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Padilla-Iglesias C, Blanco-Portillo J, Pricop B, Ioannidis AG, Bickel B, Manica A, Vinicius L, Migliano AB. Deep history of cultural and linguistic evolution among Central African hunter-gatherers. Nat Hum Behav 2024:10.1038/s41562-024-01891-y. [PMID: 38802540 DOI: 10.1038/s41562-024-01891-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2023] [Accepted: 04/18/2024] [Indexed: 05/29/2024]
Abstract
Human evolutionary history in Central Africa reflects a deep history of population connectivity. However, Central African hunter-gatherers (CAHGs) currently speak languages acquired from their neighbouring farmers. Hence it remains unclear which aspects of CAHG cultural diversity results from long-term evolution preceding agriculture and which reflect borrowing from farmers. On the basis of musical instruments, foraging tools, specialized vocabulary and genome-wide data from ten CAHG populations, we reveal evidence of large-scale cultural interconnectivity among CAHGs before and after the Bantu expansion. We also show that the distribution of hunter-gatherer musical instruments correlates with the oldest genomic segments in our sample predating farming. Music-related words are widely shared between western and eastern groups and likely precede the borrowing of Bantu languages. In contrast, subsistence tools are less frequently exchanged and may result from adaptation to local ecologies. We conclude that CAHG material culture and specialized lexicon reflect a long evolutionary history in Central Africa.
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Affiliation(s)
- Cecilia Padilla-Iglesias
- Human Evolutionary Ecology Group, Institute of Evolutionary Anthropology, University of Zurich, Zurich, Switzerland.
| | | | - Bogdan Pricop
- Department of Comparative Language Science, University of Zurich, Zurich, Switzerland
| | | | - Balthasar Bickel
- Department of Comparative Language Science, University of Zurich, Zurich, Switzerland
- Center for the Interdisciplinary Study of Language Evolution, University of Zurich, Zurich, Switzerland
| | - Andrea Manica
- Department of Zoology, University of Cambridge, Cambridge, UK
| | - Lucio Vinicius
- Human Evolutionary Ecology Group, Institute of Evolutionary Anthropology, University of Zurich, Zurich, Switzerland
| | - Andrea Bamberg Migliano
- Human Evolutionary Ecology Group, Institute of Evolutionary Anthropology, University of Zurich, Zurich, Switzerland.
- Center for the Interdisciplinary Study of Language Evolution, University of Zurich, Zurich, Switzerland.
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2
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Teiti I, Aubry M, Glaziou P, Mendiboure V, Teissier A, Paoaafaite T, Simon A, Chung K, Dian L, Olivier S, Pineau P, Fontanet A, Condat B, Madec Y, Lastère S, Cao-Lormeau VM. Towards elimination of chronic viral hepatitis in French Polynesia: results from a national population-based survey. THE LANCET REGIONAL HEALTH. WESTERN PACIFIC 2024; 45:101035. [PMID: 38445260 PMCID: PMC10914476 DOI: 10.1016/j.lanwpc.2024.101035] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/15/2023] [Revised: 01/25/2024] [Accepted: 02/18/2024] [Indexed: 03/07/2024]
Abstract
Background In French Polynesia, hepatitis B virus (HBV) infection appears as a major risk factor for hepatocellular carcinoma (HCC), which detection rate in the Austral archipelago is among the highest in the world. Through a nationally representative cross-sectional survey of the adult population, this study aimed at assessing the prevalence of HBV, but also hepatitis C virus (HCV), and hepatitis delta virus (HDV). Methods A total of 1942 blood samples from participants aged 18-69 years were tested for anti-HBc, anti-HBs, HBsAg, anti-HCV IgG, and HDV RNA. Complete genome sequencing of detected HBV strains was performed. Findings Among participants, 315/1834, 582/1834, 33/1834, 0/1857, and 0/33 tested positive for anti-HBc, anti-HBs, HBsAg, anti-HCV IgG, and HDV RNA, respectively. The population prevalence of HBsAg was estimated at 1.0% (95% CI: 0.6-1.7). All HBsAg carriers were born in French Polynesia before vaccination at birth became mandatory. In multivariate analyses, identified factors associated with HBsAg carriage included: the archipelago of residence (p < 0.0001), age (p < 0.0001), and education level (p = 0.0077). HBV genotypes B, C, and F were detected. Interpretation French Polynesia has a low endemicity level of HBV and its population may be considered at low risk for HCV and HDV infection. However, prevalence of HBsAg was found concerning in Austral (3.8%; 95% CI: 1.9-7.5) and Marquesas (6.5%; 95% CI: 3.8-11) archipelagoes. In the Austral archipelago, the presence of genotype C may account for the elevated rate of HCC. Our findings warrant more efforts to improve access to detection, prevention and care to people born before the systematic vaccination policy application, and residing in higher-risk areas, to achieve HBV elimination in French Polynesia. Funding Research Delegation of French Polynesia.
