A cellular and regulatory map of the cholinergic nervous system of C. elegans
Abstract
Nervous system maps are of critical importance for understanding how nervous systems develop and function. We systematically map here all cholinergic neuron types in the male and hermaphrodite C. elegans nervous system. We find that acetylcholine (ACh) is the most broadly used neurotransmitter and we analyze its usage relative to other neurotransmitters within the context of the entire connectome and within specific network motifs embedded in the connectome. We reveal several dynamic aspects of cholinergic neurotransmitter identity, including a sexually dimorphic glutamatergic to cholinergic neurotransmitter switch in a sex-shared interneuron. An expression pattern analysis of ACh-gated anion channels furthermore suggests that ACh may also operate very broadly as an inhibitory neurotransmitter. As a first application of this comprehensive neurotransmitter map, we identify transcriptional regulatory mechanisms that control cholinergic neurotransmitter identity and cholinergic circuit assembly.
https://doi.org/10.7554/eLife.12432.001eLife digest
To better understand the nervous system—the most complex of all the body’s organs—scientists have begun to painstakingly map its many features. These maps can then be used as a basis for understanding how the nervous system develops and works.
Researchers have mapped the connections – called synapses – between all the nerve cells in the nervous system of a simple worm called Caenorhabditis elegans. Cells communicate by releasing chemicals called neurotransmitters across the synapses, but it is not fully known which types of neurotransmitters are released across each of the synapses in C. elegans.
Now, Pereira et al. have mapped all worm nerve cells that use a neurotransmitter called acetylcholine by fluorescently marking proteins that synthesize and transport the neurotransmitter. This map revealed that 52 of the 118 types of nerve cells in the worm use acetylcholine, making it the most widely used neurotransmitter. This information was then combined with the findings of previous work that investigated which nerve cells release some other types of neurotransmitters. The combined data mean that it is now known which neurotransmitter is used for signaling by over 90% of the nerve cells in C. elegans.
Using the map, Pereira et al. found that some neurons release different neurotransmitters in the different sexes of the worm. Additionally, the experiments revealed a set of proteins that cause the nerve cells to produce acetylcholine. Some of these proteins affect the fates of connected nerve cells. Overall, this information will allow scientists to more precisely manipulate specific cells or groups of cells in the worm nervous system to investigate how the nervous system develops and is regulated.
https://doi.org/10.7554/eLife.12432.002Introduction
Nervous system maps that describe a wide range of distinct structural and molecular parameters are essential for an understanding of nervous system development and function. Tremendous efforts have been and are being made to map connectomes (Bargmann and Marder, 2013; Plaza et al., 2014). Connectomes now exist for small anatomic regions of mouse and fly brains (Helmstaedter et al., 2013; Kasthuri et al., 2015; Takemura et al., 2013), but the only complete, system-wide connectome remains that of the nematode Caenorhabditis elegans, both in its hermaphroditic and male form (Albertson and Thomson, 1976; Jarrell et al., 2012; White et al., 1986). However, these anatomical maps are incomplete without the elucidation of chemical maps that describe the synaptically released neurotransmitters through which anatomically connected neurons communicate with one another. But even in C. elegans, let alone other organisms, there have so far been only limited efforts to precisely map neurotransmitter identities on a system-wide level with single-neuron resolution. In C. elegans, a combination of direct staining methods and expression analysis of neurotransmitter-specific enzymes and transporters have defined the probably complete complement of GABAergic, glutamatergic and aminergic neurotransmitter systems. Specifically, out of the 118 anatomically distinct neuron classes in the hermaphrodite (amounting to a total of 302 neurons), six classes (26 neurons) are GABAergic (McIntire et al., 1993), 38 are glutamatergic (78 neurons) (Serrano-Saiz et al., 2013) and 13 (26 neurons) are aminergic (i.e. serotonergic, dopaminergic, etc.; Chase and Koelle, 2007).
One prominent neurotransmitter system – the cholinergic system – has not been completely mapped. Antibody staining against the vesicular acetylcholine (ACh) transporter, VAChT (encoded by unc-17) and the ACh-synthesizing choline acetyltransferase ChAT (encoded by cha-1) revealed the cholinergic identity of a number of neurons in the nervous system (Alfonso et al., 1993; Duerr et al., 2008). However, due to the synaptic localization of the VAChT and ChAT proteins, expression could only be unambiguously assigned to about one dozen neuron classes, mostly in the ventral nerve cord and a few isolated head and tail neurons (see Table 1 for a summary of previous studies on cholinergic neuron identity). The authors of these previous studies explicitly noted that many additional VAChT/ChAT-expressing neuron classes await identification (Duerr et al., 2008). Ensuing studies using reporter genes that capture cis-regulatory elements of parts of the unc-17/VAChT locus identified the cholinergic identity of a few additional neuron classes (Table 1), but the extent to which ACh is used in the nervous system has remained unclear. In the male nervous system, composed of 23 additional neuron classes, neurotransmitter identities are even less well defined (not just ACh, but other systems as well). Here, we map the usage of ACh in both the hermaphrodite and male nervous systems. We show that ACh is the most broadly used neurotransmitter in the C. elegans nervous system, employed by more than half of all neurons.
The tremendous benefits of a neurotransmitter map include the ability to precisely dissect and understand neuronal circuit function. For example, knowledge of the cholinergic identity of the AIY interneuron (Altun-Gultekin et al., 2001) helped to define the two distinct behavioral outputs of AIY, one controlled via an ACh-mediated activation of the RIB interneuron and another controlled by ACh-mediated inhibition of the AIZ interneuron, via an ACh-gated chloride channel (Li et al., 2014). The cholinergic neurotransmitter map presented here will provide a resource to further functionally dissect circuit function in the C. elegans nervous system.
Since neurotransmitter identity represents a key feature of a neuron, the knowledge of the cholinergic identity provides a resource for studying how a neuron adopts its specific fate during development. For example, the assignment of glutamatergic identity to a host of distinct C. elegans neurons has enabled us to define phylogenetically conserved regulatory features of glutamatergic neuron differentiation (Serrano-Saiz et al., 2013). Moreover, the long-known cholinergic identity of ventral cord motor neurons provided an entry point to study how their terminal differentiation is controlled (Kratsios et al., 2011; 2015). Previous studies describing the mechanism of cholinergic identity regulation have pointed to a modular control system in which neuron-type specific combinations of transcription factors turn on cholinergic pathway genes (Altun-Gultekin et al., 2001; Kratsios et al., 2011; Zhang et al., 2014). Since previous studies only examined a relatively small number of neurons, the problem of cholinergic identity regulation has not yet encompassed a circuit level analysis. Through a genetic screen and a candidate gene approach we reveal common themes in the form of circuit-associated transcription factors that control the identity of all neurons within defined circuits or circuit-associated network motifs. Taken together, we anticipate that neurotransmitter maps like those provided here represent an invaluable resource for the C. elegans community that will serve as a high-resolution starting point for various types of behavioral and developmental analyses.
Results and discussion
Defining cholinergic neurons
Cholinergic neurotransmitter identity is defined by the expression of the enzyme choline acetyltransferase (ChAT; encoded by cha-1 in C. elegans) and the vesicular ACh transporter (VAChT; encoded by unc-17 in C. elegans); see Figure 1A for a description of the cholinergic pathway genes. Co-expression of these two genes is ensured via their organization into an operon-like structure called the cholinergic locus (Figure 1B). This operon-like organization is conserved from invertebrates to vertebrates (Eiden, 1998). Other possible diagnostic features of cholinergic neurons often used in vertebrates are the expression of the enzyme that breaks down ACh, acetylcholinesterase (AChE/ace; four genes in C. elegans; [Arpagaus et al., 1998]) and the reuptake transporter of the breakdown product choline (ChT; encoded by cho-1 in C. elegans [Okuda et al., 2000]). Whether these genes are expressed in all cholinergic neurons and/or restricted to all cholinergic neurons is, however, unclear.
To define cholinergic neuron types, we generated transgenic lines expressing fosmid based reporters for the unc-17 and cha-1 locus, the cho-1 locus and several ace genes (Figure 1B). Fosmids contain 30–40 kb genomic sequences, including genes upstream and downstream of the gene of interest and usually contain all cis-regulatory information involved in regulating expression of a specific gene. Differently colored fluorescent proteins were used to assess the relative overlap of these genes to one another (Figure 1C–E). The fosmid lines that monitor cho-1 and ace-1/-2 expression are nuclear localized reporters, in which the fluorescent tag is separated from the respective genomic locus by an SL2 trans-splicing event and targeted to the nucleus (see Materials and methods). The fosmid line for the unc-17 locus is, in contrast, a direct fusion of gfp to the unc-17 gene, thereby revealing the subcellular localization of unc-17.
