Human Polyomavirus Related to African Green Monkey Lymphotropic Polyomavirus
- 1 August 2011
- journal article
- Published by Centers for Disease Control and Prevention (CDC) in Emerging Infectious Diseases
- Vol. 17 (8), 1364-70
- https://doi.org/10.3201/eid1708.110278
Abstract
While studying the virome of the skin surface of a patient with a Merkel cell carcinoma (MCC) by using unbiased, high-throughput sequencing, we identified a human polyomavirus nearly identical to human polyomavirus 9, a virus recently reported in blood and urine of renal transplantion patients and closely related to the African green monkey lymphotropic polyomavirus. Specific PCR analysis further identified this virus in 2/8 patients with MCC but in only 1/111 controls without MCC. This virus was shed for >20 months by the MCC index patient and was on the skin of the spouse of the index patient. These results provide information on the viral ecology of human skin and raise new questions regarding the pathology of virus-associated skin disorders.Keywords
This publication has 18 references indexed in Scilit:
- A Novel Human Polyomavirus Closely Related to the African Green Monkey-Derived Lymphotropic PolyomavirusJournal of Virology, 2011
- Discovery of a New Human Polyomavirus Associated with Trichodysplasia Spinulosa in an Immunocompromized PatientPLoS Pathogens, 2010
- Merkel Cell Polyomavirus and Two Previously Unknown Polyomaviruses Are Chronically Shed from Human SkinCell Host & Microbe, 2010
- Merkel Cell Polyomavirus in Cutaneous SwabsEmerging Infectious Diseases, 2010
- Structural evaluation of new human polyomaviruses provides clues to pathobiologyTrends in Microbiology, 2010
- SeaView Version 4: A Multiplatform Graphical User Interface for Sequence Alignment and Phylogenetic Tree BuildingMolecular Biology and Evolution, 2009
- jModelTest: Phylogenetic Model AveragingMolecular Biology and Evolution, 2008
- BEAST: Bayesian evolutionary analysis by sampling treesBMC Evolutionary Biology, 2007
- MUSCLE: multiple sequence alignment with high accuracy and high throughputNucleic Acids Research, 2004
- Two-sided confidence intervals for the single proportion: comparison of seven methodsStatistics in Medicine, 1998