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Affiliation(s)
- Iotefa Teiti
- Laboratory of Research on Emerging Viral Diseases, Institut Louis Malardé, Papeete, Tahiti, French Polynesia
| | - Maite Aubry
- Laboratory of Research on Emerging Viral Diseases, Institut Louis Malardé, Papeete, Tahiti, French Polynesia
| | - Philippe Glaziou
- Non-communicable Diseases Laboratory, Institut Louis Malardé, Papeete, Tahiti, French Polynesia
| | - Vincent Mendiboure
- Institut Pasteur, Université Paris Cité, Epidemiology of Emerging Diseases Unit, Paris 75015, France
| | - Anita Teissier
- Laboratory of Research on Emerging Viral Diseases, Institut Louis Malardé, Papeete, Tahiti, French Polynesia
| | - Tuterarii Paoaafaite
- Laboratory of Research on Emerging Viral Diseases, Institut Louis Malardé, Papeete, Tahiti, French Polynesia
| | - Aurélie Simon
- Laboratory of Research on Emerging Viral Diseases, Institut Louis Malardé, Papeete, Tahiti, French Polynesia
| | - Kiyojiken Chung
- Laboratory of Research on Emerging Viral Diseases, Institut Louis Malardé, Papeete, Tahiti, French Polynesia
| | - Lisa Dian
- Laboratory of Research on Emerging Viral Diseases, Institut Louis Malardé, Papeete, Tahiti, French Polynesia
| | - Sophie Olivier
- Clinical Laboratory, Institut Louis Malardé, Papeete, Tahiti, French Polynesia
| | - Pascal Pineau
- Institut Pasteur, Université Paris Cité, Unité“Organisation Nucléaire et Oncogenèse”, INSERM U993, Paris 75015, France
| | - Arnaud Fontanet
- Institut Pasteur, Université Paris Cité, Epidemiology of Emerging Diseases Unit, Paris 75015, France
- PACRI Unit, Conservatoire National des Arts et Métiers, Paris, France
| | - Bertrand Condat
- Department of Gastroenterology, Centre Hospitalier de la Polynésie Française, Pirae, Tahiti, French Polynesia
| | - Yoann Madec
- Institut Pasteur, Université Paris Cité, Epidemiology of Emerging Diseases Unit, Paris 75015, France
| | - Stéphane Lastère
- Clinical Laboratory, Centre Hospitalier de la Polynésie Française, Pirae, Tahiti, French Polynesia
| | - Van-Mai Cao-Lormeau
- Laboratory of Research on Emerging Viral Diseases, Institut Louis Malardé, Papeete, Tahiti, French Polynesia
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3
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Berenguer P, Clavero C, Saldarriaga-Córdoba M, Rivera-Hutinel A, Seelenfreund D, Martinsson-Wallin H, Castañeda P, Seelenfreund A. Identification of breadfruit (Artocarpus altilis) and South American crops introduced during early settlement of Rapa Nui (Easter Island), as revealed through starch analysis. PLoS One 2024; 19:e0298896. [PMID: 38507346 PMCID: PMC10954183 DOI: 10.1371/journal.pone.0298896] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2023] [Accepted: 01/31/2024] [Indexed: 03/22/2024] Open
Abstract
Starch residue analysis was carried out on stone tools recovered from the bottom layer of the Anakena site on Rapa Nui (Easter Island). These deposits have been dated to AD 1000-1300 AD and so far, represent the earliest evidence of human settlement on this island. Twenty obsidian tools were analyzed. Analysis of 46 starch grains recovered from 20 obsidian tools from the earliest dated level of the Anakena site on Rapa Nui provides direct evidence for translocation of traditional crop plants at initial stages of the colonization of this island. The analysis of starch grains was based mainly on statistical methods for species identification but was complemented by visual inspection in some cases. Our results identify taxons previously unknown to have been cultivated on the island, such as breadfruit (Artocarpus altilis), Zingiber officinale (ginger), and starch grains of the Spondias dulcis and Inocarpus fagifer tropical trees. Additionally, starch grains of Colocasia esculenta (taro) and Dioscorea sp. (yam), both common species in Pacific agriculture, were identified. Furthermore, the presence of four American taxa Ipomoea batatas (sweet potato), Canna sp. (achira), Manihot esculenta (manioc), and Xanthosoma sp., was detected. The occurrence of Canna sp., M. esculenta, and Xanthosoma sp. starch grains suggests the translocation of previously not described South American cultivars into the Pacific. The detection of I. batatas from this site in Rapa Nui constitutes the earliest record of this cultigen in the Pacific. Our study provides direct evidence for translocation of a set of traditional Polynesian and South American crop plants at the initial stages of colonization in Rapa Nui.
