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Molecular Evolution of the RNA-Dependent RNA Polymerase and Capsid Genes of Human Norovirus Genotype GII.2 in Japan during 2004–2015

Overview of attention for article published in Frontiers in Microbiology, April 2017
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Title
Molecular Evolution of the RNA-Dependent RNA Polymerase and Capsid Genes of Human Norovirus Genotype GII.2 in Japan during 2004–2015
Published in
Frontiers in Microbiology, April 2017
DOI 10.3389/fmicb.2017.00705
Pubmed ID
Authors

Fuminori Mizukoshi, Koo Nagasawa, Yen H. Doan, Kei Haga, Shima Yoshizumi, Yo Ueki, Michiyo Shinohara, Mariko Ishikawa, Naomi Sakon, Naoki Shigemoto, Reiko Okamoto-Nakagawa, Akie Ochi, Koichi Murakami, Akihide Ryo, Yoshiyuki Suzuki, Kazuhiko Katayama, Hirokazu Kimura

Abstract

The RNA-dependent RNA polymerase (RdRp) and capsid (VP1) genes of 51 GII.2 human norovirus (HuNoV) strains collected during the period of 2004-2015 in Japan were analyzed. Full-length analyses of the genes were performed using next-generation sequencing. Based on the gene sequences, we constructed the time-scale evolutionary trees by Bayesian Markov chain Monte Carlo methods. Time-scale phylogenies showed that the RdRp and VP1 genes evolved uniquely and independently. Four genotypes of GII.2 (major types: GII.P2-GII.2 and GII.P16-GII.2) were detected. A common ancestor of the GII.2 VP1 gene existed until about 1956. The evolutionary rates of the genes were high (over 10(-3) substitutions/site/year). Moreover, the VP1 gene evolution may depend on the RdRp gene. Based on these results, we hypothesized that transfer of the RdRp gene accelerated the VP1 gene evolution of HuNoV genotype GII.2. Consequently, recombination between ORF1 (polymerase) and ORF2 (capsid) might promote changes of GII.2 antigenicity.

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The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 3 18%
Other 2 12%
Student > Doctoral Student 2 12%
Professor 2 12%
Student > Master 2 12%
Other 1 6%
Unknown 5 29%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 6 35%
Agricultural and Biological Sciences 2 12%
Immunology and Microbiology 2 12%
Unknown 7 41%