Dataset Information

Identification of a polymorphic Plasmodium vivax microsatellite marker.

ABSTRACT: Microsatellite markers derived from simple sequence repeats have been useful in studying a number of human pathogens, including the human malaria parasite Plasmodium falciparum. Genetic markers for P. vivax would likewise help elucidate the genetics and population characteristics of this other important human malaria parasite. We have identified a locus in a P. vivax telomeric clone that contains simple sequence repeats. Primers were designed to amplify this region using a two-step semi-nested polymerase chain reaction protocol. The primers did not amplify template obtained from non-infected individuals, nor DNA from primates infected with the other human malaria parasites (P. ovale, P. malariae, or P. falciparum). The marker was polymorphic in P. vivax-infected field isolates obtained from Papua New Guinea, Indonesia and Guyana. This microsatellite marker may be useful in genetic and epidemiologic studies of P. vivax malaria.

SUBMITTER: Gomez JC

PROVIDER: S-EPMC3728893 | biostudies-literature | 2003 Oct

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Identification of a polymorphic Plasmodium vivax microsatellite marker.

Gomez John C JC McNamara David T DT Bockarie Moses J MJ Baird J Kevin JK Carlton Jane M JM Zimmerman Peter A PA

The American journal of tropical medicine and hygiene 20031001 4

Microsatellite markers derived from simple sequence repeats have been useful in studying a number of human pathogens, including the human malaria parasite Plasmodium falciparum. Genetic markers for P. vivax would likewise help elucidate the genetics and population characteristics of this other important human malaria parasite. We have identified a locus in a P. vivax telomeric clone that contains simple sequence repeats. Primers were designed to amplify this region using a two-step semi-nested p ...[more]

PMID: 14640496

Similar Datasets

Project description:Microsatellite (MS) markers have become an important tool for studying the population diversity, evolutionary history and multiplicity of infection (MOI) of malaria parasite infections. MS are typically selected on the basis of being highly polymorphic. However, it is known that the polymorphic potential (mutability) of each marker can vary as much as two orders of magnitude, which radically changes how diversity is represented in the genome from one marker to the next. Over the past decade, approximately 240 Plasmodium vivax MS have been published, comprising nine major panels of markers. Inconsistent usage of each panel has resulted in a surfeit of descriptive genetic diversity data that are largely incomparable between populations. The objective of this study was to statistically evaluate the quality of individual MS markers in order to validate a refined panel of markers that will provide a balanced picture of P. vivax population diversity.All previously published data, including genetic diversity indices, MS parameters, and population parameters, were assembled from 18 different global studies into a flat file to facilitate statistical analysis and modelling using JMP® Genomics 6.0 (SAS Institute Inc, Cary, NC, USA). Statistical modeling was employed to down-select markers with extreme variation among the mean number of alleles, expected heterozygosity, maximum repeat length and/or chromosomal location of the repeat. Individual MS were analysed by step-down whole model linear regression and standard least squares fit models, both stratified by annual parasite incidence to identify MS markers with values significantly different from the mean.Of the 42 MS under evaluation in this study, 18 (nine high priority) were identified as ideal candidates for measuring population diversity between global regions, while five (two high priority) additional markers were identified as candidates for MOI studies.MS diversity was found to be a function of endemicity and motif structure. Evaluation of individual MS permitted the assembly of a refined panel of markers that can be reliably utilized in the field to compare population structures between global regions.

Project description:BackgroundGenomic surveillance of malaria parasite populations has the potential to inform control strategies and to monitor the impact of interventions. Barcodes comprising large numbers of single nucleotide polymorphism (SNP) markers are accurate and efficient genotyping tools, however may need to be tailored to specific malaria transmission settings, since 'universal' barcodes can lack resolution at the local scale. A SNP barcode was developed that captures the diversity and structure of Plasmodium vivax populations of Papua New Guinea (PNG) for research and surveillance.MethodsUsing 20 high-quality P. vivax genome sequences from PNG, a total of 178 evenly spaced neutral SNPs were selected for development of an amplicon sequencing assay combining a series of multiplex PCRs and sequencing on the Illumina MiSeq platform. For initial testing, 20 SNPs were amplified in a small number of mono- and polyclonal P. vivax infections. The full barcode was then validated by genotyping and population genetic analyses of 94 P. vivax isolates collected between 2012 and 2014 from four distinct catchment areas on the highly endemic north coast of PNG. Diversity and population structure determined from the SNP barcode data was then benchmarked against that of ten microsatellite markers used in previous population genetics studies.ResultsFrom a total of 28,934,460 reads generated from the MiSeq Illumina run, 87% mapped to the PvSalI reference genome with deep coverage (median?=?563, range 56-7586) per locus across genotyped samples. Of 178 SNPs assayed, 146 produced high-quality genotypes (minimum coverage?=?56X) in more than 85% of P. vivax isolates. No amplification bias was introduced due to either polyclonal infection or whole genome amplification (WGA) of samples before genotyping. Compared to the microsatellite panels, the SNP barcode revealed greater variability in genetic diversity between populations and geographical population structure. The SNP barcode also enabled assignment of genotypes according to their geographic origins with a significant association between genetic distance and geographic distance at the sub-provincial level.ConclusionsHigh-throughput SNP barcoding can be used to map variation of malaria transmission dynamics at sub-national resolution. The low cost per sample and genotyping strategy makes the transfer of this technology to field settings highly feasible.

Dataset Information

Identification of a polymorphic Plasmodium vivax microsatellite marker.

Publications

Identification of a polymorphic Plasmodium vivax microsatellite marker.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets