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...
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-11-01
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| Series: | International Journal of Molecular Sciences |
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| Online Access: | https://www.mdpi.com/1422-0067/22/21/11934 |
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| author | Jingjuan Zhang Maoyun She Rongchang Yang Yanjie Jiang Yebo Qin Shengnan Zhai Sadegh Balotf Yun Zhao Masood Anwar Zaid Alhabbar Angéla Juhász Jiansheng Chen Hang Liu Qier Liu Ting Zheng Fan Yang Junkang Rong Kefei Chen Meiqin Lu Shahidul Islam Wujun Ma |
| author_facet | Jingjuan Zhang Maoyun She Rongchang Yang Yanjie Jiang Yebo Qin Shengnan Zhai Sadegh Balotf Yun Zhao Masood Anwar Zaid Alhabbar Angéla Juhász Jiansheng Chen Hang Liu Qier Liu Ting Zheng Fan Yang Junkang Rong Kefei Chen Meiqin Lu Shahidul Islam Wujun Ma |
| author_sort | Jingjuan Zhang |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-03-10T06:00:25Z |
| format | Article |
| id | doaj.art-2685d59ad1d84d348fc34f4522b7a9af |
| institution | Directory Open Access Journal |
| issn | 1661-6596 1422-0067 |
| language | English |
| last_indexed | 2024-03-10T06:00:25Z |
| publishDate | 2021-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | International Journal of Molecular Sciences |
| spelling | doaj.art-2685d59ad1d84d348fc34f4522b7a9af2023-11-22T21:00:09ZengMDPI AGInternational Journal of Molecular Sciences1661-65961422-00672021-11-0122211193410.3390/ijms222111934Yield-Related QTL Clusters and the Potential Candidate Genes in Two Wheat DH PopulationsJingjuan Zhang0Maoyun She1Rongchang Yang2Yanjie Jiang3Yebo Qin4Shengnan Zhai5Sadegh Balotf6Yun Zhao7Masood Anwar8Zaid Alhabbar9Angéla Juhász10Jiansheng Chen11Hang Liu12Qier Liu13Ting Zheng14Fan Yang15Junkang Rong16Kefei Chen17Meiqin Lu18Shahidul Islam19Wujun Ma20Australian-China Joint Centre for Wheat Improvement, Agricultural Sciences, College of Science, Health, Engineering and Education, Murdoch University, South Street, 90, Murdoch, WA 6150, AustraliaAustralian-China Joint Centre for Wheat Improvement, Agricultural Sciences, College of Science, Health, Engineering and Education, Murdoch University, South Street, 90, Murdoch, WA 6150, AustraliaAustralian-China Joint Centre for Wheat Improvement, Agricultural Sciences, College of Science, Health, Engineering and Education, Murdoch University, South Street, 90, Murdoch, WA 6150, AustraliaAustralian-China Joint Centre for Wheat Improvement, Agricultural Sciences, College of Science, Health, Engineering and Education, Murdoch University, South Street, 90, Murdoch, WA 6150, AustraliaAustralian-China Joint Centre for Wheat Improvement, Agricultural Sciences, College of Science, Health, Engineering and Education, Murdoch University, South Street, 90, Murdoch, WA 6150, AustraliaAustralian-China Joint Centre for Wheat Improvement, Agricultural Sciences, College of Science, Health, Engineering and Education, Murdoch University, South Street, 90, Murdoch, WA 6150, AustraliaAustralian-China Joint Centre for Wheat Improvement, Agricultural Sciences, College of Science, Health, Engineering and Education, Murdoch University, South Street, 90, Murdoch, WA 6150, AustraliaAustralian-China Joint Centre for Wheat Improvement, Agricultural Sciences, College of Science, Health, Engineering and Education, Murdoch University, South Street, 90, Murdoch, WA 6150, AustraliaAustralian-China Joint Centre for Wheat Improvement, Agricultural Sciences, College of Science, Health, Engineering and Education, Murdoch University, South Street, 90, Murdoch, WA 6150, AustraliaAustralian-China Joint Centre for Wheat Improvement, Agricultural Sciences, College of Science, Health, Engineering and Education, Murdoch University, South Street, 90, Murdoch, WA 6150, AustraliaAustralian-China Joint Centre for Wheat Improvement, Agricultural Sciences, College of Science, Health, Engineering and Education, Murdoch University, South Street, 90, Murdoch, WA 6150, AustraliaAustralian-China Joint Centre for Wheat Improvement, Agricultural Sciences, College of Science, Health, Engineering and Education, Murdoch University, South Street, 90, Murdoch, WA 6150, AustraliaAustralian-China Joint Centre for Wheat Improvement, Agricultural Sciences, College of Science, Health, Engineering and Education, Murdoch University, South Street, 90, Murdoch, WA 6150, AustraliaAustralian-China Joint Centre for Wheat Improvement, Agricultural Sciences, College of Science, Health, Engineering and Education, Murdoch University, South Street, 90, Murdoch, WA 6150, AustraliaAustralian-China Joint Centre for Wheat Improvement, Agricultural Sciences, College of Science, Health, Engineering and Education, Murdoch University, South Street, 90, Murdoch, WA 6150, AustraliaAustralian-China Joint Centre for Wheat Improvement, Agricultural Sciences, College of Science, Health, Engineering and Education, Murdoch University, South Street, 90, Murdoch, WA 6150, AustraliaCollege of Agriculture and Food, Zhejiang Agriculture and Forestry University, Hangzhou 311300, ChinaSAGI West, Faculty of Science and Engineering, Curtin University, Bentley, WA 6102, AustraliaAustralian Grain Technologies, Newell Highway, 12656, Locked Bag 1100, Narrabri, NSW 2390, AustraliaAustralian-China Joint Centre for Wheat Improvement, Agricultural Sciences, College of Science, Health, Engineering and Education, Murdoch University, South Street, 90, Murdoch, WA 6150, AustraliaAustralian-China Joint Centre for Wheat Improvement, Agricultural Sciences, College of Science, Health, Engineering and Education, Murdoch University, South Street, 90, Murdoch, WA 6150, AustraliaIn 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.https://www.mdpi.com/1422-0067/22/21/11934consensus mapcorrelationDH populationsgrain yield-related traitsQTLQTL cluster |
| spellingShingle | Jingjuan Zhang Maoyun She Rongchang Yang Yanjie Jiang Yebo Qin Shengnan Zhai Sadegh Balotf Yun Zhao Masood Anwar Zaid Alhabbar Angéla Juhász Jiansheng Chen Hang Liu Qier Liu Ting Zheng Fan Yang Junkang Rong Kefei Chen Meiqin Lu Shahidul Islam Wujun Ma Yield-Related QTL Clusters and the Potential Candidate Genes in Two Wheat DH Populations International Journal of Molecular Sciences consensus map correlation DH populations grain yield-related traits QTL QTL cluster |
| 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 | consensus map correlation DH populations grain yield-related traits QTL QTL cluster |
| url | https://www.mdpi.com/1422-0067/22/21/11934 |
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