Association analysis for agronomic traits in wheat under terminal heat stress

Terminal heat stress causes irreversible damage to wheat crop productivity. It reduces the vegetative growth and flowering period that consequently declines the efficiency to capture available stem reserves (carbohydrates) in grains. Markers associated with thermotolerant traits ease in marker assis...

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Autores principales: Khan, Adeel, Ahmad, Munir, Ahmed, Mukhtar, Gill, Kulvinder Singh, Akram, Zahid
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8626334/
https://www.ncbi.nlm.nih.gov/pubmed/34867044
http://dx.doi.org/10.1016/j.sjbs.2021.08.050
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author Khan, Adeel
Ahmad, Munir
Ahmed, Mukhtar
Gill, Kulvinder Singh
Akram, Zahid
author_facet Khan, Adeel
Ahmad, Munir
Ahmed, Mukhtar
Gill, Kulvinder Singh
Akram, Zahid
author_sort Khan, Adeel
collection PubMed
description Terminal heat stress causes irreversible damage to wheat crop productivity. It reduces the vegetative growth and flowering period that consequently declines the efficiency to capture available stem reserves (carbohydrates) in grains. Markers associated with thermotolerant traits ease in marker assisted selection (MAS) for crop improvement. It identifies the genomic regions associated with thermotolerant traits in wheat, but the scarcity of markers is the major hindrance in crop improvement. Therefore, 158 wheat genotypes were subjected to genotyping with 165 simple sequence repeat markers dispersed on three genomes (A, B and D). Allelic frequency and polymorphic information content values were highest on genome A (5.34 (14% greater than the lowest value at genome D) and 0.715 (3% greater than the lowest value at genome D)), chromosome 4 (5.40 (16% greater than the lowest value at chromosome 2) and 0.725 (5% greater than the lowest value at chromosome 6)) and marker xgwm44 (13.0 (84% greater than the lowest value at marker xbarc148) and 0.916 (46% greater than the lowest value at marker xbarc148)). Bayesian based population structure discriminated the wheat genotypes into seven groups based on genetic similarity indicating their ancestral origin and geographical ecotype. Linkage disequilibrium pattern had highest significant (P < 0.001) linked loci pairs 732 on genome A at r(2) > 0.1 whereas, 58 on genome B at r(2) > 0.5. Linkage disequilibrium decay (P < 0.01 and r(2) > 0.1) had larger LD block (5–10 cM) on genome A. Highly significant MTAs (P < 0.000061) under heat stress conditions were identified for flag leaf area (xwmc336), spikelet per spike (xwmc553), grains per spike (cxfa2147, xwmc418 and xwmc121), biomass (xbarc7) and grain yield (xcfa2147 and xwmc671). The identified markers in this study could facilitate in MAS and gene pyramiding against heat stress in wheat.
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spelling pubmed-86263342021-12-02 Association analysis for agronomic traits in wheat under terminal heat stress Khan, Adeel Ahmad, Munir Ahmed, Mukhtar Gill, Kulvinder Singh Akram, Zahid Saudi J Biol Sci Original Article Terminal heat stress causes irreversible damage to wheat crop productivity. It reduces the vegetative growth and flowering period that consequently declines the efficiency to capture available stem reserves (carbohydrates) in grains. Markers associated with thermotolerant traits ease in marker assisted selection (MAS) for crop improvement. It identifies the genomic regions associated with thermotolerant traits in wheat, but the scarcity of markers is the major hindrance in crop improvement. Therefore, 158 wheat genotypes were subjected to genotyping with 165 simple sequence repeat markers dispersed on three genomes (A, B and D). Allelic frequency and polymorphic information content values were highest on genome A (5.34 (14% greater than the lowest value at genome D) and 0.715 (3% greater than the lowest value at genome D)), chromosome 4 (5.40 (16% greater than the lowest value at chromosome 2) and 0.725 (5% greater than the lowest value at chromosome 6)) and marker xgwm44 (13.0 (84% greater than the lowest value at marker xbarc148) and 0.916 (46% greater than the lowest value at marker xbarc148)). Bayesian based population structure discriminated the wheat genotypes into seven groups based on genetic similarity indicating their ancestral origin and geographical ecotype. Linkage disequilibrium pattern had highest significant (P < 0.001) linked loci pairs 732 on genome A at r(2) > 0.1 whereas, 58 on genome B at r(2) > 0.5. Linkage disequilibrium decay (P < 0.01 and r(2) > 0.1) had larger LD block (5–10 cM) on genome A. Highly significant MTAs (P < 0.000061) under heat stress conditions were identified for flag leaf area (xwmc336), spikelet per spike (xwmc553), grains per spike (cxfa2147, xwmc418 and xwmc121), biomass (xbarc7) and grain yield (xcfa2147 and xwmc671). The identified markers in this study could facilitate in MAS and gene pyramiding against heat stress in wheat. Elsevier 2021-12 2021-08-23 /pmc/articles/PMC8626334/ /pubmed/34867044 http://dx.doi.org/10.1016/j.sjbs.2021.08.050 Text en © 2021 Published by Elsevier B.V. on behalf of King Saud University. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Original Article
Khan, Adeel
Ahmad, Munir
Ahmed, Mukhtar
Gill, Kulvinder Singh
Akram, Zahid
Association analysis for agronomic traits in wheat under terminal heat stress
title Association analysis for agronomic traits in wheat under terminal heat stress
title_full Association analysis for agronomic traits in wheat under terminal heat stress
title_fullStr Association analysis for agronomic traits in wheat under terminal heat stress
title_full_unstemmed Association analysis for agronomic traits in wheat under terminal heat stress
title_short Association analysis for agronomic traits in wheat under terminal heat stress
title_sort association analysis for agronomic traits in wheat under terminal heat stress
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8626334/
https://www.ncbi.nlm.nih.gov/pubmed/34867044
http://dx.doi.org/10.1016/j.sjbs.2021.08.050
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