Evidence map›Paper›PMID 41003756›Full record

ReviewMolecular biology reports2025

Strategies to improve photosynthesis by modifying the RuBisCO system and its limitations.

Raghunandhan Namachivayam, Guru Prasad Manickam, Kokiladevi Eswaran, Arul Loganathan, Krish K Kumar, Varanavasiappan Shanmugam

Abstract readReview
PubMed Publisher
In one paragraph

Review in Molecular biology reports, 2025. 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

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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Article
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

6 authors.

Raghunandhan NamachivayamDepartment of Plant Biotechnology, Centre for Plant Molecular Biology & Biotechnology, Tamil Nadu Agricultural University, Coimbatore, Tamil Nadu, 641003, India.
Guru Prasad ManickamDepartment of Plant Biotechnology, Centre for Plant Molecular Biology & Biotechnology, Tamil Nadu Agricultural University, Coimbatore, Tamil Nadu, 641003, India.
Kokiladevi EswaranDepartment of Plant Biotechnology, Centre for Plant Molecular Biology & Biotechnology, Tamil Nadu Agricultural University, Coimbatore, Tamil Nadu, 641003, India.
Arul LoganathanDepartment of Plant Biotechnology, Centre for Plant Molecular Biology & Biotechnology, Tamil Nadu Agricultural University, Coimbatore, Tamil Nadu, 641003, India.
Krish K KumarDepartment of Plant Biotechnology, Centre for Plant Molecular Biology & Biotechnology, Tamil Nadu Agricultural University, Coimbatore, Tamil Nadu, 641003, India.
Varanavasiappan ShanmugamDepartment of Plant Biotechnology, Centre for Plant Molecular Biology & Biotechnology, Tamil Nadu Agricultural University, Coimbatore, Tamil Nadu, 641003, India. varanavasiappan.s@tnau.ac.in.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

RuBisCO (Ribulose-1,5-bisphosphate carboxylase/oxygenase) is the primary enzyme responsible for carbon fixation in the Calvin-Benson-Bassham cycle, yet it remains one of the most inefficient enzymes in nature. Its slow catalytic rate, low specificity for CO₂ over O₂, and susceptibility to inhibition and heat stress limit photosynthetic efficiency and crop productivity, particularly under fluctuating environmental conditions. This review highlights current strategies to enhance RuBisCO performance. These include direct mutagenesis, ancestral protein reconstruction, and the incorporation of chimeric or heterologous RuBisCO subunits to improve kinetics and stability. Enhancing the expression of native or foreign RuBisCO subunits, as well as engineering thermostable RuBisCO activase, further supports improved photosynthetic capacity. Additionally, the integration of carbon-concentrating mechanisms such as cyanobacterial carboxysomes and algal pyrenoids offers promising avenues to increase CO₂ availability around RuBisCO. Emerging synthetic biology approaches, including artificial carbon fixation pathways, aim to bypass the limitations of natural photosynthesis altogether. We have also discussed the limitations of each method. Complementing these advances, artificial intelligence and machine learning are being increasingly used to predict beneficial mutations, model enzyme behaviour, and guide protein engineering. Together, these multidisciplinary strategies hold great potential to optimize RuBisCO, improve crop yields, and enhance resilience in a changing climate.

Indexed as

PhotosynthesisRibulose-Bisphosphate CarboxylaseCarbon CycleCarbon DioxideProtein EngineeringCarbon DioxideRibulose-Bisphosphate CarboxylasePhotosynthetic enhancementRuBisCO engineeringRuBisCO optimization

Identifiers

What OpenQuestion holds

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Registered trials

None linked

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.