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Potential Parasite Transmission in Multi-Host Networks Based on Parasite Sharing

Epidemiological networks are commonly used to explore dynamics of parasite transmission among individuals in a population of a given host species. However, many parasites infect multiple host species, and thus multi-host networks may offer a better framework for investigating parasite dynamics. We i...

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Autores principales: Pilosof, Shai, Morand, Serge, Krasnov, Boris R., Nunn, Charles L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4352066/
https://www.ncbi.nlm.nih.gov/pubmed/25748947
http://dx.doi.org/10.1371/journal.pone.0117909
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author Pilosof, Shai
Morand, Serge
Krasnov, Boris R.
Nunn, Charles L.
author_facet Pilosof, Shai
Morand, Serge
Krasnov, Boris R.
Nunn, Charles L.
author_sort Pilosof, Shai
collection PubMed
description Epidemiological networks are commonly used to explore dynamics of parasite transmission among individuals in a population of a given host species. However, many parasites infect multiple host species, and thus multi-host networks may offer a better framework for investigating parasite dynamics. We investigated the factors that influence parasite sharing – and thus potential transmission pathways – among rodent hosts in Southeast Asia. We focused on differences between networks of a single host species and networks that involve multiple host species. In host-parasite networks, modularity (the extent to which the network is divided into subgroups of rodents that interact with similar parasites) was higher in the multi-species than in the single-species networks. This suggests that phylogeny affects patterns of parasite sharing, which was confirmed in analyses showing that it predicted affiliation of individuals to modules. We then constructed “potential transmission networks” based on the host-parasite networks, in which edges depict the similarity between a pair of individuals in the parasites they share. The centrality of individuals in these networks differed between multi- and single-species networks, with species identity and individual characteristics influencing their position in the networks. Simulations further revealed that parasite dynamics differed between multi- and single-species networks. We conclude that multi-host networks based on parasite sharing can provide new insights into the potential for transmission among hosts in an ecological community. In addition, the factors that determine the nature of parasite sharing (i.e. structure of the host-parasite network) may impact transmission patterns.
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spelling pubmed-43520662015-03-17 Potential Parasite Transmission in Multi-Host Networks Based on Parasite Sharing Pilosof, Shai Morand, Serge Krasnov, Boris R. Nunn, Charles L. PLoS One Research Article Epidemiological networks are commonly used to explore dynamics of parasite transmission among individuals in a population of a given host species. However, many parasites infect multiple host species, and thus multi-host networks may offer a better framework for investigating parasite dynamics. We investigated the factors that influence parasite sharing – and thus potential transmission pathways – among rodent hosts in Southeast Asia. We focused on differences between networks of a single host species and networks that involve multiple host species. In host-parasite networks, modularity (the extent to which the network is divided into subgroups of rodents that interact with similar parasites) was higher in the multi-species than in the single-species networks. This suggests that phylogeny affects patterns of parasite sharing, which was confirmed in analyses showing that it predicted affiliation of individuals to modules. We then constructed “potential transmission networks” based on the host-parasite networks, in which edges depict the similarity between a pair of individuals in the parasites they share. The centrality of individuals in these networks differed between multi- and single-species networks, with species identity and individual characteristics influencing their position in the networks. Simulations further revealed that parasite dynamics differed between multi- and single-species networks. We conclude that multi-host networks based on parasite sharing can provide new insights into the potential for transmission among hosts in an ecological community. In addition, the factors that determine the nature of parasite sharing (i.e. structure of the host-parasite network) may impact transmission patterns. Public Library of Science 2015-03-06 /pmc/articles/PMC4352066/ /pubmed/25748947 http://dx.doi.org/10.1371/journal.pone.0117909 Text en © 2015 Pilosof et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Pilosof, Shai
Morand, Serge
Krasnov, Boris R.
Nunn, Charles L.
Potential Parasite Transmission in Multi-Host Networks Based on Parasite Sharing
title Potential Parasite Transmission in Multi-Host Networks Based on Parasite Sharing
title_full Potential Parasite Transmission in Multi-Host Networks Based on Parasite Sharing
title_fullStr Potential Parasite Transmission in Multi-Host Networks Based on Parasite Sharing
title_full_unstemmed Potential Parasite Transmission in Multi-Host Networks Based on Parasite Sharing
title_short Potential Parasite Transmission in Multi-Host Networks Based on Parasite Sharing
title_sort potential parasite transmission in multi-host networks based on parasite sharing
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4352066/
https://www.ncbi.nlm.nih.gov/pubmed/25748947
http://dx.doi.org/10.1371/journal.pone.0117909
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