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低成本、开源的进化生物反应器及其教育应用。

A low-cost, open-source evolutionary bioreactor and its educational use.

机构信息

Lerner College of Medicine, Cleveland Clinic, Cleveland, United States.

Case Western Reserve University School of Medicine, Cleveland, United States.

出版信息

Elife. 2022 Nov 1;11:e83067. doi: 10.7554/eLife.83067.

DOI:10.7554/eLife.83067
PMID:36317871
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9683782/
Abstract

A morbidostat is a bioreactor that uses antibiotics to control the growth of bacteria, making it well-suited for studying the evolution of antibiotic resistance. However, morbidostats are often too expensive to be used in educational settings. Here we present a low-cost morbidostat called the EVolutionary biorEactor (EVE) that can be built by students with minimal engineering and programming experience. We describe how we validated EVE in a real classroom setting by evolving replicate populations under chloramphenicol challenge, thereby enabling students to learn about bacterial growth and antibiotic resistance.

摘要

一种病态生长限制器是一种使用抗生素来控制细菌生长的生物反应器，非常适合研究抗生素耐药性的演变。然而，病态生长限制器通常过于昂贵，无法在教育环境中使用。在这里，我们提出了一种低成本的病态生长限制器，称为 EVolutionary biorEactor（EVE），它可以由具有最小工程和编程经验的学生构建。我们描述了如何通过在氯霉素挑战下进化复制种群来在真实的课堂环境中验证 EVE，从而使学生了解细菌生长和抗生素耐药性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/82dd/9683782/d55c42543c3b/elife-83067-fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/82dd/9683782/d5421e592d90/elife-83067-fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/82dd/9683782/d7cbab376bd0/elife-83067-fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/82dd/9683782/1c02f31b4641/elife-83067-fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/82dd/9683782/d55c42543c3b/elife-83067-fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/82dd/9683782/d5421e592d90/elife-83067-fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/82dd/9683782/d7cbab376bd0/elife-83067-fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/82dd/9683782/1c02f31b4641/elife-83067-fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/82dd/9683782/d55c42543c3b/elife-83067-fig4.jpg

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Genomic evolution of antibiotic resistance is contingent on genetic background following a long-term experiment with .抗生素耐药性的基因组进化取决于长期实验后的遗传背景。
Proc Natl Acad Sci U S A. 2021 Feb 2;118(5). doi: 10.1073/pnas.2016886118.
3
EvolvingSTEM: a microbial evolution-in-action curriculum that enhances learning of evolutionary biology and biotechnology.
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Evolution (N Y). 2019;12(1):12. doi: 10.1186/s12052-019-0103-4. Epub 2019 Apr 24.
4
Pervasive and diverse collateral sensitivity profiles inform optimal strategies to limit antibiotic resistance.广泛而多样的交叉耐药性谱为限制抗生素耐药性提供了最佳策略。
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Antibiotic collateral sensitivity is contingent on the repeatability of evolution.抗生素的协同敏感现象取决于进化的可重复性。
Nat Commun. 2019 Jan 18;10(1):334. doi: 10.1038/s41467-018-08098-6.
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