Integrated Omics Reveal Time-Resolved Insights into T4 Phage Infection of <i>E. coli</i> on Proteome and Transcriptome Levels

Bacteriophages are highly abundant viruses of bacteria. The major role of phages in shaping bacterial communities and their emerging medical potential as antibacterial agents has triggered a rebirth of phage research. To understand the molecular mechanisms by which phages hijack their host, omics te...

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Bibliographic Details
Main Authors: Maik Wolfram-Schauerte, Nadiia Pozhydaieva, Madita Viering, Timo Glatter, Katharina Höfer
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Viruses
Subjects:
Online Access:https://www.mdpi.com/1999-4915/14/11/2502
Description
Summary:Bacteriophages are highly abundant viruses of bacteria. The major role of phages in shaping bacterial communities and their emerging medical potential as antibacterial agents has triggered a rebirth of phage research. To understand the molecular mechanisms by which phages hijack their host, omics technologies can provide novel insights into the organization of transcriptional and translational events occurring during the infection process. In this study, we apply transcriptomics and proteomics to characterize the temporal patterns of transcription and protein synthesis during the T4 phage infection of <i>E. coli</i>. We investigated the stability of <i>E. coli</i>-originated transcripts and proteins in the course of infection, identifying the degradation of <i>E. coli</i> transcripts and the preservation of the host proteome. Moreover, the correlation between the phage transcriptome and proteome reveals specific T4 phage mRNAs and proteins that are temporally decoupled, suggesting post-transcriptional and translational regulation mechanisms. This study provides the first comprehensive insights into the molecular takeover of <i>E. coli</i> by bacteriophage T4. This data set represents a valuable resource for future studies seeking to study molecular and regulatory events during infection. We created a user-friendly online tool, POTATO4, which is available to the scientific community and allows access to gene expression patterns for <i>E. coli</i> and T4 genes.
ISSN:1999-4915