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| Title: | Genome_wide association study (GWAS) of carbon isotope ratio (_13C) in diverse soybean [Glycine max (L.) Merr.] genotypes |
| Authors: | Arun Prabhu Dhanapal, Jeffery D. Ray, Shardendu K. Singh, Valerio Hoyos_Villegas, James R. Smith, Larry C. Purcell, C. Andy King, Perry B. Cregan, Qijian Song, Felix B. Fritschi |
| Source: | Theor Appl Genet 2015, 128:7391 |
| Abstract: | Key message Using genome-wide association studies, 39 SNP markers likely tagging 21 different loci for carbon isotope ratio (_13C) were identified in soybean. Abstract Water deficit stress is a major factor limiting soybean [Glycine max (L.) Merr.] yield. Soybean genotypes with improved water use efficiency (WUE) may be used to develop cultivars with increased yield under drought. A collection of 373 diverse soybean genotypes was grown in four environments (2 years and two locations) and characterized for carbon isotope ratio (_13C) as a surrogate measure of WUE. Population structure was assessed based on 12,347 single nucleotide polymorphisms (SNPs), and genome-wide association studies (GWAS) were conducted to identify SNPs associated with _13C. Across all four environments, _13C ranged from a minimum of _30.55 to a maximum of _27.74 . Although _13C values were significantly different between the two locations in both years, results were consistent among genotypes across years and locations. Diversity analysis indicated that eight subpopulations could contain all individuals and revealed that within-subpopulation diversity, rather than among-subpopulation diversity, explained most (80 %) of the diversity among the 373 genotypes. A total of 39 SNPs that showed a significant association with _13C in at least two environments or for the average across all environments were identified by GWAS. Fifteen of these SNPs were located within a gene. The 39 SNPs likely tagged 21 different loci and demonstrated that markers for _13C can be identified in soybean using GWAS. Further research is necessary to confirm the marker associations identified and to evaluate their usefulness for selecting genotypes with increased WUE. |
| Funded by the USDA-ARS. Developed by the USDA-ARS SoyBase and Legume Clade Database group at the Iowa State University, Ames, IA | ||
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