Crosstalk between the chloroplast protein import and SUMO systems revealed through genetic and molecular investigation in Arabidopsis

  1. Samuel James Watson
  2. Na Li
  3. Yiting Ye
  4. Feijie Wu
  5. Qihua Ling
  6. R Paul Jarvis  Is a corresponding author
  1. Department of Plant Sciences, University of Oxford, United Kingdom
  2. National Key Laboratory of Plant Molecular Genetics, CAS Centre for Excellence in Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, China
  3. Department of Biology, University of Leicester, United Kingdom

Abstract

The chloroplast proteome contains thousands of different proteins that are encoded by the nuclear genome. These proteins are imported into the chloroplast via the action of the TOC translocase and associated downstream systems. Our recent work has revealed that the stability of the TOC complex is dynamically regulated by the ubiquitin-dependent chloroplast-associated protein degradation pathway. Here, we demonstrate that the TOC complex is also regulated by the small ubiquitin-like modifier (SUMO) system. Arabidopsis mutants representing almost the entire SUMO conjugation pathway can partially suppress the phenotype of ppi1, a pale-yellow mutant lacking the Toc33 protein. This suppression is linked to increased abundance of TOC proteins and improvements in chloroplast development. Moreover, data from molecular and biochemical experiments support a model in which the SUMO system directly regulates TOC protein stability. Thus, we have identified a regulatory link between the SUMO system and the chloroplast protein import machinery.

eLife digest

All green plants grow by converting light energy into chemical energy. They do this using a process called photosynthesis, which happens inside compartments in plant cells called chloroplasts. Chloroplasts use thousands of different proteins to make chemical energy. Some of these proteins allow the chloroplasts to absorb light energy using chlorophyll, the pigment that makes leaves green. The vast majority of these proteins are transported into the chloroplasts through a protein machine called the TOC complex. When plants lack parts of the TOC complex, their chloroplasts develop abnormally, and their leaves turn yellow.

Photosynthesis can make toxic by-products, so cells need a way to turn it off when they are under stress; for example, by lowering the number of TOC complexes on the chloroplasts. This is achieved by tagging TOC complexes with a molecule called ubiquitin, which will lead to their removal from chloroplasts, slowing photosynthesis down. It is unknown whether another, similar, molecular tag called SUMO aids in this destruction process.

To find out, Watson et al. examined a mutant of the plant Arabidopsis thaliana. This mutant had low levels of the TOC complex, turning its leaves pale yellow. A combination of genetic, molecular, and biochemical experiments showed that SUMO molecular tags control the levels of TOC complex on chloroplasts. Increasing the amount of SUMO in the mutant plants made their leaves turn yellower, while interfering with the genes responsible for depositing SUMO tags turned the leaves green. This implies that in plants with less SUMO tags, cells stopped destroying their TOC complexes, allowing the chloroplasts to develop better, and changing the colour of the leaves. The SUMO tagging of TOC complexes shares a lot of genetic similarities with the ubiquitin tag system.

It is possible that SUMO tags may help to control the CHLORAD pathway, which destroys TOC complexes marked with ubiquitin. Understanding this relationship, and how to influence it, could help to improve the performance of crops. The next step is to understand exactly how SUMO tags promote the destruction of the TOC complex.

Introduction

The chloroplast is a membrane-bound organelle that houses photosynthesis in all green plants (Jarvis and Lopez-Juez, 2013). Chloroplasts have an unusual evolutionary history – they are the integrated descendants of a cyanobacterial ancestor that entered the eukaryotic lineage via endosymbiosis. Although chloroplasts retain small genomes, almost all of the proteins required for chloroplast development and function are now encoded by the central, nuclear genome (Jarvis, 2008). These proteins must be imported into the organelle after synthesis in the cytosol, and this import is mediated by the coordinate action of the TOC and TIC complexes (the translocons at the outer and inner envelope membranes of chloroplasts; Jarvis, 2008).

The TOC complex contains three major components: the Omp85 (outer membrane protein, 85 kDa)-related protein, Toc75, which serves as a membrane channel (Schnell et al., 1994; Tranel et al., 1995), and two GTPase-domain receptor proteins, Toc33 and Toc159 (Hirsch et al., 1994; Kessler et al., 1994; Perry and Keegstra, 1994; Jarvis et al., 1998; Jarvis, 2008). Toc33 and Toc159 project into the cytosol and bind incoming preproteins.

The key components of the TOC complex were identified more than two decades ago (Hirsch et al., 1994; Kessler et al., 1994; Schnell et al., 1994; Tranel et al., 1995; Jarvis, 2008). However, the regulation of the activity and stability of the complex was, until recently, poorly understood. Major insights came from a forward genetic screen for suppressors of the pale-yellow Toc33 mutant, ppi1 (Ling et al., 2012). In this screen, SP1 (SUPPRESSOR OF PPI1 LOCUS 1), a novel RING-type E3 ubiquitin ligase, was identified. A series of sp1 mutations were shown to partially suppress the phenotypic defects of ppi1 with respect to chlorosis, chloroplast development, and chloroplast protein import. In addition, SP1 function was shown to promote plastid interconversion events (e.g., the development of the chloroplast from its precursor organelle, the etioplast). Later work demonstrated that SP1 function is also important for abiotic stress tolerance by enabling optimization of the organellar proteome via protein import regulation (Ling and Jarvis, 2015). Thus, through SP1, the ubiquitin-proteasome system promotes TOC complex degradation and reconfiguration in response to developmental and/or environmental stimuli.

Ubiquitinated TOC proteins are extracted from the chloroplast outer envelope membrane and degraded in the cytosol. Recent work identified two proteins that physically associate with SP1 and promote the membrane extraction of TOC proteins (Ling et al., 2019). These are SP2, an Omp85-type β-barrel channel protein that was identified in the same genetic screen as SP1, and Cdc48, a well-characterized cytosolic AAA+ chaperone ATPase that provides the motive force for the extraction of proteins from the chloroplast outer envelope. The three proteins – SP1, SP2, and Cdc48 – together define a new pathway for the ubiquitination, membrane extraction, and degradation of chloroplast outer envelope proteins, which has been named chloroplast-associated protein degradation (CHLORAD). In addition to CHLORAD, there exist cytosolic ubiquitin-dependent systems that also contribute to chloroplast biogenesis by regulating the levels of unimported preproteins (Lee et al., 2009; Grimmer et al., 2020) and by controlling the stability of the Toc159 receptor prior to its integration into the outer envelope membrane (Shanmugabalaji et al., 2018).

The discovery of SP1 and the CHLORAD pathway demonstrated that the TOC complex is not static but, instead, can be rapidly ubiquitinated and degraded in response to developmental and environmental stimuli. To complement this work, we decided to explore whether the TOC complex is also regulated by the small ubiquitin-like modifier (SUMO) system. This work was motivated in part by the results of a high-throughput screen for SUMO substrates in Arabidopsis (Elrouby and Coupland, 2010). This screen suggested that Toc159, a key component of the TOC complex, is a SUMO substrate. SUMOylation is intricately involved in plant development and stress adaptation, and so we were interested to determine whether the TOC complex is targeted by the SUMO system, and whether any such SUMOylation is functionally important. As crosstalk between the SUMO system and the ubiquitin-proteasome system is common, we reasoned that answering these questions might provide insights into the regulation of SP1 and the CHLORAD pathway.

To explore the relationship between the chloroplast protein import and SUMO systems, we carried out a comprehensive series of genetic, molecular, and biochemical experiments. Mutants representing most components of the Arabidopsis SUMO pathway were found to partially suppress the phenotype of the chlorotic Toc33 null mutant, ppi1, with respect to leaf chlorophyll accumulation, chloroplast development, and TOC protein abundance. Conversely, overexpression of either SUMO1 or SUMO3 enhanced the severity of the ppi1 phenotype. Moreover, the E2 SUMO conjugating enzyme, SCE1, was found to physically interact with the TOC complex in bimolecular fluorescence complementation (BiFC) experiments; and TOC proteins were seen to physically associate with SUMO proteins in immunoprecipitation (IP) assays. In combination, our data conclusively demonstrate significant crosstalk between the SUMO system and the chloroplast protein import apparatus, and emphasize the complexity of the regulation of the TOC translocase.

Results

The E2 SUMO conjugating enzyme mutant sce1-4 and the E3 SUMO ligase mutants siz1-4 and siz1-5 partially suppress the phenotype of the Toc33 mutant ppi1

Two key components of the CHLORAD pathway, SP1 and SP2, were identified in a forward genetic screen for suppressors of ppi1, an Arabidopsis Toc33 null mutant (Ling et al., 2012; Ling et al., 2019). Both sp1 and sp2 mutants can partially suppress the ppi1 phenotype with respect to chlorophyll accumulation, chloroplast development, and TOC protein abundance. To investigate whether the TOC complex is targeted by the SUMO system, we obtained several Arabidopsis SUMO system mutants, crossed them with ppi1, and carefully examined the phenotypes of the resulting double mutants. This reverse genetic approach was possible because the basic architecture of the Arabidopsis SUMO system is remarkably simple. In the SUMO pathway, the ubiquitin-like SUMO modifier protein is conjugated to substrates by the coordinated action of E1 activating enzymes, E2 conjugating enzymes, and E3 SUMO ligases. Although thousands of proteins are SUMOylated in Arabidopsis, there is just one known E1 SUMO activating enzyme, one known E2 SUMO conjugating enzyme, and only two known E3 SUMO ligases of canonical function (Saracco et al., 2007; Ishida et al., 2009).

