Clonal relationship of <i>Escherichia coli</i> biofilm producer isolates obtained from mastitic milk
Bibliographic record
Abstract
Escherichia coli is capable of producing several virulence factors involved in the pathophysiology of bovine mastitis. Cell surface structures such as flagella, pili, and other outer membrane adhesins are considered essential for biofilm formation on abiotic surfaces. The aim of this study was characterize the molecular profile of E. coli isolates obtained from mastitic milk by using the technique of pulsed-field gel electrophoresis (PFGE) and evaluating results within the pulsetypes formed with the presence of virulence genes involved in biofilm production. Twenty-seven E. coli biofilm-producing isolates were obtained from mastitic milk samples belonging to Brazilian Agricultural Research Corporation; these samples were analyzed by PFGE. We identified 9 (I to IX) different phylogenetic groups with a similarity of 90% and observed the presence of fimA (large subunit of the fimbriae type 1) and csgA gene (large subunit of curli fimbriae) in all isolates. Sixteen isolates had the gene fliC (flagellin). Evaluation of the genetic profile carried out through the PFGE showed that the bacteria do not share the same origin. It was not possible to associate the biofilm production capacity with the presence or absence of related genes. Therefore, strains of environmental mastitis-causing E. coli present different pathotypes.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.000 |
| 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".