Evidence map›Paper›PMID 39609882›Full record

ArticleMicrobiome2024

Lineage-dependent partitioning of activities in chemoclines defines Woesearchaeota ecotypes in an extreme aquatic ecosystem.

Lilian A Cloarec, Thomas Bacchetta, Maxime Bruto, Christophe Leboulanger, Vincent Grossi, Céline Brochier-Armanet, Jean-Pierre Flandrois, Adrian Zurmely, Cécile Bernard, Marc Troussellier and 6 more

Abstract read
In one paragraph

Article in Microbiome, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Diversity of Archaea.Progress in molecular and subcellular biology · 2026
    Review
  4. Article
  5. 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

16 authors.

Lilian A CloarecUMR5240 Microbiologie Adaptation Et Pathogénie, Université, INSA Lyon, CNRS, Claude Bernard Lyon 1, Villeurbanne, 69621, France.
Thomas BacchettaUMR5240 Microbiologie Adaptation Et Pathogénie, Université, INSA Lyon, CNRS, Claude Bernard Lyon 1, Villeurbanne, 69621, France.
Maxime BrutoUniversité de Lyon, UMR Mycoplasmoses Animales, VetAgro Sup, AnsesMarcy L'Etoile, 69280, France.
Christophe LeboulangerMARBEC, Univ Montpellier, IRD, CNRS, Sète, Ifremer, France.
Vincent GrossiUMR 5276, Laboratoire de Géologie de Lyon: Terre, Univ Lyon, UCBL, CNRS, Environnement (LGL-TPE), PlanètesVilleurbanne, 69622, France.
Céline Brochier-ArmanetLaboratoire de Biométrie Et Biologie Évolutive, UMR5558, Université Claude Bernard Lyon 1, CNRS, VetAgro Sup, Villeurbanne, France.
Jean-Pierre FlandroisLaboratoire de Biométrie Et Biologie Évolutive, UMR5558, Université Claude Bernard Lyon 1, CNRS, VetAgro Sup, Villeurbanne, France.
Adrian ZurmelyLaboratoire de Biométrie Et Biologie Évolutive, UMR5558, Université Claude Bernard Lyon 1, CNRS, VetAgro Sup, Villeurbanne, France.
Cécile BernardUMR 7245 Molécules de Communication Et Adaptations Des Microorganismes (MCAM) MNHN-CNRS, Muséum National d'Histoire Naturelle, CP 39, 12 Rue Buffon, Paris, F-75231, France.
Marc TroussellierMARBEC, Univ Montpellier, IRD, CNRS, Sète, Ifremer, France.
Hélène AgoguéUMR 7266, LIENSs, La Rochelle Université-CNRS, 2 Rue Olympe de Gouges, La Rochelle, 17000, France.
Magali AderInstitut de Physique du Globe de Paris, Université de Paris, Paris, France.
Christine Oger-DesfeuxUniversité, PRABI-ASMB, Claude Bernard Lyon 1, Villeurbanne, R3728 BIOEENVIS, France.
Philippe M OgerUMR5240 Microbiologie Adaptation Et Pathogénie, Université, INSA Lyon, CNRS, Claude Bernard Lyon 1, Villeurbanne, 69621, France.
Adrien VigneronUMR5240 Microbiologie Adaptation Et Pathogénie, Université, INSA Lyon, CNRS, Claude Bernard Lyon 1, Villeurbanne, 69621, France.
Mylène HugoniUMR5240 Microbiologie Adaptation Et Pathogénie, Université, INSA Lyon, CNRS, Claude Bernard Lyon 1, Villeurbanne, 69621, France. mylene.hugoni@univ-lyon1.fr.ORCID 0000-0002-2430-1057

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDPANN archaea, including Woesearchaeota, encompass a large fraction of the archaeal diversity, yet their genomic diversity, lifestyle, and role in natural microbiomes remain elusive. With an archaeal assemblage naturally enriched in Woesearchaeota and steep vertical geochemical gradients, Lake Dziani Dzaha (Mayotte) provides an ideal model to decipher their in-situ activity and ecology.

resultsUsing genome-resolved metagenomics and phylogenomics, we identified highly diversified Woesearchaeota populations and defined novel halophilic clades. Depth distribution of these populations in the water column showed an unusual double peak of abundance, located at two distinct chemoclines that are hotspots of microbial diversity in the water column. Genome-centric metatranscriptomics confirmed this vertical distribution and revealed a fermentative activity, with acetate and lactate as end products, and active cell-to-cell processes, supporting strong interactions with other community members at chemoclines. Our results also revealed distinct Woesearchaeota ecotypes, with different transcriptional patterns, contrasted lifestyles, and ecological strategies, depending on environmental/host conditions.

conclusionsThis work provides novel insights into Woesearchaeota in situ activity and metabolism, revealing invariant, bimodal, and adaptative lifestyles among halophilic Woesearchaeota. This challenges our precepts of an invariable host-dependent metabolism for all the members of this taxa and revises our understanding of their contributions to ecosystem functioning and microbiome assemblage. Video Abstract.

Indexed as

ArchaeaEcotypeLakesPhylogenyBiodiversityEcosystemGenome, ArchaealMetagenomicsMicrobiotaWater MicrobiologyArchaeal genomic diversityEcotypesExtreme lakeMetagenomicsMetatranscriptomicsWoesearchaeales

Identifiers

PMID39609882
PMCPMC11606122

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LicenceCC BY-NC-ND
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Registered trials

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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.