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Affiliation(s)
- Paloma Berenguer
- Escuela de Antropología, Geografía e Historia, Facultad de Ciencias Sociales Universidad Academia de Humanismo Cristiano, Santiago, Chile
| | - Claudia Clavero
- Facultad de Ciencias Básicas, Universidad Metropolitana de Ciencias de la Educación, Ñuñoa, Chile
| | - Mónica Saldarriaga-Córdoba
- Centro de Investigación en Recursos Naturales y Sustentabilidad (CYRENIS), Universidad Bernardo O’Higgins, Santiago, Chile
| | - Antonio Rivera-Hutinel
- Facultad de Ciencias Básicas, Universidad Metropolitana de Ciencias de la Educación, Ñuñoa, Chile
| | - Daniela Seelenfreund
- Facultad de Ciencias Químicas y Farmacéuticas, Universidad de Chile, Santiago, Chile
| | | | - Patricia Castañeda
- Facultad de Ciencias Básicas, Universidad Metropolitana de Ciencias de la Educación, Ñuñoa, Chile
| | - Andrea Seelenfreund
- Escuela de Antropología, Geografía e Historia, Facultad de Ciencias Sociales Universidad Academia de Humanismo Cristiano, Santiago, Chile
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4
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Izarraras-Gomez A, Ortega-Del Vecchyo D. Ancient DNA uncovers past migrations in California. Nature 2023; 624:43-44. [PMID: 37993617 DOI: 10.1038/d41586-023-03503-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2023]
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5
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Guevara E, Gopalan S, Massey DJ, Adegboyega M, Zhou W, Solis A, Anaya AD, Churchill SE, Feldblum J, Lawler RR. Getting it right: Teaching undergraduate biology to undermine racial essentialism. Biol Methods Protoc 2023; 8:bpad032. [PMID: 38023347 PMCID: PMC10674104 DOI: 10.1093/biomethods/bpad032] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2023] [Revised: 11/03/2023] [Accepted: 11/10/2023] [Indexed: 12/01/2023] Open
Abstract
How we teach human genetics matters for social equity. The biology curriculum appears to be a crucial locus of intervention for either reinforcing or undermining students' racial essentialist views. The Mendelian genetic models dominating textbooks, particularly in combination with racially inflected language sometimes used when teaching about monogenic disorders, can increase middle and high school students' racial essentialism and opposition to policies to increase equity. These findings are of particular concern given the increasing spread of racist misinformation online and the misappropriation of human genomics research by white supremacists, who take advantage of low levels of genetics literacy in the general public. Encouragingly, however, teaching updated information about the geographical distribution of human genetic variation and the complex, multifactorial basis of most human traits, reduces students' endorsement of racial essentialism. The genetics curriculum is therefore a key tool in combating misinformation and scientific racism. Here, we describe a framework and example teaching materials for teaching students key concepts in genetics, human evolutionary history, and human phenotypic variation at the undergraduate level. This framework can be flexibly applied in biology and anthropology classes and adjusted based on time availability. Our goal is to provide undergraduate-level instructors with varying levels of expertise with a set of evidence-informed tools for teaching human genetics to combat scientific racism, including an evolving set of instructional resources, as well as learning goals and pedagogical approaches. Resources can be found at https://noto.li/YIlhZ5. Additionally, we hope to generate conversation about integrating modern genetics into the undergraduate curriculum, in light of recent findings about the risks and opportunities associated with teaching genetics.