Multiple lines for each reporter transgene were analyzed and no differences between lines were found (for example, green and red fluorescent signals from a cho-1fosmid::mCherry transgenic line and an independent cho-1fosmid::yfp transgenic line perfectly overlap; data not shown). Preliminary neuron identifications were done based on cell position and axonal projections. These identifications were then confirmed for each neuron by crossing the unc-17 and/or cho-1 fosmid reporter strains with a differently colored reporter with a known, neuron type-specific expression pattern (Figure 1—figure supplement 1; see also Materials and methods). Furthermore, we validated unc-17 fosmid reporter expression by immunofluorescent staining with an antibody generated against the UNC-17 protein (Duerr et al., 2008). As previously noted, the punctate localization of UNC-17 protein, as detected with the UNC-17 anti-serum, limits the ability to reliably identify cells in the absence of markers (Duerr et al., 2008). However, immunostaining for UNC-17 in combination with the nuclear localization of cho-1 fosmid reporter in an unc-104 mutant background (UNC-104 is required for UNC-17 transport to synapses), allowed us to precisely define the complete set of cells that stain for endogenous UNC-17 protein. We found the overlap of UNC-17 antibody staining with cho-1 fosmid reporter expression to be the same as the overlap of unc-17 fosmid reporter expression with cho-1 fosmid reporter expression (Figure 1F), thereby validating the reliability of fosmid reporter expression patterns.
unc-17/VAChT expression defines cholinergic identity and is present in 52 of the 118 classes of adult hermaphroditic neurons, amounting to 159 out of 302 neurons (Figure 1, Figure 2A; Table 1; Figure 1—figure supplement 2). Compared to all other neurotransmitter systems, this makes ACh the most abundantly employed neurotransmitter system in C. elegans (Glu: 38 classes, GABA: 6 classes, Aminergic: 13 classes, six of which are exclusively aminergic; Figure 2A, Table 2). The abundance of ACh usage is illustrated in an even more striking manner if one considers the C. elegans connectome (White et al., 1986): 85% (100/118) of all neuron classes are innervated by a cholinergic neuron (Table 3). With one exception (the highly unusual CAN neurons, which show very little synaptic connectivity with any other neuron), all neurons that do not receive cholinergic input are either themselves cholinergic neurons or innervate neurons that are cholinergic (Table 3). In other words, all but one neuron class in the C. elegans nervous system are either cholinergic, receive cholinergic input or innervate a cholinergic neuron.
There does not appear to be any change in neurotransmitter identities in the first larval stage versus the adult stage, with the obvious exception of postembryonically generated neurons (mostly motor neurons). Expression of the cholinergic locus (unc-17 and cha-1) commences in the 1.5-fold stage of embryogenesis and by the three-fold stage, expression is seen in all cholinergic neurons (data not shown).
cho-1/ChT expression extensively correlates with expression of unc-17/VAChT, both in terms of onset (by threefold stage; data not shown) and cellular specificity in the mature nervous system. In the hermaphrodite worm, all neurons that express cho-1 also express unc-17/VAChT (even though expression of unc-17 may be very low in at least one class, RIB), while 11 out of the 52 unc-17(+) classes do not express cho-1 (half of these neuron classes are in the pharyngeal nervous system; Figure 1;Table 1; Figure 1—figure supplement 2). In contrast, as a previous analysis of small reporter gene fusions already suggested (Combes et al., 2003), expression of the acetylcholinesterase (AChE)-encoding ace genes does not correlate with unc-17 expression. First, only one third of all cholinergic neuron classes express an ace gene (Table 1); and second, expression is observed in body wall muscle as well as in a few non-cholinergic neurons (Figure 1H). Given that the diffusible ACE proteins are secreted into the synaptic cleft, it may not come as a surprise that their site of synthesis does not necessarily match the site of ACh synthesis and release. The situation is similar in vertebrates; the only vertebrate AChE gene is expressed in cholinergic neurons, but the overlap is not complete and expression can also be observed in non-cholinergic neurons (Gwyn and Flumerfelt, 1971; Levey et al., 1984; Reiss et al., 1996).
A list of all C. elegans neurons with their presently assigned neurotransmitter identity is shown in Table 2. There are no overlaps in usage of the main neurotransmitter systems glutamate, GABA and ACh in the core nervous system of the hermaphrodite, but within the pharynx, one single neuron, the motor neuron M5, strongly expresses both cholinergic pathway genes unc-17 and cho-1 and, albeit very weakly, the glutamatergic marker eat-4/VGLUT (Figure 1—figure supplement 2). We visualized the general lack of overlap with a transgenic line that expresses three different, nuclear localized, fluorescent tags – one marking cholinergic neurons (cho-1fosmid::mChOpti), one marking glutamatergic neurons (eat-4/VGLUTfosmid::yfp) and one marking all neurons (rab-3prom::bfp strain) (Figure 1G;Video 1). There are, however, some overlaps of cholinergic identity with aminergic identity in the core nervous system: the ADF, HSN, RIH and VC4/5 neurons are cholinergic, but also serotonergic (Duerr et al., 2001; Sze et al., 2000); similarly, some glutamatergic neurons are also aminergic (Serrano-Saiz et al., 2013). The case of the postembryonically generated, hermaphrodite-specific VC motor neurons is particularly notable because of the distinct identities of specific VC subtypes. All six VC neurons express unc-17/VAChT and are therefore cholinergic, but VC4 and VC5 are also serotonergic (Duerr et al., 1999). Notably, the expression of serotonergic identity in VC4 and VC5 correlates with a failure to express cho-1/ChT, which is only expressed in VC1,2,3 and VC6 (Figure 1—figure supplement 1, Figure 5C). VC4 and VC5 innervate vulval muscles and some aspects of their identity (namely expression of the unc-4 gene in VC4/5, but not VC1,2,3,6) are controlled by signals from vulval tissues (Zheng et al., 2013). We find that elimination of this vulval signal, or genetic elimination of the target muscle of the VC4/5 neurons (vulval muscle), does not impinge on the absence of cho-1 expression in VC4/5 (data not shown).
Relationship of cholinergic identity to neuron function, neuron position and neuronal lineage
ACh is used by sensory neurons, interneurons and motor neurons. Of the 45 extrapharyngeal cholinergic neuron classes, 9 are sensory neurons, 19 are interneurons and 17 are motor neurons (Figure 2A; Table 2; we only consider extrapharyngeal neurons because most pharyngeal neurons are polymodal, i.e. have sensory, inter- and motor neuron features; Albertson and Thomson, 1976; D.H.H. unpubl. data). Compared to other transmitter systems, motor neurons have a preference for employing ACh (17/24 extrapharyngeal motor neuron classes are cholinergic; Figure 2A; Table 2). In contrast, sensory neurons are predominantly glutamatergic (22/38 use Glu), but there is nevertheless an appreciable number of cholinergic sensory neurons (9/38 extrapharyngeal sensory neuron classes use ACh; Table 2). Intriguingly, most cholinergic sensory neurons have very shallow processing depth, i.e. are closely connected to the motor system (Figure 2B). Two (IL2 and URA) directly synapse onto muscle (i.e. are sensory-motor neurons), another four (ALN, PLN, ADF and URB) synapse directly onto motor neurons, while another two (URX and AWB) synapse onto cholinergic command interneurons that innervate motor neurons. The latter two cases are the only cases in the entire C. elegans nervous system where a multi-neuron pathway from sensory, via inter- to motor neurons is entirely made of exclusively one neurotransmitter system. In comparison, glutamatergic sensory neurons do not display such a narrow processing depth (Figure 2B).
The predominance of ACh as a neurotransmitter does not solely stem from its widespread usage in motor neurons. ACh is also the most broadly used neurotransmitter of interneurons (19 classes; compared to 11 glutamatergic; Figure 2A; Table 1). In comparison to ACh and glutamate (Glu), the neurotransmitter GABA is only very sparsely used by interneurons (presently only 1 class; [McIntire et al., 1993]); this is no reflection of a paucity of inhibitory neurotransmission in C. elegans since both ACh and Glu can act as inhibitory neurotransmitter through the gating of postsynaptic chloride channels (see below).
