Publication
Title
Selective whole-genome sequencing of Plasmodium parasites directly from blood samples by nanopore adaptive sampling
Author
Abstract
Whole-genome sequencing of Plasmodium is becoming an increasingly important tool for genomic surveillance of malaria. Due to the predominance of human DNA in a patient blood sample, time-consuming laboratory procedures are required to deplete human DNA or enrich Plasmodium DNA. Here, we investigated the potential of nanopore adaptive sampling to enrich Plasmodium falciparum reads while sequencing unenriched patient blood samples. To compare adaptive sampling versus regular sequencing on a MinION device, a dilution series consisting of 0%–84% P . falciparum DNA in human DNA was sequenced. Half of the flow cell channels were run in adaptive sampling mode, enriching for the P. falciparum reference genome, resulting in a three- to five-fold enrichment of P. falciparum bases in samples containing 0.1%–8.4% P. falciparum DNA. This finding was confirmed by sequencing three P. falciparum patient blood samples with common levels of parasitemia, that is, 0.1%, 0.2%, and 0.6% in adaptive mode. Their estimated enrichment was 5.8, 3.9, and 2.7, respectively, which was sufficient to cover at least 97% of the P. falciparum reference genome at a median depth of 5 (lowest parasitemia) or 355 (highest parasitemia). In all, 38 drug resistance loci were compared to Sanger sequencing results, showing high concordance, which suggests that the obtained sequencing data are of sufficient quality to address common clinical research questions for patients with parasitemias of 0.1% and higher. Overall, our results indicate that adaptive nanopore sequencing has the potential to replace more time-consuming Plasmodium enrichment protocols in the future.
Language
English
Source (journal)
mBio / American Society for Microbiology. - Washington, D.C., 2010, currens
Publication
Washington, D.C. : American Society for Microbiology , 2024
ISSN
2150-7511
DOI
10.1128/MBIO.01967-23
Volume/pages
15 :1 (2024) , p. 1-15
Article Reference
e01967-23
ISI
001114831100001
Pubmed ID
38054750
Full text (Publisher's DOI)
Full text (open access)
UAntwerpen
Faculty/Department
Research group
Project info
LeapSEQ: Lean data processing solutions for adaptive and portable genome sequencing, applied to infectious disease monitoring.
Publication type
Subject
Affiliation
Publications with a UAntwerp address
External links
Web of Science
Record
Identifier
Creation 07.12.2023
Last edited 10.03.2024
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