ReviewFrontiers in plant science2024
Recent advances in exploring transcriptional regulatory landscape of crops.
Review in Frontiers in plant science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- The Regulatory Army of Plant Defense: Transcription Factors in the War for Plant Immunity.International journal of molecular sciences · 2026Review
- Integrative machine learning and gene regulatory network analysis identifies novel genes for leafy head formation in Brassica rapa and B. oleracea.Molecular horticulture · 2026Article
- Application of deep learning in crop research: From genomics to phenomics.The plant genome · 2026Review
- Molecular biology of Pleurotus mushrooms: genomic resources, genetic manipulation, and regulation mechanisms.Antonie van Leeuwenhoek · 2026Review
- Mechanisms behindFrontiers in plant science · 2026Article
- From binding to networks: methods for identifying transcription factor targets in plant systems.Frontiers in plant science · 2026Review
- From development to yield: genetic and molecular regulation of agronomic traits in maize seeds.Frontiers in plant science · 2026Review
- Review
- Integrated multi-omics reveals flavonoid-dominated defense strategies in Coptis chinensis under Fusarium root rot infection.BMC plant biology · 2025Article
- Nutrients and Bioactive Compounds fromInternational journal of molecular sciences · 2025Review
- Identification of critical transition signal (CTS) to characterize regulated stochasticity during ABA-induced growth-to-defense transition.BMC plant biology · 2025Article
- Accelerating crop improvement via integration of transcriptome-based network biology and genome editing.Planta · 2025Review
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Crop breeding entails developing and selecting plant varieties with improved agronomic traits. Modern molecular techniques, such as genome editing, enable more efficient manipulation of plant phenotype by altering the expression of particular regulatory or functional genes. Hence, it is essential to thoroughly comprehend the transcriptional regulatory mechanisms that underpin these traits. In the multi-omics era, a large amount of omics data has been generated for diverse crop species, including genomics, epigenomics, transcriptomics, proteomics, and single-cell omics. The abundant data resources and the emergence of advanced computational tools offer unprecedented opportunities for obtaining a holistic view and profound understanding of the regulatory processes linked to desirable traits. This review focuses on integrated network approaches that utilize multi-omics data to investigate gene expression regulation. Various types of regulatory networks and their inference methods are discussed, focusing on recent advancements in crop plants. The integration of multi-omics data has been proven to be crucial for the construction of high-confidence regulatory networks. With the refinement of these methodologies, they will significantly enhance crop breeding efforts and contribute to global food security.
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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.