Improved species assignments across the entire Anopheles genus using targeted sequencing

Accurate species identification of the mosquitoes in the genus <i>Anopheles</i> is of crucial importance to implement malaria control measures and monitor their effectiveness. We use a previously developed amplicon panel (ANOSPP) that retrieves sequence data from multiple short nuclear loci for any species in the genus. Species assignment is based on comparison of samples to a reference index using <i>k</i>-mer distance. Here, we provide a protocol to generate version controlled updates of the reference index and present its latest release, NNv2, which contains 91 species, compared to 56 species represented in its predecessor NNv1. With the updated reference index, we are able to assign samples to species level that previously could not be assigned. We discuss what happens if a species is not represented in the reference index and how this can be addressed in a future update. To demonstrate the increased power of NNv2, we showcase the assignments of 1789 wild-caught mosquitoes from Madagascar and demonstrate that we can detect within species population structure from the amplicon sequencing data.

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Publication Details

Journal
Frontiers in Genetics
Published
2024-09-19
DOI
https://doi.org/10.3389/fgene.2024.1456644
Citations
4
Primary Topic
Mosquito-borne diseases and control
Type
article
Field-Weighted Citation Impact
2.17

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article

Improved species assignments across the entire Anopheles genus using targeted sequencing

Fredros O. Okumu, Nicodem James Govella, Diégo Ayala, Jonathan Kayondo et al.
4 citations
Frontiers in Genetics
Mosquito-borne diseases and control
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article

Improved species assignments across the entire Anopheles genus using targeted sequencing

Fredros O. Okumu, Nicodem James Govella, Diégo Ayala, Jonathan Kayondo, Uwem Friday Ekpo, Jewelna Akorli, Nana Efua Andoh, El Hadji Amadou Niang, Amy K. Bei, Victor Chaumeau, Fiona Teltscher, Malala Nirina Rakotomanga, Olaitan Olamide Omitola, Alex Makunin, Alongkot Ponlawat, Ife Desamours, Mara Lawniczak, Marilou Boddé, Kevin C. Kobylinski, Elhadji Malick Ngom, Mialy Tatamo Rasolonjatovoniaina
article en
4 citations

Abstract

Accurate species identification of the mosquitoes in the genus <i>Anopheles</i> is of crucial importance to implement malaria control measures and monitor their effectiveness. We use a previously developed amplicon panel (ANOSPP) that retrieves sequence data from multiple short nuclear loci for any species in the genus. Species assignment is based on comparison of samples to a reference index using <i>k</i>-mer distance. Here, we provide a protocol to generate version controlled updates of the reference index and present its latest release, NNv2, which contains 91 species, compared to 56 species represented in its predecessor NNv1. With the updated reference index, we are able to assign samples to species level that previously could not be assigned. We discuss what happens if a species is not represented in the reference index and how this can be addressed in a future update. To demonstrate the increased power of NNv2, we showcase the assignments of 1789 wild-caught mosquitoes from Madagascar and demonstrate that we can detect within species population structure from the amplicon sequencing data.

Frontiers in GeneticsVol. 15
Ifakara Health Institute (TZ), Centre National de la Recherche Scientifique (FR), Federal University of Agriculture, Abeokuta (NG), University of Cambridge (GB), Agropolis International (FR), Wellcome Sanger Institute (GB), Leibniz Association (DE), Yale University (US), University of Oxford (GB), Maladies Infectieuses et Vecteurs: Écologie, Génétique, Évolution et Contrôle (FR), Noguchi Memorial Institute for Medical Research (GH), Shoklo Malaria Research Unit (TH), Institute for Biodiversity (DE), Armed Forces Research Institute of Medical Science (TH), Mahidol Oxford Tropical Medicine Research Unit (TH), Institut Pasteur de Madagascar (MG), Institut Pasteur de Dakar (SN), Institut de Recherche pour le Développement (FR), Leibniz Institute for the Analysis of Biodiversity Change (DE), Uganda Virus Research Institute (UG), Cheikh Anta Diop University (SN)
Bill and Melinda Gates Foundation, Wellcome Trust
Life in Land
Openalex Percentile: Top 12%
Mosquito-borne diseases and control
2.17
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