Virulence Genes and the Antimicrobial Susceptibility of <i>Escherichia coli</i> , Isolated from Wild Waterbirds, in the Netherlands and Poland
Bibliographic record
Abstract
Affiliation to four phylogroups (A, B1, B2, and D) was examined, among 190 Escherichia coli strains, collected from five, wild waterbird species, including the following: the Greylag goose-Anser anser (61) and the Canada goose-Branta canadensis (33) obtained in the Netherlands, and the Mallard-Anas platyrhynchos (38), the Mute swan-Cygnus olor (37), and the Great cormorant-Phalacrocorax carbo (21) obtained in Poland. Moreover, the prevalence of 10 virulence factors: astA, iss, iucD, irp2, papC, tsh, vat, cva/cvi, stx2f, and bfp, as well as antimicrobial susceptibility to amoxicillin, enrofloxacin, and tetracycline (minimum inhibitory concentration [MIC] using E-tests) were investigated, in the examined E. coli strains. Results demonstrated that the greatest number of E. coli strains belonged to phylogenetic groups, B1 (86 strains-45.3%) and D (49 strains-25.8%), whereas 40 (21.0%) and only 15 (7.9%) isolates were classified as being of phylogenetic groups, A and B2, respectively. Among the 10 tested virulence-associated genes, 7 genes were detected in 61 examined strains (32.1%) with highly varying frequency. Virulence profiles showed that astA, iss, and irp2 genes were detected most frequently among all examined E. coli strains, isolated from every chosen bird species. Antimicrobial susceptibility, as detected by MIC for the examined antibiotics, is variable among strains isolated from different species of birds. The aim of this study was to examine the prevalence of E. coli strains, isolated from different species of wild waterbirds and determine their potential pathogenicity to the environment, other birds, and people.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".