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Fish disease dynamics in changing rivers: Salmonid Ceratomyxosis in the Klamath River
The myxozoan parasite Ceratomyxa shasta has been identified as the main contributor of mortality in salmon in the Klamath River, California. The life cycle of the parasite is complex, involving a polychaete and a salmonid host. Infection dynamics are greatly influenced by environmental factors, such...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Published by Elsevier B.V.
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7194549/ http://dx.doi.org/10.1016/j.ecocom.2019.100776 |
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author | Schakau, Vanessa Hilker, Frank M. Lewis, Mark A. |
author_facet | Schakau, Vanessa Hilker, Frank M. Lewis, Mark A. |
author_sort | Schakau, Vanessa |
collection | PubMed |
description | The myxozoan parasite Ceratomyxa shasta has been identified as the main contributor of mortality in salmon in the Klamath River, California. The life cycle of the parasite is complex, involving a polychaete and a salmonid host. Infection dynamics are greatly influenced by environmental factors, such as temperature and water velocity. If we are to control the disease it is important to predict the impact of environmental scenarios on spore concentration and infection prevalence. Here, we introduce a model based on partial differential equations to study the spore concentration in the river and the infection prevalence of returning salmon. The analysis of the model shows that for current climate conditions, additional dam release can reduce the actinospore concentration up to 48% and the prevalence up to 40% thus providing a potential disease management option. However, the infection risk is likely to increase for future climate conditions by 10–54% and this will lead to an infection level comparable to that of a recent high-disease year. Our simulations show that dam removal cannot be assumed to mitigate the effect of climate change or to have influence on infection prevalence. We show that our detailed model system can be reduced to a simpler exponential dose-response function, which predicts infection levels based on transmission rates, travel time and mean spore concentration, quantities that can be measured in-situ or given empirically. The dose-response function may therefore be a useful tool in disease management. |
format | Online Article Text |
id | pubmed-7194549 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Published by Elsevier B.V. |
record_format | MEDLINE/PubMed |
spelling | pubmed-71945492020-05-02 Fish disease dynamics in changing rivers: Salmonid Ceratomyxosis in the Klamath River Schakau, Vanessa Hilker, Frank M. Lewis, Mark A. Ecological Complexity Article The myxozoan parasite Ceratomyxa shasta has been identified as the main contributor of mortality in salmon in the Klamath River, California. The life cycle of the parasite is complex, involving a polychaete and a salmonid host. Infection dynamics are greatly influenced by environmental factors, such as temperature and water velocity. If we are to control the disease it is important to predict the impact of environmental scenarios on spore concentration and infection prevalence. Here, we introduce a model based on partial differential equations to study the spore concentration in the river and the infection prevalence of returning salmon. The analysis of the model shows that for current climate conditions, additional dam release can reduce the actinospore concentration up to 48% and the prevalence up to 40% thus providing a potential disease management option. However, the infection risk is likely to increase for future climate conditions by 10–54% and this will lead to an infection level comparable to that of a recent high-disease year. Our simulations show that dam removal cannot be assumed to mitigate the effect of climate change or to have influence on infection prevalence. We show that our detailed model system can be reduced to a simpler exponential dose-response function, which predicts infection levels based on transmission rates, travel time and mean spore concentration, quantities that can be measured in-situ or given empirically. The dose-response function may therefore be a useful tool in disease management. Published by Elsevier B.V. 2019-12 2019-08-27 /pmc/articles/PMC7194549/ http://dx.doi.org/10.1016/j.ecocom.2019.100776 Text en © 2019 Published by Elsevier B.V. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Schakau, Vanessa Hilker, Frank M. Lewis, Mark A. Fish disease dynamics in changing rivers: Salmonid Ceratomyxosis in the Klamath River |
title | Fish disease dynamics in changing rivers: Salmonid Ceratomyxosis in the Klamath River |
title_full | Fish disease dynamics in changing rivers: Salmonid Ceratomyxosis in the Klamath River |
title_fullStr | Fish disease dynamics in changing rivers: Salmonid Ceratomyxosis in the Klamath River |
title_full_unstemmed | Fish disease dynamics in changing rivers: Salmonid Ceratomyxosis in the Klamath River |
title_short | Fish disease dynamics in changing rivers: Salmonid Ceratomyxosis in the Klamath River |
title_sort | fish disease dynamics in changing rivers: salmonid ceratomyxosis in the klamath river |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7194549/ http://dx.doi.org/10.1016/j.ecocom.2019.100776 |
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