Advanced strategies and tools to facilitate and streamline microbial adaptive laboratory evolution

Area of Science:

• Microbial Engineering
• Synthetic Biology
• Evolutionary Biology

Background:

• Adaptive laboratory evolution (ALE) is a long-standing method for microbial engineering.
• Recent years have seen significant advancements across the entire ALE workflow.

Purpose of the Study:

• To provide a comprehensive review of recent advances in ALE.
• To highlight key applications and discuss future directions in ALE.
• To serve as a practical guide for implementing ALE experiments.

Main Methods:

• Improvements in growth-coupling strategies for broader trait selection.
• Utilization of in vivo mutagenesis and automated culture platforms for streamlined execution.
• Application of multi-omics analyses and multiplexed genetic engineering for efficient knowledge extraction.

Main Results:

• Enhanced growth-coupling strategies enable ALE for a wider array of desirable microbial traits.
• Streamlined ALE execution through in vivo mutagenesis and automated platforms.
• Efficient knowledge mining facilitated by multi-omics and multiplexed genetic engineering.

Conclusions:

• Recent innovations have significantly enhanced the efficiency and scope of ALE.
• The integration of advanced techniques offers powerful tools for microbial trait development.
• Future improvements will further optimize ALE for novel and effective microbial engineering applications.