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Characterization of the stress associated microRNAs in Glycine max by deep sequencing
BACKGROUND: Plants involved in highly complex and well-coordinated systems have evolved a considerable degree of developmental plasticity, thus minimizing the damage caused by stress. MicroRNAs (miRNAs) have recently emerged as key regulators in gene regulation, developmental processes and stress to...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2011
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3267681/ https://www.ncbi.nlm.nih.gov/pubmed/22112171 http://dx.doi.org/10.1186/1471-2229-11-170 |
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author | Li, Haiyan Dong, Yuanyuan Yin, Hailong Wang, Nan Yang, Jing Liu, Xiuming Wang, Yanfang Wu, Jinyu Li, Xiaokun |
author_facet | Li, Haiyan Dong, Yuanyuan Yin, Hailong Wang, Nan Yang, Jing Liu, Xiuming Wang, Yanfang Wu, Jinyu Li, Xiaokun |
author_sort | Li, Haiyan |
collection | PubMed |
description | BACKGROUND: Plants involved in highly complex and well-coordinated systems have evolved a considerable degree of developmental plasticity, thus minimizing the damage caused by stress. MicroRNAs (miRNAs) have recently emerged as key regulators in gene regulation, developmental processes and stress tolerance in plants. RESULTS: In this study, soybean miRNAs associated with stress responses (drought, salinity, and alkalinity) have been identified and analyzed in combination with deep sequencing technology and in-depth bioinformatics analysis. One hundred and thirty three conserved miRNAs representing 95 miRNA families were expressed in soybeans under three treatments. In addition, 71, 50, and 45 miRNAs are either uniquely or differently expressed under drought, salinity, and alkalinity, respectively, suggesting that many miRNAs are inducible and are differentially expressed in response to certain stress. CONCLUSION: Our study has important implications for further identification of gene regulation under abiotic stresses and significantly contributes a complete profile of miRNAs in Glycine max. |
format | Online Article Text |
id | pubmed-3267681 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-32676812012-01-28 Characterization of the stress associated microRNAs in Glycine max by deep sequencing Li, Haiyan Dong, Yuanyuan Yin, Hailong Wang, Nan Yang, Jing Liu, Xiuming Wang, Yanfang Wu, Jinyu Li, Xiaokun BMC Plant Biol Research Article BACKGROUND: Plants involved in highly complex and well-coordinated systems have evolved a considerable degree of developmental plasticity, thus minimizing the damage caused by stress. MicroRNAs (miRNAs) have recently emerged as key regulators in gene regulation, developmental processes and stress tolerance in plants. RESULTS: In this study, soybean miRNAs associated with stress responses (drought, salinity, and alkalinity) have been identified and analyzed in combination with deep sequencing technology and in-depth bioinformatics analysis. One hundred and thirty three conserved miRNAs representing 95 miRNA families were expressed in soybeans under three treatments. In addition, 71, 50, and 45 miRNAs are either uniquely or differently expressed under drought, salinity, and alkalinity, respectively, suggesting that many miRNAs are inducible and are differentially expressed in response to certain stress. CONCLUSION: Our study has important implications for further identification of gene regulation under abiotic stresses and significantly contributes a complete profile of miRNAs in Glycine max. BioMed Central 2011-11-23 /pmc/articles/PMC3267681/ /pubmed/22112171 http://dx.doi.org/10.1186/1471-2229-11-170 Text en Copyright ©2011 Li et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Li, Haiyan Dong, Yuanyuan Yin, Hailong Wang, Nan Yang, Jing Liu, Xiuming Wang, Yanfang Wu, Jinyu Li, Xiaokun Characterization of the stress associated microRNAs in Glycine max by deep sequencing |
title | Characterization of the stress associated microRNAs in Glycine max by deep sequencing |
title_full | Characterization of the stress associated microRNAs in Glycine max by deep sequencing |
title_fullStr | Characterization of the stress associated microRNAs in Glycine max by deep sequencing |
title_full_unstemmed | Characterization of the stress associated microRNAs in Glycine max by deep sequencing |
title_short | Characterization of the stress associated microRNAs in Glycine max by deep sequencing |
title_sort | characterization of the stress associated micrornas in glycine max by deep sequencing |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3267681/ https://www.ncbi.nlm.nih.gov/pubmed/22112171 http://dx.doi.org/10.1186/1471-2229-11-170 |
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