ReviewPlanta2026
Rubisco limits plant breeding: can biodiversity unlock it?
Review in Planta, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
MAIN
conclusionPhotosynthesis has been underestimated as a breeding target. A workflow that identifies or engineers superior Rubisco variants and introduces them into crops is urgently needed. Photosynthesis is the foundation of life on Earth, yet it remains inefficient in crop plants. At the heart of this lies Rubisco, the most abundant enzyme on Earth and the primary bottleneck in carbon fixation. Despite its central role in determining photosynthetic capacity and crop yield, efforts to improve it have been constrained by three persistent blind spots: an overreliance on model species, inadequate screening platforms, and the challenge of chloroplast transformation. This perspective argues that closing these gaps requires an integrated framework connecting structural biology, natural biodiversity, and synthetic approaches. Molecular dynamics simulations informed by high-resolution crystal structures offer a powerful entry point for identifying residues with the greatest predicted impact on CO
Indexed as
Identifiers
42530665What Socratic holds
Registered trials
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.