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profiling of community-wide gene expression (RNA-seq)

While Metagenomics tells us which microbes are present and what genomic potential they have, Metatranscriptomics tells us about their activity: the genes that are highest expressed in a specific mircobial environement. Thus, Metatranscriptomics is the study of the function and activity of the complete set of transcripts (RNA-seq) from environmental samples.

  • gene activity diversity
    How many different genes are expressed in a microbial community across all species? How is the functional and pathway diversity? 

  • gene expression abundance
    Which are the highest expressed genes in a specific environmental condition? What is the most important functionality (pathway) needed in an environment?
    Gene expression is log-like distributed: Top 100 genes of highest expression can cover up to 30% of all transcripts. Even a single gene can cover up to 10%. Thus, a very high sequencing depth is required to see also lower expressed genes. 
  • differential gene expression analysis
    Which genes show the highest change in expression levels between different conditions (biomarker detection)?
    Before comparison, expression levels can be normalized by RPKM to correct for differences in sequencing depth and gene length.

Software tools

  • Kallisto - RNA-seq transcript abundance estimation
  • Kraken - assigns taxonomic labels to short sequencing reads
  • HUMAnN2 - community-wide gene transcription and pathway analysis
    • requires pairs of DNA and RNA sequencing of the same biological sample
  • PanPhlAn  -  strain-specific transcriptomics analysis
    • requires pairs of DNA and RNA sequencing of the same biological sample

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