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Genome-wide association study of drought tolerance and biomass allocation in wheat
Genome wide association studies (GWAS) are important in discerning the genetic architecture of complex traits such as biomass allocation for improving drought tolerance and carbon sequestration potential of wheat. The objectives of this study were to deduce the population structure and marker-trait...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6892492/ https://www.ncbi.nlm.nih.gov/pubmed/31800595 http://dx.doi.org/10.1371/journal.pone.0225383 |
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author | Mathew, Isack Shimelis, Hussein Shayanowako, Admire Isaac Tichafa Laing, Mark Chaplot, Vincent |
author_facet | Mathew, Isack Shimelis, Hussein Shayanowako, Admire Isaac Tichafa Laing, Mark Chaplot, Vincent |
author_sort | Mathew, Isack |
collection | PubMed |
description | Genome wide association studies (GWAS) are important in discerning the genetic architecture of complex traits such as biomass allocation for improving drought tolerance and carbon sequestration potential of wheat. The objectives of this study were to deduce the population structure and marker-trait association for biomass traits in wheat under drought-stressed and non-stressed conditions. A 100-wheat (Triticum aestivum L.) genotype panel was phenotyped for days to heading (DTH), days to maturity (DTM), shoot biomass (SB), root biomass (RB), root to shoot ratio (RS) and grain yield (GY). The panel was sequenced using 15,600 single nucleotide polymorphism (SNPs) markers and subjected to genetic analysis using the compressed mixed linear model (CMLM) at false discovery rate (FDR < 0.05). Population structure analysis revealed six sub-clusters with high membership ancestry coefficient of ≤0.65 to their assigned sub-clusters. A total of 75 significant marker-trait associations (MTAs) were identified with a linkage disequilibrium threshold of 0.38 at 5cM. Thirty-seven of the MTAs were detected under drought-stressed condition and 48% were on the B genome, where most quantitative trait loci (QTLs) for RB, SB and GY were previously identified. There were seven pleiotropic markers for RB and SB that may facilitate simultaneous selection. Thirty-seven putative candidate genes were mined by gene annotation on the IWGSC RefSeq 1.1. The significant MTAs observed in this study will be useful in devising strategies for marker-assisted breeding for simultaneous improvement of drought tolerance and to enhance C sequestration capacity of wheat. |
format | Online Article Text |
id | pubmed-6892492 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-68924922019-12-14 Genome-wide association study of drought tolerance and biomass allocation in wheat Mathew, Isack Shimelis, Hussein Shayanowako, Admire Isaac Tichafa Laing, Mark Chaplot, Vincent PLoS One Research Article Genome wide association studies (GWAS) are important in discerning the genetic architecture of complex traits such as biomass allocation for improving drought tolerance and carbon sequestration potential of wheat. The objectives of this study were to deduce the population structure and marker-trait association for biomass traits in wheat under drought-stressed and non-stressed conditions. A 100-wheat (Triticum aestivum L.) genotype panel was phenotyped for days to heading (DTH), days to maturity (DTM), shoot biomass (SB), root biomass (RB), root to shoot ratio (RS) and grain yield (GY). The panel was sequenced using 15,600 single nucleotide polymorphism (SNPs) markers and subjected to genetic analysis using the compressed mixed linear model (CMLM) at false discovery rate (FDR < 0.05). Population structure analysis revealed six sub-clusters with high membership ancestry coefficient of ≤0.65 to their assigned sub-clusters. A total of 75 significant marker-trait associations (MTAs) were identified with a linkage disequilibrium threshold of 0.38 at 5cM. Thirty-seven of the MTAs were detected under drought-stressed condition and 48% were on the B genome, where most quantitative trait loci (QTLs) for RB, SB and GY were previously identified. There were seven pleiotropic markers for RB and SB that may facilitate simultaneous selection. Thirty-seven putative candidate genes were mined by gene annotation on the IWGSC RefSeq 1.1. The significant MTAs observed in this study will be useful in devising strategies for marker-assisted breeding for simultaneous improvement of drought tolerance and to enhance C sequestration capacity of wheat. Public Library of Science 2019-12-04 /pmc/articles/PMC6892492/ /pubmed/31800595 http://dx.doi.org/10.1371/journal.pone.0225383 Text en © 2019 Mathew et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Mathew, Isack Shimelis, Hussein Shayanowako, Admire Isaac Tichafa Laing, Mark Chaplot, Vincent Genome-wide association study of drought tolerance and biomass allocation in wheat |
title | Genome-wide association study of drought tolerance and biomass allocation in wheat |
title_full | Genome-wide association study of drought tolerance and biomass allocation in wheat |
title_fullStr | Genome-wide association study of drought tolerance and biomass allocation in wheat |
title_full_unstemmed | Genome-wide association study of drought tolerance and biomass allocation in wheat |
title_short | Genome-wide association study of drought tolerance and biomass allocation in wheat |
title_sort | genome-wide association study of drought tolerance and biomass allocation in wheat |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6892492/ https://www.ncbi.nlm.nih.gov/pubmed/31800595 http://dx.doi.org/10.1371/journal.pone.0225383 |
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