Regulation of carbon metabolism in <i>Chlamydia trachomatis</i>
Bibliographic record
Abstract
The biological significance of glycogen accumulation and how the process is regulated in Chlamydia trachomatis remains poorly defined. C. trachomatis-infected HeLa cells were cultured in medium containing various glucose concentrations (0, 0.1, 1 or 10 mg ml-1) or in the presence of gluconeogenic carbon sources (20 mM glutamate, 20 mM malate, 20 mM alpha-ketoglutarate or 20 mM oxaloacetate), and the effects of these different culture conditions on the production of infectious chlamydial elementary bodies and glycogen accumulation were monitored. When chlamydiae were cultured in glucose concentrations greater than 1 mg ml-1, optimal growth and maximal glycogen accumulation occurred. In contrast to uninfected HeLa cells, which increased their glycogen stores when grown in the presence of high glucose concentrations, chlamydial glycogen accumulation remained essentially constant. When cultured in medium supplemented with either reduced glucose concentrations or any of the gluconeogenic carbon sources, chlamydiae still grew; however, the yield of elementary bodies was substantially decreased, and there was no significant amount of glycogen accumulated by host HeLa cells or C. trachomatis. This suggests that glycogen accumulation may not be essential for chlamydial survival. Reverse transcriptase-polymerase chain reaction (RT-PCR) results indicated that, despite the fact that the source and amount of carbon available in the medium affected chlamydial glycogen accumulation, the expression of genes required for glycogen metabolism was not significantly changed. Similarly, the expression of several genes encoding key enzymes of central metabolism was not affected by alterations in carbon source or availability. Taken together, the data suggest that, unlike most free-living bacteria, chlamydia are unable to alter the expression of genes involved in carbon metabolism in response to changes in environmental conditions.
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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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".