» Articles » PMID: 25641104

Development, Validation and Genetic Analysis of a Large Soybean SNP Genotyping Array

Overview
Journal Plant J
Date 2015 Feb 3
PMID 25641104
Citations 75
Authors
Affiliations
Soon will be listed here.
Abstract

Cultivated soybean (Glycine max) suffers from a narrow germplasm relative to other crop species, probably because of under-use of wild soybean (Glycine soja) as a breeding resource. Use of a single nucleotide polymorphism (SNP) genotyping array is a promising method for dissecting cultivated and wild germplasms to identify important adaptive genes through high-density genetic mapping and genome-wide association studies. Here we describe a large soybean SNP array for use in diversity analyses, linkage mapping and genome-wide association analyses. More than four million high-quality SNPs identified from high-depth genome re-sequencing of 16 soybean accessions and low-depth genome re-sequencing of 31 soybean accessions were used to select 180,961 SNPs for creation of the Axiom(®) SoyaSNP array. Validation analysis for a set of 222 diverse soybean lines showed that 170,223 markers were of good quality for genotyping. Phylogenetic and allele frequency analyses of the validation set data indicated that accessions showing an intermediate morphology between cultivated and wild soybeans collected in Korea were natural hybrids. More than 90 unanchored scaffolds in the current soybean reference sequence were assigned to chromosomes using this array. Finally, dense average spacing and preferential distribution of the SNPs in gene-rich chromosomal regions suggest that this array may be suitable for genome-wide association studies of soybean germplasm. Taken together, these results suggest that use of this array may be a powerful method for soybean genetic analyses relating to many aspects of soybean breeding.

Citing Articles

Genetic dissection of resistance to Phytophthora sojae using genome-wide association and linkage analysis in soybean [Glycine max (L.) Merr.].

You H, Jang I, Moon J, Kang I, Kim J, Kang S Theor Appl Genet. 2024; 137(12):263.

PMID: 39516394 DOI: 10.1007/s00122-024-04771-1.


Exploration and genetic analyses of canopy leaf pigmentation changes in soybean (Glycine max L.): unveiling a novel phenotype.

You H, Jo H, Kim J, Kang S, Luong N, Kim Y Theor Appl Genet. 2024; 137(9):202.

PMID: 39134894 PMC: 11319514. DOI: 10.1007/s00122-024-04693-y.


SUnSeT: spectral unmixing of hyperspectral images for phenotyping soybean seed traits.

Jeong S, Lyu J, Jeong H, Baek J, Moon J, Lee C Plant Cell Rep. 2024; 43(7):164.

PMID: 38852113 PMC: 11162974. DOI: 10.1007/s00299-024-03249-0.


Developing an SNP dataset for efficiently evaluating soybean germplasm resources using the genome sequencing data of 3,661 soybean accessions.

Niu Y, Yung W, Sze C, Wong F, Li M, Chung G BMC Genomics. 2024; 25(1):475.

PMID: 38745120 PMC: 11092025. DOI: 10.1186/s12864-024-10382-3.


Genomic Analysis of Romanian Lycium Genotypes: Exploring Genes for Stress Resistance Breeding.

Ciceoi R, Asanica A, Luchian V, Iordachescu M Int J Mol Sci. 2024; 25(4).

PMID: 38396806 PMC: 10889844. DOI: 10.3390/ijms25042130.