Wujun Jin ^1,2

1 Biotechnology Research Institute, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
2 National Nanfan Research Institute (Sanya), Chinese Academy of Agricultural Sciences, Sanya, 572025, Hainan, China
Author    Correspondence author
GMO Biosafety Research, 2024, Vol. 15, No. 2   
Received: 17 Feb., 2024    Accepted: 29 Mar., 2024    Published: 06 Apr., 2024

This is an open access article published under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

This study explores the development of a regulatory framework for the safe integration of SynComs in agriculture by drawing lessons from global practices. Key findings indicate that the design and application of SynComs should be informed by a deep understanding of plant-microbe interactions, microbial ecology, and the specific traits of beneficial microbes. Computational tools, including machine learning, play a crucial role in optimizing SynCom compositions for desired plant phenotypes. Case studies highlight the importance of reproducibility, stability, and the ecological impact of SynComs. By synthesizing insights from various research efforts, this study provides a roadmap for developing a regulatory framework that ensures the safe and effective use of SynComs in agriculture, leveraging global practices and cutting-edge research to address current challenges and opportunities.

Synthetic microbial communities (SynComs); Safe integration; Regulatory framework; Agriculture; Global practices