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Affiliation(s)
- Elaine Guevara
- Department of Evolutionary Anthropology, Duke University, Durham, NC 27713, United States
| | - Shyamalika Gopalan
- Department of Evolutionary Anthropology, Duke University, Durham, NC 27713, United States
| | - Dashiell J Massey
- Department of Evolutionary Anthropology, Duke University, Durham, NC 27713, United States
| | - Mayowa Adegboyega
- Department of Evolutionary Anthropology, Duke University, Durham, NC 27713, United States
| | - Wen Zhou
- Department of Evolutionary Anthropology, Duke University, Durham, NC 27713, United States
- Department of Evolutionary Anthropology, Duke Kunshan University, Kunshan, Jiangsu 215316, China
| | - Alma Solis
- Department of Evolutionary Anthropology, Duke University, Durham, NC 27713, United States
| | - Alisha D Anaya
- Department of Evolutionary Anthropology, Duke University, Durham, NC 27713, United States
| | - Steven E Churchill
- Department of Evolutionary Anthropology, Duke University, Durham, NC 27713, United States
| | - Joseph Feldblum
- Department of Evolutionary Anthropology, Duke University, Durham, NC 27713, United States
| | - Richard R Lawler
- Department of Sociology and Anthropology, James Madison University, Harrisonburg, Virginia 22807, United States
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6
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Ortiz-Rodríguez DO, Guisan A, Van Strien MJ. Sensitivity of habitat network models to changes in maximum dispersal distance. PLoS One 2023; 18:e0293966. [PMID: 37930975 PMCID: PMC10627463 DOI: 10.1371/journal.pone.0293966] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2022] [Accepted: 10/23/2023] [Indexed: 11/08/2023] Open
Abstract
Predicting the presence or absence (occurrence-state) of species in a certain area is highly important for conservation. Occurrence-state can be assessed by network models that take suitable habitat patches as nodes, connected by potential dispersal of species. To determine connections, a connectivity threshold is set at the species' maximum dispersal distance. However, this requires field observations prone to underestimation, so for most animal species there are no trustable maximum dispersal distance estimations. This limits the development of accurate network models to predict species occurrence-state. In this study, we performed a sensitivity analysis of the performance of network models to different settings of maximum dispersal distance. Our approach, applied on six amphibian species in Switzerland, used habitat suitability modelling to define habitat patches, which were linked within a dispersal distance threshold to form habitat networks. We used network topological measures, patch suitability, and patch size to explain species occurrence-state in habitat patches through boosted regression trees. These modelling steps were repeated on each species for different maximum dispersal distances, including a species-specific value from literature. We evaluated mainly the predictive performance and predictor importance among the network models. We found that predictive performance had a positive relation with the distance threshold, and that almost none of the species-specific values from literature yielded the best performance across tested thresholds. With increasing dispersal distance, the importance of the habitat-quality-related variable decreased, whereas that of the topology-related predictors increased. We conclude that the sensitivity of these models to the dispersal distance parameter stems from the very different topologies formed with different movement assumptions. Most reported maximum dispersal distances are underestimated, presumably due to leptokurtic dispersal distribution. Our results imply that caution should be taken when selecting a dispersal distance threshold, considering higher values than those derived from field reports, to account for long-distance dispersers.
