It is argued that CRE function is not only an intrinsic property of DNA sequence alone but also emerges from a multidimensional context, including chromatin accessibility, histone modifications, three-dimensional genome topology, and cell type-specific regulatory landscapes, which promises to transform the ability to reprogram plant gene regulation for next-generation agriculture.
Abstract
Cis-regulatory elements (CREs) orchestrate the spatiotemporal precision of gene expression that underlies plant development, adaptation, and domestication. Decoding the cis-regulatory grammar of plant genomes remains a central challenge in modern biology, with profound implications for programmable crop engineering. Here, recent conceptual and technological advances are synthesized to reshape our understanding of plant CREs. This review first argues that CRE function is not only an intrinsic property of DNA sequence alone but also emerges from a multidimensional context, including chromatin accessibility, histone modifications, three-dimensional genome topology, and cell type-specific regulatory landscapes. Furthermore, the convergence of single-cell epigenomics, high-throughput functional assays, and CRISPR-based dissection has begun to unravel this contextual grammar, revealing the computational principles governing transcriptional regulation. Critically, we propose that artificial intelligence (AI) platforms are catalyzing an ongoing transition from descriptive discovery to predictive engineering, wherein these platforms outperform natural evolution in designing synthetic CREs. Finally, a roadmap is outlined toward a plant regulatory grammar foundation model, which will enable truly predictive engineering of gene expression when fine-tuned for specific tasks. Collectively, the integration of single-cell resolution maps, precise genome editing, AI-driven design, and regulatory-compliant delivery systems promises to transform our ability to reprogram plant gene regulation for next-generation agriculture, bridging the gap between foundational regulatory biology and tangible crop improvement.
An integrated perspective on the evolution of biological parts across DNA-, RNA-, and protein-level regulation is provided, connecting these advances with assembly frameworks, biofoundries, and machine learning to trace the trajectory from part-centric engineering toward predictive, system-level design in yeast synthet...
This review compares convolutional, Transformer-based and graph architectures used to represent local sequence features, chromatin state and three-dimensional genome organisation to their applications to transcription-factor binding, chromatin accessibility, gene expression, non-coding variant prioritisation and regula...
Recent discoveries of non-CRISPR RNA-guided nucleases have expanded the landscape of programmable genome editing beyond canonical Cas systems. Among these, TnpB proteins derived from IS200/IS605-family transposable elements are ultra-compact RNA-guided DNA endonucleases with potential for delivery-constrained genome en...
Bin Ma, Yi-Miao Li, Dong-Sheng Zhang et al.· Frontiers in Genome Editing· 0 citations
This review discusses major mechanisms that destabilize transgene expression, including structural rearrangement, transcriptional and post-transcriptional gene silencing, inefficient 3’-end processing, transcriptional interference, combinatorial part effects, and metabolic burden, and describes part-level and architect...
The Vertebrate Regulatory MOdule Detector (VRMOD) provides a universal coordinate reference system for regulatory sequences across 309 vertebrate genomes and enables genome-wide annotation of non-coding regulatory elements in any vertebrate species using genomic sequence alone.
Tássia Mangetti Gonçalves, Casey L. Stewart, Samantha D. Baxley et al.· NAR Genomics and Bioinformat...· 0 citations
Many epigenetic regulators play essential roles in animal development, but precisely how they function across different cell types without clear sequence preferences remains a foundational challenge. Here, we employed single-cell RNA sequencing to survey the mutant phenotypes of 30 essential regulatory pathways across...
Yusuke Kijima, JoAnne Villagrana, Min-Ming Wang et al.· bioRxiv· 0 citations
Related blog posts
Microsoft Research Blog· microsoft.comOct 29, 2026
Host Sowbhagya Suresh shares some of the latest news and cutting-edge research from across Microsoft—from understanding the challenges facing coding agents to uncovering how people use AI at work and improving extended-range weather forecasting. The post Microsoft Research Focus – Edition #97 appeared first on Microsoft Research.