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Influence of landscape and social interactions on transmission of disease in a social cervid

Author:
VANDER WAL, ERIC, PAQUET, PAUL C., ANDRÉS, JOSÉ A.
Source:
Molecular ecology 2012 v.21 no.5 pp. 1271-1282
ISSN:
0962-1083
Subject:
bovine tuberculosis, disease transmission, elks, genetic relationships, genetic techniques and protocols, hosts, landscapes, pathogens, population structure, risk, social behavior, spatial data, Manitoba
Abstract:
The mechanisms of pathogen transmission are often social behaviours. These occur at local scales and are affected by landscape‐scale population structure. Host populations frequently exist in patchy and isolated environments that create a continuum of genetic and social familiarity. Such variability has an important multispatial effect on pathogen spread. We assessed elk dispersal (i.e. likelihood of interdeme pathogen transmission) through spatially explicit genetic analyses. At a landscape scale, the elk population was composed of one cluster within a southeast‐to‐northwest cline spanning three spatially discrete subpopulations of elk across two protected areas in Manitoba (Canada). Genetic data are consistent with spatial variability in apparent prevalence of bovine tuberculosis (TB) in elk. Given the existing population structure, between‐subpopulation spread of disease because of elk dispersal is unlikely. Furthermore, to better understand the risk of spread and distribution of the TB, we used a combination of close‐contact logging biotelemetry and genetic data, which highlights how social intercourse may affect pathogen transmission. Our results indicate that close‐contact interaction rate and duration did not covary with genetic relatedness. Thus, direct elk‐to‐elk transmission of disease is unlikely to be constrained to related individuals. That social intercourse in elk is not limited to familial groups provides some evidence pathogen transmission may be density‐dependent. We show that the combination of landscape‐scale genetics, relatedness and local‐scale social behaviours is a promising approach to understand and predict landscape‐level pathogen transmission within our system and within all social ungulate systems affected by transmissible diseases.
Agid:
498612