Disentangling Signatures of Selection Before and After European Colonization in Latin Americans
Author(s) -
Javier MendozaRevilla,
Juan Camilo Chacón-Duque,
Macarena FuentesGuajardo,
Louise Ormond,
Ke Wang,
Malena Hurtado,
Valeria Villegas,
Vanessa Granja,
Víctor Acuña-Alonzo,
Claudia Jaramillo,
William Arias,
Rodrigo Barquera,
Jorge GómezValdés,
Hugo VillamilRamírez,
Caio César Silva de Cerqueira,
Keyla M. Badillo Rivera,
Maria A. NievesColón,
Christopher R. Gignoux,
Genevieve L. Wojcik,
Andrés MorenoEstrada,
Tábita Hünemeier,
Virgínia Ramallo,
Lavínia SchülerFaccini,
Rolando GonzálezJosé,
María Cátira Bortolini,
Samuel CanizalesQuinteros,
Carla Gallo,
Giovanni Poletti,
Gabriel Bedoya,
Francisco Rothhammer,
David J. Balding,
Matteo Fumagalli,
Kaustubh Adhikari,
Andrés RuizLinares,
Garrett Hellenthal
Publication year - 2022
Publication title -
molecular biology and evolution
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 6.637
H-Index - 218
eISSN - 1537-1719
pISSN - 0737-4038
DOI - 10.1093/molbev/msac076
Subject(s) - biology , colonization , latin americans , selection (genetic algorithm) , evolutionary biology , genealogy , ecology , political science , machine learning , history , computer science , law
Throughout human evolutionary history, large-scale migrations have led to intermixing (i.e., admixture) between previously separated human groups. Although classical and recent work have shown that studying admixture can yield novel historical insights, the extent to which this process contributed to adaptation remains underexplored. Here, we introduce a novel statistical model, specific to admixed populations, that identifies loci under selection while determining whether the selection likely occurred post-admixture or prior to admixture in one of the ancestral source populations. Through extensive simulations, we show that this method is able to detect selection, even in recently formed admixed populations, and to accurately differentiate between selection occurring in the ancestral or admixed population. We apply this method to genome-wide SNP data of ∼4,000 individuals in five admixed Latin American cohorts from Brazil, Chile, Colombia, Mexico, and Peru. Our approach replicates previous reports of selection in the human leukocyte antigen region that are consistent with selection post-admixture. We also report novel signals of selection in genomic regions spanning 47 genes, reinforcing many of these signals with an alternative, commonly used local-ancestry-inference approach. These signals include several genes involved in immunity, which may reflect responses to endemic pathogens of the Americas and to the challenge of infectious disease brought by European contact. In addition, some of the strongest signals inferred to be under selection in the Native American ancestral groups of modern Latin Americans overlap with genes implicated in energy metabolism phenotypes, plausibly reflecting adaptations to novel dietary sources available in the Americas.
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