Publications des scientifiques de l'IRD

Boddé M., Makunin A., Teltscher F., Akorli J., Andoh N. E., Bei A., Chaumeau V., Desamours I., Ekpo U. F., Govella N. J., Kayondo J., Kobylinski K., Ngom E. M., Niang E. A., Okumu F., Omitola O. O., Ponlawat A., Rakotomanga M. N., Rasolonjatovoniaina M. T., Ayala Diego, Lawniczak M. (2024). Improved species assignments across the entire Anopheles genus using targeted sequencing. Frontiers in Genetics, 15, p. 1456644 [15 p.].

Titre du document
Improved species assignments across the entire Anopheles genus using targeted sequencing
Année de publication
2024
Type de document
Article référencé dans le Web of Science WOS:001330862400001
Auteurs
Boddé M., Makunin A., Teltscher F., Akorli J., Andoh N. E., Bei A., Chaumeau V., Desamours I., Ekpo U. F., Govella N. J., Kayondo J., Kobylinski K., Ngom E. M., Niang E. A., Okumu F., Omitola O. O., Ponlawat A., Rakotomanga M. N., Rasolonjatovoniaina M. T., Ayala Diego, Lawniczak M.
Source
Frontiers in Genetics, 2024, 15, p. 1456644 [15 p.]
Accurate species identification of the mosquitoes in the genus Anopheles 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 k-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.
Plan de classement
Entomologie médicale / Parasitologie / Virologie [052]
Description Géographique
GHANA ; GABON ; MADAGASCAR ; TANZANIE ; SENEGAL
Localisation
Fonds IRD [F B010091924]
Identifiant IRD
fdi:010091924
Contact