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. 2011 Dec 1;6(12):1897–1903. doi: 10.4161/psb.6.12.18023

Meta-analysis of the expression profiles of the Arabidopsis ESCRT machinery

Lynn GL Richardson 1, Robert T Mullen 1,*
PMCID: PMC3337174  PMID: 22105035

Abstract

The Endosomal Sorting Complex Required for Transport (ESCRT) machinery is a set of multi-protein complexes that are well conserved among all eukaryotes and mediate a remarkable array of cellular processes including late endosome/multivesicular body (MVB) formation, retroviral particle release, and membrane abscission during cytokinesis. While the molecular mechanisms underlying ESCRT function have been relatively well characterized in yeasts and mammals, far less is known about ESCRT in plants. In this study, we utilized publicly-available microarray, massively parallel signature sequencing (MPSS) and proteome data sets in order to survey the expression profiles of many of the components of the Arabidopsis thaliana ESCRT machinery. Overall, the results indicate that ESCRT expression in Arabidopsis is highly dynamic across a wide range of organs, tissues and treatments, consistent with the complex interplay that likely exists between the spatial and temporal regulation of the ESCRT machinery and the diverse array of roles that ESCRT participates in during plant growth and development.

Keywords: (co-)expression, Arabidopsis, E-northern, endosome, ESCRT, microarray, multivesicular body


ESCRT consists of ~20 soluble proteins that are probably best known for their role in the recognition, concentration, and packaging of mono-ubiquitinated, membrane-bound proteins within the intralumenal vesicles of endosomal MVBs, leading to the eventual degradation of these membrane proteins upon fusion of the MVB with the lysosome/vacuole. To accomplish this task, ESCRT proteins are sequentially recruited from the cytosol to the surface of the late endosomal membrane via a series of specific protein-protein interactions that results in the assembly of at least four heteromeric protein subcomplexes (ESCRT-0, -I, -II, -III). ESCRT subcomplex disassembly is subsequently regulated, in part, by an AAA-type ATPase referred to as Vps4 (vacuole protein-sorting 4) and its various associated regulatory proteins.1-3

Overall, the breadth of information that exists regarding ESCRT has been garnered primarily from studies with yeast and mammalian cultured cells; however, most of the components of ESCRT are present throughout all eukaryotic taxa, with the exception of ESCRT-0 apparently being absent in plants and other non-opisthokonts (e.g., trypanosomes, Dictyostelium, Chlamydomonas etc.).4-6 Interestingly, components of ESCRT-III are present also in Archaea,7 supporting the functional importance of ESCRT, or at least portions thereof, among evolutionarily diverse organisms.8 It is also now well established that, in addition to the role of ESCRT in MVB biogenesis and membrane protein degradation via the endocytic pathway, ESCRT participates in a number of other key cellular events, including autophagy,9 membrane abscission during cytokinesis,10 retroviral budding,11 and tombusvirus replication.12

In light of these new and unexpected functions for ESCRT there is a growing interest in understanding the overall, more global organization and regulation of ESCRT in plants. Toward this end, recent analyses of the ESCRT protein-protein interaction network in Arabidopsis—based mainly on the yeast two-hybrid assay—revealed that the majority of these interactions are those that also take place between their counterparts in yeasts and/or mammals,13-15 suggesting that the molecular mechanisms underlying ESCRT function are evolutionarily conserved. On the other hand, the Arabidopsis ESCRT interactome also possesses a number of unique interactions that, when considering the fact that many of the ESCRT components in plants exist as multiple isoforms,4,5,16 may reflect the functional plasticity and distinct regulation of the plant ESCRT system overall.

Here we extend our and other’s recent, more global studies of the Arabidopsis ESCRT machinery13-15 by taking advantage of the vast array of publicly-available Arabidopsis gene and protein (peptide) expression data sets and web-based bioinformatics resources to analyze the expression profiles of many of the Arabidopsis ESCRT components across a variety of different organs, tissues and treatments.