The most notable set of interneurons to which we assigned a cholinergic neurotransmitter identity are the command interneurons, which are well-characterized central integrators of information flow in the nervous system that directly synapse onto motor neurons (Chalfie et al., 1985; Von Stetina et al., 2006). Their neurotransmitter identity was previously not known and we verified their cholinergic identity through a number of different co-stains (summarized in Figure 1—figure supplement 1; see Materials and methods). Expression of the cho-1 fosmid reporter overlapped with expression of the glutamate receptors glr-1 and nmr-1 in the AVA, AVE, AVD and PVC command interneurons. To confirm the cholinergic identity of the AVB command interneuron, we crossed the cho-1 fosmid reporter with sra-11 and acr-15 reporters. Overlap of cho-1 with these two reporters allowed us to confirm that AVB expresses cholinergic identity genes. All command interneurons showed expression of the unc-17 fosmid reporter.
Apart from assigning cholinergic neurotransmitter identity to different types of neurons (sensory vs. inter vs. motor neurons), we examined whether cholinergic neurotransmitter identity correlates with other intrinsic neuronal features. We find that the adoption of cholinergic neurotransmitter identity does not correlate with position of the neuron within the nervous system, as shown in Figure 2C, with the notable exception of cholinergic motor neurons in the ventral head ganglion and along the ventral nerve cord. There is no correlation between the adoption of cholinergic identity and developmental history of the neurons. We arrived at this conclusion by mapping neurotransmitter identity onto the entire lineage diagram and not detecting any obvious lineage clusters of cells that uniquely employ ACh (or any other neurotransmitter; Figure 2D).
Distribution of cholinergic neurons, as well as other neurotransmitters, in relation to the entire connectome
With the identification of the complete set of cholinergic neurons, and with the consideration of previously identified glutamatergic, GABAergic and monoaminergic neurons, a neurotransmitter identity can now be assigned to ~90% of all neuron classes (102/118) and total neurons (275/302; Table 2). While some of the remaining orphan neurons (e.g. the prominent olfactory neuron AWA) contain small synaptic vesicles that are indicative of the usage of an as yet uncharacterized neurotransmitter system, about half of the remaining 16 'orphan' neuron classes display, according to John White’s EM analysis, a notable paucity or even absence of synaptic vesicles and/or are predominated by dark staining vesicles (e.g. AVF, AVH, AVJ, RIP) (White et al., 1986), suggesting that these neurons either signal mostly via electrical synapses or via neuropeptides.
The assignment of neurotransmitter identity to ~90% of neurons prompted us to take a system-wide view of neurotransmitter usage. We started by examining neurotransmitter usage within a number of specific circuitries described by John White and colleagues, including circuitries associated with amphid sensory neurons, with head motor neurons and with motor neurons in the ventral nerve cord (White et al., 1986). While some circuitries show a mixed usage of different neurotransmitter systems (one example shown in Figure 3A), the circuitry associated with the motor neurons of the ventral nerve cord show the striking feature of being mainly cholinergic (with the exception of the GABAergic DD/VD motor neurons; Figure 3B). That is, not only do most motor neurons ('MNs')(SAB, DA, DB, VA, VB, AS) employ ACh, but all neurons that innervate these neurons (and that are also strongly interconnected among each other) are also cholinergic. This includes the command interneurons AVA, AVB, AVE, AVD, PVC, as well as the DVA interneuron, which is also closely associated with the motor circuit (Figure 3B). Due to the extent of their interconnectedness, this group of six interneuron classes has previously been defined as a 'rich club' of neurons (Towlson et al., 2013). The adoption of cholinergic identity within an entire functional circuit prompts the immediate question whether activity of the circuit plays a role in the expression of cholinergic genes. However, we find that genetic silencing of the C. elegans nervous system, achieved through elimination of the snb-1/synaptobrevin gene, has no impact on the expression of cholinergic identity markers in arrested L1 larvae (data not shown).
Taking a broader view we mapped neurotransmitter identity on a wiring diagram that reflects signal flow through the network as well as connectivity closeness of neurons in the network, as suggested by Varshney and colleagues (Varshney et al., 2011) (Figure 3C). We also examined the parameter of 'processing depth' in isolation, as had been done previously (Varshney et al., 2011). We considered the distance of each neuron from sensory input to motor output, assigned this relative position the parameter 'processing depth' and then the portion of neurons that use each neurotransmitter at each processing depth (Figure 3D). Both types of representations quantify and effectively visualize what the identity of many of the cholinergic neurons already suggested: compared to other neurotransmitter systems (particularly Glu) ACh is enriched, but not exclusively located to lower levels of information processing. Another notable feature of this presentation is that it visualizes the connectivity closeness of distinct clusters of cholinergic motor neurons (shaded in gray in Figure 3C); these neurons are the head sensory-motor neurons, head motor neurons and the above-mentioned ventral nerve cord (VNC) motor neuron circuitry.
We considered neurotransmitter usage within the several types of recurring network motifs, composed of three or four neurons, which have been described to be enriched within the C. elegans connectome, such as feedforward motifs of three neurons (Milo et al., 2002). Our goal was to examine whether the usage of ACh (or any other neurotransmitter system) is biased for certain positions of a neuron within these motifs. Using previously described approaches (Milo et al., 2002) (see Materials and methods), we identified five 3-neuron motifs and fourteen 4-neuron motifs that are significantly enriched in the C. elegans connectome using the latest connectivity dataset (Figure 3E). We found either ACh or Glu to be enriched in specific positions in all but one of these motifs. ACh was enriched at a specific position in 11 out of these 19 motifs. Generally, there is a strong trend of ACh being more frequently used at the downstream end of the signaling flow within specific motifs, while Glu tends to be located at upstream positions within motifs (Figure 3E), which is consistent with the processing depth analysis described above (Figure 3D).
In one 3-neuron motif, previously termed a 'regulated mutual motif' (Milo et al., 2004), each one of the interconnected neurons is enriched for a specific neurotransmitter and we examined this motif more closely for reasons that will become evident in later sections of this paper. The general architecture of this motif is defined by one neuron ('A') innervating two reciprocally connected neurons ('B' and 'C'; Figure 3E). 224 occurrences of this motif can be found in the C. elegans hermaphroditic connectome. This motif is significantly enriched for the presence of cholinergic neurons in either position 2 or 3, or in both. Notably, position 1 is significantly enriched for Glu usage. In 146 out of the 224 motif occurrences, ACh is used by both neuron '2' and '3' (listed in Table 4), and 134 of these 146 motifs break down into a number of two striking types. In the first type, reciprocally connected command interneurons are either innervated by a sensory neuron or by an interneuron (Table 4). In virtually all of these cases, the innervating sensory neurons are glutamatergic. In many cases, the reciprocally connected command interneurons are neurons that control different directions of movement (forward vs. reverse; Table 4). In the second type, the SMD or RMD head motor neurons are reciprocally connected and innervated again either by mostly glutamatergic sensory neurons or by interneurons (Table 4).
Mapping putative inhibitory cholinergic synapses
The C. elegans genome encodes not only conventional, excitatory ACh-gated cation channels, but also inhibitory ACh-gated anion channels (Hobert, 2013; Putrenko et al., 2005). Based on the synaptic connectivity diagram and the knowledge of the identity of all cholinergic neurons, it is therefore possible to predict potential inhibitory cholinergic transmission by examining which neurons express an ACh-gated anion channel. The C. elegans genome encodes at least four ACh-gated anion channels, acc-1 through acc-4, two of which (acc-1 and acc-2) were electrophysiologically validated to be inhibitory receptors, while the function of two others (acc-3 and acc-4) is less clear (Putrenko et al., 2005). We examined their expression pattern using available but previously uncharacterized fosmid-based reporter constructs (Sarov et al., 2012).
An acc-3 fosmid reporter showed no appreciable expression throughout the animal, whereas acc-1 and acc-2 fosmid reporters show very restricted and non-overlapping expression in the adult nervous system (Figure 4). The acc-1 fosmid reporter is expressed in a subset of cholinergic neurons, including cholinergic neurons in the ventral nerve cord, the retrovesicular ganglion and a few head neurons (including the SMD, RMD motor neurons, the AVA and AVE command interneurons and the SAA neurons). A small number of glutamatergic neurons also express acc-1 (including the pharyngeal neurons MI and M3, the PLM neurons and an unidentified neuronal pair in the lateral ganglion). The acc-2 fosmid reporter is expressed in a distinct, small set of glutamatergic neurons (RIA, RIG, PHA, AIZ) and cholinergic neurons (URX, RIH). We also found that the acc-2 fosmid reporter is strongly expressed in the newly identified male-specific MCM neurons.
