Lee Yun-Gyeong, Jeong Namhee, Kim Ji Hong, Lee Kwanghee, Kim Kil Hyun, Pirani Ali, Ha Bo-Keun, Kang Sung-Taeg, Park Beom-Seok, Moon Jung-Kyung, Kim Namshin, Jeong Soon-Chun
Korean Bioinformation Center, Korea Research Institute of Bioscience and Biotechnology, Daejeon, 305-806, Korea; Department of Bioinformatics, University of Science and Technology, Daejeon, 305-806, Korea.
Plant J. 2015 Feb;81(4):625-36. doi: 10.1111/tpj.12755.
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.
与其他作物品种相比,栽培大豆(Glycine max)的种质资源较为狭窄,这可能是由于野生大豆(Glycine soja)作为育种资源未得到充分利用。使用单核苷酸多态性(SNP)基因分型阵列是一种很有前景的方法,可用于剖析栽培和野生种质,通过高密度遗传图谱构建和全基因组关联研究来鉴定重要的适应性基因。在此,我们描述了一种用于多样性分析、连锁图谱构建和全基因组关联分析的大型大豆SNP阵列。从16份大豆材料的高深度基因组重测序和31份大豆材料的低深度基因组重测序中鉴定出的超过400万个高质量SNP,被用于选择180,961个SNP来创建Axiom(®)大豆SNP阵列。对一组222份不同大豆品系的验证分析表明,170,223个标记用于基因分型的质量良好。对验证集数据的系统发育和等位基因频率分析表明,在韩国收集的形态介于栽培大豆和野生大豆之间的材料是天然杂种。利用该阵列将当前大豆参考序列中90多个未锚定的支架定位到了染色体上。最后,SNP在富含基因的染色体区域的密集平均间距和优先分布表明该阵列可能适用于大豆种质的全基因组关联研究。综上所述,这些结果表明使用该阵列可能是一种用于大豆育种诸多方面遗传分析的有力方法。