Extensive Cotransformation of Natural Variation into Chromosomes of Naturally Competent <i>Haemophilus influenzae</i>
Bibliographic record
Abstract
Naturally competent bacterial species actively take up environmental DNA and can incorporate it into their chromosomes by homologous recombination. This can bring genetic variation from environmental DNA to recipient chromosomes, often in multiple long "donor" segments. Here, we report the results of genome sequencing 96 colonies of a laboratory Haemophilus influenzae strain, which had been experimentally transformed by DNA from a diverged clinical isolate. Donor segments averaged 6.9 kb (spanning several genes) and were clustered into recombination tracts of ~19.5 kb. Individual colonies had replaced from 0.1 to 3.2% of their chromosomes, and ~1/3 of all donor-specific single-nucleotide variants were present in at least one recombinant. We found that nucleotide divergence did not obviously limit the locations of recombination tracts, although there were small but significant reductions in divergence at recombination breakpoints. Although indels occasionally transformed as parts of longer recombination tracts, they were common at breakpoints, suggesting that indels typically block progression of strand exchange. Some colonies had recombination tracts in which variant positions contained mixtures of both donor and recipient alleles. These tracts were clustered around the origin of replication and were interpreted as the result of heteroduplex segregation in the original transformed cell. Finally, a pilot experiment demonstrated the utility of natural transformation for genetically dissecting natural phenotypic variation. We discuss our results in the context of the potential to merge experimental and population genetic approaches, giving a more holistic understanding of bacterial gene transfer.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".