Abstract
The flat Golgi cisterna is a highly conserved feature of eukaryotic cells, but how is this morphology achieved and is it related to its function in cargo sorting and export? A physical model of cisterna morphology led us to propose that sphingomyelin (SM) metabolism at the transGolgi membranes in mammalian cells essentially controls the structural features of a Golgi cisterna by regulating its association to curvaturegenerating proteins. An experimental test of this hypothesis revealed that affecting SM homeostasis converted flat cisternae into highly curled membranes with a concomitant dissociation of membrane curvaturegenerating proteins. These data lend support to our hypothesis that SM metabolism controls the structural organization of a Golgi cisterna. Together with our previously presented role of SM in controlling the location of proteins involved in glycosylation and vesicle formation, our data reveal the significance of SM metabolism in the structural organization and function of Golgi cisternae.
https://doi.org/10.7554/eLife.24603.001eLife digest
The Golgi complex is a hub inside cells that transports many proteins to various parts of the cell. It also receives freshly made proteins and modifies them to help them mature into their final active forms. The complex is made up of a stack of disclike membrane structures called cisternae.
Are the shapes of the cisternae important for the Golgi complex to work properly? Membranes are made of mixtures of molecules known as lipids and proteins. Previous experiments show that when the mixture of lipids in the Golgi membranes changes in a specific manner, the cisternae curl into an onionlike shape and the Golgi cannot process or send out proteins anymore.
Campelo et al. used mathematics and experimental approaches to investigate what causes the Golgi to change shape when the lipid mixture of the cisternae changes. A mathematical description of the shape of the Golgi predicted that some proteins keep the cisternae flat by holding the membrane rim that connects the two faces of a cisterna. To test this prediction, Campelo et al. performed experiments in human cells, which showed that when the mixture of lipids in the Golgi membranes changes, certain proteins jump from the rim, causing the cisternae to curl. These same proteins are also needed to transport cargo proteins out of the Golgi, meaning that there is a connection between the shape of the Golgi and the tasks it carries out.
The shape of the Golgi complex is altered in Alzheimer’s disease and many other neurodegenerative diseases. The next challenges are to understand how these shape changes happen, how this affects cells, and if it could be possible to develop drugs that prevent these changes from occurring in patients.
https://doi.org/10.7554/eLife.24603.002Introduction
The Golgi complex plays a central role in protein processing, sorting and transport (Emr et al., 2009). In higher eukaryotes the Golgi complex consists of multiple stacks of polarized flattened cisternae (Klumperman, 2011). Cisternae polarization allows for the directional transport and sequential processing of newly synthesized proteins arriving at the cisface of the Golgi complex from the endoplasmic reticulum (Glick and Luini, 2011; Stanley, 2011). At the transGolgi network (TGN), fully processed proteins are sorted and exported to other compartments of the secretory pathway or for secretion (Guo et al., 2014). Remarkably, despite the large influx and efflux of membranebound transport carriers, the overall morphology of the Golgi complex remains essentially unaltered. How is the shape of the Golgi cisternae maintained and how does it relate to the function of this organelle? Golgi cisternae are characterized by having a relatively large areatovolume ratio to accommodate the large numbers of incoming and outgoing transport carriers and also to efficiently regulate the enzymatic reactions occurring at the Golgi membranes (Klumperman, 2011). Moreover, a Golgi cisterna consists of two geometrically distinct regions with very different membrane curvatures: the central cisterna part, which is almost flat with the seldom presence of fenestrations or pores; and the highly bent rim of the cisterna. How the different functions of the Golgi membranes (namely, protein processing and transport) are organized between these two regions is not yet fully understood.
We previously reported that disruption of sphingomyelin (SM) organization specifically at the Golgi membranes –by SM synthasemediated formation of shortchain SM at the transGolgi membranes– leads to inhibition of transport carrier formation (Duran et al., 2012) and also to defects in transmembrane protein glycosylation and localization (van Galen et al., 2014). Interestingly, we showed that these effects occur concomitantly with an overall reduction in the lateral lipid order of the Golgi membranes (Duran et al., 2012) as well as with striking alterations in the morphology of Golgi cisternae, which abandon their typical flat morphology and become highly curled (van Galen et al., 2014). Based on our findings, we suggested that shortchain SM might not be able to generate liquidordered nanodomains at the Golgi membranes (Duran et al., 2012). However, it is still unclear whether there is any causal relation between the ability of SM to control lateral Golgi membrane organization and the observed changes in the morphology of the Golgi cisternae.
Motivated by these experimental observations, we decided to investigate the physical mechanisms by which SM metabolism controls Golgi cisternae morphology, with a general aim at understanding whether the shape and the function of the Golgi complex are two sides of the same coin and how they relate to each other. Curling of a flat Golgi cisterna has, from a physical point of view, severe consequences. A flat cisterna has a large surface area at its rim with a very high membrane curvature thereby bearing large elastic stresses (Shibata et al., 2009). Hence, cisterna curling is accompanied by a change in the distribution of the membrane elastic stresses. The quantitative analysis of the extent of these stresses and how they can be sustained within the overall cisterna morphology requires a physical description of the Golgi cisterna free energy. Here we present a biophysical model that describes the free energy of a Golgi cisterna to elucidate the mechanisms by which SM homeostasis mechanically regulates the shape of the Golgi complex and therefore its function. In the following, we describe the model, the results derived from it and the experimental validation of the model's predictions.
Results
Theoretical results
Qualitative description of the proposed mechanisms of SMregulated Golgi morphology
The shape of cellular organelles, such as the Golgi complex, results from the generation and stabilization of the curvature of their membranes (Shibata et al., 2009). According to the elastic model of membrane bending (Helfrich, 1973; Campelo et al., 2014), energy is required to induce local changes of the membrane curvature from its preferred or spontaneous curvature. This energy is generally supplied by specialized lipids and/or membrane proteins, usually referred to as membrane curvature generators (Zimmerberg and Kozlov, 2006; McMahon and Gallop, 2005; Kozlov et al., 2014). Moreover, the amount of bending energy associated with local curvature deviations is proportional to the local bending rigidity of the membrane (Helfrich, 1973). As a consequence, both local variations in the amounts of curvature generators present on the membrane and in the bending rigidity of the membrane can influence the morphology of Golgi cisternae. Taking into account these considerations, our aim here is to establish a physical model for the Golgi membrane morphology, with a special focus on understanding the mechanisms by which SM metabolism controls the overall shape of the Golgi cisternae. Similar models based on the Helfrich bending energy have been widely used in the past to describe the shapes of lipid vesicles (Seifert, 1997). In such models, transitions from flat cisternalike vesicles to curled vesicles, named stomatocytes, were promoted upon a reduction in the volumetoarea ratio. We previously proposed that reduction in the volumetoarea ratio of the Golgi cisternae could in fact be responsible for the observed flattocurled cisternae transition upon shortchain ceramide treatment (Duran et al., 2012). However, in our subsequent studies, we observed no obvious increase in the overall volumetoarea ratio of the Golgi cisternae during such a morphological transition (van Galen et al., 2014). Moreover, Golgi cisternae have an extremely low volumetosurface ratio, which does not account for the reported flat configurations according to the aforementioned models (Seifert et al., 1991; Miao et al., 1991; Seifert, 1997). Altogether, this prompted us to propose an alternative model that takes into account two contributions that could potentially influence a role in SMregulated shaping of the Golgi cisternae: (i) the presence of small, rigid, and highly dynamic membrane nanodomains enriched in sphingolipids and cholesterol; and (ii) the SMdependent recruitment to or release from the Golgi membranes of budding factors and other membrane curvature generators essential for the formation of transport carriers. We first qualitatively describe how each of these two contributions can influence the shape of a Golgi cisterna.
Nanodomain partitioningmediated mechanism
Experimental evidence has suggested the existence of nanoscopic SMenriched liquidordered domains at the Golgi membranes, although direct visualization has remained challenging (Gkantiragas et al., 2001; Klemm et al., 2009; Duran et al., 2012; Bankaitis et al., 2012; Deng et al., 2016). Based on in vitro data, such liquidordered membrane domains are expected to have a higher bending rigidity than the surrounding liquiddisordered membrane and are therefore less prone to accommodate membrane curvature (Roux et al., 2005; Heinrich et al., 2010; Dimova, 2014). In essence, the presence of large amounts of such rigid nanodomains at the highly curved rim of a flat Golgi cisterna is associated with a large bending energy penalty. There are two ways to reduce this bending energy. The first one is by partitioning these rigid nanodomains away from the rim to the flatter regions of the Golgi cisterna (Figure 1A). However, such inhomogeneous curvaturedriven nanodomain redistribution is entropically unfavorable. Therefore the balance between the bending energy and the entropic free energy dictates the optimal distribution of nanodomains along the cisterna membrane (Figure 1A). The second possibility is to decrease the surface area of the highly curved rim, hence reducing the overall bending stress of the rim, by globally changing the shape of the Golgi cisterna from a flat to a curled configuration, while maintaining the total surface area of the cisterna (Figure 1A). This morphological transition is associated with a reduction of the bending energy of the rim, but also with an increase in the bending energy of the central region of the cisternae (Knorr et al., 2012; Helfrich, 1974). Again, the balance between these two opposite contributions to the overall bending energy determines the optimal cisternae shape (Figure 1A). Obviously, these two means of decreasing the cisternae free energy are not mutually exclusive. Instead, a combination of both lateral nanodomain partitioning and a change in Golgi cisternal shape might possibly result from a decrease in the amounts of SMenriched nanodomains present at the Golgi membranes (Figure 1A).
SMdependent release of budding effectors
The budding machinery, such as the COPI and clathrin coats, is responsible for generation of large membrane curvatures that are required to form transport carriers at the Golgi membranes (Kirchhausen, 2000; Campelo and Malhotra, 2012). It is reported that budding events are more frequent at the rims of the Golgi cisternae, where the membrane is already curved thus facilitating this process (Rothman, 2010; Lavieu et al., 2013; Popoff et al., 2011; Engel et al., 2015). In addition to their role in transport carrier formation, recruitment of components of the budding machinery to the cisterna rims helps stabilizing these highly bent membranes (Figure 1B). Hence, a reduction in the amounts of membrane curvature generators present at the cisterna rim leads to an increase of the bending energy penalty of the rim, which could in turn be relaxed by a flattocurled shape transition (Figure 1B).
Prediction of flat and curled cisterna configurations
In order to quantify the relative effect in Golgi shaping of the two mechanisms proposed above, we developed a mathematical formulation of the free energy of a Golgi cisterna as a function of its shape and nanodomain distribution on the membrane. The major assumption of our model is that the time scale of mechanical equilibration of the cisterna shape is much smaller than that of the changes in lipid and protein composition through membrane fluxes. Nonequilibrium shapes should be considered only if the composition would change faster than the shape relaxed to the new equilibrium state (Sens and Rao, 2013). We can estimate the mechanical relaxation time as a combination of the characteristic viscosity, bending rigidity and length scale of the cisterna, ${\tau}_{mech}=\eta {R}^{3}/\kappa ~1ms$ (Allain et al., 2004). On the other hand, the rates of the composition changes based on the fluxes through the Golgi cisternae have been theoretically inferred from experimental data (Dmitrieff et al., 2013), resulting in a characteristic compositional relaxation time by means of membrane fluxes, ${\tau}_{flux}~100s$. Since ${\tau}_{mech}\ll {\tau}_{flux}$, the cisternae shape is assumed to be mechanically equilibrated for every instant composition. Since the composition is in a steady state, the shape is in mechanical equilibrium corresponding to this steady state composition. Hence, the equilibrium configuration of a cisterna is assumed to correspond to a free energy minimum.
We consider the cisterna membrane to have a shape of a sheet bound by a rim (Figure 1C). The sheet part is represented by two parallel membranes with intermembrane distance, $2h$, much smaller than the sheet lateral dimension, ${r}_{flat}$. The maintenance of the narrow luminal space of Golgi cisternae can result from protein arrays bridging the two parallel membranes of a cisterna, which have been visualized by cryoelectron tomography (Engel et al., 2015). Alternatively, membrane adhesion between adjacent cisternae has been shown to be required to keep the narrow luminal space in HeLa cells (Lee et al., 2014). The rim shape is modeled by an open toroid of a crosssectional radius, ${r}_{rim}$, merging the sheet boundary (Figure 1C). The distance between the bridging and/or stacking protein scaffolds forming the flat part of a cisterna and the cisterna edge sets the crosssectional radius of the cisterna rim. The sheet part of the cisterna can curve into spherical segments of variable radii, $R$, which is accompanied by the corresponding changes of the rim perimeter, $L=2\pi {r}_{gap}$, the latter measured as the length of the toroidal axis. We will use the shape parameter ${r}_{gap}$ as a means to quantitate the degree of cisternal curling.
The free energy responsible for the cisterna shape includes the elastic bending energy of the membrane sheet and rim and also the entropic cost of a nonhomogeneous partitioning of rigid nanodomains between the sheet and the rim. The bending energy is computed based on the Helfrich model (Helfrich, 1973), in which the membrane elastic properties are characterized by the bending modulus, $\kappa $, and the spontaneous curvature, ${J}_{s}$, the latter describing the intrinsic tendency of the membrane to curve (see the Materials and methods for a complete description of the model). We assume that the membrane spontaneous curvature is generated by specific proteins or proteins complexes (such as the components of the budding machinery) bound to or inserted in the outer membrane monolayer. These proteins occupy a fraction ${\varphi}_{budding}$ of the outer monolayer area, and are characterized by an effective individual spontaneous curvature, ${\zeta}_{budding}$, which has typical values in the range ${\zeta}_{budding}\approx 0.50.75n{m}^{1}$ (Campelo et al., 2008). The membrane spontaneous curvature is given by $J}_{s}=\frac{1}{2}{\varphi}_{budding}{\zeta}_{budding$ (the factor ½ accounting for the resistance of the internal monolayer to curving of the external one) and can vary along the membrane in accord with variation of the area fraction, ${\varphi}_{budding}$. (Campelo et al., 2008).
The membrane nanodomains are considered to occupy a fraction $\mathrm{\Phi}$ of the overall membrane area. The nanodomains are assumed to have a vanishing spontaneous curvature and a bending rigidity greatly exceeding that of the surrounding membrane (Roux et al., 2005; Heinrich et al., 2010). The domains can freely partition between the rim and the sheet parts of the system. The detailed presentation of the system free energy is given in the Materials and methods section. In essence, the relative contribution between the free energy of the rim and that of the rest of the cisterna mainly governs the transitions between flat and curled shapes, in analogy to other membrane systems (Helfrich, 1974; Lipowsky, 1992; Knorr et al., 2012).
We determined the equilibrium shape of a Golgi cisterna by minimizing the free energy for a given set of geometric and elastic parameters (see Table 1) upon specific assumptions. First, we consider the budding machinery to localize exclusively at the rims of the Golgi cisternae, so that the membrane of the sheet part the cisterna has a vanishing spontaneous curvature ${J}_{s,mid}=0$ while the rim membrane is characterized by ${J}_{s,rim}={J}_{s}$ (see Materials and methods). Second, we assumed that the area fraction of the curvature generators in the rim, ${\varphi}_{budding}$, ranges between 0% and 10%, so that the variation range of the membrane spontaneous curvature in the rim is $0\le {J}_{s}\le 0.033n{m}^{1}$. And third, the overall membrane area fraction covered by the nanodomains, $\mathrm{\Phi}$, varies over a wide range of values, $0\le \mathrm{\Phi}\le 0.4$.
Our model predicts that, depending on the values of the two parameters, ${J}_{s}$ and $\mathrm{\Phi}$, the minimal energy state of the system can correspond to a flat cisterna or a highly curled cisterna. In an alternative situation, referred below as the bistability state and considered in more detail in the next section, both the flat and curled shapes correspond to local energy minima. The parameter ranges corresponding to the three possible states of the system are summarized in a shape diagram (Figure 2A). Qualitatively, the model predicts that increasing the spontaneous curvature of the rim membrane by augmenting the amount of the curvature generators in the rim favors a shape transition from the curled to the flat cisterna configuration. In other words, large numbers of the budding factors at a Golgi cisterna favor flat rather than curled cisternae (see Figure 1B). Moreover, according to our computations, transitions between curled and flat cisternae are almost insensitive to variations of the nanodomain area fraction, $\mathrm{\Phi}$ (Figure 2A). The reason being that the free energy required to partition large amounts of rigid nanodomains away from the curved rim cannot be counterbalanced by the relaxation of the bending energy (see Appendix).
Additionally, we considered the situation where the budding machinery is homogeneously distributed along the whole Golgi cisterna, ${J}_{s,rim}={J}_{s,mid}={J}_{s}$, and compared the model predictions with the previous case of the curvature generators concentrated only at the rim (Figure 2A). Since the flattocurled cisterna transition is associated with an increase in the surface area of the central part of the cisterna, the presence of curvature generators therein leads to an increase in the total bending energy of this area, thereby opposing cisterna curling. Indeed, our results show no overall qualitative difference from the results in Figure 2A, but only a general shift of the shape transitions between the flat and curled cisterna configurations towards the lower values of the membrane spontaneous curvature, as well as a reduction of the parameter space occupied by the transition area (Figure 2—figure supplement 1). In the Appendix, we present an analytical estimation of the extent of this shape transition shift.
In summary, the model predicts that the presence of membrane curvature generators at the Golgi cisterna is necessary to stabilize a flat morphology and a partial release of such curvature generators destabilizes the flat shape in favor of a curled cisterna shape. In the next sections we expand, describe and analyze these results in more detail.
State of the system bistability
The bistability region of the shape diagram (Figure 2A, left, shaded region) encompasses a set of values of the spontaneous curvature of the cisterna rim, ${J}_{s}$, and of the nanodomain area fraction, $\mathrm{\Phi}$, for which the free energy has two local minima. Each of these two local minima corresponds to a locally stable cisterna configuration. This is illustrated in Figure 2B, which represents the total free energy of a Golgi cisterna as a function of the shape parameter, ${r}_{gap}$, for two sets of the parameter values within the bistability region (see Figure 2A). The two local minima of the energy correspond, respectively, to a highly curled and a flat cisterna (Figure 2B, left panel). Moreover, an energy barrier separates the two locally stable shapes. Hence, at any transition from a curled to a flat cisterna shape the system needs to overcome an energy barrier $\mathrm{\Delta}{F}_{curlflat}={F}_{max}{F}_{curl}$; whereas transition from the flat to the curled morphology requires crossing an energy barrier $\mathrm{\Delta}{F}_{flatcurl}={F}_{max}{F}_{flat}$ (see Figure 2B). We computed the values of these energy barriers for both flattocurled and curledtoflat transitions, which are shown in Figure 2A (right panel). Our results predict a relatively broad range of parameters within the bistability region of the shape diagram where the shape transition can occur by crossing relatively low energy barriers, comparable to the typical few ${k}_{B}T$ energies of thermal fluctuations (see the colorcoded plot in Figure 2A, right panel).
Control of the flattocurled cisterna transition by the membrane curvature generators
Our model predicts that the Golgi cisterna shape transition must be driven, most effectively, by variations in the amount of curvature generators present on the membranes of the Golgi rims (Figure 2A). To explore this mechanism in more depth, we considered a situation where the rim spontaneous curvature, ${J}_{s}$, is allowed to vary within a range, $0\le {J}_{s}\le 0.033n{m}^{1}$, whereas the membrane area fraction covered by nanodomains, $\mathrm{\Phi}$, is taken to be constant and equal to 0.2. Then, for each value of ${J}_{s}$, we compute (see Materials and methods) (i) which of the two possible cisterna shapes corresponds to the free energy minimum, that is, the equilibrium state; (ii) the energy value in the equilibrium state determined with respect to the flat cisterna configuration, and (iii) for the bistability range, the energy barrier between the two minimal energy states. The results, shown in Figure 3A, indicate that for large values of the spontaneous curvature,$\text{}0.024\text{}n{m}^{1}\text{}\text{}{J}_{s}\le 0.033\text{}n{m}^{1}$, the only possible stable cisterna configuration is the flat one (solid blue line, Figure 3A). An intermediate range of spontaneous curvatures, $0.016\text{}n{m}^{1}\text{}\text{}{J}_{s}0.024\text{}n{m}^{1}$, corresponds to the bistability state where both curled and flat Golgi cisternae (orange and blue lines, respectively, Figure 3A) are locally stable shapes separated by a free energy barrier. Finally, for lower values of the spontaneous curvatures, $0\le {J}_{s}\text{}\text{}0.016\text{}n{m}^{1}$, the only stable shape is that of a curled Golgi cisterna (solid orange line, Figure 3A).
Next we focused on the shape bistability region, $0.016\text{}n{m}^{1}\text{}\text{}{J}_{s}0.024\text{}n{m}^{1}$, and computed the energy at the peak of the energy barrier between the two shapes, ${F}_{max}$ (Figure 3A, black solid line). This allowed us to compute the energy barrier required to be overcome for transition from a curled to a flat cisterna, $\mathrm{\Delta}{F}_{curlflat}$; and the energy barrier of the inverse transition from the flat to the curled, $\mathrm{\Delta}{F}_{flatcurl}$ (Figure 3B). In addition, we computed the relative redistribution of nanodomains between the rim to the sheet part of the cisterna for both flat and curled cisternae shapes. These results show that there is a preferential partitioning of nanodomains from the highly curved rim region to the flatter sheet region of the cisterna, and that this partitioning is enhanced upon a reduction in the spontaneous curvature of the Golgi cisterna (Figure 3C). Notably, these results further predict the nonhomogeneous distribution of nanodomains along the Golgi membranes to be more pronounced in curled as compared to flat cisternae (Figure 3C).
