Evidence map›Paper›PMID 42132231›Full record

ArticleG3 (Bethesda, Md.)2026

Identification of race-specific QTL and candidate genes for Aphanomyces root rot resistance in alfalfa (Medicago sativa L.).

Meng Lin, Xuemei Tang, Dongyan Zhao, Cesar A Medina, Melinda R Dornbusch, Craig T Beil, Moira J Sheehan, Deborah A Samac

Abstract read
In one paragraph

Article in G3 (Bethesda, Md.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Meng LinBreeding Insight, University of Florida, Institute of Food and Agricultural Sciences, Gainesville, FL 32611, United States.
Xuemei TangBreeding Insight, University of Florida, Institute of Food and Agricultural Sciences, Gainesville, FL 32611, United States.
Dongyan ZhaoBreeding Insight, University of Florida, Institute of Food and Agricultural Sciences, Gainesville, FL 32611, United States.ORCID 0000-0002-2080-8416
Cesar A MedinaDepartment of Agronomy and Plant Genetics, University of Minnesota, St.Paul, MN 55108, United States.
Melinda R DornbuschPlant Science Research Unit, USDA-ARS, St. Paul, MN 55108, United States.
Craig T BeilBreeding Insight, University of Florida, Institute of Food and Agricultural Sciences, Gainesville, FL 32611, United States.
Moira J SheehanBreeding Insight, University of Florida, Institute of Food and Agricultural Sciences, Gainesville, FL 32611, United States.
Deborah A SamacPlant Science Research Unit, USDA-ARS, St. Paul, MN 55108, United States.

Funding

Breeding Insight RRID: SCR_026645Cooperative Agreement 8062-21000-052-020-ACornell University under Cooperative Agreements 8062-21000-043-004-ACornell University under Cooperative Agreements 8062-21000-052-002-ACornell University under Cooperative Agreements 8062-21000-052-003-AUniversity of Florida, GainesvilleU.S. Department of Agriculture, Agricultural Research Service 5062-21500-001-00D
6 · The paper itself

Abstract

Aphanomyces root rot (ARR), caused by the oomycete Aphanomyces euteiches, is one of the most devastating diseases of alfalfa in the United States. Two pathogenic races of A. euteiches have been identified, with most commercial cultivars resistant to race 1. However, there are limited commercial cultivars resistant to race 2, which is the predominant race in North America. To dissect the genetic control of race-specific resistance, we developed two F1 mapping populations from paired reciprocal crosses of resistant and susceptible plants derived from the commercial cultivar 53V52 and the check cultivar WAPH-5. Using cloned plants, 184 F1 plants were phenotyped from the 53V52-derived population and 372 plants from the WAPH-5 population with one or more strains of A. euteiches race 1 and race 2. Using DArTag genotyping and quantitative trait loci (QTL) mapping, genomic regions for race 1 resistance were identified on chromosome 1 in the 53V52-derived population and on chromosomes 1 and 4 in the WAPH-5-derived population, whereas race 2 resistance QTL were mapped to chromosome 2 in the 53V52-derived population and chromosome 4 in the WAPH-5-derived population. Candidate resistance genes were prioritized for three major-effect QTL by integrating gene functional annotations and putative causal mutations identified using the DNA language model-based framework PlantCaduceus, representing the first implementation of PlantCaduceus in an autotetraploid species. These markers and candidate genes provide valuable resources for marker-assisted introgression of race-specific ARR resistance into elite alfalfa breeding germplasm.

Indexed as

AphanomycesDisease ResistanceGenes, PlantMedicago sativaPlant DiseasesQuantitative Trait LociChromosome MappingChromosomes, PlantGenetic Association StudiesGenotypePhenotypePlant RootsalfalfaAphanomyces root rotDArTagPlantCaduceusQTL analysisR genes

Identifiers

PMID42132231
PMCPMC13334173

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.