Characterizing putative glycosyltransferases within the flagella glycosylation island (FGI) of <i>Aeromonas hydrophila</i> ATCC 7966 <sup>T</sup>
Bibliographic record
Abstract
ABSTRACT Motility is an important virulence factor for many pathogenic bacteria, enabling locomotion towards favourable conditions and away from hostile environments. Flagellar-mediated motility is driven by one or more flagellar filaments that extend outside of the cell and rapidly rotate to generate movement. These filaments are assembled through the polymerization of thousands of copies of structural flagellin proteins. It has been shown that flagellin glycosylation is often a prerequisite for proper flagella structure and function. Aeromonas hydrophila ATCC 7966 T , a clinical and environmental pathogen, elaborates a single polar flagellum. The polar flagellin structural proteins FlaA and FlaB are glycosylated with a heterologous collection of complex penta- and hexa-saccharide chains. This study characterized the involvement of four genes with homology to known glycosyltransferases located within the A. hydrophila ATCC 7966 T flagellar glycosylation island (FGI) in the biosynthesis of the complex polysaccharide glycans modifying the polar flagellins. Deletion of genes AHA_4167 , AHA_4169 , AHA_4170 , and AHA_4171 were observed to have truncated glycans with sequentially shorter chain length, and all of these mutant strains had reduced motility compared to wild type bacteria.
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 | 0.000 | 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 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".