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Genotyping Plasmodium falciparum gametocytes using amplicon deep sequencing

  • Jimmy Vareta
  • , Natalie A. Horstman
  • , Matthew Adams
  • , Karl B. Seydel
  • , Robert S. McCann
  • , Lauren Cohee
  • , Miriam K. Laufer
  • , Shannon Takala-Harrison
  • University of Maryland, Baltimore
  • Johns Hopkins University
  • Kamuzu University of Health Sciences
  • Michigan State University

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)

Abstract

Background: Understanding the dynamics of gametocyte production in polyclonal Plasmodium falciparum infections requires a genotyping method that detects distinct gametocyte clones and estimates their relative frequencies. Here, a marker was identified and evaluated to genotype P. falciparum mature gametocytes using amplicon deep sequencing. Methods: A data set of polymorphic regions of the P. falciparum genome was mined to identify a gametocyte genotyping marker. To assess marker resolution, the number of unique haplotypes in the marker region was estimated from 95 Malawian P. falciparum whole genome sequences. Specificity of the marker for detection of mature gametocytes was evaluated using reverse transcription-polymerase chain reaction of RNA extracted from NF54 mature gametocytes and rings from a non-gametocyte-producing strain of P. falciparum. Amplicon deep sequencing was performed on experimental mixtures of mature gametocytes from two distinct parasite clones, as well as gametocyte-positive P. falciparum field isolates to evaluate the quantitative ability and determine the limit of detection of the genotyping approach. Results: A 400 bp region of the pfs230 gene was identified as a gametocyte genotyping marker. A larger number of unique haplotypes was observed at the pfs230 marker (34) compared to the sera-2 (18) and ama-1 (14) markers in field isolates from Malawi. RNA and DNA genotyping accurately estimated gametocyte and total parasite clone frequencies when evaluating agreement between expected and observed haplotype frequencies in gametocyte mixtures, with concordance correlation coefficients of 0.97 [95% CI: 0.92–0.99] and 0.92 [95% CI: 0.83–0.97], respectively. The detection limit of the genotyping method for male gametocytes was 0.41 pfmget transcripts/µl [95% CI: 0.28–0.72] and for female gametocytes was 1.98 ccp4 transcripts/µl [95% CI: 1.35–3.68]. Conclusions: A region of the pfs230 gene was identified as a marker to genotype P. falciparum gametocytes. Amplicon deep sequencing of this marker can be used to estimate the number and relative frequency of parasite clones among mature gametocytes within P. falciparum infections. This gametocyte genotyping marker will be an important tool for studies aimed at understanding dynamics of gametocyte production in polyclonal P. falciparum infections.
Original languageEnglish
Article number96
JournalMalaria Journal
Volume23
Issue number1
DOIs
Publication statusPublished - 1 Dec 2024
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Amplicon deep sequencing
  • Complexity of infection
  • Gametocyte genotyping
  • Malaria transmission
  • Plasmodium falciparum

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