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 po...
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Frontiers Media S.A.
2024-11-01
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| Series: | Frontiers in Plant Science |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fpls.2024.1486736/full |
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| author | Siva K. Chamarthi Siva K. Chamarthi Larry C. Purcell Felix B. Fritschi Jeffery D. Ray James R. Smith Avjinder S. Kaler C. Andy King Jason D. Gillman |
| author_facet | Siva K. Chamarthi Siva K. Chamarthi Larry C. Purcell Felix B. Fritschi Jeffery D. Ray James R. Smith Avjinder S. Kaler C. Andy King Jason D. Gillman |
| author_sort | Siva K. Chamarthi |
| collection | DOAJ |
| description | 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 13C/12C (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 (P ≤ 0.05; 0.51 ≤ r ≤ 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. |
| format | Article |
| id | doaj-art-4a4a49bb872440e0aff84ab2d5bbeb04 |
| institution | OA Journals |
| issn | 1664-462X |
| language | English |
| publishDate | 2024-11-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Plant Science |
| spelling | doaj-art-4a4a49bb872440e0aff84ab2d5bbeb042025-08-20T01:54:16ZengFrontiers Media S.A.Frontiers in Plant Science1664-462X2024-11-011510.3389/fpls.2024.14867361486736Association mapping for water use efficiency in soybean identifies previously reported and novel loci and permits genomic predictionSiva K. Chamarthi0Siva K. Chamarthi1Larry C. Purcell2Felix B. Fritschi3Jeffery D. Ray4James R. Smith5Avjinder S. Kaler6C. Andy King7Jason D. Gillman8Division of Plant Science & Technology, University of Missouri, Columbia, MO, United StatesDepartment of Crop, Soil, and Environmental Sciences, University of Arkansas, Fayetteville, AR, United StatesDepartment of Crop, Soil, and Environmental Sciences, University of Arkansas, Fayetteville, AR, United StatesDivision of Plant Science & Technology, University of Missouri, Columbia, MO, United StatesCrop Genetics Research Unit, United States Department of Agriculture – Agricultural Research Service (USDA-ARS), Stoneville, MS, United StatesCrop Genetics Research Unit, United States Department of Agriculture – Agricultural Research Service (USDA-ARS), Stoneville, MS, United StatesDepartment of Crop, Soil, and Environmental Sciences, University of Arkansas, Fayetteville, AR, United StatesDepartment of Crop, Soil, and Environmental Sciences, University of Arkansas, Fayetteville, AR, United StatesPlant Genetic Research Unit, United States Department of Agriculture – Agricultural Research Service (USDA-ARS), University of Missouri, Columbia, MO, United StatesSoybean 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 13C/12C (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 (P ≤ 0.05; 0.51 ≤ r ≤ 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.https://www.frontiersin.org/articles/10.3389/fpls.2024.1486736/fullwater use efficiency13C/12C isotopic ratiosoybeandrought toleranceassociation mappinggenomic selection |
| spellingShingle | Siva K. Chamarthi Siva K. Chamarthi Larry C. Purcell Felix B. Fritschi Jeffery D. Ray James R. Smith Avjinder S. Kaler C. Andy King Jason D. Gillman Association mapping for water use efficiency in soybean identifies previously reported and novel loci and permits genomic prediction Frontiers in Plant Science water use efficiency 13C/12C isotopic ratio soybean drought tolerance association mapping genomic selection |
| title | Association mapping for water use efficiency in soybean identifies previously reported and novel loci and permits genomic prediction |
| title_full | Association mapping for water use efficiency in soybean identifies previously reported and novel loci and permits genomic prediction |
| title_fullStr | Association mapping for water use efficiency in soybean identifies previously reported and novel loci and permits genomic prediction |
| title_full_unstemmed | Association mapping for water use efficiency in soybean identifies previously reported and novel loci and permits genomic prediction |
| title_short | Association mapping for water use efficiency in soybean identifies previously reported and novel loci and permits genomic prediction |
| title_sort | association mapping for water use efficiency in soybean identifies previously reported and novel loci and permits genomic prediction |
| topic | water use efficiency 13C/12C isotopic ratio soybean drought tolerance association mapping genomic selection |
| url | https://www.frontiersin.org/articles/10.3389/fpls.2024.1486736/full |
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