Malaria vector bionomics in Taita-Taveta County, coastal Kenya.


Journal

Parasites & vectors
ISSN: 1756-3305
Titre abrégé: Parasit Vectors
Pays: England
ID NLM: 101462774

Informations de publication

Date de publication:
16 Nov 2022
Historique:
received: 04 08 2022
accepted: 05 10 2022
entrez: 17 11 2022
pubmed: 18 11 2022
medline: 22 11 2022
Statut: epublish

Résumé

Estimation of the composition and densities of mosquito species populations is crucial for monitoring the epidemiology of mosquito-borne diseases and provide information on local vectors to public health officials and policy-makers. The aim of this study was to evaluate malaria vector bionomics in ecologically distinct sites in Taita-Taveta County, Kenya. Adult mosquitoes were collected using backpack aspirators and paired indoor/outdoor CDC light traps in 10 randomly selected households in six villages with distinct ecologies over a study period of 3 years. All Anopheles mosquitoes were morphotyped, and sibling species of Anopheles gambiae sensu lato (An. gambiae s.l.) were identified and separated by PCR analysis of extracted ribosomal DNA. All female anophelines were tested for sporozoite infectivity, with engorged females screened for blood-meal sources using the enzyme-linked immunosorbent assay technique. A subsample of those testing positive and those testing negative for Plasmodium in the ELISA were subjected to PCR assay. A total of eight different Anopheles species were collected both indoors and outdoors. Anopheles gambiae s.l. (82.6%, n = 5252) was the predominant species sensu lato, followed by Anopheles coustani sensu lato (An. coustani s.l.; (10.5%, n = 666) and Anopheles funestus sensu lato (An. funestus s.l.; 5.6%, n = 357). A subset of 683 mosquito samples representing An. gambiae s.l. (n = 580, approx. 11.0%) and An. funestus s.l. (n = 103, approx. 28.9%) were identified by molecular diagnostic assays into sibling species. The An. gambiae s.l. complex was composed of Anopheles arabiensis (62.5%, n = 363/580), An. gambiae sensu stricto (An. gambiae s.s.; 0.7%, n = 4/580), Anopheles merus (0.7%, n = 4/580) and Anopheles quadriannulatus (0.2%, n = 1/580), with the remaining samples (35.5%, n = 206/580) unamplified. Anopheles funestus s.l. was composed of An. rivulorum (14.6%, n = 15/103) and An. leesoni (11.6%, n = 12/103); the remaining samples were unamplified (73.8%, n = 76/103). A total of 981 samples were subjected to PCR analysis for malaria parasite detection; of these 16 (1.6%) were confirmed to be positive for Plasmodium falciparum. The overall human blood index was 0.13 (32/238). Anopheles gambiae, An. funestus and An. coustani are key malaria vectors in the Taveta region of Kenya, showing concurrent indoor and outdoor transmission. All of the vectors tested showed a higher propensity for bovine and goat blood than for human blood.

