Disentangling Signatures of Selection Before and After European Colonization in Latin Americans

Author:

Mendoza-Revilla Javier123ORCID,Chacón-Duque J. Camilo45,Fuentes-Guajardo Macarena6,Ormond Louise1,Wang Ke17,Hurtado Malena3,Villegas Valeria3,Granja Vanessa3,Acuña-Alonzo Victor8,Jaramillo Claudia9,Arias William9,Barquera Rodrigo78,Gómez-Valdés Jorge8,Villamil-Ramírez Hugo1011,Silva de Cerqueira Caio C.12,Badillo Rivera Keyla M.13,Nieves-Colón Maria A.14,Gignoux Christopher R.15,Wojcik Genevieve L.16,Moreno-Estrada Andrés17,Hünemeier Tábita1218ORCID,Ramallo Virginia1219,Schuler-Faccini Lavinia12,Gonzalez-José Rolando19,Bortolini Maria-Cátira12,Canizales-Quinteros Samuel1011,Gallo Carla3,Poletti Giovanni3,Bedoya Gabriel9,Rothhammer Francisco20,Balding David121,Fumagalli Matteo22ORCID,Adhikari Kaustubh23,Ruiz-Linares Andrés12425,Hellenthal Garrett1ORCID

Affiliation:

1. Department of Genetics, Evolution and Environment, and UCL Genetics Institute, University College London, London, United Kingdom

2. Human Evolutionary Genetics Unit, Institut Pasteur, UMR2000, CNRS, Paris, France

3. Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima, Perú

4. Centre for Palaeogenetics, Stockholm, Sweden

5. Department of Archaeology and Classical Studies, Stockholm University, Stockholm, Sweden

6. Departamento de Tecnología Médica, Facultad de Ciencias de la Salud, Universidad de Tarapacá, Arica, Chile

7. Department of Archaeogenetics, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany

8. National School of Anthropology and History, Mexico City, Mexico

9. GENMOL (Genética Molecular), Universidad de Antioquia, Medellín, Colombia

10. Unidad de Genómica de Poblaciones Aplicada a la Salud, Facultad de Química, UNAM-Instituto Nacional de Medicina Genómica, Mexico City, Mexico

11. Universidad Nacional Autónoma de México e Instituto Nacional de Medicina Genómica, Mexico City, Mexico

12. Departamento de Genética, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil

13. Department of Genetics, Stanford School of Medicine, Stanford, CA, USA

14. Department of Anthropology, University of Minnesota Twin Cities, Minneapolis, MN, USA

15. Department of Biostatistics and Informatics, University of Colorado Anschutz Medical Campus, Aurora, CO, USA

16. Bloomberg School of Public Health, John Hopkins University, Baltimore, MD, USA

17. Laboratorio Nacional de Genómica para la Biodiversidad (UGA-LANGEBIO), CINVESTAV, Irapuato, Guanajuato, Mexico

18. Department of Genetics and Evolutionary Biology, University of São Paulo, São Paulo, Brazil

19. Instituto Patagónico de Ciencias Sociales y Humanas-Centro Nacional Patagónico, CONICET, Puerto Madryn, Argentina

20. Instituto de Alta Investigación, Universidad de Tarapacá, Arica, Chile

21. Schools of BioSciences and Mathematics & Statistics, University of Melbourne, Melbourne, Australia

22. School of Biological and Behavioural Sciences, Queen Mary University of London, London, United Kingdom

23. School of Mathematics and Statistics, Faculty of Science, Technology, Engineering and Mathematics, The Open University, Milton Keynes, United Kingdom

24. Ministry of Education Key Laboratory of Contemporary Anthropology and Collaborative Innovation Center of Genetics and Development, Fudan University, Shanghai, China

25. Aix-Marseille Université, CNRS, EFS, ADES, Marseille, France

Abstract

AbstractThroughout 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.

Publisher

Oxford University Press (OUP)

Subject

Genetics,Molecular Biology,Ecology, Evolution, Behavior and Systematics

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