First, we analyzed sce1-4, a weak mutant allele of the sole E2 SUMO conjugating enzyme gene in Arabidopsis, which is an essential gene (Saracco et al., 2007). The sce1-4 mutant shows a moderate reduction in the expression of SCE1 and in global levels of SUMOylation, but it displays no obvious visible phenotypic defects under steady-state conditions (Saracco et al., 2007). The ppi1 sce1-4 double mutant was phenotypically characterized, and, intriguingly, it appeared greener than the ppi1 single mutant (Figure 1A, Figure 1—figure supplement 1A). This was linked to a moderate increase in leaf chlorophyll concentration (Figure 1B, Figure 1—figure supplement 1B). Next, we asked whether the phenotypic suppression observed in ppi1 sce1-4 was linked to changes in the development of chloroplasts. The chloroplasts of ppi1 sce1-4 were visualized via transmission electron microscopy. Interestingly, the chloroplasts of the ppi1 sce1-4 double mutant appeared larger and better developed than those of the ppi1 control (Figure 1C). The transmission electron micrographs were quantitatively analyzed, and the ppi1 sce1-4 chloroplasts were indeed found to be significantly larger than those of ppi1 (Figure 1D), with larger, more interconnected thylakoidal granal stacks (Figure 1E and F).

Figure 1 with 3 supplements see all
The E2 small ubiquitin-like modifier (SUMO) conjugating enzyme mutation sce1-4 and the E3 SUMO ligase mutations siz1-4 and siz1-5 suppress the phenotype of the plastid protein import mutant ppi1.

(A) The ppi1 sce1-4 double mutant appeared greener than ppi1 after approximately 5 weeks of growth on soil. (B) The ppi1 sce1-4 double mutant showed enhanced accumulation of chlorophyll relative to ppi1 after approximately 5 weeks of growth on soil. Measurements were taken from the plants shown in (A) on the day of photography, as well as additional similar plants. There were significant differences between the ppi1 and ppi1 sce1-4 plants (two-tailed t-test, unpaired samples, T = 6.15, p=0.000049). (C) Transmission electron microscopy revealed improved chloroplast development in mature rosette leaf mesophyll tissue of ppi1 sce1-4 plants relative to ppi1. Plants that had been grown on soil for approximately 4 weeks were analyzed, and representative images are shown. Scale bar = 2 µm. (D) Chloroplast plan area was elevated in ppi1 sce1-4 relative to ppi1. The transmission electron microscopy dataset was quantified. There were significant differences between the ppi1 and ppi1 sce1-4 plants (two-tailed t-test, unpaired samples, T = 4.65, p=0.009674). (E, F) Thylakoid membrane development was increased in ppi1 sce1-4 relative to ppi1. The number of stacked thylakoidal lamellae per granum (E), and the number of stromal thylakoidal lamellae emanating from each granum (granal interconnections) (F), was analyzed using the transmission electron microscopy dataset. There were significant differences between the ppi1 and ppi1 sce1-4 plants (two-tailed t-test, unpaired samples: T = 5.53, p=0.005221 [E]; T = 3.38, p=0.0277 [F]). (G) The ppi1 siz1-4 and ppi1 siz1-5 double mutants appeared greener than ppi1 after different periods of growth on soil. The plants were photographed after 3 weeks of growth (right panel) and then again after 5 weeks of growth (left panel). (H) The ppi1 siz1-4 double mutant showed enhanced accumulation of chlorophyll relative to ppi1 after approximately 5 weeks of growth on soil. Measurements were taken from the plants shown in (G) on the day of photography, as well as additional similar plants. There were significant differences between the ppi1 and ppi1 siz1-4 plants (two-tailed t-test, unpaired samples, T = 11.01, p<0.00001). (I) TOC protein accumulation was improved in ppi1 siz1-4 and ppi1 siz1-5 relative to ppi1. Analysis of the levels of Toc75 and Toc159 in ppi1 siz1-4, ppi1 siz1-5, and relevant control plants was conducted by immunoblotting. Protein samples were taken from whole seedlings that had been grown on soil for approximately 2 weeks (the plants shown in Figure 1—figure supplement 1C on the day of photography). Tic110, a TIC-associated protein, was included as a compartment-specific loading control (Inaba et al., 2005). Migration positions of standards are displayed to the left of the gel images, and sizes are indicated in kDa. Unprocessed membrane images are displayed in Source data 1. (J, K) Toc159 and Toc75 protein accumulation was improved in ppi1 siz1-4 and ppi1 siz1-5 relative to ppi1. Specific bands in (I) and in Source data 1 were quantified. There were significant differences between the ppi1 and ppi1 siz1-4 samples (one-tailed t-test, unpaired samples: T = 2.26, p=0.032316 [J, Toc159]; T = 2.93, p=0.021334 [K, Toc75]) and between the ppi1 and ppi1 siz1-5 samples (one-tailed t-test, unpaired samples: T = 2.76, p=0.01639 [J, Toc159]; T = 3.36, p=0.014118 [K, Toc75]). In all bar charts, error bars indicate standard deviation from the mean, and open red circles indicate individual data points. The numbers above the graphs indicate the number of biological replicates per sample. Statistical significance is indicated as follows: *p<0.05; **p<0.01; ****p<0.0001; *****p<0.00001.

SUMO conjugation is usually dependent on the action of E3 SUMO ligases. In Arabidopsis, the best characterized E3 SUMO ligase is SIZ1 (Kurepa et al., 2003; Miura et al., 2005; Saracco et al., 2007). SIZ1 is not essential, but null mutants display severely dwarfed phenotypes. In order to include SIZ1 in our genetic analysis, we obtained two new T-DNA insertion alleles and named them siz1-4 and siz1-5. While both mutants were visibly similar to the published mutants (Miura et al., 2005; Liu et al., 2019), siz1-4 showed a milder phenotype with only moderate growth retardation when grown to maturity. We mapped the integration sites of the T-DNA insertions in these two mutants (Figure 1—figure supplement 2A) and showed that both display a strong reduction in SIZ1 transcript by RT-PCR analysis (Figure 1—figure supplement 2B). In addition, both mutants displayed defects in global SUMOylation in response to heat shock, similar to the published alleles (Figure 1—figure supplement 3). The two new siz1 mutants were crossed with ppi1 and the resulting double mutants were phenotypically characterized. Both the ppi1 siz1-4 and the ppi1 siz1-5 double mutants appeared greener than the ppi1 control (Figure 1G, Figure 1—figure supplement 1C). In addition, the double mutants showed dramatic increases in leaf chlorophyll concentration relative to ppi1 (Figure 1H, Figure 1—figure supplement 1D). Next, we asked whether the phenotypic suppression observed in ppi1 siz1-4 and ppi1 siz1-5 was linked to changes in the abundance of TOC proteins. To this end, protein samples were taken from the two double mutants and relevant control plants and resolved via immunoblotting. Both double mutants displayed clear increases in the abundance of Toc159 and Toc75, two core components of the TOC complex, relative to ppi1 (Figure 1I, J and K).

The suppression effects mediated by the SUMO system mutants are specific

As discussed in the previous section, the SUMO system is encoded by a remarkably small number of genes in Arabidopsis. As a consequence, SUMO system mutants have highly pleiotropic molecular and physiological phenotypes. We therefore asked whether the partial suppression of ppi1 by SUMO system mutants was specific to the ppi1 background. We crossed sce1-4 with tic40-4 and hsp93-V-1, two TIC-complex-associated mutants. These mutants are chlorotic, due to defects in protein import across the chloroplast inner membrane, and in this respect are highly similar to ppi1 (Kovacheva et al., 2005). Significantly, the resulting double mutants, tic40-4 sce1-4 and hsp93-V-I sce1-4, were indistinguishable from tic40-4 and hsp93-V-1, their respective single mutant controls (Figure 2A and C). Moreover, the double mutants did not display changes in leaf chlorophyll accumulation relative to the single mutant controls (Figure 2B and D). We therefore concluded that the suppression effects observed in ppi1 sce1-4 plants were background-specific and associated with the TOC complex.

Genetic analysis reveals specificity of the suppression mediated by the sce1-4 and siz1-4 mutations.

