Comparative genome analysis of colistin-resistant Escherichia coli harboring mcr isolated from rural community residents in Ecuador and Vietnam
Bibliographic record
Abstract
The spread of colistin-resistant bacteria among rural community residents of low- and middle-income countries is a major threat to community health. Although the mechanism of the spread of colistin-resistant bacteria in communities is unknown, geographic and regional characteristics may influence it. To elucidate the spread mechanism of colistin-resistant bacteria, we analyzed the genomes of colistin-resistant Escherichia coli isolated from Vietnam and Ecuador residents, which are geographically and socially different. Stool specimens of 139 and 98 healthy residents from Ecuador and Vietnam rural communities, respectively, were analyzed for colistin-resistant E. coli with mcr. Its prevalence in the residents of all the communities assessed was high and approximately equal in both countries: 71.8% in Ecuador and 69.4% in Vietnam. A phylogenetic tree analysis revealed that the sequence type of colistin-resistant E. coli was diverse and the major sequence types were different between the two countries. The location of mcr in the isolates showed that the proportion of chromosomal mcr was 35.1% and 8.5% in the Vietnam and Ecuador isolates, respectively. Most of these chromosomal mcr genes (75%-76%) had an intact mcr-transposon Tn6330. Contrastingly, the replicon types of the mcr-carrying-plasmids were diverse in both countries, but almost all belonged to IncI2 in Ecuador and IncX1/X4 in Vietnam. Approximately 26%-45% of these mcr-plasmids had other resistance genes, which also varied between countries. These results suggest that although the overall profile of the colistin-resistant E. coli isolates is diverse in these countries, the phylogenesis of the isolates and mcr-carrying plasmids has regional characteristics. Although the contributing factors are not clear, it is obvious that the overall profile of colistin-resistant bacteria dissemination varies between countries. Such different epidemic patterns are important for establishing country-specific countermeasures against colistin-resistant bacteria.
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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 | 0.001 | 0.001 |
| 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".