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Empirical evidence that metabolic theory describes the temperature dependency of within-host parasite dynamics
The complexity of host–parasite interactions makes it difficult to predict how host–parasite systems will respond to climate change. In particular, host and parasite traits such as survival and virulence may have distinct temperature dependencies that must be integrated into models of disease dynami...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5819823/ https://www.ncbi.nlm.nih.gov/pubmed/29415043 http://dx.doi.org/10.1371/journal.pbio.2004608 |
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author | Kirk, Devin Jones, Natalie Peacock, Stephanie Phillips, Jessica Molnár, Péter K. Krkošek, Martin Luijckx, Pepijn |
author_facet | Kirk, Devin Jones, Natalie Peacock, Stephanie Phillips, Jessica Molnár, Péter K. Krkošek, Martin Luijckx, Pepijn |
author_sort | Kirk, Devin |
collection | PubMed |
description | The complexity of host–parasite interactions makes it difficult to predict how host–parasite systems will respond to climate change. In particular, host and parasite traits such as survival and virulence may have distinct temperature dependencies that must be integrated into models of disease dynamics. Using experimental data from Daphnia magna and a microsporidian parasite, we fitted a mechanistic model of the within-host parasite population dynamics. Model parameters comprising host aging and mortality, as well as parasite growth, virulence, and equilibrium abundance, were specified by relationships arising from the metabolic theory of ecology. The model effectively predicts host survival, parasite growth, and the cost of infection across temperature while using less than half the parameters compared to modeling temperatures discretely. Our results serve as a proof of concept that linking simple metabolic models with a mechanistic host–parasite framework can be used to predict temperature responses of parasite population dynamics at the within-host level. |
format | Online Article Text |
id | pubmed-5819823 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-58198232018-03-15 Empirical evidence that metabolic theory describes the temperature dependency of within-host parasite dynamics Kirk, Devin Jones, Natalie Peacock, Stephanie Phillips, Jessica Molnár, Péter K. Krkošek, Martin Luijckx, Pepijn PLoS Biol Research Article The complexity of host–parasite interactions makes it difficult to predict how host–parasite systems will respond to climate change. In particular, host and parasite traits such as survival and virulence may have distinct temperature dependencies that must be integrated into models of disease dynamics. Using experimental data from Daphnia magna and a microsporidian parasite, we fitted a mechanistic model of the within-host parasite population dynamics. Model parameters comprising host aging and mortality, as well as parasite growth, virulence, and equilibrium abundance, were specified by relationships arising from the metabolic theory of ecology. The model effectively predicts host survival, parasite growth, and the cost of infection across temperature while using less than half the parameters compared to modeling temperatures discretely. Our results serve as a proof of concept that linking simple metabolic models with a mechanistic host–parasite framework can be used to predict temperature responses of parasite population dynamics at the within-host level. Public Library of Science 2018-02-07 /pmc/articles/PMC5819823/ /pubmed/29415043 http://dx.doi.org/10.1371/journal.pbio.2004608 Text en © 2018 Kirk 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 (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Kirk, Devin Jones, Natalie Peacock, Stephanie Phillips, Jessica Molnár, Péter K. Krkošek, Martin Luijckx, Pepijn Empirical evidence that metabolic theory describes the temperature dependency of within-host parasite dynamics |
title | Empirical evidence that metabolic theory describes the temperature dependency of within-host parasite dynamics |
title_full | Empirical evidence that metabolic theory describes the temperature dependency of within-host parasite dynamics |
title_fullStr | Empirical evidence that metabolic theory describes the temperature dependency of within-host parasite dynamics |
title_full_unstemmed | Empirical evidence that metabolic theory describes the temperature dependency of within-host parasite dynamics |
title_short | Empirical evidence that metabolic theory describes the temperature dependency of within-host parasite dynamics |
title_sort | empirical evidence that metabolic theory describes the temperature dependency of within-host parasite dynamics |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5819823/ https://www.ncbi.nlm.nih.gov/pubmed/29415043 http://dx.doi.org/10.1371/journal.pbio.2004608 |
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