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Refuge sharing network predicts ectoparasite load in a lizard
Living in social groups facilitates cross-infection by parasites. However, empirical studies on indirect transmission within wildlife populations are scarce. We investigated whether asynchronous overnight refuge sharing among neighboring sleepy lizards, Tiliqua rugosa, facilitates indirect transmiss...
Autores principales: | , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Springer-Verlag
2010
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2926892/ https://www.ncbi.nlm.nih.gov/pubmed/20802788 http://dx.doi.org/10.1007/s00265-010-0964-6 |
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author | Leu, Stephan T. Kappeler, Peter M. Bull, C. Michael |
author_facet | Leu, Stephan T. Kappeler, Peter M. Bull, C. Michael |
author_sort | Leu, Stephan T. |
collection | PubMed |
description | Living in social groups facilitates cross-infection by parasites. However, empirical studies on indirect transmission within wildlife populations are scarce. We investigated whether asynchronous overnight refuge sharing among neighboring sleepy lizards, Tiliqua rugosa, facilitates indirect transmission of its ectoparasitic tick, Amblyomma limbatum. We fitted 18 neighboring lizards with GPS recorders, observed their overnight refuge use each night over 3 months, and counted their ticks every fortnight. We constructed a transmission network to estimate the cross-infection risk based on asynchronous refuge sharing frequencies among all lizards and the life history traits of the tick. Although self-infection was possible, the network provided a powerful predictor of measured tick loads. Highly connected lizards that frequently used their neighbors’ refuges were characterized by higher tick loads. Thus, indirect contact had a major influence on transmission pathways and parasite loads. Furthermore, lizards that used many different refuges had lower cross- and self-infection risks and lower tick loads than individuals that used relatively fewer refuges. Increasing the number of refuges used by a lizard may be an important defense mechanism against ectoparasite transmission in this species. Our study provides important empirical data to further understand how indirectly transmitted parasites move through host populations and influence individual parasite loads. |
format | Text |
id | pubmed-2926892 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | Springer-Verlag |
record_format | MEDLINE/PubMed |
spelling | pubmed-29268922010-08-27 Refuge sharing network predicts ectoparasite load in a lizard Leu, Stephan T. Kappeler, Peter M. Bull, C. Michael Behav Ecol Sociobiol Original Paper Living in social groups facilitates cross-infection by parasites. However, empirical studies on indirect transmission within wildlife populations are scarce. We investigated whether asynchronous overnight refuge sharing among neighboring sleepy lizards, Tiliqua rugosa, facilitates indirect transmission of its ectoparasitic tick, Amblyomma limbatum. We fitted 18 neighboring lizards with GPS recorders, observed their overnight refuge use each night over 3 months, and counted their ticks every fortnight. We constructed a transmission network to estimate the cross-infection risk based on asynchronous refuge sharing frequencies among all lizards and the life history traits of the tick. Although self-infection was possible, the network provided a powerful predictor of measured tick loads. Highly connected lizards that frequently used their neighbors’ refuges were characterized by higher tick loads. Thus, indirect contact had a major influence on transmission pathways and parasite loads. Furthermore, lizards that used many different refuges had lower cross- and self-infection risks and lower tick loads than individuals that used relatively fewer refuges. Increasing the number of refuges used by a lizard may be an important defense mechanism against ectoparasite transmission in this species. Our study provides important empirical data to further understand how indirectly transmitted parasites move through host populations and influence individual parasite loads. Springer-Verlag 2010-05-21 2010 /pmc/articles/PMC2926892/ /pubmed/20802788 http://dx.doi.org/10.1007/s00265-010-0964-6 Text en © The Author(s) 2010 https://creativecommons.org/licenses/by-nc/4.0/ This article is distributed under the terms of the Creative Commons Attribution Noncommercial License which permits any noncommercial use, distribution, and reproduction in any medium, provided the original author(s) and source are credited. |
spellingShingle | Original Paper Leu, Stephan T. Kappeler, Peter M. Bull, C. Michael Refuge sharing network predicts ectoparasite load in a lizard |
title | Refuge sharing network predicts ectoparasite load in a lizard |
title_full | Refuge sharing network predicts ectoparasite load in a lizard |
title_fullStr | Refuge sharing network predicts ectoparasite load in a lizard |
title_full_unstemmed | Refuge sharing network predicts ectoparasite load in a lizard |
title_short | Refuge sharing network predicts ectoparasite load in a lizard |
title_sort | refuge sharing network predicts ectoparasite load in a lizard |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2926892/ https://www.ncbi.nlm.nih.gov/pubmed/20802788 http://dx.doi.org/10.1007/s00265-010-0964-6 |
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