High-throughput detection of eukaryotic parasites and arboviruses in mosquitoes
Vector-borne pathogens cause many human infectious diseases and are responsible for high mortality and morbidity throughout the world. They can also cause livestock epidemics with dramatic social and economic consequences. Due to its high costs, vector-borne disease surveillance is often limited to...
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Format: | Article |
Language: | English |
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The Company of Biologists
2021-07-01
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Series: | Biology Open |
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Online Access: | http://bio.biologists.org/content/10/7/bio058855 |
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record_format |
Article |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Matthew V. Cannon Haikel N. Bogale Devika Bhalerao Kalil Keita Denka Camara Yaya Barry Moussa Keita Drissa Coulibaly Abdoulaye K. Kone Ogobara K. Doumbo Mahamadou A. Thera Christopher V. Plowe Mark A. Travassos Seth R. Irish Joshua Yeroshefsky Jeannine Dorothy Brian Prendergast Brandyce St. Laurent Megan L. Fritz David Serre |
spellingShingle |
Matthew V. Cannon Haikel N. Bogale Devika Bhalerao Kalil Keita Denka Camara Yaya Barry Moussa Keita Drissa Coulibaly Abdoulaye K. Kone Ogobara K. Doumbo Mahamadou A. Thera Christopher V. Plowe Mark A. Travassos Seth R. Irish Joshua Yeroshefsky Jeannine Dorothy Brian Prendergast Brandyce St. Laurent Megan L. Fritz David Serre High-throughput detection of eukaryotic parasites and arboviruses in mosquitoes Biology Open vector-borne pathogens eukaryotic parasites arbovirus surveillance zoonosis emerging pathogens |
author_facet |
Matthew V. Cannon Haikel N. Bogale Devika Bhalerao Kalil Keita Denka Camara Yaya Barry Moussa Keita Drissa Coulibaly Abdoulaye K. Kone Ogobara K. Doumbo Mahamadou A. Thera Christopher V. Plowe Mark A. Travassos Seth R. Irish Joshua Yeroshefsky Jeannine Dorothy Brian Prendergast Brandyce St. Laurent Megan L. Fritz David Serre |
author_sort |
Matthew V. Cannon |
title |
High-throughput detection of eukaryotic parasites and arboviruses in mosquitoes |
title_short |
High-throughput detection of eukaryotic parasites and arboviruses in mosquitoes |
title_full |
High-throughput detection of eukaryotic parasites and arboviruses in mosquitoes |
title_fullStr |
High-throughput detection of eukaryotic parasites and arboviruses in mosquitoes |
title_full_unstemmed |
High-throughput detection of eukaryotic parasites and arboviruses in mosquitoes |
title_sort |
high-throughput detection of eukaryotic parasites and arboviruses in mosquitoes |
publisher |
The Company of Biologists |
series |
Biology Open |
issn |
2046-6390 |
publishDate |
2021-07-01 |
description |
Vector-borne pathogens cause many human infectious diseases and are responsible for high mortality and morbidity throughout the world. They can also cause livestock epidemics with dramatic social and economic consequences. Due to its high costs, vector-borne disease surveillance is often limited to current threats, and the investigation of emerging pathogens typically occurs after the reports of clinical cases. Here, we use high-throughput sequencing to detect and identify a wide range of parasites and viruses carried by mosquitoes from Cambodia, Guinea, Mali and the USA. We apply this approach to individual Anopheles mosquitoes as well as pools of mosquitoes captured in traps; and compare the outcomes of this assay when applied to DNA or RNA. We identified known human and animal pathogens and mosquito parasites belonging to a wide range of taxa, as well as DNA sequences from previously uncharacterized organisms. Our results also revealed that analysis of the content of an entire trap could be an efficient approach to monitor and identify rare vector-borne pathogens in large surveillance studies. Overall, we describe a high-throughput and easy-to-customize assay to screen for a wide range of pathogens and efficiently complement current vector-borne disease surveillance approaches. |
topic |
vector-borne pathogens eukaryotic parasites arbovirus surveillance zoonosis emerging pathogens |
url |
http://bio.biologists.org/content/10/7/bio058855 |