As shown in Figure 1A, electronic (E-)northern analyses revealed that almost all of the Arabidopsis ESCRT genes represented on the ATH1 whole-genome chip17 are expressed in a wide variety of organs and/or tissues, as well as at various stages of growth and development, consistent with ESCRT serving a number of essential and general roles (e.g., MVB biogenesis, receptor downregulation, cell division, etc.) throughout the plant life-cycle.18,19 Notably, the expression levels of most of the ESCRT genes were usually highest in seed-specific tissues (e.g., seed coat and endosperm) (Fig. 1A), consistent with the known importance of ESCRT for embryo and seedling development.20,21 Several ESCRT genes also displayed prominent male reproductive-tissue-specific expression profiles. For example, the highest levels of Tom1A, Tom_L, Vps20B and Fab1B expression were in the pollen and stamens, while the highest levels of Tom1D expression were in sperm cells (Fig. 1A). These results are in line with other Arabidopsis comparative transcriptome studies,22,23 wherein these tissues displayed enriched expression of genes involved in receptor protein signaling, vesicle trafficking and membrane transport, and all of which likely involve (directly or indirectly) ESCRT.

Figure 1.

Figure 1.

Microarray-based expression profiles of Arabidopsis ESCRT genes in various tissues and treatments. Publicly-available Arabidopsis microarray (E-northern) expression data sets were explored for selected Arabidopsis ESCRT genes (refer to Table 1 presented in ref. 14 for the list of known and putative Arabidopsis ESCRT genes examined in this study) in either (A) various organ and/or tissue types using the GENEVESTIGATOR Meta-Analyzer-Plant Organs database26 (www.genevestigator.com/gv/) or (B) under different conditions and treatments in shoots or roots and pathogen infections using the AtGenExpress series database38,39 (www.arabidopsis.org/portals/expression/microarray/ATGenExpress.jsp), and with the tools hosted at the BioArray Resource (BAR) (www.bar.utoronto.ca).40 E-northern expression patterns were expressed as log-transformed values normalized to the controls and formatted into heat maps using the Meta Analyzer tool at BAR. Note that the E-northern data for some of the known ESCRT genes was not available, since these genes are not present on the ATH1 whole genome chip.16 Keys at the bottom right of (A) and (B) display the correlation between shading and scaled log-fold changes in expression.

It was also notable that when comparing the E-northern expression profiles of Arabidopsis ESCRT genes according to the complexes in which their respective protein products are thought to function, only the ESCRT-II-related genes, Vps22 and Vps36, appeared to be largely ubiquitously expressed and at relatively high levels (Fig. 1A). By contrast, the expression profiles and levels of most other ESCRT-related genes varied considerably. Indeed, other than perhaps for ESCRT-III along with Vps4 [also referred to as AtSKD1 (Arabidopsis thaliana suppressor of K+ transport growth defect 1)]24 and its regulators, co-expression values for the Arabidopsis ESCRT machinery overall were quite variable, with few significant correlations in transcript expression levels within or between most of the different ESCRT subcomplexes at the whole plant level (Fig. 2). Moreover, almost all of the Arabidopsis ESCRT components that exist as multiple isoforms, including Vps23A (also referred to as ELC),25 Vps23B, Chmp2A-C, and Vps24A/B, etc., displayed highly divergent expression patterns (Figs. 1A and 2), suggesting that, despite their high sequence identities4,5,16 and their similar protein-protein interaction networks,13-15 functional redundancy of these proteins is unlikely. Instead, these observations reinforce the premise that compared with other evolutionarily diverse organisms, the considerable expansion of ESCRT gene families in plants likely reflects organ/tissue-specific functions or differences in protein-binding specificity.

Figure 2.

Figure 2.

Co-expression analysis of Arabidopsis ESCRT genes. Multi-gene co-expression analysis of selected Arabidopsis ESCRT genes was performed using CressExpress41 (www.cressexpress.org) and data obtained from the publicly-available Arabidopsis microarray (E-northern) expression data sets. Pearson’s correlation coefficients (r values) between all ESCRT gene pairs are indicated, with those values reflecting positive co-expression (r ≥ 0.37) at the whole plant level shaded in gray and those that also displayed an increased number of significant expression correlations (r ≥ 0.37) in embryo and seed-specific tissues highlighted in bold. Similar results for Arabidopsis ESCRT co-expression at the whole plant level were obtained using other multi-gene co-expression analysis programs, including the PRIMe: Correlated Gene Search42 (data not shown). Likewise, the co-expression values for the putative rice (Oryza sativa) ESCRT machinery,4 based on the Rice Olig Array Database coexpression tool,43 were also mostly variable overall at the whole plant level (data not shown), suggesting that the highly dynamic expression of the ESCRT machinery is a shared feature between dicots and monocots.

