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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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 |
work_keys_str_mv |
AT vinhtoandang emergingmethodstostudybacteriophageinfectionatthesinglecelllevel AT matthewbsullivan emergingmethodstostudybacteriophageinfectionatthesinglecelllevel AT matthewbsullivan emergingmethodstostudybacteriophageinfectionatthesinglecelllevel |
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