Soybean genetics, genomics, and breeding for improving nutritional value and reducing antinutritional traits in food and feed

Singer, William M.; Lee, Yi‐Chen; Shea, Zachary; Vieira, Caio Canella; Lee, Dongho; Li, Xiaoying; Cunicelli, Mia; Kadam, Shaila S.; Khan, Mohammad Aamir Waseem; Shannon, Grover; Mian, M. A. Rouf; Nguyen, Henry T.; Zhang, Bo

doi:10.1002/tpg2.20415

Cited by 2 publications

References 407 publications

(472 reference statements)

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Genomic Footprints of Selection for Enhancing Productivity in Taiwanese Vegetable Soybeans through Core Collection Framework

Huang,

Chen,

Chen

et al. 2024

Preprint

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Background Vegetable soybean (Glycine max L.) stands as a significant crop in East Asia, distinguished by unique phenotypic traits such as seed size, coat color, and sweetness, setting it apart from grain soybeans. These traits are likely attributed to intensive and long-term selection processes, yet the genomic alterations underlying these variations remain inadequately elucidated. Results Here, we established a core collection panel comprising 52 vegetable soybean and 192 grain soybean samples, selected from a pool of 2,394 Taiwanese accessions. Through population structure, genetic diversity, and differentiation analyses, we observed reduced genetic variability in vegetable soybeans compared to grain soybeans, with significant differentiation between the two types. Our investigation identified 159 significant signatures within 67 putative regions linked to selective breeding in vegetable soybeans, many of which overlap with previously identified genomic loci, indicating selective breeding footprints. Phenotypic variation patterns suggest that improved productivity in vegetable soybeans may be achieved by pyramiding favorable alleles. Furthermore, we pinpointed two promising genes, GmAP2-2 and GmTFL1b (Dt1), as potential focal points for future vegetable soybean breeding, given their roles in flowering time and seed development. Conclusions This comprehensive study underscores the utility of core collection panels and provides valuable insights into soybean genetics, laying the groundwork for future breeding endeavors and research in vegetable soybeans.

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Genomic Footprints of Selection for Enhancing Productivity in Taiwanese Vegetable Soybeans through Core Collection Framework

Huang,

Chen,

Chen

et al. 2024

Preprint

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Genome-Wide Association Study on Candidate Genes Associated with Soybean Stem Pubescence and Hilum Colors

Zhou,

Wang,

Chen

et al. 2024

Agronomy

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The colorations of stem pubescence and hilum are crucial criteria for discerning diverse soybean germplasms, governed by multiple genes that substantially influence the seed’s outward appearance quality and the resistance to abiotic stresses. This comprehensive study delved into the stem pubescence and hilum color traits across a natural population of 264 accessions during 2021 and 2022. The phenotypes of these two traits within our population were analyzed for the investigation of population genetics and evaluation of germplasm resources in the future. Numerous noteworthy SNPs associated with both traits were detected through a genome-wide association study (GWAS), with the most significant signals for 2021 and 2022 localized on chromosome 6. Seven candidate genes regulating stem pubescence color and four genes influencing hilum color were identified by analyzing the expression patterns, cold stress responses, and regulatory pathways of genes within the LD decay distance of SNPs. This study not only underscores the applicability of GWAS in unraveling the genetic basis of quality traits, but also contributes novel genetic reservoirs and research paradigms to the explorations of the soybean plant and seed color. These results provide foundational insights into the breeding improvement of seeds’ outward appearance quality and a comprehensive evaluation of soybean germplasm.

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Soybean genetics, genomics, and breeding for improving nutritional value and reducing antinutritional traits in food and feed

Cited by 2 publications

References 407 publications

Genomic Footprints of Selection for Enhancing Productivity in Taiwanese Vegetable Soybeans through Core Collection Framework

Genomic Footprints of Selection for Enhancing Productivity in Taiwanese Vegetable Soybeans through Core Collection Framework

Genome-Wide Association Study on Candidate Genes Associated with Soybean Stem Pubescence and Hilum Colors

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