Adaptive responses of <i>Bacillus cereus </i><scp>ATCC</scp>14579 cells upon exposure to acid conditions involve <scp>ATP</scp>ase activity to maintain their internal <scp>pH</scp>
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract This study examined the involvement of ATP ase activity in the acid tolerance response ( ATR ) of Bacillus cereus ATCC 14579 strain. In the current work, B. cereus cells were grown in anaerobic chemostat culture at external pH ( pH e ) 7.0 or 5.5 and at a growth rate of 0.2 h −1 . Population reduction and internal pH ( pH i ) after acid shock at pH 4.0 was examined either with or without ATP ase inhibitor N,N’ ‐dicyclohexylcarbodiimide ( DCCD ) and ionophores valinomycin and nigericin. Population reduction after acid shock at pH 4.0 was strongly limited in cells grown at pH 5.5 (acid‐adapted cells) compared with cells grown at pH 7.0 (unadapted cells), indicating that B. cereus cells grown at low pH e were able to induce a significant ATR and Exercise‐induced increase in ATP ase activity. However, DCCD and ionophores had a negative effect on the ability of B . cereus cells to survive and maintain their pH i during acid shock. When acid shock was achieved after DCCD treatment, pH i was markedly dropped in unadapted and acid‐adapted cells. The ATP ase activity was also significantly inhibited by DCCD and ionophores in acid‐adapted cells. Furthermore, transcriptional analysis revealed that atpB ( ATP beta chain) transcripts was increased in acid‐adapted cells compared to unadapted cells before and after acid shock. Our data demonstrate that B. cereus is able to induce an ATR during growth at low pH . These adaptations depend on the ATP ase activity induction and pH i homeostasis. Our data demonstrate that the ATP ase enzyme can be implicated in the cytoplasmic pH regulation and in acid tolerance of B. cereus acid‐adapted cells.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| 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 it