ArticlePloS one2015
Plasmodium knowlesi genome sequences from clinical isolates reveal extensive genomic dimorphism.
Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers.
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Who cites it
45 citing papers in PubMed.
- Benchmarking of real-time, field-deployable whole-genome sequencing ofMicrobial genomics · 2026Article
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- Structural and functional insights from detailed computational analysis ofJournal of genetics · 2026Article
- Article
- Genomic epidemiology of Plasmodium knowlesi reveals putative genetic drivers of adaptation in Malaysia.PLoS neglected tropical diseases · 2025Article
- Leveraging genomic insights from the neglected malaria parasites P. malariae and P. ovale using selective whole genome amplification (SWGA) approach.BMC genomics · 2025Article
- Limited Polymorphism in the Dihydrofolate Reductase (dhfr) and dihydropteroate synthase genes (dhps) of Plasmodium knowlesi isolate from Thailand.Acta tropica · 2023Article
- In Silico Analysis Reveals High Levels of Genetic Diversity ofTropical medicine and infectious disease · 2023Article
- Population genetic analysis of Plasmodium knowlesi reveals differential selection and exchange events between Borneo and Peninsular sub-populations.Scientific reports · 2023Article
- Article
- Systems biology of malaria explored with nonhuman primates.Malaria journal · 2022Review
- Plasmodium knowlesi: the game changer for malaria eradication.Malaria journal · 2022Review
- Article
- Malaria in the 'Omics Era'.Genes · 2021Review
- Article
- Identification, Mapping, and Genetic Diversity of Novel Conserved Cross-Species Epitopes of RhopH2 inFrontiers in cellular and infection microbiology · 2021Article
- Clinical management of Plasmodium knowlesi malaria.Advances in parasitology · 2021Review
- Population Genomic Structure and Recent Evolution of Plasmodium knowlesi, Peninsular Malaysia.Emerging infectious diseases · 2020Article
- Functional genomics of simian malaria parasites and host-parasite interactions.Briefings in functional genomics · 2019Review
- Low Levels of Polymorphisms and Negative Selection in Plasmodum knowlesi Merozoite Surface Protein 8 in Malaysian Isolates.The Korean journal of parasitology · 2019Article
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9 authors.
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Abstract
Plasmodium knowlesi is a newly described zoonosis that causes malaria in the human population that can be severe and fatal. The study of P. knowlesi parasites from human clinical isolates is relatively new and, in order to obtain maximum information from patient sample collections, we explored the possibility of generating P. knowlesi genome sequences from archived clinical isolates. Our patient sample collection consisted of frozen whole blood samples that contained excessive human DNA contamination and, in that form, were not suitable for parasite genome sequencing. We developed a method to reduce the amount of human DNA in the thawed blood samples in preparation for high throughput parasite genome sequencing using Illumina HiSeq and MiSeq sequencing platforms. Seven of fifteen samples processed had sufficiently pure P. knowlesi DNA for whole genome sequencing. The reads were mapped to the P. knowlesi H strain reference genome and an average mapping of 90% was obtained. Genes with low coverage were removed leaving 4623 genes for subsequent analyses. Previously we identified a DNA sequence dimorphism on a small fragment of the P. knowlesi normocyte binding protein xa gene on chromosome 14. We used the genome data to assemble full-length Pknbpxa sequences and discovered that the dimorphism extended along the gene. An in-house algorithm was developed to detect SNP sites co-associating with the dimorphism. More than half of the P. knowlesi genome was dimorphic, involving genes on all chromosomes and suggesting that two distinct types of P. knowlesi infect the human population in Sarawak, Malaysian Borneo. We use P. knowlesi clinical samples to demonstrate that Plasmodium DNA from archived patient samples can produce high quality genome data. We show that analyses, of even small numbers of difficult clinical malaria isolates, can generate comprehensive genomic information that will improve our understanding of malaria parasite diversity and pathobiology.
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