Functional Organization of the Autotransporter Adhesin Involved in Diffuse Adherence
Bibliographic record
Abstract
The Escherichia coli adhesin involved in diffuse adherence (AIDA-I) is a multifunctional autotransporter protein that mediates bacterial aggregation and biofilm formation, as well as adhesion and invasion of cultured epithelial cells. To elucidate the structure-function relationships of AIDA-I, we performed transposon-based linker scanning mutagenesis and constructed mutants with site-directed deletions. Twenty-nine different mutants with insertions that did not affect protein expression were obtained. Eleven mutants were deficient for one or two but not all of the functions associated with the expression of AIDA-I. Functional characterization of the transposon mutants and of an additional deletion mutant suggested that the N-terminal third of mature AIDA-I is involved in binding of this protein to cultured epithelial cells. The purified product of the putative domain could bind to cultured epithelial cells, confirming the importance of this region in adhesion. We also identified several different mutants in which invasion and adhesion were changed to different extents and two mutants in which autoaggregation and biofilm formation were also affected differently. These results suggest that although conceptually linked, adhesion and invasion, as well as autoaggregation and biofilm formation, are phenomena that may rely on distinct mechanisms when they are mediated by AIDA-I. This study sheds new light on the workings of a protein belonging to an emerging family of strikingly versatile virulence factors.
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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) | 0.000 | 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".