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Article Addendum

Mass spectrometric identification of SUMO substrates provides insights into heat stress-induced SUMOylation in plants

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Pages 130-133 | Received 21 Nov 2010, Accepted 21 Nov 2010, Published online: 01 Jan 2011

Abstract

The covalent addition of Small Ubiquitin-Related Modifier (SUMO) to various intracellular proteins is an essential regulatory step in most eukaryotes. Due to its necessity and the large number of putative targets, SUMO is thought to be second only to ubiquitin (Ub) among Ub-fold proteins in terms of regulatory influence. Whereas, ubiquitylation (i.e., the attachment of Ub) is generally associated with protein degradation, SUMOylation appears to have more diverse consequences, including the regulation of transcription, chromatin structure/accessibility, nuclear import, and various protein-protein interactions, and even appears to block the action of Ub by competing for the same binding sites on targets.1-3 Paramount to understanding SUMO function(s) is knowing the complete catalog of SUMO targets. In the following addendum we review our recent publication4 describing the proteomic identification of SUMO substrates in the model plant, Arabidopsis thaliana, and expand our analyses with regard to the changes in SUMOylation patterns that are induced by heat stress. Collectively, our data indicate that SUMOylation is highly dynamic with evidence that SUMO addition globally modifies transcription and chromatin accessibility, especially during stress.

This article refers to:

SUMOylation of accessible lysines on target proteins is mediated by a sequential three-enzyme conjugation pathway, which in plants is comprised of an E1 activating enzyme heterodimer (SAE1a or b combined with SAE2), a single E2 conjugating enzyme (SCE1), and at least two E3 ligases (SIZ1 and MMS21/HPY2).Citation5Citation8 Often but not always, SUMO becomes bound within a SUMO-acceptor motif—ΨKxE, where Ψ is a large hydrophobic residue, K is the modified lysine, x is any residue and E is a glutamic acid.Citation9,Citation10 In plants, the SUMO pathway is essential,Citation11 and has been shown genetically to control multiple cellular processes, including the response to various stresses, cell division, flowering time, pathogen defense and signaling by the hormones ABA and salicylic acid.Citation1,Citation7,Citation12,Citation13 Of special interest are the observations that various abiotic stresses induce a substantial and reversible rise in SUMO1/2 conjugates, presumably as a way to protect plants from environmental insults.Citation5,Citation11,Citation14,Citation15

Prior to our proteomic analyses, only a few SUMO substrates were described in plants (e.g., ABI5, PHR1, ICE1 and FLDCitation1,Citation12). To expand this list, we took a proteomic approach, similar to those using yeast and mammalian cell cultures,Citation16,Citation17 to identify SUMO substrates both before and during stress. Key to our success was the creation of an Arabidopsis line in which the essential SUMO1/2 isoforms were replaced with a tagged variant (6His-SUMO1-H89R) designed for faithful rescue, stringent purification, and the ability to more easily map SUMO attachment sites by mass spectrometry (MS).Citation4 SUMO conjugates were then purified from these 6His-SUMO1-H89R sum1-1 sum2-1 plants by a three-step affinity procedure that employed strong denaturants (8 M urea/7 M guanidine HCl) to minimize contaminants and proteins that bind non-covalently to SUMO or to SUMOylated proteins. The enriched samples from non-stressed plants or plants subjected to heat or oxidative stress were then analyzed by tandem MS to identify SUMO substrates generated in planta.

