Effect of the cortex-lytic enzyme SleC from non-food-borne Clostridium perfringens on the germination properties of SleC-lacking spores of a food poisoning isolate
Bibliographic record
Abstract
The hallmark of bacterial spore germination is peptidoglycan cortex hydrolysis by cortex-lytic enzymes. In spores of Clostridium perfringens wild-type strain SM101, which causes food poisoning, the sole essential cortex-lytic enzyme SleC is activated by a unique serine protease CspB. Interestingly, the non-food-borne wild-type strain F4969 encodes a significantly divergent SleC variant (SleCF4969) and 3 serine proteases (CspA, CspB, and CspC). Consequently, in this study we evaluated the functional compatibility of SleCF4969 and SleCSM101 by complementing the germination phenotypes of SM101ΔsleC spores with sleCF4969. Our results show that although pro-SleCF4969 was processed into mature SleCF4969 in the SM101ΔsleC spores, it partially restored spore germination with nutrient medium, with a mixture of ʟ-asparagine and KCl, or with a 1:1 chelate of Ca2+ and dipicolinic acid. While the amount of dipicolinic acid released was lower, the amount of hexosamine-containing material released during germination of SM101ΔsleC(sleCF4969) spores was similar to the amount released during germination of SM101 wild-type spores. The viability of SM101ΔsleC(sleCF4969) spores was 8- and 3-fold lower than that of SM101 and F4969 spores, respectively. Together, these data indicate that the peptidoglycan cortex hydrolysis machinery in the food poisoning isolate SM101 is functionally divergent than that in the non-food-borne isolate F4969.
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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) | 0.001 | 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".