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Genome-wide association study of partial resistance to sclerotinia stem rot of cultivated soybean based on the detached leaf method

Sclerotinia stem rot (SSR) is a devastating fungal disease that causes severe yield losses of soybean worldwide. In the present study, a representative population of 185 soybean accessions was selected and utilized to identify the quantitative trait nucleotide (QTN) of partial resistance to soybean...

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Autores principales: Sun, Mingming, Jing, Yan, Zhao, Xue, Teng, Weili, Qiu, Lijuan, Zheng, Hongkun, Li, Wenbin, Han, Yingpeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7233537/
https://www.ncbi.nlm.nih.gov/pubmed/32421759
http://dx.doi.org/10.1371/journal.pone.0233366
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author Sun, Mingming
Jing, Yan
Zhao, Xue
Teng, Weili
Qiu, Lijuan
Zheng, Hongkun
Li, Wenbin
Han, Yingpeng
author_facet Sun, Mingming
Jing, Yan
Zhao, Xue
Teng, Weili
Qiu, Lijuan
Zheng, Hongkun
Li, Wenbin
Han, Yingpeng
author_sort Sun, Mingming
collection PubMed
description Sclerotinia stem rot (SSR) is a devastating fungal disease that causes severe yield losses of soybean worldwide. In the present study, a representative population of 185 soybean accessions was selected and utilized to identify the quantitative trait nucleotide (QTN) of partial resistance to soybean SSR via a genome-wide association study (GWAS). A total of 22,048 single-nucleotide polymorphisms (SNPs) with minor allele frequencies (MAF) > 5% and missing data < 3% were used to assess linkage disequilibrium (LD) levels. Association signals associated with SSR partial resistance were identified by two models, including compressed mixed linear model (CMLM) and multi-locus random-SNP-effect mixed linear model (mrMLM). Finally, seven QTNs with major effects (a known locus and six novel loci) via CMLM and nine novel QTNs with minor effects via mrMLM were detected in relation to partial resistance to SSR, respectively. One of all the novel loci (Gm05:14834789 on Chr.05), which was co-located by these two methods, might be a stable one that showed high significance in SSR partial resistance. Additionally, a total of 71 major and 85 minor candidate genes located in the 200-kb genomic region of each peak SNP detected by CMLM and mrMLM were found, respectively. By using a gene-based association, a total of six SNPs from three major effects genes and eight SNPs from four minor effects genes were identified. Of them, Glyma.18G012200 has been characterized as a significant element in controlling fungal disease in plants.
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spelling pubmed-72335372020-06-02 Genome-wide association study of partial resistance to sclerotinia stem rot of cultivated soybean based on the detached leaf method Sun, Mingming Jing, Yan Zhao, Xue Teng, Weili Qiu, Lijuan Zheng, Hongkun Li, Wenbin Han, Yingpeng PLoS One Research Article Sclerotinia stem rot (SSR) is a devastating fungal disease that causes severe yield losses of soybean worldwide. In the present study, a representative population of 185 soybean accessions was selected and utilized to identify the quantitative trait nucleotide (QTN) of partial resistance to soybean SSR via a genome-wide association study (GWAS). A total of 22,048 single-nucleotide polymorphisms (SNPs) with minor allele frequencies (MAF) > 5% and missing data < 3% were used to assess linkage disequilibrium (LD) levels. Association signals associated with SSR partial resistance were identified by two models, including compressed mixed linear model (CMLM) and multi-locus random-SNP-effect mixed linear model (mrMLM). Finally, seven QTNs with major effects (a known locus and six novel loci) via CMLM and nine novel QTNs with minor effects via mrMLM were detected in relation to partial resistance to SSR, respectively. One of all the novel loci (Gm05:14834789 on Chr.05), which was co-located by these two methods, might be a stable one that showed high significance in SSR partial resistance. Additionally, a total of 71 major and 85 minor candidate genes located in the 200-kb genomic region of each peak SNP detected by CMLM and mrMLM were found, respectively. By using a gene-based association, a total of six SNPs from three major effects genes and eight SNPs from four minor effects genes were identified. Of them, Glyma.18G012200 has been characterized as a significant element in controlling fungal disease in plants. Public Library of Science 2020-05-18 /pmc/articles/PMC7233537/ /pubmed/32421759 http://dx.doi.org/10.1371/journal.pone.0233366 Text en © 2020 Sun et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Sun, Mingming
Jing, Yan
Zhao, Xue
Teng, Weili
Qiu, Lijuan
Zheng, Hongkun
Li, Wenbin
Han, Yingpeng
Genome-wide association study of partial resistance to sclerotinia stem rot of cultivated soybean based on the detached leaf method
title Genome-wide association study of partial resistance to sclerotinia stem rot of cultivated soybean based on the detached leaf method
title_full Genome-wide association study of partial resistance to sclerotinia stem rot of cultivated soybean based on the detached leaf method
title_fullStr Genome-wide association study of partial resistance to sclerotinia stem rot of cultivated soybean based on the detached leaf method
title_full_unstemmed Genome-wide association study of partial resistance to sclerotinia stem rot of cultivated soybean based on the detached leaf method
title_short Genome-wide association study of partial resistance to sclerotinia stem rot of cultivated soybean based on the detached leaf method
title_sort genome-wide association study of partial resistance to sclerotinia stem rot of cultivated soybean based on the detached leaf method
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7233537/
https://www.ncbi.nlm.nih.gov/pubmed/32421759
http://dx.doi.org/10.1371/journal.pone.0233366
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