In support of this notion, when the co-expression values for the Arabidopsis ESCRT machinery were analyzed in embryo and seed-specific tissues [where the expression of many of the ESCRT genes are at their highest (Figure 1A)], several components, including many of those that exist as multiple isoforms, displayed an increased number of significant expression correlations (Fig. 2). However, absent from these embryo and seed-specific co-expression results was co-expression for certain ESCRT components that have been reported previously to physically interact using protein-protein interaction assays,13-15 or ectopically expressed in plant cells.15

Probably the most obvious group of ESCRT-associated components in Arabidopsis to undergo marked gene expansion is the Tom1 gene family, which has nine members (Tom1A-G). These proteins have been proposed to perform an MVB cargo recognition role in place of ESCRT-0. That is, similar to other non-opisthokonts, plants have no apparent homologs for the mammalian and yeast ESCRT-0 components Hrs/Vps27 and STAM/HseI;4,5 the two key factors that function in mammals and yeasts in the initial recognition of ubiquitinated cargo (membrane) proteins and the subsequent recruitment of ESCRT-I to the endosomal surface.1-3 This lack of Vps27/Hrs and HseI/STAM in plants is thought to reflect the fact that the nature of ESCRT cargo protein selection and ESCRT-I recruitment in plants is mechanistically distinct, such that other ubiquitin-binding proteins, namely members of the Tom1 protein family, serve as an alternate interface for these two roles.4,5 Based on this presumption and also the divergent (co-)expression profiles observed for several members of plant Tom1 family (Fig. 1A and 2), it is tempting to speculate further that at least some of these proteins have evolved to function in a tissue-specific manner and/or interact with certain components of ESCRT-I13 or select ESCRT cargo proteins.20,21 Interestingly, many of the non-ESCRT genes that are co-expressed with ESCRT genes in embryo and seed-specific tissues encode membrane proteins involved in a wide array of cellular processes, and include drug, ion, amino acid, oligopeptide and sugar transporters, as well as predicted transmembrane receptors (Table 1). Of course, while it remains to be determined whether any of these proteins are bona fide ESCRT (cargo) substrates, these findings are consistent with the general role of ESCRT in the regulated degradation of membrane proteins and perhaps highlight yet-to-be studied roles for ESCRT in other physiological processes in plants.

Table 1. Non-ESCRT genes co-expressed with the ESCRT gene network in Arabidopsis embryo and seed tissuesa .

