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Functional dynamics of bacterial species in the mouse gut microbiome revealed by metagenomic and metatranscriptomic analyses.

Youn Wook ChungHo Jin GwakSungmin MoonMina RhoJi-Hwan Ryu
Published in: PloS one (2020)
We demonstrated a fundamental methodology for linking genomic and transcriptomic datasets to examine functional activities of specific bacterial species in a complicated microbial environment. We investigated the normal flora of the mouse gut using three different approaches and identified Muribaculaceae, Lachnospiraceae, and Deferribacteraceae as the predominant families. The functional distribution of these families was reflected in the entire microbiome. By comparing the metagenomic and metatranscriptomic data, we found that the expression rates differed for different functional categories in the mouse gut environment. Application of these methods to track microbial transcription in individuals over time, or before and after administration of a specific stimulus will significantly facilitate future development of diagnostics and treatments.
Keyphrases
  • microbial community
  • gene expression
  • rna seq
  • transcription factor
  • current status
  • deep learning
  • long non coding rna
  • high resolution
  • artificial intelligence
  • binding protein