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Multi-Locus Genome-Wide Association Study of Four Yield-Related Traits in Chinese Wheat Landraces

Wheat (Triticum aestivum L.) is one of the most important crops in the world. Here, four yield-related traits, namely, spike length, spikelets number, tillers number, and thousand-kernel weight, were evaluated in 272 Chinese wheat landraces in multiple environments. Five multi-locus genome-wide asso...

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Autores principales: Lin, Yu, Zhou, Kunyu, Hu, Haiyan, Jiang, Xiaojun, Yu, Shifan, Wang, Qing, Li, Caixia, Ma, Jian, Chen, Guangdeng, Yang, Zisong, Liu, Yaxi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8415402/
https://www.ncbi.nlm.nih.gov/pubmed/34484253
http://dx.doi.org/10.3389/fpls.2021.665122
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author Lin, Yu
Zhou, Kunyu
Hu, Haiyan
Jiang, Xiaojun
Yu, Shifan
Wang, Qing
Li, Caixia
Ma, Jian
Chen, Guangdeng
Yang, Zisong
Liu, Yaxi
author_facet Lin, Yu
Zhou, Kunyu
Hu, Haiyan
Jiang, Xiaojun
Yu, Shifan
Wang, Qing
Li, Caixia
Ma, Jian
Chen, Guangdeng
Yang, Zisong
Liu, Yaxi
author_sort Lin, Yu
collection PubMed
description Wheat (Triticum aestivum L.) is one of the most important crops in the world. Here, four yield-related traits, namely, spike length, spikelets number, tillers number, and thousand-kernel weight, were evaluated in 272 Chinese wheat landraces in multiple environments. Five multi-locus genome-wide association studies (FASTmrEMMA, ISIS EN-BLASSO, mrMLM, pKWmEB, and pLARmEB) were performed using 172,711 single-nucleotide polymorphisms (SNPs) to identify yield-related quantitative trait loci (QTL). A total of 27 robust QTL were identified by more than three models. Nine of these QTL were consistent with those in previous studies. The remaining 18 QTL may be novel. We identified a major QTL, QTkw.sicau-4B, with up to 18.78% of phenotypic variation explained. The developed kompetitive allele-specific polymerase chain reaction marker for QTkw.sicau-4B was validated in two recombinant inbred line populations with an average phenotypic difference of 16.07%. After combined homologous function annotation and expression analysis, TraesCS4B01G272300 was the most likely candidate gene for QTkw.sicau-4B. Our findings provide new insights into the genetic basis of yield-related traits and offer valuable QTL to breed wheat cultivars via marker-assisted selection.
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spelling pubmed-84154022021-09-04 Multi-Locus Genome-Wide Association Study of Four Yield-Related Traits in Chinese Wheat Landraces Lin, Yu Zhou, Kunyu Hu, Haiyan Jiang, Xiaojun Yu, Shifan Wang, Qing Li, Caixia Ma, Jian Chen, Guangdeng Yang, Zisong Liu, Yaxi Front Plant Sci Plant Science Wheat (Triticum aestivum L.) is one of the most important crops in the world. Here, four yield-related traits, namely, spike length, spikelets number, tillers number, and thousand-kernel weight, were evaluated in 272 Chinese wheat landraces in multiple environments. Five multi-locus genome-wide association studies (FASTmrEMMA, ISIS EN-BLASSO, mrMLM, pKWmEB, and pLARmEB) were performed using 172,711 single-nucleotide polymorphisms (SNPs) to identify yield-related quantitative trait loci (QTL). A total of 27 robust QTL were identified by more than three models. Nine of these QTL were consistent with those in previous studies. The remaining 18 QTL may be novel. We identified a major QTL, QTkw.sicau-4B, with up to 18.78% of phenotypic variation explained. The developed kompetitive allele-specific polymerase chain reaction marker for QTkw.sicau-4B was validated in two recombinant inbred line populations with an average phenotypic difference of 16.07%. After combined homologous function annotation and expression analysis, TraesCS4B01G272300 was the most likely candidate gene for QTkw.sicau-4B. Our findings provide new insights into the genetic basis of yield-related traits and offer valuable QTL to breed wheat cultivars via marker-assisted selection. Frontiers Media S.A. 2021-08-16 /pmc/articles/PMC8415402/ /pubmed/34484253 http://dx.doi.org/10.3389/fpls.2021.665122 Text en Copyright © 2021 Lin, Zhou, Hu, Jiang, Yu, Wang, Li, Ma, Chen, Yang 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
Lin, Yu
Zhou, Kunyu
Hu, Haiyan
Jiang, Xiaojun
Yu, Shifan
Wang, Qing
Li, Caixia
Ma, Jian
Chen, Guangdeng
Yang, Zisong
Liu, Yaxi
Multi-Locus Genome-Wide Association Study of Four Yield-Related Traits in Chinese Wheat Landraces
title Multi-Locus Genome-Wide Association Study of Four Yield-Related Traits in Chinese Wheat Landraces
title_full Multi-Locus Genome-Wide Association Study of Four Yield-Related Traits in Chinese Wheat Landraces
title_fullStr Multi-Locus Genome-Wide Association Study of Four Yield-Related Traits in Chinese Wheat Landraces
title_full_unstemmed Multi-Locus Genome-Wide Association Study of Four Yield-Related Traits in Chinese Wheat Landraces
title_short Multi-Locus Genome-Wide Association Study of Four Yield-Related Traits in Chinese Wheat Landraces
title_sort multi-locus genome-wide association study of four yield-related traits in chinese wheat landraces
topic Plant Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8415402/
https://www.ncbi.nlm.nih.gov/pubmed/34484253
http://dx.doi.org/10.3389/fpls.2021.665122
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