Plasmodium knowlesi - Clinical Isolate Genome Sequencing to Inform Translational Same-Species Model System for Severe Malaria

Malaria is responsible for unacceptably high morbidity and mortality, especially in Sub-Saharan African Nations. Malaria is caused by member species' of the genus and despite concerted and at times valiant efforts, the underlying pathophysiological processes leading to severe disease are poorly...

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Bibliographic Details
Published in:Frontiers in cellular and infection microbiology 2021-03, Vol.11, p.607686-607686
Main Authors: Oresegun, Damilola R, Daneshvar, Cyrus, Cox-Singh, Janet
Format: Article
Language:English
Subjects:
Animals
Base Sequence
Cellular and Infection Microbiology
Chromosome Mapping
Humans
Malaria
MinION
parasite virulence
Parasites
Plasmodium knowlesi
Plasmodium knowlesi - genetics
severe malaria
translational model system
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Summary:Malaria is responsible for unacceptably high morbidity and mortality, especially in Sub-Saharan African Nations. Malaria is caused by member species' of the genus and despite concerted and at times valiant efforts, the underlying pathophysiological processes leading to severe disease are poorly understood. Here we describe zoonotic malaria caused by and the utility of this parasite as a model system for severe malaria. We present a method to generate long-read third-generation genome sequence data from archived clinical samples using the MinION platform. The method and technology are accessible, affordable and data is generated in real-time. We propose that by widely adopting this methodology important information on clinically relevant parasite diversity, including multiple gene family members, from geographically distinct study sites will emerge. Our goal, over time, is to exploit the duality of as a well-used laboratory model and human pathogen to develop a representative translational model system for severe malaria that is informed by clinically relevant parasite diversity.
ISSN:2235-2988
2235-2988
DOI:10.3389/fcimb.2021.607686