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Analyzing Gene Expression from Marine Microbial Communities using Environmental Transcriptomics
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A case for absolute gene expression estimates in microbiome studies using metatranscriptomics.

Michiel Perneel1,2,3, Harriet Alexander4, Pascal I Hablützel1,5

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|August 22, 2025
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Summary
This summary is machine-generated.

Metatranscriptomics reveals microbial community dynamics. Estimating absolute transcript abundances, not just relative, better explains gene expression changes driven by population shifts. This approach enhances understanding of microbial ecosystems.

Keywords:
absolute gene expressionmetatranscriptomicsmicrobial community dynamics

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Area of Science:

  • Microbial Ecology
  • Systems Biology
  • Genomics

Background:

  • Metatranscriptomics is crucial for studying microbial community functional dynamics in situ.
  • Gene expression changes are influenced by individual cell responses and population dynamics.
  • Current methods often rely on relative expression measures.

Purpose of the Study:

  • To advocate for the estimation of absolute transcript abundances in metatranscriptomics.
  • To demonstrate how absolute abundances improve the understanding of population dynamics' impact on gene expression.
  • To highlight the limitations of relative expression measures.

Main Methods:

  • Utilizing a perspective-based approach.
  • Analyzing a case study on microeukaryotic plankton in the North Sea.
  • Comparing relative versus absolute transcript abundance estimations.

Main Results:

  • Absolute transcript abundances provide a more comprehensive view of gene expression changes.
  • Population dynamics significantly influence overall community gene expression patterns.
  • The study illustrates the utility of absolute quantification in ecological contexts.

Conclusions:

  • Integrating absolute transcript abundance measurements is vital for accurate metatranscriptomic interpretation.
  • This method offers deeper insights into microbial community functional responses to environmental changes.
  • Future metatranscriptomic studies should consider absolute quantification for robust ecological conclusions.