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Record W2144665116 · doi:10.1139/s07-017

Bacterial cultures capable of facultative growth on methane under thermophilic or thermotolerant conditions

2007· article· en· W2144665116 on OpenAlexafffundvenue
Andrew E. Laursen, Charles F. Kulpa, Maksymilian F. Niedzielski, Mario Clemente Estable

Bibliographic record

VenueJournal of Environmental Engineering and Science · 2007
Typearticle
Languageen
FieldEnvironmental Science
TopicMethane Hydrates and Related Phenomena
Canadian institutionsToronto Metropolitan University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsMethaneThermophileBacteriaFacultativeBiologyCarbon fibersBiomass (ecology)Yeast extractBacterial growthEnrichment cultureMicroorganismAnaerobic oxidation of methaneEnvironmental chemistryMicrobiologyChemistryFood scienceEcologyMaterials sciencePaleontology

Abstract

fetched live from OpenAlex

Bacteria cultured from thermal features (cultures OS and 44) and from sedimentary rock of the continental margin (SA) are capable of growth on methane as a sole carbon source under thermotolerant (OS and 44) to thermophilic (SA) conditions. All three grew better on enriched medium, suggesting methane is not a preferred substrate. Sequencing (16S rDNA) suggests OS and 44 are primarily Brevibacillus and SA is primarily Geobacillus , not members of described methanotrophic genera. These cultures appear pure based on cell morphology, however they may be consortia of tightly syntrophic bacteria. Growth on 13C-methane demonstrated that these bacteria incorporate carbon from methane. Labeling (δδ13C) was greatest when cultures were grown on methane only. When medium was supplemented with yeast extract (0.05%) labeling was less intense, however total methane incorporation was greater due to increased bacterial biomass. These bacterial cultures could have application for methane removal from waste streams at high temperatures.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

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 science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.009
GPT teacher head0.229
Teacher spread0.220 · 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 source (direct Gemma or distilled Codex), 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
Published2007
Admission routes3
Has abstractyes

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