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African evolutionary history inferred from whole genome sequence data of 44 indigenous African populations

Fan, Shaohua, Kelly, Derek E., Beltrame, Marcia H., Hansen, Matthew E. B., Mallick, Swapan, Ranciaro, Alessia, Hirbo, Jibril, Thompson, Simon, Beggs, William, Nyambo, Thomas, Omar, Sabah A., Meskel, Dawit Wolde, Belay, Gurja, Froment, Alain, Patterson, Nick, Reich, David, Tishkoff, Sarah A.
Genome biology 2019 v.20 no.1 pp. 82
Africans, ancestry, effective population size, energy metabolism, ethnic differences, genes, genetic variation, geography, humans, immune response, muscle development, phylogeny, rain forests, reproduction, Africa
BACKGROUND: Africa is the origin of modern humans within the past 300 thousand years. To infer the complex demographic history of African populations and adaptation to diverse environments, we sequenced the genomes of 92 individuals from 44 indigenous African populations. RESULTS: Genetic structure analyses indicate that among Africans, genetic ancestry is largely partitioned by geography and language, though we observe mixed ancestry in many individuals, consistent with both short- and long-range migration events followed by admixture. Phylogenetic analysis indicates that the San genetic lineage is basal to all modern human lineages. The San and Niger-Congo, Afroasiatic, and Nilo-Saharan lineages were substantially diverged by 160 kya (thousand years ago). In contrast, the San and Central African rainforest hunter-gatherer (CRHG), Hadza hunter-gatherer, and Sandawe hunter-gatherer lineages were diverged by ~ 120–100 kya. Niger-Congo, Nilo-Saharan, and Afroasiatic lineages diverged more recently by ~ 54–16 kya. Eastern and western CRHG lineages diverged by ~ 50–31 kya, and the western CRHG lineages diverged by ~ 18–12 kya. The San and CRHG populations maintained the largest effective population size compared to other populations prior to 60 kya. Further, we observed signatures of positive selection at genes involved in muscle development, bone synthesis, reproduction, immune function, energy metabolism, and cell signaling, which may contribute to local adaptation of African populations. CONCLUSIONS: We observe high levels of genomic variation between ethnically diverse Africans which is largely correlated with geography and language. Our study indicates ancient population substructure and local adaptation of Africans.