Department of Bioinformatics, College of Life Sciences, Ritsumeikan University, 1-1-1 Nojihigashi, Kusatsu, Shiga 525-8577, Japan.
Nat Commun. 2012;3:1203. doi: 10.1038/ncomms2203.
Microbial ecologists have investigated roles of species richness and diversity in a wide variety of ecosystems. Recently, metagenomics have been developed to measure functions in ecosystems, but this approach is cost-intensive. Here we describe a novel method for the rapid and efficient reconstruction of a virtual metagenome in environmental microbial communities without using large-scale genomic sequencing. We demonstrate this approach using 16S rRNA gene sequences obtained from denaturing gradient gel electrophoresis analysis, mapped to fully sequenced genomes, to reconstruct virtual metagenome-like organizations. Furthermore, we validate a virtual metagenome using a published metagenome for cocoa bean fermentation samples, and show that metagenomes reconstructed from biofilm formation samples allow for the study of the gene pool dynamics that are necessary for biofilm growth.
微生物生态学家已经研究了物种丰富度和多样性在各种生态系统中的作用。最近,宏基因组学已经被开发出来用于测量生态系统中的功能,但这种方法成本很高。在这里,我们描述了一种新的方法,可以在不使用大规模基因组测序的情况下,快速有效地重建环境微生物群落中的虚拟宏基因组。我们使用从变性梯度凝胶电泳分析中获得的 16S rRNA 基因序列,将其映射到全测序基因组上,来演示这种方法,以重建类似于虚拟宏基因组的组织。此外,我们使用已发表的可可豆发酵样本的宏基因组来验证虚拟宏基因组,并表明从生物膜形成样本重建的宏基因组可以研究生物膜生长所需的基因库动态。