Cargando…

QTL mapping for bacterial wilt resistance in peanut (Arachis hypogaea L.)

Bacterial wilt (BW) caused by Ralstonia solanacearum is a serious, global, disease of peanut (Arachis hypogaea L.), but it is especially destructive in China. Identification of DNA markers linked to the resistance to this disease will help peanut breeders efficiently develop resistant cultivars thro...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhao, Yongli, Zhang, Chong, Chen, Hua, Yuan, Mei, Nipper, Rick, Prakash, C. S., Zhuang, Weijian, He, Guohao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Netherlands 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4735223/
https://www.ncbi.nlm.nih.gov/pubmed/26869849
http://dx.doi.org/10.1007/s11032-015-0432-0
_version_ 1782413041198956544
author Zhao, Yongli
Zhang, Chong
Chen, Hua
Yuan, Mei
Nipper, Rick
Prakash, C. S.
Zhuang, Weijian
He, Guohao
author_facet Zhao, Yongli
Zhang, Chong
Chen, Hua
Yuan, Mei
Nipper, Rick
Prakash, C. S.
Zhuang, Weijian
He, Guohao
author_sort Zhao, Yongli
collection PubMed
description Bacterial wilt (BW) caused by Ralstonia solanacearum is a serious, global, disease of peanut (Arachis hypogaea L.), but it is especially destructive in China. Identification of DNA markers linked to the resistance to this disease will help peanut breeders efficiently develop resistant cultivars through molecular breeding. A F(2) population, from a cross between disease-resistant and disease-susceptible cultivars, was used to detect quantitative trait loci (QTL) associated with the resistance to this disease in the cultivated peanut. Genome-wide SNPs were identified from restriction-site-associated DNA sequencing tags using next-generation DNA sequencing technology. SNPs linked to disease resistance were determined in two bulks of 30 resistant and 30 susceptible plants along with two parental plants using bulk segregant analysis. Polymorphic SSR and SNP markers were utilized for construction of a linkage map and for performing the QTL analysis, and a moderately dense linkage map was constructed in the F(2) population. Two QTL (qBW-1 and qBW-2) detected for resistance to BW disease were located in the linkage groups LG1 and LG10 and account for 21 and 12 % of the bacterial wilt phenotypic variance. To confirm these QTL, the F(8) RIL population with 223 plants was utilized for genotyping and phenotyping plants by year and location as compared to the F(2) population. The QTL qBW-1 was consistent in the location of LG1 in the F(8) population though the QTL qBW-2 could not be clarified due to fewer markers used and mapped in LG10. The QTL qBW-1, including four linked SNP markers and one SSR marker within 14.4-cM interval in the F(8), was closely related to a disease resistance gene homolog and was considered as a candidate gene for resistance to BW. QTL identified in this study would be useful to conduct marker-assisted selection and may permit cloning of resistance genes. Our study shows that bulk segregant analysis of genome-wide SNPs is a useful approach to expedite the identification of genetic markers linked to disease resistance traits in the allotetraploidy species peanut. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s11032-015-0432-0) contains supplementary material, which is available to authorized users.
format Online
Article
Text
id pubmed-4735223
institution National Center for Biotechnology Information
language English
publishDate 2016
publisher Springer Netherlands
record_format MEDLINE/PubMed
spelling pubmed-47352232016-02-09 QTL mapping for bacterial wilt resistance in peanut (Arachis hypogaea L.) Zhao, Yongli Zhang, Chong Chen, Hua Yuan, Mei Nipper, Rick Prakash, C. S. Zhuang, Weijian He, Guohao Mol Breed Article Bacterial wilt (BW) caused by Ralstonia solanacearum is a serious, global, disease of peanut (Arachis hypogaea L.), but it is especially destructive in China. Identification of DNA markers linked to the resistance to this disease will help peanut breeders efficiently develop resistant cultivars through molecular breeding. A F(2) population, from a cross between disease-resistant and disease-susceptible cultivars, was used to detect quantitative trait loci (QTL) associated with the resistance to this disease in the cultivated peanut. Genome-wide SNPs were identified from restriction-site-associated DNA sequencing tags using next-generation DNA sequencing technology. SNPs linked to disease resistance were determined in two bulks of 30 resistant and 30 susceptible plants along with two parental plants using bulk segregant analysis. Polymorphic SSR and SNP markers were utilized for construction of a linkage map and for performing the QTL analysis, and a moderately dense linkage map was constructed in the F(2) population. Two QTL (qBW-1 and qBW-2) detected for resistance to BW disease were located in the linkage groups LG1 and LG10 and account for 21 and 12 % of the bacterial wilt phenotypic variance. To confirm these QTL, the F(8) RIL population with 223 plants was utilized for genotyping and phenotyping plants by year and location as compared to the F(2) population. The QTL qBW-1 was consistent in the location of LG1 in the F(8) population though the QTL qBW-2 could not be clarified due to fewer markers used and mapped in LG10. The QTL qBW-1, including four linked SNP markers and one SSR marker within 14.4-cM interval in the F(8), was closely related to a disease resistance gene homolog and was considered as a candidate gene for resistance to BW. QTL identified in this study would be useful to conduct marker-assisted selection and may permit cloning of resistance genes. Our study shows that bulk segregant analysis of genome-wide SNPs is a useful approach to expedite the identification of genetic markers linked to disease resistance traits in the allotetraploidy species peanut. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s11032-015-0432-0) contains supplementary material, which is available to authorized users. Springer Netherlands 2016-01-30 2016 /pmc/articles/PMC4735223/ /pubmed/26869849 http://dx.doi.org/10.1007/s11032-015-0432-0 Text en © The Author(s) 2016 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.
spellingShingle Article
Zhao, Yongli
Zhang, Chong
Chen, Hua
Yuan, Mei
Nipper, Rick
Prakash, C. S.
Zhuang, Weijian
He, Guohao
QTL mapping for bacterial wilt resistance in peanut (Arachis hypogaea L.)
title QTL mapping for bacterial wilt resistance in peanut (Arachis hypogaea L.)
title_full QTL mapping for bacterial wilt resistance in peanut (Arachis hypogaea L.)
title_fullStr QTL mapping for bacterial wilt resistance in peanut (Arachis hypogaea L.)
title_full_unstemmed QTL mapping for bacterial wilt resistance in peanut (Arachis hypogaea L.)
title_short QTL mapping for bacterial wilt resistance in peanut (Arachis hypogaea L.)
title_sort qtl mapping for bacterial wilt resistance in peanut (arachis hypogaea l.)
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4735223/
https://www.ncbi.nlm.nih.gov/pubmed/26869849
http://dx.doi.org/10.1007/s11032-015-0432-0
work_keys_str_mv AT zhaoyongli qtlmappingforbacterialwiltresistanceinpeanutarachishypogaeal
AT zhangchong qtlmappingforbacterialwiltresistanceinpeanutarachishypogaeal
AT chenhua qtlmappingforbacterialwiltresistanceinpeanutarachishypogaeal
AT yuanmei qtlmappingforbacterialwiltresistanceinpeanutarachishypogaeal
AT nipperrick qtlmappingforbacterialwiltresistanceinpeanutarachishypogaeal
AT prakashcs qtlmappingforbacterialwiltresistanceinpeanutarachishypogaeal
AT zhuangweijian qtlmappingforbacterialwiltresistanceinpeanutarachishypogaeal
AT heguohao qtlmappingforbacterialwiltresistanceinpeanutarachishypogaeal