Species-specific influence of P<sub>i</sub>-status on inorganic carbon acquisition in microalgae (Chlorophyceae)
Bibliographic record
Abstract
Inorganic phosphorus (Pi) is often the primary limiting nutrient in freshwater ecosystems. Since Pi-limitation affects energy transduction, and inorganic carbon (Ci) acquisition can be energy demanding, Ci-acquisition strategies were compared in four species of green algae grown under Pi-replete and Pi-limited conditions predominantly at low and partly at high CO2. Although Pi-limitation was evident by the 10-fold higher cellular C:P ratio and enhanced phosphatase activity, it only decreased Ci-acquisition to a small extent. Nonetheless, the effects of Pi-limitation on both CO2 and [Formula: see text] acquisition were demonstrated. Decreased CO2 acquisition under conditions of Pi limitation was mainly visible in the maximum uptake rate (Vmax) and, for the neutrophile Scenedesmus vacuolatus, in the affinity for CO2 acquisition. Discrimination against 13C was higher under Pi-limited, high CO2 conditions, compared with Pi-replete, high CO2 conditions, in Chlamydomonas acidophila and S. vacuolatus. In the pH-drift experiments, [Formula: see text] acquisition was reduced in Pi-limited C. reinhardtii. In general, energy demanding bicarbonate uptake was indicated by the less strong discrimination against 13C under low CO2 conditions in the neutrophiles ([Formula: see text] users), separating them from the acidophilic or acidotolerant species (CO2 users). The high variability of the influence of Pi supply among different green algal species is linked to their species-specific Ci-acquisition strategies.
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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 | 0.001 |
| 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".