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A Major Quantitative Trait Loci Cluster Controlling Three Components of Yield and Plant Height Identified on Chromosome 4B of Common Wheat

Wheat yield is not only affected by three components of yield, but also affected by plant height (PH). Identification and utilization of the quantitative trait loci (QTL) controlling these four traits is vitally important for breeding high-yielding wheat varieties. In this work, we conducted a QTL a...

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Autores principales: Wen, Shaozhe, Zhang, Minghu, Tu, Keling, Fan, Chaofeng, Tian, Shuai, Bi, Chan, Chen, Zelin, Zhao, Huanhuan, Wei, Chaoxiong, Shi, Xintian, Yu, Jiazheng, Sun, Qixin, You, Mingshan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8786729/
https://www.ncbi.nlm.nih.gov/pubmed/35087558
http://dx.doi.org/10.3389/fpls.2021.799520
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author Wen, Shaozhe
Zhang, Minghu
Tu, Keling
Fan, Chaofeng
Tian, Shuai
Bi, Chan
Chen, Zelin
Zhao, Huanhuan
Wei, Chaoxiong
Shi, Xintian
Yu, Jiazheng
Sun, Qixin
You, Mingshan
author_facet Wen, Shaozhe
Zhang, Minghu
Tu, Keling
Fan, Chaofeng
Tian, Shuai
Bi, Chan
Chen, Zelin
Zhao, Huanhuan
Wei, Chaoxiong
Shi, Xintian
Yu, Jiazheng
Sun, Qixin
You, Mingshan
author_sort Wen, Shaozhe
collection PubMed
description Wheat yield is not only affected by three components of yield, but also affected by plant height (PH). Identification and utilization of the quantitative trait loci (QTL) controlling these four traits is vitally important for breeding high-yielding wheat varieties. In this work, we conducted a QTL analysis using the recombinant inbred lines (RILs) derived from a cross between two winter wheat varieties of China, “Nongda981” (ND981) and “Nongda3097” (ND3097), exhibiting significant differences in spike number per unit area (SN), grain number per spike (GNS), thousand grain weight (TGW), and PH. A total of 11 environmentally stable QTL for these four traits were detected. Among them, four major and stable QTLs (QSn.cau-4B-1.1, QGns.cau-4B-1, QTgw.cau-4B-1.1, and QPh.cau-4B-1.2) explaining the highest phenotypic variance for SN, GNS, TGW, and PH, respectively, were mapped on the same genomic region of chromosome 4B and were considered a QTL cluster. The QTL cluster spanned a genetic distance of about 12.3 cM, corresponding to a physical distance of about 8.7 Mb. Then, the residual heterozygous line (RHL) was used for fine mapping of the QTL cluster. Finally, QSn.cau-4B-1.1, QGns.cau-4B-1, and QPh.cau-4B-1.2 were colocated to the physical interval of about 1.4 Mb containing 31 annotated high confidence genes. QTgw.cau-4B-1.1 was divided into two linked QTL with opposite effects. The elite NILs of the QTL cluster increased SN and PH by 55.71–74.82% and 14.73–23.54%, respectively, and increased GNS and TGW by 29.72–37.26% and 5.81–11.24% in two environments. Collectively, the QTL cluster for SN, GNS, TGW, and PH provides a theoretical basis for improving wheat yield, and the fine-mapping result will be beneficial for marker-assisted selection and candidate genes cloning.
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spelling pubmed-87867292022-01-26 A Major Quantitative Trait Loci Cluster Controlling Three Components of Yield and Plant Height Identified on Chromosome 4B of Common Wheat Wen, Shaozhe Zhang, Minghu Tu, Keling Fan, Chaofeng Tian, Shuai Bi, Chan Chen, Zelin Zhao, Huanhuan Wei, Chaoxiong Shi, Xintian Yu, Jiazheng Sun, Qixin You, Mingshan Front Plant Sci Plant Science Wheat yield is not only affected by three components of yield, but also affected by plant height (PH). Identification and utilization of the quantitative trait loci (QTL) controlling these four traits is vitally important for breeding high-yielding wheat varieties. In this work, we conducted a QTL analysis using the recombinant inbred lines (RILs) derived from a cross between two winter wheat varieties of China, “Nongda981” (ND981) and “Nongda3097” (ND3097), exhibiting significant differences in spike number per unit area (SN), grain number per spike (GNS), thousand grain weight (TGW), and PH. A total of 11 environmentally stable QTL for these four traits were detected. Among them, four major and stable QTLs (QSn.cau-4B-1.1, QGns.cau-4B-1, QTgw.cau-4B-1.1, and QPh.cau-4B-1.2) explaining the highest phenotypic variance for SN, GNS, TGW, and PH, respectively, were mapped on the same genomic region of chromosome 4B and were considered a QTL cluster. The QTL cluster spanned a genetic distance of about 12.3 cM, corresponding to a physical distance of about 8.7 Mb. Then, the residual heterozygous line (RHL) was used for fine mapping of the QTL cluster. Finally, QSn.cau-4B-1.1, QGns.cau-4B-1, and QPh.cau-4B-1.2 were colocated to the physical interval of about 1.4 Mb containing 31 annotated high confidence genes. QTgw.cau-4B-1.1 was divided into two linked QTL with opposite effects. The elite NILs of the QTL cluster increased SN and PH by 55.71–74.82% and 14.73–23.54%, respectively, and increased GNS and TGW by 29.72–37.26% and 5.81–11.24% in two environments. Collectively, the QTL cluster for SN, GNS, TGW, and PH provides a theoretical basis for improving wheat yield, and the fine-mapping result will be beneficial for marker-assisted selection and candidate genes cloning. Frontiers Media S.A. 2022-01-11 /pmc/articles/PMC8786729/ /pubmed/35087558 http://dx.doi.org/10.3389/fpls.2021.799520 Text en Copyright © 2022 Wen, Zhang, Tu, Fan, Tian, Bi, Chen, Zhao, Wei, Shi, Yu, Sun and You. 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
Wen, Shaozhe
Zhang, Minghu
Tu, Keling
Fan, Chaofeng
Tian, Shuai
Bi, Chan
Chen, Zelin
Zhao, Huanhuan
Wei, Chaoxiong
Shi, Xintian
Yu, Jiazheng
Sun, Qixin
You, Mingshan
A Major Quantitative Trait Loci Cluster Controlling Three Components of Yield and Plant Height Identified on Chromosome 4B of Common Wheat
title A Major Quantitative Trait Loci Cluster Controlling Three Components of Yield and Plant Height Identified on Chromosome 4B of Common Wheat
title_full A Major Quantitative Trait Loci Cluster Controlling Three Components of Yield and Plant Height Identified on Chromosome 4B of Common Wheat
title_fullStr A Major Quantitative Trait Loci Cluster Controlling Three Components of Yield and Plant Height Identified on Chromosome 4B of Common Wheat
title_full_unstemmed A Major Quantitative Trait Loci Cluster Controlling Three Components of Yield and Plant Height Identified on Chromosome 4B of Common Wheat
title_short A Major Quantitative Trait Loci Cluster Controlling Three Components of Yield and Plant Height Identified on Chromosome 4B of Common Wheat
title_sort major quantitative trait loci cluster controlling three components of yield and plant height identified on chromosome 4b of common wheat
topic Plant Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8786729/
https://www.ncbi.nlm.nih.gov/pubmed/35087558
http://dx.doi.org/10.3389/fpls.2021.799520
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