Evidence map›Paper›PMID 38857179›Full record

ArticlePlant physiology2024

Reaction-diffusion modeling provides insights into biophysical carbon-concentrating mechanisms in land plants.

Joshua A M Kaste, Berkley J Walker, Yair Shachar-Hill

Abstract read
In one paragraph

Article in Plant physiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

5 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Joshua A M KasteDepartment of Biochemistry and Molecular Biology, Michigan State University, 603 Wilson Rd, East Lansing, MI 48823, USA.ORCID 0000-0003-1942-0315
Berkley J WalkerDepartment of Plant Biology, Michigan State University, 612 Wilson Rd, East Lansing, MI 48824, USA.ORCID 0000-0001-5932-6468
Yair Shachar-HillDepartment of Plant Biology, Michigan State University, 612 Wilson Rd, East Lansing, MI 48824, USA.ORCID 0000-0001-8793-5084

Funding

Mechanistic Modeling of Cellular SystemsR24GM137787 · NIGMS · UNIVERSITY OF CONNECTICUT SCH OF MED/DNT · PI Pedro Mendes, Ion I. Moraru · 2020 to 2026
$8.9M
Plant Biotechnology for Health and SustainabilityT32GM110523 · NIGMS · MICHIGAN STATE UNIVERSITY · PI LAST, ROBERT LOUIS · 2014 to 2023
$2.2M
Basic energy Sciences DE- FG02-91ER20021NIGMS NIH HHS R24 GM137787NIGMS NIH HHS T32 GM110523NIH HHS R24 GM137787NSF Research Traineeship Program DGE-1828149U.S. Department of Energy DE-SC0018269
6 · The paper itself

Abstract

Carbon-concentrating mechanisms (CCMs) have evolved numerous times in photosynthetic organisms. They elevate the concentration of CO2 around the carbon-fixing enzyme rubisco, thereby increasing CO2 assimilatory flux and reducing photorespiration. Biophysical CCMs, like the pyrenoid-based CCM (PCCM) of Chlamydomonas reinhardtii or carboxysome systems of cyanobacteria, are common in aquatic photosynthetic microbes, but in land plants appear only among the hornworts. To predict the likely efficiency of biophysical CCMs in C3 plants, we used spatially resolved reaction-diffusion models to predict rubisco saturation and light use efficiency. We found that the energy efficiency of adding individual CCM components to a C3 land plant is highly dependent on the permeability of lipid membranes to CO2, with values in the range reported in the literature that are higher than those used in previous modeling studies resulting in low light use efficiency. Adding a complete PCCM into the leaf cells of a C3 land plant was predicted to boost net CO2 fixation, but at higher energetic costs than those incurred by photorespiratory losses without a CCM. Two notable exceptions were when substomatal CO2 levels are as low as those found in land plants that already use biochemical CCMs and when gas exchange is limited, such as with hornworts, making the use of a biophysical CCM necessary to achieve net positive CO2 fixation under atmospheric CO2 levels. This provides an explanation for the uniqueness of hornworts' CCM among land plants and the evolution of pyrenoids multiple times.

Indexed as

CarbonCarbon DioxideEmbryophytaModels, BiologicalPhotosynthesisChlamydomonas reinhardtiiDiffusionLightPlant LeavesRibulose-Bisphosphate CarboxylaseCarbonCarbon DioxideRibulose-Bisphosphate Carboxylase

Identifiers

PMID38857179
PMCPMC11444298

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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.