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ABSTRACT: Unlabelled
The study of phage-host relationships is essential to understanding the dynamic of microbial systems. Here, we analyze genome-wide interactions of Bacillus subtilis and its lytic phage ?29 during the early stage of infection. Simultaneous high-resolution analysis of virus and host transcriptomes by deep RNA sequencing allowed us to identify differentially expressed bacterial genes. Phage ?29 induces significant transcriptional changes in about 0.9% (38/4,242) and 1.8% (76/4,242) of the host protein-coding genes after 8 and 16 min of infection, respectively. Gene ontology enrichment analysis clustered upregulated genes into several functional categories, such as nucleic acid metabolism (including DNA replication) and protein metabolism (including translation). Surprisingly, most of the transcriptional repressed genes were involved in the utilization of specific carbon sources such as ribose and inositol, and many contained promoter binding-sites for the catabolite control protein A (CcpA). Another interesting finding is the presence of previously uncharacterized antisense transcripts complementary to the well-known phage ?29 messenger RNAs that adds an additional layer to the viral transcriptome complexity.Importance
The specific virus-host interactions that allow phages to redirect cellular machineries and energy resources to support the viral progeny production are poorly understood. This study provides, for the first time, an insight into the genome-wide transcriptional response of the Gram-positive model Bacillus subtilis to phage ?29 infection.
SUBMITTER: Mojardin L
PROVIDER: S-EPMC5044823 | biostudies-literature | 2016 Oct
REPOSITORIES: biostudies-literature
Journal of virology 20160929 20
<h4>Unlabelled</h4>The study of phage-host relationships is essential to understanding the dynamic of microbial systems. Here, we analyze genome-wide interactions of Bacillus subtilis and its lytic phage ϕ29 during the early stage of infection. Simultaneous high-resolution analysis of virus and host transcriptomes by deep RNA sequencing allowed us to identify differentially expressed bacterial genes. Phage ϕ29 induces significant transcriptional changes in about 0.9% (38/4,242) and 1.8% (76/4,24 ...[more]