Molecular mapping and validation of quantitative trait loci for content of micronutrients in wheat grain
Manganese (Mn), iron (Fe), copper (Cu), zinc (Zn), and selenium (Se) are essential micronutrients for human health. However, the genetic basis for the content of Mn, Fe, Cu, Zn, and Se in wheat grains remains unclear. A recombinant inbred lines (RIL) population derived from Yangmai 4/Yanzhan 1 (YM4/...
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Frontiers Media S.A.
2025-01-01
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| author | Xiangdong Chen Junchao You Nannan Dong Di Wu Die Zhao Rui Yong Wenjing Hu |
| author_facet | Xiangdong Chen Junchao You Nannan Dong Di Wu Die Zhao Rui Yong Wenjing Hu |
| author_sort | Xiangdong Chen |
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| description | Manganese (Mn), iron (Fe), copper (Cu), zinc (Zn), and selenium (Se) are essential micronutrients for human health. However, the genetic basis for the content of Mn, Fe, Cu, Zn, and Se in wheat grains remains unclear. A recombinant inbred lines (RIL) population derived from Yangmai 4/Yanzhan 1 (YM4/YZ1) with wheat 55K single nucleotide polymorphism (SNP) arrays and micronutrient content of two environments was used to construct a genetic linkage map and dissect the quantitative trait loci (QTL) for the content of Mn, Fe, Cu, Zn, and Se in wheat. A total of 8 QTL were detected and located on chromosomes 1A, 1B, 2D, 4D, 7A, and 7D, respectively. Among them, QFe.yaas-2D and QSe.yaas-2D were co-located on chromosome 2D, while QMn.yaas-4D and QZn.yaas-4D were co-located on chromosome 4D, which were in the dwarfing locus of Rht-D1 region. The positive alleles of QCu.yaas-1A, QMn.yaas-1B, and QZn.yaas-7D were contributed by YZ1 and explained 7.66–19.92% of the phenotypic variances, while the positive alleles of QFe.yaas-2D, QSe.yaas-2D, QMn.yaas-4D, QZn.yaas-4D, and QCu.yaas-7A were contributed by YM4 and explained 5.77–20.11% of the phenotypic variances. The positive alleles of QCu.yaas-1A, QMn.yaas-1B, and QMn/Zn.yaas-4D increased TGW by 3.52%, 3.45%, and 7.51% respectively, while the positive alleles of QFe/Se.yaas-2D decreased TGW by 6.45%. Six SNP markers flanked the target QTL were converted into Kompetitive allele specific PCR (KASP) markers, and their effects were validated in a panel of one hundred and forty-nine wheat advanced lines. Twenty-five advanced lines harboring at least five positive alleles were identified in the validation populations. A total of 60 and 51 high-confidence annotated genes for QFe/Se.yaas-2D and QMn/Zn.yaas-4D were identified using the International Wheat Genome Sequencing Consortium Reference Sequence v2.1 (IWGSC RefSeq v2.1), respectively. Some genes in these two regions were involved in stress tolerance, growth development, Zn synthesis in plants. These results provide the basis for fine-mapping the target QTL of micronutrient content and marker-assisted selection in grain quality breeding programs. |
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| institution | Kabale University |
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| spelling | doaj-art-8c76e13c4a1941d1991db25dc3ad00c42025-01-17T06:50:42ZengFrontiers Media S.A.Frontiers in Plant Science1664-462X2025-01-011510.3389/fpls.2024.15224651522465Molecular mapping and validation of quantitative trait loci for content of micronutrients in wheat grainXiangdong Chen0Junchao You1Nannan Dong2Di Wu3Die Zhao4Rui Yong5Wenjing Hu6Henan Provincial Key Laboratory of Hybrid Wheat, School of Agriculture, Henan Institute of Science and Technology, Xinxiang, ChinaHenan Provincial Key Laboratory of Hybrid Wheat, School of Agriculture, Henan Institute of Science and Technology, Xinxiang, ChinaHenan Provincial Key Laboratory of Hybrid Wheat, School of Agriculture, Henan Institute of Science and Technology, Xinxiang, ChinaLixiahe Institute of Agriculture Sciences, Key Laboratory of Wheat Biology and Genetic Improvement for Low & Middle Yangtze Valley, Ministry of Agriculture and Rural Affairs, Yangzhou, Jiangsu, ChinaLixiahe Institute of Agriculture Sciences, Key Laboratory