Sections du résumé

BACKGROUND BACKGROUND
Estimation of the composition and densities of mosquito species populations is crucial for monitoring the epidemiology of mosquito-borne diseases and provide information on local vectors to public health officials and policy-makers. The aim of this study was to evaluate malaria vector bionomics in ecologically distinct sites in Taita-Taveta County, Kenya.
METHODS METHODS
Adult mosquitoes were collected using backpack aspirators and paired indoor/outdoor CDC light traps in 10 randomly selected households in six villages with distinct ecologies over a study period of 3 years. All Anopheles mosquitoes were morphotyped, and sibling species of Anopheles gambiae sensu lato (An. gambiae s.l.) were identified and separated by PCR analysis of extracted ribosomal DNA. All female anophelines were tested for sporozoite infectivity, with engorged females screened for blood-meal sources using the enzyme-linked immunosorbent assay technique. A subsample of those testing positive and those testing negative for Plasmodium in the ELISA were subjected to PCR assay.
RESULTS RESULTS
A total of eight different Anopheles species were collected both indoors and outdoors. Anopheles gambiae s.l. (82.6%, n = 5252) was the predominant species sensu lato, followed by Anopheles coustani sensu lato (An. coustani s.l.; (10.5%, n = 666) and Anopheles funestus sensu lato (An. funestus s.l.; 5.6%, n = 357). A subset of 683 mosquito samples representing An. gambiae s.l. (n = 580, approx. 11.0%) and An. funestus s.l. (n = 103, approx. 28.9%) were identified by molecular diagnostic assays into sibling species. The An. gambiae s.l. complex was composed of Anopheles arabiensis (62.5%, n = 363/580), An. gambiae sensu stricto (An. gambiae s.s.; 0.7%, n = 4/580), Anopheles merus (0.7%, n = 4/580) and Anopheles quadriannulatus (0.2%, n = 1/580), with the remaining samples (35.5%, n = 206/580) unamplified. Anopheles funestus s.l. was composed of An. rivulorum (14.6%, n = 15/103) and An. leesoni (11.6%, n = 12/103); the remaining samples were unamplified (73.8%, n = 76/103). A total of 981 samples were subjected to PCR analysis for malaria parasite detection; of these 16 (1.6%) were confirmed to be positive for Plasmodium falciparum. The overall human blood index was 0.13 (32/238).
CONCLUSIONS CONCLUSIONS
Anopheles gambiae, An. funestus and An. coustani are key malaria vectors in the Taveta region of Kenya, showing concurrent indoor and outdoor transmission. All of the vectors tested showed a higher propensity for bovine and goat blood than for human blood.

Identifiants

pubmed: 36384974
doi: 10.1186/s13071-022-05527-w
pii: 10.1186/s13071-022-05527-w
pmc: PMC9670438
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

430

Subventions

Organisme : Wellcome Trust
Pays : United Kingdom
Organisme : EPA
ID : EP-C-15-003
Pays : United States

Informations de copyright

© 2022. The Author(s).

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Auteurs

Jonathan Karisa (J)

KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya. kjonathan@kemri-wellcome.org.
Department of Biological and Public Health, Pwani University, Kilifi, Kenya. kjonathan@kemri-wellcome.org.
Pwani University Bioscience Research Centre, Pwani University, Kilifi, Kenya. kjonathan@kemri-wellcome.org.

Kelly Ominde (K)

KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya.

Simon Muriu (S)

Department of Biological and Public Health, Pwani University, Kilifi, Kenya.
Pwani University Bioscience Research Centre, Pwani University, Kilifi, Kenya.

Vanessa Munyao (V)

KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya.

Kioko Mwikali (K)

KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya.

Lawrence Babu (L)

KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya.

Zedekiah Ondieki (Z)

KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya.

Brian Bartilol (B)

KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya.

Mercy Tuwei (M)

KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya.
Department of Biological and Public Health, Pwani University, Kilifi, Kenya.
Pwani University Bioscience Research Centre, Pwani University, Kilifi, Kenya.

Caroline Wanjiku (C)

KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya.

Marta Maia (M)

KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya.
Centre for Global Health and Tropical Medicine, University of Oxford, Oxford, UK.

Janet Midega (J)

KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya.

Martin Rono (M)

KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya.
KEMRI-Center for Geographic Medicine Research Coast, Kilifi, Kenya.
Population Health Unit, KEMRI-Wellcome Trust Research Programme, Nairobi, Kenya.
Department of Biological and Public Health, Pwani University, Kilifi, Kenya.
Pwani University Bioscience Research Centre, Pwani University, Kilifi, Kenya.

Norbert Peshu (N)

KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya.
KEMRI-Center for Geographic Medicine Research Coast, Kilifi, Kenya.

Charles Mbogo (C)

KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya.
KEMRI-Center for Geographic Medicine Research Coast, Kilifi, Kenya.
Population Health Unit, KEMRI-Wellcome Trust Research Programme, Nairobi, Kenya.

Joseph M Mwangangi (JM)

KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya.
KEMRI-Center for Geographic Medicine Research Coast, Kilifi, Kenya.
Population Health Unit, KEMRI-Wellcome Trust Research Programme, Nairobi, Kenya.

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