Experimental evidence of a pathogen invasion threshold. Issue 1 (24th January 2018)
- Record Type:
- Journal Article
- Title:
- Experimental evidence of a pathogen invasion threshold. Issue 1 (24th January 2018)
- Main Title:
- Experimental evidence of a pathogen invasion threshold
- Authors:
- Dallas, Tad A.
Krkošek, Martin
Drake, John M. - Abstract:
- Abstract : Host density thresholds to pathogen invasion separate regions of parameter space corresponding to endemic and disease-free states. The host density threshold is a central concept in theoretical epidemiology and a common target of human and wildlife disease control programmes, but there is mixed evidence supporting the existence of thresholds, especially in wildlife populations or for pathogens with complex transmission modes (e.g. environmental transmission). Here, we demonstrate the existence of a host density threshold for an environmentally transmitted pathogen by combining an epidemiological model with a microcosm experiment. Experimental epidemics consisted of replicate populations of naive crustacean zooplankton ( Daphnia dentifera ) hosts across a range of host densities (20–640 hosts l −1 ) that were exposed to an environmentally transmitted fungal pathogen ( Metschnikowia bicuspidata ). Epidemiological model simulations, parametrized independently of the experiment, qualitatively predicted experimental pathogen invasion thresholds. Variability in parameter estimates did not strongly influence outcomes, though systematic changes to key parameters have the potential to shift pathogen invasion thresholds. In summary, we provide one of the first clear experimental demonstrations of pathogen invasion thresholds in a replicated experimental system, and provide evidence that such thresholds may be predictable using independently constructed epidemiologicalAbstract : Host density thresholds to pathogen invasion separate regions of parameter space corresponding to endemic and disease-free states. The host density threshold is a central concept in theoretical epidemiology and a common target of human and wildlife disease control programmes, but there is mixed evidence supporting the existence of thresholds, especially in wildlife populations or for pathogens with complex transmission modes (e.g. environmental transmission). Here, we demonstrate the existence of a host density threshold for an environmentally transmitted pathogen by combining an epidemiological model with a microcosm experiment. Experimental epidemics consisted of replicate populations of naive crustacean zooplankton ( Daphnia dentifera ) hosts across a range of host densities (20–640 hosts l −1 ) that were exposed to an environmentally transmitted fungal pathogen ( Metschnikowia bicuspidata ). Epidemiological model simulations, parametrized independently of the experiment, qualitatively predicted experimental pathogen invasion thresholds. Variability in parameter estimates did not strongly influence outcomes, though systematic changes to key parameters have the potential to shift pathogen invasion thresholds. In summary, we provide one of the first clear experimental demonstrations of pathogen invasion thresholds in a replicated experimental system, and provide evidence that such thresholds may be predictable using independently constructed epidemiological models. … (more)
- Is Part Of:
- Royal Society open science. Volume 5:Issue 1(2018)
- Journal:
- Royal Society open science
- Issue:
- Volume 5:Issue 1(2018)
- Issue Display:
- Volume 5, Issue 1 (2018)
- Year:
- 2018
- Volume:
- 5
- Issue:
- 1
- Issue Sort Value:
- 2018-0005-0001-0000
- Page Start:
- Page End:
- Publication Date:
- 2018-01-24
- Subjects:
- epidemic -- Metschnikowia -- disease ecology -- environmental transmission -- pathogen emergence
Science -- Periodicals
500 - Journal URLs:
- https://royalsocietypublishing.org/journal/rsos ↗
- DOI:
- 10.1098/rsos.171975 ↗
- Languages:
- English
- ISSNs:
- 2054-5703
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library STI - ELD Digital store
- Ingest File:
- 25082.xml