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Genome Wide Association Mapping of Resistance in Soybean with a Genotyping-by-Sequencing Approach

机译:基因组全基因组关联抗性的大豆基因组测序

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Sclerotinia stem rot (SSR) is one of the most important pests in cool soybean growing regions of the Northeastern United States and Canada. However, the intensity of infestations varies considerably from year to year according to weather conditions, thus making it difficult for breeders to select under uniform disease pressure. Selection for resistance to SSR would be greatly facilitated by the use of molecular markers. In this work, a collection of 130 lines was inoculated using the cotton pad method and was genetically characterized using a genotyping-by-sequencing (GBS) protocol optimized for soybean. Genome-wide association mapping (AM) and linkage disequilibrium (LD) analyses were performed with 7864 single nucleotide polymorphisms (SNPs). Linkage disequilibrium varied considerably over physical distance, reaching a r2 value of 0.2 after 8.5 Mb in the pericentromeric region and 0.5 Mb in the telomeric region. The mixed linear model (MLM) performed very well in accounting for population structure and relatedness, as only 5.5% of the observed p-values were 0.05. The strongest association was found on chromosome Gm15 (p-value = 1.38 × 10–6; q-value [adjusted p-value] = 0.011). Two additional SNP markers in the vicinity had a q-value 0.1. This marker was validated in the progeny of a biparental cross, where F4:6 lines carrying the susceptibility allele developed lesions 17.6 mm longer than lines carrying the resistance allele. Interestingly, other genes contributing to resistance to pathogens have been reported in this region of Gm15. Three other association peaks having a q-value 0.1 were detected on chromosomes Gm01, Gm19, and Gm20.
机译:核盘菌茎腐病(SSR)是美国东北部和加拿大的凉爽大豆种植区中最重要的害虫之一。然而,侵染的强度每年因天气状况而异,因此育种者很难在统一的疾病压力下进行选择。通过使用分子标记将大大促进对SSR抗性的选择。在这项工作中,使用棉垫方法接种了130个品系的集合,并使用针对大豆优化的基因分型测序(GBS)方案进行了遗传表征。全基因组关联映射(AM)和连锁不平衡(LD)分析使用7864个单核苷酸多态性(SNP)进行。连锁不平衡在物理距离上变化很大,在着丝粒区域8.5 Mb和端粒区域0.5 Mb后,r 2 值为0.2。混合线性模型(MLM)在解释人口结构和相关性方面表现很好,因为只有5.5%的观察到的p值<0.05。在Gm15染色体上发现最强的关联(p值= 1.38×10 –6 ; q值[调整后的p值] = 0.011)。附近的两个其他SNP标记的q值<0.1。该标记在双亲杂交的后代中得到了验证,其中携带敏感性等位基因的F 4:6 品系比携带抗性等位基因的品系长出了17.6 mm的病灶。有趣的是,在Gm15的这一区域还报道了其他有助于抵抗病原体的基因。在染色体Gm01,Gm19和Gm20上检测到q值<0.1的其他三个关联峰。

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