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doaj-d80123cde60e451388d4677e53cf26e42021-09-19T12:57:40ZengThe Company of BiologistsBiology Open2046-63902021-07-0110710.1242/bio.058855058855High-throughput detection of eukaryotic parasites and arboviruses in mosquitoesMatthew V. Cannon0Haikel N. Bogale1Devika Bhalerao2Kalil Keita3Denka Camara4Yaya Barry5Moussa Keita6Drissa Coulibaly7Abdoulaye K. Kone8Ogobara K. Doumbo9Mahamadou A. Thera10Christopher V. Plowe11Mark A. Travassos12Seth R. Irish13Joshua Yeroshefsky14Jeannine Dorothy15Brian Prendergast16Brandyce St. Laurent17Megan L. Fritz18David Serre19 Institute for Genome Sciences, Department of Microbiology and Immunology, University of Maryland School of Medicine, Baltimore, MD 21201, USA Institute for Genome Sciences, Department of Microbiology and Immunology, University of Maryland School of Medicine, Baltimore, MD 21201, USA Institute for Genome Sciences, Department of Microbiology and Immunology, University of Maryland School of Medicine, Baltimore, MD 21201, USA Programme National de Lutte contre le Paludisme, Guinea Programme National de Lutte contre le Paludisme, Guinea Programme National de Lutte contre le Paludisme, Guinea Programme National de Lutte contre le Paludisme, Guinea Malaria Research and Training Center, University Science, Techniques and Technologies of Bamako, Mali Malaria Research and Training Center, University Science, Techniques and Technologies of Bamako, Mali Malaria Research and Training Center, University Science, Techniques and Technologies of Bamako, Mali Malaria Research and Training Center, University Science, Techniques and Technologies of Bamako, Mali Malaria Research Program, Department of Medicine, Center for Vaccine Development and Global Health, University of Maryland School of Medicine, Baltimore, MD 21201, USA Malaria Research Program, Department of Medicine, Center for Vaccine Development and Global Health, University of Maryland School of Medicine, Baltimore, MD 21201, USA U.S. President's Malaria Initiative and Entomology Branch, Division of Parasitic Diseases and Malaria, Center for Global Health, Centers for Disease Control and Prevention, Atlanta, GA 30333, USA Department of Entomology, University of Maryland College Park, College Park, MD 20742, USA Mosquito Control Program, Maryland Department of Agriculture, Annapolis, MD 21401, USA Mosquito Control Program, Maryland Department of Agriculture, Annapolis, MD 21401, USA Laboratory of Malaria and Vector Research, National Institute of Allergy and Infectious Diseases, Rockville, MD 20852, USA Department of Entomology, University of Maryland College Park, College Park, MD 20742, USA Institute for Genome Sciences, Department of Microbiology and Immunology, University of Maryland School of Medicine, Baltimore, MD 21201, USA Vector-borne pathogens cause many human infectious diseases and are responsible for high mortality and morbidity throughout the world. They can also cause livestock epidemics with dramatic social and economic consequences. Due to its high costs, vector-borne disease surveillance is often limited to current threats, and the investigation of emerging pathogens typically occurs after the reports of clinical cases. Here, we use high-throughput sequencing to detect and identify a wide range of parasites and viruses carried by mosquitoes from Cambodia, Guinea, Mali and the USA. We apply this approach to individual Anopheles mosquitoes as well as pools of mosquitoes captured in traps; and compare the outcomes of this assay when applied to DNA or RNA. We identified known human and animal pathogens and mosquito parasites belonging to a wide range of taxa, as well as DNA sequences from previously uncharacterized organisms. Our results also revealed that analysis of the content of an entire trap could be an efficient approach to monitor and identify rare vector-borne pathogens in large surveillance studies. Overall, we describe a high-throughput and easy-to-customize assay to screen for a wide range of pathogens and efficiently complement current vector-borne disease surveillance approaches.http://bio.biologists.org/content/10/7/bio058855vector-borne pathogenseukaryotic parasitesarbovirussurveillancezoonosisemerging pathogens |