Using host traits to predict reservoir host species of rabies virus.

Wildlife are important reservoirs for many pathogens, yet the role that different species play in pathogen maintenance frequently remains unknown. This is the case for rabies, a viral disease of mammals. While Carnivora (carnivores) and Chiroptera (bats) are the canonical mammalian orders known to b...

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Main Authors: Katherine E L Worsley-Tonks, Luis E Escobar, Roman Biek, Mariana Castaneda-Guzman, Meggan E Craft, Daniel G Streicker, Lauren A White, Nicholas M Fountain-Jones
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2020-12-01
Series:PLoS Neglected Tropical Diseases
Online Access:https://doi.org/10.1371/journal.pntd.0008940
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author Katherine E L Worsley-Tonks
Luis E Escobar
Roman Biek
Mariana Castaneda-Guzman
Meggan E Craft
Daniel G Streicker
Lauren A White
Nicholas M Fountain-Jones
author_facet Katherine E L Worsley-Tonks
Luis E Escobar
Roman Biek
Mariana Castaneda-Guzman
Meggan E Craft
Daniel G Streicker
Lauren A White
Nicholas M Fountain-Jones
author_sort Katherine E L Worsley-Tonks
collection DOAJ
description Wildlife are important reservoirs for many pathogens, yet the role that different species play in pathogen maintenance frequently remains unknown. This is the case for rabies, a viral disease of mammals. While Carnivora (carnivores) and Chiroptera (bats) are the canonical mammalian orders known to be responsible for the maintenance and onward transmission of rabies Lyssavirus (RABV), the role of most species within these orders remains unknown and is continually changing as a result of contemporary host shifting. We combined a trait-based analytical approach with gradient boosting machine learning models to identify physiological and ecological host features associated with being a reservoir for RABV. We then used a cooperative game theory approach to determine species-specific traits associated with known RABV reservoirs. Being a carnivore reservoir for RABV was associated with phylogenetic similarity to known RABV reservoirs, along with other traits such as having larger litters and earlier sexual maturity. For bats, location in the Americas and geographic range were the most important predictors of RABV reservoir status, along with having a large litter. Our models identified 44 carnivore and 34 bat species that are currently not recognized as RABV reservoirs, but that have trait profiles suggesting their capacity to be or become reservoirs. Further, our findings suggest that potential reservoir species among bats and carnivores occur both within and outside of areas with current RABV circulation. These results show the ability of a trait-based approach to detect potential reservoirs of infection and could inform rabies control programs and surveillance efforts by identifying the types of species and traits that facilitate RABV maintenance and transmission.
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spelling doaj.art-fa6ca36d2be7480c9ee6ce0570c960272022-12-22T01:35:55ZengPublic Library of Science (PLoS)PLoS Neglected Tropical Diseases1935-27271935-27352020-12-011412e000894010.1371/journal.pntd.0008940Using host traits to predict reservoir host species of rabies virus.Katherine E L Worsley-TonksLuis E EscobarRoman BiekMariana Castaneda-GuzmanMeggan E CraftDaniel G StreickerLauren A WhiteNicholas M Fountain-JonesWildlife are important reservoirs for many pathogens, yet the role that different species play in pathogen maintenance frequently remains unknown. This is the case for rabies, a viral disease of mammals. While Carnivora (carnivores) and Chiroptera (bats) are the canonical mammalian orders known to be responsible for the maintenance and onward transmission of rabies Lyssavirus (RABV), the role of most species within these orders remains unknown and is continually changing as a result of contemporary host shifting. We combined a trait-based analytical approach with gradient boosting machine learning models to identify physiological and ecological host features associated with being a reservoir for RABV. We then used a cooperative game theory approach to determine species-specific traits associated with known RABV reservoirs. Being a carnivore reservoir for RABV was associated with phylogenetic similarity to known RABV reservoirs, along with other traits such as having larger litters and earlier sexual maturity. For bats, location in the Americas and geographic range were the most important predictors of RABV reservoir status, along with having a large litter. Our models identified 44 carnivore and 34 bat species that are currently not recognized as RABV reservoirs, but that have trait profiles suggesting their capacity to be or become reservoirs. Further, our findings suggest that potential reservoir species among bats and carnivores occur both within and outside of areas with current RABV circulation. These results show the ability of a trait-based approach to detect potential reservoirs of infection and could inform rabies control programs and surveillance efforts by identifying the types of species and traits that facilitate RABV maintenance and transmission.https://doi.org/10.1371/journal.pntd.0008940
spellingShingle Katherine E L Worsley-Tonks
Luis E Escobar
Roman Biek
Mariana Castaneda-Guzman
Meggan E Craft
Daniel G Streicker
Lauren A White
Nicholas M Fountain-Jones
Using host traits to predict reservoir host species of rabies virus.
PLoS Neglected Tropical Diseases
title Using host traits to predict reservoir host species of rabies virus.
title_full Using host traits to predict reservoir host species of rabies virus.
title_fullStr Using host traits to predict reservoir host species of rabies virus.
title_full_unstemmed Using host traits to predict reservoir host species of rabies virus.
title_short Using host traits to predict reservoir host species of rabies virus.
title_sort using host traits to predict reservoir host species of rabies virus
url https://doi.org/10.1371/journal.pntd.0008940
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