(A) The tic40-4 sce1-4 double mutant did not appear greener than tic40-4 after approximately 4 weeks of growth on soil. (B) The tic40-4 sce1-4 double mutant did not show an enhanced accumulation of chlorophyll relative to tic40-4 after approximately 4 weeks of growth on soil. Measurements were taken from the plants shown in (A) on the day of photography, as well as additional similar plants. There were no significant differences between the tic40-4 and tic40-4 sce1-4 plants (two-tailed t-test, unpaired samples, T = 1.25, p=0.280106). (C) The hsp93-V-1 sce1-4 double mutant did not appear greener than hsp93-V-1 after approximately 4 weeks of growth on soil. (D) The hsp93-V-1 sce1-4 double mutant did not show an enhanced accumulation of chlorophyll relative to hsp93-V-1 after approximately 4 weeks of growth on soil. Measurements were taken from the plants shown in (C) on the day of photography, as well as additional similar plants. There were no significant differences between the hsp93-V-1 and hsp93-V-1 sce1-4 plants (two-tailed t-test, unpaired samples, T = 0.18, p=0.860702). (E) The sce1-4 single mutant did not appear greener than wild-type plants after approximately 4 weeks of growth on soil. (F) The sce1-4 single mutant did not show an enhanced accumulation of chlorophyll relative to wild-type plants after approximately 4 weeks of growth on soil. Measurements were taken from the plants shown in (E) on the day of photography, as well as additional similar plants. There were no significant differences between the sce1-4 and wild-type plants (two-tailed t-test, unpaired samples, T = 0.38, p=0.708484). (G) The siz1-4 single mutant did not appear greener than wild-type plants after approximately 5 weeks of growth on soil. (H) The siz1-4 single mutant did not show an enhanced accumulation of chlorophyll relative to wild-type plants after approximately 5 weeks of growth on soil. Measurements were taken from the plants shown in (G) on the day of photography, as well as from additional similar plants. There were no significant differences between the siz1-4 and wild-type plants (T = 0.96, p=0.370055). In all bar charts, error bars indicate standard deviation from the mean, and open red circles indicate individual data points. The numbers above the graphs indicate the number of biological replicates per sample. Statistical significance is indicated as follows: ns: not significant.

Next, we asked whether the sce1-4 and siz1-4 single mutants display an increase in chlorophyll concentration even in the wild-type background. However, neither mutant appeared greener than wild-type plants (Figure 2E and G, Figure 1—figure supplement 1A and C) or displayed an increase in leaf chlorophyll concentration (Figure 2F and H, Figure 1—figure supplement 1B and D). We therefore concluded that the suppression effects mediated by the SUMO mutants were synthetic phenotypes specific to the ppi1 background.

BiFC analysis reveals that SCE1 physically interacts with TOC proteins

Our reverse genetic experiments revealed a genetic interaction between the E2 SUMO conjugating enzyme, SCE1, and the protein import machinery at the chloroplast outer membrane. To determine whether SCE1 directly interacts with the TOC complex, we carried out BiFC experiments in Arabidopsis protoplasts. The SCE1 coding sequence was cloned into a vector that C-terminally appends the C-terminal half of YFP (cYFP) to its insert. This construct was co-expressed with various other constructs encoding TOC proteins bearing the complementary, N-terminal moiety of the YFP protein (nYFP), appended N-terminally; or with a negative control construct encoding ΔOEP7 bearing the nYFP moiety appended C-terminally. In this system, protein-protein interactions are inferred via the detection of a YFP signal, caused by the nYFP and cYFP fragments coming together to reconstitute a functional YFP protein.

Strikingly, SCE1-cYFP was found to physically associate with all tested TOC proteins – nYFP-Toc159, nYFP-Toc132, nYFP-Toc34, and nYFP-Toc33 (Figure 3). Moreover, these interactions were concentrated at the periphery of the chloroplasts, placing them in an appropriate subcellular context for the in situ regulation of the chloroplast protein import machinery. Conversely, SCE1-cYFP was not found to physically associate with the negative control protein ΔOEP7-nYFP. The ΔOEP7 protein comprises the transmembrane domain of plastid protein OEP7, which is sufficient to efficiently target the full-length YFP protein to the chloroplast outer membrane (Lee et al., 2001); thus, cYFP-ΔOEP7 serves as a location-specific negative control.

SCE1 physically interacts with TOC proteins in vivo.

Bimolecular fluorescence complementation (BiFC) analysis of SCE1 protein-protein interactions was performed by imaging Arabidopsis protoplasts co-expressing proteins fused to complementary N-terminal (nYFP) and C-terminal (cYFP) fragments of the YFP protein, as indicated. Chlorophyll autofluorescence images were used to orientate the YFP signals in relation to the chloroplasts. SCE1 physically associated with all tested TOC proteins. The images shown are representative confocal micrographs indicating associations between SCE1 and Toc159, Toc132, Toc34, and Toc33. In contrast, SCE1 did not physically associate with ΔOEP7 (comprising the transmembrane domain of OEP7, which is sufficient to direct targeting to the chloroplast outer envelope), which served as a negative control. Scale bars = 10 µm.

Manipulating the expression of three SUMO isoforms alters the phenotypic severity of ppi1

To further explore the genetic interaction between the chloroplast protein import and SUMO systems, we crossed ppi1 with several SUMO protein mutants. There are three major SUMO isoforms in Arabidopsis – SUMO1, SUMO2, and SUMO3. The SUMO1 and SUMO2 genes are expressed at a relatively high level throughout the plant and are largely functionally redundant (Saracco et al., 2007; van den Burg et al., 2010). In addition, they are highly similar to each other in terms of amino acid sequence (Saracco et al., 2007). In contrast, at steady state, SUMO3 is expressed at a relatively low level throughout the plant, while the SUMO3 amino acid sequence is significantly divergent with respect to the other two SUMO isoforms (van den Burg et al., 2010).

First, we analyzed SUMO1 and SUMO2. We obtained sum1-1 and sum2-1, two previously characterized null mutants (Saracco et al., 2007), and crossed them with ppi1. To account for the functional redundancy between these two genes, we also sought a ppi1 sum1-1 sum2-1 triple mutant. However, as SUMO1 and SUMO2 are collectively essential, ppi1 sum1-1 sum2-1 plants that were homozygous with respect to ppi1 and sum2-1, but heterozygous with respect to the sum1-1 mutation, were selected from a segregating population. The double and triple mutants were phenotypically characterized, and all three appeared larger and greener than the ppi1 control plants (Figure 4A). Moreover, the double and triple mutants showed corresponding increases in leaf chlorophyll concentration, with the triple mutant showing a larger increase than the double mutants (Figure 4B). These were synthetic effects as the sum1-1, sum2-1, and sum1-1 sum2-1 single and double mutants did not appear greener than wild-type plants or show increases in chlorophyll accumulation (Figure 4—figure supplement 1). We therefore concluded that the sum1-1 and sum2-1 mutants can additively suppress the phenotype of ppi1.

Figure 4 with 2 supplements see all
Genetic interactions between ppi1 and the genes encoding three small ubiquitin-like modifier (SUMO) isoforms.

(A) The ppi1 sum1-1, ppi1 sum2-1, and ppi1 sum1-1sum2-1 double and triple mutants appeared greener than ppi1 after approximately 4 weeks of growth on soil. The ‘†’ symbol indicates that the triple mutant was heterozygous with respect to the sum1-1 mutation. (B) The ppi1 sum1-1, ppi1 sum2-1, and ppi1 sum1-1sum2-1 double and triple mutants showed enhanced accumulation of chlorophyll relative to ppi1 after approximately 4 weeks of growth on soil. Measurements were taken from the plants shown in (A) on the day of photography, as well as additional similar plants. There were significant differences between the samples as measured via a one-way ANOVA (F = 26.21, p=6.65 × 10–14). A post-hoc Tukey HSD test indicated that there was a significant difference between the ppi1 and ppi1 sum1-1 samples (p<0.00001). There were also significant differences between the ppi1 and ppi1 sum2-1 samples (p<0.00001), and between the ppi1 and ppi1 sum1-1sum2-1 samples (p<0.00001). (C) The ppi1 SUMO1 overexpression (OX) lines appeared smaller and paler than ppi1 after approximately 4 weeks of growth on soil. (D) The ppi1 SUMO1 OX lines showed reduced accumulation of chlorophyll relative to ppi1 after approximately 4 weeks of growth on soil. Measurements were taken from the plants shown in (C) on the day of photography, as well as additional similar plants. There were significant differences between the ppi1 and ppi1 SUMO1 OX #1 plants (two-tailed t-test, unpaired samples, T = 2.27, p=0.026832), and between the ppi1 and ppi1 SUMO1 OX #2 plants (two-tailed t-test, unpaired samples, T = 2.49, p=0.01634). (E) The ppi1 sum3-1 double mutant did not appear greener than ppi1 after approximately 4 weeks of growth on soil. (F) The ppi1 sum3-1 double mutant did not show an enhanced accumulation of chlorophyll relative to ppi1 after approximately 4 weeks of growth on soil. Measurements were taken from the plants shown in (E) on the day of photography, as well as additional similar plants. There were no significant differences between the ppi1 and ppi1 sum3-1 plants (two-tailed t-test, unpaired samples, T = 0.54, p=0.59407). (G) The ppi1 SUMO3 overexpression line appeared smaller and paler than ppi1 after approximately 3 weeks of growth on soil. (H) The ppi1 SUMO3 overexpression line showed reduced accumulation of chlorophyll relative to ppi1 after approximately 3 weeks of growth on soil. Measurements were taken from the plants shown in (G) on the day of photography, as well as additional similar plants. There were significant differences between the ppi1 SUMO3 OX plants and ppi1 (two-tailed t-test, unpaired samples, T = 2.99, p=0.008688). In all bar charts, error bars indicate standard deviation from the mean, and open red circles indicate individual data points. The numbers above the graphs indicate the number of biological replicates per sample. Statistical significance is indicated as follows: ns: not significant; *p<0.05; **p<0.01; ****p<0.0001.

