The Bayesian reconstruction and the evolutionary history of Salivirus type 1 and type 2: the worldwide spreading

  • Silvia Angeletti Unit of Clinical Laboratory Science, University Campus Bio-Medico of Rome, Italy
  • Domenico Benvenuto Unit of Medical Statistics and Molecular Epidemiology, University Campus Bio-Medico of Rome, Italy
  • Marta Fogolari Unit of Clinical Laboratory Science, University Campus Bio-Medico of Rome, Italy
  • Cecilia De Flora Unit of Medical Statistics and Molecular Epidemiology, University Campus Bio-Medico of Rome, Italy
  • Giancarlo Ceccarelli Department of Public Health and Infectious Diseases, University of Rome, “Sapienza”, Policlinico “Umberto I”, Rome, Italy
  • Ivana Maida Department of Medical, Surgical and Experimental Sciences Infectious Diseases, University of Sassari, Italy
  • Riccardo Bazzardi Controllo Microbiologico e Ispezione degli Alimenti, Istituto Zooprofilattico Sperimentale della Sardegna “G. Pegreffi”, Sassari, Italy
  • Silvia Spoto 7Diagnostic and Therapeutic Medicine Department, University Campus Bio-Medico of Rome, Rome, Italy
  • Stefano Pascarella Department of Biochemical Science “A. Rossi Fanelli”, Sapienza University, Rome, Italy
  • Boban Mugosa Institute of Public Health, Podgorica, Montenegro
  • Massimo Ciccozzi Unit of Medical Statistics and Molecular Epidemiology, University Campus Bio-Medico of Rome, Italy
Keywords: Salivirus, Bayesian analysis, evolutionary analysis, homology modelling

Abstract

Introduction: Salivirus (SalV) represents an emerging problem in public health especially during the recent years. In this study, the Bayesian evolutionary history and the spread of the virus through the different countries have been reported.

Methodology: a database of 81 sequences of SalV structural VP1 fragment were downloaded from GenBank, aligned and manually edited by Bioedit Software. ModelTest v. 3.7 software was used to estimate the simplest evolutionary model fitting the sequence dataset. A Maximum-Likelihood tree has been generated using MEGA-X to test the “clockliness” signal using TempEst 1.5.1. The Bayesian phylogenetic tree was built by BEAST. Homology modelling was performed by SWISS-Model and protein variability evaluated by ConSurf server.

Results: the phylogenetic tree showed a clade of SalV A2 and three main clades of SalV A1, revealing several infections in humans in South Korea, India, Tunisia, China, Nigeria, Ethiopia and USA. The Bayesian maximum clade credibility tree and the time of the most common recent ancestor dated back the root of the tree to the year 1788 with the probable origin in USA. Selective pressure analysis revealed two positive selection sites, His at 100th and Leu at 116th positions that at the homology modelling resulted important to guarantee protein stability and variability. This could contribute to the development of new mutations modifying the clinical features of this evolving virus.

Conclusions: Bayesian phylogenetic and phylodynamic represented a useful tool to follow the transmission dynamic of SalV and to prevent new epidemics worldwide.

Published
2021-03-07
How to Cite
1.
Angeletti S, Benvenuto D, Fogolari M, De Flora C, Ceccarelli G, Maida I, Bazzardi R, Spoto S, Pascarella S, Mugosa B, Ciccozzi M (2021) The Bayesian reconstruction and the evolutionary history of Salivirus type 1 and type 2: the worldwide spreading. J Infect Dev Ctries 15:280-288. doi: 10.3855/jidc.12141
Section
Original Articles

Most read articles by the same author(s)