The acc-4 fosmid reporter showed the most striking expression pattern. As assessed by coexpression with cho-1, the acc-4 fosmid reporter is expressed almost exclusively in almost all of the 52 classes of cholinergic neurons (Figure 4). The only cholinergic neuron classes not expressing acc-4 are the ASJ and RIB neurons and the only acc-4-expressing non-cholinergic neurons are the AVF neurons. If acc-4 indeed is able to operate as inhibitory receptor (as suggested by its sequence), this expression data indicates that most cholinergic neurons can be silenced by presynaptically released ACh. In line with this prediction, more than half of all cholinergic neurons are innervated by cholinergic neurons. Among those neurons are the cholinergic command interneurons. This is particularly intriguing in light of laser ablation, electrophysiological and modeling data which indicate that specific command interneuron classes inhibit each others activity (Rakowski et al., 2013; Roberts et al., 2016). Another notable case of likely cross-inhibitory cholinergic connection is between members of two distinct head motor neuron classes (RMD and SMD classes). Notably, both the cross-inhibitory command interneurons and cross-inhibitory head motor neurons are parts of the above-described 'regulated mutual' network motif in which inter-connected cholinergic neurons are innervated by the same upstream neuron (Figure 3E). Regulated mutual motifs with negative interactions can operate as toggle switches that commit to one specific drive (forward movement) while inhibiting the alternative (reversal) drive.
However, it is important to keep in mind that a number of cholinergic neurons (including the command interneurons, but also VNC MNs) are also known to express excitatory ACh-gated ion channels (acr genes; www.wormbase.org), indicating that cholinergic input into these neurons may be complex.
We furthermore note that a substantial number of cholinergic neurons that express acc-4 are not innervated by cholinergic neurons (as predicted by the connectome), raising the intriguing possibility that ACC-4 may act as an inhibitory autoreceptor on cholinergic neurons. In the context of gene expression networks, negative autoregulation can confer a number of useful functions, including speed-up of circuit responses and noise reduction (Hart and Alon, 2013). A substantiation of this hypothesis will require a determination of the localization of ACC-4 protein as well as additional subunits with which ACC-4 must act to constitute an inhibitory receptor (Putrenko et al., 2005), a feat beyond the scope of this present study.
Acetylcholine is also the most broadly used neurotransmitter in the male-specific nervous system
The C. elegans male contains 91 sex-specific neurons, defining 24 classes, most of them located in the tail. We find that 16 out of these 24 classes are cholinergic (Figure 5A, Figure 1—figure supplement 3, Table 5). These cholinergic neurons include the only male-specific head neurons (the CEM sensory neurons) and an additional, male-specific class of motor neurons in the ventral nerve cord, the CA neurons. The three key themes observed in the hermaphrodite nervous system also apply to the male-specific neurons: (1) ACh is the most broadly used neurotransmitter in the male nervous system; (2) ACh is used in sensory, inter- and motor neurons of the male-specific nervous system; (3) the male-specific sensory neurons that are cholinergic are all in close proximity to the motor circuitry: most of them directly innervate muscle (i.e. are sensory/motor neurons; PCB, PCC, SPC; several ray neurons) while all others (HOB, SPV) innervate motor neurons. Like in the pharyngeal nervous system, we found neurons labeled by two conventional fast transmitters markers– the PVV neurons and the R6A neurons express unc-17/VAChT and eat-4/VGLUT (data not shown). ACh/Glu cotransmission has been observed in some central synapses in the vertebrate central nervous system (Nishimaru et al., 2005; Ren et al., 2011).
Most of the male-specific neurons are generated postembryonically from embryonically generated blast cells that divide during larval stages. One notable exception is the male-specific head sensory neuron class CEM. The two pairs of CEM neurons are generated in the embryo in both sexes, but are removed specifically in the hermaphrodite through programmed cell death (Sulston et al., 1983). We examined the onset of cholinergic differentiation of these neurons in males and found that they only start expressing cholinergic identity features at the L4 larval stage (Figure 5A). Hence, even though generated in the embryo, long before sexual maturation, neurotransmitter identity of CEM male-specific neurons only becomes established during overt sexual maturation in late larval stages. The same applies to the two classes of hermaphrodite-specific cholinergic neurons, the HSN and VC neurons. HSN is born embryonically, and VCs are born in the first larval stage, yet onset of cholinergic pathway genes is only observed in late L4 larval stages (Figure 5B–C). The late onset of neurotransmitter expression in the VC neurons is particularly notable if one compares the onset of cholinergic marker expression in the VC neurons with other cholinergic motor neurons born at the same time, namely the VA, VB and AS-type neurons. In these neurons, the onset of cholinergic marker expression is observed already in late L1 stage animals, contrasting the late L4 onset in the VC neurons (Figure 5C).
Other than the CEM neurons, there are no sex-specific neurons located in the head of the worm. We were therefore surprised to note a pair of neurons, located next to the cholinergic AIY interneurons in the ventral head ganglion that expressed cholinergic markers only in males, but not hermaphrodites (Figure 5D). This neuron pair is the AIM neuron pair, previously implicated in olfactory memory formation (Lakhina et al., 2015) and mate searching behavior (Barrios et al., 2012). In hermaphrodites, the AIM neurons are glutamatergic, expressing the vesicular glutamate transporter eat-4/VGLUT (Figure 5D). In males, the AIM neurons also initially express eat-4/VGLUT, but only until the L3 stage. During the L4 stage eat-4/VGLUT expression becomes downregulated and unc-17/VAChT and cho-1/ChT expression becomes induced (Figure 5E).
We assessed whether the neurotransmitter switch of the AIM neurons is programmed in a cell autonomous manner. To this end, we generated sexually mosaic animals in which we masculinized AIM in otherwise hermaphroditic animals and we feminized AIM in otherwise male animals, using previously described strategies (Lee and Portman, 2007; Mowrey et al., 2014; White and Jorgensen, 2012; White et al., 2007). Specifically, masculinization was achieved by degrading the global regulator of hermaphroditic cellular identity, TRA-1, by ectopic expression of FEM-3 in specific hermaphroditic cells; FEM-3 is normally functioning in males to globally degrade TRA-1. Feminization is achieved by preventing FEM-3 downregulation of TRA-1 in male cells through ectopic expression of the intracellular domain of TRA-2 (TRA-2ic), which normally acts in hermaphrodites to inhibit FEM-3. FEM-3 or TRA-2ic were expressed under a fragment of the eat-4 locus, which is exclusively expressed in the AIM neurons in the head ganglia of the worm (E.S. and O.H., unpubl.). We found that masculinization of the AIM neurons ('eat-4prom11::fem-3') in otherwise hermaphroditic animals results in downregulation of eat-4/VGLUT and upregulation of cho-1 expression (Figure 5F). Conversely, feminization of AIM in male animals results in sustained eat-4 expression and no induction of cho-1 expression (Figure 5F). These results demonstrate that the neurotransmitter switch is programmed cell autonomously.
Transcriptional control of the cholinergic neurotransmitter phenotype
Neurotransmitter maps can serve many different purposes. One of their applications relates to nervous system development. Since the neurotransmitter identity of a neuron defines a critical identity feature of any specific neuron type, a neurotransmitter map provides an entry point to study the molecular mechanisms by which neuronal identity is acquired. Previous work from our lab has defined transcription factors that control cholinergic identity in a small number of sensory, inter- and motor neurons. Specifically, we have reported that the POU homeobox gene unc-86 controls the cholinergic identity of three cholinergic sensory neurons (IL2, URA, URB) (Zhang et al., 2014), that the LIM homeobox gene ttx-3 controls the cholinergic identity of two cholinergic interneurons (AIY, AIA) (Altun-Gultekin et al., 2001) and that the COE (Collier/Olf/EBF)-type Zn-finger factor unc-3 controls cholinergic identity of most motor neuron classes in the VNC as well as the SAB head motor neurons (Kratsios et al., 2011, 2015). We sought to extend this analysis to other neuron classes, with the specific question in mind whether broad themes of neurotransmitter identity control may be revealed through the establishment of a comprehensive 'regulatory map'. To identify transcriptional regulators, we examined candidate factors known to be expressed in specific neurons and also conducted genetic screens using gfp-based identity markers of cholinergic neurons (see Materials and methods). Our analysis resulted in the identification of a total of 7 regulators that control the identity of 20 of the 52 cholinergic neuron types (Table 6; Figure 6).