To complement the preceding experiment, we generated transgenic plants overexpressing SUMO1 in the ppi1 background. The SUMO1 coding sequence was cloned into a vector carrying a strong, constitutive promotor (cauliflower mosaic virus 35S) upstream of the cloning site. The resulting construct was stably introduced into the ppi1 background via Agrobacterium-mediated transformation. Two lines carrying a single, homozygous transgene insert were identified and taken forward for analysis. The overexpression of SUMO1 was confirmed in both lines by RT-PCR (Figure 4—figure supplement 2A). Significantly, both lines displayed an accentuation of the ppi1 phenotype: the plants were significantly smaller and paler than the ppi1 control plants (Figure 4C), and showed decreases in leaf chlorophyll concentration (Figure 4D).

Next, we turned our attention to SUMO3. We obtained sum3-1, a previously characterized null mutant (van den Burg et al., 2010), and crossed it with ppi1. The resulting double mutant was phenotypically characterized, but it did not appear obviously different from the ppi1 control (Figure 4E). Correspondingly, it did not display any clear increase in leaf chlorophyll concentration relative to ppi1 (Figure 4F). To complement this experiment, we generated transgenic plants overexpressing SUMO3 in the ppi1 background using the approach described above, and a line carrying a single, homozygous insert was identified and taken forward for analysis. The overexpression of SUMO3 was confirmed by RT-PCR (Figure 4—figure supplement 2B). Interestingly, the transgenic plants showed a striking increase in the severity of the ppi1 phenotype: the plants were severely dwarfed and paler than the ppi1 control (Figure 4G), and displayed a significant decrease in leaf chlorophyll accumulation (Figure 4H). These findings are particularly noteworthy when considered alongside a previous report, which explored the consequences of overexpressing SUMO3 in wild-type plants (van den Burg et al., 2010). In that study, SUMO3 overexpression was not found to alter the appearance of the transgenic plants, which implies a degree of specificity in the phenotypic accentuation observed here.

Biochemical analysis supports SUMO action on TOC proteins in vivo

The genetic and molecular experiments described thus far strongly suggested that TOC proteins are SUMOylated. However, to our knowledge, conclusive evidence that chloroplast-resident proteins are SUMOylated is currently lacking. To investigate whether chloroplast proteins may be SUMOylated, we isolated chloroplasts from seedlings by cell fractionation and analyzed them by anti-SUMO immunoblotting. For this analysis, we employed a proven commercial antibody against SUMO1, which is one of the most abundant SUMO isoforms in Arabidopsis making it more tractable for analysis, and which furthermore is known to accumulate in response to heat and other stresses (Kurepa et al., 2003; van den Burg et al., 2010). To enhance detection of SUMOylated proteins in our samples, we subjected some of the seedlings to heat shock before chloroplast isolation and/or treatment with 10 mM N-ethylmaleimide (NEM) during chloroplast isolation. NEM is a potent inhibitor of SUMO-specific proteases (Hilgarth and Sarge, 2005). Importantly, we detected protein SUMOylation in the isolated chloroplast samples, and this SUMOylation was increased by NEM treatment (Figure 5—figure supplement 1).

Next, we carried out a series of biochemical experiments to investigate whether TOC proteins may be SUMOylated. In the first of these, the SCE1 coding sequence was cloned into a vector that appends a C-terminal YFP tag (Karimi et al., 2002). We confirmed that the resulting SCE1-YFP construct delivers good expression and the expected nucleocytoplasmic fluorescence pattern when transiently expressed in protoplasts (Figure 5—figure supplement 2A). Then, we transfected a large volume of protoplasts with the SCE1-YFP construct (or with a YFP-HA negative control construct) and performed IP using YFP-Trap magnetic beads. The samples were analyzed by immunoblotting. The YFP-HA and SCE1-YFP fusion proteins both showed robust expression and strong recovery in the IP elutions (Figure 5A). Remarkably, the SCE1-YFP fusion protein was found to be associated with native Toc159 and Toc132, but not with the negative control proteins Tic110 or Tic40 (Figure 5A; Kovacheva et al., 2005; Inaba et al., 2005 ). Conversely, YFP-HA did not associate with any of the tested proteins. Given that SCE1 is a promiscuous enzyme that associates with thousands of proteins (Elrouby and Coupland, 2010), and that these interactions are likely to be transient, it is remarkable that TOC co-elution was detectable in this experiment.

Figure 5 with 4 supplements see all
Immunoprecipitation (IP) analysis reveals that TOC proteins are small ubiquitin-like modifier (SUMO) targets.

(A) SCE1 physically associated with native TOC proteins. Arabidopsis protoplasts expressing YFP-HA (left panel) or SCE1-YFP (right panel) were solubilized and subjected to IP analysis. The YFP-HA construct served as a negative control. In both cases, three samples were analyzed: the ‘Total lysate’ sample (total protein extract from solubilized protoplasts); the ‘Flow through’ sample (the total protein sample after incubation with anti-YFP beads); and the ‘IP’ sample (the eluted fraction of the total protein sample that bound to the anti-YFP beads). The samples were analyzed by immunoblotting, revealing that SCE1-YFP, but not the YFP-HA control, was associated with native Toc159 and Toc132 (indicated by the arrows). Neither SCE1-YFP nor YFP-HA was associated with native Tic110 or Tic40, which were included as negative control proteins. (B) All three SUMO isoforms physically associated with native Toc159. Protoplasts expressing YFP-HA, YFP-SUMO1, YFP-SUMO2, or YFP-SUMO3 were solubilized and subjected to IP analysis as in (A). In all four cases, two samples (the ‘Total lysate’ and the ‘IP’ samples) were analyzed by immunoblotting. Toc159 was resolved on an 8% acrylamide gel for 4 hr to maximize the resolution of high molecular weight bands. All three YFP-SUMO proteins were found to associate with native Toc159; however, YFP-SUMO3 immunoprecipitated Toc159 with the greatest efficiency. None of the four YFP fusion proteins associated with native Tic40, which served as a negative control protein. (C) YFP-SUMO3 physically associated with Toc33-HA and related high molecular weight species. Protoplasts co-expressing YFP-SUMO3 or YFP-HA together with Toc33-HA were solubilized and subjected to IP analysis as in (A). In both cases, two samples (the ‘Total lysate’ and ‘IP’ samples) were analyzed by immunoblotting. The results showed that YFP-SUMO3, but not YFP-HA, was associated with Toc33-HA (indicated by the lower arrow). Bands corresponding to the molecular weight of Toc33-HA bearing one, two, or several YFP-SUMO3 motifs were detected on the membrane (indicated by the upper arrows). The predicted molecular weight of YFP-SUMO3 is approximately 38.9 kDa. Neither YFP-SUMO3 nor YFP-HA was associated with Tic40, which served as a negative control protein. The asterisk indicates a nonspecific band. Short (SE) and long (LE) exposures are shown. Migration positions of standards are displayed to the left of the gel images, and sizes are indicated in kDa. The unprocessed membrane images are displayed in Source data 1.

In the second experiment, we cloned the SUMO1, SUMO2, and SUMO3 coding sequences into a vector that appends an N-terminal YFP tag to its insert (Karimi et al., 2002), a modification that previous studies have shown to be tolerated (Ayaydin and Dasso, 2004). All three constructs expressed well and showed the expected nucleocytoplasmic fluorescence pattern when transiently expressed in protoplasts (Figure 5—figure supplement 2B). The three constructs were expressed in parallel in protoplasts alongside the YFP-HA negative control construct. As in the previous experiment, the protoplasts were subjected to YFP-Trap IP, and the samples were subsequently analyzed by immunoblotting. Remarkably, all three YFP-SUMO proteins were found to physically associate with Toc159, although YFP-SUMO3 clearly bound Toc159 with the greatest affinity (Figure 5B, Figure 5—figure supplement 3). Moreover, inspection of an extended exposure of the anti-YFP blot revealed a number of higher molecular weight bands that we interpret to be SUMO adducts and indicative of the functionality of the fusions (Figure 5—figure supplement 4). In contrast with the SUMO fusions, the YFP-HA negative control did not associate with Toc159, and none of the four YFP fusion proteins physically associated with Tic40, a negative control protein (Figure 5B).

The IP experiment described above identified SUMO3 as having the highest affinity for Toc159. To extend our analysis of SUMO3 to include another TOC protein, and to more rigorously investigate the possibility of TOC protein SUMOylation, the experiment was repeated with modifications, as follows. Protoplasts were co-transfected with YFP-SUMO3 and Toc33-HA, or YFP-HA and Toc33-HA; in each case, Toc33 was transiently overexpressed to aid detection of this component and its adducts. Upon co-expression of these construct pairs, the protoplast samples were subjected to YFP-Trap IP analysis, as described earlier. In accordance with the Toc159 result (Figure 5B), YFP-SUMO3, but not YFP-HA, was found to physically associate with Toc33-HA (Figure 5C). Moreover, bands of the exact expected molecular weight for Toc33-HA bearing one or two YFP-SUMO3 moieties (75 and 114 kDa) were also detected. These bands were accompanied by a high molecular weight smear at the top of the immunoblot, which is indicative of complex, multisite or chain SUMOylation.

