Contribution of the SitABCD, MntH, and FeoB Metal Transporters to the Virulence of Avian Pathogenic <i>Escherichia coli</i> O78 Strain χ7122
Bibliographic record
Abstract
The roles of SitABCD, MntH, and FeoB metal transporters in the virulence of avian pathogenic Escherichia coli (APEC) O78 strain chi7122 were assessed using isogenic mutants in chicken infection models. In a single-strain infection model, compared to chi7122, the Deltasit strain demonstrated reduced colonization of the lungs, liver, and spleen. Complementation of the Deltasit strain restored virulence. In a coinfection model, compared to the virulent APEC strain, the Deltasit strain demonstrated mean 50-fold, 126-fold, and 25-fold decreases in colonization of the lungs, liver, and spleen, respectively. A DeltamntH Deltasit strain was further attenuated, demonstrating reduced persistence in blood and mean 1,400-fold, 954-fold, and 83-fold reduced colonization in the lungs, liver, and spleen, respectively. In coinfections, the DeltafeoB Deltasit strain demonstrated reduced persistence in blood but increased colonization of the liver. The DeltamntH, DeltafeoB, and DeltafeoB DeltamntH strains were as virulent as the wild type in either of the infection models. Strains were also tested for sensitivity to oxidative stress-generating agents. The DeltamntH Deltasit strain was the most sensitive strain and was significantly more sensitive than the other strains to hydrogen peroxide, plumbagin, and paraquat. sit sequences were highly associated with APEC and human extraintestinal pathogenic E. coli compared to commensal isolates and diarrheagenic E. coli. Comparative genomic analyses also demonstrated that sit sequences are carried on conjugative plasmids or associated with phage elements and were likely acquired by distinct genetic events among pathogenic E. coli and Shigella sp. strains. Overall, the results demonstrate that SitABCD contributes to virulence and, together with MntH, to increased resistance to oxidative stress.
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 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 | 0.001 | 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 | 0.000 |
| 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".