AGIb Gene Descriptionc
AT3G49630
Unknown function
AT1G23300
MATE efflux family protein; antiporter activity, drug transmembrane transporter activity
AT2G14610
PATHOGENESIS-RELATED GENE 1
AT1G23830
Unknown function
AT3G57100
Unknown function
AT2G06130
Transposable element gene
AT1G51210
UDP-Glycosyltransferase superfamily protein
AT1G63770
Peptidase M1 family protein; metallopeptidase activity, zinc ion binding
AT3G02260
ATTENUATED SHADE AVOIDANCE 1; auxin polar transport, ubiquitin-protein ligase activity
AT1G48510
Surfeit locus 1 cytochrome c oxidase biogenesis protein
AT2G02620
Cysteine/Histidine-rich C1 domain family protein; zinc ion binding; intracellular signaling pathway
AT4G38830
Cysteine-rich receptor-like protein kinase
AT4G30940
BTB/POZ domain with WD40/YVTN repeat-like protein; voltage-gated potassium channel activity
AT5G05300
Unknown function
AT3G46150
Unknown function
AT1G71680
Transmembrane amino acid transporter family protein
AT1G28220
Member of a family of proteins related to PUP1, a purine transporter
AT1G57670
Toll-Interleukin-Resistance domain family protein; transmembrane receptor activity
AT3G25280
Major facilitator superfamily protein; oligopeptide transporter activity
AT4G04690
Protein ubiquitination; ubiquitin-dependent protein catabolism; ubiquitin-protein ligase activity
AT2G14700
Unknown function
AT2G13620
Member of Putative Na+/H+ antiporter family
AT1G51750
Transposable element gene
AT2G23270
Unknown function
AT5G28580
Transposable element gene
AT4G17450
Transposable element gene
AT2G35080
ATP binding; aminoacyl-tRNA ligases
AT1G27160
Valyl-tRNA synthetase / valine–tRNA ligase-related
AT2G34040
Apoptosis inhibitory protein 5
AT1G13610
Alpha/β-Hydrolases
AT3G55100
ABC-2 type transporter family protein
AT1G57943
Purine base transmembrane transporter activity
AT4G26340
F-box/RNI-like/FBD-like domains-containing protein; C
AT1G65870
Disease resistance-responsive (dirigent-like protein) family protein
AT3G10100
Transposable element gene
AT2G24920
Transposable element gene
AT1G62280
SLAC1 HOMOLOG 1; cellular ion homeostasis, plasma membrane transporter activity
AT2G05390
Transposable element gene
AT2G01580
Unknown protein
AT1G28460
AGAMOUS-LIKE 59; sequence-specific DNA-binding transcription factor activity
AT2G16120
Polyol/monosaccharide transporter 1
AT1G57906
Unknown protein
AT5G52050
MATE efflux family protein; antiporter activity, drug transmembrane transporter activity
AT2G17330
CYTOCHROME P450 51A1; putative obtusifoliol 14-α demethylase
AT3G60760
Unknown function
AT3G50560
NAD(P)-binding Rossmann-fold superfamily protein
AT2G13630
F-box associated ubiquitination effector family protein
AT5G55330
MBOAT (membrane bound O-acyl transferase) family protein
AT3G60720
Plasmodesmal protein; may be involved in the intercellular movement of molecules through the plasmodesmata
AT4G10990
Transposable element gene
AT1G57600
MBOAT (membrane bound O-acyl transferase) family protein
AT1G73700
MATE efflux family protein; antiporter activity, drug transmembrane transporter activity
AT3G04960
Molecular chaperone, heat shock protein
AT1G29350
Kinase-related protein of unknown function
AT1G76430
Pht1;9, a member of the Pht1 family of phosphate transporters
AT5G01550 LECTIN RECEPTOR KINASE A4.1

aIdentification of non-ESCRT genes that were co-expressed with the Arabidopsis ESCRT gene network was performed using CressExpress38 and data obtained from the publicly-available Arabidopsis microarray (E-northern) expression data sets specific for embryo and seed tissues. Genes shown are those that were most significantly co-regulated [Pearson’s correlation coefficients reflecting positive co-expression (r ≥ 0.5)] with at least 18 of the 19 ESCRT genes examined (i.e., ESCRT genes present on the ATH1 whole genome chip and listed in Figure 2). bArabidopsis gene identifier (AGI) number based on The Arabidopsis Information Resource (TAIR)44 (www.arabidopsis.org). cDescription of gene product function(s) based on TAIR.

Also shown in Figure 1B, additional surveys of the Arabidopsis E-northern expression databases for various abiotic stress treatments of shoots and roots or pathogen and elicitor treatments of leaves revealed that at least a few ESCRT genes displayed pronounced changes in their expression in response to these different treatments. Most notably, the putative ESCRT-III gene Vps24B was highly upregulated in shoots subjected to either genotoxic, oxidative, wounding or heat stress, as well as in late-stage (i.e., 48 h) Pseudomonas-infected leaves (Fig. 1B). Likewise, both Tom1C and Vps60A genes displayed significant increases in expression levels in roots subjected to UV-B stress and in response to almost all pathogen infections and elicitor treatments examined (Fig. 1B). Similar increases in Tom1C and Vps60A expression were also observed in various Arabidopsis (non-ESCRT) mutant gene backgrounds, including those with defects in pathogen resistance, i.e., surveys of the GENEVESTIGATOR genotype E-northern database26 revealed that both Tom1C and Vps60A, as well as various other ESCRT genes, displayed significant increases in expression in, among others, mutants defective in local and systemic acquired resistance (sid2),27 pathogen response signaling (cpr5),28 or plant innate immune responses (mpk4)29 (data not shown). However, whether these results further reflect novel roles for components of the plant ESCRT machinery, perhaps during unique or general plant stress responses, remains to be determined. Nonetheless, this is an intriguing possibility given the apparent role of ESCRT in tombusvirus RNA replication. That is, similar to ability of enveloped RNA viruses, such as HIV, to appropriate certain constituents of ESCRT to execute their budding from infected mammalian cells,30 the tombusvirus, tomato bushy stunt virus replication proteins appear to exploit the ESCRT machinery,12,31 in order to mediate the structural reorganization of peroxisomes into unique MVB-like compartments where at viral RNA replication takes place.32

