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Long-term evolution of proliferating cells using the eVOLVER platform
Experimental evolution using fast-growing unicellular organisms is a unique strategy for deciphering the principles and mechanisms underlying evolutionary processes as well as the architecture and wiring of basic biological functions. Over the past decade, this approach has benefited from the develo...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Royal Society
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10369027/ https://www.ncbi.nlm.nih.gov/pubmed/37491941 http://dx.doi.org/10.1098/rsob.230118 |
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author | García-Ruano, Daniel Jain, Akanksha Heins, Zachary J. Wong, Brandon G. Yimer Wolle, Ezira Khalil, Ahmad S. Coudreuse, Damien |
author_facet | García-Ruano, Daniel Jain, Akanksha Heins, Zachary J. Wong, Brandon G. Yimer Wolle, Ezira Khalil, Ahmad S. Coudreuse, Damien |
author_sort | García-Ruano, Daniel |
collection | PubMed |
description | Experimental evolution using fast-growing unicellular organisms is a unique strategy for deciphering the principles and mechanisms underlying evolutionary processes as well as the architecture and wiring of basic biological functions. Over the past decade, this approach has benefited from the development of powerful systems for the continuous control of the growth of independently evolving cultures. While the first devices compatible with multiplexed experimental evolution remained challenging to implement and required constant user intervention, the recently developed eVOLVER framework represents a fully automated closed-loop system for laboratory evolution assays. However, it remained difficult to maintain and compare parallel evolving cultures in tightly controlled environments over long periods of time using eVOLVER. Furthermore, a number of tools were lacking to cope with the various issues that inevitably occur when conducting such long-term assays. Here we present a significant upgrade of the eVOLVER framework, providing major modifications of the experimental methodology, hardware and software as well as a new stand-alone protocol. Altogether, these adaptations and improvements make the eVOLVER a versatile and unparalleled set-up for long-term experimental evolution. |
format | Online Article Text |
id | pubmed-10369027 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | The Royal Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-103690272023-07-27 Long-term evolution of proliferating cells using the eVOLVER platform García-Ruano, Daniel Jain, Akanksha Heins, Zachary J. Wong, Brandon G. Yimer Wolle, Ezira Khalil, Ahmad S. Coudreuse, Damien Open Biol Methods and Techniques Experimental evolution using fast-growing unicellular organisms is a unique strategy for deciphering the principles and mechanisms underlying evolutionary processes as well as the architecture and wiring of basic biological functions. Over the past decade, this approach has benefited from the development of powerful systems for the continuous control of the growth of independently evolving cultures. While the first devices compatible with multiplexed experimental evolution remained challenging to implement and required constant user intervention, the recently developed eVOLVER framework represents a fully automated closed-loop system for laboratory evolution assays. However, it remained difficult to maintain and compare parallel evolving cultures in tightly controlled environments over long periods of time using eVOLVER. Furthermore, a number of tools were lacking to cope with the various issues that inevitably occur when conducting such long-term assays. Here we present a significant upgrade of the eVOLVER framework, providing major modifications of the experimental methodology, hardware and software as well as a new stand-alone protocol. Altogether, these adaptations and improvements make the eVOLVER a versatile and unparalleled set-up for long-term experimental evolution. The Royal Society 2023-07-26 /pmc/articles/PMC10369027/ /pubmed/37491941 http://dx.doi.org/10.1098/rsob.230118 Text en © 2023 The Authors. https://creativecommons.org/licenses/by/4.0/Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, provided the original author and source are credited. |
spellingShingle | Methods and Techniques García-Ruano, Daniel Jain, Akanksha Heins, Zachary J. Wong, Brandon G. Yimer Wolle, Ezira Khalil, Ahmad S. Coudreuse, Damien Long-term evolution of proliferating cells using the eVOLVER platform |
title | Long-term evolution of proliferating cells using the eVOLVER platform |
title_full | Long-term evolution of proliferating cells using the eVOLVER platform |
title_fullStr | Long-term evolution of proliferating cells using the eVOLVER platform |
title_full_unstemmed | Long-term evolution of proliferating cells using the eVOLVER platform |
title_short | Long-term evolution of proliferating cells using the eVOLVER platform |
title_sort | long-term evolution of proliferating cells using the evolver platform |
topic | Methods and Techniques |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10369027/ https://www.ncbi.nlm.nih.gov/pubmed/37491941 http://dx.doi.org/10.1098/rsob.230118 |
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