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Regional association analysis-based fine mapping of three clustered QTL for verticillium wilt resistance in cotton (G. hirsutum. L)
BACKGROUND: Verticillium wilt is one of the most destructive diseases affecting global cotton production. The most effective way to control wilt disease has been the development of new cotton varieties that are resistant to VW. VW-resistant Upland cotton cultivars have been created in both the USA a...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6389109/ https://www.ncbi.nlm.nih.gov/pubmed/28841857 http://dx.doi.org/10.1186/s12864-017-4074-y |
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author | Zhao, Yunlei Wang, Hongmei Chen, Wei Zhao, Pei Gong, Haiyan Sang, Xiaohui Cui, Yanli |
author_facet | Zhao, Yunlei Wang, Hongmei Chen, Wei Zhao, Pei Gong, Haiyan Sang, Xiaohui Cui, Yanli |
author_sort | Zhao, Yunlei |
collection | PubMed |
description | BACKGROUND: Verticillium wilt is one of the most destructive diseases affecting global cotton production. The most effective way to control wilt disease has been the development of new cotton varieties that are resistant to VW. VW-resistant Upland cotton cultivars have been created in both the USA and China by Gossypium barbadense introgression. More than 100 VW resistance quantitative trait loci have been detected. RESULTS: Three clustered VW resistance-related QTL were detected in a 120-line association population and assigned to a genome region of 14,653,469–55,190,112 bp in Dt_chr9. A regional association analysis-based fine-mapping strategy was developed to narrow down the confidence intervals of the above QTL. The estimated LD decay of the genome region of interest was much faster than those of the Dt_chr9 chromosome and the whole genome, suggesting the existence of a recombination hotspot. Thirty-seven haplotype blocks were detected. The confidence intervals of the three clustered QTL were narrowed down to a region of 937,906 bp involving QTL-i23734Gh and a region of 1,389,417 bp involving QTL- i10740Gh, respectively. Each region contained the strongest association signal. Comparative analysis redefined the confidence intervals of the other three QTLs, qDL52T2-c19, QTL-BNL4069, and QTL-JESPR0001. The broad-spectrum VW resistance QTL qVW-D9–1 was demonstrated to be closely linked with the three redefined QTL, QTL-i23734Gh, QTL- i10740Gh and QTL-JESPR0001. Twelve functional genes were detected to be located within the redefined confidence intervals of VW resistance QTL. The mRNA CotAD_60243, encoding E3 ubiquitin-protein ligase UPL2-like, responsible for plant innate immunity and broad-spectrum disease resistance, was found to be overlapped with the strongest association signal i10740Gh. Six mRNAs encoding putative disease-resistance proteins were within the redefined confidence interval of QTL-JESPR0001, suggesting a tandem arrangement of R genes. CONCLUSIONS: Our results proved that the VW resistance effect related to three clustered VW resistance-related QTL was actually controled by two redefined major QTL and severlal minor loci. The broad-spectrum VW resistance QTL qVW-D9–1 may be closely linked with the two redefined major QTLs. The tandem arrangement of R genes were detected in the redefined confidence interval of QTL-JESPR0001. The candidate genes obtained should be helpful in identifying and characterizing defense genes related to VW resistance QTL. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12864-017-4074-y) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6389109 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-63891092019-03-19 Regional association analysis-based fine mapping of three clustered QTL for verticillium wilt resistance in cotton (G. hirsutum. L) Zhao, Yunlei Wang, Hongmei Chen, Wei Zhao, Pei Gong, Haiyan Sang, Xiaohui Cui, Yanli BMC Genomics Research Article BACKGROUND: Verticillium wilt is one of the most destructive diseases affecting global cotton production. The most effective way to control wilt disease has been the development of new cotton varieties that are resistant to VW. VW-resistant Upland cotton cultivars have been created in both the USA and China by Gossypium barbadense introgression. More than 100 VW resistance quantitative trait loci have been detected. RESULTS: Three clustered VW resistance-related QTL were detected in a 120-line association population and assigned to a genome region of 14,653,469–55,190,112 bp in Dt_chr9. A regional association analysis-based fine-mapping strategy was developed to narrow down the confidence intervals of the above QTL. The estimated LD decay of the genome region of interest was much faster than those of the Dt_chr9 chromosome and the whole genome, suggesting the existence of a recombination hotspot. Thirty-seven haplotype blocks were detected. The confidence intervals of the three clustered QTL were narrowed down to a region of 937,906 bp involving QTL-i23734Gh and a region of 1,389,417 bp involving QTL- i10740Gh, respectively. Each region contained the strongest association signal. Comparative analysis redefined the confidence intervals of the other three QTLs, qDL52T2-c19, QTL-BNL4069, and QTL-JESPR0001. The broad-spectrum VW resistance QTL qVW-D9–1 was demonstrated to be closely linked with the three redefined QTL, QTL-i23734Gh, QTL- i10740Gh and QTL-JESPR0001. Twelve functional genes were detected to be located within the redefined confidence intervals of VW resistance QTL. The mRNA CotAD_60243, encoding E3 ubiquitin-protein ligase UPL2-like, responsible for plant innate immunity and broad-spectrum disease resistance, was found to be overlapped with the strongest association signal i10740Gh. Six mRNAs encoding putative disease-resistance proteins were within the redefined confidence interval of QTL-JESPR0001, suggesting a tandem arrangement of R genes. CONCLUSIONS: Our results proved that the VW resistance effect related to three clustered VW resistance-related QTL was actually controled by two redefined major QTL and severlal minor loci. The broad-spectrum VW resistance QTL qVW-D9–1 may be closely linked with the two redefined major QTLs. The tandem arrangement of R genes were detected in the redefined confidence interval of QTL-JESPR0001. The candidate genes obtained should be helpful in identifying and characterizing defense genes related to VW resistance QTL. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12864-017-4074-y) contains supplementary material, which is available to authorized users. BioMed Central 2017-08-25 /pmc/articles/PMC6389109/ /pubmed/28841857 http://dx.doi.org/10.1186/s12864-017-4074-y Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Zhao, Yunlei Wang, Hongmei Chen, Wei Zhao, Pei Gong, Haiyan Sang, Xiaohui Cui, Yanli Regional association analysis-based fine mapping of three clustered QTL for verticillium wilt resistance in cotton (G. hirsutum. L) |
title | Regional association analysis-based fine mapping of three clustered QTL for verticillium wilt resistance in cotton (G. hirsutum. L) |
title_full | Regional association analysis-based fine mapping of three clustered QTL for verticillium wilt resistance in cotton (G. hirsutum. L) |
title_fullStr | Regional association analysis-based fine mapping of three clustered QTL for verticillium wilt resistance in cotton (G. hirsutum. L) |
title_full_unstemmed | Regional association analysis-based fine mapping of three clustered QTL for verticillium wilt resistance in cotton (G. hirsutum. L) |
title_short | Regional association analysis-based fine mapping of three clustered QTL for verticillium wilt resistance in cotton (G. hirsutum. L) |
title_sort | regional association analysis-based fine mapping of three clustered qtl for verticillium wilt resistance in cotton (g. hirsutum. l) |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6389109/ https://www.ncbi.nlm.nih.gov/pubmed/28841857 http://dx.doi.org/10.1186/s12864-017-4074-y |
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