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Genome Wide Association Study and Genomic Selection of Amino Acid Concentrations in Soybean Seeds

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dc.contributor.authorQin, Junen
dc.contributor.authorShi, Ainongen
dc.contributor.authorSong, Qijianen
dc.contributor.authorLi, Songen
dc.contributor.authorWang, Fengminen
dc.contributor.authorCao, Yinghaoen
dc.contributor.authorRavelombola, Waltramen
dc.contributor.authorSong, Qien
dc.contributor.authorYang, Chunyanen
dc.contributor.authorZhang, Mengchenen
dc.contributor.departmentSchool of Plant and Environmental Sciencesen
dc.date.accessioned2020-02-06T15:16:04Zen
dc.date.available2020-02-06T15:16:04Zen
dc.date.issued2019-11-15en
dc.description.abstractSoybean is a major source of protein for human consumption and animal feed. Releasing new cultivars with high nutritional value is one of the major goals in soybean breeding. To achieve this goal, genome-wide association studies of seed amino acid contents were conducted based on 249 soybean accessions from China, US, Japan, and South Korea. The accessions were evaluated for 15 amino acids and genotyped by sequencing. Significant genetic variation was observed for amino acids among the accessions. Among the 231 single nucleotide polymorphisms (SNPs) significantly associated with variations in amino acid contents, fifteen SNPs localized near 14 candidate genes involving in amino acid metabolism. The amino acids were classified into two groups with five in one group and seven amino acids in the other. Correlation coefficients among the amino acids within each group were high and positive, but the correlation coefficients of amino acids between the two groups were negative. Twenty-five SNP markers associated with multiple amino acids can be used to simultaneously improve multi-amino acid concentration in soybean. Genomic selection analysis of amino acid concentration showed that selection efficiency of amino acids based on the markers significantly associated with all 15 amino acids was higher than that based on random markers or markers only associated with individual amino acid. The identified markers could facilitate selection of soybean varieties with improved seed quality.en
dc.description.notesThe authors would like to thank Prof. Lijuan Qiu (Chinese Academy of Agricultural Sciences) for providing seeds of 249 soybean accessions. This study was supported by the Hebei Province Natural Science Foundation for Distinguished Young Scholars (C2014301035), National Natural Science Foundation of China (31100880), and Key Project of the Natural Science Foundation of Hebei Province (C2012301020).en
dc.description.sponsorshipHebei Province Natural Science Foundation for Distinguished Young Scholars [C2014301035]; National Natural Science Foundation of ChinaNational Natural Science Foundation of China [31100880]; Key Project of the Natural Science Foundation of Hebei Province [C2012301020]en
dc.format.mimetypeapplication/pdfen
dc.identifier.doihttps://doi.org/10.3389/fpls.2019.01445en
dc.identifier.issn1664-462Xen
dc.identifier.other1445en
dc.identifier.pmid31803203en
dc.identifier.urihttp://hdl.handle.net/10919/96740en
dc.identifier.volume10en
dc.language.isoenen
dc.rightsCreative Commons Attribution 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.subjectGlycine maxen
dc.subjectgenome-wide association studyen
dc.subjectgenomic selectionen
dc.subjectgenotyping by sequencingen
dc.subjectamino acid concentrationen
dc.subjectsingle nucleotide polymorphismen
dc.titleGenome Wide Association Study and Genomic Selection of Amino Acid Concentrations in Soybean Seedsen
dc.title.serialFrontiers in Plant Scienceen
dc.typeArticle - Refereeden
dc.type.dcmitypeTexten
dc.type.dcmitypeStillImageen

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