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 ID | 41930 |
| Article Category | Article |
| Authors | 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, Islam, Shahidul and Ma, Wujun |
| Journal Title | International Journal of Molecular Sciences |
| Journal Citation | 22 (21) |
| Article Number | 11934 |
| Number of Pages | 33 |
| Year | 2021 |
| Publisher | MDPI AG |
| Place of Publication | Switzerland |
| ISSN | 1422-0067 |
| 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. |
| Keywords | consensus map; correlation; DH populations; grain yield-related traits; QTL; QTL cluster |
| Article Publishing Charge (APC) Funding | Project Funding |
| Contains Sensitive Content | Does not contain sensitive content |
| ANZSRC Field of Research 2020 | 3001. Agricultural biotechnology |
| Byline Affiliations | Murdoch University |
| University of Mosul, Iraq | |
| Zhejiang Agriculture and Forestry University, China | |
| Curtin University | |
| Australian Grain Technologies, Australia |
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