Model-guided design of defined microbial community reveals interactions underpinning plant growth and stress tolerance.
This work presents an interpretable model-guided framework that integrates plant phenotyping, microbial genomics, and machine learning to optimize DMC outcomes and identify microbial interactions relevant to plant performance that contribute to plant growth promotion and abiotic stress tolerance.