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A large‐scale genomic association analysis identifies the candidate causal genes conferring stripe rust resistance under multiple field environments
The incorporation of resistance genes into wheat commercial varieties is the ideal strategy to combat stripe or yellow rust (YR). In a search for novel resistance genes, we performed a large‐scale genomic association analysis with high‐density 660K single nucleotide polymorphism (SNP) arrays to dete...
Autores principales: | , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7769225/ https://www.ncbi.nlm.nih.gov/pubmed/32677132 http://dx.doi.org/10.1111/pbi.13452 |
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author | Wu, Jianhui Yu, Rui Wang, Haiying Zhou, Cai'e Huang, Shuo Jiao, Hanxuan Yu, Shizhou Nie, Xiaojun Wang, Qilin Liu, Shengjie Weining, Song Singh, Ravi Prakash Bhavani, Sridhar Kang, Zhensheng Han, Dejun Zeng, Qingdong |
author_facet | Wu, Jianhui Yu, Rui Wang, Haiying Zhou, Cai'e Huang, Shuo Jiao, Hanxuan Yu, Shizhou Nie, Xiaojun Wang, Qilin Liu, Shengjie Weining, Song Singh, Ravi Prakash Bhavani, Sridhar Kang, Zhensheng Han, Dejun Zeng, Qingdong |
author_sort | Wu, Jianhui |
collection | PubMed |
description | The incorporation of resistance genes into wheat commercial varieties is the ideal strategy to combat stripe or yellow rust (YR). In a search for novel resistance genes, we performed a large‐scale genomic association analysis with high‐density 660K single nucleotide polymorphism (SNP) arrays to determine the genetic components of YR resistance in 411 spring wheat lines. Following quality control, 371 972 SNPs were screened, covering over 50% of the high‐confidence annotated gene space. Nineteen stable genomic regions harbouring 292 significant SNPs were associated with adult‐plant YR resistance across nine environments. Of these, 14 SNPs were localized in the proximity of known loci widely used in breeding. Obvious candidate SNP variants were identified in certain confidence intervals, such as the cloned gene Yr18 and the major locus on chromosome 2BL, despite a large extent of linkage disequilibrium. The number of causal SNP variants was refined using an independent validation panel and consideration of the estimated functional importance of each nucleotide polymorphism. Interestingly, four natural polymorphisms causing amino acid changes in the gene TraesCS2B01G513100 that encodes a serine/threonine protein kinase (STPK) were significantly involved in YR responses. Gene expression and mutation analysis confirmed that STPK played an important role in YR resistance. PCR markers were developed to identify the favourable TraesCS2B01G513100 haplotype for marker‐assisted breeding. These results demonstrate that high‐resolution SNP‐based GWAS enables the rapid identification of putative resistance genes and can be used to improve the efficiency of marker‐assisted selection in wheat disease resistance breeding. |
format | Online Article Text |
id | pubmed-7769225 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-77692252020-12-30 A large‐scale genomic association analysis identifies the candidate causal genes conferring stripe rust resistance under multiple field environments Wu, Jianhui Yu, Rui Wang, Haiying Zhou, Cai'e Huang, Shuo Jiao, Hanxuan Yu, Shizhou Nie, Xiaojun Wang, Qilin Liu, Shengjie Weining, Song Singh, Ravi Prakash Bhavani, Sridhar Kang, Zhensheng Han, Dejun Zeng, Qingdong Plant Biotechnol J Research Articles The incorporation of resistance genes into wheat commercial varieties is the ideal strategy to combat stripe or yellow rust (YR). In a search for novel resistance genes, we performed a large‐scale genomic association analysis with high‐density 660K single nucleotide polymorphism (SNP) arrays to determine the genetic components of YR resistance in 411 spring wheat lines. Following quality control, 371 972 SNPs were screened, covering over 50% of the high‐confidence annotated gene space. Nineteen stable genomic regions harbouring 292 significant SNPs were associated with adult‐plant YR resistance across nine environments. Of these, 14 SNPs were localized in the proximity of known loci widely used in breeding. Obvious candidate SNP variants were identified in certain confidence intervals, such as the cloned gene Yr18 and the major locus on chromosome 2BL, despite a large extent of linkage disequilibrium. The number of causal SNP variants was refined using an independent validation panel and consideration of the estimated functional importance of each nucleotide polymorphism. Interestingly, four natural polymorphisms causing amino acid changes in the gene TraesCS2B01G513100 that encodes a serine/threonine protein kinase (STPK) were significantly involved in YR responses. Gene expression and mutation analysis confirmed that STPK played an important role in YR resistance. PCR markers were developed to identify the favourable TraesCS2B01G513100 haplotype for marker‐assisted breeding. These results demonstrate that high‐resolution SNP‐based GWAS enables the rapid identification of putative resistance genes and can be used to improve the efficiency of marker‐assisted selection in wheat disease resistance breeding. John Wiley and Sons Inc. 2020-09-03 2021-01 /pmc/articles/PMC7769225/ /pubmed/32677132 http://dx.doi.org/10.1111/pbi.13452 Text en © 2020 The Authors. Plant Biotechnology Journal published by Society for Experimental Biology and The Association of Applied Biologists and John Wiley & Sons Ltd. This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made. |
spellingShingle | Research Articles Wu, Jianhui Yu, Rui Wang, Haiying Zhou, Cai'e Huang, Shuo Jiao, Hanxuan Yu, Shizhou Nie, Xiaojun Wang, Qilin Liu, Shengjie Weining, Song Singh, Ravi Prakash Bhavani, Sridhar Kang, Zhensheng Han, Dejun Zeng, Qingdong A large‐scale genomic association analysis identifies the candidate causal genes conferring stripe rust resistance under multiple field environments |
title | A large‐scale genomic association analysis identifies the candidate causal genes conferring stripe rust resistance under multiple field environments |
title_full | A large‐scale genomic association analysis identifies the candidate causal genes conferring stripe rust resistance under multiple field environments |
title_fullStr | A large‐scale genomic association analysis identifies the candidate causal genes conferring stripe rust resistance under multiple field environments |
title_full_unstemmed | A large‐scale genomic association analysis identifies the candidate causal genes conferring stripe rust resistance under multiple field environments |
title_short | A large‐scale genomic association analysis identifies the candidate causal genes conferring stripe rust resistance under multiple field environments |
title_sort | large‐scale genomic association analysis identifies the candidate causal genes conferring stripe rust resistance under multiple field environments |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7769225/ https://www.ncbi.nlm.nih.gov/pubmed/32677132 http://dx.doi.org/10.1111/pbi.13452 |
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