Investigation of Two <i>Mycobacterium abscessus</i> Outbreaks in Quebec Using Whole Genome Sequencing
Bibliographic record
Abstract
In recent decades, nontuberculous mycobacteria (NTM) infections are of emerging public health concern and have contributed towards significant clinical and economic burden globally. One such rapid growing mycobacteria, Mycobacterium abscessus , can cause clonal outbreaks, and these bacteria exhibit a highly resistant antimicrobial susceptibility profile. Here, we present an investigation of two small outbreaks of M. abscessus : first in a pediatric clinic setting and second in a tattoo parlour from Quebec. Two whole genome sequencing approaches were utilized for genotyping: MAB‐MLST, a multilocus sequencing typing scheme containing housekeeping, identification, and antimicrobial resistance genes, and SNVPhyl that uses phylogenetics to determine single nucleotide variations between strains. MAB‐MLST results showed that the pediatric outbreak strains had two distinct sequence types, demonstrating that one strain did not belong to the outbreak, while all tattoo outbreak isolates belonged to the same sequence type. SNVPhyl results were similar to MAB‐MLST results and showed that the pediatric outbreak strains tightly clustered together with 0‐1 SNVs between isolates, a sharp contrast between unrelated strains used as controls. Similar results were seen for tattoo outbreak cases with 3‐11 SNVs between isolates. NTM infections can be difficult to identify, and outbreak investigations can be complicated. Thus, WGS tools can be used in public health outbreak investigations as they provide high discriminatory power.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 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".