Hysteretic character of the cisterna shape transitions
A hallmark of bistable systems is exhibition of hysteresis in the transition between the two states (Bhalla and Iyengar, 1999; Kholodenko, 2006; Katira et al., 2016). This means that the system retains some kind of memory of its dynamic evolution. As a result, for the same parameter values two different outputs can be expected depending on how the system dynamically evolved to that situation. In our case, for the same value of the membrane spontaneous curvature in the cisterna rim, ${J}_{s}$, two different cisterna configurations can form depending on how ${J}_{s}$ changed in time before reaching the final value.
To demonstrate this behavior, we considered a reversible trajectory of the system in the parameter space beginning from a situation where the flat cisterna morphology is the only stable shape (point one in the hysteresis diagram shown in Figure 3D) to a situation where only curled cisternae represent the locally stable shapes (point five in the hysteresis diagram shown in Figure 3D). For the sake of simplicity, we considered a trajectory where the nanodomain area fraction is kept constant and equal to $\mathrm{\Phi}=0.2$. Upon a gradual reduction of the value of ${J}_{s}$, the flat morphology ceases to be the global minimum of the free energy (point two in Figure 3D). However, a large energy barrier kinetically traps the system in the flat configuration, preventing it from acquiring its preferred curled morphology (Figure 3B). Further reduction of ${J}_{s}$ diminishes the energy barrier until the transition from a flat to a curled cisterna starts to be kinetically feasible (point 3a in Figure 3D) and even further to a point where the flat configuration does not correspond to a local energy minimum so that the curled state is the only equilibrium state of the system (point 3b in Figure 3D). The transition of the Golgi cisterna from the flat to the curled configuration is stochastically triggered at some point of the trajectory between the two values of the spontaneous curvature indicating the boundaries of the bistability region (Figure 3D). Once the system is out of the bistability region, further reduction of the membrane spontaneous curvature only subtly changes the shape of the curled cisternae in a continuous and smooth manner (until point five in Figure 3D). In the inverse process where the value of membrane spontaneous curvature, ${J}_{s}$, changes back to the initial value (point one in Figure 3D), the cisterna shape will remain in a curled configuration until ${J}_{s}$ reaches large enough values within the bistability region for which the curledtoflat shape transition becomes kinetically feasible and the Golgi cisternae abruptly flattens (somewhere between points 6a and 6b in Figure 3D).
In summary, the results shown in Figure 3D indicate that, in certain conditions, upon recovery of the amount of the curvature generators present at the Golgi membranes, the shape of the Golgi cisternae can be kinetically trapped in a curled morphology, different from the initial flat shape.
Effect of the rigid membrane nanodomains on the energy barriers of cisterna shape transitions
Next, we examined in more detail how a reduction in the amount of nanodomains at the Golgi membranes contributes to the Golgi cisterna shaping. Our model predicted that a reduction in the membrane area fraction covered by the nanodomains, $\mathrm{\Phi}$, does not affect the flattocurled Golgi cisterna transition (see Figure 2A). Nevertheless, within the bistability region, a reduction in $\mathrm{\Phi}$ reduces the energy barriers for both flattocurl and curltoflat transitions (Figure 2A, right panel). To quantify the extent of this effect, we considered two different values of the spontaneous curvature of the rim, ${J}_{s}$, within the bistability region in Figure 2A and computed the dependence of the transition energy barrier on $\mathrm{\Phi}$. The results, presented in Figure 2—figure supplement 2, show that both the energy barrier required to flatten a curled cisterna, $\mathrm{\Delta}{F}_{curlflat}$, and the energy barrier required to curl a flat cisterna, $\mathrm{\Delta}{F}_{flatcurl}$, increase with the amount of rigid nanodomains on the Golgi membranes.
Dependence of the Golgi cisternae shape diagram on the nanodomain size and cisterna surface area
One of the parameters used to compute the shape diagram in Figure 2A is the size of the SMenriched rigid lipid nanodomains, ${R}_{d}$ (see Table 1 and Materials and methods). In order to quantify the sensitivity of our results to the value of this parameter, we computed the Golgi cisterna shape diagram for two extreme values of the nanodomain size, ${R}_{d}=20nm$and ${R}_{d}=2nm$, respectively. The results, shown in Figure 4, indicate that the effect of the nanodomain size in controlling Golgi cisterna shape is relatively minor, and it mainly plays a role in controlling Golgi cisterna morphology by increasing the sensitivity of the shape transition to the nanodomain area fraction (compare Figure 2A with Figure 4A and B). Moreover, we also computed the shape diagram for a cisterna of four times larger surface area (two fold larger cisterna radius, ${r}_{flat}=1000nm$). The results of the model for this situation, shown in Figure 4—figure supplement 1, indicate that the effect of a larger cisterna surface area on the shape diagram is in shifting the transition curves to higher values of the spontaneous curvature of the cisterna rim. However, changing the surface area of the Golgi cisterna does not increase the sensitivity of flattocurled transitions to the area fraction covered by nanodomains, $\mathrm{\Phi}$ (Figure 4—figure supplement 1).
Evaluation of the effect of diacylglycerol on the cisterna shape transition
Addition of shortchain ceramide to HeLa cells leads to a local change in lipid homeostasis at the Golgi membranes (Duran et al., 2012). Besides the reduction in the levels of longchain SM and the concomitant increase in shortchain SM levels, this treatment also causes an increase in the amounts of diacylglycerol (DAG) at the Golgi membranes by 30% (from 1.4 to 1.8 mol%) (Duran et al., 2012). DAG is a lipid characterized by an effective molecular spontaneous curvature having a large negative value, ${\zeta}_{DAG}\simeq 1n{m}^{1}$ (Szule et al., 2002; Leikin et al., 1996), and exhibiting a very fast flipflop rate (Ganong and Bell, 1984; Bai and Pagano, 1997). The latter allows DAG molecules to homogeneously redistribute between the two membrane monolayers unless an active mechanism imposing DAG intermonolayer asymmetry exists.
Could it be that an increase in the levels of DAG provides an alternative mechanism for the observed morphological changes of the Golgi complex? One possibility is that DAG partitions nonhomogeneously within each monolayer of the Golgi cisterna membrane in such a way that the DAG distribution in the cytosolic monolayer has an opposite character to that in the luminal monolayer. Specifically, the top part of the cytosolic monolayer is enriched in DAG at the expense of the bottom part of this monolayer, whereas the bottom part of the luminal monolayer gets enriched in DAG at the expense of its top part. This DAG partitioning, which keeps the overall intermonolayer symmetry unchanged (Figure 5A), might help stabilize the curvature of the sheet part of the cisterna, hence, reducing the overall bending energy of the curled state (Figure 5A). However, such a nonhomogeneous DAG distribution along the membrane monolayers is entropically unfavorable and its extent, as well as its effect on the cisterna shape, has to be determined by minimization of the total free energy of the system accounting for both the bending elastic energy and the entropic contributions (see Materials and methods for details). In order to quantitatively evaluate these effects, we assumed that the total amount of DAG is symmetrically distributed between the luminal and cytosolic monolayers of the Golgi membrane. We numerically computed the cisterna configurations corresponding to a minimum of the total free energy (see Materials and methods, Equation 21) for a wide range of both the DAG mole fraction, ${\varphi}_{DAG}$, within the system, $0\le {\varphi}_{DAG}\le 0.05$, and of the spontaneous curvature of the cisterna rim membrane, $0\le {J}_{s}\le 0.033\text{}n{m}^{1}$. The results, presented in Figure 5B, show that there is a very weak dependency of the preferred cisterna shape on DAG levels. Moreover, our theoretical model predicts that, for the experimentally observed increase of DAG levels from 1.4% to 1.8% (Duran et al., 2012), would not lead to a morphological transition of a flat cisterna to the curled form (Figure 5B). Finally, we computed the relative distribution of DAG amongst the different monolayers of the Golgi cisterna. These results show that the DAG distribution is almost homogeneous for all the cisterna monolayers (Figure 5C), due to the relatively large entropy cost of inhomogeneous partitioning of such small molecules, in agreement with previous studies (Derganc, 2007; Sorre et al., 2009). Taken together, these results suggest that the increase in the levels of DAG is not the driving force for the observed curling of the Golgi cisternae.
Experimental results
Shortchain ceramide treatment causes the release of clathrin coats from the Golgi membranes prior to cisterna curling
One of the main predictions of our model is that the flattocurled cisterna transition results from a reduction in the amounts of curvature generators present at the Golgi membrane (Figure 2A). We decided to experimentally test this prediction by investigating whether shortchain ceramide treatment, which specifically disrupts SM homeostasis at the Golgi membranes and is known to drive formation of curled Golgi cisternae (van Galen et al., 2014), induces the release of peripheral membrane proteins implicated in generation of membrane curvature in the course of transport carrier formation at the Golgi membranes. It has been recently found that the metabolic generation of SM at the Golgi membranes results, via a DAGtriggered signaling pathway, in the local reduction of PI(4)P levels causing the release of PI(4)Pbinding proteins, such as the clathrinadaptor protein γadaptin, without affecting the localization of COPI components (Capasso et al., 2017). Hence, we investigated whether shortchain ceramide treatment induces the release of endogenous clathrin heavy chain (clathrinHC), one of the components of clathrincoated vesicles, the subunits of which polymerize into a cagelike triskelion structure involved in bending the underlying membrane (Kirchhausen, 2000). To this end, HeLa cells were treated with shortchain ceramide (DcerC6, 20 µM) for different times, after which the cells were fixed and the localization of endogenous clathrinHC and the TGN protein p230 was monitored by immunofluorescence microscopy. We observed that, already after 30 min of treatment with shortchain ceramide, the pool of clathrinHC initially present at the Golgi membranes was mostly released (Figure 6A,B). These results indicate that, indeed, the formation of curled cisternae upon the treatment with shortchain ceramide proceeds in parallel with a decrease in the amounts of curvature inducers at the Golgi membranes.
We next assessed the relative timing of the release of the clathrin coats from the Golgi membranes with respect to the flattocurled Golgi cisternae transition induced by shortchain ceramide treatment. For this purpose, we analyzed the ultrastructural morphology of the Golgi complex by immunoelectron microscopy after different times of shortchain ceramide treatment. Our results show that Golgi cisternae curling starts already after 30 min of DcerC6 treatment, and that after 4 hr of treatment, virtually no flat stacks are observed (Figure 6C,D). In agreement with our previous analysis (van Galen et al., 2014), cisternae curling occurs towards the transGolgi cisternae/TGN, as monitored by the localization of specific late Golgi markers (Figure 6C). We extracted from these images the radius of flat cisternae, ${r}_{flat}=510\pm 21nm$ (average ± SEM; N = 22) and the radius of curling in the 4 hr DcerC6 treated Golgi cisternae, $R=270\pm 26nm$ (average ± SEM; N = 14), which are in agreement with the condition of area conservation (Equation A2). Taken together, these results indicate that shortchain ceramide treatment leads to the release of clathrin coats thus reducing the spontaneous curvature of the Golgi membranes, which, as our model predicts, leads to the curling of the Golgi cisternae.
Experimental evidence for hysteresis of Golgi cisternae morphology during recovery from shortchain ceramide treatment
Our model predicts the existence of a bistability region in the cisterna shape diagram, a relatively large range of parameters where both flat and curled Golgi cisternae correspond to locally stable shapes (Figure 2A). As we showed, the transitions between the flat and curled configurations within the bistability region are expected to have a hysteretic character (Figure 3D). To experimentally test whether Golgi cisterna shape transition induced by shortchain ceramide treatment exhibits hysteresis, we performed shortchain ceramide washout experiments to monitor the timing of recovery of both the Golgi morphology and the amounts of clathrin present at the Golgi membranes as the cells return to steady conditions.
We first investigated how the dynamics of recovery of the Golgi cisternae shape during shortchain ceramide washout correlates with the recruitment of clathrin coats to the Golgi membranes. To this aim, we pretreated HeLa cells with DcerC6 for 30 min, after which the cells were extensively washed and incubated with normal growth medium for different times. Then the cells were fixed and the intracellular localization of clathrinHC was monitored by immunofluorescence microscopy. The results of this experiment show that a 2 hr shortchain ceramide washout is sufficient to recover similar levels of clathrinHC at the Golgi membranes as to those found in untreated cells (Figure 6A,B). Recovery of normal clathrinHC levels at the Golgi membranes after a 4 hr DcerC6 treatment is slower, and occurs in about 6 hr (Figure 6—figure supplement 1).
Next, we performed analogous washout experiments to monitor the timing of Golgi cisternae shape recovery. We added DcerC6 to HeLa cells for 30 min, after which the cells were extensively washed and incubated in complete medium without DcerC6 for different times. The cells were then fixed and the ultrastructure of the Golgi cisternae was visualized by immunoelectron microscopy (Figure 6C). Our results show that the curledtoflat Golgi cisterna transition during shortchain ceramide washout occurs at a much slower kinetics as the recovery of the clathrin coats to the Golgi membranes (Figure 6B,D). Indeed, even 16 hr after the shortchain ceramide washout –a condition where the Golgi membranes already recovered their stationary pools of clathrin coats– both flat and curled Golgi cisternae can still be observed (Figure 6C,D).
To confirm these observations, we used an alternative approach to quantitate the dynamics of the curledtoflat Golgi shape transition promoted during shortchain ceramide washout. We took advantage of the fact that the curling of the Golgi cisternae induced by shortchain ceramide is accompanied by a lateral segregation of different Golgiresident proteins, such as TGN46 and p230, and that the level of this segregation can be quantitatively assessed by immunofluorescence microscopy (van Galen et al., 2014). Although the observed protein segregation correlates with changes in Golgi membrane morphology, its driving mechanisms still remain unknown (van Galen et al., 2014). To monitor the dynamics of protein segregation during Golgi shape recovery after shortchain ceramide treatment, HeLa cells were treated with DcerC6 for 30 min or 4 hr, after which the cells were extensively washed, and incubated in normal medium without shortchain ceramide for different times before being fixed. Then, the intracellular localization of the two transGolgi membrane proteins p230 and TGN46 was monitored by immunofluorescence microscopy and the relative colocalization of the two proteins was quantitated by means of the Pearson's correlation coefficient. Our results confirm that cells pretreated with shortchain ceramide for 30 min required about 12 hr to recover the initial levels of p230 and TGN46 colocalization, whereas a longer 4 hr pretreatment with DcerC6 required about 24 hr for a complete recovery (Figure 6E).
Taken together, these results indicate that, after shortchain ceramide washout, the recovery of the levels of clathrinHC at the Golgi membranes (which we suggest parallels the recovery of the initial values of the membrane spontaneous curvature) occurs much faster than the recovery of the flat cisternae morphology and of protein colocalization. This is indicative of a hysteretic behavior of the transition from flattocurled cisternae and reverse, as our model predicts.
Discussion
The architecture of the Golgi complex in higher eukaryotes has been the subject of extensive research using numerous experimental approaches, including electron and immunofluorescence microscopy techniques (see [Klumperman, 2011] for a review). Generally, the Golgi complex in mammalian cells consists of a set of 4–8 flatlike cisternae stacked to each other (Emr et al., 2009). Each of these cisternae has a relatively flat central part and a highly curved rim. What is the connection between the shape of Golgi cisternae and the functions of this organelle? It has been suggested that the large surfacetovolume ratio of the Golgi cisternae helps accommodating the continuous influx and efflux of transport carriers to and from these membranes (Griffiths et al., 1989; Glick and Nakano, 2009). Moreover, two of the principal functions of the Golgi complex –protein glycosylation and transport– need to be spatially and timely organized to ensure their efficiency. Thus, it has been proposed that processing events localize preferentially at the central flat part of the Golgi cisternae, whereas transport carrier formation occurs at the rims of the Golgi membranes (Rothman, 2010; Popoff et al., 2011; van Galen et al., 2014; Engel et al., 2015).
We previously showed the importance of SM homeostasis in protein organization and function at the Golgi membranes (Duran et al., 2012; van Galen et al., 2014). In particular, we revealed that selective disruption of SM organization at the Golgi membranes leads to (i) an overall reduction in the lateral order of the Golgi membranes (Duran et al., 2012), (ii) a strong inhibition of transport carrier formation at the Golgi complex (Duran et al., 2012), and (iii) a defect in the formation of functional enzymatic domains caused by the physical segregation between Golgi resident enzymes and their substrates (van Galen et al., 2014). Intriguingly, these effects parallel an abrupt change in the morphology of the Golgi complex, which turns from a stack of flat cisternae into an onionlike stack of highly curled cisternae (van Galen et al., 2014). In the present study, we aimed at resolving the mechanism by which SM metabolism controls the morphology of the Golgi cisternae. Our approach consisted in the elaboration of a theoretical biophysical model of Golgi cisternae morphology that describes the membrane free energy including the contributions arising from the elastic energy of membrane bending and the entropic contribution of lateral partitioning of SMrich nanodomains. Our model explains the existence of two distinct families of Golgi cisternae shapes, flat and highly curled cisternae. Moreover, our model predicts the existence of a flattocurled shape transition triggered by a reduction in the amounts of membrane curvature generators at the Golgi membranes. We experimentally tested this theoretical prediction and observed that clathrin, a protein involved in the assembly of the large membrane curvatures required for the formation of clathrincoated vesicles at the Golgi membranes, was reduced at the Golgi membranes as a result of SM homeostasis alteration.
Another key prediction of our model is that the flattocurled Golgi cisterna transition is practically insensitive to changes in the amounts of SMrich rigid nanodomains (Figure 2A). These results indicate that such rigid membrane domains are not sufficient to stabilize the flat cisterna configuration in the absence of membrane curvature generating proteins stabilizing the highly curved rim (see orange region in the shape diagram, Figure 2A). However, our model predicts a nonhomogeneous partitioning of such lipid nanodomains along the Golgi membrane (Figure 3C). Specifically, rigid nanodomains tend to be concentrated at the central, flatter part of the cisterna rather than at the rim. The extent of the nanodomain redistribution from the rim to the central part of the cisterna is gradually magnified upon the decrease in the amounts of curvature generating proteins at the rim for both flat and curled cisterna configurations (Figure 3C). We hypothesize that such redistribution could be a causal link to the previously reported defects in protein glycosylation in cells where SM homeostasis had been altered (van Galen et al., 2014). According to this conjecture, lateral segregation of Golgiresident enzymes from their substrates would follow from the lateral repartitioning of lipid nanodomains along the surface of the Golgi cisterna. We propose that during shortchain ceramide washout, three processes with different dynamics occur simultaneously (see Figure 7): (i) recovery of normal levels of membrane curvature generators, which, for a 30' treatment, takes about 2 hr (Figure 6B); (ii) recovery of the amounts of nanodomains, which we propose is in direct correlation to the recovery of protein colocalization at the Golgi membranes, takes about 12 hr (Figure 6E); and (iii) recovery of the flat Golgi morphology, which takes about 16 hr (Figure 6D). Testing this hypothesis requires further experimental work, the results of which will advance our understanding of the role that lipid homeostasis and membrane lateral organization play in regulating the functions of the Golgi complex.
DAG acts as a signaling effector rather than as a molecular shaper to control Golgi membrane morphology
DAG is a key regulator involved in transport carrier biogenesis at the Golgi membranes (Baron and Malhotra, 2002; Bard and Malhotra, 2006; FernándezUlibarri et al., 2007; Malhotra and Campelo, 2011). On the one hand, DAG is a conical lipid, which has the ability on its own to generate negative (positive) membrane curvature if asymmetrically enriched in the cytosolic (luminal) leaflet of a membrane (Carrasco and Mérida, 2007; Leikin et al., 1996; Szule et al., 2002). On the other hand, protein kinase D (PKD), a protein that controls the fission of TGNtocell surface transport carriers (Malhotra and Campelo, 2011; Campelo and Malhotra, 2012), is directly recruited to the TGN by binding to DAG (Maeda et al., 2001; Liljedahl et al., 2001; Baron and Malhotra, 2002). It has been reported that low levels of DAG leads to defects in protein export from the TGN (Baron and Malhotra, 2002) and to abnormal Golgi morphology (Litvak et al., 2005). In contrast, local increase in DAG levels leads to the activation of PKD (Malhotra and Campelo, 2011). Active PKD phosphorylates a number of substrates at the TGN membranes, including the lipid kinase PI4KIIIβ (Hausser et al., 2005), the lipid transport proteins CERT (Fugmann et al., 2007), and OSBP (Nhek et al., 2010), thus regulating the local lipid homeostasis. The theoretical results presented here (Figure 5) indicate that changes in the DAG levels do not directly promote a flattocurled Golgi cisternae transition by redistributing along the membrane and changing its curvature. Importantly, it has been recently shown that a local burst in DAG levels at the Golgi membranes caused by increased sphingolipid metabolic flow leads to a peak of activation of PKD, which in turn, through a downstream signaling cascade, results in the consumption of PI(4)P and the consequent release of PI(4)Pbinding proteins (Capasso et al., 2017). Phosphoinositides are mostly localized away from SMrich rigid nanodomains (Arumugam and Bassereau, 2015), thus suggesting that this signaling event occurring at the cytosolic side of the membrane is spatially uncoupled from SMrich rigid nanodomains in the lumenal leaflet. Based on these results and on our results showing that clathrin coats are released from the Golgi membranes prior to shortchain ceramidemediated flattocurled Golgi cisterna transition, we propose that SM metabolism, through the byproduct DAG, indirectly controls Golgi morphology by means of a downstream PKDdependent signaling cascade rather than by playing a direct mechanical part in membrane bending.
