On the performance of C4 photosynthesis at low temperatures and its relationship to the ecology of C4 in cool climates
Bibliographic record
Abstract
The C4 pathway of photosynthesis occurs in fewer than 4% of plant species, but is often dominant in ecosystems that cover more than 35% of the earth's land area. C4 plants perform poorly under cool, non-freezing conditions, and these species are rare in cool climate habitats. This thesis examines hypotheses regarding the mechanistic basis for this feature of C4 plant ecology. C4 plants have been suggested to be more susceptible to photoinhibition at low temperatures than C3 species. Experiments with the high-latitude C4 grass Muhlenbergia glomerata and the co-occurring C3 species Calamogrostis canadensis indicate that there is no difference in the occurrence of photodamage between these cool-climate species. When grown at low temperatures the C4 plant increases its non-photosynthetic dissipation of light energy, and this dynamic photoinhibition is more detrimental to the carbon gain of M. glomerata than to the C3 species. A fundamental benefit of C4 photosynthesis is that high CO 2 assimilation rates are achieved with less Rubisco than in C3 plants. The in vitro capacity of Rubisco is equivalent to photosynthesis in M. glomerata below approximately 20°C, but exceeds photosynthesis above 5°C in C. canadensis. Using the C4 dicot Flaveria bidentis modified with an antisense construct to have reduced Rubisco (anti-RbcS), it is shown that the enzyme exerts nearly total control of C4 photosynthesis below 15°C, and that this control extends to approximately 25°C if the amount of the enzyme is reduced by 60%. The poor performance of C 4 photosynthesis at low temperatures is due to the lower amount of Rubisco in C4 versus C3 plants. This explanation is consistent with the need for increased photoprotection in response to low growth temperatures. Although their low Rubisco content impairs C4 photosynthesis at low temperatures, some C4 species are able to exploit cool climates. Contrary to expectations, Muhlenbergia glomerata is not restricted to the driest microsites in the fens of boreal Canada, where C4 photosynthesis should be most advantageous. This species is favoured only when flooding reduces the otherwise abundant C3 shrubs, indicating that factors affecting the ecology of cool-climate C4 plants are similar to those occurring in warm habitats.
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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) | 0.001 | 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".