» Articles » PMID: 27029319

Landscape of Genomic Diversity and Trait Discovery in Soybean

Overview
Journal Sci Rep
Specialty Science
Date 2016 Apr 1
PMID 27029319
Citations 65
Authors
Affiliations
Soon will be listed here.
Abstract

Cultivated soybean [Glycine max (L.) Merr.] is a primary source of vegetable oil and protein. We report a landscape analysis of genome-wide genetic variation and an association study of major domestication and agronomic traits in soybean. A total of 106 soybean genomes representing wild, landraces, and elite lines were re-sequenced at an average of 17x depth with a 97.5% coverage. Over 10 million high-quality SNPs were discovered, and 35.34% of these have not been previously reported. Additionally, 159 putative domestication sweeps were identified, which includes 54.34 Mbp (4.9%) and 4,414 genes; 146 regions were involved in artificial selection during domestication. A genome-wide association study of major traits including oil and protein content, salinity, and domestication traits resulted in the discovery of novel alleles. Genomic information from this study provides a valuable resource for understanding soybean genome structure and evolution, and can also facilitate trait dissection leading to sequencing-based molecular breeding.

Citing Articles

The genomic landscape of gene-level structural variations in Japanese and global soybean Glycine max cultivars.

Yano R, Li F, Hiraga S, Takeshima R, Kobayashi M, Toda K Nat Genet. 2025; .

PMID: 40033060 DOI: 10.1038/s41588-025-02113-5.


Discovery of two tightly linked soybean genes at the qSCN10 (O) locus conferring broad-spectrum resistance to soybean cyst nematode.

Lakhssassi N, Chhapekar S, Devkar V, Knizia D, El Baze A, Ye H Commun Biol. 2025; 8(1):259.

PMID: 39966671 PMC: 11836386. DOI: 10.1038/s42003-025-07633-8.


Identification of superior haplotypes and candidate gene for seed size-related traits in soybean ( L.).

Zhang Y, Yang X, Bhat J, Zhang Y, Bu M, Zhao B Mol Breed. 2024; 45(1):3.

PMID: 39717350 PMC: 11663835. DOI: 10.1007/s11032-024-01525-1.


Soybean genomics research community strategic plan: A vision for 2024-2028.

Stupar R, Locke A, Allen D, Stacey M, Ma J, Weiss J Plant Genome. 2024; 17(4):e20516.

PMID: 39572930 PMC: 11628913. DOI: 10.1002/tpg2.20516.


Exploring genomic feature selection: A comparative analysis of GWAS and machine learning algorithms in a large-scale soybean dataset.

Al-Mamun H, Danilevicz M, Marsh J, Gondro C, Edwards D Plant Genome. 2024; 18(1):e20503.

PMID: 39253773 PMC: 11726426. DOI: 10.1002/tpg2.20503.


References
1.
Mace E, Tai S, Gilding E, Li Y, Prentis P, Bian L . Whole-genome sequencing reveals untapped genetic potential in Africa's indigenous cereal crop sorghum. Nat Commun. 2013; 4:2320. PMC: 3759062. DOI: 10.1038/ncomms3320. View

2.
Joshi T, Valliyodan B, Wu J, Lee S, Xu D, Nguyen H . Genomic differences between cultivated soybean, G. max and its wild relative G. soja. BMC Genomics. 2013; 14 Suppl 1:S5. PMC: 3549820. DOI: 10.1186/1471-2164-14-S1-S5. View

3.
Li Y, Zhao S, Ma J, Li D, Yan L, Li J . Molecular footprints of domestication and improvement in soybean revealed by whole genome re-sequencing. BMC Genomics. 2013; 14:579. PMC: 3844514. DOI: 10.1186/1471-2164-14-579. View

4.
Hwang E, Song Q, Jia G, Specht J, Hyten D, Costa J . A genome-wide association study of seed protein and oil content in soybean. BMC Genomics. 2014; 15:1. PMC: 3890527. DOI: 10.1186/1471-2164-15-1. View

5.
Lim J, Yang H, Jung K, Yoo S, Paek N . Quantitative trait locus mapping and candidate gene analysis for plant architecture traits using whole genome re-sequencing in rice. Mol Cells. 2014; 37(2):149-60. PMC: 3935628. DOI: 10.14348/molcells.2014.2336. View