| Autor: |
Daniel García-Ruano, Akanksha Jain, Zachary J. Heins, Brandon G. Wong, Ezira Yimer Wolle, Ahmad S. Khalil, Damien Coudreuse |
| Jazyk: |
angličtina |
| Rok vydání: |
2023 |
| Předmět: |
|
| Zdroj: |
Open Biology, Vol 13, Iss 7 (2023) |
| Druh dokumentu: |
article |
| ISSN: |
2046-2441 |
| DOI: |
10.1098/rsob.230118 |
| Popis: |
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. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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