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Genomic structure and diversity of Plasmodium falciparum in Southeast Asia reveal recent parasite migration patterns.

Amol C Shetty | Christopher G Jacob | Fang Huang | Yao Li | Sonia Agrawal | David L Saunders | Chanthap Lon | Mark M Fukuda | Pascal Ringwald | Elizabeth A Ashley | Kay Thwe Han | Tin Maung Hlaing | Myaing M Nyunt | Joana C Silva | Kathleen E Stewart | Christopher V Plowe | Timothy D O'Connor | Shannon Takala-Harrison | Artemisinin Resistance Confirmation, Characterization, and Containment (ARC3) | Artemisinin Resistance Containment and Elimination (ARCE) | Tracking Resistance to Artemisinin Collaboration (TRAC)
Nature communications | 2019

Estimates of Plasmodium falciparum migration may inform strategies for malaria elimination. Here we elucidate fine-scale parasite population structure and infer recent migration across Southeast Asia using identity-by-descent (IBD) approaches based on genome-wide single nucleotide polymorphisms called in 1722 samples from 54 districts. IBD estimates are consistent with isolation-by-distance. We observe greater sharing of larger IBD segments between artemisinin-resistant parasites versus sensitive parasites, which is consistent with the recent spread of drug resistance. Our IBD analyses reveal actionable patterns, including isolated parasite populations, which may be prioritized for malaria elimination, as well as asymmetrical migration identifying potential sources and sinks of migrating parasites.

Pubmed ID: 31209259

Research resources used in this publication

None found

Additional research tools detected in this publication

Antibodies used in this publication

None found

Associated grants

  • Agency: NIAID NIH HHS, United States
    Id: R01 AI101713
  • Agency: NIAID NIH HHS, United States
    Id: R01 AI125579
  • Agency: U.S. Department of Health & Human Services | National Institutes of Health (NIH), International
    Id: R03-AI101680
  • Agency: NIAID NIH HHS, United States
    Id: R03 AI101680
  • Agency: NIAID NIH HHS, United States
    Id: U19 AI110820
  • Agency: U.S. Department of Health & Human Services | National Institutes of Health (NIH), International
    Id: NIH U19-AI110829
  • Agency: U.S. Department of Health & Human Services | National Institutes of Health (NIH), International
    Id: U19AI110820
  • Agency: U.S. Department of Health & Human Services | National Institutes of Health (NIH), International
    Id: R01-AI101713
  • Agency: NIAID NIH HHS, United States
    Id: U19 AI129386
  • Agency: World Health Organization, International
    Id: 001

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This is a list of tools and resources that we have found mentioned in this publication.


PLINK (tool)

RRID:SCR_001757

Open source whole genome association analysis toolset, designed to perform range of basic, large scale analyses in computationally efficient manner. Used for analysis of genotype/phenotype data. Through integration with gPLINK and Haploview, there is some support for subsequent visualization, annotation and storage of results. PLINK 1.9 is improved and second generation of the software.

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BEAGLE (tool)

RRID:SCR_001789

Software package for analysis of large-scale genetic data sets with hundreds of thousands of markers genotyped on thousands of samples. BEAGLE can * phase genotype data (i.e. infer haplotypes) for unrelated individuals, parent-offspring pairs, and parent-offspring trios. * infer sporadic missing genotype data. * impute ungenotyped markers that have been genotyped in a reference panel. * perform single marker and haplotypic association analysis. * detect genetic regions that are homozygous-by-descent in an individual or identical-by-descent in pairs of individuals. Beagle can also be used in conjunction with PRESTO, a program for fast and flexible permutation testing. PRESTO can compute empirical distributions of order statistics, analyze stratified data, and determine significance levels for one-stage and two-stage genetic association studies. BEAGLE is written in Java and runs on any computing platform with a Java version 1.6 interpreter (e.g. Windows, Unix, Linux, Solaris, Mac).

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Roche NimbleGen (tool)

RRID:SCR_008571

Roche NimbleGen, Inc. is a leading innovator, manufacturer and supplier of a proprietary suite of DNA microarrays, consumables, instruments and services. Roche NimbleGen uniquely produces high-density arrays of long oligo probes that provide greater information content and higher data quality necessary for studying the full diversity of genomic and epigenomic variation. Roche NimbleGen is enabling a new era of High-Definition Genomics by providing scientists with cost-effective, high-throughput tools for extracting and integrating complex data on important forms of genomic and epigenomic variation not previously accessible on a genome-wide scale. Scientists can thus obtain a clearer understanding of genomic and epigenomic structure and function and how they impact biology and medicine. This improved performance is made possible by Roche NimbleGen''s proprietary Maskless Array Synthesis (MAS) technology, which uses digital light processing and rapid, high-yield photochemistry to synthesize long oligo, high-density DNA microarrays with extreme flexibility. NimbleGen Systems was established in 1999. The MAS technology is the result of research collaborations between the departments of biotechnology, genetics, physics, and semiconductor engineering at the University of Wisconsin - Madison. Roche NimbleGen has the exclusive worldwide license to the MAS technology from the Wisconsin Alumni Research Foundation (WARF).

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