In line with a similar observation that we made upon analysis of glutamatergic neuron identity control (Serrano-Saiz et al., 2013), we observed a striking preponderance of homeodomain containing proteins in the transcription factors that we newly identified as cholinergic identity regulators. Specifically, we found that the three LIM homeobox genes lim-4, lin-11 and ceh-14 control cholinergic identity of six distinct cholinergic neuron types, including sensory neurons (lim-4 in AWB), interneurons (lin-11 in PVP; ceh-14 in AIM, PVC) and motor neurons (ceh-14 in PVN, lim-4 in SMB; Table 6; Figure 6). However, we find that lim-7, the C. elegans homolog of vertebrate Islet, which specifies cholinergic identity in the spinal cord and forebrain in mice (Cho et al., 2014), is not required to specify cholinergic identity in C. elegans (as assessed by normal cho-1 expression throughout the nervous system in lim-7 null mutants; data not shown). Therefore, while the usage of LIM-type homeobox genes in controlling cholinergic neurotransmitter identity appears to be conserved from C. elegans to vertebrates, different family members appear to execute this function in different species and cell types.
Moreover, we found that the Pitx-type homeobox gene unc-30 controls cholinergic identity of the PVP interneurons (in conjunction with lin-11) and that the POU homeobox gene unc-86 controls cholinergic identity of the URX, RIH and male-specific CEM neurons. unc-86, in conjunction with ceh-14, is also required for the AIM neurons to adopt their cholinergic identity in males; both factors also control glutamatergic identity of the AIM neurons in hermaphrodites (and males till the third larval stage; Figure 6). All of the above-mentioned transcription factors are continuously expressed throughout the life of these neurons (Figure 6—figure supplement 1), suggesting that these factors not only initiate but also maintain cholinergic identity.
From a EMS-induced genetic mutant screen that we conducted for regulators of RMD neuron identity (see Materials and methods), we uncovered unc-42, a Prox-type homeobox gene as a regulator of cholinergic gene expression in RMD motor neurons. We also found that unc-42 affects cholinergic identity of four additional, distinct types of cholinergic head neurons, most of them motor neurons (Figure 6). unc-42 is continuously expressed in all these postmitotic neuron types (Figure 6—figure supplement 1).
The only exception to the homeobox theme is what appears to be the most remarkable regulator of cholinergic identity, the phylogenetically conserved COE-type unc-3 transcription factor. In addition to the previously reported impact of unc-3 on cholinergic ventral cord motor neuron identity (SAB-, A-, B-, AS-type MNs), we found that unc-3 regulates expression of the cholinergic identity genes cho-1 and unc-17 in all command interneurons (Figure 7, Table 6). Moreover, the PDA, PDB, PVN and DVA tail neurons also require unc-3 for their normal expression of cholinergic identity genes (Figure 7, Table 6). DVA is particularly notable here because like the command interneurons, the DVA neuron also takes a central role in the overall C. elegans connectivity network (Varshney et al., 2011) (Figure 3B) and this central location is paralleled by the dependence of these neurons on unc-3 activity. The expression pattern of unc-3 had not previously been reported in most of these neurons. Using a fosmid reporter and a gfp reporter inserted into the unc-3 locus through CRISPR-Cas9, we confirmed expression of unc-3 in all these cholinergic neuron types, including the command interneurons (Figure 7A).
Apart from the preponderance of homeobox genes, another striking theme we found is the employment of the same transcription factor in completely different cellular contexts, apparently a reflection of the operation of transcription factors in distinct combinations. For example, unc-86 controls cholinergic identity in the IL2 sensory neurons and the unrelated AIM interneurons (in the male). In these different cellular contexts unc-86 cooperates with distinct cofactors, cfi-1 in IL2 (Zhang et al., 2014) and ceh-14 in AIM (Figure 6G). The need for specific combinations of transcription factors to drive a specific identity program explains why we find that a factor that is expressed in multiple cholinergic neuron types does not necessarily regulate cholinergic identity in all neuron types in which it is expressed (Table 6). For example, lim-4 which is expressed in the cholinergic AWB, SMB and RIV neurons controls cholinergic identity in AWB and SMB (Figure 6), but not in RIV. This is likely because the cofactors that work together with lim-4 in AWB and/or SMB may not be expressed in RIV. Likewise, ceh-10 forms a heterodimer with ttx-3 in AIY to control its cholinergic identity (Altun-Gultekin et al., 2001; Wenick and Hobert, 2004), but it is not required for cholinergic identity of the AIN neurons which express ceh-10, but not ttx-3 (data not shown).
Transcription factors that we find to control cholinergic neurotransmitter identity are also employed in the control of other neurotransmitter identities (see Table 6), likely in the context of distinct transcription factors combinations. For example, the Pitx-type homeobox gene unc-30 controls cholinergic identity of the PVP neurons, apparently in conjunction with lin-11 (this study), but also controls the GABAergic identity of D-type VNC MNs, likely in conjunction with an as yet unidentified factor (Jin et al., 1994). Likewise, the LIM homeobox gene ceh-14, which controls cholinergic identity of the PVN and PVC neurons (Table 6), likely together with unc-3 (this study), controls glutamatergic identity of various amphid and phasmid sensory neurons in which ceh-14 operates independently of unc-3 (Serrano-Saiz et al., 2013).
Lastly, we note that loss of two of the transcription factors that we examined, unc-3 and ceh-14, results in derepression of cholinergic identity features in normally non-cholinergic neurons (data not shown). In unc-3 mutants, two cells in the dorsal ganglion ectopically express cholinergic features; these are probably the RID neuron and its sister cell. In ceh-14 mutants at least one pair of tail neurons ectopically expresses cholinergic markers.
Coupling of cholinergic identity with other terminal identity features
Most of the transcriptional regulators that we defined here control not only cholinergic identity in the respective neuron classes, but also control other identity features. For example, we find that loss of unc-3 affects multiple aspects of PDA motor neuron identity (expression of the exp-1 ligand gated ion channel, ace-3/4 cholinesterase, cog-1 homeobox gene) and loss of unc-42 affects metabotropic glutamate receptor (mgl-1) expression in the RMD neurons. Apart from affecting cholinergic identity, loss of ceh-14 affects neuropeptide (flp-10) expression, as well as the serotonergic co-transmitter identity of the AIM neurons and it affects expression of the ionotropic glutamate receptors nmr-1 and glr-1 in the PVC command interneuron (Figure 8). In addition, lin-11 and unc-30 were previously found to control many terminal identity features of the PVP (Hutter, 2003) and these two factors also control cholinergic identity of PVP (Figure 6E). Similarly, lim-4 controls cholinergic identity of the AWB neurons but also several other identity features (Alqadah et al., 2015; Sagasti et al., 1999). The coupling of adopting cholinergic identity control with the adoption of other identity features has been observed in previously described regulators of cholinergic identity: unc-3 for VNC MNs (Kratsios et al., 2015 2011), unc-86 for IL2 (Zhang et al., 2014), ttx-3 for AIY and AIA (Altun-Gultekin et al., 2001; Zhang et al., 2014), and also in the context of neurons with distinct neurotransmitter identities (e.g. [Flames and Hobert, 2009; Serrano-Saiz et al., 2013]).
