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Population Genetic Analysis of the DARC Locus (Duffy) Reveals Adaptation from Standing Variation Associated with Malaria Resistance in Humans

View ORCID ProfileKimberly F. McManus, Angela Taravella, Brenna Henn, Carlos D. Bustamante, Martin Sikora, Omar E. Cornejo
doi: https://doi.org/10.1101/050096
Kimberly F. McManus
1Department of Biology, Stanford University, Stanford, CA, USA
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Angela Taravella
2Department of Ecology and Evolution, Stony Brook University, Stony Brook, NY, USA
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Brenna Henn
2Department of Ecology and Evolution, Stony Brook University, Stony Brook, NY, USA
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Carlos D. Bustamante
1Department of Biology, Stanford University, Stanford, CA, USA
3Department of Genetics, Stanford University, Stanford, CA, USA
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Martin Sikora
3Department of Genetics, Stanford University, Stanford, CA, USA
4Centre for Geogenetics, Natural History Museum Denmark, Copenhagen, DK
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  • For correspondence: martin.sikora@snm.ku.dk omar.cornejo@wsu.edu
Omar E. Cornejo
3Department of Genetics, Stanford University, Stanford, CA, USA
5Department of Biological Sciences, Washington State University, Pullman, WA, USA
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  • For correspondence: martin.sikora@snm.ku.dk omar.cornejo@wsu.edu
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Abstract

The human DARC (Duffy antigen receptor for chemokines) gene encodes a membrane-bound chemokine receptor crucial for the infection of red blood cells by Plasmodium vivax, a major causative agent of malaria. Of the three major allelic classes segregating in human populations, the FY*O allele has been shown to protect against P. vivax infection and is near fixation in sub-Saharan Africa, while FY*B and FY*A are common in Europe and Asia, respectively. Due to the combination of its strong geographic differentiation and association with malaria resistance, DARC is considered a canonical example of a locus under positive selection in humans.

Here, we use sequencing data from over 1,000 individuals in twenty-one human populations, as well as ancient human and great ape genomes, to analyze the fine scale population structure of DARC. We estimate the time to most recent common ancestor (TMRCA) of the FY*O mutation to be 42 kya (95% CI: 34–49 kya). We infer the FY*O null mutation swept to fixation in Africa from standing variation with very low initial frequency (0.1%) and a selection coefficient of 0.043 (95% CI:0.011–0.18), which is among the strongest estimated in the genome. We estimate the TMRCA of the FY*A mutation to be 57 kya (95% CI: 48–65 kya) and infer that, prior to the sweep of FY*O, all three alleles were segregating in Africa, as highly diverged populations from Asia and ≠Khomani San hunter-gatherers share the same FY*A haplotypes. We test multiple models of admixture that may account for this observation and reject recent Asian or European admixture as the cause.

Author Summary Infectious diseases have undoubtedly played an important role in ancient and modern human history. Yet, there are relatively few regions of the genome involved in resistance to pathogens that have shown a strong selection signal. We revisit the evolutionary history of a gene associated with resistance to the most common malaria-causing parasite, Plasmodium vivax, and show that it is one of regions of the human genome that has been under strongest selective pressure in our evolutionary history (selection coefficient: 5%). Our results are consistent with a complex evolutionary history of the locus involving selection on a mutation that was at a very low frequency in the ancestral African population (standing variation) and a large differentiation between European, Asian and African populations.

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Posted April 25, 2016.
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Population Genetic Analysis of the DARC Locus (Duffy) Reveals Adaptation from Standing Variation Associated with Malaria Resistance in Humans
Kimberly F. McManus, Angela Taravella, Brenna Henn, Carlos D. Bustamante, Martin Sikora, Omar E. Cornejo
bioRxiv 050096; doi: https://doi.org/10.1101/050096
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Population Genetic Analysis of the DARC Locus (Duffy) Reveals Adaptation from Standing Variation Associated with Malaria Resistance in Humans
Kimberly F. McManus, Angela Taravella, Brenna Henn, Carlos D. Bustamante, Martin Sikora, Omar E. Cornejo
bioRxiv 050096; doi: https://doi.org/10.1101/050096

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