4.7 Article

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

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SCIENTIFIC REPORTS
卷 11, 期 1, 页码 -

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NATURE PORTFOLIO
DOI: 10.1038/s41598-021-99192-1

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资金

  1. Nagasaki University-LSHTM PhD studentship - WISE programme of MEXT
  2. Medical Research Council UK [MR/K000551/1, MR/M01360X/1, MR/N010469/1, MR/R020973/1]
  3. BBSRC UK [BB/R013063/1]
  4. JSPS KAKENHI [JP18KK0248, JP19H01080]
  5. JICA/AMED joint research project (SATREPS) [20JM0110020H0002]
  6. JSPS KAKENHI, Japan [JP19KK0220]
  7. Tackling Infectious Burden in Africa (TIBA) fellowship
  8. African Academy of Sciences
  9. Japan Society for Promotion of Sciences
  10. BBSRC [BB/R013063/1]
  11. MRC [MR/M01360X/1, MR/K000551/1, MR/R020973/1] Funding Source: UKRI

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Characterizing the genomic variation and population dynamics of Plasmodium falciparum parasites in the Lake Victoria basin is important for malaria elimination efforts. The study uses whole-genome sequencing to assess genetic diversity in the region, finding that the parasites in the Lake Victoria basin form a distinct cluster within East African populations and have ancestry from both Central and East Africa. Drug resistance biomarkers were also identified, indicating potential challenges for treatment strategies in the region.
Characterising 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.

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