Membrane curvature generators dynamically stabilize the flat shape of Golgi cisternae
One of the main results of our model is that the release of membrane curvaturegenerating proteins leads to the destabilization of the flat Golgi cisterna configuration, triggering a morphological transition towards a curled configuration. Being the central hub of the secretory pathway, the Golgi complex recruits a number of different curvaturegenerating proteins to efficiently sustain transport carrier formation (CruzGarcia et al., 2013; Bonazzi et al., 2005; Campelo and Malhotra, 2012). Our results suggest that the role of such proteins is twofold. First, they induce membrane curvature to accommodate the secretory cargoes into nascent budding carriers prior to their fission from the Golgi membranes. Second, this dynamic series of budding and scission events serves to stabilize the highly bent rims of the Golgi cisternae. As such, we propose that the shape and function of Golgi membranes are maintained by membrane curvature generators via a positive feedback loop where the highly bent Golgi rims provide optimal nucleation sites for the budding of transport carriers. At the same time, the machinery involved in this process maintains and stabilizes a functionally optimal Golgi cisternae morphology. Does the presence of clathrin coats on the Golgi membranes represent the main driving force for flat cisternae stabilization? Or are there other curvatureinducing proteins involved? Altered SM metabolic flow at the Golgi membranes did not affect the localization of COPI components (Capasso et al., 2017) to those membranes. However, other curvature generators might be released in addition to clathrin due to the defects in SM metabolism. It has been recently reported that knockdown of the two Golgilocalized PI(4) kinases in Atg5 knockout cells induces curling of the Golgi cisternae (Yamaguchi et al., 2016). Moreover, it has been shown that components of the COPI machinery are released from the Golgi membranes in HeLa cells incubated at 15°C, a situation that parallels curling of the Golgi cisternae towards the cis side of the stack (MartínezAlonso et al., 2005). Altogether, we propose that maintenance of the flat Golgi cisternae morphology requires a combined effort of different classes of curvature generating proteins and that the release of a subset of these proteins can lead to the destabilization of the flat configuration. We suggest that the breaking of the stack symmetry upon cisternae curling is driven by the initial release of rim stabilizers from a few cisternae (transcisternae in our experiments, ciscisternae in [MartínezAlonso et al., 2005]), which is then followed by the other cisternae. From a theoretical perspective, the effect of including multiple cisternae with different levels of budding effectors is analyzed and discussed in the Appendix. In brief, our results indicate that Golgi curling must parallel some level of release of curvature generators from all Golgi cisternae. Further experiments are needed to test this.
Our model predicts the existence of shape bistability within a certain range of values of the membrane spontaneous curvature and of the membrane area fraction covered by rigid nanodomains (Figure 2A). Within this region of the parameter space, both flat and curled cisterna configurations correspond to locally stable shapes (Figure 2B). This means that the system can be kinetically trapped in a metastable configuration, which corresponds to a local but not global minimum of the cisterna free energy before it relaxes to the globally stable configuration. Such transition from a metastable to a stable configuration needs to overcome an energy barrier. If the value of the energy barrier is relatively small, transition to the stable configuration can be overcome by thermal fluctuations of the Golgi cisterna shape. Such thermallytriggered transitions follow Arrhenius kinetics, according to which an average transition time, $\tau $, can be estimated as $\tau ={t}_{0}{e}^{\text{\Delta}F/{k}_{B}T}$, where ${t}_{0}$ is a characteristic time scale of Golgi cisterna fluctuations and $\mathrm{\Delta}F$ is the height of the energy barrier (Hänggi et al., 1990; Morlot et al., 2012). As mentioned above, we can estimate ${t}_{0}\approx 1ms$ from hydrodynamic arguments as ${t}_{0}=\eta {R}^{3}/\kappa $ (Allain et al., 2004), where $\eta $ is the cytosol viscosity, $R$ is a typical length scale of a Golgi cisterna, and $\kappa $ is the bending rigidity of the membrane. We can qualitatively compare this to our experimental results on the curledtoflat Golgi cisterna transition during shortchain ceramide washout (Figure 6). Those results indicated that 14 hr after the recovery of normal clathrin levels at the Golgi membranes, about 50% of Golgi stacks were composed of flat cisternae (Figure 6D). According to the aforementioned kinetics, such shape transition time corresponds to an energy barrier for the curledtoflat transition of $\mathrm{\Delta}F\approx 18\text{}{k}_{B}T$. If we compare this estimation for the curledtoflat transition to the numerical results of our model (Figure 2A), we find that the spontaneous curvature at the Golgi cisterna rims in the fully recovered state should be of the order of ${J}_{s}\approx 0.0225n{m}^{1}$. Following the relationship between the membrane spontaneous curvature and the area fraction covered by the curvature generators (Campelo et al., 2008), the predicted cisterna spontaneous curvature corresponds to a membrane area fraction covered by curvature generators of $510\%$, which is a physiologically reasonable estimation. Moreover, we showed that the time of recovery of Golgi protein localization after shortchain ceramide treatment depends on the duration of the treatment (Figure 6E). These different recovery times, we suggest, can be explained by the fact that the longer the treatment with shortchain ceramide, the lower the levels of longchain SM at the Golgi membranes. Hence, a longer time would be required for the Golgi membranes to recover their normal levels of SMrich nanodomains and, according to our hypothesis, of Golgi protein recovery.
Likewise, our model predicts that the Golgi cisterna shape transition is, in thermodynamic terms, a firstorder transition because the transition is discontinuous in the shape parameter (in our case, the distance between the center of the cisterna rim and the axis of symmetry, ${r}_{gap}$) (Figure 3D). This indicates that once the transition from a flat cisterna (${r}_{gap}=500nm$) to a highly curled cisterna ($40\text{}nm\text{}\text{}{r}_{gap}\text{}\text{}100\text{}nm$) is triggered, the transition is abrupt because no cisternae of intermediate curling correspond to a locally stable configuration (Figure 3D). Although it is hard to extract quantitative information of the curled cisterna gap opening size, ${r}_{gap}$, from the ultrathin sections (Figure 6C) to compare with the theoretical predictions, our ultrastructural analysis of the Golgi morphology qualitatively showed that Golgi curling indeed occurs in an abrupt manner (Figure 6C).
In summary, we have presented a theoretical biophysical model of Golgi cisterna morphology, which describes the existence of stable flat and curled Golgi cisternae for different values of the membrane spontaneous curvature. We experimentally validated some of the model's predictions. In particular, our model helps explaining the mechanisms by which a reversible flattocurled Golgi cisternae transition is induced upon disruption of SM homeostasis by shortchain ceramide treatment. Flat Golgi cisternae in untreated HeLa cells have stationary levels of different curvatureinducing proteins, such as components of the clathrincoated vesicle machinery (Figure 7, top left cartoon). Moreover, a certain amount of small, dynamic, SMenriched rigid nanodomains might be present in the membrane, and slightly enriched in the central flat part of the cisterna (Figure 7, top left cartoon). Treatment of cells with DcerC6 has a twofold effect on the Golgi membrane properties: it causes the release of clathrin from the membranes (Figure 6A,B) and decreases the lateral order of the Golgi membranes (Duran et al., 2012) (Figure 7, top right cartoon). The results of our model show that the decrease in membrane spontaneous curvature (through the release of curvature generating proteins such as clathrin) but not a reduction in the number of rigid nanodomains alters the cisterna free energy profile to a situation where the flat cisterna configuration is unstable and hence a fast flattocurled cisterna transition occurs (Figure 7, right). Shortchain ceramide washout leads to the recruitment of clathrin back to the Golgi membranes (Figure 6A,B) and, we suggest, also leads to the recovery of the initial levels of SMenriched rigid nanodomains (Figure 7, bottom left). Under these conditions the system free energy profile presents shape bistability, so the Golgi cisternae are kinetically trapped in the curled configuration. Hence, the curledtoflat cisterna transition is slow because it requires the energy barrier to be overcome by thermal fluctuations (Figure 7, left).
Overall, the model presented in here together with some of its experimental validation underscore the crucial role of SM metabolism in regulating the structural morphology and function of the Golgi cisternae. We foresee that future experimental work along these lines will strengthen our predictions and will help to understand better the different factors governing the shape and function of the Golgi complex.
Materials and methods
Reagents and antibodies
Request a detailed protocolNhexanoylDerythrosphingosine (DcerC6) was obtained from Matreya and dissolved in pure ethanol (Merck) to a 10 mM stock solution. Sheep anti–human TGN46 was obtained from AbD Serotec (BioRad / AbD Serotec Cat# AHP500, RRID:AB_324049). Mouse antip230 was obtained from BD (BD Biosciences Cat# 611280, RRID:AB_398808). Goat antiClathrinHC antibody was from Santa Cruz (Santa Cruz Biotechnology Cat# sc6579, RRID:AB_2083170). Alexa Fluor–labeled secondary antibodies were obtained from Invitrogen.
Cell culture
Request a detailed protocolHeLa cells, obtained from ATCC, were cultured in DMEM (Lonza) containing 10% FCS. HeLa cells stably expressing the plasmid encoding the first 100 amino acids of rat mannosidaseII in the pEGFPN1 vector (HeLaMannIIGFP cells) were described previously (Sütterlin et al., 2005; van Galen et al., 2014). All cell lines were periodically checked for mycoplasma contamination.
Immunofluorescence microscopy
Request a detailed protocolFor clathrinHC immunostaining, samples were fixed and permeabilized in methanol for 6 min at −20°C. For p230 immunostaining, samples were fixed with 4% formaldehyde in PBS for 20 min and permeabilized with 0.2% Triton X100 in PBS for 30 min. Fixed cells were then blocked in 2% BSA in PBS for 30 min before antibody staining. Cells were then sequentially incubated for 1 hr at room temperature first with primary and then with secondary antibodies diluted in blocking buffer. Samples were analyzed with a confocal system (TCS SP5 II CW STED; Leica) in confocal mode using a 100x, 1.4 NA objective and HyD detectors (Leica). Alexa Fluor 488–, 568, 594conjugated secondary antibodies were used. Images were acquired using the Leica software and converted to TIFF files using ImageJ (version 1.43; National Institutes of Health). Twochannel colocalization analysis was performed using ImageJ, and the Pearson’s correlation coefficient was calculated using the Manders’ coefficients plugin developed at the Wright Cell Imaging Facility (Toronto, Ontario, Canada).
Immunoelectron microscopy
Request a detailed protocolThe samples were fixed and prepared using standard methods, essentially as described previously (Rizzo et al., 2013). In brief, the cells were fixed with 2% paraformaldehyde and 0.2% gluteraldehyde in PBS, for 2 hr at room temperature. The cells were then washed with PBS/0.02 M glycine, scraped in 12% gelatin in PBS, and then embedded in the same solution. The cells embedded in gelatin were cut in 1 mm blocks and infiltrated with 2.3 M sucrose at 4°C, mounted on aluminum pins, and frozen in liquid nitrogen. The samples were then sectioned and the ultrathin cryosections were picked up in a mixture of 50% sucrose and 50% methylcellulose and incubated with antibodies to antigen of interest (antiGFP and antip230) followed by protein A gold. The samples were observed in the FEI Tecnai12 electron microscope.
Physical model of Golgi cisternae morphology
In this section we formulate in mathematical terms the physical model we used to describe how Golgi cisterna morphology is controlled by variations in SM homeostasis and metabolism. In the two following subsections we describe, respectively, (i) the system geometry, that is, the possible geometrical configurations of the Golgi cisterna; and (ii) the system free energy.
Geometrical description of a Golgi cisterna
Request a detailed protocolThe Golgi complex in mammalian cells and in most eukaryotes consists of multiple stacks of flattened disclike cisternae (Klumperman, 2011). Our previously (van Galen et al., 2014) and presently reported ultrastructural data shows that normal Golgi morphology is altered in cells where SM metabolism had been disrupted. Under those conditions, the original flatlike cisternae curl into a concentric stacked onionlike structure. Based on those data, we describe the morphology of a single flat Golgi cisterna as explained in the main text (Figure 1C). In the Appendix we describe the effect of having multiple stacked cisternae. The overall Golgi curling is geometrically characterized by the radius of curvature of the Golgi cisterna, $R$, which tends to infinity for a completely flat Golgi cisterna (Figure 1C). Alternatively, the degree of Golgi curling can also be described by the distance between the center of the cisterna rim and the axis of symmetry, ${r}_{gap}$ (Figure 1C). Hence, ${r}_{gap}={r}_{flat}$ for a completely flat cisterna, and ${r}_{gap}\to {r}_{rim}$ for highly curled cisternae. Based on the ultrastructural data, we assume that the total surface area of a Golgi cisterna membrane, $A$, the luminal thickness of the cisterna, $2h$, and the radius of the rim, ${r}_{rim}$, do not change as a result of cisternae deformation (van Galen et al., 2014). In an unconstrained system, the natural tendency of the system to minimize the bending energy is by adjusting the radius of the rim to match the spontaneous curvature. In our model, the radius of the rim crosssection is set by the distance between a protein scaffold forming the flat part of a cisterna and the cisterna edge. For example, if such scaffold would extend beyond the cisterna, e.g. if a cisterna would be formed by flattening of a big liposome between two infinite flat rigid plates, the edge crosssectional radius would be simply equal to the cisterna halfthickness, independently of the spontaneous curvature of the rim. The fact that the rim is somewhat swollen as compared to the cisterna thickness reflects the distance to which the scaffold edge approached the cisterna edge. In this model, the membrane spontaneous curvature could influence the detailed shape of the edge crosssection profile resulting in its deviation from the circular shape. This would be the case for the shapes where ${r}_{rim}$ is comparable to ${r}_{gap}$. Taking into account this effect would result in corrections of the rim energy but on a semiquantitative level of description we neglect these corrections. The molecular identity of such protein scaffold could be the spacer proteins maintaining the luminal thickness and/or the stacking factors keeping the subsequent cisternae stacked. Interestingly, it has been experimentally shown that knockdown of the stacking/tethering factors GRASP55/65 or Golgin45/GM130 in HeLa cells leads to the cisternae unstacking, and swelling of the lumen and rims of the Golgi cisternae (Lee et al., 2014). Altogether this means that the total area, $A=A\left({r}_{gap}\right)$, which is the sum of the area of the central part of the cisterna, ${A}_{mid}\left({r}_{gap}\right)$, and the area of the rim, ${A}_{rim}\left({r}_{gap}\right)$, is the same regardless of the cisternae morphology, that is, for all values ${r}_{rim}<{r}_{gap}\le {r}_{flat}$. On the one hand, the total surface area of the rim region, ${A}_{rim}\left({r}_{gap}\right)$, can be obtained by using the area element,
where $\left\{\phi ,\theta \right\}$ are toroidal coordinates (see Figure 1—figure supplement 1). Then, the surface area of the rim is written as
where ${\phi}_{0}=arcsin\left(12{{r}_{gap}}^{2}/{{r}_{flat}}^{2}\right)$ and $\alpha =arcsin(h/{r}_{rim})$ (see Figure 1—figure supplement 1). On the other hand, we can express the area of the central part of the cisterna as
Thus, for the flat morphology, where ${r}_{gap}={r}_{flat}$, we can write
which sets the constrained value of the total surface area of a Golgi cisterna. Finally, by using Equations (2), (3), and (4) we can mutually relate the two parameters describing cisternae curling, $R$ and ${r}_{gap}$, as
In the Appendix we derive simpler version of these equations by imposing a few approximations. This approximate theory will allow us to have analytical estimations of the main numerical results of this article.
Physical description of the free energy of a Golgi cisterna
Request a detailed protocolOur model considers that the total free energy of a Golgi cisterna, $F$, has two contributions: the first one is the free energy of lipid nanodomain partitioning, ${F}_{part}$, and the second one is the membrane bending energy, ${F}_{bend}$.
The free energy of lipid nanodomain partitioning is an entropic term associated with a possible nonhomogeneous distribution of liquidordered nanodomains along the membrane. This free energy term is given by
where $T$ is the absolute temperature and ${S}_{part}$ is the translational entropy associated with the lateral distribution of nanodomains. For the sake of simplicity, we model these domains as small, uniformly sized circular membrane patches of radius ${R}_{d}$. The total cisternae membrane area fraction covered by such nanodomains is given by $\mathrm{\Phi}=\pi {R}_{d}^{2}{N}_{d}/A$, where ${N}_{d}$ is the number of nanodomains. We use the area fraction covered by nanodomains, $\mathrm{\Phi}$, as a free parameter in our model. We also have to take into consideration the dynamics of the SMenriched nanodomains, which can be continuously formed, reabsorbed and also diffuse along the membrane. However, these processes occur at much faster time scales (of the order of nanoseconds) (Eggeling et al., 2009) than the typical time scale of global shape remodeling of the Golgi membranes (of the order of seconds) (Bankaitis et al., 2012). Hence, for the purpose of finding how SM levels control the shape of the Golgi membranes, we can disregard domain dynamics and consider that the rigid nanodomains optimally and instantly redistribute along the membrane during cisternae deformation. Taken together these premises, we can write down an expression for the entropy of nanodomain partitioning, using a meanfield approach, as (Boucrot et al., 2012; Kozlov and Helfrich, 1992; Shemesh et al., 2003; Andelman et al., 1994; Derganc, 2007; Bozic et al., 2006)
where ${k}_{B}=1.38\times {10}^{23}J\bullet {K}^{1}$ is the Boltzmann constant, ${a}_{dom}=\pi {R}_{d}{}^{2}$ is the surface area of a single domain, and $\varphi \left(\overrightarrow{x}\right)$ is the local area fraction of SM nanodomains on the membrane, the area average of which is the total area fraction covered by nanodomains, $\mathrm{\Phi}=\frac{1}{A}\int \varphi \left(\overrightarrow{x}\right)dA$. We consider, for the sake of simplicity, that differential partitioning can only occur between the central region of the cisterna and the cisterna rim, where the membrane curvatures are considerably different from each other. The average nanodomain area fractions in each of these two regions are given by ${\mathrm{\Phi}}_{mid}=\frac{1}{{A}_{mid}}\int \varphi \left(\overrightarrow{x}\right)dA$, and ${\mathrm{\Phi}}_{rim}=\frac{1}{{A}_{rim}}\int \varphi \left(\overrightarrow{x}\right)dA$, where the integrals are performed over the central and rim areas of the cisterna, respectively. Conservation of the total area fraction covered by nanodomains leads to the following relationship
where ${A}_{rim}$ and ${A}_{mid}$ are, respectively, the surface area of the rim and central regions of the cisterna (Equations (2) and (3), respectively). Altogether, we can write Equation (6) as
where $\mathrm{\Phi}}_{mid$ is given by Equation (8).
The second contribution to the total membrane free energy comes from the energy of membrane bending, given by the Helfrich Hamiltonian (Helfrich, 1973). The membrane bending energy per unit area is given by
where $\kappa $ and $\overline{\kappa}$ are the bending modulus and the modulus of Gaussian curvature, respectively; $J$ and $K$ are the total and Gaussian curvatures of the membrane, respectively; and ${J}_{s}$ is the spontaneous curvature of the membrane. We assume that a priori there is no spatial correlation between the distribution of rigid nanodomains and of curvature generators. Indeed, SMSmediated synthesis of SM is restricted to the luminal leaflet of the transGolgi membranes (Huitema et al., 2004), whereas recruitment of curvature generators occurs on the cytosolic side of the membrane. Although transbilayer lipid coupling between phosphatidylserine and long acyl chain lipids has been shown to occur at the level of the plasma membrane (Raghupathy et al., 2015), and a specific SM species has been shown to bind transmembrane cargo receptor at the Golgi membranes (Contreras et al., 2012), it is not clear how SMrich nanodomains in the inner leaflet of the transGolgi membranes are coupled to the budding effector recruitment at the opposed side. The total bending energy of the cisterna is the integral of the free energy density, Equation (10), along the area of the cisterna,
For a laterally inhomogeneous membrane formed by a set of rigid nanodomains, the elastic moduli vary from regions of high membrane order to regions of low membrane order. We can locally describe the bending modulus of such a membrane as
where $\kappa \left(\overrightarrow{x}\right)$ is the local bending modulus, which has the meaning of an average over soft and rigid membrane domains (Kozlov and Helfrich, 1992; Markin, 1981). Moreover, ${\kappa}_{ld}$ and ${\kappa}_{lo}$ are the bending rigidities of a purely liquiddisordered membrane and of a purely liquidordered membrane, respectively. Based on different experimental studies (Roux et al., 2005; Heinrich et al., 2010), we take the values of these rigidities as ${\kappa}_{ld}=20{k}_{B}T$ and ${\kappa}_{lo}=80{k}_{B}T$. Similarly, ${\overline{\kappa}}_{ld}$ and ${\overline{\kappa}}_{lo}$ represent the moduli of Gaussian curvature of purely liquiddisordered and liquidordered membranes, respectively. Theoretical considerations, as well as indirect experimental evidence estimate the value of the modulus of Gaussian curvature to be $\overline{\kappa}={\alpha}_{\overline{\kappa}}\kappa $, where ${\alpha}_{\overline{\kappa}}$ is a proportionality factor that ranges between −0.2 and −0.83 (Templer et al., 1998; Siegel and Kozlov, 2004). It should be noted that the GaussBonnet theorem cannot be applied to the Gaussian curvature term of the free energy Equation (11) since the modulus of Gaussian curvature is not constant along the membrane area (Allain et al., 2004). This term is therefore not a topological invariant for laterally inhomogeneous membranes, and therefore needs to be explicitly taken into account. To compute the bending energy in the geometry illustrated in Figure 1C, we separately consider the contributions to the elastic free energy of the rim region and of the central region of the cisterna, ${F}_{bend}={F}_{bend}^{mid}+{F}_{bend}^{rim}$. These two regions are characterized by having an approximately constant total curvature. Hence, as mentioned above, we assume that there is a differential partitioning of SMrich liquidordered nanodomains between the central and the rim regions of the cisternae. The details of the derivation of the expression for the free energy of bending of the cisternae central part, ${F}_{bend}^{mid}$, and of the cisternae rim, ${F}_{bend}^{rim}$, are found in the next section.
