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Genome-wide association mapping for component traits of drought and heat tolerance in wheat

Identification of marker trait association is a prerequisite for marker-assisted breeding. To find markers linked with traits under heat and drought stress in bread wheat (Triticum aestivum L.), we performed a genome-wide association study (GWAS). GWAS mapping panel used in this study consists of ad...

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Autores principales: Devate, Narayana Bhat, Krishna, Hari, Parmeshwarappa, Sunil Kumar V., Manjunath, Karthik Kumar, Chauhan, Divya, Singh, Shweta, Singh, Jang Bahadur, Kumar, Monu, Patil, Ravindra, Khan, Hanif, Jain, Neelu, Singh, Gyanendra Pratap, Singh, Pradeep Kumar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9429996/
https://www.ncbi.nlm.nih.gov/pubmed/36061792
http://dx.doi.org/10.3389/fpls.2022.943033
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author Devate, Narayana Bhat
Krishna, Hari
Parmeshwarappa, Sunil Kumar V.
Manjunath, Karthik Kumar
Chauhan, Divya
Singh, Shweta
Singh, Jang Bahadur
Kumar, Monu
Patil, Ravindra
Khan, Hanif
Jain, Neelu
Singh, Gyanendra Pratap
Singh, Pradeep Kumar
author_facet Devate, Narayana Bhat
Krishna, Hari
Parmeshwarappa, Sunil Kumar V.
Manjunath, Karthik Kumar
Chauhan, Divya
Singh, Shweta
Singh, Jang Bahadur
Kumar, Monu
Patil, Ravindra
Khan, Hanif
Jain, Neelu
Singh, Gyanendra Pratap
Singh, Pradeep Kumar
author_sort Devate, Narayana Bhat
collection PubMed
description Identification of marker trait association is a prerequisite for marker-assisted breeding. To find markers linked with traits under heat and drought stress in bread wheat (Triticum aestivum L.), we performed a genome-wide association study (GWAS). GWAS mapping panel used in this study consists of advanced breeding lines from the IARI stress breeding programme produced by pairwise and complex crosses. Phenotyping was done at multi locations namely New Delhi, Karnal, Indore, Jharkhand and Pune with augmented-RCBD design under different moisture and heat stress regimes, namely timely sown irrigated (IR), timely sown restricted irrigated (RI) and late sown (LS) conditions. Yield and its component traits, viz., Days to Heading (DH), Days to Maturity (DM), Normalized Difference Vegetation Index (NDVI), Chlorophyll Content (SPAD), Canopy temperature (CT), Plant Height (PH), Thousand grain weight (TGW), Grain weight per spike (GWPS), Plot Yield (PLTY) and Biomass (BMS) were phenotyped. Analysis of variance and descriptive statistics revealed significant differences among the studied traits. Genotyping was done using the 35k SNP Wheat Breeder's Genotyping Array. Population structure and diversity analysis using filtered 10,546 markers revealed two subpopulations with sufficient diversity. A large whole genome LD block size of 7.15 MB was obtained at half LD decay value. Genome-wide association search identified 57 unique markers associated with various traits across the locations. Twenty-three markers were identified to be stable, among them nine pleiotropic markers were also identified. In silico search of the identified markers against the IWGSC ref genome revealed the presence of a majority of the SNPs at or near the gene coding region. These SNPs can be used for marker-assisted transfer of genes/QTLs after validation to develop climate-resilient cultivars.
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spelling pubmed-94299962022-09-01 Genome-wide association mapping for component traits of drought and heat tolerance in wheat Devate, Narayana Bhat Krishna, Hari Parmeshwarappa, Sunil Kumar V. Manjunath, Karthik Kumar Chauhan, Divya Singh, Shweta Singh, Jang Bahadur Kumar, Monu Patil, Ravindra Khan, Hanif Jain, Neelu Singh, Gyanendra Pratap Singh, Pradeep Kumar Front Plant Sci Plant Science Identification of marker trait association is a prerequisite for marker-assisted breeding. To find markers linked with traits under heat and drought stress in bread wheat (Triticum aestivum L.), we performed a genome-wide association study (GWAS). GWAS mapping panel used in this study consists of advanced breeding lines from the IARI stress breeding programme produced by pairwise and complex crosses. Phenotyping was done at multi locations namely New Delhi, Karnal, Indore, Jharkhand and Pune with augmented-RCBD design under different moisture and heat stress regimes, namely timely sown irrigated (IR), timely sown restricted irrigated (RI) and late sown (LS) conditions. Yield and its component traits, viz., Days to Heading (DH), Days to Maturity (DM), Normalized Difference Vegetation Index (NDVI), Chlorophyll Content (SPAD), Canopy temperature (CT), Plant Height (PH), Thousand grain weight (TGW), Grain weight per spike (GWPS), Plot Yield (PLTY) and Biomass (BMS) were phenotyped. Analysis of variance and descriptive statistics revealed significant differences among the studied traits. Genotyping was done using the 35k SNP Wheat Breeder's Genotyping Array. Population structure and diversity analysis using filtered 10,546 markers revealed two subpopulations with sufficient diversity. A large whole genome LD block size of 7.15 MB was obtained at half LD decay value. Genome-wide association search identified 57 unique markers associated with various traits across the locations. Twenty-three markers were identified to be stable, among them nine pleiotropic markers were also identified. In silico search of the identified markers against the IWGSC ref genome revealed the presence of a majority of the SNPs at or near the gene coding region. These SNPs can be used for marker-assisted transfer of genes/QTLs after validation to develop climate-resilient cultivars. Frontiers Media S.A. 2022-08-16 /pmc/articles/PMC9429996/ /pubmed/36061792 http://dx.doi.org/10.3389/fpls.2022.943033 Text en Copyright © 2022 Devate, Krishna, Parmeshwarappa, Manjunath, Chauhan, Singh, Singh, Kumar, Patil, Khan, Jain, Singh and Singh. https://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
Devate, Narayana Bhat
Krishna, Hari
Parmeshwarappa, Sunil Kumar V.
Manjunath, Karthik Kumar
Chauhan, Divya
Singh, Shweta
Singh, Jang Bahadur
Kumar, Monu
Patil, Ravindra
Khan, Hanif
Jain, Neelu
Singh, Gyanendra Pratap
Singh, Pradeep Kumar
Genome-wide association mapping for component traits of drought and heat tolerance in wheat
title Genome-wide association mapping for component traits of drought and heat tolerance in wheat
title_full Genome-wide association mapping for component traits of drought and heat tolerance in wheat
title_fullStr Genome-wide association mapping for component traits of drought and heat tolerance in wheat
title_full_unstemmed Genome-wide association mapping for component traits of drought and heat tolerance in wheat
title_short Genome-wide association mapping for component traits of drought and heat tolerance in wheat
title_sort genome-wide association mapping for component traits of drought and heat tolerance in wheat
topic Plant Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9429996/
https://www.ncbi.nlm.nih.gov/pubmed/36061792
http://dx.doi.org/10.3389/fpls.2022.943033
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