Discussion

This work has revealed a genetic and molecular link between the SUMO system and the chloroplast protein import apparatus. The genetic experiments demonstrated that SUMO system mutations can suppress the phenotype of the Toc33 mutant, ppi1, while the molecular and biochemical experiments indicated that TOC proteins associate with key SUMO system proteins and are likely SUMOylated. Visible suppression effects observed in the ppi1 / SUMO system double mutants were linked to improvements in chloroplast development and enhanced accumulation of key TOC proteins. Thus, our results suggest that SUMOylation acts to destabilize the TOC complex, and that when such SUMOylation is perturbed the TOC proteins are stabilized. We interpret that TOC complexes containing Toc34, Toc75, and Toc159 accumulate at higher levels in ppi1 / SUMO system double mutants, and that this synthetically improves the double mutant phenotypes relative to the ppi1 control. Importantly, each core TOC protein, including all of those analyzed in this study, was predicted with high probability to have one or more SUMOylation sites (Table 1; Zhao et al., 2014; Beauclair et al., 2015).

Table 1
Bioinformatic analysis predicts that the core TOC proteins in Arabidopsis contain SUMOylation sites and small ubiquitin-like modifier (SUMO) interaction motifs.

The GPS-SUMO algorithm was applied to the amino acid sequences of Toc159, Toc132, Toc120, Toc90, Toc75, Toc33, and Toc34 using the ‘high stringency’ setting, and the results generated are shown in columns 2–4. ‘Consensus’ sites fall within canonical SUMO site motifs: ψ-K-X-E (where ψ indicates a hydrophobic amino acid, and X indicates any amino acid residue). ‘Non-consensus’ sites do not fall within canonical SUMO site motifs; analysis shows that ~40% of SUMOylation may occur at non-consensus sites (Zhao et al., 2014). ‘SUMO interaction’ sites are predicted to mediate the non-covalent interaction between proteins and SUMO peptides. The JASSA algorithm was also applied to the amino acid sequences using the ‘high cutoff’ setting (see column 5). aa denotes amino acids.

Protein name
(identifier and length)
Position (aa)p-ValueTypeAlso predicted by JASSA (high stringency)?
atToc159950.021ConsensusNo
(At4g02510)1060.034ConsensusYes
1503 aa1260.032ConsensusYes
1440.02ConsensusYes
1510.02ConsensusNo
246–2500.005SUMO interactionYes
408–4120.009SUMO interactionYes
486–4900.009SUMO interactionYes
4980.022ConsensusNo
5020.049Non-consensusNo
5390.026ConsensusNo
1,3000.049Non-consensusNo
1,3700.01ConsensusYes
atToc132300.006ConsensusYes
(At2g16640)660.036ConsensusYes
1206 aa3520.002ConsensusNo
8950.005ConsensusNo
10770.014ConsensusNo
atToc120520.008ConsensusNo
(At3g16620)570.031ConsensusNo
1084 aa2090.05Non-consensusNo
7770.006ConsensusNo
9590.013ConsensusNo
atToc901910.027ConsensusYes
(At5g20300)4810.017ConsensusNo
793 aa7110.02ConsensusNo
7860.042Non-consensusYes
atToc754340.049Non-consensusNo
(At3g46740)5130.029ConsensusNo
818 aa
atToc332910.044Non-consensusNo
(At1g02280)
297 aa
atToc342900.026ConsensusNo
(At5g05000)313 aa2980.043Non-consensusYes

The ppi1 suppression effects described here are remarkably similar to those mediated by the sp1 and sp2 mutations (Ling et al., 2012; Ling et al., 2019). Like sp1 and sp2, SUMO system mutations can partially suppress ppi1 with respect to chlorophyll concentration, TOC protein accumulation, and chloroplast development. This similarity suggests that SUMOylation may regulate the activity of the CHLORAD pathway. This is an attractive hypothesis as both SUMOylation and the CHLORAD pathway are activated by various forms of environmental stress (Kurepa et al., 2003; Ling and Jarvis, 2015; Ling et al., 2019). One possibility is that the SUMOylation of TOC proteins promotes their CHLORAD-mediated degradation. Indeed, as already noted, the ability to carry out SUMOylation is negatively correlated with the stability of TOC proteins in the context of the developed plants studied here. However, it should be kept in mind that SUMOylation can both promote and antagonize the effects of ubiquitination in different situations (Desterro et al., 1998; Ahner et al., 2013; Liebelt and Vertegaal, 2016); and so our results do not preclude the possibility that SUMOylation may have different consequences for chloroplast biogenesis in other contexts. The Toc159 receptor is regulated by SP1 when integrated into the outer envelope membrane (Ling et al., 2012; Ling et al., 2019), but by a different E3 ligase when it exists as a cytosolic precursor during the earliest stages of development before germination (Shanmugabalaji et al., 2018). Thus, regulation by SUMOylation might be similarly different in these two distinct developmental contexts.

The precise mechanisms underpinning the observed negative regulation of the TOC apparatus by SUMOylation are currently unknown. One possibility is that the SUMOylation of TOC proteins promotes their association with SP1. SUMOylation can modify protein-protein interactions, and some RING-type E3 ubiquitin ligases specifically recognize SUMOylated substrates (Sriramachandran and Dohmen, 2014). However, these SUMO-targeted ubiquitin ligases (STUbLs) typically contain SUMO-interacting motifs (SIMs), which guide the ligases to SUMO proteins conjugated to their substrates, and these are not apparent in SP1 (data not shown; Zhao et al., 2014). However, SP1 forms a complex with SP2 and very likely additional cofactors, and these could hypothetically provide a SUMO binding interface. Another possibility is that SUMOylation could be involved in the recruitment of Cdc48 from the cytosol. Two important Cdc48 cofactors are Ufd1 and Npl4, and the former contains a SIM, which can guide Cdc48 to SUMOylated proteins (Nie et al., 2012; Baek et al., 2013). Moreover, the SUMO-mediated recruitment of Cdc48 has important roles in the maintenance of genome stability in yeast (Bergink et al., 2013).

The biochemical experiments described in this article indicate that, of the three SUMO isoforms tested, SUMO3 binds TOC proteins with the highest affinity. However, there is an apparent incongruence between the results of these experiments and the results of the genetic experiments. While the sum1-1 and sum2-1 mutants were found to additively suppress ppi1, the sum3-1 mutant did not suppress ppi1. At face value, this seems puzzling; however, it can be explained by the relative abundance of the three SUMO proteins in planta. SUMO1 and SUMO2 are highly abundant relative to SUMO3, which is, at steady state, very weakly abundant (van den Burg et al., 2010). The IP data shown in Figure 5B indicated that SUMO1 and SUMO2 can weakly interact with Toc159, and so it is likely that these two isoforms can compensate for the loss of SUMO3 in the sum3-1 mutant. Although SUMO3 associates with TOC proteins with the highest affinity, the higher abundance of the other two SUMO proteins may facilitate such compensation. It is also noteworthy that, when overexpressed, SUMO3 accentuates the ppi1 phenotype to a far greater extent than does SUMO1.

It is now well established that the regulation of chloroplast protein import has critical roles in plant development and stress acclimation (Sowden et al., 2018; Watson et al., 2018). Here, we demonstrate regulatory crosstalk between the SUMO system and the chloroplast protein import machinery, and present results that are consistent with a model in which SUMOylation modulates the activity or effects of the CHLORAD pathway. The precise nature of the links between these two critically important control systems will be the subject of future investigation.

