| Literature DB >> 33738266 |
Damilola R Oresegun1, Cyrus Daneshvar1, Janet Cox-Singh1.
Abstract
Malaria is responsible for unacceptably high morbidity and mortality, especially in Sub-Saharan African Nations. Malaria is caused by member species' of the genus Plasmodium 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 Plasmodium knowlesi and the utility of this parasite as a model system for severe malaria. We present a method to generate long-read third-generation Plasmodium 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 P. knowlesi 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.Entities:
Keywords: MinION; Plasmodium knowlesi; parasite virulence; severe malaria; translational model system
Mesh:
Year: 2021 PMID: 33738266 PMCID: PMC7960762 DOI: 10.3389/fcimb.2021.607686
Source DB: PubMed Journal: Front Cell Infect Microbiol ISSN: 2235-2988 Impact factor: 5.293