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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...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2021
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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. |
format | Online Article Text |
id | pubmed-8415402 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
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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