| Literature DB >> 21076406 |
Hon-Ming Lam1, Xun Xu, Xin Liu, Wenbin Chen, Guohua Yang, Fuk-Ling Wong, Man-Wah Li, Weiming He, Nan Qin, Bo Wang, Jun Li, Min Jian, Jian Wang, Guihua Shao, Jun Wang, Samuel Sai-Ming Sun, Gengyun Zhang.
Abstract
We report a large-scale analysis of the patterns of genome-wide genetic variation in soybeans. We re-sequenced a total of 17 wild and 14 cultivated soybean genomes to an average of approximately ×5 depth and >90% coverage using the Illumina Genome Analyzer II platform. We compared the patterns of genetic variation between wild and cultivated soybeans and identified higher allelic diversity in wild soybeans. We identified a high level of linkage disequilibrium in the soybean genome, suggesting that marker-assisted breeding of soybean will be less challenging than map-based cloning. We report linkage disequilibrium block location and distribution, and we identified a set of 205,614 tag SNPs that may be useful for QTL mapping and association studies. The data here provide a valuable resource for the analysis of wild soybeans and to facilitate future breeding and quantitative trait analysis.Entities:
Mesh:
Year: 2010 PMID: 21076406 DOI: 10.1038/ng.715
Source DB: PubMed Journal: Nat Genet ISSN: 1061-4036 Impact factor: 38.330