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Whole Genome Sequencing and Evolutionary Analysis of Human Papillomavirus Type 16 in Central China

Overview of attention for article published in PLOS ONE, May 2012
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Title
Whole Genome Sequencing and Evolutionary Analysis of Human Papillomavirus Type 16 in Central China
Published in
PLOS ONE, May 2012
DOI 10.1371/journal.pone.0036577
Pubmed ID
Authors

Min Sun, Lei Gao, Ying Liu, Yiqiang Zhao, Xueqian Wang, Yaqi Pan, Tao Ning, Hong Cai, Haijun Yang, Weiwei Zhai, Yang Ke

Abstract

Human papillomavirus type 16 plays a critical role in the neoplastic transformation of cervical cancers. Molecular variants of HPV16 existing in different ethnic groups have shown substantial phenotypic differences in pathogenicity, immunogenicity and tumorigenicity. In this study, we sequenced the entire HPV16 genome of 76 isolates originated from Anyang, central China. Phylogenetic analysis of these sequences identified two major variants of HPV16 in the Anyang area, namely the European prototype (E(p)) and the European Asian type (E(As)). These two variants show a high degree of divergence between groups, and the E(p) comprised higher genetic diversity than the E(As). Analysis with two measurements of genetic diversity indicated that viral population size was relatively stable in this area in the past. Codon based likelihood models revealed strong statistical support for adaptive evolution acting on the E6 gene. Bayesian analysis identified several important amino acid positions that may be driving adaptive selection in the HPV 16 population, including R10G, D25E, L83V, and E113D in the E6 gene. We hypothesize that the positive selection at these codons might be a contributing factor responsible for the phenotypic differences in carcinogenesis and immunogenicity among cervical cancers in China based on the potential roles of these molecular variants reported in other studies.

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The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
United States 1 2%
Singapore 1 2%
Unknown 55 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 19%
Student > Ph. D. Student 8 14%
Student > Bachelor 7 12%
Student > Master 7 12%
Student > Doctoral Student 6 10%
Other 10 17%
Unknown 9 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 16 28%
Biochemistry, Genetics and Molecular Biology 14 24%
Medicine and Dentistry 5 9%
Environmental Science 2 3%
Immunology and Microbiology 2 3%
Other 6 10%
Unknown 13 22%