Bayesian coalescent inference reveals high evolutionary rates and expansion of Norovirus populations
INFECTION GENETICS AND EVOLUTION
Authors: Victoria, Matias; Miagostovich, Marize Pereira; Rocha Ferreira, Monica Simoes; Vieira, Carmen Baur; Fioretti, Julia Monassa; Leite, Jose Paulo G.; Colina, Rodney; Cristina, Juan
Abstract
Noroviruses (NoV) are a leading cause of outbreaks of nonbacterial acute gastroenteritis in humans worldwide and have become an important cause of hospitalization of children in South America. NoV belong to the family Caliciviridae and are non-enveloped single stranded, positive sense, RNA viruses. NoV of genotype GII/4 have emerged worldwide, causing four epidemic seasons of viral gastroenteritis during which four novel variants emerged. Despite the importance of NoV outbreaks, little is known about the evolutionary rates, viral spread and population dynamics of NoV populations. In order to gain insight into these matters, a Bayesian Markov chain Monte Carlo (MCMC) approach was used to analyze region D or full-length VP1 gene sequences of GII/4 NoV populations isolated in Brazil or Japan, respectively. The results of these studies revealed that the expansion population growth model was the best to fit the data in both datasets. The dates of the most common recent ancestors revealed that these viruses can quickly emerge in a geographical location. A mean evolutionary rate of 1.21 X 10(-2) nucleotide substitution/site/year (s/s/y) was obtained for the VP1 gene using full-length sequences. This rate is higher than the rates reported for other rapidly evolving RNA. Roughly similar rates (1.44 x 10(-2) S/S/y) were found using region D sequences, revealing the suitability of this region for evolutionary studies, in agreement with previous reports. High evolutionary rates and fast population growth may have contributed to the vigorous initial transmission dynamics of the GII/4 NoV populations studied. (C) 2009 Elsevier B.V. All rights reserved.
Changes in the distribution of lineage constellations of G2P[4] Rotavirus A strains detected in Japan over 32 years (1980-2011)
INFECTION GENETICS AND EVOLUTION
Authors: Doan, Yen Hai; Nakagomi, Toyoko; Agbemabiese, Chantal Ama; Nakagomi, Osamu
Abstract
Rotavirus A (RVA) is a leading cause of acute gastroenteritis in young children worldwide. Most human RVA strains are classified into three major genotype constellations: Wa-like, DS-1-like and AU-1-like. The evolution of G2P[4] strains possessing the DS-1-like genetic background was described in a few recent studies. However, the strains analyzed in these studies were almost exclusively the ones detected after 2000. In recognition of the scarcity of G2P[4] strains detected before 2000 for which whole genome information was available, this study was undertaken to characterize 19 Japanese G2P[4] strains detected between 1983 and 1990 (14 strains) and between 2001 and 2011 (5 strains), and to compare them with 131 G2P[4] strains from across the world. The Japanese strains along with the strains elsewhere in the world underwent stepwise changes from lineage I to IVa in 5 genes (the VP7, VP4, VP2, NSP1 and NSP5 genes) and from lineage I to V in 6 genes (the VP6, VP1, VP3, NSP2, NSP3 and NSP4 genes). Furthermore, G2P[4] strains detected after 2004 appeared to have undergone further intragenotype reassortment, resulting in the emergence of lineage V in the VP7 gene, and VI and VII in the VP3 and NSP4 genes. The time of the most recent common ancestor (tMRCA) for the emergent lineages VI and VII was estimated to be around the early 2000s. However, the year when the ancestor of the emergent lineages diverged from that of the rest of the lineages in the respective genes preceded the tMRCA 8090 years. The origin of the emergent lineages is likely to be human RVA strains possessing genotypes other than G2P[4], and not RVA strains of an animal origin. In conclusion, stepwise changes in lineages imparted new genomic constellations to G2P[4] strains, which appears to have contributed to their successful spread across the globe, most notably since 2004. (C) 2015 Elsevier B.V. All rights reserved.