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
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".