Ea22 Proteins from Lambda and Shiga Toxin-Producing Bacteriophages Balance Structural Diversity with Functional Similarity
Bibliographic record
Abstract
Enterohemorrhagic Escherichia coli (EHEC) outbreaks are commonly associated with contaminated food sources. Unlike normal intestinal bacteria, EHEC are lysogens of lambdoid bacteriophages that also carry a gene for Shiga toxin. Oxidative attack by the immune system or other stressors on the bacterial host can activate the lytic pathway of the latent phage genome to produce phage progeny and the release of Shiga toxin into the surrounding tissues. Within the genomes of bacteriophage λ and Shiga toxin-expressing (Stx+) phages such as φ24B and φP27, there is a conserved set of open reading frames that is located between the exo and xis genes that influences the lysogenic–lytic decision. In this report, we have focused on the largest exo–xis region open reading frame termed ea22 that has been shown previously to have prolysogenic properties. Using a variety of biophysical and bioinformatic methods, we demonstrate that λ and φP27 Ea22 proteins are tetrameric in solution and can be considered in terms of an amino-terminal region, a central coiled-coil region, and a carboxy-terminal region. The carboxy-terminal regions of λ and φ24B Ea22, expressed on their own, form dimers with exceptional thermostability. Limited proteolysis of φP27 Ea22 also identified a C-terminal region along the predicted boundaries. While the three Ea22 proteins all appear to have the hallmarks of a domain in their respective C-terminal regions, each sequence is remarkably dissimilar. To reconcile this difference among Ea22 proteins from λ and Stx+ phages alike, we speculate that each Ea22 may achieve the same function by targeting different components of the same regulatory process in the host.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.001 |
| 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 teacher head, 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".