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CRISPR-Cas 免疫系统在细菌种群中传播的条件。

Conditions for the spread of CRISPR-Cas immune systems into bacterial populations.

机构信息

Milner Centre for Evolution, Department of Life Sciences, University of Bath, Claverton Down, Bath BA2 7AY, United Kingdom.

ESI, Biosciences, University of Exeter, Cornwall Campus, Penryn TR10 9FE, United Kingdom.

出版信息

ISME J. 2024 Jan 8;18(1). doi: 10.1093/ismejo/wrae108.

Abstract

Bacteria contain a wide variety of innate and adaptive immune systems which provide protection to the host against invading genetic material, including bacteriophages (phages). It is becoming increasingly clear that bacterial immune systems are frequently lost and gained through horizontal gene transfer. However, how and when new immune systems can become established in a bacterial population have remained largely unstudied. We developed a joint epidemiological and evolutionary model that predicts the conditions necessary for the spread of a CRISPR-Cas (clustered regularly interspaced short palindromic repeats-CRISPR-associated) immune system into a bacterial population lacking this system. We found that whether bacteria carrying CRISPR-Cas will spread (increase in frequency) into a bacterial population depends on the abundance of phages and the difference in the frequency of phage resistance mechanisms between bacteria carrying a CRISPR-Cas immune system and those not (denoted as ${f}_{\Delta }$). Specifically, the abundance of cells carrying CRISPR-Cas will increase if there is a higher proportion of phage resistance (either via CRISPR-Cas immunity or surface modification) in the CRISPR-Cas-possessing population than in the cells lacking CRISPR-Cas. We experimentally validated these predictions in a model using Pseudomonas aeruginosa PA14 and phage DMS3vir. Specifically, by varying the initial ratios of different strains of bacteria that carry alternative forms of phage resistance, we confirmed that the spread of cells carrying CRISPR-Cas through a population can be predicted based on phage density and the relative frequency of resistance phenotypes. Understanding which conditions promote the spread of CRISPR-Cas systems helps to predict when and where these defences can become established in bacterial populations after a horizontal gene transfer event, both in ecological and clinical contexts.

摘要

细菌含有各种各样的先天和适应性免疫系统,为宿主提供了抵御入侵遗传物质(包括噬菌体)的保护。越来越明显的是,细菌的免疫系统经常通过水平基因转移而丢失和获得。然而,新的免疫系统如何以及何时能够在细菌群体中建立起来,在很大程度上仍未得到研究。我们开发了一个联合的流行病学和进化模型,该模型预测了 CRISPR-Cas(成簇规律间隔短回文重复序列-CRISPR 相关)免疫系统传播到缺乏该系统的细菌群体中所需的条件。我们发现,携带 CRISPR-Cas 的细菌是否会(频率增加)传播到细菌群体中,取决于噬菌体的丰度以及携带 CRISPR-Cas 免疫的细菌与不携带 CRISPR-Cas 的细菌之间噬菌体抗性机制的频率差异(表示为${f}_{\Delta }$)。具体来说,如果在携带 CRISPR-Cas 的群体中,噬菌体抗性(通过 CRISPR-Cas 免疫或表面修饰)的比例高于缺乏 CRISPR-Cas 的细胞,那么携带 CRISPR-Cas 的细胞的数量就会增加。我们在使用铜绿假单胞菌 PA14 和噬菌体 DMS3vir 的模型中实验验证了这些预测。具体来说,通过改变携带不同形式噬菌体抗性的细菌初始比例,我们证实了携带 CRISPR-Cas 的细胞在种群中的传播可以根据噬菌体密度和抗性表型的相对频率来预测。了解哪些条件促进了 CRISPR-Cas 系统的传播有助于预测这些防御机制在水平基因转移事件后何时何地在细菌群体中建立起来,无论是在生态还是临床背景下。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c5a2/11285788/28fb0f6eebf8/wrae108ga1.jpg

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