Consensus nested PCR amplification and sequencing of diverse reptilian, avian, and mammalian orthoreoviruses
Autor: | April J. Johnson, James F. X. Wellehan, Elaine W. Lamirande, April L. Childress, Mary L. Vickers, John F. Roberts, Elliott R. Jacobson, Rachel E. Marschang, Gaskin Jm |
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Rok vydání: | 2008 |
Předmět: |
food.ingredient
Nelson Bay virus viruses Orthoreovirus Avian Consensus PCR Molecular Sequence Data Orthoreovirus Mammalian Reoviridae Genome Viral Microbiology Polymerase Chain Reaction Birds food Species Specificity Phylogenetics Aquareovirus Animals Cluster Analysis Amino Acid Sequence Orthoreovirus Phylogeny Mammals Likelihood Functions General Veterinary biology Phylogenetic tree Sequence Homology Amino Acid Gene Amplification Reptiles Bayes Theorem General Medicine biology.organism_classification Virology Reoviridae Infections Evolutionary biology RNA Viral Nested polymerase chain reaction Sequence Alignment |
Zdroj: | Veterinary microbiology. 133(1-2) |
ISSN: | 0378-1135 |
Popis: | The orthoreoviruses are segmented RNA viruses that infect diverse vertebrate host species. While the most common human orthoreovirus, Mammalian Reovirus, is not typically associated with significant disease, the majority of Orthoreovirus species have been shown to cause significant and often fatal disease in reptiles, birds, and primates. There is significant potential for jumping species. A consensus nested-PCR method was designed for investigation of the RNA-dependent RNA polymerase gene of Orthoreovirus and Aquareovirus. This protocol was used to obtain sequencing template from reoviruses of three different vertebrate classes. Bayesian and maximum likelihood phylogenetic analysis found that all viruses analyzed clustered in the genus Orthoreovirus, that reptile reoviruses formed three distinct clusters, and that an African grey parrot reovirus clustered with Nelson Bay virus from bats. This PCR method may be useful for obtaining templates for initial sequencing of novel orthoreoviruses from diverse vertebrate hosts. |
Databáze: | OpenAIRE |
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