Yang Ching-chia, Iwasaki Wataru
Atmosphere and Ocean Research Institute, the University of Tokyo, Kashiwa, Chiba, Japan.
PLoS One. 2014 Jan 27;9(1):e87126. doi: 10.1371/journal.pone.0087126. eCollection 2014.
MetaMetaDB (http://mmdb.aori.u-tokyo.ac.jp/) is a database and analytic system for investigating microbial habitability, i.e., how a prokaryotic group can inhabit different environments. The interaction between prokaryotes and the environment is a key issue in microbiology because distinct prokaryotic communities maintain distinct ecosystems. Because 16S ribosomal RNA (rRNA) sequences play pivotal roles in identifying prokaryotic species, a system that comprehensively links diverse environments to 16S rRNA sequences of the inhabitant prokaryotes is necessary for the systematic understanding of the microbial habitability. However, existing databases are biased to culturable prokaryotes and exhibit limitations in the comprehensiveness of the data because most prokaryotes are unculturable. Recently, metagenomic and 16S rRNA amplicon sequencing approaches have generated abundant 16S rRNA sequence data that encompass unculturable prokaryotes across diverse environments; however, these data are usually buried in large databases and are difficult to access. In this study, we developed MetaMetaDB (Meta-Metagenomic DataBase), which comprehensively and compactly covers 16S rRNA sequences retrieved from public datasets. Using MetaMetaDB, users can quickly generate hypotheses regarding the types of environments a prokaryotic group may be adapted to. We anticipate that MetaMetaDB will improve our understanding of the diversity and evolution of prokaryotes.
MetaMetaDB(http://mmdb.aori.u-tokyo.ac.jp/)是一个用于研究微生物宜居性的数据库和分析系统,即原核生物群体如何栖息于不同环境。原核生物与环境之间的相互作用是微生物学中的一个关键问题,因为不同的原核生物群落维持着不同的生态系统。由于16S核糖体RNA(rRNA)序列在鉴定原核生物物种中起着关键作用,因此一个将不同环境与栖息原核生物的16S rRNA序列全面关联的系统对于系统理解微生物宜居性是必要的。然而,现有的数据库偏向于可培养的原核生物,并且在数据的全面性方面存在局限性,因为大多数原核生物是不可培养的。最近,宏基因组和16S rRNA扩增子测序方法产生了丰富的16S rRNA序列数据,这些数据涵盖了不同环境中不可培养的原核生物;然而,这些数据通常被埋没在大型数据库中,难以获取。在本研究中,我们开发了MetaMetaDB(宏基因组数据库),它全面且紧凑地涵盖了从公共数据集中检索到的16S rRNA序列。使用MetaMetaDB,用户可以快速生成关于原核生物群体可能适应的环境类型的假设。我们预计MetaMetaDB将增进我们对原核生物多样性和进化的理解。