Glycine and alanine dehydrogenase activities are catalyzed by the same protein in<i>Mycobacterium smegmatis</i>: upregulation of both activities under microaerophilic adaptation
Bibliographic record
Abstract
Microaerophilic adaptation has been described as one of the in vitro dormancy models for tuberculosis. Studies on Mycobacterium tuberculosis adapted to low oxygen levels showed an enhancement of glycine dehydrogenase (deaminating) activity. We studied the physiology of the fast-growing, nonpathogenic strain of Mycobacterium smegmatis ATCC 607 under low oxygen by shifting the actively growing M. smegmatis cells to static microaerophilic growth conditions. This shifting of M. smegmatis culture resulted in a similar phenomenon as seen with M. tuberculosis, i.e., elevated glycine dehydrogenase activity. Further purification of glycine dehydrogenase from M. smegmatis demonstrated glyoxylate amination, but failed to demonstrate glycine deamination, even in the purified fraction. Moreover, the purified protein showed pyruvate amination as well as L-alanine deamination activities. By activity staining, the protein band positive for glyoxylate amination demonstrated only pyruvate amination in the presence of NAD. Absence of glycine deamination activity strongly suggested that alanine dehydrogenase of M. smegmatis was responsible for glyoxylate amination in the cell lysate. This was further confirmed by demonstrating the similar level of upregulation of both glyoxylate and pyruvate amination activities in the cell lysate of the adapted culture.
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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 | 0.000 |
| 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 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".