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dc.contributor.authorOresegun, Damilola R.
dc.contributor.authorDaneshvar, Cyrus
dc.contributor.authorCox-Singh, Janet
dc.date.accessioned2021-03-22T15:30:02Z
dc.date.available2021-03-22T15:30:02Z
dc.date.issued2021-03-02
dc.identifier272709006
dc.identifierea761fe7-2d9a-4afb-84b1-d536564a610e
dc.identifier000629014400001
dc.identifier85102823326
dc.identifier.citationOresegun , D R , Daneshvar , C & Cox-Singh , J 2021 , ' Plasmodium knowlesi – clinical isolate genome sequencing to inform translational same-species model system for severe malaria ' , Frontiers in Cellular and Infection Microbiology , vol. 11 , 607686 . https://doi.org/10.3389/fcimb.2021.607686en
dc.identifier.issn2235-2988
dc.identifier.otherORCID: /0000-0003-4878-5188/work/91340921
dc.identifier.otherORCID: /0000-0003-3762-3802/work/91341046
dc.identifier.urihttps://hdl.handle.net/10023/21681
dc.descriptionDRO is supported by the Wellcome Trust ISSF award 204821/Z/16/Z. Bioinformatics and computational biology analyses were supported by the University of St Andrews Bioinformatics Unit (AMD3BIOINF), funded by Wellcome Trust ISSF award 105621/Z/14/Z. The sample BioBank was compiled with informed consent (Medial Research Council, www.mrc.ac.uk, grant G0801971). Genome sequencing was supported by Tenovus Scotland (T16/03).en
dc.description.abstractMalaria 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.
dc.format.extent8
dc.format.extent685036
dc.language.isoeng
dc.relation.ispartofFrontiers in Cellular and Infection Microbiologyen
dc.subjectPlasmodium knowlesien
dc.subjectMiniONen
dc.subjectParasite virulenceen
dc.subjectSevere malariaen
dc.subjectTranslational model systemen
dc.subjectQR Microbiologyen
dc.subjectRC Internal medicineen
dc.subjectT-NDASen
dc.subjectSDG 3 - Good Health and Well-beingen
dc.subject.lccQRen
dc.subject.lccRCen
dc.titlePlasmodium knowlesi – clinical isolate genome sequencing to inform translational same-species model system for severe malariaen
dc.typeJournal articleen
dc.contributor.sponsorThe Wellcome Trusten
dc.contributor.sponsorThe Wellcome Trusten
dc.contributor.institutionUniversity of St Andrews. Infection and Global Health Divisionen
dc.contributor.institutionUniversity of St Andrews. School of Medicineen
dc.contributor.institutionUniversity of St Andrews. St Andrews Bioinformatics Uniten
dc.contributor.institutionUniversity of St Andrews. Centre for Research into Equality, Diversity & Inclusionen
dc.contributor.institutionUniversity of St Andrews. Biomedical Sciences Research Complexen
dc.identifier.doihttps://doi.org/10.3389/fcimb.2021.607686
dc.description.statusPeer revieweden
dc.identifier.grantnumber204821/Z/16/Zen
dc.identifier.grantnumber105621/Z/14/Zen


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