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Analysis of drought-responsive signalling network in two contrasting rice cultivars using transcriptome-based approach
Traditional cultivars of rice in India exhibit tolerance to drought stress due to their inherent genetic variations. Here we present comparative physiological and transcriptome analyses of two contrasting cultivars, drought tolerant Dhagaddeshi (DD) and susceptible IR20. Microarray analysis revealed...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5299611/ https://www.ncbi.nlm.nih.gov/pubmed/28181537 http://dx.doi.org/10.1038/srep42131 |
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author | Borah, Pratikshya Sharma, Eshan Kaur, Amarjot Chandel, Girish Mohapatra, Trilochan Kapoor, Sanjay Khurana, Jitendra P. |
author_facet | Borah, Pratikshya Sharma, Eshan Kaur, Amarjot Chandel, Girish Mohapatra, Trilochan Kapoor, Sanjay Khurana, Jitendra P. |
author_sort | Borah, Pratikshya |
collection | PubMed |
description | Traditional cultivars of rice in India exhibit tolerance to drought stress due to their inherent genetic variations. Here we present comparative physiological and transcriptome analyses of two contrasting cultivars, drought tolerant Dhagaddeshi (DD) and susceptible IR20. Microarray analysis revealed several differentially expressed genes (DEGs) exclusively in DD as compared to IR20 seedlings exposed to 3 h drought stress. Physiologically, DD seedlings showed higher cell membrane stability and differential ABA accumulation in response to dehydration, coupled with rapid changes in gene expression. Detailed analyses of metabolic pathways enriched in expression data suggest interplay of ABA dependent along with secondary and redox metabolic networks that activate osmotic and detoxification signalling in DD. By co-localization of DEGs with QTLs from databases or published literature for physiological traits of DD and IR20, candidate genes were identified including those underlying major QTL qDTY(1.1) in DD. Further, we identified previously uncharacterized genes from both DD and IR20 under drought conditions including OsWRKY51, OsVP1 and confirmed their expression by qPCR in multiple rice cultivars. OsFBK1 was also functionally validated in susceptible PB1 rice cultivar and Arabidopsis for providing drought tolerance. Some of the DEGs mapped to the known QTLs could thus, be of potential significance for marker-assisted breeding. |
format | Online Article Text |
id | pubmed-5299611 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-52996112017-02-13 Analysis of drought-responsive signalling network in two contrasting rice cultivars using transcriptome-based approach Borah, Pratikshya Sharma, Eshan Kaur, Amarjot Chandel, Girish Mohapatra, Trilochan Kapoor, Sanjay Khurana, Jitendra P. Sci Rep Article Traditional cultivars of rice in India exhibit tolerance to drought stress due to their inherent genetic variations. Here we present comparative physiological and transcriptome analyses of two contrasting cultivars, drought tolerant Dhagaddeshi (DD) and susceptible IR20. Microarray analysis revealed several differentially expressed genes (DEGs) exclusively in DD as compared to IR20 seedlings exposed to 3 h drought stress. Physiologically, DD seedlings showed higher cell membrane stability and differential ABA accumulation in response to dehydration, coupled with rapid changes in gene expression. Detailed analyses of metabolic pathways enriched in expression data suggest interplay of ABA dependent along with secondary and redox metabolic networks that activate osmotic and detoxification signalling in DD. By co-localization of DEGs with QTLs from databases or published literature for physiological traits of DD and IR20, candidate genes were identified including those underlying major QTL qDTY(1.1) in DD. Further, we identified previously uncharacterized genes from both DD and IR20 under drought conditions including OsWRKY51, OsVP1 and confirmed their expression by qPCR in multiple rice cultivars. OsFBK1 was also functionally validated in susceptible PB1 rice cultivar and Arabidopsis for providing drought tolerance. Some of the DEGs mapped to the known QTLs could thus, be of potential significance for marker-assisted breeding. Nature Publishing Group 2017-02-09 /pmc/articles/PMC5299611/ /pubmed/28181537 http://dx.doi.org/10.1038/srep42131 Text en Copyright © 2017, The Author(s) http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Borah, Pratikshya Sharma, Eshan Kaur, Amarjot Chandel, Girish Mohapatra, Trilochan Kapoor, Sanjay Khurana, Jitendra P. Analysis of drought-responsive signalling network in two contrasting rice cultivars using transcriptome-based approach |
title | Analysis of drought-responsive signalling network in two contrasting rice cultivars using transcriptome-based approach |
title_full | Analysis of drought-responsive signalling network in two contrasting rice cultivars using transcriptome-based approach |
title_fullStr | Analysis of drought-responsive signalling network in two contrasting rice cultivars using transcriptome-based approach |
title_full_unstemmed | Analysis of drought-responsive signalling network in two contrasting rice cultivars using transcriptome-based approach |
title_short | Analysis of drought-responsive signalling network in two contrasting rice cultivars using transcriptome-based approach |
title_sort | analysis of drought-responsive signalling network in two contrasting rice cultivars using transcriptome-based approach |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5299611/ https://www.ncbi.nlm.nih.gov/pubmed/28181537 http://dx.doi.org/10.1038/srep42131 |
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