Dynamical model-guided SynCom design for sustainable agriculture.

Dynamical models integrating multi-omics data enable scalable design of stable plant microbial communities for sustainable agriculture.

• Why it matters: Addressing the challenge of translating conceptual microbial community research into practical, scalable agricultural solutions is crucial for environmental sustainability and crop productivity.
• What they did: The authors review advances in system-level design of SynComs, combining generalized Lotka-Volterra and consumer-resource models with multi-omics data to identify stable communities and elucidate plant-microbe-soil interactions.
• The result: This model-driven approach facilitates the development of robust, scalable SynComs, paving the way for their large-scale application and improved sustainability in agricultural practices.