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Whole genome sequence analysis of rice genotypes with contrasting response to salinity stress
Salinity is a major abiotic constraint for rice farming. Abundant natural variability exists in rice germplasm for salt tolerance traits. Since few studies focused on the genome level variation in rice genotypes with contrasting response to salt stress, genomic resequencing in diverse genetic materi...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7719167/ https://www.ncbi.nlm.nih.gov/pubmed/33277598 http://dx.doi.org/10.1038/s41598-020-78256-8 |
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author | Subudhi, Prasanta K. Shankar, Rama Jain, Mukesh |
author_facet | Subudhi, Prasanta K. Shankar, Rama Jain, Mukesh |
author_sort | Subudhi, Prasanta K. |
collection | PubMed |
description | Salinity is a major abiotic constraint for rice farming. Abundant natural variability exists in rice germplasm for salt tolerance traits. Since few studies focused on the genome level variation in rice genotypes with contrasting response to salt stress, genomic resequencing in diverse genetic materials is needed to elucidate the molecular basis of salt tolerance mechanisms. The whole genome sequences of two salt tolerant (Pokkali and Nona Bokra) and three salt sensitive (Bengal, Cocodrie, and IR64) rice genotypes were analyzed. A total of 413 million reads were generated with a mean genome coverage of 93% and mean sequencing depth of 18X. Analysis of the DNA polymorphisms revealed that 2347 nonsynonymous SNPs and 51 frameshift mutations could differentiate the salt tolerant from the salt sensitive genotypes. The integration of genome-wide polymorphism information with the QTL mapping and expression profiling data led to identification of 396 differentially expressed genes with large effect variants in the coding regions. These genes were involved in multiple salt tolerance mechanisms, such as ion transport, oxidative stress tolerance, signal transduction, and transcriptional regulation. The genome-wide DNA polymorphisms and the promising candidate genes identified in this study represent a valuable resource for molecular breeding of salt tolerant rice varieties. |
format | Online Article Text |
id | pubmed-7719167 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-77191672020-12-08 Whole genome sequence analysis of rice genotypes with contrasting response to salinity stress Subudhi, Prasanta K. Shankar, Rama Jain, Mukesh Sci Rep Article Salinity is a major abiotic constraint for rice farming. Abundant natural variability exists in rice germplasm for salt tolerance traits. Since few studies focused on the genome level variation in rice genotypes with contrasting response to salt stress, genomic resequencing in diverse genetic materials is needed to elucidate the molecular basis of salt tolerance mechanisms. The whole genome sequences of two salt tolerant (Pokkali and Nona Bokra) and three salt sensitive (Bengal, Cocodrie, and IR64) rice genotypes were analyzed. A total of 413 million reads were generated with a mean genome coverage of 93% and mean sequencing depth of 18X. Analysis of the DNA polymorphisms revealed that 2347 nonsynonymous SNPs and 51 frameshift mutations could differentiate the salt tolerant from the salt sensitive genotypes. The integration of genome-wide polymorphism information with the QTL mapping and expression profiling data led to identification of 396 differentially expressed genes with large effect variants in the coding regions. These genes were involved in multiple salt tolerance mechanisms, such as ion transport, oxidative stress tolerance, signal transduction, and transcriptional regulation. The genome-wide DNA polymorphisms and the promising candidate genes identified in this study represent a valuable resource for molecular breeding of salt tolerant rice varieties. Nature Publishing Group UK 2020-12-04 /pmc/articles/PMC7719167/ /pubmed/33277598 http://dx.doi.org/10.1038/s41598-020-78256-8 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Subudhi, Prasanta K. Shankar, Rama Jain, Mukesh Whole genome sequence analysis of rice genotypes with contrasting response to salinity stress |
title | Whole genome sequence analysis of rice genotypes with contrasting response to salinity stress |
title_full | Whole genome sequence analysis of rice genotypes with contrasting response to salinity stress |
title_fullStr | Whole genome sequence analysis of rice genotypes with contrasting response to salinity stress |
title_full_unstemmed | Whole genome sequence analysis of rice genotypes with contrasting response to salinity stress |
title_short | Whole genome sequence analysis of rice genotypes with contrasting response to salinity stress |
title_sort | whole genome sequence analysis of rice genotypes with contrasting response to salinity stress |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7719167/ https://www.ncbi.nlm.nih.gov/pubmed/33277598 http://dx.doi.org/10.1038/s41598-020-78256-8 |
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