However, we also noted a number of striking exceptions to the coupling of neurotransmitter identity with other terminal identity features. The serotonergic identity of the hermaphrodite specific motor neurons HSN is controlled by the unc-86 POU homeobox gene (Sze et al., 2002), but unc-86 does not affect unc-17/VAChT expression in HSN (data not shown). The most striking example for a separation of neurotransmitter identity from other identity features is observed in relation to the function of the unc-3 gene. We had previously shown that in all motor neurons in which unc-3 is expressed (SAB head motor neurons, A- B- and AS-type VNC MNs), unc-3 not only controls neurotransmitter identity, but also a multitude of other terminal molecular markers (Kratsios et al., 2015, 2011). In contrast, the activity of unc-3 in the AVA, AVB, AVD, AVE and PVC command interneurons and DVA interneuron appears to be restricted to select subfeatures of these neurons. We arrived at this conclusion by analyzing the expression of more than ten additional identity markers of these unc-3-expressing neurons (including glutamate receptors, neuropeptides and ion channels). Not a single one besides the cholinergic reporter genes is affected in the worms lacking unc-3 (Figure 7—figure supplement 1; Table 7). Within a subset of these neurons, namely the command interneurons AVA, AVD and AVE, three transcription factors, unc-42 (homeobox), fax-1 (nuclear hormone receptor) and cfi-1 (ARID-type), have been shown to control subsets of these unc-3-independent terminal identity markers (Table 8). The observation of a piece-meal regulation of distinct terminal identity features by a number of distinct transcription factors, each acting in a highly cell-type and target gene-specific manner (Table 8), represents a remarkable departure from the commonly observed theme of co-regulation of multiple identity features by the same set of transcription factors (Alqadah et al., 2015; Cinar et al., 2005; Duggan and Chalfie, 1995; Etchberger et al., 2009; Guillermin et al., 2011; Hobert, 2011; Kratsios et al., 2011; Serrano-Saiz et al., 2013; Wenick and Hobert, 2004; Zhang et al., 2014).
unc-3 is a circuit-associated transcription factor
Moving beyond a cell- and gene-centric consideration of regulatory factors, we asked whether there are any overarching, circuit-based themes of cholinergic identity control. Specifically, since every transcription factor that we identified here to control cholinergic neurotransmitter identity exerts its effect on more than one neuron type, we asked whether neurons whose neurotransmitter identity is controlled by the same regulatory factor are part of synaptically connected circuits. Such an observation would suggest that the respective transcription factor may define and coordinate the activity of entire circuits and perhaps may also define aspects of circuit assembly. We indeed found several examples of transcription factors that control the identity of synaptically connected neurons.
The most striking example is the ventral nerve cord motor circuit which is composed of a multitude of interconnected motor neurons (six different classes) and a highly interconnected 'rich club' of interneurons (also six different classes) (White et al., 1986; Towlson et al., 2013). As noted above, the entire ventral nerve cord motor circuit uses ACh (except DD/VD; shown again in Figure 9A). Strikingly, unc-3 is expressed and required for the adoption of cholinergic identity in all neurons in this circuit (schematized in Figure 9A; data in Figure 7B). unc-3 is therefore a circuit-associated transcription factor that is selectively associated with this circuit (unc-3 is expressed only in a few neurons outside this circuit) and that defines a critical feature of the circuit, namely the ability of neurons in the circuit to communicate among each other. We furthermore note that the regulated mutual 3-neuron network motif mentioned above (Figure 4E) frequently occurs in the unc-3-dependent motor circuit, with the mutually connected neurons being unc-3-dependent command interneurons that receive inputs either from glutamatergic neurons outside the circuit or from cholinergic, and also unc-3-dependent neurons within the circuit (Figure 9A; Table 4).
To investigate whether neurotransmitter identity is the only parameter of the circuit that is disrupted in unc-3 mutants, we examined connectivity between neurons in the VNC MN circuit. In our previous analysis of unc-3 function, we had identified neuromuscular junction defects, i.e. disorganized or absent synapses from VNC MNs onto body wall muscle (Kratsios et al., 2015), but upstream layers of the motor circuit (i.e. connections of command interneurons to MNs and connections among command interneurons) had not been examined. unc-3-expressing command interneurons make prominent electrical synapses to other command interneurons and to motor neurons and these synapses can be visualized through gfp-tagging of a gap junction component that connects command interneurons and motor neurons, the innexin unc-7 (Figure 7C), which is expressed in command interneurons (Starich et al., 2009). UNC-7::GFP puncta, visualized with a translational reporter are severely reduced in unc-3 mutants (Figure 7C). Expression of a transcriptional, fosmid-based unc-7 reporter is unaffected in unc-3 mutants (data not shown), leading us to conclude that unc-3 affects electrical synapse formation at a step independent of regulation of innexin expression.
To examine chemical synapses within neurons of the motor circuit, we reconstructed the chemical synapse connectivity of the AVA command interneuron in unc-3 null mutants using serial analysis of electron micrographs. We reconstructed a defined part of the anterior ventral nerve cord between two different motor neurons (AS1 and AS3). In this region, AVA makes prominent chemical synapses onto MNs and other command interneurons and it receives several synaptic inputs (Figure 7D). In unc-3 null mutants, we found connectivity defects on all levels: AVA receives less chemical synaptic input from within the motor circuit (i.e. from other command interneurons) and it makes less chemical synapses onto other motor neurons and onto other command interneurons (Figure 7D). There is also an overall disorganization of the placement of axonal processes in the VNC of unc-3 mutants (data not shown); however, AVA still neighbors the command interneurons that it normally connects to, indicating that the connectivity defects are not a secondary consequence of placement defects.
Non-cholinergic synaptic inputs from sensory neurons into the motor circuit appear not to be affected by unc-3. We arrived at this conclusion by examining the synaptic connections of the glutamatergic PHB neuron to the AVA interneuron, normally made in the pre-anal ganglion (White et al., 1986). This synaptic connection can be visualized using a GFP reconstitution system ('GRASP'; (Park et al., 2011). We find these synaptic GFP signals to be unaffected in unc-3 mutants (data not shown).
Remarkably, the pan-circuit control of cholinergic neurotransmitter identity by unc-3 is mediated via a single UNC-3 binding site ('COE motif') controlling neurotransmitter pathway genes. Its deletion in the context of the cho-1/ChT fosmid-based reporter eliminates expression not only in the ventral nerve cord motor neurons, but also in all other unc-3 dependent cholinergic neurons, not just within the motor neuron circuit, but also outside the circuit (Figure 10A–C). On the other hand, a 280 bp region from the cho-1 and a 250 bp region from the unc-17 locus that contain the COE motif are not sufficient to drive expression in all unc-3-dependent inter- and motor neurons of the motor circuit, but only drives expression in motor neurons (Figure 10D, E). This finding suggests that unc-3 may cooperate with distinct cofactors in distinct neuron types.
Taken together, unc-3 activity is required not only for the expression of proper neurotransmitter identity, but also for synaptic connectivity throughout the VNC motor neuron circuit, not just in motor neurons but also in command interneurons. However, as mentioned above, unc-3 is not required to control the expression of other identity features of command interneurons, such as the many types of distinct glutamate receptors expressed by the command interneurons (Figure 7—figure supplement 1).
unc-42 appears to be another circuit-associated transcription factor
unc-3 may not be the only transcription factor whose activity is required for the function and assembly of an entire circuit. On a micro-circuit level, we note that the homeobox gene unc-42 is, like unc-3, also frequently employed in the context of the 'regulated mutual' 3-neuron network motif described above. This motif is predominantly found either (a) in the context of the innervation of cross-connected command interneurons or (b) the context of cross-connected head motor neurons (SMDs and RMDs; Figure 9B; Table 4). unc-42 has functions in both of these motifs. In the case of the cross-connected head motor neurons (RMDs, SMDs) and the RIV interneuron that innervates these cross-connected neurons, unc-42 specifies the cholinergic identity of all of these neurons (and other signaling input to these neurons, exemplified by the above-mentioned regulation of the metabotropic Glu receptor mgl-1 by unc-42). In the cross-connected command interneurons, unc-42 does not affect their cholinergic identity, but it does affect the expression of multiple ionotropic Glu receptors (GluRs) expressed in the command interneurons (Brockie et al., 2001). Intriguingly, in a number of motif occurrences, the cross-connected command interneurons are innervated by the glutamatergic ASH sensory neurons, which sense a number of repulsive cues (Table 4) (Kaplan and Horvitz, 1993). We previously found that the glutamatergic identity of the ASH neurons is controlled by unc-42 (Serrano-Saiz et al., 2013). unc-42 therefore controls and apparently coordinates the expression of presynaptic neurotransmitter identity and postsynaptic receptor expression in a repulsive reflex circuit (Figure 9B).
Notably, the above-mentioned unc-42-dependent 'regulated mutual' 3 neuron network motifs are connected to one another, as illustrated in Figure 9B. Mutually connected, unc-42-dependent head motor neurons are coupled by electrical synapses (Figure 9B). Moreover, the unc-42-dependent head motor neurons are connected to the unc-42-dependent ASH>command interneuron motif. This connection is made by the glutamatergic AIB interneurons; strikingly, their glutamatergic identity is also controlled by unc-42 (E.S. and O.H., unpubl. data). Taken together, a network of interconnected neurons in the head of the worm that employ distinct neurotransmitter systems all require unc-42, either for the acquisition of their neurotransmitter identity or for the ability to receive neurotransmitter signals (unc-42-dependent GluR expression in command interneurons).
