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Whole genome sequencing of amplified Plasmodium knowlesi DNA from unprocessed blood reveals genetic exchange events between Malaysian Peninsular and Borneo subpopulations.

Ernest Diez Benavente | Ana Rita Gomes | Jeremy Ryan De Silva | Matthew Grigg | Harriet Walker | Bridget E Barber | Timothy William | Tsin Wen Yeo | Paola Florez de Sessions | Abhinay Ramaprasad | Amy Ibrahim | James Charleston | Martin L Hibberd | Arnab Pain | Robert W Moon | Sarah Auburn | Lau Yee Ling | Nicholas M Anstey | Taane G Clark | Susana Campino
Scientific reports | 2019

The zoonotic Plasmodium knowlesi parasite is the most common cause of human malaria in Malaysia. Genetic analysis has shown that the parasites are divided into three subpopulations according to their geographic origin (Peninsular or Borneo) and, in Borneo, their macaque host (Macaca fascicularis or M. nemestrina). Whilst evidence suggests that genetic exchange events have occurred between the two Borneo subpopulations, the picture is unclear in less studied Peninsular strains. One difficulty is that P. knowlesi infected individuals tend to present with low parasitaemia leading to samples with insufficient DNA for whole genome sequencing. Here, using a parasite selective whole genome amplification approach on unprocessed blood samples, we were able to analyse recent genomes sourced from both Peninsular Malaysia and Borneo. The analysis provides evidence that recombination events are present in the Peninsular Malaysia parasite subpopulation, which have acquired fragments of the M. nemestrina associated subpopulation genotype, including the DBPβ and NBPXa erythrocyte invasion genes. The NBPXb invasion gene has also been exchanged within the macaque host-associated subpopulations of Malaysian Borneo. Our work provides strong evidence that exchange events are far more ubiquitous than expected and should be taken into consideration when studying the highly complex P. knowlesi population structure.

Pubmed ID: 31285495

Research resources used in this publication

None found

Additional research tools detected in this publication

Antibodies used in this publication

None found

Associated grants

  • Agency: Medical Research Council, United Kingdom
    Id: MR/M021157/1
  • Agency: Medical Research Council, United Kingdom
    Id: MR/M01360X/1
  • Agency: Medical Research Council, United Kingdom
    Id: MR/N010469/1
  • Agency: Medical Research Council, United Kingdom
    Id: MR/R025576/1
  • Agency: Medical Research Council, United Kingdom
    Id: MR/R020973/1
  • Agency: Biotechnology and Biological Sciences Research Council, United Kingdom
    Id: BB/R013063/1

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This is a list of tools and resources that we have found mentioned in this publication.


estMOI (tool)

RRID:SCR_006192

A per-based software to estimate multiplicity of infection (MOI) in parasite genomic sequence data. It is primarily developed to address the limitations of current laboratory (PCR) based estimates of multiplicity using high throughput sequence data. It requires a BAM (alignment output of short reads to the reference genome), VCF (a file with information on variant calls) and FASTA (reference genome) files. # Short reads are aligned to a reference genome using BWA, BOWTIE, SMALT or other short read aligners to generate a BAM file. # Single Nucleotide Polymorphisms (SNPs) are then identified using SAMTools/BCFtools and stored in the VCF format. # The reference FASTA file is expected to be indexed using ''samtools faidx'' to generate a *.fai file. estMOI generates files containing MOI estimates for each SNP combinations (file with name *.log) and a summary for all chromosomes (file with name *.txt).

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New England Biolabs (tool)

RRID:SCR_013517

An Antibody supplier

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