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Long-term evolution of proliferating cells using the eVOLVER platform.

Daniel García-Ruano1,2, Akanksha Jain1,2, Zachary J Heins3

  • 1Institute of Genetics and Development of Rennes, CNRS UMR 6290 - University of Rennes 1, Rennes, France.

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|July 26, 2023
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Summary
This summary is machine-generated.

This study enhances the eVOLVER system for long-term experimental evolution. The upgraded framework offers a versatile and automated platform for studying evolutionary processes in unicellular organisms.

Keywords:
adaptationeVOLVERexperimental evolutionturbidostatyeast

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Area of Science:

  • Evolutionary biology
  • Microbiology
  • Systems biology

Background:

  • Experimental evolution with unicellular organisms reveals evolutionary principles and biological functions.
  • Automated systems like eVOLVER facilitate multiplexed experimental evolution.
  • Previous eVOLVER limitations included difficulties in long-term parallel culture maintenance and lack of specific tools.

Purpose of the Study:

  • To significantly upgrade the eVOLVER framework for enhanced long-term experimental evolution.
  • To address limitations in maintaining and comparing parallel evolving cultures.
  • To provide a more versatile and automated platform for laboratory evolution assays.

Main Methods:

  • Major modifications to experimental methodology, hardware, and software of the eVOLVER system.
  • Development of a new stand-alone protocol for improved usability.
  • Implementation of a closed-loop system for fully automated laboratory evolution.

Main Results:

  • The upgraded eVOLVER framework enables robust, long-term maintenance and comparison of parallel evolving cultures.
  • Enhanced automation and control over experimental conditions.
  • Improved versatility and reduced user intervention for extended assays.

Conclusions:

  • The enhanced eVOLVER system is a powerful and unparalleled setup for long-term experimental evolution studies.
  • The modifications provide greater reliability and efficiency in evolutionary experiments.
  • Facilitates deeper insights into evolutionary mechanisms and biological system architectures.