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Geographic-genetic analysis of Plasmodium falciparum parasite populations from surveys of primary school children in Western Kenya

Background. Malaria control, and finally malaria elimination, requires the identification and targeting of residual foci or hotspots of transmission. However, the level of parasite mixing within and between geographical locations is likely to impact the effectiveness and durability of control interv...

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Autores principales: Omedo, Irene, Mogeni, Polycarp, Rockett, Kirk, Kamau, Alice, Hubbart, Christina, Jeffreys, Anna, Ochola-Oyier, Lynette Isabella, de Villiers, Etienne P., Gitonga, Caroline W., Noor, Abdisalan M., Snow, Robert W., Kwiatkowski, Dominic, Bejon, Philip
Formato: Online Artículo Texto
Lenguaje:English
Publicado: F1000Research 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5527688/
https://www.ncbi.nlm.nih.gov/pubmed/28944299
http://dx.doi.org/10.12688/wellcomeopenres.11228.2
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author Omedo, Irene
Mogeni, Polycarp
Rockett, Kirk
Kamau, Alice
Hubbart, Christina
Jeffreys, Anna
Ochola-Oyier, Lynette Isabella
de Villiers, Etienne P.
Gitonga, Caroline W.
Noor, Abdisalan M.
Snow, Robert W.
Kwiatkowski, Dominic
Bejon, Philip
author_facet Omedo, Irene
Mogeni, Polycarp
Rockett, Kirk
Kamau, Alice
Hubbart, Christina
Jeffreys, Anna
Ochola-Oyier, Lynette Isabella
de Villiers, Etienne P.
Gitonga, Caroline W.
Noor, Abdisalan M.
Snow, Robert W.
Kwiatkowski, Dominic
Bejon, Philip
author_sort Omedo, Irene
collection PubMed
description Background. Malaria control, and finally malaria elimination, requires the identification and targeting of residual foci or hotspots of transmission. However, the level of parasite mixing within and between geographical locations is likely to impact the effectiveness and durability of control interventions and thus should be taken into consideration when developing control programs. Methods. In order to determine the geographic-genetic patterns of Plasmodium falciparum parasite populations at a sub-national level in Kenya, we used the Sequenom platform to genotype 111 genome-wide distributed single nucleotide polymorphic (SNP) positions in 2486 isolates collected from children in 95 primary schools in western Kenya. We analysed these parasite genotypes for genetic structure using principal component analysis and assessed local and global clustering using statistical measures of spatial autocorrelation. We further examined the region for spatial barriers to parasite movement as well as directionality in the patterns of parasite movement. Results. We found no evidence of population structure and little evidence of spatial autocorrelation of parasite genotypes (correlation coefficients <0.03 among parasite pairs in distance classes of 1km, 2km and 5km; p value<0.01). An analysis of the geographical distribution of allele frequencies showed weak evidence of variation in distribution of alleles, with clusters representing a higher than expected number of samples with the major allele being identified for 5 SNPs. Furthermore, we found no evidence of the existence of spatial barriers to parasite movement within the region, but observed directional movement of parasites among schools in two separate sections of the region studied. Conclusions. Our findings illustrate a pattern of high parasite mixing within the study region. If this mixing is due to rapid gene flow, then “one-off” targeted interventions may not be currently effective at the sub-national scale in Western Kenya, due to the high parasite movement that is likely to lead to re-introduction of infection from surrounding regions. However repeated targeted interventions may reduce transmission in the surrounding regions.
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spelling pubmed-55276882017-09-22 Geographic-genetic analysis of Plasmodium falciparum parasite populations from surveys of primary school children in Western Kenya Omedo, Irene Mogeni, Polycarp Rockett, Kirk Kamau, Alice Hubbart, Christina Jeffreys, Anna Ochola-Oyier, Lynette Isabella de Villiers, Etienne P. Gitonga, Caroline W. Noor, Abdisalan M. Snow, Robert W. Kwiatkowski, Dominic Bejon, Philip Wellcome Open Res Research Article Background. Malaria control, and finally malaria elimination, requires the identification and targeting of residual foci or hotspots of transmission. However, the level of parasite mixing within and between geographical locations is likely to impact the effectiveness and durability of control interventions and thus should be taken into consideration when developing control programs. Methods. In order to determine the geographic-genetic patterns of Plasmodium falciparum parasite populations at a sub-national level in Kenya, we used the Sequenom platform to genotype 111 genome-wide distributed single nucleotide polymorphic (SNP) positions in 2486 isolates collected from children in 95 primary schools in western Kenya. We analysed these parasite genotypes for genetic structure using principal component analysis and assessed local and global clustering using statistical measures of spatial autocorrelation. We further examined the region for spatial barriers to parasite movement as well as directionality in the patterns of parasite movement. Results. We found no evidence of population structure and little evidence of spatial autocorrelation of parasite genotypes (correlation coefficients <0.03 among parasite pairs in distance classes of 1km, 2km and 5km; p value<0.01). An analysis of the geographical distribution of allele frequencies showed weak evidence of variation in distribution of alleles, with clusters representing a higher than expected number of samples with the major allele being identified for 5 SNPs. Furthermore, we found no evidence of the existence of spatial barriers to parasite movement within the region, but observed directional movement of parasites among schools in two separate sections of the region studied. Conclusions. Our findings illustrate a pattern of high parasite mixing within the study region. If this mixing is due to rapid gene flow, then “one-off” targeted interventions may not be currently effective at the sub-national scale in Western Kenya, due to the high parasite movement that is likely to lead to re-introduction of infection from surrounding regions. However repeated targeted interventions may reduce transmission in the surrounding regions. F1000Research 2017-09-05 /pmc/articles/PMC5527688/ /pubmed/28944299 http://dx.doi.org/10.12688/wellcomeopenres.11228.2 Text en Copyright: © 2017 Omedo I et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Omedo, Irene
Mogeni, Polycarp
Rockett, Kirk
Kamau, Alice
Hubbart, Christina
Jeffreys, Anna
Ochola-Oyier, Lynette Isabella
de Villiers, Etienne P.
Gitonga, Caroline W.
Noor, Abdisalan M.
Snow, Robert W.
Kwiatkowski, Dominic
Bejon, Philip
Geographic-genetic analysis of Plasmodium falciparum parasite populations from surveys of primary school children in Western Kenya
title Geographic-genetic analysis of Plasmodium falciparum parasite populations from surveys of primary school children in Western Kenya
title_full Geographic-genetic analysis of Plasmodium falciparum parasite populations from surveys of primary school children in Western Kenya
title_fullStr Geographic-genetic analysis of Plasmodium falciparum parasite populations from surveys of primary school children in Western Kenya
title_full_unstemmed Geographic-genetic analysis of Plasmodium falciparum parasite populations from surveys of primary school children in Western Kenya
title_short Geographic-genetic analysis of Plasmodium falciparum parasite populations from surveys of primary school children in Western Kenya
title_sort geographic-genetic analysis of plasmodium falciparum parasite populations from surveys of primary school children in western kenya
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5527688/
https://www.ncbi.nlm.nih.gov/pubmed/28944299
http://dx.doi.org/10.12688/wellcomeopenres.11228.2
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