EXTENSIVE VARIATION IN NATURAL COMPETENCE IN<i>HAEMOPHILUS INFLUENZAE</i>
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The ability of some bacteria to take up and recombine DNA from the environment is an important evolutionary problem because its function is controversial; although populations may benefit in the long-term from the introduction of new alleles, cells also reap immediate benefits from the contribution of DNA to metabolism. To clarify how selection has acted, we have characterized competence in natural isolates of H. influenzae by measuring DNA uptake and transformation. Most of the 34 strains we tested became competent, but the amounts of DNA they took up and recombined varied more than 1000-fold. Differences in recombination were not due to sequence divergence and were only partly explained by differences in the amounts of DNA taken up. One strain was highly competent during log phase growth, unlike the reference strain Rd, but several strains did not develop competence under any of the tested conditions. Analysis of competence genes identified genetic defects in two poorly transformable strains. These results show that strains can differ considerably in the amount of DNA they take up and recombine, indicating that the benefit associated with competence is likely to vary in space and/or time.
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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 | 0.000 | 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 | 0.000 |
| 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 it