Genetic Characteristics of the Transmissible Locus of Stress Tolerance (tLST) and tLST Harboring Escherichia coli as Revealed by Large-Scale Genomic Analysis
Bibliographic record
Abstract
This study, through a large-scale genomic analysis, demonstrated that the genomic island tLST related to multiple stress resistance (such as extreme heat resistance and oxidative stress tolerance) in E. coli is differentially present in subgroups of E. coli and is strongly associated with certain phylogenetic background of the host strain. The study also shows the transmission mechanisms of tLST in E. coli and other bacterial species. The overall negative association of tLST, and virulence genes and antimicrobial (AMR) genes suggest the selective pressures for the acquisition and transmission of these traits likely differ. Even so, the high prevalence of tLST in the enterotoxigenic E. coli clone ST2332 and co-occurrence of tLST and AMR genes in E. coli are concerning. Thus, the findings better our understanding of tLST evolution and provide information for risk assessment of tLST harboring bacteria.
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 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 | 0.000 |
| 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".