Comparative Analysis of Mobilizable Genomic Islands
Bibliographic record
Abstract
Mobilizable genomic islands (MGIs) are small genomic islands of less than 35 kbp containing an integrase gene and a sequence that resembles the origin of transfer (oriT) of an integrating conjugative element (ICE). MGIs have been shown to site-specifically integrate and excise from the chromosome of bacterial hosts and hijack the conjugative machinery of a coresident ICE to disseminate. To date, MGIs have been described in three strains belonging to three different Vibrio species. In this study, we report the discovery of 11 additional putative MGIs found in various species of Vibrio, Alteromonas, Pseudoalteromonas, and Methylophaga. We designed an MGI capture system that allowed us to relocate chromosomal MGIs onto a low-copy-number plasmid and facilitate their isolation and sequencing. Comparative genomics and phylogenetic analyses of these mobile genetic elements revealed their mosaic structure and their evolution through recombination and acquisition of exogenous DNA. MGIs were found to belong to a larger family of genomic islands (GIs) sharing a similar integrase gene and often integrated into the same integration site yet exhibiting a different mechanism of regulation of excision and mobilization. We found that MGIs can excise only when an ICE of the SXT/R391 family is coresident in the same cell, while GIs still excise regardless.
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 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.002 | 0.001 |
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".