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Development of a competitive polymerase chain reaction assay for the ruminal bacterium<i>Butyrivibrio fibrisolvens</i>OB156 and its use for tracking an OB156-derived recombinant

2000· article· en· W2158932650 on OpenAlexaff
Yasuo Kobayashi, Robert J. Forster, Ronald M. Teather

Bibliographic record

VenueFEMS Microbiology Letters · 2000
Typearticle
Languageen
FieldImmunology and Microbiology
TopicMicrobial infections and disease research
Canadian institutionsAgriculture and Agri-Food Canada
Fundersnot available
KeywordsRecombinant DNAPolymerase chain reactionBacteriaMolecular biologyPrimer (cosmetics)BiologyDNARumenPolymeraseMicrobiologyBiochemistryChemistryGeneGenetics

Abstract

fetched live from OpenAlex

A competitive polymerase chain reaction assay targeting the 16S rDNA was developed for quantitating the rumen bacterium Butyrivibrio fibrisolvens OB156. A competitor DNA, serving as an internal control in the competitive polymerase chain reaction reaction, was constructed by polymerase chain reaction using a looped oligo longer than the normal primer. Coamplification of the target DNA with known amounts of the competitor DNA allowed quantitation of the target DNA in both pure culture and mixed culture systems, where minimum quantifiable level of OB156 was 1.7x10(2) and 5.6x10(4) cells, respectively. When an erythromycin-resistant recombinant derived from OB156 was inoculated into a rumen fluid culture, its numbers decreased with time. The rate of decrease measured by the competitive polymerase chain reaction assay was much slower than the rate determined by culture enumeration using erythromycin selection. The competitive polymerase chain reaction assay also showed 48 h persistence of the recombinant at 10(4) ml(-1) even after disappearance of culturable recombinant, suggesting maintenance of the target DNA from uncultivable cells. In an in vivo tracking trial, the recombinant became undetectable within 72 h with either assay, indicating rapid hydrolysis and/or outflow of the cells from the rumen.

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)0.001
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 score0.145
Threshold uncertainty score0.972

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.033
GPT teacher head0.268
Teacher spread0.236 · 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

Citations27
Published2000
Admission routes1
Has abstractyes

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