Disease resistance and seed quality were important traits for soybean breeding. Better understanding of the genetic architecture and genomic landscape of soybean germplasm with targeted traits is the precondition of molecular design breeding of soybean. Construction of a favorable data platform including phenotyping and genotyping pools and efficient analytical approaches were the fundamental tasks for molecular breeding work. Therefore, more than 500 diverse soybean accessions were sequenced using specific-locus amplified fragment sequencing (SLAF-seq) to establish a genotype database. In total, 64 141 single nucleotide polymorphisms (SNPs) with minor allele frequencies (MAFs) > 0.05 were found among the 512 tested accessions. The genotyped soybean germplasm has been phenotyped for some important soybean quality traits including soybean fatty acid components and seed vitamin E content under multi-environmental conditions. Resistance to many different pathogens including resistance to soybean cyst nematode (SCN), soybean white mold (SWM), soybean root rot (SRR) and soybean mosaic virus (SMV) has been also phenotyped. A set of loci were found to be associated with the above traits by GWAS and some of them were confirmed by biparental mapping which has been used for molecular assisted selection breeding. A set of candidate genes for disease resistance that have been evaluated via sequence polymorphism and differential expression in special donors were cloned and were staged in functional genomics research.
Title: Genome-wide identification for loci and candidate genes underlying important traits in soybean (Glycine max L. Merr.)
Submitter's E-mail Address: wenbinli@neau.edu.cn
Session Selection: Genome sequencing
First author
Presenting Author
Wenbin Li
Laboratory of Soybean Biology in Chinese Ministry of Education (key Laboratory of Soybean Biology and Breeding/Genetics of Chinese Agriculture Ministry) ,Northeast Agricultural University
Email: wenbinli@neau.edu.cn -- Will not be published