Exploring the Evolution of Virulence Factors through Bioinformatic Data Mining

ABSTRACT The molecular evolution of virulence factors is a central theme in our understanding of bacterial pathogenesis and host-microbe interactions. Using bioinformatics and genome data mining, recent studies have shed light on the evolution of important virulence factor families and the mechanism...

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Autores principales:	Andrew C. Doxey, Michael J. Mansfield, Briallen Lobb
Formato:	article
Lenguaje:	EN
Publicado:	American Society for Microbiology 2019
Materias:	bioinformatics microbial genomics molecular evolution pathogens virulence factors Microbiology QR1-502
Acceso en línea:	https://doaj.org/article/adf1621820b64c0980f0e6ca9e62dc03
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spelling	oai:doaj.org-article:adf1621820b64c0980f0e6ca9e62dc032021-12-02T18:44:39ZExploring the Evolution of Virulence Factors through Bioinformatic Data Mining10.1128/mSystems.00162-192379-5077https://doaj.org/article/adf1621820b64c0980f0e6ca9e62dc032019-06-01T00:00:00Zhttps://journals.asm.org/doi/10.1128/mSystems.00162-19https://doaj.org/toc/2379-5077ABSTRACT The molecular evolution of virulence factors is a central theme in our understanding of bacterial pathogenesis and host-microbe interactions. Using bioinformatics and genome data mining, recent studies have shed light on the evolution of important virulence factor families and the mechanisms by which they have adapted and diversified in function. This perspective highlights three complementary approaches useful for studying the molecular evolution of virulence factors: identification and analysis of virulence factor homologs, detection of adaptations or functional shifts, and computational prediction of novel virulence factor families. Each of these research directions is associated with distinct questions, approaches, and challenges for future work. Moving forward, bioinformatics will continue to play a critical role in exploring the evolution of virulence factors, including those that target humans. By reconstructing past processes and events, we will be able to better interpret newly sequenced microbial genomes and detect future pathoadaptations.Andrew C. DoxeyMichael J. MansfieldBriallen LobbAmerican Society for Microbiologyarticlebioinformaticsmicrobial genomicsmolecular evolutionpathogensvirulence factorsMicrobiologyQR1-502ENmSystems, Vol 4, Iss 3 (2019)
institution	DOAJ
collection	DOAJ
language	EN
topic	bioinformatics microbial genomics molecular evolution pathogens virulence factors Microbiology QR1-502
spellingShingle	bioinformatics microbial genomics molecular evolution pathogens virulence factors Microbiology QR1-502 Andrew C. Doxey Michael J. Mansfield Briallen Lobb Exploring the Evolution of Virulence Factors through Bioinformatic Data Mining
description	ABSTRACT The molecular evolution of virulence factors is a central theme in our understanding of bacterial pathogenesis and host-microbe interactions. Using bioinformatics and genome data mining, recent studies have shed light on the evolution of important virulence factor families and the mechanisms by which they have adapted and diversified in function. This perspective highlights three complementary approaches useful for studying the molecular evolution of virulence factors: identification and analysis of virulence factor homologs, detection of adaptations or functional shifts, and computational prediction of novel virulence factor families. Each of these research directions is associated with distinct questions, approaches, and challenges for future work. Moving forward, bioinformatics will continue to play a critical role in exploring the evolution of virulence factors, including those that target humans. By reconstructing past processes and events, we will be able to better interpret newly sequenced microbial genomes and detect future pathoadaptations.
format	article
author	Andrew C. Doxey Michael J. Mansfield Briallen Lobb
author_facet	Andrew C. Doxey Michael J. Mansfield Briallen Lobb
author_sort	Andrew C. Doxey
title	Exploring the Evolution of Virulence Factors through Bioinformatic Data Mining
title_short	Exploring the Evolution of Virulence Factors through Bioinformatic Data Mining
title_full	Exploring the Evolution of Virulence Factors through Bioinformatic Data Mining
title_fullStr	Exploring the Evolution of Virulence Factors through Bioinformatic Data Mining
title_full_unstemmed	Exploring the Evolution of Virulence Factors through Bioinformatic Data Mining
title_sort	exploring the evolution of virulence factors through bioinformatic data mining
publisher	American Society for Microbiology
publishDate	2019
url	https://doaj.org/article/adf1621820b64c0980f0e6ca9e62dc03
work_keys_str_mv	AT andrewcdoxey exploringtheevolutionofvirulencefactorsthroughbioinformaticdatamining AT michaeljmansfield exploringtheevolutionofvirulencefactorsthroughbioinformaticdatamining AT briallenlobb exploringtheevolutionofvirulencefactorsthroughbioinformaticdatamining
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Exploring the Evolution of Virulence Factors through Bioinformatic Data Mining

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