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A key general stress response motif is regulated non-uniformly by CAMTA transcription factors.

ABSTRACT: Plants cope with environmental challenges by rapidly triggering and synchronizing mechanisms governing stress-specific and general stress response (GSR) networks. The GSR acts rapidly and transiently in response to various stresses, but the underpinning mechanisms have remained elusive. To define GSR regulatory components we have exploited the Rapid Stress Response Element (RSRE), a previously established functional GSR motif, using Arabidopsis plants expressing a 4xRSRE::Luciferase (RSRE::LUC) reporter. Initially, we searched public microarray datasets and found an enrichment of RSRE in promoter sequences of stress genes. Next, we treated RSRE::LUC plants with wounding and a range of rapidly stress-inducible hormones and detected a robust LUC activity solely in response to wounding. Application of two Ca(2+) burst inducers, flagellin22 (flg22) and oligogalacturonic acid, activated RSRE strongly and systemically, while the Ca(2+) chelator ethylene glycol tetraacetic acid (EGTA) significantly reduced wound induction of RSRE::LUC. In line with the signaling function of Ca(2+) in transduction events leading to activation of RSRE, we examined the role of CALMODULIN-BINDING TRANSCRIPTIONAL ACTIVATORs (CAMTAs) in RSRE induction. Transient expression assays displayed CAMTA3 induction of RSRE and not that of the mutated element mRSRE. Treatment of selected camta mutant lines integrated into RSRE::LUC parent plant, with wounding, flg22, and freezing, established a differential function of these CAMTAs in potentiating the activity of RSRE. Wound response studies using camta double mutants revealed a cooperative function of CAMTAs2 and 4 with CAMTA 3 in the RSRE regulation. These studies provide insights into governing components of transduction events and reveal transcriptional modules that tune the expression of a key GSR motif.

SUBMITTER: Benn G

PROVIDER: S-EPMC4172554 | biostudies-literature | 2014 Oct

REPOSITORIES: biostudies-literature

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A key general stress response motif is regulated non-uniformly by CAMTA transcription factors.

Benn Geoffrey G Wang Chang-Quan CQ Hicks Derrick R DR Stein Jeffrey J Guthrie Cade C Dehesh Katayoon K

The Plant journal : for cell and molecular biology 20140819 1

Plants cope with environmental challenges by rapidly triggering and synchronizing mechanisms governing stress-specific and general stress response (GSR) networks. The GSR acts rapidly and transiently in response to various stresses, but the underpinning mechanisms have remained elusive. To define GSR regulatory components we have exploited the Rapid Stress Response Element (RSRE), a previously established functional GSR motif, using Arabidopsis plants expressing a 4xRSRE::Luciferase (RSRE::LUC) ...[more]

PMID: 25039701

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Project description:A core component of the M-NM-1-proteobacterial general stress response is the extracytoplasmic function (ECF) sigma factor EcfG, exclusively present in this taxonomic class. Half of the completed M-NM-1-proteobacterial genome sequences contain two or more copies of genes encoding M-OM-^CEcfG-like sigma factors, with the primary copy typically located adjacent to genes coding for a cognate anti-sigma factor (NepR) and two-component response regulator (PhyR). So far, the widespread occurrence of additional, non-canonical M-OM-^CEcfG copies has not satisfactorily been explained. This work explores the hierarchical relation between Rhizobium etli M-OM-^CEcfG1 and M-OM-^CEcfG2, canonical and non-canonical M-OM-^CEcfG proteins, respectively. Contrary to reports in other species, we find that M-OM-^CEcfG1 and M-OM-^CEcfG2 act in parallel, as nodes of a complex regulatory network, rather than in series, as elements of a linear regulatory cascade. We demonstrate that both sigma factors control unique yet also shared target genes, corroborating phenotypic evidence. M-OM-^CEcfG1 drives expression of rpoH2, explaining the increased heat sensitivity of an ecfG1 mutant, while katG is under control of M-OM-^CEcfG2, accounting for reduced oxidative stress resistance of an ecfG2 mutant. We also identify non-coding RNA genes as novel M-OM-^CEcfG targets. We propose a modified model for general stress response regulation in R. etli, in which M-OM-^CEcfG1 and M-OM-^CEcfG2 function largely independently. Based on a phylogenetic analysis and considering the prevalence of M-NM-1-proteobacterial genomes with multiple M-OM-^CEcfG copies, this model may also be applicable to numerous other species. In this study, we investigate to which degree R. etli EcfG1 and EcfG2 regulation is interdependent. Furthermore, we demonstrate that both sigma factors control distinct regulons and pinpoint unique EcfG2 target genes. We also identify non-coding RNAs (ncRNAs) as novel targets of EcfG1 and EcfG2 and show that expression of at least one of these ncRNAs is under direct EcfG control. The presence of ncRNAs in the regulon of an EcfG type sigma factor has not been described previously and adds an extra level of complexity to the regulation of the general stress response in Alpha-proteobacteria. Moreover, considering the widespread existence of Alpha-proteobacterial genomes with multiple EcfG copies, the here presented results not only lead to a better understanding of the general stress response in R. etli, but also contribute to a conceptual paradigm for general stress response regulation by multiple EcfG proteins in Alpha-proteobacteria. Comparative transcriptome analyses were carried out on four samples: the parental strain (WT) and mutants in either sigma factor gene ecfG1, sigma factor gene ecfG2, and both genes combined.

