The Expectations and Challenges of Wildlife Disease Research in the Era of Genomics: Forecasting with a Horizon Scan-like Exercise

Author:

Fitak Robert R1ORCID,Antonides Jennifer D2,Baitchman Eric J3,Bonaccorso Elisa4,Braun Josephine5,Kubiski Steven5,Chiu Elliott6,Fagre Anna C6,Gagne Roderick B6,Lee Justin S6,Malmberg Jennifer L6,Stenglein Mark D6,Dusek Robert J7,Forgacs David8,Fountain-Jones Nicholas M9,Gilbertson Marie L J9,Worsley-Tonks Katherine E L9,Funk W Chris10,Trumbo Daryl R10,Ghersi Bruno M11,Grimaldi Wray12,Heisel Sara E13,Jardine Claire M14,Kamath Pauline L15,Karmacharya Dibesh16,Kozakiewicz Christopher P17,Kraberger Simona18,Loisel Dagan A19,McDonald Cait20,Miller Steven21,O’Rourke Devon22,Ott-Conn Caitlin N23,Páez-Vacas Mónica24,Peel Alison J25,Turner Wendy C26,VanAcker Meredith C27,VandeWoude Sue28,Pecon-Slattery Jill29

Affiliation:

1. Department of Biology, Duke University, Durham, NC, USA

2. Department of Forestry & Natural Resources, Purdue University, West Lafayette, IN

3. The Zoo New England Division of Animal Health and Conservation, Boston, MA

4. The Instituto BIOSFERA and Colegio de Ciencias Biológicas y Ambientales, Universidad San Francisco de Quito, vía Interoceánica y Diego de Robles, Quito, Ecuador

5. The Institute for Conservation Research, San Diego Zoo Global, Escondido, CA

6. Department of Microbiology, Immunology and Pathology, Colorado State University, Fort Collins, CO

7. The U. S. Geological Survey, National Wildlife Health Center, Madison, WI

8. The Interdisciplinary Graduate Program of Genetics, Texas A&M University, College Station, TX

9. The Department of Veterinary Population Medicine, University of Minnesota, St. Paul, MN

10. The Department of Biology, Colorado State University, Fort Collins, CO

11. The University of Tennessee, Knoxville, TN

12. The Encinitas, CA

13. The Odum School of Ecology, University of Georgia, Athens, GA

14. The Department of Pathobiology, Canadian Wildlife Health Cooperative, University of Guelph, Guelph, Ontario, Canada

15. The School of Food and Agriculture, University of Maine, Orono, ME

16. The Center for Molecular Dynamics Nepal, Kathmandu, Nepal

17. The School of Biological Sciences, University of Tasmania, Hobart, Tasmania, Australia

18. The Biodesign Center for Fundamental and Applied Microbiomics, Center for Evolution and Medicine, School of Life Sciences, Arizona State University, Tempe, AZ

19. The Department of Biology, Saint Michael’s College, Colchester, VT

20. The Department of Ecology & Evolutionary Biology, Cornell University, Ithaca, NY (McDonald)

21. The Department of Biology, Drexel University, Philadelphia, PA

22. The University of New Hampshire, Durham, NH

23. The Michigan Department of Natural Resources, Wildlife Disease Laboratory, Lansing, MI

24. The Centro de Investigación de la Biodiversidad y Cambio Climático (BioCamb), Facultad de Ciencias de Medio Ambiente, Universidad Tecnológica Indoamérica, Machala y Sabanilla, Quito, Ecuador

25. The Environmental Futures Research Institute, Griffith University, Nathan, Queensland, Australia

26. The Department of Biological Sciences, University at Albany, State University of New York, Albany, NY

27. The Department of Ecology, Evolution, and Environmental Biology, Columbia University, New York, NY

28. The College of Veterinary Medicine and Biomedical Sciences, Colorado State University, Fort Collins, CO

29. The Center for Species Survival, Smithsonian Conservation Biology Institute-National Zoological Park, Front Royal, VA

Abstract

Abstract 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.

Funder

American Genetic Association

Morris Animal Foundation

Smithsonian Conservation Biology Institute

Colorado State University

Division of Environmental Biology

National Science Foundation

Publisher

Oxford University Press (OUP)

Subject

Genetics(clinical),Genetics,Molecular Biology,Biotechnology

Reference131 articles.

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