We also analyzed the expression profiles for several known and putative ESCRT components across different organs using the MPSS and peptide proteome databases.33,34 As shown in Figure 3, MPSS and peptide proteome analyses revealed many of the same general and organ/tissue-specific expression patterns for those ESCRT genes that were analyzed using the E-northern data sets (Fig. 1) and, for at least Vps23A and Vps4, that have been analyzed also using RT-PCR and protein blotting, respectively.24,25 On the other hand, some conspicuous differences in the expression patterns of ESCRT genes (proteins) were also found. For instance, based on MPSS results, among the highest levels of expression for Tom1_L, Chmp2A, and the putative ESCRT-III genes, Snf7A and Snf7B, were in the roots, whereas each of these genes, based on E-northerns, displayed relatively low levels of expression throughout various root tissues (Figs. 1A and 3A). Similarly, the relative protein expression levels for some ESCRT components based on the peptide proteome (Fig. 3B) were varied compared with that of their corresponding mRNA (microarray and/or MPSS) expression levels in the various plant organs/tissues examined (e.g., Tom1F, Snf7A/B, Chmp1A and Bro1). However, these apparent differences may be due, at least in part, to inherent variations between these different technology platforms; for example, gene-specific cDNA or oligonucleotide-sequence vs. peptide-sequence sampling, (sub)tissue/organ sampling, filtering stringency, and tag-position bias.35

Figure 3.

Figure 3.

MPSS and peptide expression profiles of Arabidopsis ESCRT genes and proteins in various tissues. (A) MPSS analysis of selected Arabidopsis ESCRT genes in various tissue types was performed using the MPSS Plus website (http://mpss.udel.edu/at/).33 (B) Peptide expression profiles for selected Arabidopsis ESCRT proteins in different tissues were based on the Arabidopsis peptide-to-proteome TAIR9 database (http://fgcz-pep2pro.uzh.ch/).34 Both MPSS and peptide expression values (compared with controls) were normalized and formatted as heat maps using the DataMetaFormatter tool at BAR.40 The key at the bottom of (B) display the correlation between shading and scaled log-fold changes in expression.

Taken together, the expression profiling data presented here suggest that the regulation of ESCRT in Arabidopsis is highly complex, including a dynamic array of organ/tissue-specific and stress-related expression patterns, as well as apparent transcriptional and post-transcriptional controls. However, this complex regulation of Arabidopsis ESCRT is perhaps not surprising given a number of factors, including: (1) the considerable expansion of many of the ESCRT gene families in plants compared with other eukaryotes,4,5,15 (2) the sophisticated hierarchical- and stoichiometric-dependent manner in which the various multi-protein ESCRT subcomplexes, their associated regulatory proteins, as well as ubiquitin, appear to operate in concert,1-3,36 (3) the unique and dynamic nature of the plant endosomal pathway overall,17,18,37 and (4) the ever expanding number of roles that the ESCRT machinery, or at least portions thereof, participates in throughout plant growth and development.8 Undoubtedly these and other important aspects of the plant ESCRT machinery will be the focus over the coming years of more detailed experimental studies and the results presented here should thus serve as a useful resource for elucidating the molecular mechanisms by which ESCRT functions in plants.

Disclosure of Potential Conflicts of Interest

No potential conflicts of interest were disclosed.

