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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2015
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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. |
format | Online Article Text |
id | pubmed-4352066 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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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