A practical guide to using a kinetic model for improving the efficiency of C4 photosynthetic metabolism

Abstract C4 photosynthesis represents a precise integration of biochemical and morphological adaptations that enhance CO2 concentration around Rubisco, reducing energy losses from photorespiration and increasing efficiencies in light, nitrogen, and water use compared with C3 photosynthesis. This advancement has the potential to significantly boost crop yields, meeting the rising demands for food and energy. To conduct a quantitative analysis of the anatomical, cellular, and biochemical components critical to C4 photosynthesis, we developed a comprehensive systems model of NADP-malic enzyme subtype C4 photosynthesis. This model includes the C4 shuttle, Calvin–Benson cycle, starch and sucrose synthesis, CO2 leakage, photorespiration, and metabolite transport between the bundle sheath cells and mesophyll cells. The model effectively simulates CO2 uptake rates and metabolite dynamics under varying conditions, identifying potential bottlenecks in photosynthesis. Enhancements to the original model incorporated aspartate and alanine as transport acids and the phosphoenolpyruvate carboxykinase pathway, which allows the users to explore the impact of diverse decarboxylation mechanisms. This model serves as a valuable tool for dissecting the systems properties and biochemical foundations of C4 photosynthesis. Once well parameterized, it promises to be an instrumental resource in guiding future breeding and genetic engineering efforts aimed at optimizing C4 crop species. We have provided detailed instructions to facilitate its use.

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Publication Details

Journal
in silico Plants
Published
2025-01-01
DOI
https://doi.org/10.1093/insilicoplants/diaf010
Primary Topic
Photosynthetic Processes and Mechanisms
Type
article
Field-Weighted Citation Impact
0.00

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article

A practical guide to using a kinetic model for improving the efficiency of C4 photosynthetic metabolism

Xin‐Guang Zhu, Yu Wang
in silico Plants
Photosynthetic Processes and Mechanisms
article

A practical guide to using a kinetic model for improving the efficiency of C4 photosynthetic metabolism

Xin‐Guang Zhu, Yu Wang
article en

Abstract

Abstract C4 photosynthesis represents a precise integration of biochemical and morphological adaptations that enhance CO2 concentration around Rubisco, reducing energy losses from photorespiration and increasing efficiencies in light, nitrogen, and water use compared with C3 photosynthesis. This advancement has the potential to significantly boost crop yields, meeting the rising demands for food and energy. To conduct a quantitative analysis of the anatomical, cellular, and biochemical components critical to C4 photosynthesis, we developed a comprehensive systems model of NADP-malic enzyme subtype C4 photosynthesis. This model includes the C4 shuttle, Calvin–Benson cycle, starch and sucrose synthesis, CO2 leakage, photorespiration, and metabolite transport between the bundle sheath cells and mesophyll cells. The model effectively simulates CO2 uptake rates and metabolite dynamics under varying conditions, identifying potential bottlenecks in photosynthesis. Enhancements to the original model incorporated aspartate and alanine as transport acids and the phosphoenolpyruvate carboxykinase pathway, which allows the users to explore the impact of diverse decarboxylation mechanisms. This model serves as a valuable tool for dissecting the systems properties and biochemical foundations of C4 photosynthesis. Once well parameterized, it promises to be an instrumental resource in guiding future breeding and genetic engineering efforts aimed at optimizing C4 crop species. We have provided detailed instructions to facilitate its use.

in silico PlantsVol. 7(2)
University of Illinois Urbana-Champaign (US), Urbana University (US), Nanjing Xiaozhuang University (CN), Center for Excellence in Molecular Plant Sciences (CN), Nanjing University (CN)
National Science Foundation, National Natural Science Foundation of China, National Key Research and Development Program of China
Openalex Percentile: Top 83%
Photosynthetic Processes and Mechanisms
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