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Updated: Jun 26, 2026

Prospecting Microbial Strains for Bioremediation and Probiotics Development for Metaorganism Research and Preservation
Published on: October 31, 2019
From dividing to dormant: embracing the full activity spectrum for environmental microorganisms
Ludivine Guigard1, Victor Bal1, A Fina Bintarti1
1Université Lyon 1, CNRS, INRAE, LEM, UMR 5557, Villeurbanne, France.
Microbial life exists on a spectrum from active to dormant, not just binary states. Understanding this microbial activity spectrum is crucial for ecosystem stability and gene dispersal.
Area of Science:
- Microbiology
- Environmental Science
- Molecular Biology
Background:
- Microbial life exhibits a range of metabolic activity, from highly active to dormant states.
- This spectrum is critical for understanding microbial persistence, dispersal, and survival in diverse ecosystems.
- Current approaches often oversimplify microbial activity as a binary (active vs. dormant).
Purpose of the Study:
- To reconceptualize microbial activity as a spectrum rather than a binary state.
- To synthesize advances in microbial dormancy and methods for quantifying activity.
- To guide interpretation of microbial activity along a generalizable continuum.
Main Methods:
- Literature synthesis of terrestrial, aquatic, and wastewater treatment ecosystems.
- Review of current and emerging methods to quantify environmental microbial activity.
- Linking quantification methods to the Central Dogma (DNA to RNA to protein).
Main Results:
- Microbial activity is best understood as a continuum, not a binary state.
- Various methods can estimate active microbial cells and populations across ecosystems.
- Standardized reporting of community size, active abundance, and proportional activity is recommended.
Conclusions:
- Adopting a spectrum-based perspective enhances understanding of microbial roles in ecosystem function.
- Improved quantification of microbial activity is vital for addressing climate change and gene dispersal.
- Increased accessibility to precise activity-discriminating technologies is advocated.
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