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Record W4409638673 · doi:10.1016/j.soilbio.2025.109831

Ecological traits of high-affinity hydrogen-oxidizing soil bacteria involved in the hydrogen cycle

2025· article· en· W4409638673 on OpenAlexafffund
Lijun Hou, Joann K. Whalen, Philippe Constant

Bibliographic record

VenueSoil Biology and Biochemistry · 2025
Typearticle
Languageen
FieldEnvironmental Science
TopicMethane Hydrates and Related Phenomena
Canadian institutionsInstitut National de la Recherche ScientifiqueMcGill University
FundersFonds de recherche du Québec – Nature et technologiesChina Scholarship CouncilMitacsChina Sponsorship Council
KeywordsOxidizing agentHydrogenBacteriaEcologyBiologyEnvironmental chemistryChemistryEnvironmental scienceGenetics

Abstract

fetched live from OpenAlex

Every year, soil microbial-mediated hydrogen (H 2 ) oxidation removes about 80 % of the global atmospheric H 2 , an indirect greenhouse gas. Soil-dwelling high-affinity H 2 oxidizing bacteria use this trace gas as an energy source to persist when other substrates are limited or to meet their maintenance energy requirements during dormancy. However, there is limited knowledge of the distribution, composition, diversity, and functions of this group of bacteria, particularly their ecological traits (i.e., characteristics that influence their interactions with the environment and other organisms). This is because the high-affinity H 2 -oxidizing bacteria are not phylogenetically conserved, potentially due to the horizontal transfer of their functional gene, which still needs to be demonstrated. This makes it difficult to answer ecological questions related to the distribution, functional role, and ecological contribution of H 2 -oxidizing bacteria in the soil H 2 cycle, as well as their responses to environmental factors. Such information is needed to estimate the contribution of the H 2 -oxidizing bacteria to the global H 2 cycle. Although many H 2 -oxidizing bacteria are not culturable, they may share similar ecological traits when responding to environmental changes, such as pH, moisture content, and H 2 concentrations. Therefore, a community or guild-level trait-based approach (defined as the analysis of functional traits shared by groups of bacteria (guilds) that perform similar ecological roles) could be useful to synthesize complex genomic and phylogenetic information. This review discusses the impact of soil environmental factors on soil H 2 uptake (by oxidation), and identifies ecological response traits under controlled conditions. Our approach connects the biological activity of the H 2 -oxidizing bacteria to their resident environment, for scaling up and estimating the capacity of soil microbial communities to mitigate global warming linked to increased atmospheric H 2 . • Atmospheric hydrogen cycling in soil involves hydrogen-oxidizing bacteria. • High-affinity hydrogen oxidation genes may not be conserved phylogenetically. • Method was proposed for identifying ecological traits of bacteria with hhy genes. • Ecological traits explain hydrogen-oxidizing bacteria responses to soil factors.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.071
Threshold uncertainty score0.335

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.008
GPT teacher head0.223
Teacher spread0.215 · 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 designBench or experimental
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

Citations3
Published2025
Admission routes2
Has abstractyes

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