title: Analysis of adaptive evolution in Lyssavirus genomes reveals pervasive diversifying selection during species diversification.
abstract: Lyssavirus is a diverse genus of viruses that infect a variety of mammalian hosts, typically causing encephalitis. The evolution of this lineage, particularly the rabies virus, has been a focus of research because of the extensive occurrence of cross-species transmission, and the distinctive geographical patterns present throughout the diversification of these viruses. Although numerous studies have examined pattern-related questions concerning Lyssavirus evolution, analyses of the evolutionary processes acting on Lyssavirus diversification are scarce. To clarify the relevance of positive natural selection in Lyssavirus diversification, we conducted a comprehensive scan for episodic diversifying selection across all lineages and codon sites of the five coding regions in lyssavirus genomes. Although the genomes of these viruses are generally conserved, the glycoprotein (G), RNA-dependent RNA polymerase (L) and polymerase (P) genes were frequently targets of adaptive evolution during the diversification of the genus. Adaptive evolution is particularly manifest in the glycoprotein gene, which was inferred to have experienced the highest density of positively selected codon sites along branches. Substitutions in the L gene were found to be associated with the early diversification of phylogroups. A comparison between the number of positively selected sites inferred along the branches of RABV population branches and Lyssavirus intespecies branches suggested that the occurrence of positive selection was similar on the five coding regions of the genome in both groups.
authors.affiliation: Department of Genetics, Federal University of Rio de Janeiro, CEP: 21941-617, Brazil. carolvoloch@gmail.com.
authors.forename: Carolina M
authors.initials: CM
authors.lastname: Voloch
authors.affiliation: Department of Genetics, Federal University of Rio de Janeiro, CEP: 21941-617, Brazil. renatacapellao@gmail.com.
authors.forename: Renata T
authors.initials: RT
authors.lastname: Capellão
authors.affiliation: Department of Genetics, Federal University of Rio de Janeiro, CEP: 21941-617, Brazil. biaumello@gmail.com.
authors.forename: Beatriz
authors.initials: B
authors.lastname: Mello
authors.affiliation: Department of Genetics, Federal University of Rio de Janeiro, CEP: 21941-617, Brazil. carlos.schrago@gmail.com.
authors.forename: Carlos G
authors.initials: CG
authors.lastname: Schrago
mesh_terms: D000220:Adaptation, Biological; D016000:Cluster Analysis; D019295:Computational Biology; D019143:Evolution, Molecular; D014644:Genetic Variation; D018114:Lyssavirus / Q000235:genetics*; D010802:Phylogeny; D012641:Selection, Genetic; D017422:Sequence Analysis, DNA; D014764:Viral Proteins / Q000235:genetics
chemical_list: D014764:Viral Proteins