10.5061/DRYAD.G69G5
Tessema, Sofonias K.
University of Melbourne
Walter and Eliza Hall Institute of Medical Research
Monk, Stephanie L.
University of Melbourne
Walter and Eliza Hall Institute of Medical Research
Schultz, Mark B.
University of Melbourne
Walter and Eliza Hall Institute of Medical Research
Tavul, Livingstone
Papua New Guinea Institute of Medical Research
Reeder, John C.
Burnet Institute
Siba, Peter M.
Papua New Guinea Institute of Medical Research
Mueller, Ivo
University of Melbourne
Walter and Eliza Hall Institute of Medical Research
Barry, Alyssa E.
University of Melbourne
Walter and Eliza Hall Institute of Medical Research
Data from: Phylogeography of var gene repertoires reveals fine-scale
geospatial clustering of Plasmodium falciparum populations in a highly
endemic area
Dryad
dataset
2014
Plasmodium falciparum
Immune evasion
var genes
DBLα
2014-12-16T16:02:47Z
2014-12-16T16:02:47Z
en
https://doi.org/10.1111/mec.13033
217614 bytes
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CC0 1.0 Universal (CC0 1.0) Public Domain Dedication
Plasmodium falciparum malaria is a major global health problem that is
being targeted for progressive elimination. Knowledge of local disease
transmission patterns in endemic countries is critical to these
elimination efforts. To investigate fine-scale patterns of malaria
transmission, we have compared repertoires of rapidly evolving var genes
in a highly endemic area. A total of 3680 high quality DBLα sequences were
obtained from 68 P. falciparum isolates from ten villages spread over two
distinct catchment areas on the north coast of Papua New Guinea (PNG).
Modeling of the extent of var gene diversity in the two parasite
populations predicts more than twice as many var gene alleles circulating
within each catchment (Mugil=906; Wosera=1094) than previously recognized
in PNG (Amele=369). In addition, there were limited levels of var gene
sharing between populations, consistent with local parasite population
structure. Phylogeographic analyses demonstrate that while neutrally
evolving microsatellite markers identified population structure only at
the catchment level, var gene repertoires reveal further fine-scale
geospatial clustering of parasite isolates. The clustering of parasite
isolates by village in Mugil, but not in Wosera was consistent with the
physical and cultural isolation of the human populations in the two
catchments. The study highlights the micro-heterogeneity of P. falciparum
transmission in highly endemic areas and demonstrates the potential of var
genes as markers of local patterns of parasite population structure.
Presence_absence data (Amele, Mugil and Wosera)Presence_absence matrix for
var DBLalpha types in Amele, Mugil and Wosera catchment areas of Papua
New. Used for genetic diversity analyses.Presence_absence data
(Supplementary_data_S1).xlsxBinary data for Bayesian analyses
(Mugil)Binary data for Bayesian analyse of var repertoire in Mugil
catchment area, Papua New GuineaBinary data for Bayesian analyses
(Wosera)Binary data for Bayesian analyse of var repertoire in Mugil
catchment area, Papua New GuineaTessema et al., Wosera and Mugil var
repertoire tree fieTessema et al., Wosera and Mugil microsatellite tree
fileTessema et al., Mugil var repertoire tree fileTessema et al., Wosera
var repertoire tree file
Papua New Guinea