Acknowledgments

This work was supported by grants from the Natural Sciences and Engineering Research Council of Canada (NSERC) to RTM. LGLR is the recipient of an NSERC CGS-D Postgraduate Scholarship. We thank Geoffrey Lum for his assistance with the co-expression analysis of the rice ESCRT machinery.

Footnotes

References

  • 1.Roxrud I, Stenmark H, Malerød L. ESCRT & Co. Biol Cell. 2010;102:293–318. doi: 10.1042/BC20090161. [DOI] [PubMed] [Google Scholar]
  • 2.Hurley JH, Hanson PI. Membrane budding and scission by the ESCRT machinery: it’s all in the neck. Nat Rev Mol Cell Biol. 2010;11:556–66. doi: 10.1038/nrm2937. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Henne WM, Buchkovich NJ, Emr SD. The ESCRT pathway. Dev Cell. 2011;21:77–91. doi: 10.1016/j.devcel.2011.05.015. [DOI] [PubMed] [Google Scholar]
  • 4.Winter V, Hauser MT. Exploring the ESCRTing machinery in eukaryotes. Trends Plant Sci. 2006;11:115–23. doi: 10.1016/j.tplants.2006.01.008. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Leung KF, Dacks JB, Field MC. Evolution of the multivesicular body ESCRT machinery: retention across the eukaryotic lineage. Traffic. 2008;9:1698–716. doi: 10.1111/j.1600-0854.2008.00797.x. [DOI] [PubMed] [Google Scholar]
  • 6.Herman EK, Walker G, van der Giezen M, Dacks JB. Multivesicular bodies in the enigmatic amoeboflagellate Breviata anathema and the evolution of ESCRT 0. J Cell Sci. 2011;124:613–21. doi: 10.1242/jcs.078436. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Samson RY, Bell SD. Ancient ESCRTs and the evolution of binary fission. Trends Microbiol. 2009;17:507–13. doi: 10.1016/j.tim.2009.08.003. [DOI] [PubMed] [Google Scholar]
  • 8.Michelet X, Djeddi A, Legouis R. Developmental and cellular functions of the ESCRT machinery in pluricellular organisms. Biol Cell. 2010;102:191–202. doi: 10.1042/BC20090145. [DOI] [PubMed] [Google Scholar]
  • 9.Fader CM, Colombo MI. Autophagy and multivesicular bodies: two closely related partners. Cell Death Differ. 2009;16:70–8. doi: 10.1038/cdd.2008.168. [DOI] [PubMed] [Google Scholar]
  • 10.Caballe A, Martin-Serrano J. ESCRT machinery and cytokinesis: the road to daughter cell separation. Traffic. 2011;12:1318–26. doi: 10.1111/j.1600-0854.2011.01244.x. [DOI] [PubMed] [Google Scholar]
  • 11.Carlton JG, Martin-Serrano J. The ESCRT machinery: new functions in viral and cellular biology. Biochem Soc Trans. 2009;37:195–9. doi: 10.1042/BST0370195. [DOI] [PubMed] [Google Scholar]
  • 12.Barajas D, Jiang Y, Nagy PD. A unique role for the host ESCRT proteins in replication of Tomato bushy stunt virus. PLoS Pathog. 2009;5:e1000705. doi: 10.1371/journal.ppat.1000705. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Shahriari M, Keshavaiah C, Scheuring D, Sabovljevic A, Pimpl P, Häusler RE, et al. The AAA-type ATPase AtSKD1 contributes to vacuolar maintenance of Arabidopsis thaliana. Plant J. 2010;64:71–85. doi: 10.1111/j.1365-313X.2010.04310.x. [DOI] [PubMed] [Google Scholar]
  • 14.Richardson LGL, Howard ASM, Khuu N, Gidda SK, McCartney A, Morphy BJ, et al. Protein-protein interaction network and subcellular localization of the Arabidopsis thaliana ESCRT machinery. Front Plant Sci 2011; In press doi: . [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Shahriari M, Richter K, Keshavaiah C, Sabovljevic A, Huelskamp M, Schellmann S. The Arabidopsis ESCRT protein-protein interaction network. Plant Mol Biol. 2011;76:85–96. doi: 10.1007/s11103-011-9770-4. [DOI] [PubMed] [Google Scholar]
