Regulation of the expression of photorespiratory genes in<i>Chlamydomonas reinhardtii</i>
Bibliographic record
Abstract
The regulation of the photorespiratory pathway in Chlamydomonas reinhardtii Dangeard during a shift from high- to low-CO2conditions was investigated. To this end, a set of C. reinhardtii cDNA sequences for known photorespiratory enzymes was assembled using the Chlamydomonas expressed sequence tag database and primary sequencing data. Expression data indicates that there is a rapid and coordinated induction of photorespiratory and CCM gene expression during a time course switch from high-CO2conditions (5% (v/v)) to low-CO2conditions (0.038% (v/v)). While the expression of photorespiratory and CCM genes are coordinated during the initial change in CO2level, the response of these two sets of genes to the CO2level is not identical. Unlike the sustained high levels of CCM mRNAs seen under low CO2conditions, photorespiratory mRNAs show a transient increase in abundance in time course experiments. In addition, the expression of these photorespiratory genes is reduced in cia5, a C. reinhardtii strain that lacks a transcription factor required for the induction of genes involved in the CO2-concentrating mechanism. From these observations, there appears to be coordination in the expression of the genes involved in the delivery of CO2to Rubisco and the genes involved in the metabolism of the photorespiratory products that form when the CO2level is low.Key words: Chlamydomonas reinhardtii, photorespiratory genes, gene expression, CO2-concentrating mechanism.
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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".