Gene Co-occurrence Networks Reflect Bacteriophage Ecology and Evolution

ABSTRACT Bacteriophages are the most abundant and diverse biological entities on the planet, and new phage genomes are being discovered at a rapid pace. As more phage genomes are published, new methods are needed for placing these genomes in an ecological and evolutionary context. Phages are difficu...

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Autores principales:	Jason W. Shapiro, Catherine Putonti
Formato:	article
Lenguaje:	EN
Publicado:	American Society for Microbiology 2018
Materias:	bacteriophage evolution bacteriophages networks virus host range Microbiology QR1-502
Acceso en línea:	https://doaj.org/article/c6bee42ed1974a118355b34970ac6631
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spelling	oai:doaj.org-article:c6bee42ed1974a118355b34970ac66312021-11-15T15:53:26ZGene Co-occurrence Networks Reflect Bacteriophage Ecology and Evolution10.1128/mBio.01870-172150-7511https://doaj.org/article/c6bee42ed1974a118355b34970ac66312018-05-01T00:00:00Zhttps://journals.asm.org/doi/10.1128/mBio.01870-17https://doaj.org/toc/2150-7511ABSTRACT Bacteriophages are the most abundant and diverse biological entities on the planet, and new phage genomes are being discovered at a rapid pace. As more phage genomes are published, new methods are needed for placing these genomes in an ecological and evolutionary context. Phages are difficult to study by phylogenetic methods, because they exchange genes regularly, and no single gene is conserved across all phages. Here, we demonstrate how gene-level networks can provide a high-resolution view of phage genetic diversity and offer a novel perspective on virus ecology. We focus our analyses on virus host range and show how network topology corresponds to host relatedness, how to find groups of genes with the strongest host-specific signatures, and how this perspective can complement phage host prediction tools. We discuss extensions of gene network analysis to predicting the emergence of phages on new hosts, as well as applications to features of phage biology beyond host range. IMPORTANCE Bacteriophages (phages) are viruses that infect bacteria, and they are critical drivers of bacterial evolution and community structure. It is generally difficult to study phages by using tree-based methods, because gene exchange is common, and no single gene is shared among all phages. Instead, networks offer a means to compare phages while placing them in a broader ecological and evolutionary context. In this work, we build a network that summarizes gene sharing across phages and test how a key constraint on phage ecology, host range, corresponds to the structure of the network. We find that the network reflects the relatedness among phage hosts, and phages with genes that are closer in the network are likelier to infect similar hosts. This approach can also be used to identify genes that affect host range, and we discuss possible extensions to analyze other aspects of viral ecology.Jason W. ShapiroCatherine PutontiAmerican Society for Microbiologyarticlebacteriophage evolutionbacteriophagesnetworksvirus host rangeMicrobiologyQR1-502ENmBio, Vol 9, Iss 2 (2018)
institution	DOAJ
collection	DOAJ
language	EN
topic	bacteriophage evolution bacteriophages networks virus host range Microbiology QR1-502
spellingShingle	bacteriophage evolution bacteriophages networks virus host range Microbiology QR1-502 Jason W. Shapiro Catherine Putonti Gene Co-occurrence Networks Reflect Bacteriophage Ecology and Evolution
description	ABSTRACT Bacteriophages are the most abundant and diverse biological entities on the planet, and new phage genomes are being discovered at a rapid pace. As more phage genomes are published, new methods are needed for placing these genomes in an ecological and evolutionary context. Phages are difficult to study by phylogenetic methods, because they exchange genes regularly, and no single gene is conserved across all phages. Here, we demonstrate how gene-level networks can provide a high-resolution view of phage genetic diversity and offer a novel perspective on virus ecology. We focus our analyses on virus host range and show how network topology corresponds to host relatedness, how to find groups of genes with the strongest host-specific signatures, and how this perspective can complement phage host prediction tools. We discuss extensions of gene network analysis to predicting the emergence of phages on new hosts, as well as applications to features of phage biology beyond host range. IMPORTANCE Bacteriophages (phages) are viruses that infect bacteria, and they are critical drivers of bacterial evolution and community structure. It is generally difficult to study phages by using tree-based methods, because gene exchange is common, and no single gene is shared among all phages. Instead, networks offer a means to compare phages while placing them in a broader ecological and evolutionary context. In this work, we build a network that summarizes gene sharing across phages and test how a key constraint on phage ecology, host range, corresponds to the structure of the network. We find that the network reflects the relatedness among phage hosts, and phages with genes that are closer in the network are likelier to infect similar hosts. This approach can also be used to identify genes that affect host range, and we discuss possible extensions to analyze other aspects of viral ecology.
format	article
author	Jason W. Shapiro Catherine Putonti
author_facet	Jason W. Shapiro Catherine Putonti
author_sort	Jason W. Shapiro
title	Gene Co-occurrence Networks Reflect Bacteriophage Ecology and Evolution
title_short	Gene Co-occurrence Networks Reflect Bacteriophage Ecology and Evolution
title_full	Gene Co-occurrence Networks Reflect Bacteriophage Ecology and Evolution
title_fullStr	Gene Co-occurrence Networks Reflect Bacteriophage Ecology and Evolution
title_full_unstemmed	Gene Co-occurrence Networks Reflect Bacteriophage Ecology and Evolution
title_sort	gene co-occurrence networks reflect bacteriophage ecology and evolution
publisher	American Society for Microbiology
publishDate	2018
url	https://doaj.org/article/c6bee42ed1974a118355b34970ac6631
work_keys_str_mv	AT jasonwshapiro genecooccurrencenetworksreflectbacteriophageecologyandevolution AT catherineputonti genecooccurrencenetworksreflectbacteriophageecologyandevolution
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Gene Co-occurrence Networks Reflect Bacteriophage Ecology and Evolution

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