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细菌泛基因组中的基因共现及其与噬菌体感染性的关联。

Gene co-occurrence and its association with phage infectivity in bacterial pangenomes.

作者信息

Kupczok Anne, Gavriilidou Athina, Paulitz Emilian, Guerrero-García Lucía, Baumdicker Franz

机构信息

Bioinformatics Group, Wageningen University, Wageningen, Gelderland, The Netherlands.

Department of Computational Biology, University of Lausanne, Lausanne, Vaud, Switzerland.

出版信息

Philos Trans R Soc Lond B Biol Sci. 2025 Sep 4;380(1934):20240070. doi: 10.1098/rstb.2024.0070.

Abstract

Phages infect bacteria and have recently re-emerged as a promising strategy to combat bacterial infections. However, there is a lack of methods to predict whether and why a particular phage can or cannot infect a bacterial strain based on their genome sequences. Understanding the complex interactions between phages and their bacterial hosts is thus of considerable interest. We recently developed Goldfinder, a phylogenetic method to discover gene co-occurrences across bacterial pangenomes. Here, we expand Goldfinder to infer which gene presences or absences influence bacterial sensitivity to phages. By integrating a bacterial pangenome with an experimentally determined host range matrix, we infer associations between phage infectivity and the presence of accessory genes in bacterial pangenomes. The presented approach can be applied to predict bacterial genes that potentially enable phage infection, bacterial genes that prevent phage infection, and potential interactions between particular bacterial and phage accessory genes. Finally, the predicted interactions are clustered and visualized with the software Cytoscape. Here, we present a method to identify candidate genes within the pool of mobile accessory genes that may contribute to phage-host interactions. This approach will help to set up follow-up experiments and to understand the complex interactions between phages and bacteria.This article is part of the discussion meeting issue 'The ecology and evolution of bacterial immune systems'.

摘要

噬菌体可感染细菌,最近作为一种对抗细菌感染的有前景的策略再度兴起。然而,目前缺乏基于噬菌体和细菌菌株的基因组序列来预测特定噬菌体能否感染某一细菌菌株以及原因的方法。因此,了解噬菌体与其细菌宿主之间的复杂相互作用备受关注。我们最近开发了Goldfinder,这是一种用于发现细菌泛基因组中基因共现情况的系统发育方法。在此,我们扩展了Goldfinder,以推断哪些基因的存在或缺失会影响细菌对噬菌体的敏感性。通过将细菌泛基因组与实验确定的宿主范围矩阵相结合,我们推断噬菌体感染性与细菌泛基因组中辅助基因存在之间的关联。所提出的方法可用于预测可能促成噬菌体感染的细菌基因、防止噬菌体感染的细菌基因,以及特定细菌和噬菌体辅助基因之间的潜在相互作用。最后,利用Cytoscape软件对预测的相互作用进行聚类和可视化展示。在此,我们提出一种方法,用于在可能促成噬菌体 - 宿主相互作用的移动辅助基因库中识别候选基因。这种方法将有助于开展后续实验,并理解噬菌体与细菌之间的复杂相互作用。本文是“细菌免疫系统的生态与进化”讨论会议文集的一部分。

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