Finally, the total membrane free energy is given by
where the individual contributions to the total free energy are given by Equations (17), (20), and (6). In the model we consider that the spontaneous curvature of the membrane could take different values at the rim and central regions, ${J}_{s,rim}$ and ${J}_{s,mid}$, respectively. The total membrane free energy Equation (13) depends on a set of geometric parameters describing the cisterna morphology, $\left\{{r}_{gap},{r}_{flat},{r}_{rim},h\right\}$; a set of nanodomainrelated parameters $\left\{{R}_{d},\mathrm{\Phi},{\mathrm{\Phi}}_{rim}\right\}$; and a set of parameters describing the elastic properties of the membrane, $\left\{{\kappa}_{ld},{\kappa}_{lo},{\alpha}_{\overline{\kappa}},{J}_{s,rim},{J}_{s,mid}\right\}$. A thermodynamic treatment of the curvature effectors could in principle be incorporated into the model. However, in order to reduce the amount of free variables in the model, we distinguished two extreme situations: (i) the membrane bending proteins, contributors to the membrane spontaneous curvature, are only localized at the rims of the Golgi cisternae, implying that ${J}_{s,mid}=0$ and ${J}_{s,rim}={J}_{s}$, which could be explained by the fact that membrane recruitment of some of these proteins is highly sensitive to membrane curvature (Antonny, 2011); and (ii) the budding machinery is homogeneously distributed along the whole Golgi membrane, ${J}_{s,mid}={J}_{s,rim}={J}_{s}$. As we showed, the results are qualitatively similar when considering the presence of curvature generators in the central part of the Golgi cisternae, but the shape transition quantitatively shifts. The reason for such a shift comes from the fact that, since the total surface area is conserved, curling of a cisterna leads to an increase in the surface area of the central part of the cisterna, concomitant with a decrease in the surface area of the rim. Hence, increasing ${J}_{s,mid}$ leads to an increase in the bending energy of this region, thereby penalizing cisterna curling and eventually shifting the flattocurled cisterna transition towards smaller values of the spontaneous curvature. In the Appendix we present an analytical estimation of this shift, under certain approximations. In summary, of all the abovementioned parameters, there are only two free parameters that can change as a result of membrane deformation. The first describes the level of cisternae membrane curling, ${r}_{gap}$, and the second is associated to the level of nanodomain partitioning between high and lowcurvature membrane regions, $\mathrm{\Phi}}_{rim$. Therefore, the optimal gap aperture radius and partitioning of the nanodomains between the rim and the middle part of the cisterna, $\left\{{r}_{gap}^{\ast},{\mathrm{\Phi}}_{rim}^{\ast}\right\}$, correspond to the global minimum of the total free energy in the entire parameter space,
The values of the rest of the parameters are fixed and determined from other studies or vary within a range of possible values (see Table 1).
Mathematical expression of the bending free energy of a membrane cisterna
The derivation of total bending energy of a Golgi cisterna is detailed here, taking separately the contributions from the central part of the cisterna and of the cisterna rim. In the Appendix we also present simplified analytical expressions for the free energy of the cisterna, obtained under certain approximations.
Central region
Request a detailed protocolThe total and Gaussian curvatures along the surface of the central part of the Golgi cisterna are given by ${J}_{mid}=\pm 2/R$, and $K=1/{R}^{2}$, respectively, where the plus and minus signs in the total curvature value correspond to the bottom and top membrane patches of the central part of the cisterna. Since $h\ll {r}_{flat}$, the area of these bottom and top membrane surfaces are, to a first approximation, equal, and therefore we can write
where ${\kappa}_{mid}$ and ${\overline{\kappa}}_{mid}$ represent, respectively, the bending rigidity and the modulus of Gaussian curvature at the central part of the cisterna; and ${J}_{s,mid}$ is the spontaneous curvature in the central part of the cisterna. Based on Equation (12), we can write $1/{\kappa}_{mid}={\text{\Phi}}_{mid}/{\kappa}_{lo}+\left(1{\text{\Phi}}_{mid}\right)/{\kappa}_{ld}$ and ${\overline{\kappa}}_{mid}={\alpha}_{\overline{\kappa}}{\kappa}_{mid}$. Using these expressions together with Equations (4), and (8), we can rewrite the bending free energy of the middle region Equation (15) as
Rim region
Request a detailed protocolIn toroidal coordinates $\left\{\phi ,\theta \right\}$ (see Figure 1—figure supplement 1), the total and Gaussian curvatures at the rim surface are given, respectively, by
Similarly, the total bending free energy in the rim area is given by
where ${\kappa}_{rim}$ and ${\overline{\kappa}}_{rim}$ are the bending rigidity and the modulus of Gaussian curvature at the cisternae rim area, respectively; and ${J}_{s,rim}$ is the spontaneous curvature at the rim. This morphology is similar to the one corresponding for fusion pores (Chizmadzhev et al., 1995; Kozlov et al., 1989). Using Equation (12), we can write $1/{\kappa}_{rim}={\mathrm{\Phi}}_{rim}/{\kappa}_{lo}+\left(1{\mathrm{\Phi}}_{rim}\right)/{\kappa}_{ld}$ and $\overline{\kappa}}_{rim}={\alpha}_{\overline{\kappa}}{\kappa}_{rim$. The limits of integration in Equation (19) when the area element is expressed in toroidal coordinates (Equation (1)) are the same as those in Equation (2). This last integral cannot be analytically solved, so we will compute it numerically. In the Appendix, an analytical approximation is obtained under certain simplifying assumptions.
Strategy of computations
Request a detailed protocolTo obtain the local stable shapes of Golgi cisternae as a function of the spontaneous curvature and of the total area fraction of nanodomains, our strategy is to compute the membrane free energy Equation (13) as a function of the gap aperture, ${r}_{gap}$, and the nanodomain area fraction at the cisternae rim, $\mathrm{\Phi}}_{rim$. Then, for all values of the gap aperture, $r}_{rim}\text{}\text{}{r}_{gap}\le {r}_{flat$, we found the optimal distribution of nanodomains at the cisternae rim, ${\mathrm{\Phi}}_{rim}^{\ast}\left({r}_{gap}\right)$, by minimization of the free energy with respect to this parameter,
Equation (20) represents the partitioningoptimized free energy as a function of the gap aperture length (that is, as a function of the cisterna morphology). Depending on the parameter values, the free energy of the cisterna Equation (20) has one or two local minima, which correspond to curled or flat cisternae morphologies. Moreover, to compute the energy barriers, we used that ${F}_{max}={\mathrm{m}\mathrm{a}\mathrm{x}}_{{r}_{gap}\in \left[{r}_{curl},{r}_{flat}\right]}\left[F\left({r}_{gap},{\mathrm{\Phi}}_{rim}^{\ast}\left({r}_{gap}\right)\right)\right]$, ${F}_{curl}=F\left({r}_{curl},{\mathrm{\Phi}}_{rim}^{\ast}\left({r}_{curl}\right)\right)$, and ${F}_{flat}=F\left({r}_{flat},{\mathrm{\Phi}}_{rim}^{\ast}\left({r}_{flat}\right)\right)$.
Free energy including DAG redistribution along the membrane
Request a detailed protocolThe free energy of a Golgi cisterna, including the bending energy term taking into account a different distribution of DAG molecules between the top, bottom and rim regions of both the luminal and cytosolic monolayers (see Figure 5A), as well as the associated entropic free energy penalty of a nonhomogeneous distribution of DAG molecules reads as,
where ${J}_{s,i}$ are the spontaneous curvatures of the top, bottom, and rim bilayers (index i), ${a}_{DAG}\approx 0.6n{m}^{2}$ is the area per DAG molecule (Shemesh et al., 2003), and ${\varphi}_{DAG,j}^{i}$ is the DAG area fraction in the cytosolic or luminal monolayers (index j) of the top, bottom, and rim bilayers (index i). Considering that the total amount of DAG is symmetrically distributed between the luminal and cytosolic monolayers of the Golgi membrane, these quantities are related to the total membrane DAG area fraction, ${\varphi}_{DAG}$, as
Appendix 1
In this Appendix, we derive and discuss analytical approximations of the Golgi morphology model, and we compare them to the numerical results presented in the text.
Approximate analytic expression for the total bending energy of a cisterna
Our first aim is to obtain an analytically treatable, approximate expression for the total bending energy of a cisterna. For this purpose, we start by deriving a simplified expression of the total surface area of the cisterna rim, Equation (2). Assuming that ${r}_{gap}\gg h$, we get
This approximation is most accurate for the case of a flat configuration, where ${r}_{gap}={r}_{flat}$. Using Equation (A1) together with Equation (3), we can obtain a simplified version of Equation (5), which describes the relationship between the radius of Golgi curling, $R$, and the length of the cisterna opening,${r}_{gap}$,
Next, we derive approximate expressions for the bending energy of the central and rim regions of a Golgi cisterna, respectively. We consider that the role of the Gaussian curvature is minor, hence we take $\overline{\kappa}=0$. First, by plugging Equation (A2) and Equation (3) in Equation (15), we get
The following step is to generate an approximate expression for the nonanalytical bending energy of the rim region, Equation (19). We assume again a vanishing modulus of the Gaussian curvature, $\overline{\kappa}=0$. For slightly curled cisternae, we could assume that ${r}_{gap}\gg {r}_{rim}$, which would lead to an expression for the total curvature of the rim. Equation (17), ${J}_{rim}=1/{r}_{rim}$. However, this expression does not hold for highly curled cisternae, where ${r}_{gap}~{r}_{rim}$ (see Figure 1—figure supplement 1). In such situation, we can approximate the expression for the total curvature of the rim as
where ${r}_{gap}}^{\prime}={r}_{gap}{r}_{rim$. Since this expression introduces only a relatively small error of the order of ${r}_{rim}/{r}_{flat}\ll 1$ for almost flat cisternae, we decided to use Equation (A4) as a relatively good approximation for the whole range of values of ${r}_{gap}$. Hence, using Equations (A1), (A4), we can write down an analytical approximation of Equation (19) as
which, for relatively flat cisternae, ${r}_{gap}\gg {r}_{rim}$, can be further simplified as
where we defined
as an effective line tension of the rim, in analogy to the formal description of the lipid bilayer edge energy arising during the formation of small vesicles upon sonication (Helfrich, 1974) and of budding membrane domains (Lipowsky, 1992). Finally, the total bending energy of the cisterna is the sum of the contributions from the central and rim regions, ${F}_{bend}={F}_{bend}^{mid}+{F}_{bend}^{rim}$.
Analytical expression for the cisterna shape transitions
The free energy of nanodomain partitioning, ${F}_{part}$, has a logarithmic dependence on the nanodomain area fractions, $\mathrm{\Phi}}_{mid$ and $\mathrm{\Phi}}_{rim$, thus posing a challenge for an analytic treatment (see Equation 9). Nevertheless, the degree of nanodomain redistribution only appears in the expression for the total bending energy of a cisterna through the bending rigidities, ${\kappa}_{rim}$ and ${\kappa}_{mid}$, given by Equation (12). Hence, to get an analytical approximation of the numericallycomputed shape diagram boundaries (see Figure 2A), we consider the two extreme situations of nanodomain partitioning, for which we will compute the total bending energy: The first situation corresponds to no nanodomain partitioning, that is to homogeneous distribution of nanodomains along the entire cisterna. From a physical point of view, this situation corresponds to when the total free energy of the cisterna is dominated by the entropic contribution of nanodomain partitioning. The second case corresponds to the complete partitioning of the nanodomains to the central part of the cisterna. From a physical point of view, this corresponds to the bending energy dominating the total free energy of the cisterna. We later discuss about the relative importance of the entropic part of the total free energy of a cisterna as compared to the bending energy.
In both cases, the total free energy of a cisterna reads as
where ${F}_{bend}^{mid}$ and ${F}_{bend}^{rim}$ are given by Equations (A3) and (A5), respectively. If we further assume that the spontaneous curvature of the central region of the cisterna is zero, we can write Equation (A8) as
Let us first estimate the critical values of the rim spontaneous curvature that are associated with a loss of stability of flat cisternae, ${J}_{s,rim}{}^{*}$. Mathematically, this corresponds to the situation where the free energy Equation (A9) has a local maximum at ${r}_{gap}={r}_{flat}$,
the solution of which leads to the expression for the spontaneous curvature of the rim,
where we assumed that ${r}_{flat}\gg {r}_{rim}$. Interestingly, from this expression we can compute the critical effective line tension, Equation (A7), as ${\lambda}^{*}=\lambda \left({J}_{s,rim}{}^{*}\right)=8{\kappa}_{eff}/{r}_{flat},$ where ${\kappa}_{eff}=2{\kappa}_{mid}$ is an effective total bending rigidity of the central part of the cisterna, given that it is made of two parallel bilayers. This rough estimation matches with previously calculated analytical values for critical line tensions required to form spherical vesicles by sonication (Helfrich, 1974) or budded membrane domains (Lipowsky, 1992).
We next estimate the critical value of the rim spontaneous curvature associated with a loss of stability of a highly curled cisterna, ${J}_{s,rim}}^{\ast \ast$. Basically, this condition corresponds to a situation where the total free energy Equation (A9) ceases to have a local minimum for a highly curled cisterna configuration. The local extremes of the free energy function are given by the solutions of the equation $\frac{\partial F}{\partial {r}_{gap}}=0,$ which can be approximated as
which is a cubic equation in ${r}_{gap}$, with coefficients $a=16\text{}\frac{{\kappa}_{mid}}{{\kappa}_{rim}}\frac{1}{{{r}_{flat}}^{2}}$, $b=\frac{\pi \alpha}{{r}_{rim}}{\left(1{r}_{rim}{J}_{s,rim}\right)}^{2}$, $c=0$, and $d=\left(\pi \alpha \right){r}_{rim}$. Loss of a local minimum for a highly curled configuration, mathematically, corresponds to Equation (A12) having only one real solution (and two complex conjugate solutions) instead of three real solutions. The transition in the number of real solution of a cubic equation corresponds to when the discriminant of the cubic equation, $\mathrm{\Delta}=4{b}^{3}d27{a}^{2}{d}^{2}$, is equal to zero (see, for instance, [Abramowitz and Stegun, 1964]). This condition, after some algebra, leads to
We can now estimate the values of the transition spontaneous curvatures, Equations (A11) and (A13), which correspond to the aforementioned extreme situations of complete partitioning and homogeneous distribution of nanodomains.
Homogeneous nanodomain distribution: This situation corresponds to the condition ${\text{\Phi}}_{rim}={\text{\Phi}}_{mid}=\text{\Phi}$, and therefore ${\kappa}_{rim}={\kappa}_{mid}=\kappa $. Under these circumstances, it is straightforward to see that the transition zones do not depend on the area fraction covered by nanodomains, $\mathrm{\Phi}$, or on the value of the bending rigidity of the membrane, $\kappa $, which is the only energy scale of the system. Hence, Equations (A11) and (A13) can be, respectively, expressed as
and
Complete nanodomain partitioning: As explained above, this situation corresponds to the condition ${\mathrm{\Phi}}_{rim}=0$, and $\mathrm{\Phi}}_{mid}\simeq \mathrm{\Phi$. According to Equation (12), the bending rigidities at the rim and central part of the cisterna are expressed as ${\kappa}_{rim}={\kappa}_{ld}$ and ${\kappa}_{mid}={\kappa}_{ld}/\left(1\mathrm{\Phi}\left(1{\kappa}_{ld}/{\kappa}_{lo}\right)\right)$. Now, we can rewrite Equations (A11) and (A13) as
and
In Appendix 1—figure 1, we plot these analytical approximations of the transition zones of the shape diagram, Equations (A14–A17), and compare them to the numerical computations shown in Figure 2A. These results show that our analytical approximation is good enough to qualitatively estimate the shape diagram of flattocurled cisterna transitions, as well as the shape bistability. However, these results differ quantitatively from the numerical solutions by about 20% (see Appendix 1—figure 1).
Analytical description of the relative contribution of the entropic partitioning free energy to the total free energy of the system
Our numerical results showed that the contribution of the nanodomain area fraction to the Golgi cisterna shape diagram is relatively minor (Figure 2A). Moreover, increasing the size of the nanodomains increased the sensitivity of the shape transitions to the amount of nanodomains (Figure 4). To gain some more insight into the role of the nanodomain area fraction on the Golgi cisterna shape transition, we aimed at understanding the relative contribution to the overall cisterna free energy of the entropic free energy of nanodomain partitioning and the bending energy. For the sake of simplicity, we focus on the flat cisterna configuration, corresponding to ${r}_{gap}={r}_{flat}$. In this case, and assuming that ${r}_{rim}\ll {r}_{flat}$, we can express the bending energy of the cisterna, Equation (A9), as
where, according to Equation (12),
where $\text{\xi}=(\text{\Phi}{\text{\Phi}}_{rim})/\text{\Phi}$ is the nanodomain partitioning coefficient, which ranges between $\xi =0$ for a nonpartitioned homogeneous nanodomain distribution to $\xi =1$ for fully partitioning of nanodomains away from the cisterna rim. Noteworthy, the bending energy Equation (A18) is a monotonically decreasing function for $0\text{}\text{}\xi \text{}\text{}1$, as long as $\kappa}_{lo}\text{}\text{}{\kappa}_{ld$. Also assuming that ${r}_{rim}\ll {r}_{flat}$, we can express the partitioning free energy, Equation (9), as
where ${\text{\Phi}}_{rim}=\text{\Phi}(1\text{\xi})$. In this case, the partitioning free energy, Equation (A20) is a monitonically increasing function for $0\text{}\text{}\xi \text{}\text{}1$, as long as $\mathrm{\Phi}\text{}\text{}1/2$. Given this opposite monotonicity between the bending energy, Equation (A18) and the partitioning free energy, Equation (A20), the relative contribution of these two energies will dictate whether the partitioning entropy is the dominant part of the free energy, and therefore the nanodomains will tend to be homogeneously distributed along the cisterna; or the bending energy dominates and an extensive partitioning is to be expected. To have a rough analytical estimation of this relative contribution, we look for the condition where the growth slopes of the two energies cancel each other out when there is no nanodomain partitioning, that is
which, after some algebra, leads to the expression of a critical nanodomain size, ${R}_{d}}^{\ast$,
below which entropy dominates and low nanodomain partitioning is expected; and above which bending energy dominates and nanodomains are mostly distributed away from the cisterna rim to minimize the overall free energy. In Appendix 1—figure 2, we plot the value of the critical nanodomain size as a function of the spontaneous curvature of the rim and/or the area fraction covered by nanodomains. These results indicate that, indeed, the free energy penalty of nanodomain redistribution dominates over the bending energy for small values of the nanadomain size, and therefore large partitioning away from the rim is entropically prevented.
Analytical estimation of the role of the distribution of membrane curvature generators in the cisterna shape diagram
In Figure 2—figure supplement 1, we numerically showed that the presence of curvature generators on the central part of the Golgi cisterna does not qualitatively change the shape diagram but shifts the flattocurled transitions to lower values of the spontaneous curvature. To better understand this change and have a rough analytical estimation of the extent of the shift, we proceeded to compare the total bending energy (assuming that there are no rigid nanodomains) of a flat cisterna to a simplified situation of a completely curled cisterna without a rim (that is, corresponding to two concentric spheres, separated by a distance $2h$ and with a mean radius $R$). In the flat configuration, the surface area of the rim is ${A}_{rim}^{flat}=4\pi (\pi \alpha ){r}_{rim}{r}_{flat}$, while the surface area of the central part is ${A}_{mid}^{flat}=2\pi {r}_{flat}{}^{2}$, and the total surface area of the cisterna is $A={A}_{rim}^{flat}+{A}_{mid}^{flat}$. In the completely curled configuration, there is no rim, so the total surface area is $A={A}_{mid}^{curled}=8\pi {R}^{2}$. Surface area conservation leads to $R=\frac{1}{2}{r}_{flat}\sqrt{1+2(\pi \alpha ){r}_{rim}/{r}_{flat}}$. The bending energies for the rim and central parts of the flat cisterna are, respectively,
The bending energy of the completed curled cisterna made of two concentric spheres with approximately opposite total curvature $\pm 1/R$ is
The condition where the two shapes have the same total bending energy can be mathematically expressed as ${F}_{rim}^{flat}+{F}_{mid}^{flat}={F}_{mid}^{curled}$, characterized by a rim spontaneous curvature${J}_{s,rim}^{\left(0\right)}$. Plugging all these expressions together, we obtain the following expression,
When the spontaneous curvature of the central part is zero, ${J}_{s,mid}=0$, we obtain
Alternatively, when the spontaneous curvature generators are all over the cisterna membrane, ${J}_{s,mid}={J}_{s,rim}$, we obtain
We can then compute the relative change in the critical spontaneous curvature as
For the typical parameters we used in our computations (e.g. in Figure 2—figure supplement 1), we obtain ${J}_{s,rim}^{\left(0\right)}({J}_{s,mid}=0)=0.0191n{m}^{1}$, ${J}_{s,rim}^{\left(0\right)}({J}_{s,mid}={J}_{s,rim})=0.0136n{m}^{1}$, and therefore $\delta {J}_{s,rim}^{\left(0\right)}=0.29$, which compare remarkably well with the numerically calculated shift in the shape transition (Figure 2—figure supplement 1).
Analytical considerations of the effect of multiple stacked cisternae on the shape diagram
We now consider the effect of multiple stacked cisternae on the flattocurled and curledtoflat cisterna shape transitions. Let us consider a system composed of $N$ cisternae, which are connected along the stack by certain stacking factors. Derganc et al. presented a mechanical model of the Golgi stack, comparing the bending energy of each cisterna with the adhesion energy keeping them together, aiming to understand the physical mechanisms setting the number of cisternae in a flat stack (Derganc et al., 2006). Since in the course of our experiments we did not observe major unstacking of the Golgi cisternae, we assume that the adhesion energy keeping the cisternae stacked together is much stronger than the rest of energies (namely, the bending energy), implying that all cisternae curl equally. Moreover, since the lateral size of a cisterna is much larger than the thickness of the stack, we take the approximation that all cisternae acquire the same curvature upon curling. For the sake of simplicity, we disregard the effects of nanodomain partitioning along the membrane (that is, we assume there is no nanodomain partitioning ${\text{\Phi}}_{rim}={\text{\Phi}}_{mid}=\text{\Phi}$). In addition, we need to ascribe the distribution of the spontaneous curvature along the different cisternae of the stack. Let us consider a situation where the stack is composed of $t$ translike cisternae with a characteristic rim spontaneous curvature, ${J}_{s,rim}}^{trans$, and $Nt$ cis/mediallike cisternae, characterized by a different rim spontaneous curvature, ${J}_{s,rim}}^{cis$. The total free energy of the stack is given by the sum of the free energies of each cisterna,
where ${F}_{trans}$ and ${F}_{cis}$ are given by Equation (A9), using $J}_{s,rim}={{J}_{s,rim}}^{trans$ and $J}_{s,rim}={{J}_{s,rim}}^{cis$, respectively, and ${\kappa}_{rim}={\kappa}_{mid}=\kappa $. Similarly as we did for a single cisterna, we can obtain analytical expressions for the regions of loss of stability of both flat and curled stacks, given by
and
respectively. It is easy to see that Equations (A31) and (A32) correspond to Equations (A11) and (A13), respectively, in the limit $t=N$, that is, when all cisternae are translike. In Appendix 1—figure 3 we plotted these transition curves for a stack composed of 3 cislike cisternae and 1 translike cisterna, and compared them to the single translike cisterna situation. These results indicate that curling of the whole stack requires changes in the spontaneous curvatures of all the cisternae. Moreover, we can see that when the two spontaneous curvatures change in the same manner, the shape transitions are independent on the number of cisternae and correspond to the values obtained for a single cisterna (see Appendix 1—figure 3).
References