  • 16.Mullen RT, McCartney AW, Flynn CR, Smith GST. Peroxisome biogenesis and the formation of multivesicular peroxisomes during tombusvirus infection: a role for ESCRT? Can J Bot. 2006;84:551–64. doi: 10.1139/b06-005. [DOI] [Google Scholar]
  • 17.Redman JC, Haas BJ, Tanimoto G, Town CD. Development and evaluation of an Arabidopsis whole genome Affymetrix probe array. Plant J. 2004;38:545–61. doi: 10.1111/j.1365-313X.2004.02061.x. [DOI] [PubMed] [Google Scholar]
  • 18.Otegui MS, Spitzer C. Endosomal functions in plants. Traffic. 2008;9:1589–98. doi: 10.1111/j.1600-0854.2008.00787.x. [DOI] [PubMed] [Google Scholar]
  • 19.Schellmann S, Pimpl P. Coats of endosomal protein sorting: retromer and ESCRT. Curr Opin Plant Biol. 2009;12:670–6. doi: 10.1016/j.pbi.2009.09.005. [DOI] [PubMed] [Google Scholar]
  • 20.Tian Q, Olsen L, Sun B, Lid SE, Brown RC, Lemmon BE, et al. Subcellular localization and functional domain studies of DEFECTIVE KERNEL1 in Maize and Arabidopsis suggest a model for aleurone cell fate specification involving CRINKLY4 and SUPERNUMERARY ALEURONE LAYER1. Plant Cell. 2007;19:3127–45. doi: 10.1105/tpc.106.048868. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Spitzer C, Reyes FC, Buono R, Sliwinski MK, Haas TJ, Otegui M. The ESCRT-related CHMP1A and B proteins mediate multivesicular body sorting of auxin carriers in Arabidopsis and are required for plant development. Plant Cell. 2009;21:749–66. doi: 10.1105/tpc.108.064865. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Pina C, Pinto F, Feijó JA, Becker JD. Gene family analysis of the Arabidopsis pollen transcriptome reveals biological implications for cell growth, division control, and gene expression regulation. Plant Physiol. 2005;138:744–56. doi: 10.1104/pp.104.057935. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Borges F, Gomes G, Gardner R, Moreno N, McCormick S, Feijó JA, et al. Comparative transcriptomics of Arabidopsis sperm cells. Plant Physiol. 2008;148:1168–81. doi: 10.1104/pp.108.125229. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Haas TJ, Sliwinski MK, Martínez DE, Preuss M, Ebine K, Ueda T, et al. The Arabidopsis AAA ATPase SKD1 is involved in multivesicular endosome function and interacts with its positive regulator LYST-INTERACTING PROTEIN 5. Plant Cell. 2007;19:1295–312. doi: 10.1105/tpc.106.049346. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Spitzer C, Schellmann S, Sabovljevic A, Shahriari M, Keshavaiah C, Bechtold N, et al. The Arabidopsis elch mutant reveals functions of an ESCRT component in cytokinesis. Development. 2006;133:4679–89. doi: 10.1242/dev.02654. [DOI] [PubMed] [Google Scholar]
  • 26.Zimmermann P, Hirsch-Hoffmann M, Hennig L, Gruissem W. GENEVESTIGATOR. Arabidopsis microarray database and analysis toolbox. Plant Physiol. 2004;136:2621–32. doi: 10.1104/pp.104.046367. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Wildermuth MC, Dewdney J, Wu G, Ausubel FM. Isochorismate synthase is required to synthesize salicylic acid for plant defence. Nature. 2001;414:562–5. doi: 10.1038/35107108. [DOI] [PubMed] [Google Scholar]
  • 28.Kirik V, Bouyer D, Schöbinger U, Bechtold N, Herzog M, Bonneville JM, et al. CPR5 is involved in cell proliferation and cell death control and encodes a novel transmembrane protein. Curr Biol. 2001;11:1891–5. doi: 10.1016/S0960-9822(01)00590-5. [DOI] [PubMed] [Google Scholar]
  • 29.Rodriguez MC, Petersen M, Mundy J. Mitogen-activated protein kinase signaling in plants. Annu Rev Plant Biol. 2010;61:621–49. doi: 10.1146/annurev-arplant-042809-112252. [DOI] [PubMed] [Google Scholar]
