Evidence map›Paper›PMID 41812263›Full record

ReviewThe Plant journal : for cell and molecular biology2026

Plant structural biology: Emerging technologies and future biological insights.

Jonas M Böhm, Veronica G Maurino

Abstract readReview
In one paragraph

Review in The Plant journal : for cell and molecular biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Jonas M BöhmMolecular Plant Physiology, Institute for Cellular and Molecular Botany (IZMB), University of Bonn, Kirschallee 1, 53115, Bonn, Germany.ORCID 0009-0008-6498-5802
Veronica G MaurinoMolecular Plant Physiology, Institute for Cellular and Molecular Botany (IZMB), University of Bonn, Kirschallee 1, 53115, Bonn, Germany.ORCID 0000-0002-3124-1451

Funding

Deutsche Forschungsgemeinschaft MA2379/20-1 (project number 441941117)Deutsche Forschungsgemeinschaft MA2379/22-1 (project number 528182088)
6 · The paper itself

Abstract

Plant structural biology is entering a new era. Advances in cryo-electron microscopy, tomography, and AI-based prediction are making it possible to study plant macromolecular machines at near-atomic resolution, including complexes that long resisted analysis by traditional approaches. Yet, despite these developments, plant proteins remain underrepresented in structural databases, reflecting persistent challenges in sample preparation, in situ imaging, and capturing dynamics. At the same time, plants present unique opportunities for structural biology, from the photosynthetic apparatus and cellulose synthase rosettes to receptor-like kinases, resistosomes, and plastid protein import machinery. Understanding these systems requires not only technical innovation but also conceptual shifts toward structural landscapes that capture molecular heterogeneity across time, space, and environmental conditions. Here, we outline the main frontiers for the field: improving sample preparation pipelines, advancing in situ and time-resolved methods, integrating structural biology with omics, and harnessing computational modeling. We highlight biological questions where structural insights are most urgently needed, including photosynthesis, hormone signaling, cell wall synthesis, organelle biology, and immunity. We argue that investment in infrastructure, training, and collaborative networks is essential if plant structural biology is to realize its potential. By revealing the molecular logic of the green world, the field can contribute solutions to urgent challenges in agriculture, sustainability, and climate resilience.

Indexed as

Plant ProteinsPlantsCryoelectron MicroscopyPhotosynthesisPlant ProteinsAI‐based structure predictioncryo‐electron microscopyemerging technologiesplant structural biologystructural modelling

Identifiers

PMID41812263
PMCPMC12978822

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.