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Infection of the fittest: devil facial tumour disease has greatest effect on individuals with highest reproductive output

Citation

Wells, K and Hamede, RK and Kerlin, DH and Storfer, A and Hohenlohe, PA and Jones, ME and McCallum, HI, Infection of the fittest: devil facial tumour disease has greatest effect on individuals with highest reproductive output, Ecology Letters pp. 1-9. ISSN 1461-0248 (In Press) [Refereed Article]


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DOI: doi:10.1111/ele.12776

Abstract

Emerging infectious diseases rarely affect all members of a population equally and determining how individuals’ susceptibility to infection is related to other components of their fitness is critical to understanding disease impacts at a population level and for predicting evolutionary trajectories. We introduce a novel state-space model framework to investigate survival and fecundity of Tasmanian devils (Sarcophilus harrisii) affected by a transmissible cancer, devil facial tumour disease. We show that those devils that become host to tumours have otherwise greater fitness, with higher survival and fecundity rates prior to disease-induced death than non-host individuals that do not become infected, although high tumour loads lead to high mortality. Our finding that individuals with the greatest reproductive value are those most affected by the cancer demonstrates the need to quantify both survival and fecundity in context of disease progression for understanding the impact of disease on wildlife populations.

Item Details

Item Type:Refereed Article
Keywords:Bayesian capture-recapture, disease burden, disease progression, disease risk, fecundity, individual fitness, pathogenesis, transmissible cancer, tumour growth
Research Division:Environmental Sciences
Research Group:Environmental Science and Management
Research Field:Conservation and Biodiversity
Objective Division:Environment
Objective Group:Flora, Fauna and Biodiversity
Objective Field:Flora, Fauna and Biodiversity at Regional or Larger Scales
Author:Hamede, RK (Mr Rodrigo Hamede Ross)
Author:Jones, ME (Associate Professor Menna Jones)
ID Code:116767
Year Published:In Press
Deposited By:Zoology
Deposited On:2017-05-19
Last Modified:2017-05-19
Downloads:0

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