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Genetic diversity and genetic relatedness in Plasmodium falciparum parasite population in individuals with uncomplicated malaria based on microsatellite typing in Eastern and Western regions of Uganda, 2019–2020

BACKGROUND: Genetic diversity and parasite relatedness are essential parameters for assessing impact of interventions and understanding transmission dynamics of malaria parasites, however data on its status in Plasmodium falciparum populations in Uganda is limited. Microsatellite markers and DNA seq...

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Autores principales: Bosco, Agaba B., Anderson, Karen, Gresty, Karryn, Prosser, Christiane, Smith, David, Nankabirwa, Joaniter I., Nsobya, Sam, Yeka, Adoke, Namubiru, Rhoda, Arinaitwe, Emmanuel, Mbaka, Paul, Kissa, John, Lim, Chae Seung, Karamagi, Charles, Nakayaga, Joan K., Kamya, Moses R., Cheng, Qin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8165787/
https://www.ncbi.nlm.nih.gov/pubmed/34059047
http://dx.doi.org/10.1186/s12936-021-03763-6
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author Bosco, Agaba B.
Anderson, Karen
Gresty, Karryn
Prosser, Christiane
Smith, David
Nankabirwa, Joaniter I.
Nsobya, Sam
Yeka, Adoke
Namubiru, Rhoda
Arinaitwe, Emmanuel
Mbaka, Paul
Kissa, John
Lim, Chae Seung
Karamagi, Charles
Nakayaga, Joan K.
Kamya, Moses R.
Cheng, Qin
author_facet Bosco, Agaba B.
Anderson, Karen
Gresty, Karryn
Prosser, Christiane
Smith, David
Nankabirwa, Joaniter I.
Nsobya, Sam
Yeka, Adoke
Namubiru, Rhoda
Arinaitwe, Emmanuel
Mbaka, Paul
Kissa, John
Lim, Chae Seung
Karamagi, Charles
Nakayaga, Joan K.
Kamya, Moses R.
Cheng, Qin
author_sort Bosco, Agaba B.
collection PubMed
description BACKGROUND: Genetic diversity and parasite relatedness are essential parameters for assessing impact of interventions and understanding transmission dynamics of malaria parasites, however data on its status in Plasmodium falciparum populations in Uganda is limited. Microsatellite markers and DNA sequencing were used to determine diversity and molecular characterization of P. falciparum parasite populations in Uganda. METHODS: A total of 147 P. falciparum genomic DNA samples collected from cross-sectional surveys in symptomatic individuals of 2–10 years were characterized by genotyping of seven highly polymorphic neutral microsatellite markers (n = 85) and genetic sequencing of the Histidine Rich Protein 2 (pfhrp2) gene (n = 62). ArcGIS was used to map the geographical distribution of isolates while statistical testing was done using Student's t-test or Wilcoxon's rank-sum test and Fisher’s exact test as appropriate at P ≤ 0.05. RESULTS: Overall, 75.5% (95% CI 61.1–85.8) and 24.5% (95% CI14.2–38.9) of parasites examined were of multiclonal (mixed genotype) and single clone infections, respectively. Multiclonal infections occurred more frequently in the Eastern region 73.7% (95% CI 48.8–89.1), P < 0.05. Overall, multiplicity of infection (MOI) was 1.9 (95% CI 1.7–2.1), P = 0.01 that was similar between age groups (1.8 vs 1.9), P = 0.60 and regions (1.9 vs 1.8), P = 0.43 for the < 5 and ≥ 5 years and Eastern and Western regions, respectively. Genomic sequencing of the pfhrp2 exon2 revealed a high level of genetic diversity reflected in 96.8% (60/62) unique sequence types. Repeat type AHHAAAHHATD and HRP2 sequence Type C were more frequent in RDT−/PCR + samples (1.9% vs 1.5%) and (13% vs 8%), P < 0.05 respectively. Genetic relatedness analysis revealed small clusters of gene deleted parasites in Uganda, but no clustering with Eritrean parasites. CONCLUSION: High level of genetic diversity of P. falciparum parasites reflected in the frequency of multiclonal infections, multiplicity of infection and variability of the pfhrp2 gene observed in this study is consistent with the high malaria transmission intensity in these settings. Parasite genetic analysis suggested spontaneous emergence and clonal expansion of pfhrp2 deleted parasites that require close monitoring to inform national malaria diagnosis and case management policies. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12936-021-03763-6.
