ReviewNature biotechnology2025
Unlocking gene regulatory networks for crop resilience and sustainable agriculture.
Review in Nature biotechnology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 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
12 citing papers in PubMed.
- Artificial Intelligence for Plant Gene Regulatory Networks.International journal of molecular sciences · 2026Review
- Predicting transcriptional regulators in plants in the era of artificial intelligence.Current opinion in plant biology · 2026Review
- Review
- Artificial intelligence-driven advancements in agricultural biotechnology.Journal, genetic engineering & biotechnology · 2026Review
- Single-cell insights into plant growth, adaptation, and evolution.Journal of integrative plant biology · 2026Review
- Adaptive Responses of Tropical Crops: A Multi-Scale Omics Integrated Perspective.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Review
- Working with the grain: uncovering sorghum quality regulatory networks.Journal of experimental botany · 2026Article
- Back to the future 2: the implications of germplasm structure on the balance between short- and long-term genetic gain in a changing target population of environments.G3 (Bethesda, Md.) · 2026Article
- Mapping Sweet Potato Global Research for Sustainable Food Systems: A Bibliometric Perspective.Foods (Basel, Switzerland) · 2026Article
- Micro- and nanoplastics-induced stress in plants: uptake, physiological disruption, and toxicity mechanisms.Frontiers in plant science · 2026Review
- Review
- Evolutionary and functional diversification of the DOG gene family in wheat (Triticum aestivum L.) and their roles in seed dormancy.BMC genomics · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
Understanding the complex mechanisms of gene regulatory networks (GRNs) has emerged as a transformative approach in agricultural research. By deciphering the regulatory mechanisms underlying key traits, GRN studies offer opportunities to enhance crop resilience to environmental challenges, improve yield and ensure sustainable food production. In this Review, we highlight the importance of GRN research in agriculture and explore how cutting-edge biotechnology, interdisciplinary approaches and computational modeling techniques are addressing the challenges in the field. We discuss how integrating diverse datasets at different resolutions empowers us to unravel the complex genetic networks governing crop responses to climate change, pests and diseases. By harnessing the power of GRNs, we have the potential to transform crop improvement strategies, develop stress-tolerant varieties and ensure global food security. We provide insights into the current opportunities and challenges of GRN research in agriculture, bridging the gap between scientific advancements and the pressing need for sustainable agricultural practices.
Indexed as
Identifiers
40604325What 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.