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Yield-Related QTL Clusters and the Potential Candidate Genes in Two Wheat DH Populations
In the present study, four large-scale field trials using two doubled haploid wheat populations were conducted in different environments for two years. Grain protein content (GPC) and 21 other yield-related traits were investigated. A total of 227 QTL were mapped on 18 chromosomes, which formed 35 Q...
Autores principales: | , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8585063/ https://www.ncbi.nlm.nih.gov/pubmed/34769361 http://dx.doi.org/10.3390/ijms222111934 |
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author | Zhang, Jingjuan She, Maoyun Yang, Rongchang Jiang, Yanjie Qin, Yebo Zhai, Shengnan Balotf, Sadegh Zhao, Yun Anwar, Masood Alhabbar, Zaid Juhász, Angéla Chen, Jiansheng Liu, Hang Liu, Qier Zheng, Ting Yang, Fan Rong, Junkang Chen, Kefei Lu, Meiqin Islam, Shahidul Ma, Wujun |
author_facet | Zhang, Jingjuan She, Maoyun Yang, Rongchang Jiang, Yanjie Qin, Yebo Zhai, Shengnan Balotf, Sadegh Zhao, Yun Anwar, Masood Alhabbar, Zaid Juhász, Angéla Chen, Jiansheng Liu, Hang Liu, Qier Zheng, Ting Yang, Fan Rong, Junkang Chen, Kefei Lu, Meiqin Islam, Shahidul Ma, Wujun |
author_sort | Zhang, Jingjuan |
collection | PubMed |
description | In the present study, four large-scale field trials using two doubled haploid wheat populations were conducted in different environments for two years. Grain protein content (GPC) and 21 other yield-related traits were investigated. A total of 227 QTL were mapped on 18 chromosomes, which formed 35 QTL clusters. The potential candidate genes underlying the QTL clusters were suggested. Furthermore, adding to the significant correlations between yield and its related traits, correlation variations were clearly shown within the QTL clusters. The QTL clusters with consistently positive correlations were suggested to be directly utilized in wheat breeding, including 1B.2, 2A.2, 2B (4.9–16.5 Mb), 2B.3, 3B (68.9–214.5 Mb), 4A.2, 4B.2, 4D, 5A.1, 5A.2, 5B.1, and 5D. The QTL clusters with negative alignments between traits may also have potential value for yield or GPC improvement in specific environments, including 1A.1, 2B.1, 1B.3, 5A.3, 5B.2 (612.1–613.6 Mb), 7A.1, 7A.2, 7B.1, and 7B.2. One GPC QTL (5B.2: 671.3–672.9 Mb) contributed by cultivar Spitfire was positively associated with nitrogen use efficiency or grain protein yield and is highly recommended for breeding use. Another GPC QTL without negatively pleiotropic effects on 2A (50.0–56.3 Mb), 2D, 4D, and 6B is suggested for quality wheat breeding. |
format | Online Article Text |
id | pubmed-8585063 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-85850632021-11-12 Yield-Related QTL Clusters and the Potential Candidate Genes in Two Wheat DH Populations Zhang, Jingjuan She, Maoyun Yang, Rongchang Jiang, Yanjie Qin, Yebo Zhai, Shengnan Balotf, Sadegh Zhao, Yun Anwar, Masood Alhabbar, Zaid Juhász, Angéla Chen, Jiansheng Liu, Hang Liu, Qier Zheng, Ting Yang, Fan Rong, Junkang Chen, Kefei Lu, Meiqin Islam, Shahidul Ma, Wujun Int J Mol Sci Article In the present study, four large-scale field trials using two doubled haploid wheat populations were conducted in different environments for two years. Grain protein content (GPC) and 21 other yield-related traits were investigated. A total of 227 QTL were mapped on 18 chromosomes, which formed 35 QTL clusters. The potential candidate genes underlying the QTL clusters were suggested. Furthermore, adding to the significant correlations between yield and its related traits, correlation variations were clearly shown within the QTL clusters. The QTL clusters with consistently positive correlations were suggested to be directly utilized in wheat breeding, including 1B.2, 2A.2, 2B (4.9–16.5 Mb), 2B.3, 3B (68.9–214.5 Mb), 4A.2, 4B.2, 4D, 5A.1, 5A.2, 5B.1, and 5D. The QTL clusters with negative alignments between traits may also have potential value for yield or GPC improvement in specific environments, including 1A.1, 2B.1, 1B.3, 5A.3, 5B.2 (612.1–613.6 Mb), 7A.1, 7A.2, 7B.1, and 7B.2. One GPC QTL (5B.2: 671.3–672.9 Mb) contributed by cultivar Spitfire was positively associated with nitrogen use efficiency or grain protein yield and is highly recommended for breeding use. Another GPC QTL without negatively pleiotropic effects on 2A (50.0–56.3 Mb), 2D, 4D, and 6B is suggested for quality wheat breeding. MDPI 2021-11-03 /pmc/articles/PMC8585063/ /pubmed/34769361 http://dx.doi.org/10.3390/ijms222111934 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 Zhang, Jingjuan She, Maoyun Yang, Rongchang Jiang, Yanjie Qin, Yebo Zhai, Shengnan Balotf, Sadegh Zhao, Yun Anwar, Masood Alhabbar, Zaid Juhász, Angéla Chen, Jiansheng Liu, Hang Liu, Qier Zheng, Ting Yang, Fan Rong, Junkang Chen, Kefei Lu, Meiqin Islam, Shahidul Ma, Wujun Yield-Related QTL Clusters and the Potential Candidate Genes in Two Wheat DH Populations |
title | Yield-Related QTL Clusters and the Potential Candidate Genes in Two Wheat DH Populations |
title_full | Yield-Related QTL Clusters and the Potential Candidate Genes in Two Wheat DH Populations |
title_fullStr | Yield-Related QTL Clusters and the Potential Candidate Genes in Two Wheat DH Populations |
title_full_unstemmed | Yield-Related QTL Clusters and the Potential Candidate Genes in Two Wheat DH Populations |
title_short | Yield-Related QTL Clusters and the Potential Candidate Genes in Two Wheat DH Populations |
title_sort | yield-related qtl clusters and the potential candidate genes in two wheat dh populations |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8585063/ https://www.ncbi.nlm.nih.gov/pubmed/34769361 http://dx.doi.org/10.3390/ijms222111934 |
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