Evidence map›Paper›PMID 40245009›Full record

ArticlePloS one2025

A minimal biophysical model for the temperature dependence of CO2 fixation rates based on macromolecular rate theory.

Erica J Prentice, Margaret M Barbour, Vickery L Arcus

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Erica J PrenticeSchool of Science - Te Aka Mātuatua, University of Waikato, Hamilton, New Zealand.ORCID 0000-0001-7417-7296
Margaret M BarbourSchool of Science - Te Aka Mātuatua, University of Waikato, Hamilton, New Zealand.
Vickery L ArcusSchool of Science - Te Aka Mātuatua, University of Waikato, Hamilton, New Zealand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Accurately predicting how the global environment will change under continued CO2 and temperature increases is currently a critical issue. Predictions are dependent on global models that represent this complex system of natural and anthropogenic inputs, responses, and feedback loops. These models must include accurate descriptions of complex biological processes such as photosynthesis, which is currently responsible for the removal of 123 petagrams of atmospheric carbon annually. Here, we develop a simplified approach to model the effect of concurrent changes in temperature and CO2 concentrations on the rate of C3 carbon fixation. The model simplifies the temperature response of the CO2 fixation pathway into a three-parameter curve (as modelled by macromolecular rate theory, MMRT), which incorporates the limitations of RuBisCO kinetics, and CO2 and O2 solubility as simple system constraints. This framework fully accounts for the temperature and CO2 dependence of CO2 fixation rates in sweet potato (Ipomoea batatas) leaves with just three parameters, in combination with defined biophysical constraints.

Indexed as

Carbon CycleCarbon DioxideModels, BiologicalTemperatureKineticsPhotosynthesisPlant LeavesRibulose-Bisphosphate CarboxylaseCarbon DioxideRibulose-Bisphosphate Carboxylase

Identifiers

PMID40245009
PMCPMC12005547

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.