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Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
biochemistry, genetics and molecular biology
Inferring human population sizes, divergence times and rates of gene flow from mitochondrial, X and Y chromosome resequencing data
Genetics, Volume 177, No. 4, Year 2007
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Description
We estimate parameters of a general isolation-with-migration model using resequence data from mitochondrial DNA (mtDNA), the Y chromosome, and two loci on the X chromosome in samples of 25-50 individuals from each of 10 human populations. Application of a coalescent-based Markov chain Monte Carlo technique allows simultaneous inference of divergence times, rates of gene flow, as well as changes in effective population size. Results from comparisons between sub-Saharan African and Eurasian populations estimate that 1500 individuals founded the ancestral Eurasian population ∼40 thousand years ago (KYA). Furthermore, these small Eurasian founding populations appear to have grown much more dramatically than either African or Oceanian populations. Analyses of sub-Saharan African populations provide little evidence for a history of population bottlenecks and suggest that they began diverging from one another upward of 50 KYA. We surmise that ancestral African populations had already been geographically structured prior to the founding of ancestral Eurasian populations. African populations are shown to experience low levels of mitochondrial DNA gene flow, but high levels of Y chromosome gene flow. In particular, Y chromosome gene flow appears to be asymmetric, i.e., from the Bantu-speaking population into other African populations. Conversely, mitochondrial gene flow is more extensive between non-African populations, but appears to be absent between European and Asian populations. Copyright © 2007 by the Genetics Society of America.
Authors & Co-Authors
Garrigan, Daniel
United States, Cambridge
Harvard University
United States, Tucson
The University of Arizona
Kingan, Sarah B.
United States, Cambridge
Harvard University
United States, Tucson
The University of Arizona
Pilkington, Maya Metni
United States, Tucson
The University of Arizona
Wilder, Jason A.
United States, Williamstown
Williams College
Cox, Murray P.
United States, Tucson
The University of Arizona
United States, Santa fe
Santa fe Institute
Soodyall, Himla
South Africa, Johannesburg
University of the Witwatersrand
Strassmann, Beverly Ilse
United States, Ann Arbor
University of Michigan, Ann Arbor
Destro Bisol, Giovanni Giovanni
Italy, Rome
Sapienza Università Di Roma
de Knijff, Peter
Netherlands, Leiden
Universiteit Leiden
Novelletto, Andrea
Italy, Rome
Università Degli Studi Di Roma Tor Vergata
Friedlaender, Jonathan S.
United States, Philadelphia
Temple University
Hammer, Michael F.
United States, Tucson
The University of Arizona
Statistics
Citations: 82
Authors: 12
Affiliations: 10
Identifiers
Doi:
10.1534/genetics.107.077495
ISSN:
00166731
e-ISSN:
00166731
Research Areas
Genetics And Genomics
Study Design
Cross Sectional Study