2015
DOI: 10.1038/srep13806
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Molecular Evolution of the Capsid Gene in Norovirus Genogroup I

Abstract: We studied the molecular evolution of the capsid gene in all genotypes (genotypes 1–9) of human norovirus (NoV) genogroup I. The evolutionary time scale and rate were estimated by the Bayesian Markov chain Monte Carlo (MCMC) method. We also performed selective pressure analysis and B-cell linear epitope prediction in the deduced NoV GI capsid protein. Furthermore, we analysed the effective population size of the virus using Bayesian skyline plot (BSP) analysis. A phylogenetic tree by MCMC showed that NoV GI di… Show more

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Cited by 21 publications
(28 citation statements)
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“…We attempted to identify positive and negative selection sites using all methods described in previous reports (Botosso et al, 2009;Kobayashi et al, 2015;Nagasawa et al, 2015). No…”
Section: Positive and Negative Selection Site Analysesmentioning
confidence: 99%
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“…We attempted to identify positive and negative selection sites using all methods described in previous reports (Botosso et al, 2009;Kobayashi et al, 2015;Nagasawa et al, 2015). No…”
Section: Positive and Negative Selection Site Analysesmentioning
confidence: 99%
“…Four different methods were used: the single likelihood ancestor (SLAC) method, the fixed effects likelihood (FEL) method, the internal fixed effects likelihood (IFEL) method, and the mixed effects model of evolution (MEME; Kobayashi et al, 2015).…”
Section: Positive and Negative Selection Site Analysesmentioning
confidence: 99%
See 1 more Smart Citation
“…Amino acid substitutions within the G gene 3rd hypervariable region under positive and negative selection pressure for central Vietnam RSV-A NA1 and ON1 strains were estimated by calculating synonymous (dS) and non-synonymous (dN) substitution rates at every codon with Datamonkey (http://www.datamonkey.org/) (Pond and Frost, 2005 (Kobayashi et al, 2015). In the selection pressure analyses, p-values less than 0.05 were considered to be statistically significant (Kimura et al, 2015;Kobayashi et al, 2015).…”
Section: Positive and Negative Selection Pressure Analysesmentioning
confidence: 99%
“…1/1000 (Jünemann et al, 2013), it is extremely improbable to find multiple mutations in a single read. The natural genetic diversity of NoVs has been studied previously within individual patients (Nilsson et al, 2003;Obara et al, 2008;Vega et al, 2014), within defined outbreaks (Dingle, 2004;Holzknecht et al, 2015;Sasaki et al, 2006), or at larger geographic and temporal scales (Bodhidatta et al, 2015;Carlsson et al, 2009;Cotten et al, 2014;Kobayashi et al, 2015;Vega et al, 2014). However, this diversity depends on multiple factors other than spontaneous mutation rates, including natural selection, the number of replication rounds elapsed and random genetic drift, among others.…”
Section: Introductionmentioning
confidence: 99%