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Genome-Wide Association Study Reveals Genomic Regions Associated With Ten Agronomical Traits in Wheat Under Late-Sown Conditions

Poor understanding of the genetic and molecular basis of heat tolerance component traits is a major bottleneck in designing heat tolerant wheat cultivars. The impact of terminal heat stress is generally reported in the case of late sown wheat. In this study, our aim was to identify genomic regions f...

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Autores principales: Kumar, Sundeep, Kumari, Jyoti, Bhusal, Nabin, Pradhan, Anjan Kumar, Budhlakoti, Neeraj, Mishra, Dwijesh Chandra, Chauhan, Divya, Kumar, Suneel, Singh, Amit Kumar, Reynolds, Mathew, Singh, Gyanendra Pratap, Singh, Kuldeep, Sareen, Sindhu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7527491/
https://www.ncbi.nlm.nih.gov/pubmed/33042178
http://dx.doi.org/10.3389/fpls.2020.549743
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author Kumar, Sundeep
Kumari, Jyoti
Bhusal, Nabin
Pradhan, Anjan Kumar
Budhlakoti, Neeraj
Mishra, Dwijesh Chandra
Chauhan, Divya
Kumar, Suneel
Singh, Amit Kumar
Reynolds, Mathew
Singh, Gyanendra Pratap
Singh, Kuldeep
Sareen, Sindhu
author_facet Kumar, Sundeep
Kumari, Jyoti
Bhusal, Nabin
Pradhan, Anjan Kumar
Budhlakoti, Neeraj
Mishra, Dwijesh Chandra
Chauhan, Divya
Kumar, Suneel
Singh, Amit Kumar
Reynolds, Mathew
Singh, Gyanendra Pratap
Singh, Kuldeep
Sareen, Sindhu
author_sort Kumar, Sundeep
collection PubMed
description Poor understanding of the genetic and molecular basis of heat tolerance component traits is a major bottleneck in designing heat tolerant wheat cultivars. The impact of terminal heat stress is generally reported in the case of late sown wheat. In this study, our aim was to identify genomic regions for various agronomic traits under late sown conditions by using genome-wide association approach. An association mapping panel of 205 wheat accessions was evaluated under late sown conditions at three different locations in India. Genotyping of the association panel revealed 15,886 SNPs, out of which 11,911 SNPs with exact physical locations on the wheat reference genome were used in association analysis. A total of 69 QTLs (10 significantly associated and 59 suggestive) were identified for ten different traits including productive tiller number (17), grain yield (14), plant height (12), grain filling rate (6), grain filling duration (5), days to physiological maturity (4), grain number (3), thousand grain weight (3), harvest index (3), and biomass (2). Out of these associated QTLs, 17 were novel for traits, namely PTL (3), GY (2), GFR (6), HI (3) and GNM (3). Moreover, five consistent QTLs across environments were identified for GY (4) and TGW (1). Also, 11 multi-trait SNPs and three hot spot regions on Chr1Ds, Chr2BS, Chr2DS harboring many QTLs for many traits were identified. In addition, identification of heat tolerant germplasm lines based on favorable alleles HD2888, IC611071, IC611273, IC75240, IC321906, IC416188, and J31-170 would facilitate their targeted introgression into popular wheat cultivars. The significantly associated QTLs identified in the present study can be further validated to identify robust markers for utilization in marker-assisted selection (MAS) for development of heat tolerant wheat cultivars.
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spelling pubmed-75274912020-10-09 Genome-Wide Association Study Reveals Genomic Regions Associated With Ten Agronomical Traits in Wheat Under Late-Sown Conditions Kumar, Sundeep Kumari, Jyoti Bhusal, Nabin Pradhan, Anjan Kumar Budhlakoti, Neeraj Mishra, Dwijesh Chandra Chauhan, Divya Kumar, Suneel Singh, Amit Kumar Reynolds, Mathew Singh, Gyanendra Pratap Singh, Kuldeep Sareen, Sindhu Front Plant Sci Plant Science Poor understanding of the genetic and molecular basis of heat tolerance component traits is a major bottleneck in designing heat tolerant wheat cultivars. The impact of terminal heat stress is generally reported in the case of late sown wheat. In this study, our aim was to identify genomic regions for various agronomic traits under late sown conditions by using genome-wide association approach. An association mapping panel of 205 wheat accessions was evaluated under late sown conditions at three different locations in India. Genotyping of the association panel revealed 15,886 SNPs, out of which 11,911 SNPs with exact physical locations on the wheat reference genome were used in association analysis. A total of 69 QTLs (10 significantly associated and 59 suggestive) were identified for ten different traits including productive tiller number (17), grain yield (14), plant height (12), grain filling rate (6), grain filling duration (5), days to physiological maturity (4), grain number (3), thousand grain weight (3), harvest index (3), and biomass (2). Out of these associated QTLs, 17 were novel for traits, namely PTL (3), GY (2), GFR (6), HI (3) and GNM (3). Moreover, five consistent QTLs across environments were identified for GY (4) and TGW (1). Also, 11 multi-trait SNPs and three hot spot regions on Chr1Ds, Chr2BS, Chr2DS harboring many QTLs for many traits were identified. In addition, identification of heat tolerant germplasm lines based on favorable alleles HD2888, IC611071, IC611273, IC75240, IC321906, IC416188, and J31-170 would facilitate their targeted introgression into popular wheat cultivars. The significantly associated QTLs identified in the present study can be further validated to identify robust markers for utilization in marker-assisted selection (MAS) for development of heat tolerant wheat cultivars. Frontiers Media S.A. 2020-09-17 /pmc/articles/PMC7527491/ /pubmed/33042178 http://dx.doi.org/10.3389/fpls.2020.549743 Text en Copyright © 2020 Kumar, Kumari, Bhusal, Pradhan, Budhlakoti, Mishra, Chauhan, Kumar, Singh, Reynolds, Singh, Singh and Sareen http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Plant Science
Kumar, Sundeep
Kumari, Jyoti
Bhusal, Nabin
Pradhan, Anjan Kumar
Budhlakoti, Neeraj
Mishra, Dwijesh Chandra
Chauhan, Divya
Kumar, Suneel
Singh, Amit Kumar
Reynolds, Mathew
Singh, Gyanendra Pratap
Singh, Kuldeep
Sareen, Sindhu
Genome-Wide Association Study Reveals Genomic Regions Associated With Ten Agronomical Traits in Wheat Under Late-Sown Conditions
title Genome-Wide Association Study Reveals Genomic Regions Associated With Ten Agronomical Traits in Wheat Under Late-Sown Conditions
title_full Genome-Wide Association Study Reveals Genomic Regions Associated With Ten Agronomical Traits in Wheat Under Late-Sown Conditions
title_fullStr Genome-Wide Association Study Reveals Genomic Regions Associated With Ten Agronomical Traits in Wheat Under Late-Sown Conditions
title_full_unstemmed Genome-Wide Association Study Reveals Genomic Regions Associated With Ten Agronomical Traits in Wheat Under Late-Sown Conditions
title_short Genome-Wide Association Study Reveals Genomic Regions Associated With Ten Agronomical Traits in Wheat Under Late-Sown Conditions
title_sort genome-wide association study reveals genomic regions associated with ten agronomical traits in wheat under late-sown conditions
topic Plant Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7527491/
https://www.ncbi.nlm.nih.gov/pubmed/33042178
http://dx.doi.org/10.3389/fpls.2020.549743
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