Characterization of disease resistance loci in the USDA soybean germplasm collection using genome-wide association studies

Hao Xun Chang, Alexander E. Lipka, Leslie L. Domier, Glen L. Hartman

Research output: Contribution to journalArticlepeer-review

Abstract

Genetic resistance is a key strategy for disease management in soybean. Over the last 50 years, soybean germplasm has been phenotyped for resistance to many pathogens, resulting in the development of diseaseresistant elite breeding lines and commercial cultivars. While biparental linkage mapping has been used to identify disease resistance loci, genome-wide association studies (GWAS) using high-density and highquality markers such as single nucleotide polymorphisms (SNPs) has become a powerful tool to associate molecular markers and phenotypes. The objective of our study was to provide a comprehensive understanding of disease resistance in the United States Department of Agriculture Agricultural Research Service Soybean Germplasm Collection by using phenotypic data in the public Germplasm Resources Information Network and public SNP data (SoySNP50K). We identified SNPs significantly associated with disease ratings from one bacterial disease, five fungal diseases, two diseases caused by nematodes, and three viral diseases. We show that leucine-rich repeat (LRR) receptor-like kinases and nucleotidebinding site-LRR candidate resistance genes were enriched within the linkage disequilibrium regions of the significant SNPs. We review and present a global view of soybean resistance loci against multiple diseases and discuss the power and the challenges of using GWAS to discover disease resistance in soybean.

Original languageEnglish (US)
Pages (from-to)1139-1151
Number of pages13
JournalPhytopathology
Volume106
Issue number10
DOIs
StatePublished - Oct 2016

ASJC Scopus subject areas

  • Agronomy and Crop Science
  • Plant Science

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