Genetic screening of Hrp type III‐related pathogenicity genes controlled by the HrpB transcriptional activator in <i>Ralstonia solanacearum</i>
Bibliographic record
Abstract
As in many other Gram-negative phytopathogenic bacteria, the Hrp type III secretion system is essential for the pathogenicity of Ralstonia solanacearum on host plants. The expression of most of the type III effector genes previously isolated from R. solanacearum is co-regulated with those of hrp genes by an AraC-type transcriptional activator, HrpB. In order to isolate type III-related pathogenicity genes, we screened hrpB-regulated genes in R. solanacearum. Using a transposon-based system, we isolated 30 novel hpx (hrpB-dependent expression) genes outside the hrp gene cluster. Most of the hpx genes contain a PIP (plant-inducible promoter) box-like motif in their putative promoter regions. Seven hpx genes encoded homologues of known type III effectors and type III-related proteins found in other animal and plant pathogens. Four encoded known enzymes, namely, glyoxalase I, Nudix hydrolase, spermidine synthase and transposase. Interestingly, six hpx genes encoded two types of leucine-rich repeat (LRR) protein. Products of the remaining genes did not show any significant homology to known proteins. We also identified two novel hrpB-regulated genes, hpaZ and hpaB, downstream of hrpY in the hrp cluster. The hpaB gene of R. solanacearum, but not hpaZ, was required for both the pathogenicity and ability to induce hypersensitive reaction on plants. We show that a hpaB null mutant still produces Hrp pili on the cell surface although it shows a typical Hrp-defective phenotype on plants.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| 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 | 0.001 |
| 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".