Natural Transposon Mutagenesis of Clinical Isolates of <i>Mycobacterium tuberculosis</i> : How Many Genes Does a Pathogen Need?
Bibliographic record
Abstract
Transposable elements can affect an organism's fitness through the insertional inactivation of genes and can therefore be used to identify genes that are nonessential for growth in vitro or in animal models. However, these models may not adequately represent the genetic requirements during chains of human infection. We have therefore conducted a genome-wide survey of transposon mutations in Mycobacterium tuberculosis isolates from cases of human infection, identifying the precise, base-specific insertion sites of the naturally occurring transposable element IS6110. Of 294 distinct insertions mapped to the strain H37Rv genome, 180 were intragenic, affecting 100 open reading frames. The number of genes carrying IS6110 in clinical isolates, and hence apparently not essential for infection and transmission, is very much lower than the estimates of nonessential genes derived from in vitro studies. This suggests that most genes in M. tuberculosis play a significant role in human infection chains. IS6110 insertions were underrepresented in genes associated with virulence, information pathways, lipid metabolism, and membrane proteins but overrepresented in multicopy genes of the PPE family, genes of unknown function, and intergenic sequences. Population genomic analysis of isolates recovered from an organism's natural habitat is an important tool for determining the significance of genes or classes of genes in the natural biology of an organism.
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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 | 0.000 | 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) | 0.001 | 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".