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Procedure for Adaptive Laboratory Evolution of Microorganisms Using a Chemostat
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Systematic molecular evolution enables robust biomolecule discovery.

Erika A DeBenedictis1,2, Emma J Chory3,4,5,6, Dana W Gretton3

  • 1Media Laboratory, Massachusetts Institute of Technology, Cambridge, MA, USA. erika.alden@mit.edu.

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Summary
This summary is machine-generated.

We developed a robotic system for high-throughput biomolecular evolution, revealing that environmental changes and chance reproducibly alter evolutionary outcomes. This enhances protein engineering reliability and enables systematic analysis of evolutionary factors.

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Area of Science:

  • Biochemistry
  • Molecular Biology
  • Evolutionary Biology

Background:

  • Laboratory evolution is crucial for engineering proteins and RNA.
  • Experimental limitations hinder reproducible exploration of evolutionary factors like population diversity and environmental change timing.
  • Understanding these factors is key to advancing biomolecular engineering.

Purpose of the Study:

  • To develop a high-throughput system for comprehensive biomolecular evolution studies.
  • To investigate the impact of environmental change timing and chance on evolutionary trajectories.
  • To improve the reliability and systematic analysis of protein and RNA engineering.

Main Methods:

  • Developed a robotic system: phage- and robotics-assisted near-continuous evolution (PRANCE).
  • Implemented automated feedback control for real-time selection stringency adjustment.
  • Performed high-throughput phage-assisted continuous evolution on three distinct biomolecules.

Main Results:

  • Demonstrated that evolutionary outcomes are reproducibly altered by random chance.
  • Showed that the historical pattern of environmental changes significantly impacts evolution.
  • Validated the system's ability to explore evolutionary dynamics comprehensively.

Conclusions:

  • PRANCE system enhances the reliability of protein and RNA engineering.
  • Enables systematic analysis of historical, environmental, and random factors in biomolecular evolution.
  • Advances the understanding and application of directed evolution in biotechnology.