Genomic Characterization of an Endemic<i>Mycobacterium tuberculosis</i>Strain: Evolutionary and Epidemiologic Implications
Bibliographic record
Abstract
In a study of 302 Mycobacterium tuberculosis clinical isolates from the low-incidence Canadian-born population of Quebec, we characterized a large endemic strain family by using genomic deletions. The DS6(Quebec) deleted region (11.4 kb) defined a strain family of 143 isolates encompassing two subgroups: one characterized by pyrazinamide (PZA) susceptibility and the other marked by a PZA-monoresistant phenotype. A second deletion (8 bp) in the pncA gene was shared by all 76 isolates with the PZA resistance phenotype, whereas a third DRv0961 deletion (970 bp) defined a further subset of 15 isolates. From their deletion profiles, we derived a most parsimonious evolutionary scenario and compared multiple standard genotyping modalities (using IS6110 restriction fragment length polymorphism [RFLP], spoligotyping, and mycobacterial interspersed repetitive units [MIRU]) across the deletion-based subgroups. The use of a single genotyping modality yielded an unexpectedly high proportion of clustered isolates for a high IS6110 copy strain (27% by IS6110 RFLP, 61% by MIRU, and 77% by spoligotyping). By combining all three modalities, only 14% were genotypically clustered overall, a result more congruent with the epidemiologic profile of reactivation tuberculosis, as suggested by the older age (mean age, 60 years), rural setting, and low proportion of epidemiologic links. These results provide insight into the evolution of genotypes in endemic strains and the potential for false clustering in molecular epidemiologic studies.
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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 | 0.001 |
| Science and technology studies | 0.001 | 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".