Evidence map›Paper›PMID 42345569›Full record

ReviewMicrobiology and molecular biology reviews : MMBR2026

From dividing to dormant: embracing the full activity spectrum for environmental microorganisms.

Ludivine Guigard, Victor Bal, A Fina Bintarti, Margaux Buron, Emma Chavan, Milena Gonzalo, Xipeng Liu, Wei Zheng, Ashley Shade

Abstract readReview
In one paragraph

Review in Microbiology and molecular biology reviews : MMBR, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Ludivine GuigardUniversité Lyon 1, CNRS, INRAE, LEM, UMR 5557, Villeurbanne, France.ORCID 0000-0002-4344-2007
Victor BalUniversité Lyon 1, CNRS, INRAE, LEM, UMR 5557, Villeurbanne, France.ORCID 0009-0007-6002-381X
A Fina BintartiUniversité Lyon 1, CNRS, INRAE, LEM, UMR 5557, Villeurbanne, France.
Margaux BuronUniversité Lyon 1, CNRS, INRAE, LEM, UMR 5557, Villeurbanne, France.
Emma ChavanUniversité Lyon 1, CNRS, INRAE, LEM, UMR 5557, Villeurbanne, France.
Milena GonzaloUniversité Lyon 1, CNRS, INRAE, LEM, UMR 5557, Villeurbanne, France.ORCID 0000-0003-0411-9335
Xipeng LiuUniversité Lyon 1, CNRS, INRAE, LEM, UMR 5557, Villeurbanne, France.
Wei ZhengCollege of Resources and Environment, Northwest A&F University, South Campus of Northwest A&F University, Yangling, Shaanxi, China.
Ashley ShadeUniversité Lyon 1, CNRS, INRAE, LEM, UMR 5557, Villeurbanne, France.ORCID 0000-0002-7189-3067

Funding

European Research Council 101087042
6 · The paper itself

Abstract

SUMMARYMicroorganisms can cope with stress by entering dormancy, a viable state of reduced metabolic activity that enables persistence, dispersal, and long-term survival. However, microbial life in environmental systems is best understood as a spectrum of metabolic activity, spanning from highly active, dividing cells to deeply dormant phenotypes. This spectrum reflects dynamic survival strategies under fluctuating conditions, with critical implications for ecosystem stability, gene dissemination, and resilience to disturbances in natural and human-influenced systems. Yet, microbial activity is often treated as binary (active vs. dormant), oversimplifying a biological continuity that remains technically difficult to quantify. Here, we synthesize advances in microbial dormancy to reconceptualize activity as a spectrum. We review current and emerging methods to quantify environmental activity, linking each to the Central Dogma of molecular biology (DNA to RNA to protein) to guide interpretation along a generalizable continuum. Through a literature synthesis of terrestrial, aquatic, and wastewater treatment ecosystems, we compare how methods estimate active cells and populations. We recommend standardized reporting of total community size, active cell abundance, and proportional activity to enrich the interpretation of microbiome 'omics data, with activity intensity and active-inactive switching providing deeper insights. To achieve this, we advocate for increased accessibility and throughput of precise activity-discriminating technologies, alongside renewed use of reliable methods like direct cell counts and activity stains. Adopting this spectrum-based perspective will improve our ability to tackle key societal challenges, such as understanding microbial contributions to ecosystem function under climate change and gene dispersal at human-environment interfaces.

Indexed as

BacteriaEnvironmental MicrobiologyMicrobiotaEcosystemHumansactive cellsactive taxaclimate changecommunity sizedormancypersistersporestorage effectstructure-activity relationshipsVBNC

Identifiers

PMID42345569
PMCPMC13602961

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.