2016
DOI: 10.1002/jwmg.1064
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Application of genetics and genomics to wildlife epidemiology

Abstract: Wildlife diseases can have significant impacts on wildlife conservation and management. Many of the pathogens that affect wildlife also have important implications for domestic animal and human health. However, management interventions to prevent or control wildlife disease are hampered by uncertainties about the complex interactions between pathogens and free-ranging wildlife. We often lack crucial knowledge about host ecology, pathogen characteristics, and host-pathogen dynamics. The purpose of this review i… Show more

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Cited by 64 publications
(54 citation statements)
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“…Kutz et al 2015 [9]), were not investigated. The rapid advancement of new molecular methodologies and genomic approaches will hopefully make extensive surveys for the unknowns possible in the near future [114].…”
Section: Discussionmentioning
confidence: 99%
“…Kutz et al 2015 [9]), were not investigated. The rapid advancement of new molecular methodologies and genomic approaches will hopefully make extensive surveys for the unknowns possible in the near future [114].…”
Section: Discussionmentioning
confidence: 99%
“…Existing genetic diversity at disease-associated loci may be especially important in determining the trajectory of recently emerging pathogens. Understanding differential patterns of host susceptibility can aid in the development of mitigation strategies that are targeted towards those populations that are most vulnerable and susceptible [7].…”
Section: Introductionmentioning
confidence: 99%
“…The emerging field of phylodynamics has extended study of viral population demographics and pathogen evolution to examine transmission dynamics related to discrete host traits such as species, geography, or host phenotype (De Maio, Wu, O'Reilly, & Wilson, ; Kamath et al., ; Kuhnert, Stadler, Vaughan, & Drummond, ; Stadler & Bonhoeffer, ). These advances are particularly useful for the study of wildlife pathogens because traditional epidemiological methods are often limited by the difficulty of sampling appropriate host information (Blanchong, Robinson, Samuel, & Foster, ). In this study, we used a joint evolutionary‐epidemiological model that estimated transmission dynamics within and between a subdivided host population, referred to as a birth–death multitype model (bdmm; Kuhnert et al., ).…”
Section: Introductionmentioning
confidence: 99%