ReviewNature genetics2026
The potential of wheat spatial omics.
Review in Nature genetics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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
2 citing papers in PubMed.
- Cell-based crop phenotyping for future climates.The New phytologist · 2026Review
- Seed function in space and time: how spatial transcriptomics completes the picture.Frontiers in plant science · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
94 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Wheat is a major staple crop for over one-third of the world's population, crucial for global food security, economic stability and cultural traditions. Recently, single-cell and spatial omics approaches have transformed biological discovery, primarily in medical and animal sciences, and they are now beginning to be applied in plant research. Here we summarize the technical innovations and feasibility of spatial omics applications in wheat research, particularly for understanding developmental and environmental responses, thereby potentially enhancing wheat breeding. We highlight how these tools can reveal spatial and temporal patterns in gene expression, cellular heterogeneity and tissue organization in wheat. Furthermore, we propose developing a spatially resolved single-cell atlas of wheat across its life cycle to facilitate breakthroughs in basic research and potential applications in breeding. To achieve these goals, we advocate for a Wheat Spatial Omics Consortium to foster worldwide collaboration for overcoming barriers and developing sustainable and climate-resilient wheat.
Indexed as
Identifiers
41922865What OpenQuestion 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 OpenQuestion graph.