Analysis of in vivo expressed genes in Mannheimia haemolytica A1
Bibliographic record
Abstract
The expression of Mannheimia haemolytica A1 genes during in vivo growth was examined by reverse transcriptase-polymerase chain reaction (RT-PCR) using total RNA extracted directly from M. haemolytica A1 recovered from pneumonic lungs of cattle. Primers specific for three groups of genes were used. Group 1 includes virulence-related genes: lktC, tbpB, ahs, nmaA, gs60 and gcp. Group 2 includes genes that code for putative two-component regulatory systems: narP, narQ, ttrR, ttrS, phoB and phoR. Group 3 includes genes involved in regular cellular functions such as plp4, thiL and rrf. The RT-PCR data were examined in conjunction with the percent pneumonic lesion in each lung scored during necropsy. The analysis showed that lungs with a higher percent pneumonic score exhibit expression of more M. haemolytica A1 genes. For group 1 genes, lktC was expressed in the majority of samples, whereas the other genes were only expressed in some samples. This was not unexpected as the leukotoxin is a major virulence factor of the bacterium. The genes encoding the response regulators for the putative two-component regulatory systems were found to be expressed in more samples than the genes encoding the sensor proteins. The regulator proteins may be required in higher levels to regulate expression of target genes.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
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".