Publication:
High-Resolution Single-Cell Sequencing of Malaria Parasites

dc.contributor.authorSimon G. Trevinoen_US
dc.contributor.authorStandwell C. Nkhomaen_US
dc.contributor.authorShalini Nairen_US
dc.contributor.authorBenjamin J. Danielen_US
dc.contributor.authorKarla Moncadaen_US
dc.contributor.authorStanley Khosween_US
dc.contributor.authorRachel L. Bandaen_US
dc.contributor.authorFrançois Nostenen_US
dc.contributor.authorIan H. Cheesemanen_US
dc.contributor.otherTexas Biomedical Research Instituteen_US
dc.contributor.otherMalawi-Liverpool-Wellcome Clinical Research Programmeen_US
dc.contributor.otherLiverpool School of Tropical Medicineen_US
dc.contributor.otherWellcome Trusten_US
dc.contributor.otherUniversity of Texas Health Science Center at San Antonioen_US
dc.contributor.otherMahidol Universityen_US
dc.contributor.otherUniversity of Oxforden_US
dc.date.accessioned2018-12-21T06:23:27Z
dc.date.accessioned2019-03-14T08:02:20Z
dc.date.available2018-12-21T06:23:27Z
dc.date.available2019-03-14T08:02:20Z
dc.date.issued2017-12-01en_US
dc.description.abstract© The Author(s) 2017. Published by Oxford University Press on behalf of the Society for Molecular Biology and Evolution. Single-cell genomics is a powerful tool for determining the genetic architecture of complex communities of unicellular organisms. In areas of high transmission, malaria patients are often challenged by the activities of multiple Plasmodium falciparum lineages, which can potentiate pathology, spread drug resistance loci, and also complicate most genetic analysis. Single-cell sequencing of P. falciparum would be key to understanding infection complexity, though efforts are hampered by the extreme nucleotide composition of its genome (a 1/480% AT-rich). To counter the low coverage achieved in previous studies, we targeted DNA-rich late-stage parasites by Fluorescence-Activated Cell Sorting and whole genome sequencing. Our method routinely generates accurate, near-complete capture of the 23 Mb P. falciparum genome (mean breadth of coverage 90.7%) at high efficiency. Data from 48 single-cell genomes derived from a polyclonal infection sampled in Chikhwawa, Malawi allowed for unambiguous determination of haplotype diversity and recent meiotic events, information that will aid public health efforts.en_US
dc.identifier.citationGenome Biology and Evolution. Vol.9, No.12 (2017), 3373-3383en_US
dc.identifier.doi10.1093/gbe/evx256en_US
dc.identifier.issn17596653en_US
dc.identifier.other2-s2.0-85042696306en_US
dc.identifier.urihttps://repository.li.mahidol.ac.th/handle/20.500.14594/41380
dc.rightsMahidol Universityen_US
dc.rights.holderSCOPUSen_US
dc.source.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85042696306&origin=inwarden_US
dc.subjectAgricultural and Biological Sciencesen_US
dc.subjectBiochemistry, Genetics and Molecular Biologyen_US
dc.titleHigh-Resolution Single-Cell Sequencing of Malaria Parasitesen_US
dc.typeArticleen_US
dspace.entity.typePublication
mu.datasource.scopushttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85042696306&origin=inwarden_US

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