Conclusions
ACh is the most broadly used neurotransmitter in the nematode nervous system. In contrast, glutamate rather than ACh is the most broadly used excitatory neurotransmitter in vertebrates (von Bohlen Und Halbach and Dermietzel, 2006). Moreover, while ACh is thought to mainly act as a modulator of other pathways in the vertebrate CNS (Picciotto et al., 2012), ACh clearly has a primary role in the transmission and processing of various sensory modalities in C. elegans. For example, repulsive odorsensory cues sensed by the AWB olfactory neurons signal exclusively via ACh to command interneuron and motor neurons. The abundant use of ACh by so many different C. elegans neuron types may relate to the fact that in invertebrates like C. elegans, ACh can not only work as excitatory transmitter, but can also operate as inhibitory neurotransmitter via ACh-gated anion channels (Putrenko et al., 2005), which we describe here to be broadly expressed throughout the nervous system. The usage of ACh as an inhibitory neurotransmitter may relate to the fact that apart from its function in motor neurons GABA is only very sparsely used at neuron-neuron-synapses in C. elegans (only 1 interneuron).
The evolutionary history of distinct neurotransmitter systems is still much debated. Sensory-motor neurons can be found in the relatively simple nerve nets of ctenophores (comb jellies) and possibly form the most primitive and ancient neurons (Hernandez-Nicaise, 1974) (Jekely, 2011). The cholinergic nature of most C. elegans sensory-motor neurons suggests that ACh was perhaps the first neurotransmitter to have evolved. This is consistent with the notion that ACh is an ancient signaling molecule that precedes the evolution of nervous systems (Horiuchi et al., 2003; Wessler et al., 1999).
Sexual identity impinges on the adoption of neurotransmitter identity. One glutamatergic interneuron switches its neurotransmitter to become cholinergic in males. In addition, both hermaphrodite-specific (HSN, VC neurons) and male-specific neurons (CEMs) show a striking delay between birth of the respective neuron and adoption of cholinergic neurotransmitter identity. This delay appears to be independent on sex-specific targets of these neurons.
We described here seven transcription factors that control cholinergic neurotransmitter identity in 20 cholinergic neuron types. Our findings indicate that combinatorial transcription factor employment patterns the cholinergic nervous system, with individual factors being redeployed in distinct contexts. Moreover, six of the seven regulators of cholinergic identity identified here are homeobox genes. The only non-homeobox gene, unc-3, collaborates with one homeobox in two cholinergic neuron types (ceh-14 PVC and PVN) and possibly more (P.K. and O.H., unpubl. data). Combinatorial employment and homeobox preponderance are also defining features of glutamatergic neurotransmitter identity control (Serrano-Saiz et al., 2013).
Transcription factors that control cholinergic identity also control other identity features of a neuron, suggesting that the principle of co-regulation of many distinct terminal identity features by terminal selector-type transcription factors (Hobert, 2011) is broadly employed throughout the nervous system. One exception of this general patterning rule is revealed in the form of UNC-3, which acts as a terminal selector only in VNC MNs, but not in command interneurons. In these neurons, distinct identity features appear to be independently regulated by distinct factors.
Circuit-associated transcription factors control the neurotransmitter choice of all neurons in synaptically connected cholinergic subcircuits (unc-3, unc-42) and/or coordinate the expression of presynaptic neurotransmitter choice and postsynaptic receptor choice (unc-42). Cholinergic neurons are also generally heavily interconnected in vertebrate nervous systems (Woolf, 1991), and it will be interesting to see whether circuit-associated transcriptional regulators govern their communication as well. For example, vertebrate UNC-3 orthologs (EBF proteins) are not only expressed in cholinergic motor neurons of the spinal cord [(Garel et al., 1997); our unpublished observations], but possibly also in cholinergic neurons of the striatum and habenula (Garel et al., 1999; Lobo et al., 2008; Nagalski et al., 2015). Future studies will determine whether EBF proteins act as terminal selectors and/or circuit-associated transcription factors in these neuronal populations.
Materials and methods
Mutant strains
Request a detailed protocolThe C. elegans mutant strains used in this study were: unc-104(e1265); lim-4(ky403); ceh-14(ch3); lin-11(n389); unc-30(e191); unc-42(e419); unc-86(n846); unc-3(e151); unc-3(n3435).
Transgenic reporter strains
Request a detailed protocolThe unc-17, acc-1, acc-2, acc-3 and acc-4 fosmid reporter constructs were kindly provided by the TransgeneOme project (Sarov et al., 2012). gfp is fused directly to the respective loci ('translational reporters'). The unc-17 fosmid DNA was injected at 15 ng/μl into N2 worms together with lin-44::yfp as a co-injection marker. The cho-1 fosmid reporter construct was generated using λ-Red-mediated recombineering in bacteria as previously described (Tursun et al., 2009). For the cho-1 fosmid reporter, either an SL2 spliced, nuclear- localized mChOpti::H2B sequence was engineered right after the stop codon of the locus (resulting transgene: otIs544) or SL2 spliced, nuclear-localized yfp::H2B sequence was engineered at the same position, as previously reported (Stefanakis et al., 2015) (resulting transgene: otIs354). For the 'transcriptional', fosmid-based unc-7 reporter an sl2::H2B::yfp cassette was inserted at the 3’ end of the locus. The acc-1, -2, -3, and -4 and the cho-1 fosmid DNA were injected at 15 ng/μl into a pha-1(e2123) mutant strain with pBX as co-injection marker (Granato et al., 1994). The following reporter strains were generated for this study: unc-17 fosmid reporter (otIs576), cho-1 fosmid reporter (otIs544), acc-1 fosmid reporter (otEx6374), acc-2 fosmid reporter (otEx6375), acc-4 fosmid reporter (otEx6376). For the mutation of the COE motif in the context of the cho-1 fosmid-based reporter construct, two nucleotides (wild-type COE motif: aaaacggtctccagggagagaaa; mutated COE motif: aaaacggtctggagggagagaaa) that are critical for UNC-3 binding were mutated as previously described in Stefanakis et al., 2015.
The following additional, and previously described neuronal markers were used in the study: ric-19::gfp (otIs380), eat-4fosmid::sl2::yfp::H2B (otIs388), eat-4fosmid::sl2::mChOpti::H2B (otIs518), ace-3/4::gfp (fpIs1), rab-3::bfp (otIs355), pkd-2::gfp (bxIs14), unc-86fosmid::yfp (otIs337), rab-3::rfp (otIs355), lin-39fosmid::gfp (wgIs18), opt-3::gfp (gvEx173), flp-18::TagRFP (otEx6491), rig-3::gfp (otEx239). Additional transgenes used for cell identifications are listed in Table 9.
Cell-type specific changes of sexual identity
Request a detailed protocolFEM-3 and TRA-2ic were expressed under the control of a fragment of the eat-4 locus (between -2680 and -2155bp from ATG). The plasmids were injected in him-5(e1490) at 50 ng/ul. Two lines expressing FEM-3 were then crossed with otIs388 (eat-4fosmid::sl2::yfp::H2B) and otIs354 (cho-1fosmid::sl2::yfp::H2B) independently generating the following strains: OH13753 [otIs388; otEx6377 (eat-4prom11::fem-3::sl2::tagRFP;unc-122::GFP)], OH13802 [otIs388; otEx6378 (eat-4prom11::fem-3::sl2::tagRFP;unc-122::GFP)], OH13805 [otIs354; otEx6377 (eat-4prom11::fem-3::sl2::tagRFP;unc-122::GFP)] and OH13806 [otIs354; otEx6378 (eat-4prom11::fem-3::sl2::tagRFP;unc-122::GFP)]. Similarly, two lines expressing TRA-2ic were crossed with otIs388 and otIs354 generating the following strains: OH13803 [otIs388; otEx6379 (eat-4prom11::tra-2ic::sl2::tagRFP; unc-122::GFP)], OH13804 [otIs388; otEx6380 (eat-4prom11::tra-2ic::sl2::tagRFP; unc-122::GFP)], OH13807 [otIs354; otEx6379 (eat-4prom11::tra-2ic::sl2::tagRFP; unc-122::GFP)] and OH13808 [otIs354; otEx6380 (eat-4prom11::tra-2ic::sl2::tagRFP; unc-122::GFP)].
eat-4 and cho-1 expression was analyzed at 1 day adult animals with and without the array. eat-4 expression in AIM was normalized by its expression in the RIGL/R neurons, while for cho-1 the expression in AIM was normalized by its expression in AIYL/R neurons.