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Affiliation(s)
- Damian O. Ortiz-Rodríguez
- Planning of Landscape and Urban Systems (PLUS), Institute for Spatial and Landscape Planning, ETH Zürich, Zürich, Switzerland
- WSL Swiss Federal Research Institute, Birmensdorf, Switzerland
- Department of Environmental Systems Science, ETH Zürich, Zürich, Switzerland
- Department of Ecology and Evolution, University of Lausanne, Lausanne, Switzerland
| | - Antoine Guisan
- Department of Ecology and Evolution, University of Lausanne, Lausanne, Switzerland
- Institute of Earth Surface Dynamics, University of Lausanne, Lausanne, Switzerland
| | - Maarten J. Van Strien
- Planning of Landscape and Urban Systems (PLUS), Institute for Spatial and Landscape Planning, ETH Zürich, Zürich, Switzerland
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7
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Sohail M, Palma-Martínez MJ, Chong AY, Quinto-Cortés CD, Barberena-Jonas C, Medina-Muñoz SG, Ragsdale A, Delgado-Sánchez G, Cruz-Hervert LP, Ferreyra-Reyes L, Ferreira-Guerrero E, Mongua-Rodríguez N, Canizales-Quintero S, Jimenez-Kaufmann A, Moreno-Macías H, Aguilar-Salinas CA, Auckland K, Cortés A, Acuña-Alonzo V, Gignoux CR, Wojcik GL, Ioannidis AG, Fernández-Valverde SL, Hill AVS, Tusié-Luna MT, Mentzer AJ, Novembre J, García-García L, Moreno-Estrada A. Mexican Biobank advances population and medical genomics of diverse ancestries. Nature 2023; 622:775-783. [PMID: 37821706 PMCID: PMC10600006 DOI: 10.1038/s41586-023-06560-0] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2022] [Accepted: 08/22/2023] [Indexed: 10/13/2023]
Abstract
Latin America continues to be severely underrepresented in genomics research, and fine-scale genetic histories and complex trait architectures remain hidden owing to insufficient data1. To fill this gap, the Mexican Biobank project genotyped 6,057 individuals from 898 rural and urban localities across all 32 states in Mexico at a resolution of 1.8 million genome-wide markers with linked complex trait and disease information creating a valuable nationwide genotype-phenotype database. Here, using ancestry deconvolution and inference of identity-by-descent segments, we inferred ancestral population sizes across Mesoamerican regions over time, unravelling Indigenous, colonial and postcolonial demographic dynamics2-6. We observed variation in runs of homozygosity among genomic regions with different ancestries reflecting distinct demographic histories and, in turn, different distributions of rare deleterious variants. We conducted genome-wide association studies (GWAS) for 22 complex traits and found that several traits are better predicted using the Mexican Biobank GWAS compared to the UK Biobank GWAS7,8. We identified genetic and environmental factors associating with trait variation, such as the length of the genome in runs of homozygosity as a predictor for body mass index, triglycerides, glucose and height. This study provides insights into the genetic histories of individuals in Mexico and dissects their complex trait architectures, both crucial for making precision and preventive medicine initiatives accessible worldwide.
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Affiliation(s)
- Mashaal Sohail
- Unidad de Genómica Avanzada (UGA-LANGEBIO), Centro de Investigación y Estudios Avanzados del IPN (Cinvestav), Irapuato, Mexico.
- Department of Human Genetics, University of Chicago, Chicago, IL, USA.
- Centro de Ciencias Genómicas (CCG), Universidad Nacional Autónoma de México (UNAM), Cuernavaca, Mexico.
