TY - JOUR
T1 - The expectations and challenges of wildlife disease research in the era of genomics
T2 - Forecasting with a horizon scan-like exercise
AU - Fitak, Robert R.
AU - Antonides, Jennifer D.
AU - Baitchman, Eric J.
AU - Bonaccorso, Elisa
AU - Braun, Josephine
AU - Kubiski, Steven
AU - Chiu, Elliott
AU - Fagre, Anna C.
AU - Gagne, Roderick B.
AU - Lee, Justin S.
AU - Malmberg, Jennifer L.
AU - Stenglein, Mark D.
AU - Dusek, Robert J.
AU - Forgacs, David
AU - Fountain-Jones, Nicholas M.
AU - Gilbertson, Marie L.J.
AU - Worsley-Tonks, Katherine E.L.
AU - Funk, W. Chris
AU - Trumbo, Daryl R.
AU - Ghersi, Bruno M.
AU - Grimaldi, Wray
AU - Heisel, Sara E.
AU - Jardine, Claire M.
AU - Kamath, Pauline L.
AU - Karmacharya, Dibesh
AU - Kozakiewicz, Christopher P.
AU - Kraberger, Simona
AU - Loisel, Dagan A.
AU - McDonald, Cait
AU - Miller, Steven
AU - O'Rourke, Devon
AU - Ott-Conn, Caitlin N.
AU - Páez-Vacas, Mónica
AU - Peel, Alison J.
AU - Turner, Wendy C.
AU - VanAcker, Meredith C.
AU - VandeWoude, Sue
AU - Pecon-Slattery, Jill
N1 - Publisher Copyright:
© The American Genetic Association 2019.
PY - 2019/5/1
Y1 - 2019/5/1
N2 - 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.
AB - 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.
KW - Biodiversity
KW - Bioinformatics
KW - Comparative genomics
KW - Host
KW - Next generation DNA sequencing
KW - Pathogen
UR - http://www.scopus.com/inward/record.url?scp=85065779441&partnerID=8YFLogxK
U2 - 10.1093/jhered/esz001
DO - 10.1093/jhered/esz001
M3 - Artículo
C2 - 31067326
AN - SCOPUS:85065779441
SN - 0022-1503
VL - 110
SP - 261
EP - 274
JO - Journal of Heredity
JF - Journal of Heredity
IS - 3
ER -