Materials and methods

Key resources table
Reagent type (species) or resourceDesignationSource or referenceIdentifiersAdditional information
Genetic reagent (Arabidopsis thaliana)Col-0NASCNASC (RRID:SCR_004576)
Genetic reagent (Arabidopsis thaliana)ppi1-1 (Col-0)NASCNASC_ID:N2107726
Genetic reagent (Arabidopsis thaliana)sce1-4 (Col-0)NASCNASC_ID:N506164
Genetic reagent (Arabidopsis thaliana)siz1-2 (Col-0)NASCNASC_ID:N6559
Genetic reagent (Arabidopsis thaliana)siz1-3 (Col-0)NASCNASC_ID:N6560
Genetic reagent (Arabidopsis thaliana)siz1-4 (Col-0)NASCNASC_ID:N862769
Genetic reagent (Arabidopsis thaliana)siz1-5 (Col-0)NASCNASC_ID:N611280
Genetic reagent (Arabidopsis thaliana)sum1-1 (Col-0)NASCNASC_ID:N872916
Genetic reagent (Arabidopsis thaliana)sum2-1 (Col-0)NASCNASC_ID:N629775
Genetic reagent (Arabidopsis thaliana)sum3-1 (Col-0)NASCNASC_ID:N623673
Genetic reagent (Arabidopsis thaliana)ppi1 SUMO1 OX #1Col-0This study
Genetic reagent (Arabidopsis thaliana)ppi1 SUMO1 OX #2Col-0This study
Genetic reagent (Arabidopsis thaliana)ppi1 SUMO3 OX #1Col-0This study
AntibodyAnti-SUMO1(rabbit polyclonal)AbcamAb5316WB (1:1000)
AntibodyAnti-Toc75-III(rabbit polyclonal)doi:10.1111/j.1365–313 X.2011.04551.xCustom-madeWB (1:500)
AntibodyAnti-Toc159(rabbit polyclonal)doi:10.1038/35003214Custom-madeWB (1:2500)
AntibodyAnti-Toc132(rabbit polyclonal)doi:10.1126/science.1225053Custom-madeWB (1:1000)
AntibodyAnti-Toc33(rabbit polyclonal)doi:10.1111/j.1365–313 X.2011.04551.xCustom-madeWB (1:1000)
AntibodyAnti-Tic110(rabbit polyclonal)doi:10.1111/j.1365–313 X.2010.04242.xCustom-madeWB (1:1000)
AntibodyAnti-Tic40(rabbit polyclonal)doi:10.1111/j.1365–313 X.2011.04551.xCustom-madeWB (1:10,000)
AntibodyAnti-GFP(rabbit polyclonal)SigmaSAB4301138WB (1:1000)
AntibodyGoat anti-rabbit IgG HRP(goat polyclonal)Sigma12-348WB (1:10,000)
AntibodyGoat anti-rabbit IgG alkaline phosphatase(goat polyclonal)SigmaA3687WB (1:10,000)
Recombinant DNA reagentpSAT4(A)-nEYFP-N1doi:10.1007/s11103-005-0340-5doi:10.1016/j.jmb.2006.08.017Kind gift from the Gelvin lab (Purdue University)
Recombinant DNA reagentpSAT4-cEYFP-C1-Bdoi:10.1007/s11103-005-0340-5doi:10.1016/j.jmb.2006.08.017Kind gift from the Gelvin lab (Purdue University)
Recombinant DNA reagentpSAT4(A)-cEYFP-N1doi:10.1007/s11103-005-0340-5doi:10.1016/j.jmb.2006.08.017Kind gift from the Gelvin lab (Purdue University)
Recombinant DNA reagentpDONR201InvitrogenRRID:Addgene#2392
Recombinant DNA reagentpDONR207InvitrogenRRID:Addgene#2393
Recombinant DNA reagentpH2GW7doi:10.1016/s1360-1385 (02)02251–3doi:10.1016/j.tplants.2005.01.008VIB-UGent Center for Plant Systems Biology
Recombinant DNA reagentp2GWY7doi:10.1016/s1360-1385 (02)02251–3doi: 10.1016/j.tplants.2005.01.008VIB-UGent Center for Plant Systems Biology
Recombinant DNA reagentp2YGW7doi:10.1016/s1360-1385 (02)02251–3doi:10.1016/j.tplants.2005.01.008VIB-UGent Center for Plant Systems Biology
Chemical compound, drugN-ethylmaleimideMerckE3876
Software, algorithmGPS-SUMOhttp://sumosp.biocuckoo.org/online.php
Software, algorithmJASSAhttp://www.jassa.fr/index.php

Plant material and growth conditions

Request a detailed protocol

All Arabidopsis thaliana plants used in this work were of the Columbia-0 (Col-0) ecotype. The mutants used in most of the analyses (ppi1, sce1-4, sum1-1, sum2-1, sum3-1, hsp93-V-I, tic40-4) have been described previously (Jarvis et al., 1998; Kovacheva et al., 2005; Saracco et al., 2007; van den Burg et al., 2010). The siz1-4 (SAIL_805_A10) and siz1-5 (SALK_111280) mutants were obtained from the Salk Institute Genomic Analysis Laboratory (SIGnAL) (Alonso et al., 2003) via the Nottingham Arabidopsis Stock Centre (NASC). Each line was verified via PCR genotyping (see Table 2 for primer sequences) and phenotypic analysis (including the double and triple mutants). The positions of the T-DNA insertions were mapped via PCR. The following primer pairs were used to generate diagnostic amplicons from genomic DNA: LB1 and Siz1-Seq-1R (for mapping siz1-4), and LBb1 and Siz1-Seq-3R (for mapping siz1-5) (see Table 2D and E). The amplicons were sequenced and the positions of the T-DNA insertions inferred from the sequence data.

Table 2
Primers used during the course of this study.
(A)Primers used in restriction cloning procedures
Primer nameSequenceUsed to generate
SCE1 F(HindIII)AAAAGCTTATGGCTAGTGGAATCGCTCpSAT4(A)-nEYFP-N1 SCE1
SCE1 R(EcoRI)AAGAATTCGACAAGAGCAGGATACTGCTTGpSAT4(A)-nEYFP-N1 SCE1
Toc159-5 F (EcoRI)AAGAATTCAATGGACTCAAAGTCGGTTpSAT4-cEYFP-C1-B Toc159
Toc132-5 F (XhoI)AACTCGAGCTATG GGAGATGGGACTGAGpSAT4-cEYFP-C1-B Toc159
Toc132-3 R (SmaI)AACCCGGGTCATTGTCCATATTGCGTpSAT4-cEYFP-C1-B Toc132
Toc33-5 F (HindIII)AGAAGCTTCGATGGGGTCTCTCGTTCGTpSAT4-cEYFP-C1-B Toc132
Toc33-3 R (XbaI)AATCTAGATTAAAGTGGCTTTCCACTpSAT4-cEYFP-C1-B Toc33
Toc34-5 F (HindIII)AGAAGCTTCGATGGCAGCTTTGCAAACGpSAT4-cEYFP-C1-B Toc34
Toc34-3 R (XbaI)AATCTAGATCAAGACCTTCGACTTGCpSAT4-cEYFP-C1-B Toc34
OEP7 F (XhoI)CTCGAGATGGGAAAAACTTCGGGApSAT4(A)-cEYFP-N1 ΔOEP7
OEP7-35 R (KpnI)GGTACCGGAATTTATCGAGGAAAGGpSAT4(A)-cEYFP-N1 ΔOEP7
(B)Primers used in Gateway cloning procedures
SCE1 Gateway FGGGGACAAGTTTGTACAAAAAAGCAGGCTCCATGGCTAGTGGAATCGCTCp2GWY7 SCE1
SCE1 Gateway RGGGGACCACTTTGTACAAGAAAGCTGGGTTGACAAGAGCAGGATACTGCp2GWY7 SCE1
SUMO1 Gateway FGGGGACAAGTTTGTACAAAAAAGCAGGCTCCTCTGCAAACCAGGAGGAAGACAAGp2YGW7 SUMO1
SUMO1 Gateway RGGGGACCACTTTGTACAAGAAAGCTGGGTTTCAGGCCGTAGCACCACCp2YGWYSUMO1
SUMO2 Gateway FGGGGACAAGTTTGTACAAAAAAGCAGGCTCCTCTGCTACTCCGGAAGAAGACp2YGW7 SUMO2
SUMO2 Gateway RGGGGACCACTTTGTACAAGAAAGCTGGGTTCTAAAAGCAGAAGAGCTTCAGGCCp2YGW7 SUMO2
SUMO3 Gateway FGSGGGACAAGTTTGTACAAAAAAGCAGGCTCCTCTAACCCTCAAGATGACAAGCCCp2YGW7SUMO3
SUMO3 Gateway RGGGGACCACTTTGTACAAGAAAGCTGGGTTTTAAAGCCCATTATGATCGAAAAGCp2YGW7SUMO3
(C)Primers used in RT-PCR experiments
SUMO1 F(2)AAAAAGCAGGCTCCACAAAAGCCACGGCCAATTAGSUMO1
SUMO1 R(2)AGAAAGCTGGGTTCCATTCATATCACACACAAGCCCSUMO1
SUMO3 FACAGACTGGAGTTTTTGTTTCSUMO3
SUMO3 RCTCATGAGTCATTTACACACACGSUMO3
eIF4E1 FAAGATTTGAGAGGTTTCAAGCGGTGTAAGeIF4E1
eIF4E1 RAAACAATGGCGGTAGAAGACACTCeIF4E1
Siz1-HindIII-FAAAAGCTTATGGATTTGGAAGCTAATTGTAAGSIZ1 (for siz1-4)
Siz1-seq-1RTCTGCATTGTGCTTGCACSIZ1 (for siz1-4)
Siz1-FGGATTATCTTCCAGTAATAGGCAAGSIZ1 (for siz1-5)
Siz1-RCCCGACTGAGCTGAAGCATCSIZ1 (for siz1-5)
(D)Primers used to genotype mutants
Primer nameSequenceUsed to genotype…
SUMO1 F(2)AAAAAGCAGGCTCCACAAAAGCCACGGCCAATTAGsum1-1
SUMO1 R(2)AGAAAGCTGGGTTCCATTCATATCACACACAAGCCCsum1-1
SUMO2 FCGTTGTTGGTACTTGGTTGGsum2-1
SUMO2 RCAAAACTCTAAACTGGTCGGsum2-1
SUMO3 FACAGACTGGAGTTTTTGTTTCsum3-1
SUMO3 RCTCATGAGTCATTTACACACACGsum3-1
SCE1 FCGCCGCGAAATCTGGACCsce1-4
SCE1 RTTCCTCTCTTCAGCTAAACGsce1-4
SIZ1 F(2)GCAAACAGGGAAAGAAGCAGGsiz1-4
SIZ1 R(2)CATTGAGTCTGTTTCTAGCGsiz1-4
LBb1GCGTGGACCGCTTGCTGCAACTSALK lines (left border)
LB1GCCTTTTCAGAAATGGATAAATAGCCTTGCTTCCSAIL lines (left border)
(E)Primers used to map thesiz1-4andsiz1-5T-DNA insertions
Primer nameSequenceUsed to map …
Siz1-Seq-1RTCTGCATTGTGCTTGCACsiz1-4 T-DNA insertion
Siz1-Seq-3RTGACAACCACTGTATGCAGGsiz1-5 T-DNA insertion
  1. Underlining indicates restriction sites (A and C), or attB1 and attB2 recombination sequences (B).

