Genomic analysis of a new type VI secretion system in <i>Vibrio parahaemolyticus</i> and its implications for environmental adaptation in shrimp ponds
Bibliographic record
Abstract
The type VI secretion system (T6SS) in Vibrio spp. is often used to kill heteroclonal neighbors by direct injection of toxic effectors, but its strategies in aquacultural environments receive limited attention. In this study, we conducted genomic analysis for a T6SS-harboring plasmid in V. parahaemolyticus strain VP157. Coculture assays were further conducted to verify its antibacterial function. The results showed that strain VP157 harbored a 132-kb plasmid, pVP157-1, which consists of two fragments: an 87.8-kb fragment identical to plasmid pTJ114-1 and a 44.2-kb T6SS gene cluster with only 4% DNA identity to T6SS1 in the V. parahaemolyticus reference genome. Gene-by-gene analysis of six genes representing core T6SS components suggested that each gene has distinct evolutionary origins. In vitro experimental evolution revealed that pVP157-1 can excise from the VP157 genome with an excision rate of 4%. A coculture assay suggested that strain VP157 had significantly higher antibacterial activity against Bacillus pumilus and V. cholerae than the strain without pVP157-1(VP157∆T6SS). In contrast, a rapid decline was observed for the proportion of VP157∆ T6SS in a mock microbial community, which decreased from 10.7% to 2.1% in 5 days. The results highlighted that the acquisition of T6SS fostered the fitness of V . parahaemolyticus in a complex environment.
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 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 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 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".