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      Evolution and Taxonomic Classification of Human Papillomavirus 16 (HPV16)-Related Variant Genomes: HPV31, HPV33, HPV35, HPV52, HPV58 and HPV67

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          Abstract

          Background

          Human papillomavirus 16 (HPV16) species group (alpha-9) of the Alphapapillomavirus genus contains HPV16, HPV31, HPV33, HPV35, HPV52, HPV58 and HPV67. These HPVs account for 75% of invasive cervical cancers worldwide. Viral variants of these HPVs differ in evolutionary history and pathogenicity. Moreover, a comprehensive nomenclature system for HPV variants is lacking, limiting comparisons between studies.

          Methods

          DNA from cervical samples previously characterized for HPV type were obtained from multiple geographic regions to screen for novel variants. The complete 8 kb genomes of 120 variants representing the major and minor lineages of the HPV16-related alpha-9 HPV types were sequenced to capture maximum viral heterogeneity. Viral evolution was characterized by constructing phylogenic trees based on complete genomes using multiple algorithms. Maximal and viral region specific divergence was calculated by global and pairwise alignments. Variant lineages were classified and named using an alphanumeric system; the prototype genome was assigned to the A lineage for all types.

          Results

          The range of genome-genome sequence heterogeneity varied from 0.6% for HPV35 to 2.2% for HPV52 and included 1.4% for HPV31, 1.1% for HPV33, 1.7% for HPV58 and 1.1% for HPV67. Nucleotide differences of approximately 1.0% - 10.0% and 0.5%–1.0% of the complete genomes were used to define variant lineages and sublineages, respectively. Each gene/region differs in sequence diversity, from most variable to least variable: noncoding region 1 (NCR1) /noncoding region 2 (NCR2) >upstream regulatory region (URR)> E6/E7 > E2/L2 > E1/L1.

          Conclusions

          These data define maximum viral genomic heterogeneity of HPV16-related alpha-9 HPV variants. The proposed nomenclature system facilitates the comparison of variants across epidemiological studies. Sequence diversity and phylogenies of this clinically important group of HPVs provides the basis for further studies of discrete viral evolution, epidemiology, pathogenesis and preventative/therapeutic interventions.

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          Most cited references53

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          MRBAYES: Bayesian inference of phylogenetic trees.

          The program MRBAYES performs Bayesian inference of phylogeny using a variant of Markov chain Monte Carlo. MRBAYES, including the source code, documentation, sample data files, and an executable, is available at http://brahms.biology.rochester.edu/software.html.
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            Human papillomavirus type distribution in invasive cervical cancer and high-grade cervical lesions: a meta-analysis update.

            Data on human papillomavirus (HPV) type distribution in invasive and pre-invasive cervical cancer is essential to predict the future impact of HPV16/18 vaccines and HPV-based screening tests. A meta-analyses of HPV type distribution in invasive cervical cancer (ICC) and high-grade squamous intraepithelial lesions (HSIL) identified a total of 14,595 and 7,094 cases, respectively. In ICC, HPV16 was the most common, and HPV18 the second most common, type in all continents. Combined HPV16/18 prevalence among ICC cases was slightly higher in Europe, North America and Australia (74-77%) than in Africa, Asia and South/Central America (65-70%). The next most common HPV types were the same in each continent, namely HPV31, 33, 35, 45, 52 and 58, although their relative importance differed somewhat by region. HPV18 was significantly more prevalent in adeno/adenosquamous carcinoma than in squamous cell carcinoma, with the reverse being true for HPV16, 31, 33, 52 and 58. Among HSIL cases, HPV16/18 prevalence was 52%. However, HPV 16, 18 and 45 were significantly under-represented, and other high-risk HPV types significantly over-represented in HSIL compared to ICC, suggesting differences in type-specific risks for progression. Data on HPV-typed ICC and HSIL cases were particularly scarce from large regions of Africa and Central Asia. Copyright (c) 2007 Wiley-Liss, Inc.
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              SEAVIEW and PHYLO_WIN: two graphic tools for sequence alignment and molecular phylogeny.

