Leong Richalynn, He Xin, Beijen Bob Sebastiaan, Sakai Toshiyuki, Goncalves Jorge, Ding Pingtao
Institute of Biology Leiden, Leiden University, Leiden, the Netherlands.
Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Esch-sur-Alzette, Luxembourg.
Nat Biotechnol. 2025 Jul 2. doi: 10.1038/s41587-025-02727-4.
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.
理解基因调控网络(GRNs)的复杂机制已成为农业研究中的一种变革性方法。通过破译关键性状背后的调控机制,基因调控网络研究为增强作物对环境挑战的适应能力、提高产量和确保可持续粮食生产提供了机会。在本综述中,我们强调了基因调控网络研究在农业中的重要性,并探讨了前沿生物技术、跨学科方法和计算建模技术如何应对该领域的挑战。我们讨论了如何整合不同分辨率的多样化数据集,使我们能够解开控制作物对气候变化、病虫害反应的复杂遗传网络。通过利用基因调控网络的力量,我们有潜力改变作物改良策略,培育耐逆品种,并确保全球粮食安全。我们深入探讨了当前农业基因调控网络研究的机遇和挑战,弥合了科学进步与可持续农业实践迫切需求之间的差距。