Yield-Related QTL Clusters and the Potential Candidate Genes in Two Wheat DH Populations

Article


Zhang, Jingjuan, She, Maoyun, Yang, Rongchang, Jiang, Yanjie, Qin, Yebo, Zhai, Shengnan, Balotf, Sadegh, Zhao, Yun, Jiang, Yanjie, Alhabbar, Zaid, Qin, Yebo, Chen, Jiansheng, Zhai, Shengnan, Liu, Qier, Zheng, Ting, Yang, Fan, Rong, Junkang, Chen, Kefei, Lu, Meiqin, ..., Ma, Wujun. 2021. "Yield-Related QTL Clusters and the Potential Candidate Genes in Two Wheat DH Populations." International Journal of Molecular Sciences. 22 (21). https://doi.org/10.3390/ijms222111934
Article Title

Yield-Related QTL Clusters and the Potential Candidate Genes in Two Wheat DH Populations

ERA Journal ID41930
Article CategoryArticle
AuthorsZhang, Jingjuan, She, Maoyun, Yang, Rongchang, Jiang, Yanjie, Qin, Yebo, Zhai, Shengnan, Balotf, Sadegh, Zhao, Yun, Jiang, Yanjie, Alhabbar, Zaid, Qin, Yebo, Chen, Jiansheng, Zhai, Shengnan, Liu, Qier, Zheng, Ting, Yang, Fan, Rong, Junkang, Chen, Kefei, Lu, Meiqin, Islam, Shahidul and Ma, Wujun
Journal TitleInternational Journal of Molecular Sciences
Journal Citation22 (21)
Article Number11934
Number of Pages33
YearNov 2021
PublisherMDPI AG
Place of PublicationSwitzerland
ISSN1422-0067
Digital Object Identifier (DOI)https://doi.org/10.3390/ijms222111934
Web Address (URL)https://www.mdpi.com/1422-0067/22/21/11934
Abstract

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.

Keywordsconsensus map; correlation; DH populations; grain yield-related traits; QTL; QTL cluster
Article Publishing Charge (APC) FundingProject Funding
Contains Sensitive ContentDoes not contain sensitive content
ANZSRC Field of Research 20203001. Agricultural biotechnology
Byline AffiliationsMurdoch University
University of Mosul, Iraq
Zhejiang Agriculture and Forestry University, China
Curtin University
Australian Grain Technologies, Australia
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