Evidence map›Paper›PMID 42290551›Full record

ReviewJournal of integrative plant biology2026

Harnessing natural variation for photosynthetic improvement in next-generation crop breeding.

Yupeng Zhou, Xia Li, Shaobo Wei, Soualihou Soualiou, Paul C Struik, Xinyou Yin, Wenbin Zhou

Erratum issuedAbstract readReview
In one paragraph

Review in Journal of integrative plant biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Yupeng ZhouState Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.ORCID https://orcid.org/0009-0009-2545-9305
Xia LiState Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.ORCID https://orcid.org/0000-0001-9933-6679
Shaobo WeiState Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.ORCID https://orcid.org/0000-0003-2593-1197
Soualihou SoualiouSchool of Biological, Earth & Environmental Sciences and Environmental Research Institute, University College Cork, Cork, T23 TK30, Ireland.ORCID https://orcid.org/0000-0001-6141-0394
Paul C StruikCentre for Crop Systems Analysis, Wageningen University & Research, Wageningen, 6700 AK, The Netherlands.ORCID https://orcid.org/0000-0003-2196-547X
Xinyou YinCentre for Crop Systems Analysis, Wageningen University & Research, Wageningen, 6700 AK, The Netherlands.ORCID https://orcid.org/0000-0001-8273-8022
Wenbin ZhouState Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.ORCID https://orcid.org/0000-0001-5911-1686

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Because agriculture is confronted with escalating climatic and resource challenges, next-generation breeding requires innovative strategies to sustain and enhance crop productivity. As the foundation of carbon fixation in plants, photosynthesis strongly affects crop yield potential. Therefore, improving photosynthetic performance remains a central goal for crop improvement. Plants show substantial natural genetic variation in photosynthetic traits, arising from heritable differences in physiology, including metabolism and regulation, which represent valuable genetic resources for crop breeding. Meanwhile, advances in synthetic biology and photosynthetic genetic engineering provide complementary avenues for enhancing photosynthetic capacity and productivity. In this review, we analyze and synthesize recent progress in research on (i) natural variation in photosynthetic traits across physiological, developmental, and canopy scales; (ii) molecular and genetic regulatory mechanisms underlying photosynthetic diversity and adaptations; (iii) links between photosynthetic efficiency, source-sink coordination, and yield formation; and (iv) emerging strategies for engineering photosynthesis. We also outline remaining challenges and future perspectives. Collectively, these insights provide a strategic framework for leveraging natural genetic diversity and modern biotechnologies to optimize photosynthesis, enhance yield potential, and improve crop resilience under future climate scenarios, further supporting global food security.

Indexed as

Crops, AgriculturalGenetic VariationPhotosynthesisPlant BreedingGenetic Engineeringcrop yield improvementgenetic regulationnatural variationphotosynthesisphotosynthetic efficiencyphotosynthetic engineering

Identifiers

PMID42290551
PMCPMC13446628

What Socratic holds

Textmetadata
Read underepoch 390

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 Socratic graph.