Cargando…
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...
Autores principales: | , |
---|---|
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 |
_version_ | 1782301129540894720 |
---|---|
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. |
format | Online Article Text |
id | pubmed-3903645 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT yangchingchia metametadbadatabaseandanalyticsystemforinvestigatingmicrobialhabitability AT iwasakiwataru metametadbadatabaseandanalyticsystemforinvestigatingmicrobialhabitability |