CspB and CspC are induced upon cold shock in <i>Bacillus cereus</i> strain D2
Bibliographic record
Abstract
Bacillus cereus D2, a psychrotrophic strain, plays an essential role in the restoration of heavy metal-contaminated soils, especially at low temperatures. However, the cold shock response mechanisms of this strain are unclear. In this study, the cold shock response of B. cereus D2 was characterized; as per the Arrhenius curve, 10 °C was chosen as the cold shock temperature. Six cold shock-like proteins were found and temporarily named cold shock protein (Csp)1–6; the respective genes were cloned and identified. Quantitative real-time PCR results showed that csp1, csp2, csp3, and csp6 were overexpressed under cold shock conditions. Interestingly, after cloning the respective encoding genes into the pET-28a (+) vector and their subsequent transformation into E. coli BL21 (DE3), the strains expressing Csp2 and Csp6 grew faster at 10 °C, showing a large number of bacteria. These results suggest that Csp2 and Csp6 are the major cold shock proteins in B. cereus D2. Of note, the comparison of amino acid sequences and structures showed that Csp2 and Csp6 belong to the CspB and CspC families, respectively. Additionally, we show that the number of hydrophobic residues is not a determining feature of major Csps, while, on the other hand, the formation of an α-helix in the context of a leucine residue is the most dominant difference between major and other Bacillus and E. coli Csps.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".