of Wheat Biology and Genetic Improvement for Low & Middle Yangtze Valley, Ministry of Agriculture and Rural Affairs, Yangzhou, Jiangsu, ChinaLixiahe Institute of Agriculture Sciences, Key Laboratory of Wheat Biology and Genetic Improvement for Low & Middle Yangtze Valley, Ministry of Agriculture and Rural Affairs, Yangzhou, Jiangsu, ChinaLixiahe Institute of Agriculture Sciences, Key Laboratory of Wheat Biology and Genetic Improvement for Low & Middle Yangtze Valley, Ministry of Agriculture and Rural Affairs, Yangzhou, Jiangsu, ChinaManganese (Mn), iron (Fe), copper (Cu), zinc (Zn), and selenium (Se) are essential micronutrients for human health. However, the genetic basis for the content of Mn, Fe, Cu, Zn, and Se in wheat grains remains unclear. A recombinant inbred lines (RIL) population derived from Yangmai 4/Yanzhan 1 (YM4/YZ1) with wheat 55K single nucleotide polymorphism (SNP) arrays and micronutrient content of two environments was used to construct a genetic linkage map and dissect the quantitative trait loci (QTL) for the content of Mn, Fe, Cu, Zn, and Se in wheat. A total of 8 QTL were detected and located on chromosomes 1A, 1B, 2D, 4D, 7A, and 7D, respectively. Among them, QFe.yaas-2D and QSe.yaas-2D were co-located on chromosome 2D, while QMn.yaas-4D and QZn.yaas-4D were co-located on chromosome 4D, which were in the dwarfing locus of Rht-D1 region. The positive alleles of QCu.yaas-1A, QMn.yaas-1B, and QZn.yaas-7D were contributed by YZ1 and explained 7.66–19.92% of the phenotypic variances, while the positive alleles of QFe.yaas-2D, QSe.yaas-2D, QMn.yaas-4D, QZn.yaas-4D, and QCu.yaas-7A were contributed by YM4 and explained 5.77–20.11% of the phenotypic variances. The positive alleles of QCu.yaas-1A, QMn.yaas-1B, and QMn/Zn.yaas-4D increased TGW by 3.52%, 3.45%, and 7.51% respectively, while the positive alleles of QFe/Se.yaas-2D decreased TGW by 6.45%. Six SNP markers flanked the target QTL were converted into Kompetitive allele specific PCR (KASP) markers, and their effects were validated in a panel of one hundred and forty-nine wheat advanced lines. Twenty-five advanced lines harboring at least five positive alleles were identified in the validation populations. A total of 60 and 51 high-confidence annotated genes for QFe/Se.yaas-2D and QMn/Zn.yaas-4D were identified using the International Wheat Genome Sequencing Consortium Reference Sequence v2.1 (IWGSC RefSeq v2.1), respectively. Some genes in these two regions were involved in stress tolerance, growth development, Zn synthesis in plants. These results provide the basis for fine-mapping the target QTL of micronutrient content and marker-assisted selection in grain quality breeding programs.https://www.frontiersin.org/articles/10.3389/fpls.2024.1522465/fullwheat (Triticum aestivum L.)micronutrientquantitative trait locimappingbreeding |
| spellingShingle | Xiangdong Chen Junchao You Nannan Dong Di Wu Die Zhao Rui Yong Wenjing Hu Molecular mapping and validation of quantitative trait loci for content of micronutrients in wheat grain Frontiers in Plant Science wheat (Triticum aestivum L.) micronutrient quantitative trait loci mapping breeding |
| title | Molecular mapping and validation of quantitative trait loci for content of micronutrients in wheat grain |
| title_full | Molecular mapping and validation of quantitative trait loci for content of micronutrients in wheat grain |
| title_fullStr | Molecular mapping and validation of quantitative trait loci for content of micronutrients in wheat grain |
| title_full_unstemmed | Molecular mapping and validation of quantitative trait loci for content of micronutrients in wheat grain |
| title_short | Molecular mapping and validation of quantitative trait loci for content of micronutrients in wheat grain |
| title_sort | molecular mapping and validation of quantitative trait loci for content of micronutrients in wheat grain |
| topic | wheat (Triticum aestivum L.) micronutrient quantitative trait loci mapping breeding |
| url | https://www.frontiersin.org/articles/10.3389/fpls.2024.1522465/full |
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