P1141
Genome-Wide Association Mapping of Quantitative Resistance to Sudden Death Syndrome in Soybean

Date: Monday, January 13, 2014
Room: Grand Exhibit Hall
Dechun Wang , Michigan State University, East Lansing, MI
Ziaxiang Wen , Michigan State University, East Lansing, MI
Ruijuan Tan , Michigan State University, East Lansing, MI
Jiazheng Yuan , Michigan State University, East Lansing, MI
Carmille Bales , Michigan State University, East Lansing, MI
Wenyan Du , Michigan State University, East Lansing, MI
Shichen Zhang , Michigan State University, East Lansing, MI
Martin Chilvers , Michigan State University, East Lansing, MI
Qijian Song , USDA-ARS, Soybean Genomics and Improvement Lab, Beltsville, MD
Perry Cregan , USDA-ARS, Soybean Genomics and Improvement Lab, Beltsville, MD
Sudden death syndrome (SDS) is a serious threat to soybean production that can be controlled by host plant resistance. To dissect the genetic architecture of quantitative resistance in soybean, two independent association panels of soybean elite cultivar, consisting of 392 and 300 unique accessions, were evaluated for resistance to SDS in multi-environments. Genome-wide association mapping was conducted by genotyping 52041 and 5361 SNPs variants across two association panels respectively. A total of 20 loci underling SDS resistance were identified in two independent studies, including 7 loci localized in mapped QTL intervals and 13 novel loci. One strong peak of association on chromosome 18, associated with all disease assessment criteria across two panels, spanned a physical region of 1.2 Mb around previously cloned SDS resistance gene (GmRLK18-1), and there was an additional variants independently associated with SDS resistance in this genomic region. Other peak SNPs were within or close to sequences annotated as homologous to genes previously shown to be involved in plant disease resistance. Peak SNPs at the identified loci could explain ~54.5% of the phenotypic variance on average measured by different disease assessment criteria. The identification of such associations may provide substantial insight into soybean resistance to SDS and may also facilitate marker-assisted selection in soybean.