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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

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          Abstract

          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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          Most cited references39

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          Microsatellite markers reveal a spectrum of population structures in the malaria parasite Plasmodium falciparum.

          Multilocus genotyping of microbial pathogens has revealed a range of population structures, with some bacteria showing extensive recombination and others showing almost complete clonality. The population structure of the protozoan parasite Plasmodium falciparum has been harder to evaluate, since most studies have used a limited number of antigen-encoding loci that are known to be under strong selection. We describe length variation at 12 microsatellite loci in 465 infections collected from 9 locations worldwide. These data reveal dramatic differences in parasite population structure in different locations. Strong linkage disequilibrium (LD) was observed in six of nine populations. Significant LD occurred in all locations with prevalence <1% and in only two of five of the populations from regions with higher transmission intensities. Where present, LD results largely from the presence of identical multilocus genotypes within populations, suggesting high levels of self-fertilization in populations with low levels of transmission. We also observed dramatic variation in diversity and geographical differentiation in different regions. Mean heterozygosities in South American countries (0.3-0.4) were less than half those observed in African locations (0. 76-0.8), with intermediate heterozygosities in the Southeast Asia/Pacific samples (0.51-0.65). Furthermore, variation was distributed among locations in South America (F:(ST) = 0.364) and within locations in Africa (F:(ST) = 0.007). The intraspecific patterns of diversity and genetic differentiation observed in P. falciparum are strikingly similar to those seen in interspecific comparisons of plants and animals with differing levels of outcrossing, suggesting that similar processes may be involved. The differences observed may also reflect the recent colonization of non-African populations from an African source, and the relative influences of epidemiology and population history are difficult to disentangle. These data reveal a range of population structures within a single pathogen species and suggest intimate links between patterns of epidemiology and genetic structure in this organism.
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            Current trends in microsatellite genotyping.

            Microsatellites have been popular molecular markers ever since their advent in the late eighties. Despite growing competition from new genotyping and sequencing techniques, the use of these versatile and cost-effective markers continues to increase, boosted by successive technical advances. First, methods for multiplexing PCR have considerably improved over the last years, thereby decreasing genotyping costs and increasing throughput. Second, next-generation sequencing technologies allow the identification of large numbers of microsatellite loci at reduced cost in non-model species. As a consequence, more stringent selection of loci is possible, thereby further enhancing multiplex quality and efficiency. However, current practices are lagging behind. By surveying recently published population genetic studies relying on simple sequence repeats, we show that more than half of the studies lack appropriate quality controls and do not make use of multiplex PCR. To make the most of the latest technical developments, we outline the need for a well-established strategy including standardized high-throughput bench protocols and specific bioinformatic tools, from primer design to allele calling. © 2011 Blackwell Publishing Ltd.
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              Twelve microsatellite markers for characterization of Plasmodium falciparum from finger-prick blood samples.

              Multiple, selectively neutral genetic markers are the most appropriate tools for analysis of parasite population structure and epidemiology, but yet existing methods for characterization of malaria field samples utilize a limited number of antigen encoding genes, which appear to be under strong selection. We describe protocols for characterization of 12 microsatellite markers from finger-prick blood samples infected with Plasmodium falciparum. A two-step, heminested strategy was used to amplify all loci, and products were visualized by fluorescent end-labelling of internal primers. This procedure allows amplification from low levels of template, while eliminating the problem of spurious products due to primer carry over from the primary round of PCR. The loci can be conveniently multiplexed, while accurate sizing and quantification of PCR products can be automated using the GENOTYPER software. The primers do not amplify co-infecting malaria species such as P. vivax and P. malariae. To demonstrate the utility of these markers, we characterized 57 infected finger-prick blood samples from the village of Mebat in Papua New Guinea for all 12 loci, and all samples were genotyped a second time to measure reproducibility. Numbers of alleles per locus range from 4 to 10 in this population, while heterozygosities range from 0.21 to 0.87. Reproducibility (measured as concordance between predominant alleles detected in replicate samples) ranged from 92 to 98% for the 12 loci. The composition of PCR products from infections containing multiple malaria clones could also be defined using strict criteria and scored in a highly repeatable manner.
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                Author and article information

                Contributors
                bagaba2011@gmail.com
                Journal
                Malar J
                Malar J
                Malaria Journal
                BioMed Central (London )
                1475-2875
                31 May 2021
                31 May 2021
                2021
                : 20
                : 242
                Affiliations
                [1 ]GRID grid.11194.3c, ISNI 0000 0004 0620 0548, College of Health Sciences, Makerere University, ; Kampala, Uganda
                [2 ]National Malaria Control Division, Kampala, Uganda
                [3 ]GRID grid.1049.c, ISNI 0000 0001 2294 1395, QIMR Berghofer Medical Research Institute, ; Brisbane, QLD Australia
                [4 ]Australian Defence Force Malaria and Infectious Disease Institute, Brisbane, Australia
                [5 ]GRID grid.463352.5, Infectious Diseases Research Collaboration, ; Kampala, Uganda
                [6 ]World Health Organization Country Office, Kampala, Uganda
                [7 ]GRID grid.415705.2, National Health Information Division, Ministry of Health, ; Kampala, Uganda
                [8 ]GRID grid.222754.4, ISNI 0000 0001 0840 2678, Department of Laboratory Medicine, , College of Health Sciences, Korea University, ; Seoul, South Korea
                Author information
                http://orcid.org/0000-0003-4601-5171
                Article
                3763
                10.1186/s12936-021-03763-6
                8165787
                34059047
                36fbe562-c114-4c2c-ba13-51990fff2fa1
                © The Author(s) 2021

                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/. The Creative Commons Public Domain Dedication waiver ( http://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.

                History
                : 6 March 2021
                : 11 May 2021
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/100000061, Fogarty International Center;
                Award ID: D43TW010526
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/100000005, U.S. Department of Defense;
                Award ID: P0008-19-AM
                Award Recipient :
                Categories
                Research
                Custom metadata
                © The Author(s) 2021

                Infectious disease & Microbiology
                malaria,rapid diagnostic tests,genetic diversity,multiplicity of infection,multiclonal infections,parasite relatedness,pfhrp2 deletion,microsatellite markers

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