              SEAVIEW and PHYLO_WIN are two graphic tools for X Windows-Unix computers dedicated to sequence alignment and molecular phylogenetics. SEAVIEW is a sequence alignment editor allowing manual or automatic alignment through an interface with CLUSTALW program. Alignment of large sequences with extensive length differences is made easier by a dot-plot-based routine. The PHYLO_WIN program allows phylogenetic tree building according to most usual methods (neighbor joining with numerous distance estimates, maximum parsimony, maximum likelihood), and a bootstrap analysis with any of them. Reconstructed trees can be drawn, edited, printed, stored, evaluated according to numerous criteria. Taxonomic species groups and sets of conserved regions can be defined by mouse and stored into sequence files, thus avoiding multiple data files. Both tools are entirely mouse driven. On-line help makes them easy to use. They are freely available by anonymous ftp at biom3.univ-lyon1.fr/pub/ mol_phylogeny or http:@acnuc.univ-lyon1.fr/, or by e-mail to galtier@biomserv.univ-lyon1.fr.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, USA )
                1932-6203
                2011
                27 May 2011
                02 June 2011
                : 6
                : 5
                : e20183
                Affiliations
                [1 ]Department of Microbiology and Immunology, Albert Einstein College of Medicine, Bronx, New York, United States of America
                [2 ]Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, United States of America
                [3 ]Proyecto Epidemiologica Guanacaste, Fundación INCIENSA, San José, Costa Rica
                [4 ]Sackler Institute of Comparative Genomics, American Museum of Natural History, Bronx, New York, United States of America
                [5 ]Department of Medicine, Montefiore Medical Center, Bronx, New York, United States of America
                [6 ]Department of Biology and Pathology, Montpellier University Hospital, Montpellier, France
                [7 ]Institute for Global Health, Vanderbilt University, Nashville, Tennessee, United States of America
                [8 ]Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America
                [9 ]Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, New York, United States of America
                [10 ]Department of Obstetrics, Gynecology and Women's Health, Albert Einstein College of Medicine, Bronx, New York, United States of America
                [11 ]Department of Pediatrics, Albert Einstein College of Medicine, Bronx, New York, United States of America
                Tsan Yuk Hospital, Hospital Authority, China
                Author notes

                Conceived and designed the experiments: ZC RDB. Performed the experiments: ZC. Analyzed the data: ZC RD RDB. Contributed reagents/materials/analysis tools: M. Schiffman RH RD KA M. Segondy VVS PEG AWH. Wrote the paper: ZC RDB.

                Article
                PONE-D-11-01624
                10.1371/journal.pone.0020183
                3103539
                21673791
                02b7a5ff-c38d-482a-9be9-872842a2ba5f
                This is an open-access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 public domain dedication.
                History
                : 18 January 2011
                : 23 April 2011
                Page count
                Pages: 16
                Categories
                Research Article
                Biology
                Computational Biology
                Evolutionary Modeling
                Evolutionary Biology
                Evolutionary Genetics
                Evolutionary Systematics
                Microbiology
                Virology
                Viral Evolution
                Viruses and Cancer
                Pathogenesis
                Population Biology
                Epidemiology
                Genetic Epidemiology
                Infectious Disease Epidemiology
                Medicine
                Epidemiology
                Cancer Epidemiology
                Genetic Epidemiology
                Infectious Disease Epidemiology
                Infectious Diseases
                Sexually Transmitted Diseases
                Human Papillomavirus Infection
                Viral Diseases
                Human Papillomavirus Infection
                Obstetrics and Gynecology
                Genitourinary Infections
                Human Papillomavirus Infection
                Oncology
                Cancers and Neoplasms
                Gynecological Tumors
                Cervical Cancer

                Uncategorized
                Uncategorized

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