In total, we identified 357 high probability SUMO substrates in Arabidopsis, which upon inspection provide a number of important insights into SUMO functions in plants.Citation4 First, in agreement with cell fractionation studies,Citation11 most of the SUMO substrates identified reside in the nucleus. Consistent with this location, many are known or predicted to regulate nuclear activities, including roles in transcription, chromatin remodeling, DNA/RNA modifications, DNA repair and nuclear pore shuttling. Second, many of these Arabidopsis targets overlap with those identified in yeast and metazoans with the list similarly enriched for protiens harboring domains common among DNA/RNA interactors and chromatin modifiers.Citation16 This connection strongly suggests that SUMOylation modifies a conserved set of targets and their associated processes in eukaryotes. Third, the SUMO pathway itself is a main target of SUMOylation, which may have important regulatory consequences.Citation18,Citation19 The detection of SUMO footprints on SUMO1 also unequivocally demonstrates that poly-SUMO chains are assembled in plants. Fourth, we found that the Arabidopsis conjugation machinery likely uses the same SUMO-acceptor sites as in other eukaryotes.Citation9,Citation10 Our substrate list was similarly enriched for proteins with predicted ΨKxE motifs. And for sites mapped via our engineered SUMO MS footprint, ∼60% conformed to the ΨKxE sequence.Citation4 Sequences surrounding the remaining SUMO acceptors sites were highly divergent, indicating that a variety of other recognition motifs are possible. And fifth, our detection of proteins that are both SUMOylated and ubiquitylated revealed an intriguing crosstalk between the SUMO and Ub pathways as has been seen in other eukaryotes.Citation20Citation22 These SUMO+Ub-modified proteins dramatically increase upon heat stress, with our mapping studies suggesting that some Ubs are directly attached to the SUMO moieties.Citation4 An intriguing possibility is that this Ub addition directs the degradation of a subset of SUMOylated proteins with the SUMO moiety providing the signal for ubiquitylation.

Arabidopsis like other eukaryotes examined,Citation16,Citation23,Citation24 dramatically and reversibly increase the levels of SUMOylated proteins upon various abiotic stresses.Citation4,Citation5,Citation11 This increase involves the SUMO1/2 isoforms specifically and requires the SIZ1 E3,Citation11 which may explain the pleiotropic phenotype of siz1 null mutants and their sensitivity to stress.Citation8,Citation11,Citation12,Citation14,Citation25 One goal of our study was to identify the changes in Arabidopsis SUMOylation patterns during heat stress. As can be seen in , a 37°C heat stress for 30 minutes increases the level of SUMO1/2 conjugates by 3 fold (measure 30 minutes later at the peak), which is paralleled by a commensurate drop in the level of free SUMO1/2.

Semi-quantitative analysis of individual SUMO conjugates indicates that heat stress can dynamically affect their levels. Here, we compared the spectral counts obtained from MS precursor scans of specific peptides from non-stressed and heat-stressed seedling, which were normalized by the number of total spectral counts. In total, the analyses combined datasets from five independent MS experiments (three heat-stress and two non-stress datasets). Given the likely role of SUMO in regulating transcription,Citation26 we expected to see a significant over-representation of transcription factors and chromatin remolding complexes in the heat-stress versus nonstress datasets. Surprisingly, most transcription factors, including some HSFs were present in both. However, a few were significantly increased upon heat stress. For example, the TOPLESS (TPL) and SEUSS (SEU) corepressors and several components of the SWI/SNF chromatin modification complex (PICKLE, SWI3C and CHR11), which have important regulatory roles in plant development,Citation27,Citation28 were substantially more SUMOylated during heat stress than expected (). We also discovered a collection of DNA repair components that were over-represented in the heat-stress MS datasets. Of the 12 SUMO targets we detected that have been directly or indirectly connected to DNA repair, seven were found exclusively in the heat-stress dataset (LIG1, DRT111, POLD3, RPA1a, RFC1, ATTRP1 and RPA70d) and another (KU80) had substantially higher spectral counts than the average after heat stress (). It is worth noting that despite a global increase in SUMOylation during heat stress, the SUMOylation levels of some targets decreased (e.g., histone H2b, SUVH9 and ANACO51) (). The underpinning mechanism(s) behind the changes in SUMOylation patterns remains to be determined. Increased SUMOylation of specific targets could be driven by activation of the SUMO conjugation machinery and/or inhibition of the de-SUMOylation machinery, whereas decreased SUMOylation could be driven by inverse changes as well as by conjugate breakdown as is possible for SUMO+Ub conjugates.

