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

Long-term evolution of proliferating cells using the eVOLVER platform.
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使用 eVOLVER 平台进行增殖细胞的长期进化。

DOI:
10.1101/2023.03.28.534552
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发表时间:
2023
期刊:
bioRxiv : the preprint server for biology
影响因子:
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通讯作者:
Coudreuse,Damien
Coudreuse,Damien
中科院分区:
--
文献类型:
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作者:
García-Ruano,Daniel;Jain,Akanksha;Heins,ZacharyJ;Wong,BrandonG;YimerWolle,Ezira;Khalil,AhmadS;Coudreuse,Damien

文献摘要

相似文献

利用快速生长的单细胞生物体进行实验进化是破译进化过程以及基本生物功能的结构和连接的原理和机制的独特策略。在过去的十年里,这种方法得益于强大的系统的发展,以持续控制独立发展的文化的发展。虽然与多路实验进化兼容的第一批设备的实施仍然具有挑战性,并且需要持续的用户干预,但最近开发的Evolver框架代表了实验室进化分析的全自动闭环系统。然而,使用Evolver在严格控制的环境中长期维护和比较并行进化的文化仍然很困难。此外,缺乏一些工具来处理在进行这种长期分析时不可避免地出现的各种问题。在这里,我们提出了对Evolver框架的重大升级,对实验方法、硬件和软件以及新的独立协议进行了重大修改。总而言之,这些适应和改进使Evolver成为长期实验进化的多功能和无与伦比的设置。
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.