Indel-informed Bayesian analysis suggests cryptic population structure between Plasmodium knowlesi of humans and

JustinJ S Wilcox1, Abigail Kerschner1, Hope Hollocher1

  • 1Department of Biological Sciences, University of Notre Dame, Notre Dame, IN 46556-5688, USA.

Insights

This study reveals distinct Plasmodium knowlesi genetic structures in humans and macaques, suggesting host-specific strains and complex zoonotic transmission patterns for this important malaria parasite.

Area of Science:

  • Genetics
  • Parasitology
  • Epidemiology

Background:

  • Plasmodium knowlesi is a significant cause of human malaria in Southeast Asia.
  • Macaques are natural hosts, but transmission dynamics between hosts remain unclear.
  • Understanding P. knowlesi population structure is crucial for malaria control.

Purpose of the Study:

  • To investigate cryptic population genetic structure of P. knowlesi in humans and macaques.
  • To analyze transmission patterns between human and macaque hosts in Borneo.
  • To clarify the zoonotic potential and host-specific infection dynamics.

Main Methods:

  • Comprehensive phylogenetic analysis using archival 18S ribosomal RNA (rRNA) gene sequences.
  • Inclusion of insertion/deletion data in phylogenetic inference.
  • Application of Bayesian phylogenetic inference to distinguish host-associated clades.

Main Results:

  • Distinct P. knowlesi clades were identified for human and macaque hosts at both A-type and S-type 18S rRNA gene loci.
  • Significant partitioning of sequence distances between host species was observed.
  • Sequences of the same locus type showed biased assortment into host-specific clades.

Conclusions:

  • Results support the zoonotic potential of P. knowlesi.
  • Suggests humans may be preferentially infected by specific P. knowlesi strains.
  • Highlights the complex epidemiology and need for further transmission studies.

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