ReviewJournal of experimental botany2026
Advances in seed omics.
Review in Journal of experimental botany, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 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
7 citing papers in PubMed.
- The incredible vulnerability that reproduction poses for plant species in a warming world.The New phytologist · 2026Review
- Developing physical seed priming as a practical tool for stress-resilient crop production.Essays in biochemistry · 2026Review
- Cracking the Hard Seed: Molecular Mechanisms and Multi-Omics Insights into Seed Dormancy and Germination in the GenusInternational journal of molecular sciences · 2026Review
- Germination as a Strategy to Enhance the Bioactivity of Whole Grains: Phytochemical Remodeling and Health Implications.Comprehensive reviews in food science and food safety · 2026Review
- A four-dimensional spatial transcriptome atlas of barley caryopsis development and germination.The Plant cell · 2026Article
- Metabolome and transcriptome profiling reveals distinct regulatory networks underlying high-protein and high-oil traits in soybean cultivars Wandou 28 and Zhongdou 63.BMC plant biology · 2026Article
- Seed biology: the birth of plant life.Journal of experimental botany · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Seeds provide 70% of the global food supply, making them crucial for food security. Understanding the molecular mechanisms governing seed development, dormancy, and germination has become increasingly urgent as climate change impacts crop productivity. Over the past 3 years, omics technologies have transformed our understanding of seed biology through comprehensive molecular profiling at unprecedented resolution. This review synthesizes recent advances in seed biology enabled by cutting-edge omics applications in Arabidopsis and crops. We examine how the integration of epigenomics, genomics, transcriptomics, proteomics, and metabolomics analysis has enabled reconstruction of the complex regulatory networks controlling seed development, dormancy, and germination. The recent emergence of single-cell and spatial technologies has been revolutionary, uncovering previously unknown cell types and tissue-specific regulatory mechanisms. Key discoveries include the identification of critical phosphorylation networks, metabolic transitions, and hormone signalling activity in seeds. Advanced genomic approaches have provided insights into crop domestication and trait control, while proteomics and metabolomics have been used to characterize essential regulatory modules controlling dormancy release and germination. These findings provide valuable molecular frameworks for developing climate-resilient crops and enhanced seed vigour through targeted genetic improvements, as well as optimized agricultural practices for ensuring global food security.
Indexed as
Identifiers
What 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.