Antibody staining
Request a detailed protocolImmunofluorescence for UNC-17 was performed as described earlier (Duerr et al., 2008) using a an unc-104(e1265) mutant strain carrying the cho-1 fosmid reporter (otIs544). Worms were fixed using methanol/acetone and stained with a rabbit anti-UNC-17 serum diluted 1/100 (gift from James Rand).
Immunofluorescence for serotonin was performed using a tube fixation protocol as described earlier (Serrano-Saiz et al., 2013). The anti-5HT S-5545 antibody was used at 1/100 and purchased from Sigma Aldrich.
Microscopy
Request a detailed protocolWorms were anesthetized using 100 mM of sodium azide (NaN3) and mounted on 5% agarose on glass slides. All images (except Figure 8 and Figure 7—figure supplement 1) were acquired using a Zeiss confocal microscope (LSM880). Several z-stack images (each ~0.4 μm thick) were acquired with the ZEN software. Representative images are shown following orthogonal projection of 2–10 z-stacks. Images shown Figure 8 and Figure 7—figure supplement 1 were taken using an automated fluorescence microscope (Zeiss, AXIO Imager Z1 Stand). Acquisition of several z-stack images (each ~1 μm thick) was performed with the Micro-Manager software (Version 3.1). Representative images are shown following max-projection of 2–10 z-stacks using the maximum intensity projection type. Image reconstruction was performed using ImageJ software (Schneider et al., 2012).
For quantification of UNC-7::GFP puncta shown in Figure 7C, images were acquired and z-stack were generated as described above. Manual counting of the UNC-7::GFP puncta was performed using the cell counter plug-in of the ImageJ software.
For the quantification of eat-4 and cho-1 expression in AIM for the analysis shown in Figure 5F, images were acquired using a Zeiss confocal microscope (LSM880) and the fluorescence intensity mean was obtained with the ZEN software tool.
Statistical analysis
Request a detailed protocolFor results shown in Figures 5E–F and Figure 7C statistical analysis was performed using the Student’s t-test (tail 2, type 2). Values are expressed as mean ± standard deviation (s.d.) or standard error of the mean (sem) as indicated in each figure legend. For results shown in Figure 7 and Figure 7—figure supplement 1 we performed Fisher’s exact test (two-tailed).
Electron microscopical analysis
Request a detailed protocolWild-type and unc-3 mutant animals were reconstructed in the anterior region of the ventral cord in order to determine neuron morphology and synaptic circuitry. The reconstructions were made from electron micrographs of serial sections as described in White et al. (1986). The regions reconstructed were ~150 µm in length and included ~1800 serial sections. We reconstructed the region of the ventral nerve cord that roughly includes the region from AS01 to AS03 motor neurons. Every third section was photographed and printed. All the processes of neurons with cell bodies in the region reconstructed were followed. The neurons were identified by characteristic synaptic or morphological features together with the relative position of their cell bodies in the sequence of cell bodies in the ventral cord (White et al., 1986). The two reconstructed animals were the wild-type N2U and the unc-3(e151) allele in trans to a covering deficiency (mnDf5). This strain was generated by crossing unc-3(e151) the strain SP266 mnDp1(X;V)/ V; mnDf5 X.
Screen for cholinergic identity mutants
Request a detailed protocolThe otIs341 (mgl-1::gfp) transgenic strain was used to identify mutants affecting the identity of the cholinergic RMDD/V motor neurons. A conventional semi-clonal EMS screen identified the ot712 mutation, which was found to be closely linked to the transgene vsIs33V also present in the strain background. ot712 animals are uncoordinated and unc-42 maps on LGV. Complementation tests between ot712 and two alleles of unc-42 (e419 and e270) confirmed that ot712 is an allele of unc-42. Sanger sequencing reveals that ot712 harbors a late nonsense mutation (W181>Stop) in exon 6.
Network analysis
Network Construction
Request a detailed protocolConnectivity data was taken from the latest release of www.wormwiring.org which contains updates to the original wiring diagram (White et al., 1986). Data from both JSE and N2U worms were used. Only connections that have more than 3 EM-serial sections of synaptic connection are kept. Connection between a neuron to itself were ignored.
Motifs identification
Request a detailed protocolWe used m-finder software (located at: http://www.weizmann.ac.il/mcb/UriAlon/download/network-motif-software) to find 3-neuron and 4-neuron network motifs. 3-neuron motifs analysis was performed with default parameters. 4-motifs search was performed with the metropolis randomization method
Neurotransmitter assignment and enrichment analysis
Request a detailed protocolWe used five NT categories: Glutamate, Acetylcholine, GABA, other, Unknown. A neuron secreting GABA/Glu/Ach another NT was mapped as GABA/Glu/ACh. A neuron secreting only NTs other than GABA/Glu/Ach was mapped as 'Other'. All neurons without a NT were named 'Unknown'.
Motif role: A motif-role is a subset of neurons in a motif that when interchanged the subgraph remains the same motif. For example, for the 'regulated mutual motif' there are 2 roles: one role that comprises of neurons [1, 3] and one role that comprises of neuron [2].
We employ two approaches in search for NT-enrichment:
Per motif-role, we ask if neurons in this role secrete a specific NT more often than expected by chance.
For motif-roles that comprises of more than one NT, we further ask which NT-combinations appear more than expected by chance.
In both approaches, we start by counting the events in the real network. In approach 1, we count for each motif role and a given NT how many neurons in that motif role secrete that specific NT in the real neuron-network. For approach number 2, we count the number of occurrences of each NT-combination per given role.
We then compare those numbers to the event-numbers in randomized networks. Each generated network has the same network-structure, but each neuron is associated with a random NT out of the NT pool. This is done without repetitions, so at the end the randomized NT-list is a shuffling of the real NT-list. We generate 1000 randomized networks. We count for each randomized network how many times each NT appeared in each motif-role (for approach 1) and how many times each NT-combination appeared at each motif-role (approach 2). The number of occurrences of each NT/NT-combination is compared between the real network and the randomized networks by calculating a z-score.
We say that a motif-role is significantly associated with a given NT (approach 1), or a NT-combination (approach 2) if the z-score is larger than 2.
To assess the risk for false-positives in this approach, we repeated the above calculation while treating 100 randomized networks as real networks, comparing each of them to 100 randomized networks, and choosing events with z-score >2 as significant. For 3-neuron motifs, approach 1, the real network has 5.6 ± 0.7 significant events (the average was done by each time comparing the real network to different randomized networks), while random networks had on average 1.8 ± 1.9 significant events. Hence, the risk for false-positives does not seem high.
Calculating the relative usage of neurotransmitters as a function of the processing depth
Request a detailed protocolWe obtained the processing depth of each neuron from Varshney et al. (2011). Then, for each neurotransmitter, we calculated a histogram of the number of neurons that use this neurotransmitter at each processing depth (using the function SmoothHistogram in Mathematica). We then normalized the graphs at each processing depth such that each graph represents the percentage of neurons that use the relevant neurotransmitter at the relevant processing depth.
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Article and author information
Author details
Funding
Howard Hughes Medical Institute
- Laura Pereira
- Oliver Hobert
National Institute of Neurological Disorders and Stroke
- Oliver Hobert
The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.
Acknowledgements
We thank Qi Chen for generating transgenic strains, Feifan Zhang for isolating and providing the ot712 allele, James Rand for the UNC-17 antibody, Tulsi Patel for gfp-tagging the endogenous unc-3 locus, Nikos Stefanakis for engineering the COE motif mutation in the cho-1 fosmid, Abhishek Bhattcharya for unc-7 reporters, Eileen Southgate, Nichol Thomson for help in EM reconstructions of unc-3, Benjamin Raja for help with the EM analysis of unc-3 mutants, Scott Emmons for discussion and providing data via www.wormwiring.org, Kelsey Roberts for helping with genetic analysis and Shawn Lockery for communicating unpublished results. We are very grateful to James Rand for much helpful advice during this study and for detailed comments on the manuscript. We also thank Shawn Lockery and Christoph Kellendonk and members of the Hobert lab for comments on the manuscript. This work was funded by the National Institutes of Health [R37NS039996-05 to OH, K99-NS-084988-02 to PK), OD 010943 to DHH] and the Howard Hughes Medical Institute (LRG and OH).
Copyright
© 2015, Pereira 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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