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Mining germplasm panels and phenotypic datasets to identify loci for resistance to Phytophthora sojae in soybean
The Plant Genome
  • Kyujung Van, Ohio State University
  • William Rolling, Ohio State University
  • Ruslan M. Biyashev, Virginia Tech
  • Rashelle L. Matthiesen, Iowa State University
  • Nilwala S. Abeysekara, Iowa State University
  • Alison E. Robertson, Iowa State University
  • Deloris J. Veney, Ohio State University
  • Anne E. Dorrance, Ohio State University
  • Leah K. McHale, Ohio State University
  • M. A. Saghai Maroof, Virginia Tech
Document Type
Article
Publication Version
Published Version
Publication Date
3-1-2021
DOI
10.1002/tpg2.20063
Abstract

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.

Comments

This article is published as Van, Kyujung, William Rolling, Ruslan M. Biyashev, Rashelle L. Matthiesen, Nilwala S. Abeysekara, Alison E. Robertson, Deloris J. Veney, Anne E. Dorrance, Leah K. McHale, and M. A. Saghai Maroof. "Mining germplasm panels and phenotypic datasets to identify loci for resistance to Phytophthora sojae in soybean." The Plant Genome 14, no. 1 (2021): e20063. doi:10.1002/tpg2.20063.

Creative Commons License
Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International
Copyright Owner
The Authors
Language
en
File Format
application/pdf
Citation Information
Kyujung Van, William Rolling, Ruslan M. Biyashev, Rashelle L. Matthiesen, et al.. "Mining germplasm panels and phenotypic datasets to identify loci for resistance to Phytophthora sojae in soybean" The Plant Genome Vol. 14 Iss. 1 (2021) p. e20063
Available at: http://works.bepress.com/alison-robertson/294/