Handbook of Mathematical Functions: With Formulas, Graphs, and Mathematical TablesHandbook of Mathematical Functions: With Formulas, Graphs, and Mathematical Tables.

Fission of a multiphase membrane tubePhysical Review Letters 93:158104.https://doi.org/10.1103/PhysRevLett.93.158104

Phase transitions between vesicles and micelles driven by competing curvaturesEurophysics Letters 25:231–236.https://doi.org/10.1209/02955075/25/3/013

Mechanisms of membrane curvature sensingAnnual Review of Biochemistry 80:101–123.https://doi.org/10.1146/annurevbiochem052809155121

Membrane nanodomains: contribution of curvature and interaction with proteins and cytoskeletonEssays in Biochemistry 57:109–119.https://doi.org/10.1042/bse0570109

Golgi membrane dynamics and lipid metabolismCurrent Biology 22:R414–R424.https://doi.org/10.1016/j.cub.2012.03.004

The formation of TGNtoplasmamembrane transport carriersAnnual Review of Cell and Developmental Biology 22:439–455.https://doi.org/10.1146/annurev.cellbio.21.012704.133126

CtBP3/BARS drives membrane fission in dynaminindependent transport pathwaysNature Cell Biology 7:570–580.https://doi.org/10.1038/ncb1260

Helfrich model of membrane bending: from Gibbs theory of liquid interfaces to membranes as thick anisotropic elastic layersAdvances in Colloid and Interface Science 208:25–33.https://doi.org/10.1016/j.cis.2014.01.018

Membrane fission: the biogenesis of transport carriersAnnual Review of Biochemistry 81:407–427.https://doi.org/10.1146/annurevbiochem051710094912

The hydrophobic insertion mechanism of membrane curvature generation by proteinsBiophysical Journal 95:2325–2339.https://doi.org/10.1529/biophysj.108.133173

Diacylglycerol, when simplicity becomes complexTrends in Biochemical Sciences 32:27–36.https://doi.org/10.1016/j.tibs.2006.11.004

Membrane mechanics can account for fusion pore dilation in stagesBiophysical Journal 69:2489–2500.https://doi.org/10.1016/S00063495(95)801190

Recent developments in the field of bending rigidity measurements on membranesAdvances in Colloid and Interface Science 208:225–234.https://doi.org/10.1016/j.cis.2014.03.003

Journeys through the golgitaking stock in a new eraThe Journal of Cell Biology 187:449–453.https://doi.org/10.1083/jcb.200909011

Diacylglycerol is required for the formation of COPI vesicles in the GolgitoER transport pathwayMolecular Biology of the Cell 18:3250–3263.https://doi.org/10.1091/mbc.E07040334

Regulation of secretory transport by protein kinase Dmediated phosphorylation of the ceramide transfer proteinThe Journal of Cell Biology 178:15–22.https://doi.org/10.1083/jcb.200612017

Sphingomyelinenriched microdomains at the golgi complexMolecular Biology of the Cell 12:1819–1833.https://doi.org/10.1091/mbc.12.6.1819

Models for Golgi traffic: a critical assessmentCold Spring Harbor Perspectives in Biology 3:a005215.https://doi.org/10.1101/cshperspect.a005215

Membrane traffic within the golgi apparatusAnnual Review of Cell and Developmental Biology 25:113–132.https://doi.org/10.1146/annurev.cellbio.24.110707.175421

The dynamic nature of the golgi complexThe Journal of Cell Biology 108:277–297.https://doi.org/10.1083/jcb.108.2.277

Protein sorting at the transGolgi networkAnnual Review of Cell and Developmental Biology 30:169–206.https://doi.org/10.1146/annurevcellbio100913013012

Reactionrate theory: fifty years after KramersReviews of Modern Physics 62:251–341.https://doi.org/10.1103/RevModPhys.62.251

Elastic properties of lipid bilayers: theory and possible experimentsZeitschrift Für Naturforschung C 28:693–703.https://doi.org/10.1515/znc1973111209

The size of bilayer vesicles generated by sonicationPhysics Letters A 50:115–116.https://doi.org/10.1016/03759601(74)908998

Identification of a family of animal sphingomyelin synthasesThe EMBO Journal 23:33–44.https://doi.org/10.1038/sj.emboj.7600034

Cellsignalling dynamics in time and spaceNature Reviews Molecular Cell Biology 7:165–176.https://doi.org/10.1038/nrm1838

Three ways to make a vesicleNature Reviews Molecular Cell Biology 1:187–198.https://doi.org/10.1038/35043117

Segregation of sphingolipids and sterols during formation of secretory vesicles at the transGolgi networkThe Journal of Cell Biology 185:601–612.https://doi.org/10.1083/jcb.200901145

Architecture of the mammalian golgiCold Spring Harbor Perspectives in Biology 3:a005181–19.https://doi.org/10.1101/cshperspect.a005181

Mechanisms shaping cell membranesCurrent Opinion in Cell Biology 29:53–60.https://doi.org/10.1016/j.ceb.2014.03.006

Stalk mechanism of vesicle fusionEuropean Biophysics Journal 17:121–129.https://doi.org/10.1007/BF00254765

Budding of membranes induced by intramembrane domainsJournal De Physique II 2:1825–1840.https://doi.org/10.1051/jp2:1992238

PKD regulates membrane fission to generate TGN to cell surface transport carriersCold Spring Harbor Perspectives in Biology 3:a005280–005289.https://doi.org/10.1101/cshperspect.a005280

Lateral organization of membranes and cell shapesBiophysical Journal 36:1–19.https://doi.org/10.1016/S00063495(81)847133

Regulation of oxysterolbinding protein golgi localization through protein kinase Dmediated phosphorylationMolecular Biology of the Cell 21:2327–2337.https://doi.org/10.1091/mbc.E10020090

COPI budding within the Golgi stackCold Spring Harbor Perspectives in Biology 3:a005231.https://doi.org/10.1101/cshperspect.a005231

The dynamics of engineered resident proteins in the mammalian golgi complex relies on cisternal maturationThe Journal of Cell Biology 201:1027–1036.https://doi.org/10.1083/jcb.201211147

The future of golgi researchMolecular Biology of the Cell 21:3776–3780.https://doi.org/10.1091/mbc.E10050418

Configurations of fluid membranes and vesiclesAdvances in Physics 46:13–137.https://doi.org/10.1080/00018739700101488

(Re)modeling the GolgiMethods in Cell Biology 118:299–310.https://doi.org/10.1016/B9780124171640.000185

Mechanisms shaping the membranes of cellular organellesAnnual Review of Cell and Developmental Biology 25:329–354.https://doi.org/10.1146/annurev.cellbio.042308.113324

Golgi glycosylationCold Spring Harbor Perspectives in Biology 3:a005199.https://doi.org/10.1101/cshperspect.a005199

The Golgiassociated protein GRASP65 regulates spindle dynamics and is essential for cell divisionMolecular Biology of the Cell 16:3211–3222.https://doi.org/10.1091/mbc.E04121065

Sphingomyelin homeostasis is required to form functional enzymatic domains at the transGolgi networkThe Journal of Cell Biology 206:609–618.https://doi.org/10.1083/jcb.201405009

Golgi membraneassociated degradation pathway in yeast and mammalsThe EMBO Journal 35:1991–2007.https://doi.org/10.15252/embj.201593191

How proteins produce cellular membrane curvatureNature Reviews Molecular Cell Biology 7:9–19.https://doi.org/10.1038/nrm1784
Decision letter

