Predicting the Next Eye Pathogen: Analysis of a Novel Adenovirus

ABSTRACT For DNA viruses, genetic recombination, addition, and deletion represent important evolutionary mechanisms. Since these genetic alterations can lead to new, possibly severe pathogens, we applied a systems biology approach to study the pathogenicity of a novel human adenovirus with a natural...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Christopher M. Robinson, Xiaohong Zhou, Jaya Rajaiya, Mohammad A. Yousuf, Gurdeep Singh, Joshua J. DeSerres, Michael P. Walsh, Sallene Wong, Donald Seto, David W. Dyer, James Chodosh, Morris S. Jones
Formato: article
Lenguaje:EN
Publicado: American Society for Microbiology 2013
Materias:
Acceso en línea:https://doaj.org/article/d22af2d76bcc4ef7a438eff26d3f60b1
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
id oai:doaj.org-article:d22af2d76bcc4ef7a438eff26d3f60b1
record_format dspace
spelling oai:doaj.org-article:d22af2d76bcc4ef7a438eff26d3f60b12021-11-15T15:40:28ZPredicting the Next Eye Pathogen: Analysis of a Novel Adenovirus10.1128/mBio.00595-122150-7511https://doaj.org/article/d22af2d76bcc4ef7a438eff26d3f60b12013-05-01T00:00:00Zhttps://journals.asm.org/doi/10.1128/mBio.00595-12https://doaj.org/toc/2150-7511ABSTRACT For DNA viruses, genetic recombination, addition, and deletion represent important evolutionary mechanisms. Since these genetic alterations can lead to new, possibly severe pathogens, we applied a systems biology approach to study the pathogenicity of a novel human adenovirus with a naturally occurring deletion of the canonical penton base Arg-Gly-Asp (RGD) loop, thought to be critical to cellular entry by adenoviruses. Bioinformatic analysis revealed a new highly recombinant species D human adenovirus (HAdV-D60). A synthesis of in silico and laboratory approaches revealed a potential ocular tropism for the new virus. In vivo, inflammation induced by the virus was dramatically greater than that by adenovirus type 37, a major eye pathogen, possibly due to a novel alternate ligand, Tyr-Gly-Asp (YGD), on the penton base protein. The combination of bioinformatics and laboratory simulation may have important applications in the prediction of tissue tropism for newly discovered and emerging viruses. IMPORTANCE The ongoing dance between a virus and its host distinctly shapes how the virus evolves. While human adenoviruses typically cause mild infections, recent reports have described newly characterized adenoviruses that cause severe, sometimes fatal human infections. Here, we report a systems biology approach to show how evolution has affected the disease potential of a recently identified novel human adenovirus. A comprehensive understanding of viral evolution and pathogenicity is essential to our capacity to foretell the potential impact on human disease for new and emerging viruses.Christopher M. RobinsonXiaohong ZhouJaya RajaiyaMohammad A. YousufGurdeep SinghJoshua J. DeSerresMichael P. WalshSallene WongDonald SetoDavid W. DyerJames ChodoshMorris S. JonesAmerican Society for MicrobiologyarticleMicrobiologyQR1-502ENmBio, Vol 4, Iss 2 (2013)
institution DOAJ
collection DOAJ
language EN
topic Microbiology
QR1-502
spellingShingle Microbiology
QR1-502
Christopher M. Robinson
Xiaohong Zhou
Jaya Rajaiya
Mohammad A. Yousuf
Gurdeep Singh
Joshua J. DeSerres
Michael P. Walsh
Sallene Wong
Donald Seto
David W. Dyer
James Chodosh
Morris S. Jones
Predicting the Next Eye Pathogen: Analysis of a Novel Adenovirus
description ABSTRACT For DNA viruses, genetic recombination, addition, and deletion represent important evolutionary mechanisms. Since these genetic alterations can lead to new, possibly severe pathogens, we applied a systems biology approach to study the pathogenicity of a novel human adenovirus with a naturally occurring deletion of the canonical penton base Arg-Gly-Asp (RGD) loop, thought to be critical to cellular entry by adenoviruses. Bioinformatic analysis revealed a new highly recombinant species D human adenovirus (HAdV-D60). A synthesis of in silico and laboratory approaches revealed a potential ocular tropism for the new virus. In vivo, inflammation induced by the virus was dramatically greater than that by adenovirus type 37, a major eye pathogen, possibly due to a novel alternate ligand, Tyr-Gly-Asp (YGD), on the penton base protein. The combination of bioinformatics and laboratory simulation may have important applications in the prediction of tissue tropism for newly discovered and emerging viruses. IMPORTANCE The ongoing dance between a virus and its host distinctly shapes how the virus evolves. While human adenoviruses typically cause mild infections, recent reports have described newly characterized adenoviruses that cause severe, sometimes fatal human infections. Here, we report a systems biology approach to show how evolution has affected the disease potential of a recently identified novel human adenovirus. A comprehensive understanding of viral evolution and pathogenicity is essential to our capacity to foretell the potential impact on human disease for new and emerging viruses.
format article
author Christopher M. Robinson
Xiaohong Zhou
Jaya Rajaiya
Mohammad A. Yousuf
Gurdeep Singh
Joshua J. DeSerres
Michael P. Walsh
Sallene Wong
Donald Seto
David W. Dyer
James Chodosh
Morris S. Jones
author_facet Christopher M. Robinson
Xiaohong Zhou
Jaya Rajaiya
Mohammad A. Yousuf
Gurdeep Singh
Joshua J. DeSerres
Michael P. Walsh
Sallene Wong
Donald Seto
David W. Dyer
James Chodosh
Morris S. Jones
author_sort Christopher M. Robinson
title Predicting the Next Eye Pathogen: Analysis of a Novel Adenovirus
title_short Predicting the Next Eye Pathogen: Analysis of a Novel Adenovirus
title_full Predicting the Next Eye Pathogen: Analysis of a Novel Adenovirus
title_fullStr Predicting the Next Eye Pathogen: Analysis of a Novel Adenovirus
title_full_unstemmed Predicting the Next Eye Pathogen: Analysis of a Novel Adenovirus
title_sort predicting the next eye pathogen: analysis of a novel adenovirus
publisher American Society for Microbiology
publishDate 2013
url https://doaj.org/article/d22af2d76bcc4ef7a438eff26d3f60b1
work_keys_str_mv AT christophermrobinson predictingthenexteyepathogenanalysisofanoveladenovirus
AT xiaohongzhou predictingthenexteyepathogenanalysisofanoveladenovirus
AT jayarajaiya predictingthenexteyepathogenanalysisofanoveladenovirus
AT mohammadayousuf predictingthenexteyepathogenanalysisofanoveladenovirus
AT gurdeepsingh predictingthenexteyepathogenanalysisofanoveladenovirus
AT joshuajdeserres predictingthenexteyepathogenanalysisofanoveladenovirus
AT michaelpwalsh predictingthenexteyepathogenanalysisofanoveladenovirus
AT sallenewong predictingthenexteyepathogenanalysisofanoveladenovirus
AT donaldseto predictingthenexteyepathogenanalysisofanoveladenovirus
AT davidwdyer predictingthenexteyepathogenanalysisofanoveladenovirus
AT jameschodosh predictingthenexteyepathogenanalysisofanoveladenovirus
AT morrissjones predictingthenexteyepathogenanalysisofanoveladenovirus
_version_ 1718427731483426816