MetaMetaDB: a database and analytic system for investigating microbial habitability

Area of Science:

• Microbiology
• Bioinformatics
• Environmental Science

Background:

• Distinct prokaryotic communities shape unique ecosystems, making microbial habitability a key research area.
• Understanding prokaryote-environment interactions requires comprehensive data linking 16S ribosomal RNA (rRNA) sequences to diverse environments.
• Existing databases are limited by bias towards culturable prokaryotes and lack data on unculturable species.

Purpose of the Study:

• To develop MetaMetaDB (Meta-Metagenomic DataBase), a system for investigating microbial habitability.
• To create a comprehensive and accessible resource for 16S rRNA sequences from diverse environments, including unculturable prokaryotes.
• To enable rapid hypothesis generation regarding prokaryotic adaptation to different environments.

Main Methods:

• Development of MetaMetaDB, a database and analytic system.
• Integration of 16S rRNA sequences from public metagenomic and amplicon sequencing datasets.
• Focus on data from both culturable and unculturable prokaryotes across various environments.

Main Results:

• MetaMetaDB provides a comprehensive and compact collection of 16S rRNA sequences.
• The system facilitates easy access to data previously buried in large, disparate databases.
• Users can efficiently generate hypotheses about microbial habitability and prokaryotic adaptation.

Conclusions:

• MetaMetaDB enhances the systematic understanding of microbial habitability.
• The database is expected to advance research on prokaryotic diversity and evolution.
• This resource addresses limitations of previous databases by including data on unculturable prokaryotes.