Department of Horticulture and Crop Science, Ohio State University, Columbus, OH, 43210, USA.
Center for Applied Plant Sciences, Ohio State University, Columbus, OH, 43210, USA.
Plant Genome. 2021 Mar;14(1):e20063. doi: 10.1002/tpg2.20063. Epub 2020 Nov 16.
Phytophthora sojae causes Phytophthora root and stem rot of soybean and has been primarily managed through deployment of qualitative Resistance to P. sojae genes (Rps genes). The effectiveness of each individual or combination of Rps gene(s) depends on the diversity and pathotypes of the P. sojae populations present. Due to the complex nature of P. sojae populations, identification of more novel Rps genes is needed. In this study, phenotypic data from previous studies of 16 panels of plant introductions (PIs) were analyzed. Panels 1 and 2 consisted of 448 Glycine max and 520 G. soja, which had been evaluated for Rps gene response with a combination of P. sojae isolates. Panels 3 and 4 consisted of 429 and 460 G. max PIs, respectively, which had been evaluated using individual P. sojae isolates with complex virulence pathotypes. Finally, Panels 5-16 (376 G. max PIs) consisted of data deposited in the USDA Soybean Germplasm Collection from evaluations with 12 races of P. sojae. Using these panels, genome-wide association (GWA) analyses were carried out by combining phenotypic and SoySNP50K genotypic data. GWA models identified two, two, six, and seven novel Rps loci with Panels 1, 2, 3, and 4, respectively. A total of 58 novel Rps loci were identified using Panels 5-16. Genetic and phenotypic dissection of these loci may lead to the characterization of novel Rps genes that can be effectively deployed in new soybean cultivars against diverse P. sojae populations.
大豆疫霉引起大豆根腐和茎腐病，主要通过部署定性抗大豆疫霉基因（Rps 基因）来管理。每个 Rps 基因或其组合的有效性取决于存在的大豆疫霉种群的多样性和致病型。由于大豆疫霉种群的复杂性，需要识别更多新的 Rps 基因。在这项研究中，分析了之前对 16 组植物引种（PI）进行的研究的表型数据。第 1 组和第 2 组由 448 份大豆和 520 份大豆组成，这些大豆已经与大豆疫霉分离物组合进行了 Rps 基因反应评估。第 3 组和第 4 组分别由 429 和 460 份大豆 PI 组成，这些 PI 分别使用具有复杂毒性致病型的单个大豆疫霉分离物进行了评估。最后，第 5-16 组（376 份大豆 PI）由美国农业部大豆种质资源库中使用 12 个大豆疫霉种评估的数据组成。使用这些面板，通过结合表型和 SoySNP50K 基因型数据进行了全基因组关联（GWA）分析。GWA 模型分别在第 1、2、3 和 4 组中鉴定出两个、两个、六个和七个新的 Rps 基因座。使用第 5-16 组共鉴定出 58 个新的 Rps 基因座。这些基因座的遗传和表型剖析可能导致新的 Rps 基因的特征描述，这些基因可以有效地部署在新的大豆品种中，以对抗不同的大豆疫霉种群。
