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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: |
Cold Spring Harbor Laboratory
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10081182/ https://www.ncbi.nlm.nih.gov/pubmed/37034650 http://dx.doi.org/10.1101/2023.03.28.534552 |
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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 standalone protocol. Altogether, these adaptations and improvements make the eVOLVER a versatile and unparalleled setup for long-term experimental evolution. |
format | Online Article Text |
id | pubmed-10081182 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Cold Spring Harbor Laboratory |
record_format | MEDLINE/PubMed |
spelling | pubmed-100811822023-04-08 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 bioRxiv Article 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 standalone protocol. Altogether, these adaptations and improvements make the eVOLVER a versatile and unparalleled setup for long-term experimental evolution. Cold Spring Harbor Laboratory 2023-04-19 /pmc/articles/PMC10081182/ /pubmed/37034650 http://dx.doi.org/10.1101/2023.03.28.534552 Text en https://creativecommons.org/licenses/by-nc/4.0/This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License (https://creativecommons.org/licenses/by-nc/4.0/) , which allows reusers to distribute, remix, adapt, and build upon the material in any medium or format for noncommercial purposes only, and only so long as attribution is given to the creator. |
spellingShingle | Article 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 | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10081182/ https://www.ncbi.nlm.nih.gov/pubmed/37034650 http://dx.doi.org/10.1101/2023.03.28.534552 |
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