Swarming motility growth favours the emergence of a subpopulation of <scp> <i>Pseudomonas aeruginosa</i> </scp> quorum‐sensing mutants
Bibliographic record
Abstract
Summary Pseudomonas aeruginosa exploits several types of motility behaviours to colonize diverse environments. One of these is swarming motility, a coordinated group movement on a semi‐solid surface. This bacterium needs to express a functional flagellum and produce rhamnolipids to display this type of social motility. A Δ hptB mutant, a gene part of the Gac/Rsm signalling pathway, produces rhamnolipids and expresses a functional flagellum but has an important swarming defect. Experimental‐directed evolution was performed on this mutant under swarming conditions to obtain compensatory mutations and thus identify genes responsible for its deficient swarming phenotype. Unexpectedly, a gain‐of‐function subpopulation emerged from this evolution with mutations in lasR , which codes for a key quorum‐sensing transcriptional regulator. Furthermore, we found that lasR − mutants even emerge at high frequencies in the wild‐type strain when using the same experimental evolution strategy. The resulting evolved population, largely composed of LasR‐defective mutants, is fitter than the original strain in swarming motility. We also established that lasR − mutants have a growth advantage under swarming conditions when compared with wild‐type. Our results demonstrate that a social phenotype, that is, swarming motility, favours the emergence of mutants deficient in a quorum‐sensing regulatory pathway to the benefit of the whole population.
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 | 0.000 | 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 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".