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Extreme Competence: Keystone Hosts of Infections

Authors :
Rebecca E. Koch
Andrew S. Flies
Laura F. Grogan
Edward Narayan
Anne Peters
Katherine L. Buchanan
Constanza Napolitano
Nynke Raven
Manuel Ruiz-Aravena
Lee A. Rollins
Justin R. Eastwood
Michael J. Roast
Lee Peacock
Lynn B. Martin
Ondi L. Crino
Andrew G. D. Bean
Rodrigo Hamede
Beata Ujvari
Helena S. Stokes
Johanne M. Martens
Alice Risely
Marcel Klaassen
BriAnne Addison
Geoffrey E. Hill
Alison J. Peel
Daniel Selechnik
Source :
Trends in Ecology & Evolution
Publication Year :
2019
Publisher :
Elsevier Ltd., 2019.

Abstract

Individual hosts differ extensively in their competence for parasites, but traditional research has discounted this variation, partly because modeling such heterogeneity is difficult. This discounting has diminished as tools have improved and recognition has grown that some hosts, the extremely competent, can have exceptional impacts on disease dynamics. Most prominent among these hosts are the superspreaders, but other forms of extreme competence (EC) exist and others await discovery; each with potentially strong but distinct implications for disease emergence and spread. Here, we propose a framework for the study and discovery of EC, suitable for different host–parasite systems, which we hope enhances our understanding of how parasites circulate and evolve in host communities.<br />Highlights A few members of host populations, so-called superspreaders, have disproportionate impacts on the risk of infectious disease emergence and spread. Several other forms of EC exist; some of which might be exceptionally protective. To discover and understand forms of EC, it is imperative to describe the distribution of, and covariation among, traits of individual hosts that mediate the many stages of host–parasite interactions. Here, we provide a framework to do so, emphasizing how interplay among host traits related to parasite exposure behavior, susceptibility, replicability of parasites on/in hosts, and transmissibility, comprise host competence. We hope this framework helps reveal new forms of EC and informs and improves management of disease risk.

Details

Language :
English
ISSN :
18728383 and 01695347
Volume :
34
Issue :
4
Database :
OpenAIRE
Journal :
Trends in Ecology & Evolution
Accession number :
edsair.doi.dedup.....c24d864d628996cb0cbd6ca0a4fb2689