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Matonda, I.

Publications and source records attributed to Matonda, I..

2 recordsLinked to original sources

Rethinking human AMY1 copy number evolution in light of demographic history

Dietary change is often invoked as a major selective force in recent human evolution, with increased copy number of the salivary amylase gene (AMY1) widely cited as an adaptation to starch-rich agricultural diets. However, most evidence for this model comes from limited geographical sampling and analyses that do not fully account for shared ancestry. Here we combine newly generated droplet digital PCR estimates from 390 individuals representing 30 Sub-Saharan African populations with published copy number data from up to 1,307 individuals worldwide and re-evaluate AMY1 evolution using ancestry-aware and phylogenetically informed models. Across Africa, AMY1 copy number shows no consistent association with agriculture once population structure is accounted for. At a global scale, differences between agriculturalists and non-agriculturalists are substantially smaller than previously reported and are largely explained by shared ancestry rather than diet. Phylogenetic analyses further reveal baseline differences in AMY1 copy number between Sub-Saharan and non-Sub-Saharan populations, pointing to deep demographic processes shaping present-day variation. These results challenge the long-standing "agriculture hypothesis" and identify demographic history, rather than subsistence strategy, as the primary driver of AMY1 CN evolution worldwide.

evolutionary biology↗

The genetic legacy of the expansion of Bantu-speaking peoples in Africa

With the largest genomic dataset to date of Bantu-speaking populations, including newly generated data of modern-day and ancient DNA from previously unsampled regions in Africa, we shed fresh light on the expansion of peoples speaking Bantu languages that started [~]4000 years ago in western Africa. We have genotyped 1,740 participants, including 1,487 Bantu speakers from 143 populations across 14 African countries, and generated whole-genome sequences from 12 Late Iron Age individuals. Our results show that Bantu speakers received significant gene-flow from local groups in regions they expanded into. We show for the first time that genetic diversity amongst Bantu-speaking populations declines with distance from western Africa, with current-day Zambia and the DRC as possible crossroads of interaction. Using spatially explicit methods and correlating genetic, linguistic and geographical data, we provide cross-disciplinary support for a serial founder migration model. Finally, we discuss the utility of our dataset as an exhaustive modern-day African comparative dataset for ancient DNA studies. These new findings and data will be important to a wide range of disciplines from science and humanities as well as to the medical sector studying human genetic variation and health in African and African-descendant populations. One-sentence summaryA comprehensive genetic analysis of the expansion of people speaking Bantu languages reveals a complex history of serial founder events, variable levels of contact with local groups, and spread-over-spread events.

evolutionary biology↗