Regulatory role of UvrY in adaptation of <i>Photorhabdus luminescens</i> growth inside the insect
Bibliographic record
Abstract
We report global expression profiling of a uvrY-deficient mutant of Photorhabdus luminescens. We found that the regulator moiety of the two-component regulatory system BarA/UvrY regulated more than 500 target genes coding for functions involved in the synthesis of major compartments and metabolic pathways of the cell. This regulation appeared to be in part indirect as UvrY affected the expression of several regulators. Indeed, the flagellum biosynthesis transcription activator FlhC and the flagella regulon were induced in the absence of UvrY, leading to a hyperflagellated phenotype and an increase in motility and biofilm formation. Two major regulatory systems were also altered: the type 2 quorum-sensing inducer AI-2 was activated by UvrY, and the CsrA regulator function appeared to be repressed by the increase of the small-untranslated RNA csrB, the CsrA activity inhibitor TldD and the chaperonin GroESL. Both through and independently of these systems, UvrY regulated oxidative stress resistance; bioluminescence; iron, sugar and peptide transport; proteases; polyketide synthesis enzymes and nucleobases recycling, related to insect degradation and assimilation by bacteria. As a consequence, the uvrY-deficient strain exhibited a decreased killing of insect cells and a reduced growth on insect cells culture, suggesting a UvrY role in the adaptation of P. luminescens inside the insect.
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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 | 0.000 |
| 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".