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Record W4409577830 · doi:10.1093/lambio/ovaf061

Life history strategies to study the succession of H2-oxidizing bacteria and their ecological role along H2 concentration gradients in upland soils

2025· review· en· W4409577830 on OpenAlexafffund
Xavier Baril, Philippe Constant

Bibliographic record

VenueLetters in Applied Microbiology · 2025
Typereview
Languageen
FieldEnvironmental Science
TopicAtmospheric and Environmental Gas Dynamics
Canadian institutionsInstitut National de la Recherche Scientifique
FundersFonds de recherche du Québec – Nature et technologiesNatural Sciences and Engineering Research Council of Canada
KeywordsEcological successionEcologyChemosynthesisEcosystemMixotrophSoil waterBiologyBacteriaEnvironmental scienceHeterotrophPaleontology

Abstract

fetched live from OpenAlex

The recent discovery of atmospheric chemosynthesis has caused a paradigm shift in the way H2-oxidizing bacteria (HOB) are examined. The field has transitioned from the consideration of HOB as a specialized functional group benefiting from the energy potential of H2 for mixotrophic growth or persistence to a versatile group of bacteria using multiple trace gases. We discuss four life history strategies supported by H2, namely chemolithoautotrophic growth, mixotrophic growth, persistence, and atmospheric chemosynthesis. There is experimental evidence supporting the role of HOB in various ecosystem services beyond the uptake of H2 including, for instance, carbon cycling, plant growth promotion, and primary production. Decoupling between the intensity of HOB activation in soil and compositional change of microbial communities remains puzzling, highlighting our poor understanding of the ecological role of HOB. We call for new experimental approaches to delineate the interactions between HOB and the other members of the community. We propose a dedicated framework integrating life history strategies of HOB for mechanistic assessment of microbial interactions and processes supported by H2 in soil.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.799
Threshold uncertainty score0.862

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.011
GPT teacher head0.225
Teacher spread0.214 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2025
Admission routes2
Has abstractyes

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