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MetaMetaDB: A Database and Analytic System for Investigating Microbial Habitability

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 prokaryot...

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Autores principales: Yang, Ching-chia, Iwasaki, Wataru
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3903645/
https://www.ncbi.nlm.nih.gov/pubmed/24475242
http://dx.doi.org/10.1371/journal.pone.0087126
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author Yang, Ching-chia
Iwasaki, Wataru
author_facet Yang, Ching-chia
Iwasaki, Wataru
author_sort Yang, Ching-chia
collection PubMed
description 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.
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spelling pubmed-39036452014-01-28 MetaMetaDB: A Database and Analytic System for Investigating Microbial Habitability Yang, Ching-chia Iwasaki, Wataru PLoS One Research Article 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. Public Library of Science 2014-01-27 /pmc/articles/PMC3903645/ /pubmed/24475242 http://dx.doi.org/10.1371/journal.pone.0087126 Text en © 2014 Yang, Iwasaki http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Yang, Ching-chia
Iwasaki, Wataru
MetaMetaDB: A Database and Analytic System for Investigating Microbial Habitability
title MetaMetaDB: A Database and Analytic System for Investigating Microbial Habitability
title_full MetaMetaDB: A Database and Analytic System for Investigating Microbial Habitability
title_fullStr MetaMetaDB: A Database and Analytic System for Investigating Microbial Habitability
title_full_unstemmed MetaMetaDB: A Database and Analytic System for Investigating Microbial Habitability
title_short MetaMetaDB: A Database and Analytic System for Investigating Microbial Habitability
title_sort metametadb: a database and analytic system for investigating microbial habitability
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3903645/
https://www.ncbi.nlm.nih.gov/pubmed/24475242
http://dx.doi.org/10.1371/journal.pone.0087126
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