Inferring the Demographic History of African Farmers and Pygmy Hunter�CGatherers Using a Multilocus Resequencing Data Set
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https://figshare.com/articles/dataset/Inferring_the_Demographic_History_of_African_Farmers_and_Pygmy_Hunter_Gatherers_Using_a_Multilocus_Resequencing_Data_Set/148061
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The transition from hunting and gathering to farming involved a major cultural innovation that has spread rapidly over most of the globe in the last ten millennia. In sub-Saharan Africa, hunter�Cgatherers have begun to shift toward an agriculture-based lifestyle over the last 5,000 years. Only a few populations still base their mode of subsistence on hunting and gathering. The Pygmies are considered to be the largest group of mobile hunter�Cgatherers of Africa. They dwell in equatorial rainforests and are characterized by their short mean stature. However, little is known about the chronology of the demographic events��size changes, population splits, and gene flow��ultimately giving rise to contemporary Pygmy (Western and Eastern) groups and neighboring agricultural populations. We studied the branching history of Pygmy hunter�Cgatherers and agricultural populations from Africa and estimated separation times and gene flow between these populations. We resequenced 24 independent noncoding regions across the genome, corresponding to a total of ��33 kb per individual, in 236 samples from seven Pygmy and five agricultural populations dispersed over the African continent. We used simulation-based inference to identify the historical model best fitting our data. The model identified included the early divergence of the ancestors of Pygmy hunter�Cgatherers and farming populations ��60,000 years ago, followed by a split of the Pygmies' ancestors into the Western and Eastern Pygmy groups ��20,000 years ago. Our findings increase knowledge of the history of the peopling of the African continent in a region lacking archaeological data. An appreciation of the demographic and adaptive history of African populations with different modes of subsistence should improve our understanding of the influence of human lifestyles on genome diversity.
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2017-04-10



