2025
SoyRenSeq: a novel approach for disease resistance gene discovery and application for soybean improvement
Category:
Sustainable Production
Keywords:
Disease
Lead Principal Investigator:
Jianxin Ma, Purdue University
Co-Principal Investigators:
Madan Bhattacharyya, Iowa State University
Dechun Wang, Michigan State University
Carrie Miranda, North Dakota State University
Aaron Lorenz, University of Minnesota
Mengshi Lin, University of Missouri
Guohong Cai, USDA-ARS
+5 More
Project Code:
59000
Contributing Organization (Checkoff):
Institution Funded:
Brief Project Summary:
The central goals of this collaborative, multi-state, and multi-disciplinary project are to explore, apply, and optimize the disease (R) resistance gene enrichment (RenSeq) technology for accelerated identification of candidate R genes conferring resistances to various soybean pathogens prevalent in the Mid-west region, and for accelerated development of disease-resistant soybean cultivars by precise R gene selection. The new resistance resources are highly sought by both public and private soybean breeders for enhancement of elite soybean cultivars for disease resistance to benefit soybean producers. Thus, It is an urgent need to explore, apply, and optimize this technique for rapid discovery of R genes conferring resistance to prevalent soybean pathogens across the Mid-west region and for efficient deployment of new R genes into elite soybean cultivars.
Unique Keywords:
#r gene mapping, #resistance gene enrichment sequencing (renseq), #soybean breeding, #targeted r gene selection
Information And Results
Project Summary

Soybean diseases continue to be a major limitation to sustainable soybean production in the US. It is estimated that the average annual yield losses due to soybean diseases in the United States are approximately 11%, which translates to more than $4 billion in revenue loss per year. In order to protect soybeans from damages from the destructive pathogens, it is important to identify new sources of disease (R) resistance genes and deploy desirable R genes into elite soybean cultivars. This project uses a technique called Ren-Seq (Resistance Gene Enriched Sequencing), which can specifically capture, enrich, and sequence resistance genes, primarily NBS-LRR genes, to accelerate disease resistance gene discovery. This approach, combined with genetic mapping and gene expression data, allows i) assembling all NBS-LRR genes without a need to sequence the entire genome; ii) finding molecular markers that allow fine mapping of disease resistance genes; iii) pinpointing candidate R genes; iv) designing R gene-based molecular markers for precise R gene selection in breeding – all at affordable costs. We proposed five specific objectives to achoive the overall goal defined in this project.

Project Objectives

Objective 1. Development of a high-quality RenSeq platform for the soybean research community. Objective 2. Sequencing and assembly of NBS-LRR gene clusters in major soybean lines carrying resistance to prevalent soybean pathogens in the Midwest region. Objective 3. Analysis of R gene expression and responses to various soybean pathogens. Objective 4. Evaluation of resistance to various pathogens and mapping of major R genes and QTL. Objective 5. Development of candidate R-gene-based molecular markers for precision breeding.

Project Deliverables

1) Assembled and mapped NBS-LRR gene clusters from 96 (or 48) or soybean cultivars carrying resistance to the targeted soybean diseases; construction of a pan-NLRome.
2) Chromosomal locations and candidate genes for 6 major disease resistance QTLs or qualitative loci. Detailed spectra of resistance of these QTL or qualitative loci
3) Genome-wide NBS-LRR gene expression patterns in 6-12 varieties in response to infection of targeted pathogens in soybean lines carrying major disease resistance QTL or genes.
4) A set of 2-3 candidate R genes of NBS-LRR type underlying specific resistances to different pathogens/strains and DNA markers for precise selection of these R genes.

Progress Of Work

Final Project Results

Benefit To Soybean Farmers

The utilization of soybean cultivars with durable resistance will reduce the use of harmful chemicals, which will create a higher profit margin for soybean farmers and a healthier environment overall. This project also provide excellent opportunity to train the next-generation researchers whose future endeavors would directly or indirectly contribute to farm profitability.

The United Soybean Research Retention policy will display final reports with the project once completed but working files will be purged after three years. And financial information after seven years. All pertinent information is in the final report or if you want more information, please contact the project lead at your state soybean organization or principal investigator listed on the project.