Zhao Yongli, Zhang Chong, Chen Hua, Yuan Mei, Nipper Rick, Prakash C S, Zhuang Weijian, He Guohao
Tuskegee University, Tuskegee, AL 36088 USA.
Key Laboratory of Crop Molecular and Cell Biology, Fujian Agriculture and Forestry University, Fuzhou, China.
Mol Breed. 2016;36:13. doi: 10.1007/s11032-015-0432-0. Epub 2016 Jan 30.
Bacterial wilt (BW) caused by is a serious, global, disease of peanut ( 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 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 population. Two QTL (-1 and -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 RIL population with 223 plants was utilized for genotyping and phenotyping plants by year and location as compared to the F population. The QTL -1 was consistent in the location of LG1 in the F population though the QTL -2 could not be clarified due to fewer markers used and mapped in LG10. The QTL -1, including four linked SNP markers and one SSR marker within 14.4-cM interval in the F, 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.
由[病原体名称未给出]引起的青枯病是花生([花生学名未给出])一种严重的全球性病害,但在中国危害尤其严重。鉴定与该病害抗性相关的DNA标记将有助于花生育种者通过分子育种高效培育抗病品种。利用一个由抗病品种和感病品种杂交产生的F群体,来检测栽培花生中与该病害抗性相关的数量性状位点(QTL)。使用下一代DNA测序技术从限制性位点关联DNA测序标签中鉴定全基因组单核苷酸多态性(SNP)。利用混合分离分析,在30株抗病和30株感病植株的两个混合群体以及两个亲本植株中确定与抗病性相关的SNP。利用多态性简单序列重复(SSR)和SNP标记构建连锁图谱并进行QTL分析,在F群体中构建了一个中等密度的连锁图谱。检测到的两个抗青枯病的QTL(-1和-2)位于连锁群LG1和LG10上,分别占青枯病表型变异的21%和12%。为了验证这些QTL,与F群体相比,利用包含223株植株的F重组自交系(RIL)群体按年份和地点对植株进行基因分型和表型分析。QTL -1在F群体中位于LG1的位置上是一致的,尽管由于在LG10中使用和定位的标记较少,QTL -2未能明确。QTL -1在F中包含14.4厘摩区间内的四个连锁SNP标记和一个SSR标记,与一个抗病基因同源物密切相关,被认为是抗青枯病的候选基因。本研究中鉴定的QTL将有助于进行标记辅助选择,并可能实现抗性基因的克隆。我们的研究表明,全基因组SNP的混合分离分析是加速鉴定异源四倍体花生中与抗病性状相关遗传标记的一种有用方法。