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spelling pubmed-81657872021-06-01 Genetic diversity and genetic relatedness in Plasmodium falciparum parasite population in individuals with uncomplicated malaria based on microsatellite typing in Eastern and Western regions of Uganda, 2019–2020 Bosco, Agaba B. Anderson, Karen Gresty, Karryn Prosser, Christiane Smith, David Nankabirwa, Joaniter I. Nsobya, Sam Yeka, Adoke Namubiru, Rhoda Arinaitwe, Emmanuel Mbaka, Paul Kissa, John Lim, Chae Seung Karamagi, Charles Nakayaga, Joan K. Kamya, Moses R. Cheng, Qin Malar J Research BACKGROUND: Genetic diversity and parasite relatedness are essential parameters for assessing impact of interventions and understanding transmission dynamics of malaria parasites, however data on its status in Plasmodium falciparum populations in Uganda is limited. Microsatellite markers and DNA sequencing were used to determine diversity and molecular characterization of P. falciparum parasite populations in Uganda. METHODS: A total of 147 P. falciparum genomic DNA samples collected from cross-sectional surveys in symptomatic individuals of 2–10 years were characterized by genotyping of seven highly polymorphic neutral microsatellite markers (n = 85) and genetic sequencing of the Histidine Rich Protein 2 (pfhrp2) gene (n = 62). ArcGIS was used to map the geographical distribution of isolates while statistical testing was done using Student's t-test or Wilcoxon's rank-sum test and Fisher’s exact test as appropriate at P ≤ 0.05. RESULTS: Overall, 75.5% (95% CI 61.1–85.8) and 24.5% (95% CI14.2–38.9) of parasites examined were of multiclonal (mixed genotype) and single clone infections, respectively. Multiclonal infections occurred more frequently in the Eastern region 73.7% (95% CI 48.8–89.1), P < 0.05. Overall, multiplicity of infection (MOI) was 1.9 (95% CI 1.7–2.1), P = 0.01 that was similar between age groups (1.8 vs 1.9), P = 0.60 and regions (1.9 vs 1.8), P = 0.43 for the < 5 and ≥ 5 years and Eastern and Western regions, respectively. Genomic sequencing of the pfhrp2 exon2 revealed a high level of genetic diversity reflected in 96.8% (60/62) unique sequence types. Repeat type AHHAAAHHATD and HRP2 sequence Type C were more frequent in RDT−/PCR + samples (1.9% vs 1.5%) and (13% vs 8%), P < 0.05 respectively. Genetic relatedness analysis revealed small clusters of gene deleted parasites in Uganda, but no clustering with Eritrean parasites. CONCLUSION: High level of genetic diversity of P. falciparum parasites reflected in the frequency of multiclonal infections, multiplicity of infection and variability of the pfhrp2 gene observed in this study is consistent with the high malaria transmission intensity in these settings. Parasite genetic analysis suggested spontaneous emergence and clonal expansion of pfhrp2 deleted parasites that require close monitoring to inform national malaria diagnosis and case management policies. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12936-021-03763-6. BioMed Central 2021-05-31 /pmc/articles/PMC8165787/ /pubmed/34059047 http://dx.doi.org/10.1186/s12936-021-03763-6 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Bosco, Agaba B.
Anderson, Karen
Gresty, Karryn
Prosser, Christiane
Smith, David
Nankabirwa, Joaniter I.
Nsobya, Sam
Yeka, Adoke
Namubiru, Rhoda
Arinaitwe, Emmanuel
Mbaka, Paul
Kissa, John
Lim, Chae Seung
Karamagi, Charles
Nakayaga, Joan K.
Kamya, Moses R.
Cheng, Qin
Genetic diversity and genetic relatedness in Plasmodium falciparum parasite population in individuals with uncomplicated malaria based on microsatellite typing in Eastern and Western regions of Uganda, 2019–2020
title Genetic diversity and genetic relatedness in Plasmodium falciparum parasite population in individuals with uncomplicated malaria based on microsatellite typing in Eastern and Western regions of Uganda, 2019–2020
title_full Genetic diversity and genetic relatedness in Plasmodium falciparum parasite population in individuals with uncomplicated malaria based on microsatellite typing in Eastern and Western regions of Uganda, 2019–2020
title_fullStr Genetic diversity and genetic relatedness in Plasmodium falciparum parasite population in individuals with uncomplicated malaria based on microsatellite typing in Eastern and Western regions of Uganda, 2019–2020
title_full_unstemmed Genetic diversity and genetic relatedness in Plasmodium falciparum parasite population in individuals with uncomplicated malaria based on microsatellite typing in Eastern and Western regions of Uganda, 2019–2020
title_short Genetic diversity and genetic relatedness in Plasmodium falciparum parasite population in individuals with uncomplicated malaria based on microsatellite typing in Eastern and Western regions of Uganda, 2019–2020
title_sort genetic diversity and genetic relatedness in plasmodium falciparum parasite population in individuals with uncomplicated malaria based on microsatellite typing in eastern and western regions of uganda, 2019–2020
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8165787/
https://www.ncbi.nlm.nih.gov/pubmed/34059047
http://dx.doi.org/10.1186/s12936-021-03763-6
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