Emerging methods to study bacteriophage infection at the single-cell level

Vinh T. Dang, Matthew Sullivan

Research output: Contribution to journalArticle

17 Citations (Scopus)

Abstract

Bacteria and their viruses (phages) are abundant across diverse ecosystems and their interactions influence global biogeochemical cycles and incidence of disease. Problematically, both classical and metagenomic methods insufficiently assess the host specificity of phages and phage-host infection dynamics in nature. Here we review emerging methods to study phage-host interaction and infection dynamics with a focus on those that offer resolution at the single-cell level. These methods leverage ever-increasing sequence data to identify virus signals from single-cell amplified genome datasets or to produce primers/probes to target particular phage-bacteria pairs (digital PCR and phageFISH), even in complex communities. All three methods enable study of phage infection of uncultured bacteria from environmental samples, while the latter also discriminates between phage-host interaction outcomes (e.g., lytic, chronic, lysogenic) in model systems. Together these techniques enable quantitative, spatiotemporal studies of phage-bacteria interactions from environmental samples of any ecosystem, which will help elucidate and predict the ecological and evolutionary impacts of specific phage-host pairings in nature.

Original languageEnglish (US)
Article number724
JournalFrontiers in Microbiology
Volume5
Issue numberDEC
DOIs
StatePublished - 2014

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Bacteriophages
Infection
Bacteria
Ecosystem
Viruses
Metagenomics
Host Specificity
Genome
Polymerase Chain Reaction
Incidence

Keywords

  • Digital PCR
  • Infection strategy
  • Phage-bacteria interaction
  • PhageFISH
  • Single-cell amplified genome

ASJC Scopus subject areas

  • Microbiology
  • Microbiology (medical)

Cite this

Emerging methods to study bacteriophage infection at the single-cell level. / Dang, Vinh T.; Sullivan, Matthew.

In: Frontiers in Microbiology, Vol. 5, No. DEC, 724, 2014.

Research output: Contribution to journalArticle

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