Patricia BassereauReviewing Editor; Institut Curie, France
In the interests of transparency, eLife includes the editorial decision letter and accompanying author responses. A lightly edited version of the letter sent to the authors after peer review is shown, indicating the most substantive concerns; minor comments are not usually included.
Thank you for submitting your article "Sphingomyelin metabolism controls the shape and function of the Golgi cisternae" for consideration by eLife. Your article has been favorably evaluated by Jonathan Cooper (Senior Editor) and three reviewers, one of whom is a member of our Board of Reviewing Editors. The following individual involved in review of your submission has agreed to reveal his identity: Pierre Sens (Reviewer #2).
The reviewers have discussed the reviews with one another and the Reviewing Editor has drafted this decision to help you prepare a revised submission.
All three reviewers appreciated very much your effort to compare your theoretical model on Golgi shape and its bistability to experimental data. However, some concerns were raised on hypotheses that underlie your model such as an equilibrium statement or the absence of discussion about the consequence of lipid fluxes. Moreover, the referees found that your experimental data should be reinforced to convincingly support your model. You will see that there is good agreement between the reviewers. Notably they both have difficulty in reconciling the following three points (i) your model ignores the cis/trans asymmetry of the Golgi, (ii) your experimental approach seems to target only the coating of trans side, (iii) however, all cisternae similarly respond to this treatment.
At the risk of burdening you with excessive feedback, we have appended a somewhat truncated version of the reviews, to help you identifying points to be clarified. While this is not the typical eLife style, we think the high quality of the feedback justifies giving it to you in largely unedited form.
Reviewer #1:
1) The main assumption of the model is that "The equilibrium configuration of a cisterna is assumed to correspond to the free energy minimum." The author should explain the extent to which free energy minimisation is meaningful for such nonequilibrium structure as the Golgi apparatus, which is characterised by fluxes of proteins and lipids.
2) The modelling strategy and results, in particular the existence of bistability, are not particularly new for membrane systems. Nevertheless, its application to Golgi cisternae shapes is to my knowledge new. The model and the derivation of the results are well explained. I find it however very unfortunate that the results are mostly presented as numerical results, varying a handful of the many model parameters. It would be much more attractive to have analytical expression for the boundaries of the phase diagram. The full model can obviously not be analytically solved, but the main concepts can be included in a much simpler, and solvable model. The essence of the model is a bendable circular domain with edges. This is essentially the same situation as a membrane domain with a line tension, as is discussed by R. Lipowsky (J. Phys. 1992, 2,1825) and many others. This model also predicts bistability (Figure 3 in Lipowsky's paper) where flat and invaginated domains can coexist. This reference should be cited and discussed.
3) The physical mechanism underlying this paper is not new, but its application to the shape of closed membranes (vesicles, cisternae) is new, to my knowledge. There is however a vast literature on the shape of vesicles, including stomatocyte shape not dissimilar to the curled cisternae, but driven by completely different mechanisms (such as area to volume ratio variation, see for instance U. Seifert Adv Phys. 1997, 46, 1 – Figure 14). This is not discussed at all in this paper, which is rather unfortunate. This paper should make clear that it proposes one possible scenario to explain the observations, but that other scenarii exists.
4) Furthermore, previous work describing energetic description of Golgi cisternae, including phase separation of membrane components (Derganc et al. Traffic 2006; 7: 8596, Derganc Phys. Biol. 4 (2007) 317324), should definitely be cited and the present results compared to the existing one when applicable, in particular concerning the curvaturecoupled lateral segregation.
5) The theory part of the Materials and methods section gives a full geometrical description of the cisterna morphology, yielding rather cumbersome expressions (for ex. Equation.5). While these expressions are probably useful, approximate expressions allowing to derive the transition boundaries in Figure 2A and others would be more useful. A large part of the paper is devoted to explaining the effect of varying some parameters while keeping other fixed. This a rather arbitrary numerical exercise. For instance, the phase diagram of Figure 2A shows the effect of the spontaneous curvature (1/nm), while this parameter only appears in the energy coupled to one or several length scales (certainly the rim radius, and possibly the size of the flat region). Working out analytical expression with some simplifying assumptions would provide much more insights. Using the approach of a circular domain with line tension (dependent on the bending rigidity and the geometry of the rim), and neglecting the entropy of the nanodomains, it is quite easy to find analytical expression for the loss of stability of the flat cisterna. This shows that if the bending rigidity of the rim and the flat part are the same, this parameter drops out and the threshold spontaneous curvature times the rim radius has a simple expression in terms of the ratio of rim radius to cisternae radius. Such analysis should be performed and compared to the numerical results.
6) Such a simplified analytical model would allow to tease apart the different contributions of the overall free energy. It is reported (subsection “Prediction of flat and curled cisterna configurations”, sixth paragraph) that the fraction of rigid domains has little impact on the transition. This observation can mean two things: either the additional bending rigidity associated to the nanodomains is irrelevant, or it is compensated by the entropy cost of partitioning. In the absence of partitioning, one can easily understand that the bending rigidity plays no role in the transition, since it is the only energy scale in the problem, as discussed above. The effect of partitioning should be assessed by comparing entropic and elastic terms analytically (even if that means using approximate expressions).
7) There is a number of simplifying assumptions in the model that do not appear justified and might well influence the results.
7A) The most serious is, to my mind the fact that the radius of the rim is not optimised, but imposed arbitrarily. I can accept the fact that the luminal space h can be fixed by spacer proteins, the rim radius is probably fixed by some minimisation of elastic energy, and should highly depend upon the rim spontaneous curvature. Do the authors have argument to validate their assumption of rim radius independent of the rim spontaneous curvature? I would be looking for theoretical arguments, not experimental argument based on ultrastructural data. Since an energetic description is likely to suggest that the rim radius should depend on its spontaneous curvature, if it is observed experimentally that it doesn't, this would mean that some energetic contributions are not included in the current energy, thus casting doubt on the consistency of the theory with the data.
7B) We are dealing here with a model of a mixed membrane containing at least three different types of molecule: some "neutral" lipids, rigid nanodomains, and curvature generators. It is assumed that such mixed, three component membrane can still be described by one bending rigidity one gaussian rigidity, and one spontaneous curvature. The expression of the composite bending rigidity (Equation 12) corresponds to heterogeneous curvature distribution (i.e., the stiffer regions are less curved than the softer ones, for a given mean curvature). It is thus very likely that the total curvature energy of this mixed membrane with curvature generators will be very different from the one proposed here if the curvature generators bind preferentially to one of the two components. Apparently, SM regulates both membrane stiffness and the binding of curvature generators, so spontaneous curvature and bending rigidity are probably spatially correlated. The authors should discuss this point.
8) Related to 7B): The Abstract claims to investigate the dual effect of SM, which is to affect the rigidity of membranes by forming stiff domains, and to regulates the association of curvaturegenerating proteins. It is not clear to me what whether SM promotes or inhibit the recruitment of curvature generators. Is this known/implemented in the model?
In the model, the former is associated to a fraction Φ_{budding} and the latter to a fraction Φ, but no connection is made between these two fractions. If SM mediate both effects, should Φ_{budding} and Φ be connected?
Why is the partitioning of the nanodomain partition between the rim and the midsection subjected to a thermodynamic treatment (enthalpy vs. entropy), but not the curvature agents? This seems a rather arbitrary choice.
9) When the entire cisterna including the mid part, has spontaneous curvature, one observes "only a general shift of the shape transitions between the flat and curled cisterna configurations towards the lower values of the membrane spontaneous curvature". It is not clear to me why this shift occurs, since if both sides of the cisterna have the same spontaneous curvature, its contribution to the global energy can only depend on the area difference between the convex and concave sides of the cisterna (which have curvatures of opposite sign). I would then expect the contribution of the spontaneous curvature of the mid part to the energy difference between flat and curled to be or order Κ J_{s} h~ Κ/2. This seems quite small compared to the overall energy scale, and does not explain the rather large shift observe Figure 1—figure supplement 2. Could the author provide an estimate for the effect of the spontaneous curvature of the flat part.
10) Related to this, the shape parametrisation is clear for flat cisternae, but a little less clear for curled one (Figure 1C). My understanding is that since the total are is conserved, and the area of the rim decreases upon curling, the area of the mid part must increase for curled cisternae. This increase is distributed in some way between the concave and convex sides of the cisterna. I would not expect these details to matter much, but since there is an effect of the spontaneous curvature of the mid part, that I can only understand based on the area difference between the convex and concave regions, the details might matter. Judging from Figure 1C, both mid regions are defined by the same opening angle, and are hence characterised by a relative area difference Δ S/S ~ h/R. There is no real reason for this to be the case, and there is more leeway here for energy minimisation depending of the spontaneous curvature. Could the authors comment on this? If the conclusion is that these details do matter, it speaks against the general validity of the proposed energetic description.
11) The effect above is discussed: "the results are highly insensitive to the amount of curvature generators present in the central part of the Golgi cisternae, basically due to the opposite curvature of the two parallel membranes composing this region." However, Figure 2—figure supplement 1 shows a shift of about 50% of the transition boundaries. Since this paper is a practical application of wellknown concepts, rather than the description of new concepts, I guess numerical values are important and the author should provide an estimate of this shift using simple analytical models.
12) The analysis of drug treatment and recovery is the light of the bistability discussed in this paper is quite interesting. I however do not fully understand the implication of the loss, and the recovery, of TGN46 and p230 colocalisation. These proteins appear to be TGN proteins, while this paper discusses the morphology of Golgi cisternae. Furthermore, I thought that clathrin was also mostly localised at the TGN and was responsible for transport between the TGN and the endosomes/plasma membrane. Is the curling of the Golgi cisternae accompanied with structural changes of the TGN? Should we understand the Golgi and the TGN as a single structure? The concentric stacked onionlike structure presumably involves curling of all Golgi cisternae. Where is the TGN located? In the convex or concave region of the curled stack?
13) Along the same lines: the curling phenomenon is a spontaneous symmetry breaking, which predict an equal likelihood to curl one way or the other. Is curling equally likely in both direction (i.e. toward or away from the TGN) in experiments? If there is a net tendency to curl one way, that means that symmetry is broken from the start by something. This could be because the line tension effect mostly impact the TGN, which then drive the entire Golgi to curl, but in this case, the energy function should include the other Golgi cisternae. It could also be that symmetry is broken by anterograde or retrograde fluxes, in which case the entire model is problematic. More discussion on this is mandatory.
14) In the mind of the authors, is the lateral segregation discussed upon DcerC6 treatment related to a lateral partitioning such as the one quantified in Figure 3C? In any case, the observation that colocalisation is back to untreated level after 16h in a 30' treatment (Figure 6E), while about half the Golgi stacks still show a curled shape (Figure 6D) seems to suggest that partitioning and curling are not directly related, unlike the author claim.
15) The level of clathrin in the Golgi reaches its lowest level after about 30'. This suggest that the loss of the curvature generators saturates after that exposure time (Figure 6B). However, the recovery of colocalisation is much faster (12h) after 30' treatment than after 4h treatment (12h vs. 24h). This suggest that the recovery time depends on the treatment duration, while the bistability picture would suggest that it only depends on the energy barrier, which is related to the clathrin level, and should thus saturate after 30'. Can the author comment on this, which in my mind argues against the bistability picture?
Reviewer #2:
Theoretical part
1) The authors write: 'The equilibrium configuration of a cisterna is assumed to correspond to the free energy minimum'. Given the emphasis put in local energy minima later in the text, this statement is a little bit confusing.
2) The authors write: 'the results, presented in Figure 2—figure supplement 2, show that both the energy barrier required to flatten a curled cisterna, Δ𝐹𝑐𝑢𝑟𝑙−𝑓𝑙𝑎𝑡, and the energy barrier required to curl a flat cisterna, Δ𝐹𝑓𝑙𝑎𝑡−𝑐𝑢𝑟𝑙, decrease with the amount of rigid nanodomains on the Golgi membranes. It seems to me that what is shown here is rather an increase.
3) In a previous study, the authors proposed an alternative mechanism for the flat to curled shift: “We suggest that these changes are a consequence of the effect of d‐ceramide‐C6 on membrane fission versus membrane fusion at the Golgi membranes. In the presence of d‐ceramide‐C6, transport carriers fuse with the Golgi membranes, however, membrane export is blocked. This increases the surface area‐to‐volume ratio of the Golgi cisternae. This is similar to morphological changes in model membranes as a result of an increase in the surface area‐to‐volume ratio.” Why is this hypothesis no longer considered here?
4) A few theoretical papers on the discoïdal shape of membranes or Golgi stacks exist, notably by Derganc, Lipowski, and Svetana. Please comment, compare…
5) In terms of curvature, is the curled shape so highly curved as stated in the Abstract? (…affecting SM homeostasis converted flat cisternae into highly curved membranes). Looking at the EM, the curvature of the cup shape cisternae seems rather modest.
For the experimental part I have the following concerns:
6) The lipid composition and the nature of protein coats associated with the cis and trans faces of the Golgi apparatus are very different. Therefore, why does the Golgi apparatus react globally by changing its shape between flat and curved geometries? Do conditions exist where the trans and cis faces react differently? If PI4P loss is the main effect promoted by short chain ceramide treatment and mostly affects clathrin adaptors recruitment, one would expect that the trans Golgi would be more affected than the cis Golgi.
7) If the loss of coats is indeed at roots of the effect observed here, what does happen when BFA or other inhibitors of GEFs are added such as to prevent not only clathrin but also COPI from assembling at the rims? Along the same line: what does happen when a PI4P kinase inhibitor is added (e.g. PIK93)?
8) The use of the segregation between p230 and TGN46 as an index of the curled geometry seems quite indirect. What is the relationship between this segregation and the cisternae morphology?
9) Does the treatment of cells with ceramide alter the membrane bending rigidity of the Golgi or just promote the release of clathrin? In this respect, I found the Abstract and title quite misleading. The authors put a lot of emphasis there into nanodomain formation and lipid biosynthesis. Therefore, it is tempting for the reader to think that a main factor at play here would be domain formation. Instead, the authors show that the surface density of lipid domains and their size have only minor effects on the cisternae <> curled transition and that the most important factor is the coat coverage. Therefore, the tone of the Abstract should be changed. There is no indication that lipid domains play a role here.
https://doi.org/10.7554/eLife.24603.019Author response
Reviewer #1:
1) The main assumption of the model is that "The equilibrium configuration of a cisterna is assumed to correspond to the free energy minimum." The author should explain the extent to which free energy minimisation is meaningful for such nonequilibrium structure as the Golgi apparatus, which is characterised by fluxes of proteins and lipids.
We agree that the Golgi apparatus is a highly dynamic organelle, which is continuously subject to inward and outward membrane fluxes (e.g. by means of fusion/fission of transport carriers). Remarkably, despite the extensive exchange of membranes, the characteristic stackedcisternae morphology of the Golgi complex is maintained during interphase.
The major assumption of our model is that the time scale of mechanical equilibration of the cisterna shape is much shorter than that of the changes of the membrane lipid and protein composition through the fluxes. Therefore, the cisternae shape is assumed to be mechanically equilibrated for every instant composition. Since the composition is in a steady state, the shape is in mechanical equilibrium corresponding to this steady state composition. Nonequilibrium shapes should be considered only if the composition would change faster than the shape relaxed to the new equilibrium state.
We estimated, on one hand, the mechanical relaxation time as a combination of the characteristic viscosity, bending rigidity, and length scale of the cisterna, ${\tau}_{mech}=\eta {R}^{3}/\kappa ~1ms$ (see Allain et al. Phy. Rev. Lett. 2014). On the other hand, the rates of the composition changes based on the fluxes through the Golgi cisternae have been theoretically inferred from experimental data to be of the order of $k~0.20.3mi{n}^{1}$ (Dmitrieff et al. PNAS, 2014). Hence, a characteristic compositional relaxation time by means of membrane fluxes would be ${\tau}_{flux}~100s$. Since ${\tau}_{mech}\ll {\tau}_{flux}$, our assumption is therefore justified. However, it should be mentioned that the rate of bulk ER export has been estimated to be around thousand carriers per second (Wieland et al. Cell, 1987), and therefore fusion of incoming carriers to the Golgi complex could potentially be associated with a similar time scale as that of mechanical relaxation of the Golgi morphology (discussed in Sens and Rao, Methods in Cell Biol., 2013). Nevertheless, our treatment with shortchain ceramide causes the inhibition of protein export from the Golgi membranes to other intracellular destinations (Duran et al. EMBO J, 2012). Inhibition of GolgitoER recycling would eventually lead to sloweddown ER export, thus decreasing the flow of membranes arriving at the Golgi with a concomitant increase in the characteristic compositional relaxation time.
In the revised version of our manuscript we now discuss this assumption in more detail (subsection “Prediction of flat and curled cisterna configurations”).
2) The modelling strategy and results, in particular the existence of bistability, are not particularly new for membrane systems. Nevertheless, its application to Golgi cisternae shapes is to my knowledge new. The model and the derivation of the results are well explained. I find it however very unfortunate that the results are mostly presented as numerical results, varying a handful of the many model parameters. It would be much more attractive to have analytical expression for the boundaries of the phase diagram. The full model can obviously not be analytically solved, but the main concepts can be included in a much simpler, and solvable model. The essence of the model is a bendable circular domain with edges. This is essentially the same situation as a membrane domain with a line tension, as is discussed by R. Lipowsky (J. Phys. 1992, 2,1825) and many others. This model also predicts bistability (Figure 3 in Lipowsky's paper) where flat and invaginated domains can coexist. This reference should be cited and discussed.
We appreciate the suggestion of the reviewer to include analytical approximations of the numerical results of our model. We included in the revised version of our manuscript an Appendix with analytical approximations of the model, which allowed us to estimate the flattocurled and curledtoflat transition curves.
We fully agree that the nature of our model (in terms of bending energy) can be summarized as a tugofwar between the bending energy of the central part of the cisterna and the bending energy of the rim, the latter being effectively interpreted as an edge energy. Lipowsky applied this idea to study the budding of membrane domains associated with a line tension at their interface with the surrounding membrane, and his model predicted regions of shape bistability between flat or slowly curved membranes and buds (Lipowsky, J. Phys, 1992). In our model, the "line energy" (corresponding to the bending energy of the cisterna rim) can be characterized by a line tension, which is not constant but depends on the shape of the cisterna (see e.g. Equation (A7) in the Appendix), thus preventing full closure of a highly curled cisterna due to the large negative curvature (and therefore large bending energy penalty) of the Golgi rim for very small values of ${r}_{gap}$. This and other related papers and the relationship between them and our model have been now properly discussed in the text (subsection “Prediction of flat and curled cisterna configuration”, fourth paragraph; Appendix subsection “Approximate analytic expression for the total bending energy of a cistern”).
