Genome sequence of the human malaria parasite Plasmodium falciparum View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2002-10

AUTHORS

Malcolm J. Gardner, Neil Hall, Eula Fung, Owen White, Matthew Berriman, Richard W. Hyman, Jane M. Carlton, Arnab Pain, Karen E. Nelson, Sharen Bowman, Ian T. Paulsen, Keith James, Jonathan A. Eisen, Kim Rutherford, Steven L. Salzberg, Alister Craig, Sue Kyes, Man-Suen Chan, Vishvanath Nene, Shamira J. Shallom, Bernard Suh, Jeremy Peterson, Sam Angiuoli, Mihaela Pertea, Jonathan Allen, Jeremy Selengut, Daniel Haft, Michael W. Mather, Akhil B. Vaidya, David M. A. Martin, Alan H. Fairlamb, Martin J. Fraunholz, David S. Roos, Stuart A. Ralph, Geoffrey I. McFadden, Leda M. Cummings, G. Mani Subramanian, Chris Mungall, J. Craig Venter, Daniel J. Carucci, Stephen L. Hoffman, Chris Newbold, Ronald W. Davis, Claire M. Fraser, Bart Barrell

ABSTRACT

The parasite Plasmodium falciparum is responsible for hundreds of millions of cases of malaria, and kills more than one million African children annually. Here we report an analysis of the genome sequence of P. falciparum clone 3D7. The 23-megabase nuclear genome consists of 14 chromosomes, encodes about 5,300 genes, and is the most (A + T)-rich genome sequenced to date. Genes involved in antigenic variation are concentrated in the subtelomeric regions of the chromosomes. Compared to the genomes of free-living eukaryotic microbes, the genome of this intracellular parasite encodes fewer enzymes and transporters, but a large proportion of genes are devoted to immune evasion and host-parasite interactions. Many nuclear-encoded proteins are targeted to the apicoplast, an organelle involved in fatty-acid and isoprenoid metabolism. The genome sequence provides the foundation for future studies of this organism, and is being exploited in the search for new drugs and vaccines to fight malaria. More... »

PAGES

498

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  • Journal

    TITLE

    Nature

    ISSUE

    6906

    VOLUME

    419

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  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1038/nature01097

    DOI

    http://dx.doi.org/10.1038/nature01097

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1030736656

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/12368864


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