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Balentine CM, Bolnick DA. Parallel evolution in human populations: A biocultural perspective. Evol Anthropol 2022; 31:302-316. [PMID: 36059181 DOI: 10.1002/evan.21956] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2021] [Revised: 03/09/2022] [Accepted: 07/30/2022] [Indexed: 12/27/2022]
Abstract
Parallel evolution-where different populations evolve similar traits in response to similar environments-has been a topic of growing interest to biologists and biological anthropologists for decades. Parallel evolution occurs in human populations thanks to myriad biological and cultural mechanisms that permit humans to survive and thrive in diverse environments worldwide. Because humans shape and are shaped by their environments, biocultural approaches that emphasize the interconnections between biology and culture are key to understanding parallel evolution in human populations as well as the nuances of human biological variation and adaptation. In this review, we discuss how biocultural theory has been and can be applied to studies of parallel evolution and adaptation more broadly. We illustrate this through four examples of parallel evolution in humans: malaria resistance, lactase persistence, cold tolerance, and high-altitude adaptation.
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Affiliation(s)
- Christina M Balentine
- Department of Integrative Biology, University of Texas at Austin, Austin, Texas, USA.,Department of Anthropology, University of Connecticut, Storrs, Connecticut, USA
| | - Deborah A Bolnick
- Department of Anthropology, University of Connecticut, Storrs, Connecticut, USA.,Institute for Systems Genomics, University of Connecticut, Storrs, Connecticut, USA
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Caro-Consuegra R, Nieves-Colón MA, Rawls E, Rubin-de-Celis V, Lizárraga B, Vidaurre T, Sandoval K, Fejerman L, Stone AC, Moreno-Estrada A, Bosch E. Uncovering signals of positive selection in Peruvian populations from three ecological regions. Mol Biol Evol 2022; 39:6647595. [PMID: 35860855 PMCID: PMC9356722 DOI: 10.1093/molbev/msac158] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Perú hosts extremely diverse ecosystems which can be broadly classified into three major ecoregions: the Pacific desert coast, the Andean highlands, and the Amazon rainforest. Since its initial peopling approximately 12,000 years ago, the populations inhabiting such ecoregions might have differentially adapted to their contrasting environmental pressures. Previous studies have described several candidate genes underlying adaptation to hypobaric hypoxia among Andean highlanders. However, the adaptive genetic diversity of coastal and rainforest populations has been less studied. Here, we gathered genome-wide SNP-array data from 286 Peruvians living across the three ecoregions and analysed signals of recent positive selection through population differentiation and haplotype-based selection scans. Among highland populations, we identify candidate genes related to cardiovascular function (TLL1, DUSP27, TBX5, PLXNA4, SGCD), to the Hypoxia-Inducible Factor pathway (TGFA, APIP), to skin pigmentation (MITF), as well as to glucose (GLIS3) and glycogen metabolism (PPP1R3C, GANC). In contrast, most signatures of adaptation in coastal and rainforest populations comprise candidate genes related to the immune system (including SIGLEC8, TRIM21, CD44 and ICAM1 in the coast; CBLB and PRDM1 in rainforest and the BRD2- HLA-DOA- HLA-DPA1 region in both), possibly as a result of strong pathogen-driven selection. This study identifies candidate genes related to human adaptation to the diverse environments of South America.
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Affiliation(s)
- Rocio Caro-Consuegra
- Institute of Evolutionary Biology (UPF-CSIC), Department of Medicine and Life Sciences, Universitat Pompeu Fabra, Barcelona, Catalonia, Spain
| | - Maria A Nieves-Colón
- Laboratorio Nacional de Genómica para la Biodiversidad, Unidad de Genómica Avanzada (UGA-LANGEBIO), CINVESTAV, Irapuato, Guanajuato, Mexico.,School of Human Evolution and Social Change, Arizona State University, Tempe, AZ, USA.,Department of Anthropology, University of Minnesota Twin Cities, Minneapolis, MN, USA
| | - Erin Rawls
- School of Human Evolution and Social Change, Arizona State University, Tempe, AZ, USA
| | - Verónica Rubin-de-Celis
- Laboratorio de Genómica Molecular Evolutiva, Instituto de Ciencia y Tecnología, Universidad Ricardo Palma, Lima, Perú
| | - Beatriz Lizárraga
- Emeritus Professor, Facultad de Ciencias Biológicas, Universidad Nacional Mayor de San Marcos, Lima, Perú
| | | | - Karla Sandoval
- Laboratorio Nacional de Genómica para la Biodiversidad, Unidad de Genómica Avanzada (UGA-LANGEBIO), CINVESTAV, Irapuato, Guanajuato, Mexico
| | - Laura Fejerman
- Department of Public Health Sciences, University of California Davis, Davis, CA, USA
| | - Anne C Stone
- School of Human Evolution and Social Change, Arizona State University, Tempe, AZ, USA.,Center for Evolution and Medicine, Arizona State University, Tempe, AZ, USA
| | - Andrés Moreno-Estrada
- Laboratorio Nacional de Genómica para la Biodiversidad, Unidad de Genómica Avanzada (UGA-LANGEBIO), CINVESTAV, Irapuato, Guanajuato, Mexico
| | - Elena Bosch
- Institute of Evolutionary Biology (UPF-CSIC), Department of Medicine and Life Sciences, Universitat Pompeu Fabra, Barcelona, Catalonia, Spain.,Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Reus, Spain
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