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Genes and Co-Expression Modules Common to Drought and Bacterial Stress Responses in Arabidopsis and Rice
Plants are simultaneously exposed to multiple stresses resulting in enormous changes in the molecular landscape within the cell. Identification and characterization of the synergistic and antagonistic components of stress response mechanisms contributing to the cross talk between stresses is of high...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3795056/ https://www.ncbi.nlm.nih.gov/pubmed/24130868 http://dx.doi.org/10.1371/journal.pone.0077261 |
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author | Shaik, Rafi Ramakrishna, Wusirika |
author_facet | Shaik, Rafi Ramakrishna, Wusirika |
author_sort | Shaik, Rafi |
collection | PubMed |
description | Plants are simultaneously exposed to multiple stresses resulting in enormous changes in the molecular landscape within the cell. Identification and characterization of the synergistic and antagonistic components of stress response mechanisms contributing to the cross talk between stresses is of high priority to explore and enhance multiple stress responses. To this end, we performed meta-analysis of drought (abiotic), bacterial (biotic) stress response in rice and Arabidopsis by analyzing a total of 386 microarray samples belonging to 20 microarray studies and identified approximately 3100 and 900 DEGs in rice and Arabidopsis, respectively. About 38.5% (1214) and 28.7% (272) DEGs were common to drought and bacterial stresses in rice and Arabidopsis, respectively. A majority of these common DEGs showed conserved expression status in both stresses. Gene ontology enrichment analysis clearly demarcated the response and regulation of various plant hormones and related biological processes. Fatty acid metabolism and biosynthesis of alkaloids were upregulated and, nitrogen metabolism and photosynthesis was downregulated in both stress conditions. WRKY transcription family genes were highly enriched in all upregulated gene sets while ‘CO-like’ TF family showed inverse relationship of expression between drought and bacterial stresses. Weighted gene co-expression network analysis divided DEG sets into multiple modules that show high co-expression and identified stress specific hub genes with high connectivity. Detection of consensus modules based on DEGs common to drought and bacterial stress revealed 9 and 4 modules in rice and Arabidopsis, respectively, with conserved and reversed co-expression patterns. |
format | Online Article Text |
id | pubmed-3795056 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-37950562013-10-15 Genes and Co-Expression Modules Common to Drought and Bacterial Stress Responses in Arabidopsis and Rice Shaik, Rafi Ramakrishna, Wusirika PLoS One Research Article Plants are simultaneously exposed to multiple stresses resulting in enormous changes in the molecular landscape within the cell. Identification and characterization of the synergistic and antagonistic components of stress response mechanisms contributing to the cross talk between stresses is of high priority to explore and enhance multiple stress responses. To this end, we performed meta-analysis of drought (abiotic), bacterial (biotic) stress response in rice and Arabidopsis by analyzing a total of 386 microarray samples belonging to 20 microarray studies and identified approximately 3100 and 900 DEGs in rice and Arabidopsis, respectively. About 38.5% (1214) and 28.7% (272) DEGs were common to drought and bacterial stresses in rice and Arabidopsis, respectively. A majority of these common DEGs showed conserved expression status in both stresses. Gene ontology enrichment analysis clearly demarcated the response and regulation of various plant hormones and related biological processes. Fatty acid metabolism and biosynthesis of alkaloids were upregulated and, nitrogen metabolism and photosynthesis was downregulated in both stress conditions. WRKY transcription family genes were highly enriched in all upregulated gene sets while ‘CO-like’ TF family showed inverse relationship of expression between drought and bacterial stresses. Weighted gene co-expression network analysis divided DEG sets into multiple modules that show high co-expression and identified stress specific hub genes with high connectivity. Detection of consensus modules based on DEGs common to drought and bacterial stress revealed 9 and 4 modules in rice and Arabidopsis, respectively, with conserved and reversed co-expression patterns. Public Library of Science 2013-10-10 /pmc/articles/PMC3795056/ /pubmed/24130868 http://dx.doi.org/10.1371/journal.pone.0077261 Text en © 2013 Shaik et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Shaik, Rafi Ramakrishna, Wusirika Genes and Co-Expression Modules Common to Drought and Bacterial Stress Responses in Arabidopsis and Rice |
title | Genes and Co-Expression Modules Common to Drought and Bacterial Stress Responses in Arabidopsis and Rice |
title_full | Genes and Co-Expression Modules Common to Drought and Bacterial Stress Responses in Arabidopsis and Rice |
title_fullStr | Genes and Co-Expression Modules Common to Drought and Bacterial Stress Responses in Arabidopsis and Rice |
title_full_unstemmed | Genes and Co-Expression Modules Common to Drought and Bacterial Stress Responses in Arabidopsis and Rice |
title_short | Genes and Co-Expression Modules Common to Drought and Bacterial Stress Responses in Arabidopsis and Rice |
title_sort | genes and co-expression modules common to drought and bacterial stress responses in arabidopsis and rice |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3795056/ https://www.ncbi.nlm.nih.gov/pubmed/24130868 http://dx.doi.org/10.1371/journal.pone.0077261 |
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