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SoySNP618K array: A high-resolution single nucleotide polymorphism platform as a valuable genomic resource for soybean genetics and breeding.

Authors :
Li YF
Li YH
Su SS
Reif JC
Qi ZM
Wang XB
Wang X
Tian Y
Li DL
Sun RJ
Liu ZX
Xu ZJ
Fu GH
Ji YL
Chen QS
Liu JQ
Qiu LJ
Source :
Journal of integrative plant biology [J Integr Plant Biol] 2022 Mar; Vol. 64 (3), pp. 632-648.
Publication Year :
2022

Abstract

Innovations in genomics have enabled the development of low-cost, high-resolution, single nucleotide polymorphism (SNP) genotyping arrays that accelerate breeding progress and support basic research in crop science. Here, we developed and validated the SoySNP618K array (618,888 SNPs) for the important crop soybean. The SNPs were selected from whole-genome resequencing data containing 2,214 diverse soybean accessions; 29.34% of the SNPs mapped to genic regions representing 86.85% of the 56,044 annotated high-confidence genes. Identity-by-state analyses of 318 soybeans revealed 17 redundant accessions, highlighting the potential of the SoySNP618K array in supporting gene bank management. The patterns of population stratification and genomic regions enriched through domestication were highly consistent with previous findings based on resequencing data, suggesting that the ascertainment bias in the SoySNP618K array was largely compensated for. Genome-wide association mapping in combination with reported quantitative trait loci enabled fine-mapping of genes known to influence flowering time, E2 and GmPRR3b, and of a new candidate gene, GmVIP5. Moreover, genomic prediction of flowering and maturity time in 502 recombinant inbred lines was highly accurate (>0.65). Thus, the SoySNP618K array is a valuable genomic tool that can be used to address many questions in applied breeding, germplasm management, and basic crop research.<br /> (© 2021 Institute of Botany, Chinese Academy of Sciences.)

Details

Language :
English
ISSN :
1744-7909
Volume :
64
Issue :
3
Database :
MEDLINE
Journal :
Journal of integrative plant biology
Publication Type :
Academic Journal
Accession number :
34914170
Full Text :
https://doi.org/10.1111/jipb.13202