| | - María J Palma-Martínez
- Unidad de Genómica Avanzada (UGA-LANGEBIO), Centro de Investigación y Estudios Avanzados del IPN (Cinvestav), Irapuato, Mexico
| | - Amanda Y Chong
- The Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Consuelo D Quinto-Cortés
- Unidad de Genómica Avanzada (UGA-LANGEBIO), Centro de Investigación y Estudios Avanzados del IPN (Cinvestav), Irapuato, Mexico
| | - Carmina Barberena-Jonas
- Unidad de Genómica Avanzada (UGA-LANGEBIO), Centro de Investigación y Estudios Avanzados del IPN (Cinvestav), Irapuato, Mexico
| | - Santiago G Medina-Muñoz
- Unidad de Genómica Avanzada (UGA-LANGEBIO), Centro de Investigación y Estudios Avanzados del IPN (Cinvestav), Irapuato, Mexico
| | - Aaron Ragsdale
- Unidad de Genómica Avanzada (UGA-LANGEBIO), Centro de Investigación y Estudios Avanzados del IPN (Cinvestav), Irapuato, Mexico
- Department of Integrative Biology, University of Wisconsin-Madison, Madison, WI, USA
| | | | - Luis Pablo Cruz-Hervert
- Instituto Nacional de Salud Pública (INSP), Cuernavaca, Mexico
- División de Estudios de Posgrado e Investigación, Facultad de Odontología, Universidad Nacional Autónoma de México (UNAM), Mexico City, Mexico
| | | | | | | | | | - Andrés Jimenez-Kaufmann
- Unidad de Genómica Avanzada (UGA-LANGEBIO), Centro de Investigación y Estudios Avanzados del IPN (Cinvestav), Irapuato, Mexico
| | - Hortensia Moreno-Macías
- Unidad de Biología Molecular y Medicina Genómica, Instituto de Investigaciones Biomédicas UNAM/Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico
- Universidad Autónoma Metropolitana, Mexico City, Mexico
| | - Carlos A Aguilar-Salinas
- Division de Nutrición, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico
| | - Kathryn Auckland
- The Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Adrián Cortés
- Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, UK
| | | | - Christopher R Gignoux
- Colorado Center for Personalized Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Genevieve L Wojcik
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | | | - Selene L Fernández-Valverde
- Unidad de Genómica Avanzada (UGA-LANGEBIO), Centro de Investigación y Estudios Avanzados del IPN (Cinvestav), Irapuato, Mexico
- School of Biotechnology and Biomolecular Sciences and the RNA Institute, The University of New South Wales, Sydney, New South Wales, Australia
| | - Adrian V S Hill
- The Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK
- The Jenner Institute, University of Oxford, Oxford, UK
| | - María Teresa Tusié-Luna
- Unidad de Biología Molecular y Medicina Genómica, Instituto de Investigaciones Biomédicas UNAM/Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico
| | - Alexander J Mentzer
- The Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK.
- Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, UK.
| | - John Novembre
- Department of Human Genetics, University of Chicago, Chicago, IL, USA
- Department of Ecology and Evolution, University of Chicago, Chicago, IL, USA
| | | | - Andrés Moreno-Estrada
- Unidad de Genómica Avanzada (UGA-LANGEBIO), Centro de Investigación y Estudios Avanzados del IPN (Cinvestav), Irapuato, Mexico.
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Arango-Isaza E, Capodiferro MR, Aninao MJ, Babiker H, Aeschbacher S, Achilli A, Posth C, Campbell R, Martínez FI, Heggarty P, Sadowsky S, Shimizu KK, Barbieri C. The genetic history of the Southern Andes from present-day Mapuche ancestry. Curr Biol 2023:S0960-9822(23)00607-3. [PMID: 37279753 DOI: 10.1016/j.cub.2023.05.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2022] [Revised: 03/01/2023] [Accepted: 05/05/2023] [Indexed: 06/08/2023]
Abstract
The southernmost regions of South America harbor some of the earliest evidence of human presence in the Americas. However, connections with the rest of the continent and the contextualization of present-day indigenous ancestries remain poorly resolved. In this study, we analyze the genetic ancestry of one of the largest indigenous groups in South America: the Mapuche. We generate genome-wide data from 64 participants from three Mapuche populations in Southern Chile: Pehuenche, Lafkenche, and Huilliche. Broadly, we describe three main ancestry blocks with a common origin, which characterize the Southern Cone, the Central Andes, and Amazonia. Within the Southern Cone, ancestors of the Mapuche lineages differentiated from those of the Far South during the Middle Holocene and did not experience further migration waves from the north. We find that the deep genetic split between the Central and Southern Andes is followed by instances of gene flow, which may have accompanied the southward spread of cultural traits from the Central Andes, including crops and loanwords from Quechua into Mapudungun (the language of the Mapuche). Finally, we report close genetic relatedness between the three populations analyzed, with the Huilliche characterized additionally by intense recent exchanges with the Far South. Our findings add new perspectives on the genetic (pre)history of South America, from the first settlement through to the present-day indigenous presence. Follow-up fieldwork took these results back to the indigenous communities to contextualize the genetic narrative alongside indigenous knowledge and perspectives.
