Cargando…
QTL detection and putative candidate gene prediction for leaf rolling under moisture stress condition in wheat
Leaf rolling is an important mechanism to mitigate the effects of moisture stress in several plant species. In the present study, a set of 92 wheat recombinant inbred lines derived from the cross between NI5439 × HD2012 were used to identify QTLs associated with leaf rolling under moisture stress co...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7596552/ https://www.ncbi.nlm.nih.gov/pubmed/33122772 http://dx.doi.org/10.1038/s41598-020-75703-4 |
_version_ | 1783602140705456128 |
---|---|
author | Verma, Aakriti Niranjana, M. Jha, S. K. Mallick, Niharika Agarwal, Priyanka Vinod |
author_facet | Verma, Aakriti Niranjana, M. Jha, S. K. Mallick, Niharika Agarwal, Priyanka Vinod |
author_sort | Verma, Aakriti |
collection | PubMed |
description | Leaf rolling is an important mechanism to mitigate the effects of moisture stress in several plant species. In the present study, a set of 92 wheat recombinant inbred lines derived from the cross between NI5439 × HD2012 were used to identify QTLs associated with leaf rolling under moisture stress condition. Linkage map was constructed using Axiom 35 K Breeder’s SNP Array and microsatellite (SSR) markers. A linkage map with 3661 markers comprising 3589 SNP and 72 SSR markers spanning 22,275.01 cM in length across 21 wheat chromosomes was constructed. QTL analysis for leaf rolling trait under moisture stress condition revealed 12 QTLs on chromosomes 1B, 2A, 2B, 2D, 3A, 4A, 4B, 5D, and 6B. A stable QTL Qlr.nhv-5D.2 was identified on 5D chromosome flanked by SNP marker interval AX-94892575–AX-95124447 (5D:338665301–5D:410952987). Genetic and physical map integration in the confidence intervals of Qlr.nhv-5D.2 revealed 14 putative candidate genes for drought tolerance which was narrowed down to six genes based on in-silico analysis. Comparative study of leaf rolling genes in rice viz., NRL1, OsZHD1, Roc5, and OsHB3 on wheat genome revealed five genes on chromosome 5D. Out of the identified genes, TraesCS5D02G253100 falls exactly in the QTL Qlr.nhv-5D.2 interval and showed 96.9% identity with OsZHD1. Two genes similar to OsHB3 viz. TraesCS5D02G052300 and TraesCS5D02G385300 exhibiting 85.6% and 91.8% identity; one gene TraesCS5D02G320600 having 83.9% identity with Roc5 gene; and one gene TraesCS5D02G102600 showing 100% identity with NRL1 gene were also identified, however, these genes are located outside Qlr.nhv-5D.2 interval. Hence, TraesCS5D02G253100 could be the best potential candidate gene for leaf rolling and can be utilized for improving drought tolerance in wheat. |
format | Online Article Text |
id | pubmed-7596552 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-75965522020-10-30 QTL detection and putative candidate gene prediction for leaf rolling under moisture stress condition in wheat Verma, Aakriti Niranjana, M. Jha, S. K. Mallick, Niharika Agarwal, Priyanka Vinod Sci Rep Article Leaf rolling is an important mechanism to mitigate the effects of moisture stress in several plant species. In the present study, a set of 92 wheat recombinant inbred lines derived from the cross between NI5439 × HD2012 were used to identify QTLs associated with leaf rolling under moisture stress condition. Linkage map was constructed using Axiom 35 K Breeder’s SNP Array and microsatellite (SSR) markers. A linkage map with 3661 markers comprising 3589 SNP and 72 SSR markers spanning 22,275.01 cM in length across 21 wheat chromosomes was constructed. QTL analysis for leaf rolling trait under moisture stress condition revealed 12 QTLs on chromosomes 1B, 2A, 2B, 2D, 3A, 4A, 4B, 5D, and 6B. A stable QTL Qlr.nhv-5D.2 was identified on 5D chromosome flanked by SNP marker interval AX-94892575–AX-95124447 (5D:338665301–5D:410952987). Genetic and physical map integration in the confidence intervals of Qlr.nhv-5D.2 revealed 14 putative candidate genes for drought tolerance which was narrowed down to six genes based on in-silico analysis. Comparative study of leaf rolling genes in rice viz., NRL1, OsZHD1, Roc5, and OsHB3 on wheat genome revealed five genes on chromosome 5D. Out of the identified genes, TraesCS5D02G253100 falls exactly in the QTL Qlr.nhv-5D.2 interval and showed 96.9% identity with OsZHD1. Two genes similar to OsHB3 viz. TraesCS5D02G052300 and TraesCS5D02G385300 exhibiting 85.6% and 91.8% identity; one gene TraesCS5D02G320600 having 83.9% identity with Roc5 gene; and one gene TraesCS5D02G102600 showing 100% identity with NRL1 gene were also identified, however, these genes are located outside Qlr.nhv-5D.2 interval. Hence, TraesCS5D02G253100 could be the best potential candidate gene for leaf rolling and can be utilized for improving drought tolerance in wheat. Nature Publishing Group UK 2020-10-29 /pmc/articles/PMC7596552/ /pubmed/33122772 http://dx.doi.org/10.1038/s41598-020-75703-4 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 Verma, Aakriti Niranjana, M. Jha, S. K. Mallick, Niharika Agarwal, Priyanka Vinod QTL detection and putative candidate gene prediction for leaf rolling under moisture stress condition in wheat |
title | QTL detection and putative candidate gene prediction for leaf rolling under moisture stress condition in wheat |
title_full | QTL detection and putative candidate gene prediction for leaf rolling under moisture stress condition in wheat |
title_fullStr | QTL detection and putative candidate gene prediction for leaf rolling under moisture stress condition in wheat |
title_full_unstemmed | QTL detection and putative candidate gene prediction for leaf rolling under moisture stress condition in wheat |
title_short | QTL detection and putative candidate gene prediction for leaf rolling under moisture stress condition in wheat |
title_sort | qtl detection and putative candidate gene prediction for leaf rolling under moisture stress condition in wheat |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7596552/ https://www.ncbi.nlm.nih.gov/pubmed/33122772 http://dx.doi.org/10.1038/s41598-020-75703-4 |
work_keys_str_mv | AT vermaaakriti qtldetectionandputativecandidategenepredictionforleafrollingundermoisturestressconditioninwheat AT niranjanam qtldetectionandputativecandidategenepredictionforleafrollingundermoisturestressconditioninwheat AT jhask qtldetectionandputativecandidategenepredictionforleafrollingundermoisturestressconditioninwheat AT mallickniharika qtldetectionandputativecandidategenepredictionforleafrollingundermoisturestressconditioninwheat AT agarwalpriyanka qtldetectionandputativecandidategenepredictionforleafrollingundermoisturestressconditioninwheat AT vinod qtldetectionandputativecandidategenepredictionforleafrollingundermoisturestressconditioninwheat |