Long- and short-term selective forces on malaria parasite genomes
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ArticleAuthors
Nygaard, SanneBraunstein, Alexander
Malsen, Gareth
Van Dongen, Stijn
Gardner, Paul P.
Krogh, Anders
Otto, Thomas D.
Pain, Arnab
Berriman, Matthew
McAuliffe, Jon
Dermitzakis, Emmanouil T.
Jeffares, Daniel C.
KAUST Department
Biological and Environmental Sciences and Engineering (BESE) DivisionBioscience Program
Computational Bioscience Research Center (CBRC)
Pathogen Genomics Laboratory
Date
2010-09-09Permanent link to this record
http://hdl.handle.net/10754/325277Metadata
Show full item recordAbstract
Plasmodium parasites, the causal agents of malaria, result in more than 1 million deaths annually. Plasmodium are unicellular eukaryotes with small ~23 Mb genomes encoding ~5200 protein-coding genes. The protein-coding genes comprise about half of these genomes. Although evolutionary processes have a significant impact on malaria control, the selective pressures within Plasmodium genomes are poorly understood, particularly in the non-protein-coding portion of the genome. We use evolutionary methods to describe selective processes in both the coding and non-coding regions of these genomes. Based on genome alignments of seven Plasmodium species, we show that protein-coding, intergenic and intronic regions are all subject to purifying selection and we identify 670 conserved non-genic elements. We then use genome-wide polymorphism data from P. falciparum to describe short-term selective processes in this species and identify some candidate genes for balancing (diversifying) selection. Our analyses suggest that there are many functional elements in the non-genic regions of these genomes and that adaptive evolution has occurred more frequently in the protein-coding regions of the genome. © 2010 Nygaard et al.Citation
Nygaard S, Braunstein A, Malsen G, Van Dongen S, Gardner PP, et al. (2010) Long- and Short-Term Selective Forces on Malaria Parasite Genomes. PLoS Genet 6: e1001099. doi:10.1371/journal.pgen.1001099.Publisher
Public Library of Science (PLoS)Journal
PLoS GeneticsPubMed ID
20838588PubMed Central ID
PMC2936524Scopus Count
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