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Dynamics of phage-host interactions in Bacteroides fragilis resolved by single-cell transcriptomics [scRNA-Seq data]

ABSTRACT: The interactions between lytic phages and their hosts are typically studied in bulk culture, which obscures cell-cell differences in infection susceptibility or expression of protective factors. Here, we use bacterial single-cell RNA sequencing to profile the transcriptomes of ~50,000 cells from cultures of a human pathobiont, Bacteroides fragilis, infected with a lytic bacteriophage. From a single sampling, we quantified the asynchronous progression of phage infection in individual bacterial cells and reconstructed the infection timeline, characterizing both host and phage transcriptomic changes as infection unfolded. Further, we discovered phenotypic subpopulations of bacteria that remained uninfected. Each cell's vulnerability to phage infection was influenced by expression of multiple genetic loci, most prominently phase-variable capsular polysaccharide (CPS) biosynthesis pathways and an operon predicted to encode fimbrial genes. These findings uncovered genome-wide phase variation and stochasticity that enable bacterial survival and re-growth without acquiring additional mutations. Overall, we establish bacterial single-cell RNA sequencing as a powerful platform for investigating the dynamics of host-phage interactions and revealing the roles of phase variation and stochasticity in bacterial defenses.

ORGANISM(S): Bacteroides fragilis

PROVIDER: GSE309504 | GEO | 2026/01/15

REPOSITORIES: GEO

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Project description:We used microarray analysis to investigate whole genome transcriptome dynamics of the marine cyanobacterium Prochlorococcus sp. strain MED4 and the T7-like podovirus P-SSP7 over a time course during the 8 hour latent period of lytic infection prior to cell lysis. Manuscript Summary: Interactions between bacterial hosts and their viruses (phages) lead to reciprocal genome evolution through a dynamic co-evolutionary process1-5. Phage-mediated transfer of host genes – often located in genome islands – has had a major impact on microbial evolution1, 4, 6. Furthermore, phage genomes have clearly been shaped by the acquisition of genes from their hosts2, 3, 5. Here we investigate whole-genome expression of a host and phage, the marine cyanobacterium Prochlorococcus and a T7-like cyanophage during lytic infection, to gain insight into these co-evolutionary processes. While most of the phage genome was linearly transcribed over the course of infection, 4 phage-encoded bacterial metabolism genes were part of the same expression cluster, even though they are physically separated on the genome. These genes — encoding photosystem II D1 (psbA), high-light inducible protein (hli), transaldolase (talC) and ribonucleotide reductase (nrd) — are transcribed together with phage DNA replication genes and appear to make up a functional unit involved in energy and deoxynucleotide production needed for phage replication in resource-poor oceans. Also unique to this system was the upregulation of numerous genes in the host during infection. These may be host stress response genes, and/or genes induced by the phage. Many of these host genes are located in genome islands and have homologues in cyanophage genomes. We hypothesize that phage have evolved to utilize upregulated host genes, leading to their stable incorporation into phage genomes and their subsequent transfer back to hosts in genome islands. Thus activation of host genes during infection may be directing the co-evolution of gene content in both host and phage genomes. Keywords: time course, viral infection, marine cyanobacteria, podovirus, bacteriophage, stress response

Project description:Optimality of the spontaneous prophage induction rate. Cortes MG1, Krog J2, Balázsi G3. 1 Department of Applied Mathematics and Statistics, Stony Brook University, Stony Brook, NY 11794, USA. 2 The Louis and Beatrice Laufer Center for Physical and Quantitative Biology, Stony Brook University, Stony Brook, NY 11794, USA. 3 Department of Biomedical Engineering, Stony Brook University, Stony Brook, NY 11794, USA. Electronic address: gabor.balazsi@stonybrook.edu. Abstract Lysogens are bacterial cells that have survived after genomically incorporating the DNA of temperate bacteriophages infecting them. If an infection results in lysogeny, the lysogen continues to grow and divide normally, seemingly unaffected by the integrated viral genome known as a prophage. However, the prophage can still have an impact on the host's phenotype and overall fitness in certain environments. Additionally, the prophage within the lysogen can activate the lytic pathway via spontaneous prophage induction (SPI), killing the lysogen and releasing new progeny phages. These new phages can then lyse or lysogenize other susceptible nonlysogens, thereby impacting the competition between lysogens and nonlysogens. In a scenario with differing growth rates, it is not clear whether SPI would be beneficial or detrimental to the lysogens since it kills the host cell but also attacks nonlysogenic competitors, either lysing or lysogenizing them. Here we study the evolutionary dynamics of a mixture of lysogens and nonlysogens and derive general conditions on SPI rates for lysogens to displace nonlysogens. We show that there exists an optimal SPI rate for bacteriophage λ and explain why it is so low. We also investigate the impact of stochasticity and conclude that even at low cell numbers SPI can still provide an advantage to the lysogens. These results corroborate recent experimental studies showing that lower SPI rates are advantageous for phage-phage competition, and establish theoretical bounds on the SPI rate in terms of ecological and environmental variables associated with lysogens having a competitive advantage over their nonlysogenic counterparts. Copyright © 2019 The Author(s). Published by Elsevier Ltd.. All rights reserved.

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Dynamics of phage-host interactions in Bacteroides fragilis resolved by single-cell transcriptomics [scRNA-Seq data]

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