In most experiments, plants were grown on soil (80% [v/v] compost [Levington M2], 20% [v/v] vermiculite [Sinclair Pro, medium particle size]). However, where plants were grown for selection of transformants or for chloroplast isolation, seeds were surface sterilized and sown on petri plates containing Murashige–Skoog (MS) agar medium. The plates were stored at 4°C for 48 hr before being transferred to a growth chamber. Both soil-grown and plate-grown plants were kept in a growth chamber (Percival Scientific) under long-day conditions (16 hr light, 8 hr dark). The light intensity was approximately 120 µE m–2 s–1, the temperature was held constant at 20°C, and the humidity was held constant at approximately 60% (relative humidity).

Chlorophyll measurements

Request a detailed protocol

Chlorophyll measurements were taken from mature rosette leaves in each instance. A handheld Konica-Minolta SPAD-502 meter was used to take each measurement, and the raw values were converted into chlorophyll concentration values (nmol/mg tissue) via published calibration equations (Ling et al., 2011).

Chloroplast isolation and protein extraction

Request a detailed protocol

Chloroplasts were isolated from 14-day-old, plate-grown seedlings as described previously (Flores-Pérez and Jarvis, 2017). Some of the seedlings were heat-shocked immediately prior to chloroplast isolation. To do this, the plates containing the seedlings were wrapped in clingfilm and placed into a water bath (42°C for 1 hr, followed by a 1 hr recovery period at 22°C). Protein samples were prepared from the isolated chloroplasts by extraction using SDS-PAGE sample buffer, as well as from whole 14-day-old seedlings as previously described (Kovacheva et al., 2005). In some cases, the samples were treated with 10 mM NEM (Hilgarth and Sarge, 2005); this was added directly to the protein extraction buffer (whole seedling samples) or to the chloroplast isolation buffer following polytron homogenization and all subsequent buffers (chloroplast samples).

Plasmid constructs

Request a detailed protocol

The constructs used in the BiFC experiments were generated as follows. The coding sequences of SCE1, SIZ1, TOC159, TOC132, TOC34, and TOC33 were PCR amplified from wild-type cDNA (see Table 2 for primer sequences). In the case of ΔOEP7, the first 105 base pairs of the OEP7 coding sequence were amplified; this encodes a truncated sequence, which is sufficient to efficiently target the full-length YFP protein to the chloroplast outer envelope membrane (Lee et al., 2001). The inserts were cloned into one of the following complementary vectors: pSAT4(A)-cEYFP-N1 (SCE1), pSAT4-nEYFP-C1 (TOC159, TOC132, TOC34, TOC33), or pSAT4(A)-nEYFP-N1 (ΔOEP7), which were described previously (Tzfira et al., 2005; Citovsky et al., 2006).

The constructs used in the IP experiments were generated as follows. The coding sequences of SCE1, SUMO1, SUMO2, and SUMO3 were PCR amplified from wild-type cDNA using primers bearing 5′ attB1 and attB2 adaptor sequences (see Table 2 for primer sequences). The amplicons were then cloned into pDONR207 (Invitrogen), a Gateway entry vector. The inserts from the resulting entry clones were then transferred to one of two destination vectors: p2GWY7 (SCE1) or p2YGW7 (SUMO1, SUMO2, SUMO3); the former appends a C-terminal YFP tag to its insert, and the latter appends an N-terminal YFP tag to its insert (Karimi et al., 2002; Karimi et al., 2005). The Toc33-HA and YFP-HA constructs have been described previously (Ling et al., 2019).

The constructs used to generate transgenic plants were generated as follows. The coding sequences of SUMO1 and SUMO3 were PCR amplified from wild-type cDNA using primers bearing 5′ attB1 and attB2 adaptor sequences (see Table 2 for primer sequences). The inserts were then cloned into pDONR201 (Invitrogen), a Gateway entry vector. The inserts from the resulting entry clones were then transferred to the pH2GW7 binary destination vector (Karimi et al., 2002; Karimi et al., 2005).

Transient expression assays

Request a detailed protocol

Protoplasts were isolated from mature rosette leaves of wild-type Arabidopsis plants and transfected in accordance with an established method (Wu et al., 2009; Ling et al., 2012). In the BiFC experiments, 100 µL protoplast suspension (containing approximately 105 protoplasts) was transfected with 5 µg plasmid DNA; in the IP experiments, 600 µL protoplast suspension (containing approximately 6 × 105 protoplasts) was transfected with 30 µg plasmid DNA. In both cases, the samples were analyzed after 15–18 hr.

Stable plant transformation

Request a detailed protocol

Transgenic lines carrying the SUMO1 OX or SUMO3 OX constructs were generated via Agrobacterium-mediated floral dip transformation (Clough and Bent, 1998). Transformed plants (T1 generation) were selected on MS medium containing phosphinothricin. Multiple T2 families were analyzed in each case, and lines bearing a single T-DNA insertion were taken forward for further analysis. Transgene expression was analyzed by semi-quantitative RT-PCR as described previously (Kasmati et al., 2011; see Table 2 for primer sequences).

Transmission electron microscopy

Request a detailed protocol

Transmission electron micrographs were recorded using mature rosette leaves as previously described (Huang et al., 2011). Images were taken from three biological replicates (different leaves from different individual plants), and at least 10 images were taken per replicate. The images were analyzed using ImageJ (Schneider et al., 2012). The freehand tool was used to measure the plan area of the chloroplasts. For this, between 9 and 28 chloroplasts were analyzed for each biological replicate (i.e., for each plant), and then an average value for each replicate was calculated and used for statistical comparisons. The analysis of chloroplast ultrastructure was performed as in previous work (Huang et al., 2011). For this, between 3 and 8 chloroplasts were analyzed per biological replicate, and the data were processed as above.

BiFC experiments

Request a detailed protocol

The BiFC experiments were carried out as described previously (Ling et al., 2019). Protoplasts were co-transfected with two constructs encoding fusion proteins bearing complementary fragments of the YFP protein (nYFP and cYFP; Citovsky et al., 2006). After transfection and overnight incubation, the protoplasts were imaged using a Leica TCS SP5 laser scanning confocal microscope equipped with a Leica HC Plan Apochromat CS2 63.0× UV water immersion lens with a numerical aperture (N.A.) of 1.2. YFP was excited with an argon-ion laser at 514 nm, selected using an acousto-optic tuneable filter (AOTF), and was detected using a 525–600 nm bandpass filter and a photomultiplier. Chlorophyll fluorescence was simultaneously excited with 514 nm excitation and detected with a 680–700 nm bandpass filter using a photomultiplier. Images were collected in 8-bit resolution with the pinhole set at 111.5 µm (1 Airy Unit), using 16-line averaging and a scan speed of 400 Hz. The image size was 512 × 512 pixels, with an (x,y) pixel size of 0.239 µm. Images were processed in the Leica Application Suite (LAS) software.

Immunoblotting and immunoprecipitation

Request a detailed protocol

Protein extraction and immunoblotting were performed as described previously (Kovacheva et al., 2005). Total protein samples were extracted from 50 mg of intact, pooled seedlings after 2 weeks of growth. To detect proteins, we used an anti-SUMO1 antibody (Ab5316, Abcam), an anti-Toc75-III antibody (Kasmati et al., 2011), an anti-Toc159 antibody (Bauer et al., 2000), an anti-Toc132 antibody (Ling et al., 2012), an anti-Toc33 antibody (Kasmati et al., 2011), an anti-Tic110 antibody (Aronsson et al., 2010), an anti-Tic40 antibody (Kasmati et al., 2011), and an anti-green fluorescent protein antibody (Sigma, SAB4301138). In most cases, the secondary antibody used was goat anti-rabbit immunoglobulin G (IgG) conjugated with horseradish peroxidase (Sigma, 12-348); and protein bands were visualized via chemiluminescence using an ECL Plus western blotting detection kit (GE Healthcare) and an LAS-4000 imager (GE Healthcare). However, in the case of Figure 5—figure supplement 1, the secondary antibody was goat anti-rabbit IgG conjugated with alkaline phosphatase (Sigma, A3687), and the membrane was incubated with BCIP/NBT chromogenic substrate (Sigma, B3679).

