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Characterizing the genomic variation and population dynamics of Plasmodium falciparum malaria parasites in and around Lake Victoria, Kenya

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dc.contributor.authorCampino, Susana
dc.contributor.authorKagaya,Wataru
dc.contributor.authorChan, Chim
dc.contributor.authorNgara,Mtakai
dc.contributor.authorKaneko, Akira
dc.contributor.authorTakeda, Mika
dc.contributor.authorManko,Emilia
dc.contributor.authorOsborne,Ashley
dc.contributor.authorKongere, James
dc.contributor.authorKita, Kiyoshi
dc.contributor.authorGitaka,Jesse
dc.date.accessioned2024-06-06T09:57:16Z
dc.date.available2024-06-06T09:57:16Z
dc.date.issued2021-10-06
dc.description.abstractCharacterising the genomic variation and population dynamics of Plasmodium falciparum parasites in high transmission regions of Sub-Saharan Africa is crucial to the long-term efficacy of regional malaria elimination campaigns and eradication. Whole-genome sequencing (WGS) technologies can contribute towards understanding the epidemiology and structural variation landscape of P. falciparum populations, including those within the Lake Victoria basin, a region of intense transmission. Here we provide a baseline assessment of the genomic diversity of P. falciparum isolates in the Lake region of Kenya, which has sparse genetic data. Lake region isolates are placed within the context of African-wide populations using Illumina WGS data and population genomic analyses. Our analysis revealed that P. falciparum isolates from Lake Victoria form a cluster within the East African parasite population. These isolates also appear to have distinct ancestral origins, containing genome-wide signatures from both Central and East African lineages. Known drug resistance biomarkers were observed at similar frequencies to those of East African parasite populations, including the S160N/T mutation in the pfap2mu gene, which has been associated with delayed clearance by artemisinin-based combination therapy. Overall, our work provides a first assessment of P. falciparum genetic diversity within the Lake Victoria basin, a region targeting malaria elimination.
dc.description.sponsorshipAO is supported by a Nagasaki University—LSHTM PhD studentship funded by the WISE programme of MEXT. SC is funded by the Medical Research Council UK (Grant No. MR/M01360X/1) and BBSRC UK (BB/R013063/1). AK received support from JSPS KAKENHI (Grant Nos. JP18KK0248 and JP19H01080) and JICA/AMED joint research project (SATREPS) (Grant No. 20JM0110020H0002). OK received support from JSPS KAKENHI JP19KK0220, Japan. JG received support from a Tackling Infectious Burden in Africa (TIBA) fellowship, the African Academy of Sciences, and the Japan Society for Promotion of Sciences. TGC is supported by the Medical Research Council UK (Grant Nos. MR/K000551/1, MR/M01360X/1, MR/N010469/1, MR/R020973/1) and BBSRC (BB/R013063/1). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
dc.identifier.urihttps://doi.org/10.1038/s41598-021-99192-1
dc.identifier.urihttps://erepository.mku.ac.ke/handle/123456789/5843
dc.language.isoen
dc.publisherScientific Reports
dc.subjectGenome data
dc.subjectmulti-clonality
dc.titleCharacterizing the genomic variation and population dynamics of Plasmodium falciparum malaria parasites in and around Lake Victoria, Kenya
dc.typeArticle
dspace.entity.typePublication
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