Department of Biological Information, Graduate School of Bioscience and Biotechnology, Tokyo Institute of Technology, Yokohama 226-8501, Japan.
BMC Bioinformatics. 2010 Jun 18;11:332. doi: 10.1186/1471-2105-11-332.
Understanding the community structure of microbes is typically accomplished by sequencing 16S ribosomal RNA (16S rRNA) genes. These community data can be represented by constructing a phylogenetic tree and comparing it with other samples using statistical methods. However, owing to high computational complexity, these methods are insufficient to effectively analyze the millions of sequences produced by new sequencing technologies such as pyrosequencing.
We introduce a web tool named VITCOMIC (VIsualization tool for Taxonomic COmpositions of MIcrobial Community) that can analyze millions of bacterial 16S rRNA gene sequences and calculate the overall taxonomic composition for a microbial community. The 16S rRNA gene sequences of genome-sequenced strains are used as references to identify the nearest relative of each sample sequence. With this information, VITCOMIC plots all sequences in a single figure and indicates relative evolutionary distances.
VITCOMIC yields a clear representation of the overall taxonomic composition of each sample and facilitates an intuitive understanding of differences in community structure between samples. VITCOMIC is freely available at http://mg.bio.titech.ac.jp/vitcomic/.
通常通过测序 16S 核糖体 RNA(16S rRNA)基因来了解微生物群落结构。可以通过构建系统发育树并使用统计方法将这些群落数据与其他样本进行比较来表示。但是,由于计算复杂度高,这些方法不足以有效分析焦磷酸测序等新技术产生的数百万个序列。
我们引入了一个名为 VITCOMIC(微生物群落分类组成的可视化工具)的网络工具,它可以分析数百万个细菌 16S rRNA 基因序列,并计算微生物群落的总体分类组成。基因组测序菌株的 16S rRNA 基因序列被用作参考,以确定每个样本序列的最近亲缘关系。有了这些信息,VITCOMIC 可以在一个单一的图形中绘制所有序列,并指示相对进化距离。
VITCOMIC 清晰地表示了每个样本的总体分类组成,并有助于直观地理解样本之间群落结构的差异。VITCOMIC 可在 http://mg.bio.titech.ac.jp/vitcomic/ 免费获得。