Finally, our data identify a potentially interesting autoregulatory loop within the SUMO pathway itself. Whereas the SUMOylation status of the SAE2 E1 subunit and the SCE1 E2 decreases during heat stress, the SUMOylation status of the SIZ1 E3 rises substantially (). Given the observation that the target preference of the mammalian SCE1 ortholog—UBC9 can be dramatically altered by SUMOylation,Citation19 it is possible that this auto-SUMOyation of the Arabidopsis E1-E2-E3 cascade represents a mechanism to alter the profile of SUMO addition during plant stress.

In conclusion, our proteomic studies revealed that SUMOyation is a remarkably dynamic process that affects a wide range of nuclear targets in Arabidopsis. Its ability to modify many components important for transcription and chromatin assembly suggests that it represents an important epigenetic mark to globally affect gene expression and chromatin stability. Moreover, our discovery of proteins containing both SUMO and Ub identifies an intriguing interplay between these two post-translational modifiers. Certainly, a more complete understanding of the dynamics of SUMOylation, especially during stress, will be essential to fully understand the exact role(s) of SUMO. While MS spectra counts can provided a rudimentary picture, more quantitative MS methods will be needed to better clarify the role of stress-induced SUMOylation on specific substrates.

Figures and Tables

Figure 1 Effect of heat stress on the levels of free SUMO and SUMO conjugates in Arabidopsis. (A) Profile of SUMO conjugates in seedlings before and after heat stress. Seven-day-old seedlings were grown at 24°C, exposed to 37°C for 30 min, and then returned to 24°C for 30 min before harvest. Crude protein extracts were subjected to SDS-PAGE and immunoblot analysis with anti-SUMO1 antibodies. Levels of the proteasome subunit PBA1 were used to confirm equal loading. HS, heat-stressed seedlings. RT, seedlings not exposed to heat stress. (B) Quantification of high molecular mass SUMO conjugates and free SUMO. Levels of each fraction were quantified by densitometric scanning of the immunoblot membranes probed with anti-SUMO1 antibodies. Error bars represent the standard deviation of three independent heat-stress experiments.

Figure 1 Effect of heat stress on the levels of free SUMO and SUMO conjugates in Arabidopsis. (A) Profile of SUMO conjugates in seedlings before and after heat stress. Seven-day-old seedlings were grown at 24°C, exposed to 37°C for 30 min, and then returned to 24°C for 30 min before harvest. Crude protein extracts were subjected to SDS-PAGE and immunoblot analysis with anti-SUMO1 antibodies. Levels of the proteasome subunit PBA1 were used to confirm equal loading. HS, heat-stressed seedlings. RT, seedlings not exposed to heat stress. (B) Quantification of high molecular mass SUMO conjugates and free SUMO. Levels of each fraction were quantified by densitometric scanning of the immunoblot membranes probed with anti-SUMO1 antibodies. Error bars represent the standard deviation of three independent heat-stress experiments.

Figure 2 Effect of heat stress on the SUMOylation levels of representative Arabidopsis targets. Seven-day-old seedlings were subjected to heat stress as in . HS, heat-stressed seedlings. RT, seedlings not exposed to heat stress. Levels of each protein in the RT and HS MS datasets were estimated by the number of spectral counts in the MS precursor scans that were obtained for each target; these numbers were then normalized by the total number of spectral counts for each MS run. (A) SUMOylated transcription and DNA repair components that increase in abundance during heat stress. (B) SUMOylated proteins that decrease in abundance during heat stress. (C) Members of the SUMO conjugation pathway.

Figure 2 Effect of heat stress on the SUMOylation levels of representative Arabidopsis targets. Seven-day-old seedlings were subjected to heat stress as in Figure 1. HS, heat-stressed seedlings. RT, seedlings not exposed to heat stress. Levels of each protein in the RT and HS MS datasets were estimated by the number of spectral counts in the MS precursor scans that were obtained for each target; these numbers were then normalized by the total number of spectral counts for each MS run. (A) SUMOylated transcription and DNA repair components that increase in abundance during heat stress. (B) SUMOylated proteins that decrease in abundance during heat stress. (C) Members of the SUMO conjugation pathway.

Acknowledgements

We thank Gregory Barrett-Wilt for help with the MS analysis. This work was supported by a grant (MCB 0929395) from the US National Science Foundation-Arabidopsis 2010 Program to R.D.V.

Addendum to:

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