Malaria Molecular Surveillance in the Peruvian Amazon with a Novel Highly Multiplexed Plasmodium falciparum AmpliSeq Assay
Johanna Helena Kattenberg, Carlos Fernández-Miñope, Norbert J. van Dijk, Lidia Llacsahuanga Allcca, Pieter Guetens, Hugo O. Valdivia, Jean‐Pierre Van Geertruyden, Eduard Rovira-Vallbona, Pieter Monsieurs, Christopher Delgado-Ratto, Dionicia Gamboa, Anna Rosanas‐Urgell
Abstract
While the power of next-generation sequencing technologies to inform and guide malaria control programs has become broadly recognized, the integration of genomic data for operational incorporation into malaria surveillance remains a challenge in most countries where malaria is endemic. The main obstacles include limited infrastructure, limited access to high-throughput sequencing facilities, and the need for local capacity to run an in-country analysis of genomes at a large-enough scale to be informative for surveillance. In addition, there is a lack of standardized laboratory protocols and automated analysis pipelines to generate reproducible and timely results useful for relevant stakeholders. With our standardized laboratory and bioinformatic workflow, malaria genetic surveillance data can be readily generated by surveillance researchers and malaria control programs in countries of endemicity, increasing ownership and ensuring timely results for informed decision- and policy-making.