Characterizing the genomic variation and population dynamics of Plasmodium falciparum malaria parasites in and around Lake Victoria, Kenya
Abstract 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 c...
Guardado en:
Autores principales: | , , , , , , , , , , , , |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Nature Portfolio
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/d5c85ce9fdaf49dba64b728e4709019d |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
id |
oai:doaj.org-article:d5c85ce9fdaf49dba64b728e4709019d |
---|---|
record_format |
dspace |
spelling |
oai:doaj.org-article:d5c85ce9fdaf49dba64b728e4709019d2021-12-02T18:37:12ZCharacterizing the genomic variation and population dynamics of Plasmodium falciparum malaria parasites in and around Lake Victoria, Kenya10.1038/s41598-021-99192-12045-2322https://doaj.org/article/d5c85ce9fdaf49dba64b728e4709019d2021-10-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-99192-1https://doaj.org/toc/2045-2322Abstract 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.Ashley OsborneEmilia MankoMika TakedaAkira KanekoWataru KagayaChim ChanMtakai NgaraJames KongereKiyoshi KitaSusana CampinoOsamu KanekoJesse GitakaTaane G. ClarkNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-11 (2021) |
institution |
DOAJ |
collection |
DOAJ |
language |
EN |
topic |
Medicine R Science Q |
spellingShingle |
Medicine R Science Q Ashley Osborne Emilia Manko Mika Takeda Akira Kaneko Wataru Kagaya Chim Chan Mtakai Ngara James Kongere Kiyoshi Kita Susana Campino Osamu Kaneko Jesse Gitaka Taane G. Clark Characterizing the genomic variation and population dynamics of Plasmodium falciparum malaria parasites in and around Lake Victoria, Kenya |
description |
Abstract 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. |
format |
article |
author |
Ashley Osborne Emilia Manko Mika Takeda Akira Kaneko Wataru Kagaya Chim Chan Mtakai Ngara James Kongere Kiyoshi Kita Susana Campino Osamu Kaneko Jesse Gitaka Taane G. Clark |
author_facet |
Ashley Osborne Emilia Manko Mika Takeda Akira Kaneko Wataru Kagaya Chim Chan Mtakai Ngara James Kongere Kiyoshi Kita Susana Campino Osamu Kaneko Jesse Gitaka Taane G. Clark |
author_sort |
Ashley Osborne |
title |
Characterizing the genomic variation and population dynamics of Plasmodium falciparum malaria parasites in and around Lake Victoria, Kenya |
title_short |
Characterizing the genomic variation and population dynamics of Plasmodium falciparum malaria parasites in and around Lake Victoria, Kenya |
title_full |
Characterizing the genomic variation and population dynamics of Plasmodium falciparum malaria parasites in and around Lake Victoria, Kenya |
title_fullStr |
Characterizing the genomic variation and population dynamics of Plasmodium falciparum malaria parasites in and around Lake Victoria, Kenya |
title_full_unstemmed |
Characterizing the genomic variation and population dynamics of Plasmodium falciparum malaria parasites in and around Lake Victoria, Kenya |
title_sort |
characterizing the genomic variation and population dynamics of plasmodium falciparum malaria parasites in and around lake victoria, kenya |
publisher |
Nature Portfolio |
publishDate |
2021 |
url |
https://doaj.org/article/d5c85ce9fdaf49dba64b728e4709019d |
work_keys_str_mv |
AT ashleyosborne characterizingthegenomicvariationandpopulationdynamicsofplasmodiumfalciparummalariaparasitesinandaroundlakevictoriakenya AT emiliamanko characterizingthegenomicvariationandpopulationdynamicsofplasmodiumfalciparummalariaparasitesinandaroundlakevictoriakenya AT mikatakeda characterizingthegenomicvariationandpopulationdynamicsofplasmodiumfalciparummalariaparasitesinandaroundlakevictoriakenya AT akirakaneko characterizingthegenomicvariationandpopulationdynamicsofplasmodiumfalciparummalariaparasitesinandaroundlakevictoriakenya AT watarukagaya characterizingthegenomicvariationandpopulationdynamicsofplasmodiumfalciparummalariaparasitesinandaroundlakevictoriakenya AT chimchan characterizingthegenomicvariationandpopulationdynamicsofplasmodiumfalciparummalariaparasitesinandaroundlakevictoriakenya AT mtakaingara characterizingthegenomicvariationandpopulationdynamicsofplasmodiumfalciparummalariaparasitesinandaroundlakevictoriakenya AT jameskongere characterizingthegenomicvariationandpopulationdynamicsofplasmodiumfalciparummalariaparasitesinandaroundlakevictoriakenya AT kiyoshikita characterizingthegenomicvariationandpopulationdynamicsofplasmodiumfalciparummalariaparasitesinandaroundlakevictoriakenya AT susanacampino characterizingthegenomicvariationandpopulationdynamicsofplasmodiumfalciparummalariaparasitesinandaroundlakevictoriakenya AT osamukaneko characterizingthegenomicvariationandpopulationdynamicsofplasmodiumfalciparummalariaparasitesinandaroundlakevictoriakenya AT jessegitaka characterizingthegenomicvariationandpopulationdynamicsofplasmodiumfalciparummalariaparasitesinandaroundlakevictoriakenya AT taanegclark characterizingthegenomicvariationandpopulationdynamicsofplasmodiumfalciparummalariaparasitesinandaroundlakevictoriakenya |
_version_ |
1718377829239881728 |