Association mapping for water use efficiency in soybean identifies previously reported and novel loci and permits genomic prediction

Soybean is a major legume crop cultivated globally due to the high quality and quantity of its seed protein and oil. However, drought stress is the most significant factor that decreases soybean yield, and more than 90% of US soybean acreage is dependent on rainfall. Water use efficiency (WUE) is positively correlated with the carbon isotopic ratio <sup>13</sup>C/<sup>12</sup>C (C13 ratio) and selecting soybean varieties for high C13 ratio may enhance WUE and help improve tolerance to drought. Our study objective was to identify genetic loci associated with C13 ratio using a diverse set of 205 soybean maturity group IV accessions, and to examine the genomic prediction accuracy of C13 ratio across a range of environments. An accession panel was grown and assessed across seven distinct combinations of site, year and treatment, with five site-years under irrigation and two site-years under drought stress. Genome-wide association mapping (GWAM) analysis identified 103 significant single nucleotide polymorphisms (SNPs) representing 93 loci associated with alterations to C13 ratio. Out of these 93 loci, 62 loci coincided with previous studies, and 31 were novel. Regions tagged by 96 significant SNPs overlapped with 550 candidate genes involved in plant stress responses. These confirmed genomic loci could serve as a valuable resource for marker-assisted selection to enhance WUE and drought tolerance in soybean. This study also demonstrated that genomic prediction can accurately predict C13 ratio across different genotypes and environments and by examining only significant SNPs identified by GWAM analysis, higher prediction accuracies (<i>P</i> ≤ 0.05; 0.51 ≤ <i>r</i> ≤ 0.65) were observed. We generated genomic estimated breeding values for each genotype in the entire USDA-GRIN germplasm collection for which there was marker data. This information was used to identify the top ten extreme genotypes for each soybean maturity group, which could serve as valuable genetic and physiological resources for future breeding and physiological studies.

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Publication Details

Journal
Frontiers in Plant Science
Published
2024-11-28
DOI
https://doi.org/10.3389/fpls.2024.1486736
Citations
4
Primary Topic
Soybean genetics and cultivation
Type
article
Field-Weighted Citation Impact
2.40

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article

Association mapping for water use efficiency in soybean identifies previously reported and novel loci and permits genomic prediction

James R. Smith, Jeffery D. Ray, Siva K. Chamarthi, C. Andy King et al.
4 citations
Frontiers in Plant Science
Soybean genetics and cultivation
2.40
article

Association mapping for water use efficiency in soybean identifies previously reported and novel loci and permits genomic prediction

James R. Smith, Jeffery D. Ray, Siva K. Chamarthi, C. Andy King, Larry C. Purcell, Jason D. Gillman, Avjinder S. Kaler, Felix Fritschi
article en
4 citations

Abstract

Soybean is a major legume crop cultivated globally due to the high quality and quantity of its seed protein and oil. However, drought stress is the most significant factor that decreases soybean yield, and more than 90% of US soybean acreage is dependent on rainfall. Water use efficiency (WUE) is positively correlated with the carbon isotopic ratio <sup>13</sup>C/<sup>12</sup>C (C13 ratio) and selecting soybean varieties for high C13 ratio may enhance WUE and help improve tolerance to drought. Our study objective was to identify genetic loci associated with C13 ratio using a diverse set of 205 soybean maturity group IV accessions, and to examine the genomic prediction accuracy of C13 ratio across a range of environments. An accession panel was grown and assessed across seven distinct combinations of site, year and treatment, with five site-years under irrigation and two site-years under drought stress. Genome-wide association mapping (GWAM) analysis identified 103 significant single nucleotide polymorphisms (SNPs) representing 93 loci associated with alterations to C13 ratio. Out of these 93 loci, 62 loci coincided with previous studies, and 31 were novel. Regions tagged by 96 significant SNPs overlapped with 550 candidate genes involved in plant stress responses. These confirmed genomic loci could serve as a valuable resource for marker-assisted selection to enhance WUE and drought tolerance in soybean. This study also demonstrated that genomic prediction can accurately predict C13 ratio across different genotypes and environments and by examining only significant SNPs identified by GWAM analysis, higher prediction accuracies (<i>P</i> ≤ 0.05; 0.51 ≤ <i>r</i> ≤ 0.65) were observed. We generated genomic estimated breeding values for each genotype in the entire USDA-GRIN germplasm collection for which there was marker data. This information was used to identify the top ten extreme genotypes for each soybean maturity group, which could serve as valuable genetic and physiological resources for future breeding and physiological studies.

Frontiers in Plant ScienceVol. 15
Agricultural Research Service (US), United States Department of Agriculture (US), University of Missouri (US), University of Arkansas at Fayetteville (US)
U.S. Department of Agriculture, United Soybean Board, Agricultural Research Service
Clean water and sanitation
Openalex Percentile: Top 10%
Soybean genetics and cultivation
2.40
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