Department of Plant Science and Research Institute of Agriculture and Life Sciences, Seoul National University, Seoul, Republic of Korea.
Plant Genomics and Breeding Institute, Seoul National University, Seoul, Republic of Korea.
BMC Bioinformatics. 2019 Jul 24;20(Suppl 13):384. doi: 10.1186/s12859-019-2859-5.
The development of next generation sequencer (NGS) and the analytical methods allowed the researchers to profile their samples more precisely and easier than before. Especially for agriculture, the certification of the genomic background of their plant materials would be important for the reliability of seed market and stable yield as well as for quarantine procedure. However, the analysis of NGS data is still difficult for non-computational researchers or breeders to verify their samples because majority of current softwares for NGS analysis require users to access unfamiliar Linux environment.
Here, we developed a web-application, "Soybean-VCF2Genomes", http://pgl.gnu.ac.kr/soy_vcf2genome/ to map single sample variant call format (VCF) file against known soybean germplasm collection for identification of the closest soybean accession. Based on principal component analysis (PCA), we simplified genotype matrix for lowering computational burden while maintaining accurate clustering. With our web-application, users can simply upload single sample VCF file created by more than 10x resequencing strategy to find the closest samples along with linkage dendrogram of the reference genotype matrix.
The information of the closest soybean cultivar will allow breeders to estimate relative germplasmic position of their query sample to determine soybean breeding strategies. Moreover, our VCF2Genomes scheme can be extended to other plant species where the whole genome sequences of core collection are publicly available.
下一代测序仪(NGS)和分析方法的发展使得研究人员能够以前所未有的精度和便利性来描述他们的样本。特别是对于农业来说,认证其植物材料的基因组背景对于种子市场的可靠性、稳定的产量以及检疫程序都非常重要。然而,NGS 数据分析对于非计算研究人员或育种者来说仍然具有挑战性,因为大多数当前的 NGS 分析软件都要求用户访问不熟悉的 Linux 环境。
在这里,我们开发了一个名为“Soybean-VCF2Genomes”的网络应用程序,网址为 http://pgl.gnu.ac.kr/soy_vcf2genome/,用于将单个样本变异调用格式(VCF)文件映射到已知的大豆种质资源集合上,以识别最接近的大豆接入号。基于主成分分析(PCA),我们简化了基因型矩阵,以降低计算负担,同时保持准确的聚类。通过我们的网络应用程序,用户只需上传由 10x 重测序策略创建的单个样本 VCF 文件,即可找到最接近的样本以及参考基因型矩阵的连锁树状图。
最接近的大豆品种信息将使育种者能够估计其查询样本的相对种质位置,以确定大豆的育种策略。此外,我们的 VCF2Genomes 方案可以扩展到其他植物物种,这些物种的核心收集的全基因组序列是公开的。