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Comparison of molecular surveillance methods to assess changes in the population genetics of Plasmodium falciparum in high transmission.
Ghansah, Anita; Tiedje, Kathryn E; Argyropoulos, Dionne C; Onwona, Christiana O; Deed, Samantha L; Labbé, Frédéric; Oduro, Abraham R; Koram, Kwadwo A; Pascual, Mercedes; Day, Karen P.
Afiliación
  • Ghansah A; Department of Parasitology, Noguchi Memorial Institute for Medical Research, University of Ghana, Legon, Ghana.
  • Tiedje KE; Department of Microbiology and Immunology, The University of Melbourne, Bio21 Institute and Peter Doherty Institute, Melbourne, VIC, Australia.
  • Argyropoulos DC; Department of Microbiology and Immunology, The University of Melbourne, Bio21 Institute and Peter Doherty Institute, Melbourne, VIC, Australia.
  • Onwona CO; Department of Parasitology, Noguchi Memorial Institute for Medical Research, University of Ghana, Legon, Ghana.
  • Deed SL; Department of Microbiology and Immunology, The University of Melbourne, Bio21 Institute and Peter Doherty Institute, Melbourne, VIC, Australia.
  • Labbé F; Department Ecology and Evolution, The University of Chicago, Chicago, IL, United States.
  • Oduro AR; Navrongo Health Research Centre, Ghana Health Service, Navrongo, Ghana.
  • Koram KA; Epidemiology Department, Noguchi Memorial Institute for Medical Research, University of Ghana, Legon, Ghana.
  • Pascual M; Department Ecology and Evolution, The University of Chicago, Chicago, IL, United States.
  • Day KP; Santa Fe Institute, Santa Fe, NM, United States.
Article en En | MEDLINE | ID: mdl-38031549
A major motivation for developing molecular methods for malaria surveillance is to measure the impact of control interventions on the population genetics of Plasmodium falciparum as a potential marker of progress towards elimination. Here we assess three established methods (i) single nucleotide polymorphism (SNP) barcoding (panel of 24-biallelic loci), (ii) microsatellite genotyping (panel of 12-multiallelic loci), and (iii) varcoding (fingerprinting var gene diversity, akin to microhaplotyping) to identify changes in parasite population genetics in response to a short-term indoor residual spraying (IRS) intervention. Typical of high seasonal transmission in Africa, multiclonal infections were found in 82.3% (median 3; range 1-18) and 57.8% (median 2; range 1-12) of asymptomatic individuals pre- and post-IRS, respectively, in Bongo District, Ghana. Since directly phasing multilocus haplotypes for population genetic analysis is not possible for biallelic SNPs and microsatellites, we chose ~200 low-complexity infections biased to single and double clone infections for analysis. Each genotyping method presented a different pattern of change in diversity and population structure as a consequence of variability in usable data and the relative polymorphism of the molecular markers (i.e., SNPs < microsatellites < var). Varcoding and microsatellite genotyping showed the overall failure of the IRS intervention to significantly change the population structure from pre-IRS characteristics (i.e., many diverse genomes of low genetic similarity). The 24-SNP barcode provided limited information for analysis, largely due to the biallelic nature of SNPs leading to a high proportion of double-allele calls and a view of more isolate relatedness compared to microsatellites and varcoding. Relative performance, suitability, and cost-effectiveness of the methods relevant to sample size and local malaria elimination in high-transmission endemic areas are discussed.
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Texto completo: 1 Base de datos: MEDLINE Idioma: En Revista: Front Parasitol Año: 2023 Tipo del documento: Article

Texto completo: 1 Base de datos: MEDLINE Idioma: En Revista: Front Parasitol Año: 2023 Tipo del documento: Article