Myxobolus cerebralis establishment and spread: a graphical synthesis

Author:

Ramazi Pouria1,Fischer Samuel M.23,Alexander Julie4,James Clayton T.5,Paul Andrew J.6,Greiner Russell78,Lewis Mark A.29

Affiliation:

1. Department of Mathematics and Statistics, Brock University, St. Catharines, ON L2S 3A1, Canada.

2. Department of Mathematical and Statistical Sciences, University of Alberta, Edmonton, AB T6G 2G1, Canada.

3. Department of Ecological Modelling, Helmholtz Centre for Environmental Research – UFZ, Permoserstr 15, Leipzig 04318, Germany.

4. Department of Microbiology, Oregon State University, Corvallis, OR 97330, USA.

5. Alberta Environment and Parks, Edmonton, AB T5J 4G8, Canada.

6. Fish and Wildlife, Alberta Environment and Parks, Cochrane, AB T4C 1A5, Canada.

7. Alberta Machine Intelligence Institute, Edmonton, AB T5J 3B1, Canada.

8. Department of Computing Science, University of Alberta, Edmonton, AB T6G 2E8, Canada.

9. Department of Biological Sciences, University of Alberta, Edmonton, AB T6G 2E9, Canada.

Abstract

Myxobolus cerebralis is the parasite causing whirling disease, which has dramatic ecological impacts due to its potential to cause high mortality in salmonids. The large-scale efforts, necessary to underpin an effective surveillance program, have practical and economic constraints. There is, hence, a clear need for models that can predict the parasite spread. Model development, however, often heavily depends on knowing influential variables and governing mechanisms. We have developed a graphical model for the establishment and spread of M. cerebralis by synthesizing experts’ opinion and empirical studies. First, we conducted a series of workshops with experts to identify variables believed to impact the establishment and spread of the parasite M. cerebralis and visualized their interactions via a directed acyclic graph. Then we refined the graph by incorporating empirical findings from the literature. The final graph’s nodes correspond to variables whose considerable impact on M. cerebralis establishment and spread is either supported by empirical data or confirmed by experts, and the graph’s directed edges represent direct causality or strong correlation. This graphical model facilitates communication and education of whirling disease and provides an empirically driven framework for constructing future models, especially Bayesian networks.

Publisher

Canadian Science Publishing

Subject

Aquatic Science,Ecology, Evolution, Behavior and Systematics

Reference121 articles.

1. Alberta Environment and Parks. 2017. Whirling disease in Bow River watershed. Edmonton, Alta. Available from https://www.alberta.ca/release.cfm?xID=46262A00CB125-CCE0-5AC7-9815E058B20176B3.

2. Context-specific parasitism inTubifex tubifexin geothermally influenced stream reaches in Yellowstone National Park

3. Allan, J.D., and Castillo, M.M. 2007. Stream ecology: structure and function of running waters. Springer Science & Business Media.

4. Allan, J.D., and Castillo, M.M. 2009. Stream ecology: structure and function of running waters. 2nd ed. Springer, Dordrecht. Reprinted edition. ISBN 978-1-4020-5583-6 978-1-4020-5582-9. OCLC: 837704805.

5. The Gravity Model

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