A contact-independent T6SS killing pathway mediated by a microcin-like nuclease effector possesses intrinsic cell-entry mechanisms
Bibliographic record
Abstract
Abstract The type VI secretion system (T6SS) is generally considered as a contact-dependent, receptor-independent bacterial weapon that injects toxic effectors into eukaryotic and prokaryotic cells to cause cellular damage. Herein, we report a non-canonical contact-independent T6SS killing pathway in Yersinia pseudotuberculosis (Yptb) that secretes an unusual microcin-like nuclease effector Tce1. The 67 amino acid Tce1 functions as a Ca2+, Mg2+-dependent DNase toxin and its toxicity is inhibited by the cognate immunity protein Tci1. Yptb T6SS-3 can mediate either contact-dependent competition by directly injecting Tce1 into neighboring cells as canonical T6SSs, or contact-independent competition by secreting Tce1 into the extracellular milieu. The entry of secreted Tce1 into target cells requires OmpF and BtuB in the outer membrane and TolB in the periplasm of target cells. This dual mode property of T6SS-3 enabling effector delivery confers Yptb competitive advantages not only on solid surfaces, but also in liquid culture. The Tce1-mediated T6SS antibacterial pathway is also required for optimal colonization of the mouse gut by Yptb, whereby it eliminates competing commensals and enteric pathogens. The discovery of a contact-independent, receptor-dependent long-range T6SS delivery mechanism provides a new perspective for understanding the physiological roles of T6SS in competition.
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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 | 0.001 |
| 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".