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QTL mapping of yield components and kernel traits in wheat cultivars TAM 112 and Duster
In the Southern Great Plains, wheat cultivars have been selected for a combination of outstanding yield and drought tolerance as a long-term breeding goal. To understand the underlying genetic mechanisms, this study aimed to dissect the quantitative trait loci (QTL) associated with yield components...
Autores principales: | , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9768232/ https://www.ncbi.nlm.nih.gov/pubmed/36570880 http://dx.doi.org/10.3389/fpls.2022.1057701 |
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author | Wang, Zhen Dhakal, Smit Cerit, Mustafa Wang, Shichen Rauf, Yahya Yu, Shuhao Maulana, Frank Huang, Wangqi Anderson, Joshua D. Ma, Xue-Feng Rudd, Jackie C. Ibrahim, Amir M. H. Xue, Qingwu Hays, Dirk B. Bernardo, Amy St. Amand, Paul Bai, Guihua Baker, Jason Baker, Shannon Liu, Shuyu |
author_facet | Wang, Zhen Dhakal, Smit Cerit, Mustafa Wang, Shichen Rauf, Yahya Yu, Shuhao Maulana, Frank Huang, Wangqi Anderson, Joshua D. Ma, Xue-Feng Rudd, Jackie C. Ibrahim, Amir M. H. Xue, Qingwu Hays, Dirk B. Bernardo, Amy St. Amand, Paul Bai, Guihua Baker, Jason Baker, Shannon Liu, Shuyu |
author_sort | Wang, Zhen |
collection | PubMed |
description | In the Southern Great Plains, wheat cultivars have been selected for a combination of outstanding yield and drought tolerance as a long-term breeding goal. To understand the underlying genetic mechanisms, this study aimed to dissect the quantitative trait loci (QTL) associated with yield components and kernel traits in two wheat cultivars `TAM 112' and `Duster' under both irrigated and dryland environments. A set of 182 recombined inbred lines (RIL) derived from the cross of TAM 112/Duster were planted in 13 diverse environments for evaluation of 18 yield and kernel related traits. High-density genetic linkage map was constructed using 5,081 single nucleotide polymorphisms (SNPs) from genotyping-by-sequencing (GBS). QTL mapping analysis detected 134 QTL regions on all 21 wheat chromosomes, including 30 pleiotropic QTL regions and 21 consistent QTL regions, with 10 QTL regions in common. Three major pleiotropic QTL on the short arms of chromosomes 2B (57.5 - 61.6 Mbps), 2D (37.1 - 38.7 Mbps), and 7D (66.0 - 69.2 Mbps) colocalized with genes Ppd-B1, Ppd-D1, and FT-D1, respectively. And four consistent QTL associated with kernel length (KLEN), thousand kernel weight (TKW), plot grain yield (YLD), and kernel spike(-1) (KPS) (Qklen.tamu.1A.325, Qtkw.tamu.2B.137, Qyld.tamu.2D.3, and Qkps.tamu.6A.113) explained more than 5% of the phenotypic variation. QTL Qklen.tamu.1A.325 is a novel QTL with consistent effects under all tested environments. Marker haplotype analysis indicated the QTL combinations significantly increased yield and kernel traits. QTL and the linked markers identified in this study will facilitate future marker-assisted selection (MAS) for pyramiding the favorable alleles and QTL map-based cloning. |
format | Online Article Text |
id | pubmed-9768232 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-97682322022-12-22 QTL mapping of yield components and kernel traits in wheat cultivars TAM 112 and Duster Wang, Zhen Dhakal, Smit Cerit, Mustafa Wang, Shichen Rauf, Yahya Yu, Shuhao Maulana, Frank Huang, Wangqi Anderson, Joshua D. Ma, Xue-Feng Rudd, Jackie C. Ibrahim, Amir M. H. Xue, Qingwu Hays, Dirk B. Bernardo, Amy St. Amand, Paul Bai, Guihua Baker, Jason Baker, Shannon Liu, Shuyu Front Plant Sci Plant Science In the Southern Great Plains, wheat cultivars have been selected for a combination of outstanding yield and drought tolerance as a long-term breeding goal. To understand the underlying genetic mechanisms, this study aimed to dissect the quantitative trait loci (QTL) associated with yield components and kernel traits in two wheat cultivars `TAM 112' and `Duster' under both irrigated and dryland environments. A set of 182 recombined inbred lines (RIL) derived from the cross of TAM 112/Duster were planted in 13 diverse environments for evaluation of 18 yield and kernel related traits. High-density genetic linkage map was constructed using 5,081 single nucleotide polymorphisms (SNPs) from genotyping-by-sequencing (GBS). QTL mapping analysis detected 134 QTL regions on all 21 wheat chromosomes, including 30 pleiotropic QTL regions and 21 consistent QTL regions, with 10 QTL regions in common. Three major pleiotropic QTL on the short arms of chromosomes 2B (57.5 - 61.6 Mbps), 2D (37.1 - 38.7 Mbps), and 7D (66.0 - 69.2 Mbps) colocalized with genes Ppd-B1, Ppd-D1, and FT-D1, respectively. And four consistent QTL associated with kernel length (KLEN), thousand kernel weight (TKW), plot grain yield (YLD), and kernel spike(-1) (KPS) (Qklen.tamu.1A.325, Qtkw.tamu.2B.137, Qyld.tamu.2D.3, and Qkps.tamu.6A.113) explained more than 5% of the phenotypic variation. QTL Qklen.tamu.1A.325 is a novel QTL with consistent effects under all tested environments. Marker haplotype analysis indicated the QTL combinations significantly increased yield and kernel traits. QTL and the linked markers identified in this study will facilitate future marker-assisted selection (MAS) for pyramiding the favorable alleles and QTL map-based cloning. Frontiers Media S.A. 2022-12-07 /pmc/articles/PMC9768232/ /pubmed/36570880 http://dx.doi.org/10.3389/fpls.2022.1057701 Text en Copyright © 2022 Wang, Dhakal, Cerit, Wang, Rauf, Yu, Maulana, Huang, Anderson, Ma, Rudd, Ibrahim, Xue, Hays, Bernardo, St. Amand, Bai, Baker, Baker and Liu 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 Wang, Zhen Dhakal, Smit Cerit, Mustafa Wang, Shichen Rauf, Yahya Yu, Shuhao Maulana, Frank Huang, Wangqi Anderson, Joshua D. Ma, Xue-Feng Rudd, Jackie C. Ibrahim, Amir M. H. Xue, Qingwu Hays, Dirk B. Bernardo, Amy St. Amand, Paul Bai, Guihua Baker, Jason Baker, Shannon Liu, Shuyu QTL mapping of yield components and kernel traits in wheat cultivars TAM 112 and Duster |
title | QTL mapping of yield components and kernel traits in wheat cultivars TAM 112 and Duster |
title_full | QTL mapping of yield components and kernel traits in wheat cultivars TAM 112 and Duster |
title_fullStr | QTL mapping of yield components and kernel traits in wheat cultivars TAM 112 and Duster |
title_full_unstemmed | QTL mapping of yield components and kernel traits in wheat cultivars TAM 112 and Duster |
title_short | QTL mapping of yield components and kernel traits in wheat cultivars TAM 112 and Duster |
title_sort | qtl mapping of yield components and kernel traits in wheat cultivars tam 112 and duster |
topic | Plant Science |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9768232/ https://www.ncbi.nlm.nih.gov/pubmed/36570880 http://dx.doi.org/10.3389/fpls.2022.1057701 |
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