Exploring the Mosquito-Arbovirus Network: A Survey of Vector Competence Experiments
Arboviruses receive heightened research attention during major outbreaks or when they cause unusual or severe clinical disease, but they are otherwise undercharacterized. Global change is also accelerating the emergence and spread of arboviral diseases, leading to time-sensitive questions about pote...
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| Published in: | The American journal of tropical medicine and hygiene Vol. 108; no. 5; pp. 987 - 994 |
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| Main Authors: | , , , , , , , , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
United States
Institute of Tropical Medicine
01-05-2023
The American Society of Tropical Medicine and Hygiene |
| Subjects: | |
| Online Access: | Get full text |
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| Summary: | Arboviruses receive heightened research attention during major outbreaks or when they cause unusual or severe clinical disease, but they are otherwise undercharacterized. Global change is also accelerating the emergence and spread of arboviral diseases, leading to time-sensitive questions about potential interactions between viruses and novel vectors. Vector competence experiments help determine the susceptibility of certain arthropods to a given arbovirus, but these experiments are often conducted in real time during outbreaks, rather than with preparedness in mind. We conducted a systematic review of reported mosquito-arbovirus competence experiments, screening 570 abstracts to arrive at 265 studies testing in vivo arboviral competence. We found that more than 90% of potential mosquito-virus combinations are untested in experimental settings and that entire regions and their corresponding vectors and viruses are undersampled. These knowledge gaps stymie outbreak response and limit attempts to both build and validate predictive models of the vector-virus network. |
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| Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 ObjectType-Undefined-3 Authors’ addresses: Binqi Chen and Velen Y. Wu, Center for Global Health Science and Security, Georgetown University Medical Center, Washington, DC, E-mails: bc773@georgetown.edu and vw93@georgetown.edu. Amy R. Sweeny, Center for Global Health Science and Security, Georgetown University Medical Center, Washington, DC, and Institute of Evolutionary Biology, University of Edinburgh, Edinburgh, United Kingdom, E-mail: amyr.sweeny@gmail.com. Rebecca C. Christofferson, Department of Pathobiological Sciences, Louisiana State University, Louisiana State University, Baton Rouge, LA, E-mail: rcarri1@lsu.edu. Gregory Ebel, Anna C. Fagre, Emily Gallichotte, and Rebekah C. Kading, Center for Vector-borne Infectious Diseases, Colorado State University, Fort Collins, CO, E-mails: gregory.ebel@colostate.edu, anna.fagre@gmail.com, emily.gallichotte@colostate.edu, and rebekah.kading@colostate.edu. Sadie J. Ryan, Department of Geography, University of Florida, Gainesville, FL, Emerging Pathogens Institute, University of Florida, Gainesville, FL, and College of Life Sciences, University of KwaZulu Natal, Durban, South Africa, E-mail: sjryan@ufl.edu. Colin J. Carlson, Center for Global Health Science and Security, Georgetown University Medical Center, Washington, DC, Department of Microbiology and Immunology, Georgetown University Medical Center, Washington, DC, and Department of Biology, Georgetown University, Washington, DC, E-mail: cjc322@georgetown.edu. Raw data and code to reproduce analyses are available on Github at https://github.com/viralemergence/bolide. |
| ISSN: | 0002-9637 1476-1645 |
| DOI: | 10.4269/ajtmh.22-0511 |