Tandem tyrosine residues in the EPEC multicargo chaperone CesT support differential type III effector translocation and early host colonization
Bibliographic record
Abstract
Abstract Enteropathogenic Escherichia coli (EPEC) are worldwide human enteric pathogens inflicting significant morbidity and causing large economic losses. A type 3 secretion system (T3SS) is critical for EPEC intestinal colonization, and injection of effectors into host cells contributes to cellular subversion and innate immune evasion. Here, we demonstrate that two strictly conserved C-terminal tyrosine residues, Y152 and Y153, within the multicargo T3SS chaperone CesT serve differential roles in regulating effector secretion in EPEC. Conservative substitution of both tyrosine residues to phenylalanine attenuated EPEC type 3 effector injection into host cells, and significantly limited Tir effector mediated intimate adherence, a key feature of attaching and effacing pathogenesis. Whereas CesT Y153 supported normal levels of Tir translocation, CesT Y152 was strictly required for the effector NleA to be expressed and subsequently translocated into host cells during infection. Other effectors were observed to be dependent on CesT Y152 for maximal translocation efficiency. Unexpectedly, EPEC expressing a CesT Y152, Y153F variant exhibited significantly enhanced effector translocation of many CesT-interacting effectors, further implicating Y152 in CesT functionality. A mouse infection model of EPEC intestinal disease using Citrobacter rodentium revealed that CesT tyrosine substitution variants displayed delayed colonization and were more rapidly cleared from the intestine. These data demonstrate genetically separable functions for strictly conserved tandem tyrosine residues within CesT. Tyrosine 152 of CesT is implicated in NleA expression, providing functional relevance for localized amino acid conservation. Therefore, CesT via its novel C-terminal domain, has relevant roles beyond typical T3SC that interact and stabilize effector proteins.
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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) | 0.001 | 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".