Predicting reservoir hosts and arthropod vectors from evolutionary signatures in RNA virus genomes

Babayan, S. A. , Orton, R. J. and Streicker, D. G. (2018) Predicting reservoir hosts and arthropod vectors from evolutionary signatures in RNA virus genomes. Science, 362(6414), pp. 577-580. (doi:10.1126/science.aap9072) (PMID:30385576)

Babayan, S. A. , Orton, R. J. and Streicker, D. G. (2018) Predicting reservoir hosts and arthropod vectors from evolutionary signatures in RNA virus genomes. Science, 362(6414), pp. 577-580. (doi:10.1126/science.aap9072) (PMID:30385576)

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Abstract

Identifying the animal origins of RNA viruses requires years of field and laboratory studies that stall responses to emerging infectious diseases. Using large genomic and ecological datasets, we demonstrate that animal reservoirs and the existence and identity of arthropod vectors can be predicted directly from viral genome sequences via machine learning. We illustrate the ability of these models to predict the epidemiology of diverse viruses across most human-infective families of single-stranded RNA viruses, including 69 viruses with previously elusive or never-investigated reservoirs or vectors. Models such as these, which capitalize on the proliferation of low-cost genomic sequencing, can narrow the time lag between virus discovery and targeted research, surveillance, and management.

Item Type:Articles
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Streicker, Dr Daniel and Babayan, Dr Simon and Orton, Dr Richard
Authors: Babayan, S. A., Orton, R. J., and Streicker, D. G.
College/School:College of Medical Veterinary and Life Sciences > Institute of Biodiversity Animal Health and Comparative Medicine
College of Medical Veterinary and Life Sciences > Institute of Infection Immunity and Inflammation
Journal Name:Science
Publisher:American Association for the Advancement of Science
ISSN:0036-8075
ISSN (Online):1095-9203
Copyright Holders:Copyright © 2018 The Authors
First Published:First published in Science 362(6414): 577-580
Publisher Policy:Reproduced in accordance with the publisher copyright policy

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Project CodeAward NoProject NamePrincipal InvestigatorFunder's NameFunder RefLead Dept
634192Managing viral emergence at the interface of bats and livestockDaniel StreickerWellcome Trust (WELLCOTR)102507/Z/13/ZRI BIODIVERSITY ANIMAL HEALTH & COMPMED