Sep 2026· Annals of Human Genetics· pp.
e70053
· 1 citation· 139 references
Medicine
Abstract
Objectives
From the perspective of uniparental markers, the view of the human prehistoric settlement of America is that it resulted from a single main migration after the Last Glacial Maximum, following a long or short period of genetic isolation in Beringia. Ancient DNA and whole genome analyses have confirmed this view. My objective here is to demonstrate that humans entered America before the LGM and that the documented post-LGM expansions began in South instead of North America.
Methods
In this work, I have reanalyzed all publicly available mitochondrial DNA and Y-chromosome haplogroups in the American population using simple phylogenetic and phylogeographic methodologies.
Results
The arrival of the American settlers occurred more than 30,000 years ago, preceding the LGM. As genomic studies have uncovered, at least two Asian populations contributed to the ancestry of the immigrant population. Low population density and climatic deterioration led to a long period of demographic eclipse, during which small bands of hunter-gatherers made long journeys in search of favorable niches. After the LGM, the climate improved, and demographic expansions occurred in multiple independent centers. The founding and expansion ages of the uniparental haplogroups indicate that these centers were in South America, particularly the Colombian isthmus, the Andean region, the Southern Cone, and the Amazon. Subsequent dispersals occurred in North America, one involving mitochondrial haplogroups A2, C1, and D1, but not B2, and another, of lesser magnitude, represented by the expansion of haplogroups C4c and X2a.
Conclusion
This work offers a previously unexplored model for the colonization of the Americas.
This work highlights the value of matrilineal markers in admixed societies for shedding light on population history and underscores the critical need to rigorously contextualize genetic results, given Argentina´s demographic and historical complexity.
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