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

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• 作者：Yongli Zhao ; Chong Zhang ; Hua Chen ; Mei Yuan ; Rick Nipper…
• 关键词：QTL analysis ; Bacterial wilt ; SNP ; SSR ; RAD sequencing ; BSA ; Resistance gene homolog ; Peanut
• 刊名：Molecular Breeding
• 出版年：2016
• 出版时间：February 2016
• 年：2016
• 卷：36
• 期：2
• 全文大小：711 KB
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• 作者单位：Yongli Zhao (1)
  Chong Zhang (2)
  Hua Chen (2)
  Mei Yuan (3)
  Rick Nipper (4)
  C. S. Prakash (1)
  Weijian Zhuang (2)
  Guohao He (1)
  
  1. Tuskegee University, Tuskegee, AL, 36088, USA
  2. Key Laboratory of Crop Molecular and Cell Biology, Fujian Agriculture and Forestry University, Fuzhou, China
  3. Shandong Peanut Research Institute, Qingdao, China
  4. Floragenex Inc., Portland, OR, 97239, USA
  
• 刊物类别：Biomedical and Life Sciences
• 刊物主题：Life Sciences
  Plant Sciences
  
• 出版者：Springer Netherlands
• ISSN：1572-9788

文摘

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 F₂ 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 F₂ 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 F₈ RIL population with 223 plants was utilized for genotyping and phenotyping plants by year and location as compared to the F₂ population. The QTL qBW-1 was consistent in the location of LG1 in the F₈ 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 F₈, 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. Keywords QTL analysis Bacterial wilt SNP SSR RAD sequencing BSA Resistance gene homolog Peanut