GENE FLOW
; LANDSCAPE GENETICS
; CLIMATE-CHANGE
; ANCIENT DNA
; EVOLUTION
; VIRUSES
; CONSERVATION
; POPULATION
; SURVEILLANCE
; TRANSMISSION
WOS学科分类:
Evolutionary Biology
; Genetics & Heredity
WOS研究方向:
Evolutionary Biology
; Genetics & Heredity
英文摘要:
The outbreak and transmission of disease-causing pathogens are contributing to the unprecedented rate of biodiversity decline. Recent advances in genomics have coalesced into powerful tools to monitor, detect, and reconstruct the role of pathogens impacting wildlife populations. Wildlife researchers are thus uniquely positioned to merge ecological and evolutionary studies with genomic technologies to exploit unprecedented "Big Data" tools in disease research; however, many researchers lack the training and expertise required to use these computationally intensive methodologies. To address this disparity, the inaugural "Genomics of Disease in Wildlife" workshop assembled early to mid-career professionals with expertise across scientific disciplines (e.g., genomics, wildlife biology, veterinary sciences, and conservation management) for training in the application of genomic tools to wildlife disease research. A horizon scanning-like exercise, an activity to identify forthcoming trends and challenges, performed by the workshop participants identified and discussed 5 themes considered to be the most pressing to the application of genomics in wildlife disease research: 1) "Improving communication," 2) "Methodological and analytical advancements," 3) "Translation into practice," 4) "Integrating landscape ecology and genomics," and 5) "Emerging new questions." Wide-ranging solutions from the horizon scan were international in scope, itemized both deficiencies and strengths in wildlife genomic initiatives, promoted the use of genomic technologies to unite wildlife and human disease research, and advocated best practices for optimal use of genomic tools in wildlife disease projects. The results offer a glimpse of the potential revolution in human and wildlife disease research possible through multi-disciplinary collaborations at local, regional, and global scales.
1.Duke Univ, Dept Biol, Durham, NC USA 2.Purdue Univ, Dept Forestry & Nat Resources, W Lafayette, IN 47907 USA 3.Zoo New England Div Anim Hlth & Conservat, Boston, MA USA 4.Univ San Francisco Quito, Inst BIOSFERA, Via Interoceanica & Diego Robles, Quito, Ecuador 5.Univ San Francisco Quito, Colegio Ciencias Biol & Ambient, Via Interoceanica & Diego Robles, Quito, Ecuador 6.San Diego Zoo Global, Inst Conservat Res, Escondido, CA USA 7.Colorado State Univ, Dept Microbiol Immunol & Pathol, Ft Collins, CO 80523 USA 8.US Geol Survey, Natl Wildlife Hlth Ctr, Madison, WI USA 9.Texas A&M Univ, Interdisciplinary Grad Program Genet, College Stn, TX USA 10.Univ Minnesota, Dept Vet Populat Med, St Paul, MN 55108 USA 11.Colorado State Univ, Dept Biol, Ft Collins, CO 80523 USA 12.Univ Tennessee, Knoxville, TN USA 13.Univ Georgia, Odum Sch Ecol, Athens, GA 30602 USA 14.Univ Guelph, Canadian Wildlife Hlth Cooperat, Dept Pathobiol, Guelph, ON, Canada 15.Univ Maine, Sch Food & Agr, Orono, ME USA 16.Ctr Mol Dynam Nepal, Kathmandu, Nepal 17.Univ Tasmania, Sch Biol Sci, Hobart, Tas, Australia 18.Arizona State Univ, Sch Life Sci, Ctr Evolut & Med, Biodesign Ctr Fundamental & Appl Microbi, Tempe, AZ USA 19.St Michaels Coll, Dept Biol, Colchester, VT USA 20.Cornell Univ, Dept Ecol & Evolutionary Biol, Ithaca, NY USA 21.Drexel Univ, Dept Biol, Philadelphia, PA 19104 USA 22.Univ New Hampshire, Durham, NH 03824 USA 23.Michigan Dept Nat Resources, Wildlife Dis Lab, Lansing, MI USA 24.Univ Tecnol Indoamer, Fac Ciencias Medio Ambiente, Ctr Invest Biodiversidad & Cambio Climat BioCamb, Quito, Ecuador 25.Griffith Univ, Environm Futures Res Inst, Nathan, Qld, Australia 26.SUNY Albany, Dept Biol Sci, Albany, NY 12222 USA 27.Columbia Univ, Dept Ecol Evolut & Environm Biol, New York, NY USA 28.Colorado State Univ, Coll Vet Med & Biomed Sci, Ft Collins, CO 80523 USA 29.Smithsonian Conservat Biol Inst, Ctr Species Survival, Natl Zool Pk, Front Royal, VA 22630 USA
Recommended Citation:
Fitak, Robert R.,Antonides, Jennifer D.,Baitchman, Eric J.,et al. The Expectations and Challenges of Wildlife Disease Research in the Era of Genomics: Forecasting with a Horizon Scan-like Exercise[J]. JOURNAL OF HEREDITY,2019-01-01,110(3):261-274