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

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 dyn...

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Main Authors: Vinh Toan Dang, Matthew B Sullivan
Format: Article
Language:English
Published: Frontiers Media S.A. 2014-12-01
Series:Frontiers in Microbiology
Subjects:
Online Access:http://journal.frontiersin.org/Journal/10.3389/fmicb.2014.00724/full
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spelling doaj-3f0e693edc2141d39cf363b7debfc2942020-11-25T01:07:44ZengFrontiers Media S.A.Frontiers in Microbiology1664-302X2014-12-01510.3389/fmicb.2014.00724123839Emerging methods to study bacteriophage infection at the single-cell levelVinh Toan Dang0Matthew B Sullivan1Matthew B Sullivan2University of ArizonaUniversity of ArizonaUniversity of ArizonaBacteria 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 (SAG) 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.http://journal.frontiersin.org/Journal/10.3389/fmicb.2014.00724/fullInfection strategydigital PCRphage–bacteria interactionsingle-cell amplified genomephageFISH
collection DOAJ
language English
format Article
sources DOAJ
author Vinh Toan Dang
Matthew B Sullivan
Matthew B Sullivan
spellingShingle Vinh Toan Dang
Matthew B Sullivan
Matthew B Sullivan
Emerging methods to study bacteriophage infection at the single-cell level
Frontiers in Microbiology
Infection strategy
digital PCR
phage–bacteria interaction
single-cell amplified genome
phageFISH
author_facet Vinh Toan Dang
Matthew B Sullivan
Matthew B Sullivan
author_sort Vinh Toan Dang
title Emerging methods to study bacteriophage infection at the single-cell level
title_short Emerging methods to study bacteriophage infection at the single-cell level
title_full Emerging methods to study bacteriophage infection at the single-cell level
title_fullStr Emerging methods to study bacteriophage infection at the single-cell level
title_full_unstemmed Emerging methods to study bacteriophage infection at the single-cell level
title_sort emerging methods to study bacteriophage infection at the single-cell level
publisher Frontiers Media S.A.
series Frontiers in Microbiology
issn 1664-302X
publishDate 2014-12-01
description 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 (SAG) 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.
topic Infection strategy
digital PCR
phage–bacteria interaction
single-cell amplified genome
phageFISH
url http://journal.frontiersin.org/Journal/10.3389/fmicb.2014.00724/full
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