The “BaTwa” populations from remote areas in Zambia retain ancestry of past forager groups

• Sub-equatorial Africa is inhabited today predominantly by Bantu-speaking farmers of west African descent. However, before the arrival of agriculture and pastoralism ~2,000 years ago, the region was inhabited by hunter-gatherers. The incoming farmer populations replaced, displaced or admixed with local hunter-gatherer groups. In some regions such as southern and central Africa, current-day farming populations have absorbed a large local hunter-gatherer genetic component. In other regions, such as Malawi, and Mozambique current-day populations have absorbed little to none of the local component. In this study, we generated genome-wide SNP data from two populations from Zambia thought to represent former hunter-gatherers, known locally as “BaTwa”, but for which no direct evidence exists of a hunter-gatherer past, either in language or lifestyle. We compared the BaTwa data to three Bantu-speaker agropastoralist populations from Zambia, and to other African and non-African populations. We show that the two BaTwa populations harbor a hunter-gatherer-like genetic component, representing respectively ~20% and ~30% of their genetic ancestry, while the rest is similar to Bantu-speaker agropastoralists. Although the component is closest related to current-day Khoe-San populations from southern Africa, results still suggest a unique local hunter-gatherer component. These results accord with Middle and Late Holocene skeletal evidence from Zambia and Malawi for a regionally separate hunter-gatherer population, which is now only detectable among the BaTwa. A two-way admixture scenario between a Bantu-speaker agropastoralist-like source and a hunter-gatherer-like source is supported for the two populations, occurring ~40 and ~16 generations ago respectively. These estimates are consistent with archaeological records for the arrival of agropastoralists in northern and central Zambia respectively. The study demonstrate the value of studying underrepresented minority groups to better understand the complexity of regional population histories.

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