Macromolecular dynamics of the photosynthetic system over a seasonal developmental progression in <i>Spartina alterniflora</i>
Bibliographic record
Abstract
Spartina alterniflora Loisel. is a dominant primary producer in salt marsh intertidal zones along the Bay of Fundy of New Brunswick and Nova Scotia, Canada, where it has a 5-month growing season from May to September. We quantified key subunits of the S. alterniflora photosynthetic system (chlorophyll, PsbA, PsaC, AtpB, RbcL) over a seasonal developmental progression to determine resource allocations and estimate capacities for key subprocesses of photosynthesis catalyzed by light-harvesting antennae, photosystems I and II (PSI and PSII, respectively), ATP (adenosine triphosphate) synthase, and RuBisCO (ribulose bisphosphate carboxylase–oxygenase). Early in the season, all of the macromolecules peaked in concentration around day 159, but then declined as leaves elongated. Later in the season, just after flowering, chlorophyll b, PsbA, PsaC, and AtpB peaked again before declining at the end of the season. RbcL, however, did not exhibit a second late-season peak, but continually declined from the early-season peak. Estimates of metabolic flux per PSII and per RuBisCO were closely parallel until late in the season, indicating coordinated regulation of catalytic turnover per complex. Early in the season, carbon fixation per RuBisCO peaked near the expected turnover rate (kcat) for a C4 plant, but then declined. The effective absorbance cross sections of PSII varied seasonally, reflecting significant regulation of antenna performance across the season.
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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".