Project description:A core component of the α-proteobacterial general stress response is the extracytoplasmic function (ECF) sigma factor EcfG, exclusively present in this taxonomic class. Half of the completed α-proteobacterial genome sequences contain two or more copies of genes encoding σEcfG-like sigma factors, with the primary copy typically located adjacent to genes coding for a cognate anti-sigma factor (NepR) and two-component response regulator (PhyR). So far, the widespread occurrence of additional, non-canonical σEcfG copies has not satisfactorily been explained. This work explores the hierarchical relation between Rhizobium etli σEcfG1 and σEcfG2, canonical and non-canonical σEcfG proteins, respectively. Contrary to reports in other species, we find that σEcfG1 and σEcfG2 act in parallel, as nodes of a complex regulatory network, rather than in series, as elements of a linear regulatory cascade. We demonstrate that both sigma factors control unique yet also shared target genes, corroborating phenotypic evidence. σEcfG1 drives expression of rpoH2, explaining the increased heat sensitivity of an ecfG1 mutant, while katG is under control of σEcfG2, accounting for reduced oxidative stress resistance of an ecfG2 mutant. We also identify non-coding RNA genes as novel σEcfG targets. We propose a modified model for general stress response regulation in R. etli, in which σEcfG1 and σEcfG2 function largely independently. Based on a phylogenetic analysis and considering the prevalence of α-proteobacterial genomes with multiple σEcfG copies, this model may also be applicable to numerous other species. In this study, we investigate to which degree R. etli EcfG1 and EcfG2 regulation is interdependent. Furthermore, we demonstrate that both sigma factors control distinct regulons and pinpoint unique EcfG2 target genes. We also identify non-coding RNAs (ncRNAs) as novel targets of EcfG1 and EcfG2 and show that expression of at least one of these ncRNAs is under direct EcfG control. The presence of ncRNAs in the regulon of an EcfG type sigma factor has not been described previously and adds an extra level of complexity to the regulation of the general stress response in Alpha-proteobacteria. Moreover, considering the widespread existence of Alpha-proteobacterial genomes with multiple EcfG copies, the here presented results not only lead to a better understanding of the general stress response in R. etli, but also contribute to a conceptual paradigm for general stress response regulation by multiple EcfG proteins in Alpha-proteobacteria.

Project description:BackgroundLung adenocarcinoma (LUAD) is one of the most common cancers worldwide. The etiology and pathophysiology of LUAD remain unclear. The aim of the present study was to identify the key genes, miRNAs and transcription factors (TFs) associated with the pathogenesis and prognosis of LUAD.MethodsThree gene expression profiles (GSE43458, GSE32863, GSE74706) of LUAD were obtained from the Gene Expression Omnibus (GEO) database. Differentially expressed genes (DEGs) were identified by GEO2R.The Gene Ontology (GO) terms, pathways, and protein-protein interactions (PPIs) of these DEGs were analyzed. Bases on DEGs, the miRNAs and TFs were predicted. Furthermore, TF-gene-miRNA co-expression network was constructed to identify key genes, miRNAs and TFs by bioinformatic methods. The expressions and prognostic values of key genes, miRNAs and TFs were carried out through The Cancer Genome Atlas (TCGA) database and Kaplan Meier-plotter (KM) online dataset.ResultsA total of 337 overlapped DEGs (75 upregulated and 262 downregulated) of LUAD were identified from the three GSE datasets. Moreover, 851 miRNAs and 29 TFs were identified to be associated with these DEGs. In total, 10 hub genes, 10 key miRNAs and 10 key TFs were located in the central hub of the TF-gene-miRNA co-expression network, and validated using The Cancer Genome Atlas (TCGA) database. Specifically, seven genes (PHACTR2, MSRB3, GHR, PLSCR4, EPB41L2, NPNT, FBXO32), two miRNAs (hsa-let-7e-5p, hsa-miR-17-5p) and four TFs (STAT6, E2F1, ETS1, JUN) were identified to be associated with prognosis of LUAD, which have significantly different expressions between LUAD and normal lung tissue. Additionally, the miRNA/gene co-expression analysis also revealed that hsa-miR-17-5p and PLSCR4 have a significant negative co-expression relationship (r=?0.33, P=1.67e-14) in LUAD.ConclusionsOur study constructed a regulatory network of TF-gene-miRNA in LUAD, which may provide new insights about the interaction between genes, miRNAs and TFs in the pathogenesis of LUAD, and identify potential biomarkers or therapeutic targets for LUAD.

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A key general stress response motif is regulated non-uniformly by CAMTA transcription factors.

Publications

A key general stress response motif is regulated non-uniformly by CAMTA transcription factors.

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