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Geographic distribution of Desulfitobacterium frappieri PCP-1 and Desulfitobacterium spp. in soils from the province of Quebec, Canada

2001· article· en· W2169104069 on OpenAlexaffabout
Martin Lanthier, Richard Villemur, François Lépine, Jean-Guy Bisaillon, R. Beaudet

Bibliographic record

VenueFEMS Microbiology Ecology · 2001
Typearticle
Languageen
FieldEnvironmental Science
TopicMicrobial bioremediation and biosurfactants
Canadian institutionsInstitut National de la Recherche Scientifique
Fundersnot available
KeywordsBiologySoil waterPolymerase chain reactionSoil microbiologyRibosomal RNA16S ribosomal RNABacteriaEcologyGeneGenetics

Abstract

fetched live from OpenAlex

The presence of indigenous Desulfitobacterium species in 44 soil samples taken from various sites in the southern part of the province of Quebec (Canada) and four from locations outside Quebec was investigated. Twenty-four of these soils were sampled from contaminated industrial sites. Indigenous Desulfitobacterium bacteria from soil samples were enriched by cultivation in anaerobic soil slurry culture. Total DNA was then extracted from these slurries and polymerase chain reaction (PCR) amplifications were performed with primers targeting 16S ribosomal RNA gene sequences of Desulfitobacterium spp. and of Desulfitobacterium frappieri PCP-1. A positive PCR signal was obtained in 31 soil slurry cultures. Resolution of single-strand DNAs of some of the PCR products by a single-strand conformational polymorphism protocol suggests that more than one species of Desulfitobacterium were present in the corresponding slurry cultures. These results suggest that Desulfitobacterium are ubiquitous in soils in the province of Quebec, especially in soils from the St. Lawrence valley and the southern part of the province.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.441
Threshold uncertainty score0.729

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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.004
GPT teacher head0.173
Teacher spread0.168 · 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 designObservational
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

Citations34
Published2001
Admission routes2
Has abstractyes

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