3) The physical mechanism underlying this paper is not new, but its application to the shape of closed membranes (vesicles, cisternae) is new, to my knowledge. There is however a vast literature on the shape of vesicles, including stomatocyte shape not dissimilar to the curled cisternae, but driven by completely different mechanisms (such as area to volume ratio variation, see for instance U. Seifert Adv Phys. 1997, 46, 1 – Figure 14). This is not discussed at all in this paper, which is rather unfortunate. This paper should make clear that it proposes one possible scenario to explain the observations, but that other scenarii exists.
We apologize for not discussing properly the papers mentioned by the reviewer in our manuscript. In the revised version, they are extensively discussed in relation to our findings (subsection “Qualitative description of the proposed mechanisms of SMregulated Golgi morphology”, first paragraph).
Actually, as reviewer #3 mentions, we previously thought that a reduction in the volumetosurface ratio of the Golgi cisternae could mechanistically explain our observations (Duran et al. EMBO J, 2012). However, our observations indicate no obvious change in the volumetosurface ratio during the flattocurled Golgi cisternae transition (van Galen et al. EMBO J, 2014 and this study) and compelled us to reevaluate our previous hypothesis. Moreover, typical Golgi cisternae have a very low volumetosurface ratio. We can estimate the dimensionless reduced volume (as defined in Seifert's review) for standard geometric characteristics of a Golgi cisterna to be in the order of $v\approx 0.002$, whereas typically the transition from oblate shapes (akin to our flat Golgi cisterna) to stomatocyte shapes (akin to our curled Golgi cisterna) occurs at much larger volumetoarea ratios, $v\approx 0.6$. We have therefore argued that the characteristic flat shape of a Golgi cisterna likely requires rimstabilizing agents.
4) Furthermore, previous work describing energetic description of Golgi cisternae, including phase separation of membrane components (Derganc et al. Traffic 2006; 7: 8596, Derganc Phys. Biol. 4 (2007) 317324), should definitely be cited and the present results compared to the existing one when applicable, in particular concerning the curvaturecoupled lateral segregation.
We thank the reviewer for bringing our attention to these papers. In our revised manuscript we cite, discuss and compare these papers in relation to our results (subsection “Evaluation of the effect of diacylglycerol on the cisterna shape transition”, last paragraph; subsection “(ii) Physical description of the free energy of a Golgi cisterna”, second paragraph; Appendix subsection “Analytical considerations of the effect of multiple stacked cisternae on the shape diagram”, first paragraph).
In brief, in Derganc et al. Traffic 2006, the authors presented a model to understand the physical mechanisms setting the number of cisternae per Golgi stack, where they compared the cisternae bending energy with the adhesion energy keeping the stack together. In Derganc, Phys. Biol (2007), the author presented a model to analyse whether membrane curvature can promote lateral partitioning of membrane constituents. The author showed that, for a flat cisterna configuration, partitioning of curved lipids is, in general, relatively small (of the order of 10%), in agreement with our computations on curvaturebased DAG repartitioning. Moreover, the author also showed that stiff membrane constituents hardly partition away to the flat region of the cisterna, which is in line with our results. In these studies, the authors did not considered changes in the overall shape of a cisterna, which is one of the new contributions of our model.
5) The theory part of the Materials and methods section gives a full geometrical description of the cisterna morphology, yielding rather cumbersome expressions (for ex. Equation 5). While these expressions are probably useful, approximate expressions allowing to derive the transition boundaries in Figure 2A and others would be more useful. A large part of the paper is devoted to explaining the effect of varying some parameters while keeping other fixed. This a rather arbitrary numerical exercise. For instance, the phase diagram of Figure 2A shows the effect of the spontaneous curvature (1/nm), while this parameter only appears in the energy coupled to one or several length scales (certainly the rim radius, and possibly the size of the flat region). Working out analytical expression with some simplifying assumptions would provide much more insights. Using the approach of a circular domain with line tension (dependent on the bending rigidity and the geometry of the rim), and neglecting the entropy of the nanodomains, it is quite easy to find analytical expression for the loss of stability of the flat cisterna. This shows that if the bending rigidity of the rim and the flat part are the same, this parameter drops out and the threshold spontaneous curvature times the rim radius has a simple expression in terms of the ratio of rim radius to cisternae radius. Such analysis should be performed and compared to the numerical results.
We thank the reviewer for this suggestion. We now include a new Appendix in our revised manuscript with an analytical approximation for our numerical results. In particular, we now present an analytical approximation describing the cisterna shape transitions, which we compare with our numerical results (see – Figure 1). It is noteworthy that, under the simplifications discussed in the Appendix, our analytical approximation describes qualitatively well the shape transition, with a relative error of about 20%, as compared to the numerical results presented in the main text (e.g. Figure 2A).
6) Such a simplified analytical model would allow to tease apart the different contributions of the overall free energy. It is reported (subsection “Prediction of flat and curled cisterna configurations”, sixth paragraph) that the fraction of rigid domains has little impact on the transition. This observation can mean two things: either the additional bending rigidity associated to the nanodomains is irrelevant, or it is compensated by the entropy cost of partitioning. In the absence of partitioning, one can easily understand that the bending rigidity plays no role in the transition, since it is the only energy scale in the problem, as discussed above. The effect of partitioning should be assessed by comparing entropic and elastic terms analytically (even if that means using approximate expressions).
Following the reviewer suggestions, we have made some assumptions to reach a relatively simple, approximate analytical expression for the relative contribution of the entropic and bending energies to the total free energy of the system. This analysis, as explained in the Appendix, shows that it is possible to define a critical nanodomain size, ${R}_{d}{}^{*}$, below which entropy dominates (and very low partitioning is expected), and above which the bending energy dominates (and relatively large partitioning of the rigid nanodomains away from the Golgi rims is expected). As shown in Equation (A22) of the revised version of the manuscript, ${R}_{d}{}^{*}$ scales linearly with the rim radius. These results show that, for characteristic values of the rim spontaneous curvature and of the area fraction covered by nanodomains, the critical nanodomain size exceeds well the assumed value of 5 nm. This indicates that indeed the partitioning energy dominates over the bending energy and therefore a minor redistribution of nanodomains is to be expected, and therefore a relatively minor impact of the amount of rigid nanodomains on the shape transitions (see – Figure 2).
7) There is a number of simplifying assumptions in the model that do not appear justified and might well influence the results.
7A) The most serious is, to my mind the fact that the radius of the rim is not optimised, but imposed arbitrarily. I can accept the fact that the luminal space h can be fixed by spacer proteins, the rim radius is probably fixed by some minimisation of elastic energy, and should highly depend upon the rim spontaneous curvature. Do the authors have argument to validate their assumption of rim radius independent of the rim spontaneous curvature? I would be looking for theoretical arguments, not experimental argument based on ultrastructural data. Since an energetic description is likely to suggest that the rim radius should depend on its spontaneous curvature, if it is observed experimentally that it doesn't, this would mean that some energetic contributions are not included in the current energy, thus casting doubt on the consistency of the theory with the data.
We thank the reviewer for bringing up this point, which was not explained in the text. We agree that if the size of the rim radius would not be somehow constrained, the natural tendency of the system as a response of a decrease in the rim spontaneous curvature would be to increase its radius to match the actual spontaneous curvature. In our model, the radius of the rim crosssection is set by the distance between a protein scaffold forming the flat part of a cisterna and the cisterna edge. For example, if such scaffold would extend beyond the cisterna, e.g. if the cisterna was formed by flattening of a big liposome between two infinite flat rigid plates, the edge crosssectional radius would be simply equal to the cisterna halfthickness, independently of the spontaneous curvature of the rim. The fact that the rim is somewhat swollen as compared to the cisterna thickness reflects the distance to which the scaffold edge approached the cisterna edge. The rim would indeed tend to swell as much as possible within this constraint to match the spontaneous curvature. In this model, the membrane spontaneous curvature could influence the detailed shape of the edge crosssection profile resulting in its deviation from the circular shape. This would be the case for the shapes where ${r}_{rim}$ is comparable to ${r}_{gap}$. Taking into account this effect would result in corrections of the rim energy but on a semiquantitative level of description we neglect these corrections. In our case, based on the ultrastructural data, the maximum radius of the rim allowed by the protein scaffold is ${r}_{rim}=30nm$, so it would stay constant as long as the spontaneous curvature is not larger than $1/{r}_{rim}=0.033n{m}^{1}$, which is the case for the range of spontaneous curvatures we took into account, $0<{J}_{s,rim}<0.033n{m}^{1}$, thus justifying the constant value of the rim radius throughout our calculations.
The molecular identity of such protein scaffold could be the spacer proteins maintaining the luminal thickness and/or stacking factors keeping the subsequent cisternae stacked. Interestingly, it has been experimentally shown that knockdown of the stacking/tethering factors GRASP55/65 or Golgin45/GM130 in HeLa cells leads to the cisternae unstacking, and swelling of the lumen and rims of the Golgi cisternae (Lee et al., 2014).
We explained and justified this model assumption in the revised manuscript (subsection “Prediction of flat and curled cisterna configurations”, second paragraph; subsection “(i) Geometrical description of a Golgi cisterna”).
7B) We are dealing here with a model of a mixed membrane containing at least three different types of molecule: some "neutral" lipids, rigid nanodomains, and curvature generators. It is assumed that such mixed, three component membrane can still be described by one bending rigidity one gaussian rigidity, and one spontaneous curvature. The expression of the composite bending rigidity (Equation 12) corresponds to heterogeneous curvature distribution (i.e., the stiffer regions are less curved than the softer ones, for a given mean curvature). It is thus very likely that the total curvature energy of this mixed membrane with curvature generators will be very different from the one proposed here if the curvature generators bind preferentially to one of the two components. Apparently, SM regulates both membrane stiffness and the binding of curvature generators, so spontaneous curvature and bending rigidity are probably spatially correlated. The authors should discuss this point.
We agree with the reviewer that if curvature generators were to be localized specifically to, say, SMrich rigid nanodomains, the results could significantly differ from those presented in our paper. However, there are experimental arguments to consider that this might not be the case. As we mentioned in the discussion, our collaborator Giovanni d'Angelo (IBPCNR in Naples, Italy), has recently described the metabolic pathway by which PI(4)Pbinding proteins, such as the clathrin adaptor γadaptin, are released from the Golgi membranes upon addition of shortchain ceramide (Capasso et al. bioRxiv, 2016). This release is indirectly induced by sphingomyelin (SM) metabolism, since SMSmediated conversion of ceramide to SM parallels the conversion of phosphatidylcholine to diacylglycerol (DAG). DAG recruits and activates protein kinase D (PKD), which in turn regulates the levels of PI(4)P on the cytosolic monolayer of the Golgi membranes and therefore the recruitment of PI(4)Pbinding proteins, such as the clathrin adaptor AP1. Phosphoinositides are mostly localized away from SMrich rigid nanodomains (see e.g. Arumugan and Bassereau, Essays Biochem, 2015), thus suggesting that this signaling event is spatially uncoupled from SMrich rigid nanodomains. Moreover, SMSmediated synthesis of SM is restricted to the luminal side of the transGolgi membrane (Huitema et al. EMBO J, 2004), whereas recruitment of curvature generators occurs at the cytosolic side of the membrane. How luminal SM connects with the organization of the cytosolic leaflet of the Golgi membrane and the events occurring on that side is, to our knowledge, not well understood. Overall, with all the published data at hand we think it is reasonable to assume that there is no preferential binding of curvature generators to specialized membrane regions.
In the revised version of the manuscript we now stress these points both in the Discussion (subsection “DAG acts as a signaling effector rather than as a molecular shaper to control Golgi membrane morphology”) and when we present the model and describe the localization of membrane curvature generators (subsection “(ii) Physical description of the free energy of a Golgi cisterna”, third paragraph). In addition, we also explicitly mention that the expression of the composite bending rigidity (Equation 12) has the meaning of an average over the rigid and soft patches (V.S. Markin, Biophys. J., 1981).
8) Related to 7B): The Abstract claims to investigate the dual effect of SM, which is to affect the rigidity of membranes by forming stiff domains, and to regulates the association of curvaturegenerating proteins. It is not clear to me what whether SM promotes or inhibit the recruitment of curvature generators. Is this known/implemented in the model?
In the model, the former is associated to a fraction Φ_{budding} and the latter to a fraction Φ, but no connection is made between these two fractions. If SM mediate both effects, should Φ_{budding} and Φ be connected?
This would indeed be the case if SM directly recruited curvature generating proteins to the Golgi membranes, however, as mentioned above (see our answer to point 7B) this is not the case. It is actually SM metabolism (through a signaling cascade triggered by the metabolic conversion of ceramide to SM), which controls the levels of curvature generators at the Golgi membranes. We have modified the Abstract to better explain this point.
Why is the partitioning of the nanodomain partition between the rim and the midsection subjected to a thermodynamic treatment (enthalpy vs. entropy), but not the curvature agents? This seems a rather arbitrary choice.
Although we agree that a thermodynamic treatment could be implemented also for the distribution of curvature generators along the membrane, we have to take into consideration that these are cytosolic proteins, which are recruited to the membrane by specific lipids and/or adaptor proteins. Moreover, additional considerations, such as the wellknown curvaturesensing properties of various curvaturegenerating proteins (see e.g. Antonny, Annu Rev Biochem, 2011), regulate their binding affinities and subsequently affect the lateral partitioning of these proteins between the highly curved rim and the flat central part of the cisterna. Hence, for the sake of simplicity we have considered only the two extreme situations: (i) exclusive localization of curvature generators to the cisterna rim; and (ii) a homogeneous distribution of these proteins along the entire membrane of the cisternae (see Figure 2—figure supplement 1). We explained and justify our choice in the revised version of our manuscript (subsection “(ii) Physical description of the free energy of a Golgi cisterna”, fourth paragraph).
9) When the entire cisterna including the mid part, has spontaneous curvature, one observes "only a general shift of the shape transitions between the flat and curled cisterna configurations towards the lower values of the membrane spontaneous curvature". It is not clear to me why this shift occurs, since if both sides of the cisterna have the same spontaneous curvature, its contribution to the global energy can only depend on the area difference between the convex and concave sides of the cisterna (which have curvatures of opposite sign). I would then expect the contribution of the spontaneous curvature of the mid part to the energy difference between flat and curled to be or order kappa J_{s} h~ kappa/2. This seems quite small compared to the overall energy scale, and does not explain the rather large shift observe Figure 1—figure supplement 2. Could the author provide an estimate for the effect of the spontaneous curvature of the flat part.
See our global answer to points 911 below.
10) Related to this, the shape parametrisation is clear for flat cisternae, but a little less clear for curled one (Figure 1C). My understanding is that since the total are is conserved, and the area of the rim decreases upon curling, the area of the mid part must increase for curled cisternae. This increase is distributed in some way between the concave and convex sides of the cisterna. I would not expect these details to matter much, but since there is an effect of the spontaneous curvature of the mid part, that I can only understand based on the area difference between the convex and concave regions, the details might matter. Judging from Figure 1C, both mid regions are defined by the same opening angle, and are hence characterised by a relative area difference Δ S/S ~ h/R. There is no real reason for this to be the case, and there is more leeway here for energy minimisation depending of the spontaneous curvature. Could the authors comment on this? If the conclusion is that these details do matter, it speaks against the general validity of the proposed energetic description.
See our global answer to points 911 below.
11) The effect above is discussed: "the results are highly insensitive to the amount of curvature generators present in the central part of the Golgi cisternae, basically due to the opposite curvature of the two parallel membranes composing this region." However, Figure 2—figure supplement 1 shows a shift of about 50% of the transition boundaries. Since this paper is a practical application of wellknown concepts, rather than the description of new concepts, I guess numerical values are important and the author should provide an estimate of this shift using simple analytical models.
Comments 9, 10 and 11 are all related and our response to all follows. These comments point to a very fair concern, and we apologize for not explaining it in more detail in our initial version of the manuscript. Indeed, we initially thought that the effect of a nonnegative spontaneous curvature in the central part of the cisterna would have a negligible effect given that the changes in the bending energy of the positively curved membrane would be counterbalanced by the changes in the bending energy of the apposed, negatively curved membrane (up to a correction of the order h/R as the reviewer pointed out). However, as the reviewer also commented, given that the total surface area of the cisterna is constant during the deformation, cisterna curling leads to an increase in the surface area of the central part of the cisterna, concomitant with a decrease in the surface area of the rim. A nonzero spontaneous curvature of the central part of the cisterna therefore increases the total bending energy of this cisterna part, thereby penalizing cisterna curling and eventually shifting the flattocurled cisterna transition towards smaller values of the spontaneous curvature, as shown by our numerical results (Figure 2—figure supplement 1). In the Appendix of our revised manuscript, we present an analytical estimation of the extent of this shift, under certain approximations. Using the same parameters we used to generate Figure 2—figure supplement 1, we estimated that the spontaneous curvature of the shape boundary decreases by about 30% when the curvature generators are not forced to be solely localized at the cisterna rim, which is in good agreement with our numerical results (see Appendix). Moreover, in the revised version of the text, we clarify these findings both in the Results (subsection “Prediction of flat and curled cisterna configurations”, seventh paragraph) and model sections (subsection “(ii) Physical description of the free energy of a Golgi cisterna”, fourth paragraph).
12) The analysis of drug treatment and recovery is the light of the bistability discussed in this paper is quite interesting. I however do not fully understand the implication of the loss, and the recovery, of TGN46 and p230 colocalisation. These proteins appear to be TGN proteins, while this paper discusses the morphology of Golgi cisternae. Furthermore, I thought that clathrin was also mostly localised at the TGN and was responsible for transport between the TGN and the endosomes/plasma membrane. Is the curling of the Golgi cisternae accompanied with structural changes of the TGN? Should we understand the Golgi and the TGN as a single structure? The concentric stacked onionlike structure presumably involves curling of all Golgi cisternae. Where is the TGN located? In the convex or concave region of the curled stack?
We showed in Figure 6C that curling of the TGN (as monitored by an antip230 antibody) parallels curling of the cismedial Golgi (observed using the MannIIGFP marker protein).
In the revised version, we have enlarged and improved the contrast of the immunoelectron microscopy images in Figure 6C. The TGN is located in the concave region of the curled stack.
We previously showed that shortchain ceramide treatment had several concomitant effects in the organization and shape of the membranes of the Golgi complex and the TGN (van Galen et al. JCB, 2014). We observed by immunoelectron microscopy that the localization of the late Golgi enzyme (transGolgi cisternae and TGN) sialyltransferase (ST) tagged with GFP localized to the inner, concave part of the stacked onionlike structure (see e.g. Figure 2 in that reference). The second effect we observed was that such a morphological change (from flat to curled stacked cisternae) paralleled the lateral segregation of different Golgi markers, such as the cis/medialGolgi markers Mannosidase II and GRASP65, or the transGolgi membrane/TGN markers ST, p230 and TGN46, as monitored by fluorescence microscopy (see Figure 1 in that reference). In summary, our data indicated that the curling of the Golgi cisternae occurs somewhat concomitant with the segregation of different Golgi/TGN markers. However, as we explain in more detail in response to comment 14, the exact relation between protein segregation and morphology changes still remains unresolved. We have now expanded this point in the main text (subsection “Experimental evidence for hysteresis of Golgi cisternae morphology during recovery from shortchain ceramide treatment”, fourth paragraph) to facilitate understanding of our experimental approach.
