Objective To investigate the genetic diversity of Zika Virus (ZIKV) and the relationships existing among these circulating viruses worldwide. To evaluate the genetic polymorphisms harbored from ZIKV that can have an influence on the virus circulation. Methods Three different ZIKV dataset were built. The first dataset included 63 E gene sequences, the second one 22 NS3 sequences and the third dataset was composed of 108 NS5 gene sequences. Phylogenetic and selective pressure analysis was performed. The edited nucleic acid alignment from the Envelope dataset was used to generate a conceptual translation to the corresponding peptide sequences through UGene software. Results The phylogeographic reconstruction was able to discriminate unambiguously that the Brazilian strains are belonged to the Asian lineage. The structural analysis reveals instead the presence of the Ser residue in the Brazilian sequences (however already observed in other previously reported ZIKV infections) that could suggest the presence of a neutralization-resistant population of viruses. Conclusions Phylogenetic, evolutionary and selective pressure analysis contributed to improve the knowledge on the circulation of ZIKV.

Objective: To evaluate the evolution of the pathogen Mayaro virus, causing Mayaro fever (a mosquito-borne disease) and to perform selective pressure analysis and homology modelling. Methods: Nine different datasets were built, one for each protein (from protein C to non-structural protein 4) and the last one for the complete genome. Selective pressure and homology modelling analyses were applied. Results: Two main clades (A and B) were pointed in the maximum likelihood tree. The clade A included five Brazilian sequences sampled from 1955 to 2015. The Brazilian sequence sampled in 2014 significantly clustered with the Haitian sequence sampled in 2015. The clade B included the remaining 27 sequences sampled in the Central and Southern America from 1957 to 2013. Selective pressure analysis revealed several sites under episodic diversifying selection in envelope surface glycoprotein E1, non-structural protein 1 and non- structural protein 3 with a posterior probability P≤0.01. Homology modelling showed different sites modified by selective pressure and some protein-protein interaction sites at high interaction propensity. Conclusion: Maximum likelihood analysis confirmed the Mayaro virus previous circulation in Haiti and the successful spread to the Caribbean and USA. Selective pressure analysis revealed a strong presence of negatively selected sites, suggesting a probable purging of deleterious polymorphisms in functional genes. Homology model showed the position 31, under selective pressure, located in the edge of the ADP-ribose binding site predicting to possess a high potential of protein-protein interaction and suggesting the possible chance for a protective vaccine, thus preventing Mayaro virus urbanization as with Chikungunya virus.

Objective: To explore the genetic diversity and the modification of antibody response in the recent outbreak of Ebola Virus. Methods: Sequences retrieved from public databases, the selective pressure analysis and the homology modeling based on the all protein (nucleoprotein, VP35, VP40, soluble glycoprotein, small soluble glycoprotein, VP30, VP24 and polymerase) were used. Results: Structural proteins VP24, VP30, VP35 and VP40 showed relative conserved sequences making them suitable target candidates for antiviral treatment. On the contrary, nucleoprotein, polymerase and soluble glycoprotein have high mutation frequency. Conclusions: Data from this study point out important aspects of Ebola virus sequence variability that for epitope and vaccine design should be considered for appropriate targeting of conserved protein regions.

Objective: To study the genetic diversity of Murray Valley encephalitis virus (MVEV) in Australia and Papua New Guinea. Methods: MVEV envelope gene sequences were aligned using Clustal X and manual editing was performed with Bioedit. ModelTest v. 3.7 was used to select the simplest evolutionary model that adequately fitted the sequence data. Maximum likelihood analysis was performed using PhyML. The phylogenetic signal of the dataset was investigated by the likelihood mapping analysis. The Bayesian phylogenetic tree was built using BEAST. Results: The phylogenetic trees showed two main clades. The clade I including eight strains isolated from West Australia. The clade II was characterized by at least four epidemic entries, three of which localized in Northern West Australia and one in Papua New Guinea. The estimated mean evolutionary rate value of the MVEV envelope gene was 0.407 × 10