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Affiliation(s)
- Epifanía Arango-Isaza
- Department of Evolutionary Biology and Environmental Studies, University of Zurich, Zurich 8057, Switzerland; Center for the Interdisciplinary Study of Language Evolution, University of Zurich, Zurich 8050, Switzerland.
| | - Marco Rosario Capodiferro
- Trinity College Dublin, Dublin 2, Ireland; Department of Biology and Biotechnology "L. Spallanzani", University of Pavia, Pavia 27100, Italy
| | | | - Hiba Babiker
- Department of Linguistic and Cultural Evolution, Max Planck Institute for Evolutionary Anthropology, Leipzig 04103, Germany
| | - Simon Aeschbacher
- Department of Evolutionary Biology and Environmental Studies, University of Zurich, Zurich 8057, Switzerland
| | - Alessandro Achilli
- Department of Biology and Biotechnology "L. Spallanzani", University of Pavia, Pavia 27100, Italy
| | - Cosimo Posth
- Institute for Archaeological Sciences, Archaeo, and Palaeogenetics, University of Tübingen, Tübingen 72074, Germany; Senckenberg Centre for Human Evolution and Palaeoenvironment, University of Tübingen, Tübingen 72074, Germany
| | - Roberto Campbell
- Escuela de Antropología, Pontificia Universidad Católica de Chile, Santiago 6904411, Chile
| | - Felipe I Martínez
- Escuela de Antropología, Pontificia Universidad Católica de Chile, Santiago 6904411, Chile; Center for Intercultural and Indigenous Research, Santiago 7820436, Chile
| | - Paul Heggarty
- "Waves" ERC Group, Department of Human Behavior, Evolution and Culture, Max Planck Institute for Evolutionary Anthropology, Leipzig 04103, Germany
| | - Scott Sadowsky
- Department of Linguistics and Literature, Universidad de Cartagena, Cartagena 130001, Colombia
| | - Kentaro K Shimizu
- Department of Evolutionary Biology and Environmental Studies, University of Zurich, Zurich 8057, Switzerland; Center for the Interdisciplinary Study of Language Evolution, University of Zurich, Zurich 8050, Switzerland
| | - Chiara Barbieri
- Department of Evolutionary Biology and Environmental Studies, University of Zurich, Zurich 8057, Switzerland; Center for the Interdisciplinary Study of Language Evolution, University of Zurich, Zurich 8050, Switzerland; Department of Linguistic and Cultural Evolution, Max Planck Institute for Evolutionary Anthropology, Leipzig 04103, Germany.
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9
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Rull V. Human Settlement and Landscape Anthropization of Remote Oceanic Islands: A Comparison between Rapa Nui (Pacific Ocean) and the Azores (Atlantic Ocean). PLANTS (BASEL, SWITZERLAND) 2023; 12:plants12112089. [PMID: 37299069 DOI: 10.3390/plants12112089] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/28/2023] [Revised: 05/22/2023] [Accepted: 05/23/2023] [Indexed: 06/12/2023]
Abstract
The flora and vegetation of oceanic islands have been deeply affected by human settlement and further landscape modifications during prehistoric and historical times. The study of these transformations is of interest not only for understanding how current island biotas and ecological communities have been shaped but also for informing biodiversity and ecosystem conservation. This paper compares two oceanic insular entities of disparate geographical, environmental, biological, historical and cultural characteristics-Rapa Nui (Pacific Ocean) and the Azores Islands (Atlantic Ocean)-in terms of human settlement and further landscape anthropization. The similarities and differences between these islands/archipelagos are discussed considering their permanent colonization, the possibility of earlier settlements, the removal of the original forests and the further landscape transformations leading to either full floristic/vegetational degradation (Rapa Nui) or major replacement (Azores). This comparison uses evidence from varied disciplines, notably paleoecology, archaeology, anthropology and history, to obtain a holistic view of the development of the respective socioecological systems from a human ecodynamic perspective. The most relevant issues still to be resolved are identified and some prospects for future research are suggested. The cases of Rapa Nui and Azores Islands may help set a conceptual basis for ocean-wide global comparisons among oceanic islands/archipelagos.
