What does this research mean for the field?

Engineering Rubisco and its chaperones to improve plant photosynthesis is feasible and expected to accelerate due to recent technological breakthroughs in genome editing, protein assembly, and structure prediction, despite many past efforts failing to increase crop yield. Novelty: ClaimNovelty.SYNTHESIS. Consensus alignment: ConsensusAlignment.NEUTRAL.

What question did this study set out to answer?

To review genetic engineering approaches aimed at improving the catalytic efficiency of Rubisco and its associated chaperones to enhance plant photosynthesis and crop yield.

August 30, 2026Plant BiotechnologyOpen Access

Improving plant photosynthesis by modifying Rubisco and its chaperones

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Authors

ZZZhe Zhang YSYukina Sanga INIssei Nakazato

Discussion

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Overview

Review reveals strategies for engineering Rubisco and molecular chaperones in plants, highlighting pathways to boost photosynthetic efficiency and crop yield.

Key Points

To review genetic engineering approaches aimed at improving the catalytic efficiency of Rubisco and its associated chaperones to enhance plant photosynthesis and crop yield.
Synthesized evidence across direct engineering approaches, including point mutations and overexpression of Rubisco large (RbcL) and small (RbcS) subunits, as well as expression of nonnative enzymes.
Evaluated indirect interventions, such as engineering carbon-concentrating mechanisms and manipulating chaperones required for Rubisco assembly and activation.
Assessed emerging enabling technologies, including chloroplast genome editing, bacterial expression systems, and neural network-based protein structure prediction models.
Most historical attempts to genetically engineer Rubisco failed to translate into improved plant growth and agricultural yield.
Select proof-of-concept interventions demonstrate the feasibility of modifying Rubisco and its regulatory environment to overcome its low catalytic rate and low substrate specificity for carbon dioxide over oxygen.
Advancements in plastid genome transformation, heterologous bacterial assembly, and artificial intelligence-driven structural modeling provide viable technical routes to accelerate Rubisco optimization.

Cite This Study

Zhang et al. (2026) studied this question.

synapsesocial.com/papers/6a93f02f6c1a8fb52e79c2bc https://doi.org/10.5511/plantbiotechnology.26.0313a

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August 30, 2026Plant BiotechnologyOpen Access

Improving plant photosynthesis by modifying Rubisco and its chaperones

View Full Paper

Ask AI

Bookmark

Authors

ZZZhe Zhang YSYukina Sanga INIssei Nakazato

Discussion

Member takes

Overview

Review reveals strategies for engineering Rubisco and molecular chaperones in plants, highlighting pathways to boost photosynthetic efficiency and crop yield.

Key Points

To review genetic engineering approaches aimed at improving the catalytic efficiency of Rubisco and its associated chaperones to enhance plant photosynthesis and crop yield.
Synthesized evidence across direct engineering approaches, including point mutations and overexpression of Rubisco large (RbcL) and small (RbcS) subunits, as well as expression of nonnative enzymes.
Evaluated indirect interventions, such as engineering carbon-concentrating mechanisms and manipulating chaperones required for Rubisco assembly and activation.
Assessed emerging enabling technologies, including chloroplast genome editing, bacterial expression systems, and neural network-based protein structure prediction models.
Most historical attempts to genetically engineer Rubisco failed to translate into improved plant growth and agricultural yield.
Select proof-of-concept interventions demonstrate the feasibility of modifying Rubisco and its regulatory environment to overcome its low catalytic rate and low substrate specificity for carbon dioxide over oxygen.
Advancements in plastid genome transformation, heterologous bacterial assembly, and artificial intelligence-driven structural modeling provide viable technical routes to accelerate Rubisco optimization.

Cite This Study

Zhang et al. (2026) studied this question.

synapsesocial.com/papers/6a93f02f6c1a8fb52e79c2bc https://doi.org/10.5511/plantbiotechnology.26.0313a

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