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dc.contributor.authorOresegun, Damilola R.
dc.contributor.authorThorpe, Peter
dc.contributor.authorBenavente, Ernest D.
dc.contributor.authorCampino, Susanna
dc.contributor.authorFauzi, Muh
dc.contributor.authorMoon, Robert W.
dc.contributor.authorClark, Taane G.
dc.contributor.authorCox-Singh, Janet
dc.date.accessioned2022-05-24T08:30:08Z
dc.date.available2022-05-24T08:30:08Z
dc.date.issued2022-05-23
dc.identifier.citationOresegun , D R , Thorpe , P , Benavente , E D , Campino , S , Fauzi , M , Moon , R W , Clark , T G & Cox-Singh , J 2022 , ' De novo assembly of Plasmodium knowlesi genomes from clinical samples explain the counterintuitive intrachromosomal organization of variant SICAvar and kir multiple gene family members ' , Frontiers in Genetics , vol. 13 , 855052 . https://doi.org/10.3389/fgene.2022.855052en
dc.identifier.issn1664-8021
dc.identifier.otherPURE: 279051284
dc.identifier.otherPURE UUID: f36aebd5-f81b-46e1-882b-5162e758880a
dc.identifier.otherORCID: /0000-0003-3762-3802/work/113703153
dc.identifier.otherORCID: /0000-0003-4878-5188/work/113703347
dc.identifier.otherScopus: 85131887858
dc.identifier.otherWOS: 000807120800001
dc.identifier.urihttps://hdl.handle.net/10023/25433
dc.descriptionDRO is supported by the Wellcome Trust ISSF award https://wellcome.org/what-we- do/our-work/institutional-strategic-support-fund 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 https://wellcome.org/what-we-do/our-work/institutional-strategic-support-fund award 105621/Z/14/Z and 204821/Z/16/Z. JCS - The sample BioBank was compiled with informed consent (Medial Research Council, www.mrc.ac.uk, grant G0801971). JCS - Genome sequencing was supported by Tenovus Scotland (https://tenovus- scotland.org.uk T16/03). TGC is funded by the Medical Research Council UK www.mrc.ac.uk (Grant no. MR/M01360X/1, MR/N010469/1, MR/R025576/1, and MR/R020973/1) and BBSRC (Grant no. BB/R013063/1). SC is funded by Medical Research Council UK grants www.mrc.ac.uk (ref. MR/M01360X/1, MR/R025576/1, and MR/R020973/1).en
dc.description.abstractPlasmodium knowlesi, a malaria parasite of Old World macaque monkeys, is used extensively to model Plasmodium biology. Recently, P. knowlesi was found in the human population of Southeast Asia, particularly Malaysia. P. knowlesi causes uncomplicated to severe and fatal malaria in the human host with features in common with the more prevalent and virulent malaria caused by Plasmodium falciparum. As such, P. knowlesi presents a unique opportunity to develop experimental translational model systems for malaria pathophysiology informed by clinical data from same-species human infections. Experimental lines of P. knowlesi represent well-characterized genetically stable parasites, and to maximize their utility as a backdrop for understanding malaria pathophysiology, genetically diverse contemporary clinical isolates, essentially wild-type, require comparable characterization. The Oxford Nanopore PCR-free long-read sequencing platform was used to sequence and de novo assemble P. knowlesi genomes from frozen clinical samples. The sequencing platform and assembly pipelines were designed to facilitate capturing data and describing, for the first time, P. knowlesi schizont-infected cell agglutination (SICA) var and Knowlesi-Interspersed Repeats (kir) multiple gene families in parasites acquired from nature. The SICAvar gene family members code for antigenically variant proteins analogous to the virulence-associated P. falciparum erythrocyte membrane protein (PfEMP1) multiple var gene family. Evidence presented here suggests that the SICAvar family members have arisen through a process of gene duplication, selection pressure, and variation. Highly evolving genes including PfEMP1family members tend to be restricted to relatively unstable sub-telomeric regions that drive change with core genes protected in genetically stable intrachromosomal locations. The comparable SICAvar and kir gene family members are counter-intuitively located across chromosomes. Here, we demonstrate that, in contrast to conserved core genes, SICAvar and kir genes occupy otherwise gene-sparse chromosomal locations that accommodate rapid evolution and change. The novel methods presented here offer the malaria research community not only new tools to generate comprehensive genome sequence data from small clinical samples but also new insight into the complexity of clinically important real-world parasites.
dc.format.extent16
dc.language.isoeng
dc.relation.ispartofFrontiers in Geneticsen
dc.rightsCopyright © 2022 Oresegun, Thorpe, Benavente, Campino, Muh, Moon, Clark and Cox-Singh. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.en
dc.subjectPlasmodium knowlesien
dc.subjectGenomesen
dc.subjectClinical samplesen
dc.subjectSICAvaren
dc.subjectkiren
dc.subjectNanoporeen
dc.subjectDe novoen
dc.subjectMalariaen
dc.subjectQH426 Geneticsen
dc.subjectDASen
dc.subjectSDG 3 - Good Health and Well-beingen
dc.subject.lccQH426en
dc.titleDe novo assembly of Plasmodium knowlesi genomes from clinical samples explain the counterintuitive intrachromosomal organization of variant SICAvar and kir multiple gene family membersen
dc.typeJournal articleen
dc.contributor.sponsorThe Wellcome Trusten
dc.contributor.sponsorThe Wellcome Trusten
dc.description.versionPublisher PDFen
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. Institute of Behavioural and Neural Sciencesen
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/fgene.2022.855052
dc.description.statusPeer revieweden
dc.identifier.grantnumberen
dc.identifier.grantnumber105621/Z/14/Zen


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