The Use of Xenosurveillance to Detect Human Bacteria, Parasites, and Viruses in Mosquito Bloodmeals

Joseph R. Fauver Department of Microbiology, Immunology, and Pathology, Colorado State University, Fort Collins, Colorado;

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Alex Gendernalik Department of Microbiology, Immunology, and Pathology, Colorado State University, Fort Collins, Colorado;

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James Weger-Lucarelli Department of Microbiology, Immunology, and Pathology, Colorado State University, Fort Collins, Colorado;

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Nathan D. Grubaugh Department of Microbiology, Immunology, and Pathology, Colorado State University, Fort Collins, Colorado;
Department of Immunology and Microbial Science, The Scripps Research Institute, La Jolla, California;

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Doug E. Brackney Center for Vector Biology and Zoonotic Diseases, Connecticut Agricultural Experiment Station, New Haven, Connecticut

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Brian D. Foy Department of Microbiology, Immunology, and Pathology, Colorado State University, Fort Collins, Colorado;

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Gregory D. Ebel Department of Microbiology, Immunology, and Pathology, Colorado State University, Fort Collins, Colorado;

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Infectious disease surveillance is hindered by several factors, including limited infrastructure and geographic isolation of many resource-poor regions. In addition, the complexities of sample acquisition, processing, and analysis, even in developed regions, can be rate limiting. Therefore, new strategies to survey human populations for emerging pathogens are necessary. Xenosurveillance is a method that utilizes mosquitoes as sampling devices to search for genetic signatures of pathogens in vertebrates. Previously we demonstrated that xenosurveillance can detect viral RNA in both laboratory and field settings. However, its ability to detect bacteria and parasites remains to be assessed. Accordingly, we fed Anopheles gambiae mosquitoes blood that contained Trypanosoma brucei gambiense and Bacillus anthracis. In addition, we determined whether two additional emerging viruses, Middle East Respiratory Syndrome Coronavirus and Zika virus could be detected by this method. Pathogen-specific real-time reverse transcription polymerase chain reaction was used to evaluate the sensitivity of xenosurveillance across multiple pathogen taxa and over time. We detected RNA from all pathogens at clinically relevant concentrations from mosquitoes processed up to 1 day postbloodfeeding. These results demonstrate that xenosurveillance may be used as a tool to expand surveillance for viral, parasitic, and bacterial pathogens in resource-limited areas.

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Author Notes

Address correspondence to Gregory D. Ebel, Department of Microbiology, Immunology, and Pathology, Colorado State University, 1692 Campus Delivery, Fort Collins, CO 80523. E-mail: gregory.ebel@colostate.edu

Authors’ addresses: Joseph R. Fauver, Alex Gendernalik, James Weger-Lucarelli, Brian D. Foy, and Gregory D. Ebel, Department of Microbiology, Immunology, and Pathology, Colorado State University, Fort Collins, CO, E-mails: joseph.fauver@colostate.edu, alghobbes@gmail.com, james.weger@colostate.edu, brian.foy@colostate.edu, and gregory.ebel@colostate.edu. Nathan D. Grubaugh, Department of Immunology and Microbial Science, The Scripps Research Institute, La Jolla, CA, E-mail: nathan.grubaugh@yahoo.com. Doug E. Brackney, Center for Vector Biology and Zoonotic Diseases, Connecticut Agricultural Experiment Station, New Haven, CT, E-mail: doug.brackney@ct.gov.

Financial support: The projected was supported in part by the CSU Infectious Disease Supercluster Grant “Xenosurveillance: A novel approach for interrogating the human-pathogen landscape in sub-Saharan Africa” awarded to DEB, BDF, and GDE. This project was also supported in part by an Armed Forces Health Surveillance Center grant awarded to the Walter Reed Army Institute (subcontract DEB).

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