The IP experiments were carried out as described previously (Ling et al., 2019). Constructs encoding YFP-conjugated fusion proteins (YFP-HA, SCE1-YFP, YFP-SUMO1, YFP-SUMO2, YFP-SUMO3) were transiently expressed in protoplasts. In some cases, the constructs were co-expressed with a construct encoding Toc33-HA. The protoplasts were solubilized using IP buffer containing 1% Triton X-100, and the resulting lysates were incubated with GFP-Trap beads (Chromotek). After four washes in IP buffer, the protein samples were eluted by boiling in SDS-PAGE loading buffer, and then analyzed by immunoblotting.

Statistical analysis

Request a detailed protocol

The data from each experiment were analyzed in R. In most cases, two-tailed t-tests were performed. However, in one case, a one-way ANOVA was performed in conjunction with a Tukey HSD test (as indicated in the figure legend). The figures are annotated to indicate the level of significance, as follows: ns: not significant; *p<0.05; **p<0.01; ***p<0.001; ****p<0.0001; *****p<0.00001.

SUMO site prediction

Request a detailed protocol

The amino acid sequences of Toc159, Toc132, Toc120, Toc90, Toc75, Toc33, and Toc34 were retrieved from The Arabidopsis Information Resource (TAIR) website (Berardini et al., 2015). The GPS-SUMO algorithm was applied to all seven sequences (http://sumosp.biocuckoo.org/online.php; Zhao et al., 2014). The ‘high stringency’ setting was applied. The p-values were generated by the GPS-SUMO algorithm, and hits that were accompanied by p-values exceeding >0.05 were manually removed. The JASSA algorithm was also applied to all seven amino acid sequences (http://www.jassa.fr/index.php; Beauclair et al., 2015). In this case, the ‘high cutoff’ setting was applied. The GPS-SUMO and JASSA algorithms use fundamentally different methodologies (Chang et al., 2018).

Data availability

All data generated or analysed during this study are included in the manuscript and supporting files.

References

    1. Miura K
    2. Rus A
    3. Sharkhuu A
    4. Yokoi S
    5. Karthikeyan AS
    6. Raghothama KG
    7. Back D
    8. Koo YD
    9. Jin JB
    10. Bressan RA
    11. Yun DJ
    12. Hasegawa PM
    (2005)
    The Arabidopsis SUMO E3 ligase SIZ1 controls phosphate deficiency responses
    PNAS 102:9732–9734.

Article and author information

Author details

  1. Samuel James Watson

    Department of Plant Sciences, University of Oxford, Oxford, United Kingdom
    Present address
    Cambridge Institute for Therapeutic Immunology and Infectious Disease, Jeffrey Cheah Biomedical Centre, University of Cambridge, Cambridge, United Kingdom
    Contribution
    Investigation, Methodology, Writing – original draft
    Competing interests
    No competing interests declared
  2. Na Li

    Department of Plant Sciences, University of Oxford, Oxford, United Kingdom
    Contribution
    Investigation
    Competing interests
    No competing interests declared
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0002-3733-3373
  3. Yiting Ye

    National Key Laboratory of Plant Molecular Genetics, CAS Centre for Excellence in Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, China
    Contribution
    Investigation
    Competing interests
    No competing interests declared
  4. Feijie Wu

    1. National Key Laboratory of Plant Molecular Genetics, CAS Centre for Excellence in Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, China
    2. Department of Biology, University of Leicester, Leicester, United Kingdom
    Contribution
    Conceptualization, Investigation, Methodology
    Competing interests
    No competing interests declared
  5. Qihua Ling

    1. Department of Plant Sciences, University of Oxford, Oxford, United Kingdom
    2. National Key Laboratory of Plant Molecular Genetics, CAS Centre for Excellence in Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, China
    3. Department of Biology, University of Leicester, Leicester, United Kingdom
    Contribution
    Conceptualization, Funding acquisition, Investigation, Methodology, Supervision, Writing – review and editing
    Competing interests
    No competing interests declared
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0002-6984-9921
  6. R Paul Jarvis

    1. Department of Plant Sciences, University of Oxford, Oxford, United Kingdom
    2. Department of Biology, University of Leicester, Leicester, United Kingdom
    Contribution
    Conceptualization, Funding acquisition, Investigation, Supervision, Writing – review and editing
    For correspondence
    paul.jarvis@plants.ox.ac.uk
    Competing interests
    The application of CHLORAD as a technology for crop improvement is covered by a patent application (no. WO2019/171091 A).
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0003-2127-5671

Funding

Biotechnology and Biological Sciences Research Council (BB/K018442/1 BB/N006372/1 BB/R016984/1 BB/R009333/1)

  • R Paul Jarvis

Biotechnology and Biological Sciences Research Council (Interdisciplinary Bioscience Doctoral Training Partnership)

  • Samuel Watson

The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.

Acknowledgements

We are very grateful to Alistair Haslam for initiating the genetic experiments. We also thank Dr Errin Johnson and Raman Dhaliwal (Dunn School of Pathology, University of Oxford) for assistance with the electron microscopy, and Professor Jane Langdale for advice during the course of the work. We are grateful to Pedro Bota and Rita Ross for technical support. This work was supported by the Oxford Interdisciplinary Bioscience Doctoral Training Partnership (DTP), and by grants from the Biotechnology and Biological Sciences Research Council (BBSRC) (grant numbers BB/K018442/1, BB/N006372/1, BB/R016984/1, and BB/R009333/1) to RPJ.

Copyright

© 2021, Watson 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.

Metrics

  • 2,174
    views
  • 399
    downloads
  • 15
    citations

Views, downloads and citations are aggregated across all versions of this paper published by eLife.

Download links

A two-part list of links to download the article, or parts of the article, in various formats.

Downloads (link to download the article as PDF)

Open citations (links to open the citations from this article in various online reference manager services)

Cite this article (links to download the citations from this article in formats compatible with various reference manager tools)

  1. Samuel James Watson
  2. Na Li
  3. Yiting Ye
  4. Feijie Wu
  5. Qihua Ling
  6. R Paul Jarvis
(2021)
Crosstalk between the chloroplast protein import and SUMO systems revealed through genetic and molecular investigation in Arabidopsis
eLife 10:e60960.
https://doi.org/10.7554/eLife.60960

Share this article

https://doi.org/10.7554/eLife.60960

Further reading

    1. Cell Biology
    Surya Bansi Singh, Shatruhan Singh Rajput ... Deepa Subramanyam
    Research Article Updated

    Aggregation of mutant forms of Huntingtin is the underlying feature of neurodegeneration observed in Huntington’s disorder. In addition to neurons, cellular processes in non-neuronal cell types are also shown to be affected. Cells expressing neurodegeneration–associated mutant proteins show altered uptake of ligands, suggestive of impaired endocytosis, in a manner as yet unknown. Using live cell imaging, we show that clathrin-mediated endocytosis (CME) is affected in Drosophila hemocytes and mammalian cells containing Huntingtin aggregates. This is also accompanied by alterations in the organization of the actin cytoskeleton resulting in increased cellular stiffness. Further, we find that Huntingtin aggregates sequester actin and actin-modifying proteins. Overexpression of Hip1 or Arp3 (actin-interacting proteins) could restore CME and cellular stiffness in cells containing Huntingtin aggregates. Neurodegeneration driven by pathogenic Huntingtin was also rescued upon overexpression of either Hip1 or Arp3 in Drosophila. Examination of other pathogenic aggregates revealed that TDP-43 also displayed defective CME, altered actin organization and increased stiffness, similar to pathogenic Huntingtin. Together, our results point to an intimate connection between dysfunctional CME, actin misorganization and increased cellular stiffness caused by alteration in the local intracellular environment by pathogenic aggregates.

    1. Cell Biology
    2. Neuroscience
    Luis Sánchez-Guardado, Peyman Callejas Razavi ... Carlos Lois
    Research Article

    The assembly and maintenance of neural circuits is crucial for proper brain function. Although the assembly of brain circuits has been extensively studied, much less is understood about the mechanisms controlling their maintenance as animals mature. In the olfactory system, the axons of olfactory sensory neurons (OSNs) expressing the same odor receptor converge into discrete synaptic structures of the olfactory bulb (OB) called glomeruli, forming a stereotypic odor map. The OB projection neurons, called mitral and tufted cells (M/Ts), have a single dendrite that branches into a single glomerulus, where they make synapses with OSNs. We used a genetic method to progressively eliminate the vast majority of M/T cells in early postnatal mice, and observed that the assembly of the OB bulb circuits proceeded normally. However, as the animals became adults the apical dendrite of remaining M/Ts grew multiple branches that innervated several glomeruli, and OSNs expressing single odor receptors projected their axons into multiple glomeruli, disrupting the olfactory sensory map. Moreover, ablating the M/Ts in adult animals also resulted in similar structural changes in the projections of remaining M/Ts and axons from OSNs. Interestingly, the ability of these mice to detect odors was relatively preserved despite only having 1–5% of projection neurons transmitting odorant information to the brain, and having highly disrupted circuits in the OB. These results indicate that a reduced number of projection neurons does not affect the normal assembly of the olfactory circuit, but induces structural instability of the olfactory circuitry of adult animals.