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Polymorphic markers for identification of parasite population in Plasmodium malariae

BACKGROUND: Molecular genotyping in Plasmodium serves many aims including providing tools for studying parasite population genetics and distinguishing recrudescence from reinfection. Microsatellite typing, insertion-deletion (INDEL) and single nucleotide polymorphisms is used for genotyping, but onl...

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Autores principales: Mathema, Vivek Bhakta, Nakeesathit, Supatchara, Pagornrat, Watcharee, Smithuis, Frank, White, Nicholas J., Dondorp, Arjen M., Imwong, Mallika
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
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Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6988369/
https://www.ncbi.nlm.nih.gov/pubmed/31992308
http://dx.doi.org/10.1186/s12936-020-3122-2
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author Mathema, Vivek Bhakta
Nakeesathit, Supatchara
Pagornrat, Watcharee
Smithuis, Frank
White, Nicholas J.
Dondorp, Arjen M.
Imwong, Mallika
author_facet Mathema, Vivek Bhakta
Nakeesathit, Supatchara
Pagornrat, Watcharee
Smithuis, Frank
White, Nicholas J.
Dondorp, Arjen M.
Imwong, Mallika
author_sort Mathema, Vivek Bhakta
collection PubMed
description BACKGROUND: Molecular genotyping in Plasmodium serves many aims including providing tools for studying parasite population genetics and distinguishing recrudescence from reinfection. Microsatellite typing, insertion-deletion (INDEL) and single nucleotide polymorphisms is used for genotyping, but only limited information is available for Plasmodium malariae, an important human malaria species. This study aimed to provide a set of genetic markers to facilitate the study of P. malariae population genetics. METHODS: Markers for microsatellite genotyping and pmmsp1 gene polymorphisms were developed and validated in symptomatic P. malariae field isolates from Myanmar (N = 37). Fragment analysis was used to determine allele sizes at each locus to calculate multiplicity of infections (MOI), linkage disequilibrium, heterozygosity and construct dendrograms. Nucleotide diversity (π), number of haplotypes, and genetic diversity (H(d)) were assessed and a phylogenetic tree was constructed. Genome-wide microsatellite maps with annotated regions of newly identified markers were constructed. RESULTS: Six microsatellite markers were developed and tested in 37 P. malariae isolates which showed sufficient heterozygosity (0.530–0.922), and absence of linkage disequilibrium (I(A)(S)=0.03, p value > 0.05) (N = 37). In addition, a tandem repeat (VNTR)-based pmmsp1 INDEL polymorphisms marker was developed and assessed in 27 P. malariae isolates showing a nucleotide diversity of 0.0976, haplotype gene diversity of 0.698 and identified 14 unique variants. The size of VNTR consensus repeat unit adopted as allele was 27 base pairs. The markers Pm12_426 and pmmsp1 showed greatest diversity with heterozygosity scores of 0.920 and 0.835, respectively. Using six microsatellites markers, the likelihood that any two parasite strains would have the same microsatellite genotypes was 8.46 × 10(−4) and was further reduced to 1.66 × 10(−4) when pmmsp1 polymorphisms were included. CONCLUSIONS: Six novel microsatellites genotyping markers and a set of pmmsp1 VNTR-based INDEL polymorphisms markers for P. malariae were developed and validated. Each marker could be independently or in combination employed to access genotyping of the parasite. The newly developed markers may serve as a useful tool for investigating parasite diversity, population genetics, molecular epidemiology and for distinguishing recrudescence from reinfection in drug efficacy studies.
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spelling pubmed-69883692020-02-03 Polymorphic markers for identification of parasite population in Plasmodium malariae Mathema, Vivek Bhakta Nakeesathit, Supatchara Pagornrat, Watcharee Smithuis, Frank White, Nicholas J. Dondorp, Arjen M. Imwong, Mallika Malar J Methodology BACKGROUND: Molecular genotyping in Plasmodium serves many aims including providing tools for studying parasite population genetics and distinguishing recrudescence from reinfection. Microsatellite typing, insertion-deletion (INDEL) and single nucleotide polymorphisms is used for genotyping, but only limited information is available for Plasmodium malariae, an important human malaria species. This study aimed to provide a set of genetic markers to facilitate the study of P. malariae population genetics. METHODS: Markers for microsatellite genotyping and pmmsp1 gene polymorphisms were developed and validated in symptomatic P. malariae field isolates from Myanmar (N = 37). Fragment analysis was used to determine allele sizes at each locus to calculate multiplicity of infections (MOI), linkage disequilibrium, heterozygosity and construct dendrograms. Nucleotide diversity (π), number of haplotypes, and genetic diversity (H(d)) were assessed and a phylogenetic tree was constructed. Genome-wide microsatellite maps with annotated regions of newly identified markers were constructed. RESULTS: Six microsatellite markers were developed and tested in 37 P. malariae isolates which showed sufficient heterozygosity (0.530–0.922), and absence of linkage disequilibrium (I(A)(S)=0.03, p value > 0.05) (N = 37). In addition, a tandem repeat (VNTR)-based pmmsp1 INDEL polymorphisms marker was developed and assessed in 27 P. malariae isolates showing a nucleotide diversity of 0.0976, haplotype gene diversity of 0.698 and identified 14 unique variants. The size of VNTR consensus repeat unit adopted as allele was 27 base pairs. The markers Pm12_426 and pmmsp1 showed greatest diversity with heterozygosity scores of 0.920 and 0.835, respectively. Using six microsatellites markers, the likelihood that any two parasite strains would have the same microsatellite genotypes was 8.46 × 10(−4) and was further reduced to 1.66 × 10(−4) when pmmsp1 polymorphisms were included. CONCLUSIONS: Six novel microsatellites genotyping markers and a set of pmmsp1 VNTR-based INDEL polymorphisms markers for P. malariae were developed and validated. Each marker could be independently or in combination employed to access genotyping of the parasite. The newly developed markers may serve as a useful tool for investigating parasite diversity, population genetics, molecular epidemiology and for distinguishing recrudescence from reinfection in drug efficacy studies. BioMed Central 2020-01-28 /pmc/articles/PMC6988369/ /pubmed/31992308 http://dx.doi.org/10.1186/s12936-020-3122-2 Text en © The Author(s) 2020 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.
spellingShingle Methodology
Mathema, Vivek Bhakta
Nakeesathit, Supatchara
Pagornrat, Watcharee
Smithuis, Frank
White, Nicholas J.
Dondorp, Arjen M.
Imwong, Mallika
Polymorphic markers for identification of parasite population in Plasmodium malariae
title Polymorphic markers for identification of parasite population in Plasmodium malariae
title_full Polymorphic markers for identification of parasite population in Plasmodium malariae
title_fullStr Polymorphic markers for identification of parasite population in Plasmodium malariae
title_full_unstemmed Polymorphic markers for identification of parasite population in Plasmodium malariae
title_short Polymorphic markers for identification of parasite population in Plasmodium malariae
title_sort polymorphic markers for identification of parasite population in plasmodium malariae
topic Methodology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6988369/
https://www.ncbi.nlm.nih.gov/pubmed/31992308
http://dx.doi.org/10.1186/s12936-020-3122-2
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