（1）Synthetic microbial communities (SynComs) are emerging as promising alternatives to single-strain inoculants in agriculture, offering greater functional robustness and environmental adaptability. 合成微生物群落正逐渐成为农业中单菌株接种剂的有前景的替代品，它们提供了更强的功能稳健性和环境适应性。

（2）However, transforming conceptual studies into engineerable and scalable agricultural practices remains challenging.然而，将概念性研究转化为可工程化、可扩展的农业实践仍然具有挑战性。

Dynamical model-guided SynCom design for sustainable agriculture 面向可持续农业的动态模型指导的SynCom设计

摘要

（1）Synthetic microbial communities (SynComs) are emerging as promising alternatives to single-strain inoculants in agriculture, offering greater functional robustness and environmental adaptability. 合成微生物群落正逐渐成为农业中单菌株接种剂的有前景的替代品，它们提供了更强的功能稳健性和环境适应性。

（2）However, transforming conceptual studies into engineerable and scalable agricultural practices remains challenging.然而，将概念性研究转化为可工程化、可扩展的农业实践仍然具有挑战性。

（3）In this opinion article, we synthesize current research on plant SynComs through a framework that moves from strain-centered assembly toward system-level design, linking the identification of truly stable coexisting communities in natural microbiomes to the elucidation of plant–microbe–soil interaction mechanisms, the development of dynamical models, and the integration of these models into platform-based design and production pipelines.在本篇观点文章中，我们通过一个从菌株为中心的组装转向系统级设计的框架，整合了当前关于植物合成微生物群落的研究，将自然微生物组中真正稳定共存群落的识别与阐明植物-微生物-土壤相互作用机制、开发动力学模型以及将这些模型整合到基于平台的设计和生产流程中联系起来。

（4）We focus on recent advances that integrate generalized Lotka–Volterra and consumer-resource models with multi-omics data and other system-level constraints, with the aim of introducing model-driven concepts of SynCom design and promoting their large-scale application in agriculture.我们重点关注将广义Lotka-Volterra模型和消费者-资源模型与多组学数据及其他系统级约束相结合的最新进展，旨在引入模型驱动的合成微生物群落设计概念，并促进其在农业中的大规模应用。

整个框架分为三大模块：A. 稳定共存群落的识别、B. 动力学建模与SynCom设计、C. 农业应用平台支撑。

通过一个从菌株为中心的组装转向系统级设计的框架，整合了当前关于植物合成微生物群落的研究，将自然微生物组中真正稳定共存群落的识别与阐明植物-微生物-土壤相互作用机制、开发动力学模型以及将这些模型整合到基于平台的设计和生产流程中联系起来。