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

Single nucleotide polymorphism (SNP) markers play significant roles in accelerating breeding and basic crop research. Several soybean SNP panels have been developed. However, there is still a lack of SNP panels for differentiating between wild and cultivated populations, as well as for detecting pol...

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Bibliographic Details
Published in:	BMC genomics Vol. 25; no. 1; p. 475
Main Authors:	Niu, Yongchao, Yung, Wai-Shing, Sze, Ching-Ching, Wong, Fuk-Ling, Li, Man-Wah, Chung, Gyuhwa, Lam, Hon-Ming
Format:	Journal Article
Language:	English
Published:	England BioMed Central Ltd 14-05-2024 BioMed Central BMC
Subjects:	Analysis Arrays Biomarkers Biosynthesis Cultivation Datasets Diseases and pests DNA sequencing Domestication Gene Library Gene mutations Gene sequencing Genes Genetic aspects Genetics Genome sequencing Genome, Plant Genomes Genomic libraries Genomics Genotype & phenotype Germplasm Glycine max - genetics Growth Health aspects InDel marker INDEL Mutation Insertion/deletion Mutants Mutation Nucleotide sequencing Nucleotides Panels Plant Breeding Polymorphism Polymorphism, Single Nucleotide Population studies Populations Proteins Single nucleotide polymorphism Single nucleotide polymorphisms SNP marker Soybean Soybeans China Genome sequencing Germplasm evaluation InDel marker Naturally occurring mutant Single nucleotide polymorphism Soybean Insertion/deletion Large-effect mutation (LEM) SNP marker
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