Suppr超能文献

抵御公共利益合作进化的抑制剂:受社会进化理论启发的筛选策略。

Evolution-proof inhibitors of public good cooperation: a screening strategy inspired by social evolution theory.

机构信息

Centre of Microbial and Plant Genetics (CMPG), Department of Microbial and Molecular Systems, KU Leuven, Leuven, B-3001, Belgium.

出版信息

FEMS Microbiol Rev. 2022 Oct 28;46(5). doi: 10.1093/femsre/fuac019.

Abstract

Interference with public good cooperation provides a promising novel antimicrobial strategy since social evolution theory predicts that resistant mutants will be counter-selected if they share the public benefits of their resistance with sensitive cells in the population. Although this hypothesis is supported by a limited number of pioneering studies, an extensive body of more fundamental work on social evolution describes a multitude of mechanisms and conditions that can stabilize public behaviour, thus potentially allowing resistant mutants to thrive. In this paper we theorize on how these different mechanisms can influence the evolution of resistance against public good inhibitors. Based hereon, we propose an innovative 5-step screening strategy to identify novel evolution-proof public good inhibitors, which involves a systematic evaluation of the exploitability of public goods under the most relevant experimental conditions, as well as a careful assessment of the most optimal way to interfere with their action. Overall, this opinion paper is aimed to contribute to long-term solutions to fight bacterial infections.

摘要

干扰公共利益合作提供了一种有前途的新型抗菌策略,因为社会进化理论预测,如果具有抗性的突变体与群体中的敏感细胞共享其抗性的公共利益,它们将被反选择。尽管这一假设得到了为数不多的开创性研究的支持,但大量更基础的社会进化研究描述了多种可以稳定公共行为的机制和条件,从而可能使具有抗性的突变体得以茁壮成长。在本文中,我们从理论上探讨了这些不同的机制如何影响针对公共利益抑制剂的抗性演变。在此基础上,我们提出了一种创新的五步筛选策略,以识别新的抗进化公共利益抑制剂,该策略涉及在最相关的实验条件下系统评估公共物品的可利用性,以及仔细评估干扰其作用的最佳方式。总的来说,本观点文章旨在为对抗细菌感染提供长期解决方案做出贡献。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e05a/9616471/a2b9cced0e47/fuac019fig1.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验