  • 30.Weiss ER, Göttlinger H. The role of cellular factors in promoting HIV budding. J Mol Biol. 2011;410:525–33. doi: 10.1016/j.jmb.2011.04.055. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Barajas D, Nagy PD. Ubiquitination of tombusvirus p33 replication protein plays a role in virus replication and binding to the host Vps23p ESCRT protein. Virology. 2010;397:358–68. doi: 10.1016/j.virol.2009.11.010. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Mullen RT, Gidda SK. The role of peroxisomes in viral replication. In: Emergent Functions of the Peroxisome. 2009 Eds. Terlecky S.R. and Titorenko, V.I. Research Signpost. [Google Scholar]
  • 33.Meyers BC, Tej SS, Vu TH, Haudenschild CD, Agrawal V, Edberg SB, et al. The use of MPSS for whole-genome transcriptional analysis in Arabidopsis. Genome Res. 2004;14:1641–53. doi: 10.1101/gr.2275604. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Baerenfaller K, Grossmann J, Grobei MA, Hull R, Hirsch-Hoffmann M, Yalovsky S, et al. Genome-Scale proteomics reveals Arabidopsis thaliana gene models and proteome dynamics. Science. 2008;320:938–41. doi: 10.1126/science.1157956. [DOI] [PubMed] [Google Scholar]
  • 35.Baginsky S, Hennig L, Zimmermann P, Gruissem W. Gene expression analysis, proteomics, and network discovery. Plant Physiol. 2010;152:402–10. doi: 10.1104/pp.109.150433. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Shields SB, Piper RC. How ubiquitin functions with ESCRTs. Traffic. 2011;12:1306–17. doi: 10.1111/j.1600-0854.2011.01242.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Robinson DG, Jiang L, Schumacher K. The endosomal system of plants: charting new and familiar territories. Plant Physiol. 2008;147:1482–92. doi: 10.1104/pp.108.120105. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Kilian J, Whitehead D, Horak J, Wanke D, Weinl S, Batistic O, et al. Bornberg-Bauer, E, Kudla J, Harter K. The AtGen-Express global stress expression data set: protocols, evaluation and model data analysis of UV-B light, drought and cold stress responses. Plant J. 2007;50:347–63. doi: 10.1111/j.1365-313X.2007.03052.x. [DOI] [PubMed] [Google Scholar]
  • 39.Goda H, Sasaki E, Akiyama K, Maruyama-Nakashita A, Nakabayashi K, Li W, et al. The AtGenExpress hormone and chemical treatment data set: experimental design, data evaluation, model data analysis and data access. Plant J. 2008;55:526–42. doi: 10.1111/j.1365-313X.2008.03510.x. [DOI] [PubMed] [Google Scholar]
  • 40.Toufighi K, Brady SM, Austin R, Ly E, Provart NJ. The botany array resource: e-northerns, expression angling, and promoter analyses. Plant J. 2005;43:153–63. doi: 10.1111/j.1365-313X.2005.02437.x. [DOI] [PubMed] [Google Scholar]
  • 41.Srinivasasainagendra V, Page GP, Mehta T, Coulibaly I, Loraine AE. CressExpress: A tool for large-scale mining of expression data from Arabidopsis. Plant Physiol. 2008;147:1004–16. doi: 10.1104/pp.107.115535. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Akiyama K, Chikayama E, Yuasa H, Shimada Y, Tohge T, Shinozaki K, et al. PRIMe: a Web site that assembles tools for metabolomics and transcriptomics. In Silico Biol. 2008;8:339–45. [PubMed] [Google Scholar]
  • 43.Jung KH, Dardick C, Bartley LE, Cao P, Phetsom J, Canlas P, et al. Refinement of light-responsive transcript lists using rice oligonucleotide arrays: evaluation of gene-redundancy. PLoS ONE. 2008;3:e3337. doi: 10.1371/journal.pone.0003337. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44.Poole RL. The TAIR database. Methods Mol Biol. 2007;406:179–212. doi: 10.1007/978-1-59745-535-0_8. [DOI] [PubMed] [Google Scholar]

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