Next generation sequencing improves the resolution of detecting mixed host blood meal sources in field collected arboviral mosquito vectors.

Aedes aegypti Aedes bromeliae Culex pipiens s.l. arbovirus vectors blood feeding patterns next generation sequencing

Journal

Medical and veterinary entomology
ISSN: 1365-2915
Titre abrégé: Med Vet Entomol
Pays: England
ID NLM: 8708682

Informations de publication

Date de publication:
15 May 2024
Historique:
received: 11 12 2023
accepted: 01 05 2024
medline: 15 5 2024
pubmed: 15 5 2024
entrez: 15 5 2024
Statut: aheadofprint

Résumé

Accurate knowledge of blood meal hosts of different mosquito species is critical for identifying potential vectors and establishing the risk of pathogen transmission. We compared the performance of Miseq next generation sequencing approach relative to conventional Sanger sequencing approach in identification of mosquito blood meals using genetic markers targeting the 12S rRNA and cytochrome oxidase I (COI) genes. We analysed the blood meals of three mosquito vector species (Aedes aegypti, Aedes simpsoni s.l. and Culex pipiens s.l.) collected outdoors, and compared the frequency of single- versus multiple-blood feeding. Single host blood meals were mostly recovered for Sanger-based sequencing of the mitochondrial 12S rRNA gene, whereas Miseq sequencing employing this marker and the COI marker detected both single and multiple blood meal hosts in individual mosquitoes. Multiple blood meals (two or more hosts) which mostly included humans were detected in 19%-22.7% of Ae. aegypti samples. Most single host blood meals for this mosquito species were from humans (47.7%-57.1%) and dogs (9.1%-19.0%), with livestock, reptile and rodent hosts collectively accounting for 4.7%-28.9% of single host blood meals. The frequency of two or more host blood meals in Ae. simpsoni s.l. was 26.3%-45.5% mostly including humans, while single host blood meals were predominantly from humans (31.8%-47.4%) with representation of rodent, reptile and livestock blood meals (18.2%-68.2%). Single host blood meals from Cx. pipiens s.l. were mostly from humans (27.0%-39.4%) and cows (11.5%-27.36%). Multiple blood meal hosts that mostly included humans occurred in 21.2%-24.4% of Cx. pipiens s.l. samples. Estimated human blood indices ranged from 53%-76% for Ae. aegypti, 32%-82% for Ae. simpsoni s.l. and 26%-61% for Cx. pipiens s.l. and were consistently lower for Sanger-based sequencing approach compared to Miseq-based sequencing approach. These findings demonstrate that Miseq sequencing approach is superior to Sanger sequencing approach as it can reliably identify mixed host blood meals in a single mosquito, improving our ability to understand the transmission dynamics of mosquito-borne pathogens.

Identifiants

pubmed: 38747253
doi: 10.1111/mve.12725
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : Norwegian Agency for Development Cooperation
ID : RAF-3058 KEN-18/0005
Organisme : Swedish International Development Cooperation Agency (Sida)
Organisme : Swiss Agency for Development and Cooperation (SDC)
Organisme : Australian Centre for International Agricultural Research (ACIAR)
Organisme : Norwegian Agency for Development Cooperation (Norad)
Organisme : German Federal Ministry for Economic Cooperation and Development (BMZ)
Organisme : Government of the Republic of Kenya

Informations de copyright

© 2024 Royal Entomological Society.

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Auteurs

David P Tchouassi (DP)

International Centre of Insect Physiology and Ecology, Nairobi, Kenya.

Robinson O Kisero (RO)

International Centre of Insect Physiology and Ecology, Nairobi, Kenya.

Gilbert Rotich (G)

International Centre of Insect Physiology and Ecology, Nairobi, Kenya.

Christopher Dunlap (C)

USDA, Agricultural Research Service, National Center for Agricultural Utilization Research, Crop Bioprotection Research Unit, Peoria, Illinois, USA.

Baldwyn Torto (B)

International Centre of Insect Physiology and Ecology, Nairobi, Kenya.

Ephantus J Muturi (EJ)

USDA, Agricultural Research Service, National Center for Agricultural Utilization Research, Crop Bioprotection Research Unit, Peoria, Illinois, USA.

Classifications MeSH