In addition, we would like to emphasize that we do not claim that the entire Golgi complex/TGN morphological transition is due solely to the loss of clathrin, which, as the reviewer pointed out, mainly localizes to the TGN to form export carriers. Whether there are other curvatureinducing proteins involved in this process is still unknown, as we already mentioned in the Discussion in our original version. We now addressed this part in more detail to clarify our message (subsection “Membrane curvature generators dynamically stabilize the flat shape of Golgi cisternae”, first paragraph).
13) Along the same lines: the curling phenomenon is a spontaneous symmetry breaking, which predict an equal likelihood to curl one way or the other. Is curling equally likely in both direction (i.e. toward or away from the TGN) in experiments? If there is a net tendency to curl one way, that means that symmetry is broken from the start by something. This could be because the line tension effect mostly impact the TGN, which then drive the entire Golgi to curl, but in this case, the energy function should include the other Golgi cisternae. It could also be that symmetry is broken by anterograde or retrograde fluxes, in which case the entire model is problematic. More discussion on this is mandatory.
Our electron microscopy analysis shows that curling occurs towards the TGN as we explained in point 12 above. Interestingly, a previous study (MartinezAlonso et al., Traffic, 2005) showed that a morphologically similar curling of the Golgi/TGN stack occurs when HeLa cells are incubated at 15ºC, and that this shape transition is accompanied by the release of COPI proteins from the cisGolgi cisternae. In that case, the curling direction was the opposite, towards the cisside of the stack. The reasons for this symmetry breaking can be manifold, as the reviewer already indicated, but given our experimental evidence we favor a situation where this is driven by an initial release of rim stabilizers from the transside of the stack.
Given our experimental observations, and following the suggestion of the reviewer, we have now expanded our analysis to account for the various cisternae of the Golgi complex. Specifically, we propose a system composed of N cisternae, each of them characterized by a free energy of bending and partitioning. The different cisternae are connected along the stack by certain stacking factors, which we assume (based on our experimental observations) are strong enough to impose that all cisternae curl equally. For the sake of this argument, we disregard the effects of nanodomain partitioning (that is, we assume there is no nanodomain partitioning $\mathrm{\Phi}}_{rim}={\mathrm{\Phi}}_{mid}=\mathrm{\Phi$). In addition, we need to ascribe the distribution of the spontaneous curvature along the different cisternae of the stack, and how this distribution changes as a result of the shortchain ceramide treatment. Unfortunately, we have no direct experimental data on this, and despite the fact that we observed the release of clathrin from the transGolgi membranes upon shortchain ceramide treatment, we do not currently know whether other curvature generators/stabilizers are being released from the early Golgi membranes or not. Taking into account this limitation, we considered two situations in our analysis. First, we assume that the spontaneous curvature of the rim is equal for all Golgi cisternae, and that shortchain ceramide treatment leads to a similar reduction in the spontaneous curvature of all the cisternae. Possibly, the dynamics of the release of the different bending effectors is slightly different, being faster for the TGN membranes thus initiating the curling process and setting the curling direction, which is later followed by the rest of the cisternae. Under these assumptions, the free energy of the whole stack is simply the free energy of a single cisterna multiplied by the number of cisternae, and the whole analysis is independent of the number of cisternae, thus justifying our analysis considering a single isolated cisterna. The second situation that we consider corresponds to a model consisting of $t$translike cisternae with a characteristic rim spontaneous curvature, ${J}_{s,rim}{}^{trans}$, and $Nt$ cis/mediallike cisternae, characterized by a different rim spontaneous curvature, ${J}_{s,rim}{}^{cis}$. Using an approximate analytical model, we then calculate the shape transition boundaries as a function of the two spontaneous curvatures. These results, as expected, show that when the two curvatures are equal, the shape transitions are independent on the number of cisternae and correspond to the values obtained for a single cisterna (see Appendix, and – Figure 3).
We now include a more comprehensive explanation on how we propose that the direction of curling is initiated (subsection “Shortchain ceramide treatment causes the release of clathrin coats from the Golgi membranes prior to cisterna curling”, last paragraph and subsection “Membrane curvature generators dynamically stabilize the flat shape of Golgi cisternae”, first paragraph) as well as the analysis of the multiple cisternae scenario in the Appendix of the revised manuscript.
14) In the mind of the authors, is the lateral segregation discussed upon DcerC6 treatment related to a lateral partitioning such as the one quantified in Figure 3C? In any case, the observation that colocalisation is back to untreated level after 16h in a 30' treatment (Figure 6E), while about half the Golgi stacks still show a curled shape (Figure 6D) seems to suggest that partitioning and curling are not directly related, unlike the author claim.
The mechanisms that leads to protein segregation upon shortchain ceramide treatment still remain unknown. We previously showed that such segregation (e.g. between the Golgi enzyme sialyltransferase and its substrate TGN46) has functional consequences, such as defects in secretory cargo glycosylation (van Galen et al. JCB 2014). We hypothesized that changes in the physicochemical properties of the membranes induced by the treatment (such as changes in the bilayer thickness) could induce the segregation of such proteins, but our preliminary unpublished data suggests this is not the case. Alternatively, decreased nanodomain levels and increasing partitioning could be a factor driving this segregation, as we proposed in our discussion. However, to be fair, this still remains an open question, which we intend to address in the future.
In relation to the second part of the reviewer comment, we fully agree that the correlation between lateral segregation of Golgi markers and cisternae morphology is not 100%. We think that this occurs because during DcerC6 washout three different processes occur simultaneously albeit with different dynamics (see Figure 7): (i) recovery of normal clathrin levels at the Golgi membranes (which, according to Figure 6B, takes about 2h for a 30' ceramide treatment); (ii) recovery of the amounts of nanodomains (which, by assuming a direct correlation with the recovery of the Golgi marker localization, takes about 12 hours, according to Figure 6E); and (iii) recovery of the flat Golgi morphology (which is a stochastic process that requires crossing an energy barrier as we discuss in the main text, and which takes at least 16 h, according to Figure 6D). To clarify these points, we now explain this hypothesis in detail in the revised manuscript (subsection “Experimental evidence for hysteresis of Golgi cisternae morphology during recovery from shortchain ceramide treatment” and Discussion, third paragraph).
15) The level of clathrin in the Golgi reaches its lowest level after about 30'. This suggest that the loss of the curvature generators saturates after that exposure time (Figure 6B). However, the recovery of colocalisation is much faster (12h) after 30' treatment than after 4h treatment (12h vs. 24h). This suggest that the recovery time depends on the treatment duration, while the bistability picture would suggest that it only depends on the energy barrier, which is related to the clathrin level, and should thus saturate after 30'. Can the author comment on this, which in my mind argues against the bistability picture?
We understand the concerns of the reviewer regarding this apparent contradiction. Indeed, as the reviewer correctly stated before, the level of Golgi protein segregation does not perfectly correlate with the curling of the Golgi cisternae. In the case of protein colocalization, the recovery, as we proposed, would depend on the recovery of the levels and distribution of SMrich nanodomains, which we expect would indeed depend on the duration of the shortchain ceramide treatment.
In respect to Golgi morphology, as the reviewer comments, our results indicate that it mainly depends on the levels of curvature generating proteins at the membrane, and therefore, once the system has returned to the initial levels of clathrin on the membrane after shortchain ceramide washout, the recovery time for Golgi flattening should not depend on how long the treatment was. However, the total time required for the recovery of the flat morphology during the washout is the sum of the time it takes to overcome the energy barrier plus the time it takes to recover the initial clathrin levels at the Golgi membranes. To a first approximation, the former time, is indeed independent of the duration of the ceramide treatment. However, the latter time could depend on the signaling events leading to the recovery of PI(4)P and hence clathrin levels. To test this, we treated cells for 4h with DcerC6 treatment, and monitored the recruitment of clathrin to the Golgi membranes during the washout. We observed that this recovery time is longer (about 6h) than for a 30' treatment, therefore predicting an extra time to recover Golgi morphology in this situation (new Figure 6—figure supplement 1).
In addition, one also has to take into account that the characteristic time for stochastic transition, according to Arrhenius kinetics, grows as ${e}^{\text{\Delta}F/{k}_{B}T}$. Thus, using the estimated parameters, a change in the recovery time from 12 h to 24 h only corresponds to a 4% increase in the energy barrier (from 17.6 to 18.3 k_{B}T). Such a subtle difference can be ascribed to different factors that might depend or change during the prolonged treatment with shortchain ceramide, such as small changes in the cisterna area.
We included a new supplementary figure and discussion on this in the revised manuscript (subsection “Experimental evidence for hysteresis of Golgi cisternae morphology during recovery from shortchain ceramide treatment”, second paragraph; Discussion, third paragraph and subsection “Membrane curvature generators dynamically stabilize the flat shape of Golgi cisternae”, second paragraph).
Reviewer #2:
Theoretical part
1) The authors write: 'The equilibrium configuration of a cisterna is assumed to correspond to the free energy minimum'. Given the emphasis put in local energy minima later in the text, this statement is a little bit confusing.
We changed this sentence in the revised version of the manuscript, also following the suggestion from reviewer 2 (see our response to comment 1), to be more precise in our wording.
2) The authors write: 'the results, presented in Figure 2—figure supplement 2, show that both the energy barrier required to flatten a curled cisterna, Δ𝐹𝑐𝑢𝑟𝑙−𝑓𝑙𝑎𝑡, and the energy barrier required to curl a flat cisterna, Δ𝐹𝑓𝑙𝑎𝑡−𝑐𝑢𝑟𝑙, decrease with the amount of rigid nanodomains on the Golgi membranes. It seems to me that what is shown here is rather an increase.
We apologize for the confusion. Indeed, we mean that the energy barriers decrease when the amount of nanodomains also decreases. We have changed the wording to clarify better the text.
3) In a previous study, the authors proposed an alternative mechanism for the flat to curled shift: “We suggest that these changes are a consequence of the effect of d‐ceramide‐C6 on membrane fission versus membrane fusion at the Golgi membranes. In the presence of d‐ceramide‐C6, transport carriers fuse with the Golgi membranes, however, membrane export is blocked. This increases the surface area‐to‐volume ratio of the Golgi cisternae. This is similar to morphological changes in model membranes as a result of an increase in the surface area‐to‐volume ratio.” Why is this hypothesis no longer considered here?
We indeed previously thought that an increase in the surfacetovolume ratio of the Golgi cisternae could mechanistically explain our observations (Duran et al. EMBO J, 2012). However, our later observations indicated no obvious change in the volumetosurface ratio during the flattocurled Golgi cisternae transition (van Galen et al. EMBO J, 2014 and this study), which led us to propose new hypotheses to describe cisterna curling. Moreover, typical Golgi cisternae have a very low volumetosurface ratio, which according to previous theoretical models cannot explain flat cisterna shapes, but likely requires rimstabilizing agents (see also our response to comment 3 from reviewer 2). We discuss this point now in detail in the text (subsection “Qualitative description of the proposed mechanisms of SMregulated Golgi morphology”, first paragraph and subsection “Shortchain ceramide treatment causes the release of clathrin coats from the Golgi membranes prior to cisterna curling”, last paragraph).
4) A few theoretical papers on the discoïdal shape of membranes or Golgi stacks exist, notably by Derganc, Lipowski, and Svetana. Please comment, compare.
We thank the reviewer for bringing these papers to our attention. This comment has been brought up also by reviewer 2 (see also our responses 2 and 4 to his comments). We now discuss them in the revised manuscript. Moreover, we now included an Appendix with an analytical approximation of our model, which allowed us to compare our model with the previous work the reviewer mentions.
5) In terms of curvature, is the curled shape so highly curved as stated in the Abstract? (…affecting SM homeostasis converted flat cisternae into highly curved membranes). Looking at the EM, the curvature of the cup shape cisternae seems rather modest.
We meant that the cuplike shape of the cisternae was highly "curled" or highly curved relative to the initial flat configuration. Indeed, this curvature is still relatively small as compared to other high curvatures in cells (Golgi rims, transport vesicles, etc.). Hence, we changed "highly curved" for "highly curled" in the revised Abstract.
For the experimental part I have the following concerns:
6) The lipid composition and the nature of protein coats associated with the cis and trans faces of the Golgi apparatus are very different. Therefore, why does the Golgi apparatus react globally by changing its shape between flat and curved geometries? Do conditions exist where the trans and cis faces react differently? If PI4P loss is the main effect promoted by short chain ceramide treatment and mostly affects clathrin adaptors recruitment, one would expect that the trans Golgi would be more affected than the cis Golgi.
We thank the reviewer for this comment, which has been also raised by reviewer 2 (see also our response to his comments 12 and 13), and it was not sufficiently clear in our original submission.
We would like to emphasize that we do not claim that the entire Golgi complex/TGN morphological transition is due solely to the loss of clathrin from the TGN membranes. Indeed we now present in the Appendix new calculations on a multiple cisternae model, which indicate that stack curling indeed requires the loss of curvature effectors from multiple, if not all, cisternae (see – Figure 3). Whether there are other curvatureinducing proteins involved in this process is still unknown, as we mentioned in the Discussion of our original version. We now discussed this in more detail in the revised manuscript (subsection “Membrane curvature generators dynamically stabilize the flat shape of Golgi cisternae”, first paragraph).
7) If the loss of coats is indeed at roots of the effect observed here, what does happen when BFA or other inhibitors of GEFs are added such as to prevent not only clathrin but also COPI from assembling at the rims? Along the same line: what does happen when a PI4P kinase inhibitor is added (e.g. PIK93)?
Inhibition of COPI vesicle formation by adding BFA induces, within minutes, the tubulation of the Golgi membranes and their subsequent fusion to the ER, therefore preventing any slower dynamic processes such as Golgi curling. Importantly, we previously showed that shortchain ceramidetreated cells were basically insensitive to BFA in terms of aforementioned relocalization of Golgi membranes to the ER (Duran et al. EMBO J, 2012). However, MartinezMenarguez and colleagues showed that when HeLa cells are incubated at 15ºC to block protein secretion at the level of the ERGIC, components of the COPI coat (e.g. βCOP) are released from the early Golgi membranes (MartinezAlonso, Traffic, 2005). Strikingly, they observed by cryoelectron microscopy that the morphology of the Golgi complex turned into a curled shape analogous to the one we observed upon shortchain ceramide treatment. Moreover, they observed that the curling of the cisternae occurred towards the cis side, oppositely to what we observed, which makes sense in the view that curling starts at the cisterna most affected by the treatment away from the stack, which is then followed by the remaining cisternae (see also our response to comment 13 of reviewer 2).
Regarding the role of PI4kinases in this process, we would like to point to the paper by D'Angelo's group (Capasso et al. BioRxiv, 2016), where the authors actually mapped the signaling cascade of the events leading to clathrin release upon shortchain ceramide treatment. Essentially they showed that by blocking PI4kinases at the Golgi either by chemical inactivation (using PIK93) or by RNAi sensitized the cells against shortchain ceramide treatment, meaning that the levels of PI(4)P and their binding effectors on the Golgi membranes were unaltered. Moreover, it has been recently reported that knockdown of the two Golgilocalized PI(4) kinases in Atg5 knockout cells induces curling of the Golgi cisternae (Yamaguchi et al. EMBO J, 2016).
We have now expanded these points in the revised manuscript (subsection “Shortchain ceramide treatment causes the release of clathrin coats from the Golgi membranes prior to cisterna curling”, last paragraph and subsection “Membrane curvature generators dynamically stabilize the flat shape of Golgi cisternae”, first paragraph).
8) The use of the segregation between p230 and TGN46 as an index of the curled geometry seems quite indirect. What is the relationship between this segregation and the cisternae morphology?
We agree with the reviewer that using the level of colocalization between p230 and TGN46 is quite an indirect readout of Golgi cisternae morphology. To avoid any confusions about this point, we now clearly state that shortchain induced protein segregation at the Golgi complex, although it correlates somehow with the changes in cisternae morphology, is driven by a yet to be identified mechanism.
We stressed this in the revised version (subsection “Experimental evidence for hysteresis of Golgi cisternae morphology during recovery from shortchain ceramide treatment”, fourth paragraph and Discussion, third paragraph). Also, see our response to point 12 of reviewer 2.
9) Does the treatment of cells with ceramide alter the membrane bending rigidity of the Golgi or just promote the release of clathrin? In this respect, I found the Abstract and title quite misleading. The authors put a lot of emphasis there into nanodomain formation and lipid biosynthesis. Therefore, it is tempting for the reader to think that a main factor at play here would be domain formation. Instead, the authors show that the surface density of lipid domains and their size have only minor effects on the cisternae <> curled transition and that the most important factor is the coat coverage. Therefore, the tone of the Abstract should be changed. There is no indication that lipid domains play a role here.
We agree that the role of nanodomains in controlling the shape and shape transitions of the Golgi cisternae is minor. However, the numerical results of our model show that curling of a Golgi cisterna is accompanied by a larger degree of lateral segregation of nanodomains (see Figure 3C). We believe that this prediction has some potentially interesting implications as we mentioned in the Discussion, which will be hopefully experimentally tested in the future. Nevertheless, following the suggestion of the reviewer we have changed the Abstract to somewhat temper the role of nanodomains.
https://doi.org/10.7554/eLife.24603.020Article and author information
Author details
Funding
Ministerio de Economía y Competitividad (Severo Ochoa Programme SEV2015240522)
 Felix Campelo
 María F GarcíaParajo
Fundación Cellex
 Felix Campelo
 María F GarcíaParajo
Human Frontier Science Program (GA RGP0027/2012)
 María F GarcíaParajo
European Commission (FP7NANOVISTA GA 288263)
 María F GarcíaParajo
Institució Catalana de Recerca i Estudis Avançats
 María F GarcíaParajo
 Vivek Malhotra
Israel Science Foundation (758/11)
 Michael M Kozlov
Ministerio de Economía y Competitividad (Plan Nacional FIS201456107R)
 María F GarcíaParajo
Ministerio de Economía y Competitividad (Plan Nacional BFU201344188P)
 Vivek Malhotra
Ministerio de Economía y Competitividad (Consolider CSD200900016)
 Vivek Malhotra
H2020 European Research Council (Advanced Grant 268692)
 Vivek Malhotra
Ministerio de Economía y Competitividad (Severo Ochoa Programme SEV20120208)
 Vivek Malhotra
Ministerio de Economía y Competitividad (BFU201573288JIN AEI/FED)
 Felix Campelo
 María F GarcíaParajo
The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.
Acknowledgements
We thank members of the GarciaParajo lab and Giovanni D'Angelo for valuable discussions. FC and MGP acknowledge support by the Spanish Ministry of Economy and Competitiveness (‘Severo Ochoa’ Programme for Centres of Excellence in R and D (SEV2015–240522) and FIS201456107R), BFU201573288JIN, AEI/FEDER;UE, Fundacion Privada Cellex, HFSP (GA RGP0027/2012), EC FP7NANOVISTA (GA 288263) and LaserLab 4 Europe (GA 654148). MMK is supported by the Israel Science Foundation. VM acknowledges support from the Spanish Ministry of Economy and Competitiveness through the Programme ‘Centro de Excelencia Severo Ochoa 2013–298 2017’ (SEV2012–0208); and support from the CERCA Programme / Generalitat de Catalunya. VM is an Institució Catalana de Recerca i Estudis Avançats (ICREA) professor at the Center for Genomic Regulation and the work in his laboratory is funded by grants from MINECO’s Plan Nacional (BFU201344188P), Consolider (CSD200900016), and European Research Council (268692). The project has received research funding from the European Union. This paper reflects only the author’s views. The Union is not liable for any use that may be made of the information contained therein.
Reviewing Editor
 Patricia Bassereau, Institut Curie, France
Publication history
 Received: December 23, 2016
 Accepted: May 4, 2017
 Accepted Manuscript published: May 13, 2017 (version 1)
 Version of Record published: June 7, 2017 (version 2)
Copyright
© 2017, Campelo et al.
This article is distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use and redistribution provided that the original author and source are credited.
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