An evolutionary insight into emerging Ebolavirus strains isolated in Africa.

On July 19, 2019, the World Health Organization declared the current Ebolavirus (EBOV) outbreak in Congo Democratic Republic (COD) a public health emergency of international concern. To address the potential threat of EBOV evolution outpacing antibody treatment and vaccine efforts, a detailed evolutionary analysis of EBOV strains circulating in different African countries was performed. Genome composition of EBOV strains was studied using multivariate statistical analysis. To investigate the patterns of evolution of EBOV strains, a Bayesian Markov Chain Monte Carlo approach was used. Two different genetic lineages, with a distinct genome composition gave rise to the recent EBOV outbreaks in central and western Africa. Strains isolated in COD in 2018 fall into two different genetic clusters, according to their geographical location of isolation. Different amino acid substitutions among strains from these two clusters have been found, particularly in NP, GP, and L proteins. Significant differences in codon and amino acid usage among clusters were found. Strains isolated in COD in 2018 belong to two distinct genetic clusters, with distinct codon and amino acid usage. Geographical diversity plays an important role in shaping the molecular evolution of EBOV populations.

Evidence of increasing diversification of Zika virus strains isolated in the American continent.

Zika virus (ZIKV) is a member of the family Flaviviridae. ZIKV emerged in Brazil in 2015, causing an unprecedented epidemic and since then the virus has rapidly spread throughout the Americas. These facts highlight the need of detailed phylogenetic studies to understand the emergence, spread, and evolution of ZIKV populations. For these reasons, a Bayesian coalescent Markov Chain Monte Carlo analysis of complete genome sequences of ZIKV strains recently isolated in the American continent was performed. The results of these studies revealed an increasing diversification of ZIKV strains in different genetic lineages and co-circulation of distinct genetic lineages in several countries in the region. The time of the most recent common ancestor (tMRCA) was established to be around February 20, 2014 for ZIKV strains circulating in the American region. A mean rate of evolution of 1.55 × 10-3 substitutions/site/year was obtained for ZIKV strains included in this study. A Bayesian skyline plot indicate a sharp increase in population size from February 2014 to July 2015 and a decline during 2016. These results are discussed in terms of the emergence and evolution of ZIKV populations in the American continent.

Bayesian coalescent inference reveals high evolutionary rates and diversification of Zika virus populations.

Zika virus (ZIKV) is a member of the family Flaviviridae. In 2015, ZIKV triggered an epidemic in Brazil and spread across Latin America. By May of 2016, the World Health Organization warns over spread of ZIKV beyond this region. Detailed studies on the mode of evolution of ZIKV strains are extremely important for our understanding of the emergence and spread of ZIKV populations. In order to gain insight into these matters, a Bayesian coalescent Markov Chain Monte Carlo analysis of complete genome sequences of recently isolated ZIKV strains was performed. The results of these studies revealed a mean rate of evolution of 1.20 × 10(-3) nucleotide substitutions per site per year (s/s/y) for ZIKV strains enrolled in this study. Several variants isolated in China are grouped together with all strains isolated in Latin America. Another genetic group composed exclusively by Chinese strains were also observed, suggesting the co-circulation of different genetic lineages in China. These findings indicate a high level of diversification of ZIKV populations. Strains isolated from microcephaly cases do not share amino acid substitutions, suggesting that other factors besides viral genetic differences may play a role for the proposed pathogenesis caused by ZIKV infection. J. Med. Virol. 88:1672-1676, 2016. © 2016 Wiley Periodicals, Inc.

High diversity of hepatitis B virus genotypes in Panamanian blood donors: a molecular analysis of new variants.

Hepatitis B Virus (HBV) is an infectious agent that causes more than half of the cases of liver disease and cancer in the world. Globally there are around 250 million people chronically infected with this virus. Despite 16% of the cases of liver disease in Central America are caused by HBV, the information regarding its genetic diversity, genotypes and circulation is scarce. The purpose of this study was to evaluate the genetic variability of the HBV genotypes from HBV-DNA positive samples obtained from screening blood donors at the Social Security System of Panama and to estimate its possible origin. From 59,696 blood donors tested for HBV infection during 2010-2012, there were 74 HBV-DNA positive subjects. Analysis of the partial PreS2-S region of 27 sequences shows that 21% of the infections were caused by genotype A, 3% by genotype D and 76% by genotype F. In addition, we were able to confirm circulation of six sub-genotypes A1, A2, A3, D4, F3, F1 and a proposed new sub-genotype denominated F5pan. We found a confinement of sub-genotypes F1 and F5pan to the western area of Panama. The tMRCA analysis suggests a simultaneous circulation of previously described sub-genotypes rather than recent introductions of the Panamanian sub-genotypes in the country. Moreover, these results highlight the need of more intensive research of the HBV strains circulating in the region at the molecular level. In conclusion, Panama has a high HBV genotype diversity that includes a new proposed sub-genotype, an elevated number of PreCore-Core mutations, and confinement of these variants in a specific geographical location.

Bayesian coalescent analysis of pandemic H1N1 influenza A virus circulating in the South American region.

The first influenza pandemic of this century was declared in April of 2009, with the emergence of a novel H1N1 influenza A virus strain (H1N1pdm). Understanding the evolution of H1N1pdm populations within the South American region is essential for studying global diversification, emergence, resistance and vaccine efficacy. In order to gain insight into these matters, we have performed a Bayesian coalescent Markov Chain Monte Carlo analysis of hemagglutinin (HA) and neuraminidase (NA) gene sequences of all available and comparable HA and NA sequences obtained from H1N1pdm IAV circulating in the South American region. High evolutionary rates and fast population growths characterize the population dynamics of H1N1pdm strains in this region of the world. A significant contribution of first codon position to the mean evolutionary rate was found for both genes studied, revealing a high contribution of non-synonymous substitutions to the mean substitution rate. In the 178days period covered by these studies, substitutions in all HA epitope regions can be observed. HA substitutions D239G/N and Q310H have been observed only in Brazilian patients. While substitution D239G/N is not particularly associated to a specific genetic lineage, all strains bearing substitution Q310H were assigned to clade 6, suggesting a founder effect. None of the substitutions found in the NA proteins of H1N1pdm strains isolated in South America appears sufficiently close to affect the drug binding pocket for the three NA inhibitor antivirals tested. A more detailed analysis of NA proteins revealed epitope differences among 2010 vaccine and H1N1pdm IAV strains circulating in the South American region.

Bayesian coalescent inference reveals high evolutionary rates and expansion of Norovirus populations.

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.

Bayesian coalescent inference of hepatitis A virus populations: evolutionary rates and patterns.

Hepatitis A virus (HAV) is a hepatotropic member of the family Picornaviridae. Previous studies suggested that HAV may evolve more slowly than other members of the family. To estimate HAV substitution rates precisely, we used a Bayesian Markov chain Monte Carlo (MCMC) approach on temporally sampled HAV VP1 full-length sequences from strains isolated in France. A mean rate of evolutionary change of 9.76 x 10(-4) nucleotide substitution per site per year was found. The results also revealed that the synonymous rate found for HAV is lower than that of other members of the family. Bayesian skyline plots revealed a sharp decline in the effective number of infections in 1996, coinciding with the introduction of HAV vaccine.