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Mining germplasm panels and phenotypic datasets to identify loci for resistance to Phytophthora sojae in soybean
The Plant Genome ( IF 4.219 ) Pub Date : 2020-11-16 , DOI: 10.1002/tpg2.20063
Kyujung Van 1 , William Rolling 2 , Ruslan M Biyashev 3 , Rashelle L Matthiesen 4 , Nilwala S Abeysekara 4 , Alison E Robertson 4 , Deloris J Veney 5 , Anne E Dorrance 2, 5, 6 , Leah K McHale 1, 2, 6 , M A Saghai Maroof 3
Affiliation  

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.

中文翻译:

挖掘种质资源组和表型数据集,以确定大豆中大豆疫霉抗性的基因座

大豆疫霉导致大豆疫霉根和茎腐烂,主要通过部署大豆疫霉基因(Rps基因)的定性抗性来进行管理。每个个体或Rps基因组合的有效性取决于存在的酱油假单胞菌种群的多样性和致病型。由于酱油菌种群的复杂性需要鉴定更多新的Rps基因。在这项研究中,分析了来自 16 个植物引进 (PI) 小组的先前研究的表型数据。第 1 组和第 2 组由 448 Glycine max和 520 G. soja组成,它们已被评估为Rps基因反应与P. sojae分离株的组合。第 3 组和第 4 组分别由 429 和 460 个G. max PIs 组成,这些 PIs 已使用具有复杂毒力致病型的单个大豆假单胞菌分离株进行了评估。最后,第 5-16 组(376 G. max PIs)由保存在美国农业部大豆种质资源库中的数据组成,这些数据来自对 12 个大豆菌种的评估。使用这些面板,通过结合表型和 SoySNP50K 基因型数据进行全基因组关联 (GWA) 分析。GWA 模型分别用面板 1、2、3 和 4确定了两个、两个、六个和七个新的Rps基因座。共 58 篇小说Rps使用面板 5-16 鉴定基因座。这些基因座的遗传和表型分析可能会导致新的Rps基因的表征,这些基因可以有效地部署在新的大豆品种中,以对抗不同的大豆假单胞菌种群。
更新日期:2020-11-16
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