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Dissection of Genetic Basis Underpinning Kernel Weight-Related Traits in Common Wheat

Genetic dissection kernel weight-related traits is of great significance for improving wheat yield potential. As one of the three major yield components of wheat, thousand kernel weight (TKW) was mainly affected by grain length (GL) and grain width (GW). To uncover the key loci for these traits, we...

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Autores principales: Li, Shunda, Wang, Liang, Meng, Yaning, Hao, Yuanfeng, Xu, Hongxin, Hao, Min, Lan, Suque, Zhang, Yingjun, Lv, Liangjie, Zhang, Kai, Peng, Xiaohui, Lan, Caixia, Li, Xingpu, Zhang, Yelun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8103506/
https://www.ncbi.nlm.nih.gov/pubmed/33916985
http://dx.doi.org/10.3390/plants10040713
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author Li, Shunda
Wang, Liang
Meng, Yaning
Hao, Yuanfeng
Xu, Hongxin
Hao, Min
Lan, Suque
Zhang, Yingjun
Lv, Liangjie
Zhang, Kai
Peng, Xiaohui
Lan, Caixia
Li, Xingpu
Zhang, Yelun
author_facet Li, Shunda
Wang, Liang
Meng, Yaning
Hao, Yuanfeng
Xu, Hongxin
Hao, Min
Lan, Suque
Zhang, Yingjun
Lv, Liangjie
Zhang, Kai
Peng, Xiaohui
Lan, Caixia
Li, Xingpu
Zhang, Yelun
author_sort Li, Shunda
collection PubMed
description Genetic dissection kernel weight-related traits is of great significance for improving wheat yield potential. As one of the three major yield components of wheat, thousand kernel weight (TKW) was mainly affected by grain length (GL) and grain width (GW). To uncover the key loci for these traits, we carried out a quantitative trait loci (QTL) analysis of an F(6) recombinant inbred lines (RILs) population derived from a cross of Henong 5290 (small grain) and 06Dn23 (big grain) with a 50 K single nucleotide polymorphism (SNP) array. A total of 17 stable and big effect QTL, including 5 for TKW, 8 for GL and 4 for GW, were detected on the chromosomes 1B, 2A, 2B, 2D, 4B, 5A, 6A and 6D, respectively. Among these, there were two co-located loci for three traits that were mapped on the chromosome 4BS and 6AL. The QTL on 6AL was the most stable locus and explained 15.4–24.8%, 4.1–8.8% and 15.7–24.4% of TKW, GW and GL variance, respectively. In addition, two more major QTL of GL were located on chromosome arm 2BL and 2DL, accounting for 9.7–17.8% and 13.6–19.8% of phenotypic variance, respectively. In this study, we found one novel co-located QTL associated with GL and TKW in 2DL, QGl.haaf-2DL.2/QTkw.haaf-2DL.2, which could explain 13.6–19.8% and 9.8–10.7% phenotypic variance, respectively. Genetic regions and linked markers of these stable QTL will help to further refine mapping of the corresponding loci and marker-assisted selection (MAS) breeding for wheat grain yield potential improvement.
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spelling pubmed-81035062021-05-08 Dissection of Genetic Basis Underpinning Kernel Weight-Related Traits in Common Wheat Li, Shunda Wang, Liang Meng, Yaning Hao, Yuanfeng Xu, Hongxin Hao, Min Lan, Suque Zhang, Yingjun Lv, Liangjie Zhang, Kai Peng, Xiaohui Lan, Caixia Li, Xingpu Zhang, Yelun Plants (Basel) Article Genetic dissection kernel weight-related traits is of great significance for improving wheat yield potential. As one of the three major yield components of wheat, thousand kernel weight (TKW) was mainly affected by grain length (GL) and grain width (GW). To uncover the key loci for these traits, we carried out a quantitative trait loci (QTL) analysis of an F(6) recombinant inbred lines (RILs) population derived from a cross of Henong 5290 (small grain) and 06Dn23 (big grain) with a 50 K single nucleotide polymorphism (SNP) array. A total of 17 stable and big effect QTL, including 5 for TKW, 8 for GL and 4 for GW, were detected on the chromosomes 1B, 2A, 2B, 2D, 4B, 5A, 6A and 6D, respectively. Among these, there were two co-located loci for three traits that were mapped on the chromosome 4BS and 6AL. The QTL on 6AL was the most stable locus and explained 15.4–24.8%, 4.1–8.8% and 15.7–24.4% of TKW, GW and GL variance, respectively. In addition, two more major QTL of GL were located on chromosome arm 2BL and 2DL, accounting for 9.7–17.8% and 13.6–19.8% of phenotypic variance, respectively. In this study, we found one novel co-located QTL associated with GL and TKW in 2DL, QGl.haaf-2DL.2/QTkw.haaf-2DL.2, which could explain 13.6–19.8% and 9.8–10.7% phenotypic variance, respectively. Genetic regions and linked markers of these stable QTL will help to further refine mapping of the corresponding loci and marker-assisted selection (MAS) breeding for wheat grain yield potential improvement. MDPI 2021-04-07 /pmc/articles/PMC8103506/ /pubmed/33916985 http://dx.doi.org/10.3390/plants10040713 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Li, Shunda
Wang, Liang
Meng, Yaning
Hao, Yuanfeng
Xu, Hongxin
Hao, Min
Lan, Suque
Zhang, Yingjun
Lv, Liangjie
Zhang, Kai
Peng, Xiaohui
Lan, Caixia
Li, Xingpu
Zhang, Yelun
Dissection of Genetic Basis Underpinning Kernel Weight-Related Traits in Common Wheat
title Dissection of Genetic Basis Underpinning Kernel Weight-Related Traits in Common Wheat
title_full Dissection of Genetic Basis Underpinning Kernel Weight-Related Traits in Common Wheat
title_fullStr Dissection of Genetic Basis Underpinning Kernel Weight-Related Traits in Common Wheat
title_full_unstemmed Dissection of Genetic Basis Underpinning Kernel Weight-Related Traits in Common Wheat
title_short Dissection of Genetic Basis Underpinning Kernel Weight-Related Traits in Common Wheat
title_sort dissection of genetic basis underpinning kernel weight-related traits in common wheat
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8103506/
https://www.ncbi.nlm.nih.gov/pubmed/33916985
http://dx.doi.org/10.3390/plants10040713
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