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Identifying Quantitative Trait Loci and Candidate Genes Conferring Resistance to Soybean Mosaic Virus SC7 by Quantitative Trait Loci-Sequencing in Soybean
Soybean mosaic virus (SMV) is detrimental to soybean (Glycine max) breeding, seed quality, and yield worldwide. Improving the basic resistance of host plants is the most effective and economical method to reduce damage from SMV. Therefore, it is necessary to identify and clone novel SMV resistance g...
Autores principales: | , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8919070/ https://www.ncbi.nlm.nih.gov/pubmed/35295631 http://dx.doi.org/10.3389/fpls.2022.843633 |
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author | Zhang, Yong Song, Jiling Wang, Lei Yang, Mengping Hu, Kaifeng Li, Weiwei Sun, Xuhong Xue, Hong Dong, Quanzhong Zhang, Mingming Lou, Shubao Yang, Xingyong Du, Hao Li, Yongli Dong, Lidong Che, Zhijun Cheng, Qun |
author_facet | Zhang, Yong Song, Jiling Wang, Lei Yang, Mengping Hu, Kaifeng Li, Weiwei Sun, Xuhong Xue, Hong Dong, Quanzhong Zhang, Mingming Lou, Shubao Yang, Xingyong Du, Hao Li, Yongli Dong, Lidong Che, Zhijun Cheng, Qun |
author_sort | Zhang, Yong |
collection | PubMed |
description | Soybean mosaic virus (SMV) is detrimental to soybean (Glycine max) breeding, seed quality, and yield worldwide. Improving the basic resistance of host plants is the most effective and economical method to reduce damage from SMV. Therefore, it is necessary to identify and clone novel SMV resistance genes. Here, we report the characterization of two soybean cultivars, DN50 and XQD, with different levels of resistance to SMV. Compared with XQD, DN50 exhibits enhanced resistance to the SMV strain SC7. By combining bulked-segregant analysis (BSA)-seq and fine-mapping, we identified a novel resistance locus, R(SMV)-11, spanning an approximately 207-kb region on chromosome 11 and containing 25 annotated genes in the reference Williams 82 genome. Of these genes, we identified eleven with non-synonymous single-nucleotide polymorphisms (SNPs) or insertion-deletion mutations (InDels) in their coding regions between two parents. One gene, GmMATE68 (Glyma.11G028900), harbored a frameshift mutation. GmMATE68 encodes a multidrug and toxic compound extrusion (MATE) transporter that is expressed in all soybean tissues and is induced by SC7. Given that MATE transporter families have been reported to be linked with plant disease resistance, we suggest that GmMATE68 is responsible for SC7 resistance in DN50. Our results reveal a novel SMV-resistance locus, improving understanding of the genetics of soybean disease resistance and providing a potential new tool for marker-assisted selection breeding in soybean. |
format | Online Article Text |
id | pubmed-8919070 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-89190702022-03-15 Identifying Quantitative Trait Loci and Candidate Genes Conferring Resistance to Soybean Mosaic Virus SC7 by Quantitative Trait Loci-Sequencing in Soybean Zhang, Yong Song, Jiling Wang, Lei Yang, Mengping Hu, Kaifeng Li, Weiwei Sun, Xuhong Xue, Hong Dong, Quanzhong Zhang, Mingming Lou, Shubao Yang, Xingyong Du, Hao Li, Yongli Dong, Lidong Che, Zhijun Cheng, Qun Front Plant Sci Plant Science Soybean mosaic virus (SMV) is detrimental to soybean (Glycine max) breeding, seed quality, and yield worldwide. Improving the basic resistance of host plants is the most effective and economical method to reduce damage from SMV. Therefore, it is necessary to identify and clone novel SMV resistance genes. Here, we report the characterization of two soybean cultivars, DN50 and XQD, with different levels of resistance to SMV. Compared with XQD, DN50 exhibits enhanced resistance to the SMV strain SC7. By combining bulked-segregant analysis (BSA)-seq and fine-mapping, we identified a novel resistance locus, R(SMV)-11, spanning an approximately 207-kb region on chromosome 11 and containing 25 annotated genes in the reference Williams 82 genome. Of these genes, we identified eleven with non-synonymous single-nucleotide polymorphisms (SNPs) or insertion-deletion mutations (InDels) in their coding regions between two parents. One gene, GmMATE68 (Glyma.11G028900), harbored a frameshift mutation. GmMATE68 encodes a multidrug and toxic compound extrusion (MATE) transporter that is expressed in all soybean tissues and is induced by SC7. Given that MATE transporter families have been reported to be linked with plant disease resistance, we suggest that GmMATE68 is responsible for SC7 resistance in DN50. Our results reveal a novel SMV-resistance locus, improving understanding of the genetics of soybean disease resistance and providing a potential new tool for marker-assisted selection breeding in soybean. Frontiers Media S.A. 2022-02-28 /pmc/articles/PMC8919070/ /pubmed/35295631 http://dx.doi.org/10.3389/fpls.2022.843633 Text en Copyright © 2022 Zhang, Song, Wang, Yang, Hu, Li, Sun, Xue, Dong, Zhang, Lou, Yang, Du, Li, Dong, Che and Cheng. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Plant Science Zhang, Yong Song, Jiling Wang, Lei Yang, Mengping Hu, Kaifeng Li, Weiwei Sun, Xuhong Xue, Hong Dong, Quanzhong Zhang, Mingming Lou, Shubao Yang, Xingyong Du, Hao Li, Yongli Dong, Lidong Che, Zhijun Cheng, Qun Identifying Quantitative Trait Loci and Candidate Genes Conferring Resistance to Soybean Mosaic Virus SC7 by Quantitative Trait Loci-Sequencing in Soybean |
title | Identifying Quantitative Trait Loci and Candidate Genes Conferring Resistance to Soybean Mosaic Virus SC7 by Quantitative Trait Loci-Sequencing in Soybean |
title_full | Identifying Quantitative Trait Loci and Candidate Genes Conferring Resistance to Soybean Mosaic Virus SC7 by Quantitative Trait Loci-Sequencing in Soybean |
title_fullStr | Identifying Quantitative Trait Loci and Candidate Genes Conferring Resistance to Soybean Mosaic Virus SC7 by Quantitative Trait Loci-Sequencing in Soybean |
title_full_unstemmed | Identifying Quantitative Trait Loci and Candidate Genes Conferring Resistance to Soybean Mosaic Virus SC7 by Quantitative Trait Loci-Sequencing in Soybean |
title_short | Identifying Quantitative Trait Loci and Candidate Genes Conferring Resistance to Soybean Mosaic Virus SC7 by Quantitative Trait Loci-Sequencing in Soybean |
title_sort | identifying quantitative trait loci and candidate genes conferring resistance to soybean mosaic virus sc7 by quantitative trait loci-sequencing in soybean |
topic | Plant Science |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8919070/ https://www.ncbi.nlm.nih.gov/pubmed/35295631 http://dx.doi.org/10.3389/fpls.2022.843633 |
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