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Affiliation(s)
- Valentí Rull
- Botanic Institute of Barcelona, Spanish National Research Council (CSIC), Pg. Migdia s/n, 08038 Barcelona, Spain
- Institut Català de Paleontologia Miquel Crusafont, Universitat Autònoma de Barcelona, Bld. ICTA-ICP, C. Columnes s/n, Cerdanyola del Vallès, 08193 Barcelona, Spain
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10
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Da Silva G, Koepfli C. Novel Plasmodium vivax genomes from Brazil identify targets for studies on drug resistance, transmission networks, and parasite evolution. LANCET REGIONAL HEALTH. AMERICAS 2023; 18:100439. [PMID: 36844012 PMCID: PMC9950650 DOI: 10.1016/j.lana.2023.100439] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/15/2022] [Accepted: 01/16/2023] [Indexed: 02/01/2023]
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11
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Urban M, Panchi EMA, Lee S, Brodetsky E. CINWA (database of terminology for cultivated plants in indigenous languages of northwestern South America): introducing a resource for research in ethnobiology, anthropology, historical linguistics, and interdisciplinary research on the neolithic transition in South America. LANG RESOUR EVAL 2022. [DOI: 10.1007/s10579-022-09628-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
AbstractThis article introduces CINWA, a freely accessible online database of terminology for cultivated plants in indigenous languages of South America based on FAIR principles for scientific data management and stewardship. In the pre-release version we present here, CINWA assembles more than 2700 terms from more than 60 indigenous languages of northwestern South America, and coverage will be continuously expanded. CINWA is primarily designed for use in historical linguistics to explore patterns of lexical borrowing that might be used as a proxy for tracing the pathways by which knowledge of individual cultivated plants and the associated know-how spread from speech community to speech community in pre-Columbian South America. In spite of intensifying research, this is still unclear for most cultivars as the locales of initial cultivation are heterogeneous and spatially diffuse. However, possible uses of the CINWA database are manifold and go beyond this research question. The database can be used as a resource for ethnobiological and comparative anthropological research on South American communities, South American agricultural ecosystems and practices, and for studies in lexical borrowing, language contact, and historical linguistics broadly.
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12
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Li J, Wang T, Liu W, Yin D, Lai Z, Zhang G, Zhang K, Ji J, Yin S. A high-quality chromosome-level genome assembly of Pelteobagrus vachelli provides insights into its environmental adaptation and population history. Front Genet 2022; 13:1050192. [DOI: 10.3389/fgene.2022.1050192] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2022] [Accepted: 11/01/2022] [Indexed: 11/16/2022] Open
Abstract
Pelteobagrus vachelli is a freshwater fish with high economic value, but the lack of genome resources has severely restricted its industrial development and population conservation. Here, we constructed the first chromosome-level genome assembly of P. vachelli with a total length of approximately 662.13 Mb and a contig N50 was 14.02 Mb, and scaffolds covering 99.79% of the assembly were anchored to 26 chromosomes. Combining the comparative genome results and transcriptome data under environmental stress (high temperature, hypoxia and Edwardsiella. ictaluri infection), the MAPK signaling pathway, PI3K-Akt signaling pathway and apelin signaling pathway play an important role in environmental adaptation of P. vachelli, and these pathways were interconnected by the ErbB family and involved in cell proliferation, differentiation and apoptosis. Population evolution analysis showed that artificial interventions have affected wild populations of P. vachelli. This study provides a useful genomic information for the genetic breeding of P. vachelli, as well as references for further studies on fish biology and evolution.
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13
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Capriles JM, García M, Valenzuela D, Domic AI, Kistler L, Rothhammer F, Santoro CM. Pre-Columbian cultivation of vegetatively propagated and fruit tree tropical crops in the Atacama Desert. Front Ecol Evol 2022. [DOI: 10.3389/fevo.2022.993630] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
South America is a megadiverse continent that witnessed the domestication, translocation and cultivation of various plant species from seemingly contrasting ecosystems. It was the recipient and supplier of crops brought to and from Mesoamerica (such as maize and cacao, respectively), and Polynesia to where the key staple crop sweet potato was exported. Not every instance of the trans-ecological expansion of cultivated plants (both domesticated and wild), however, resulted in successful farming. Here, we review the transregional circulation and introduction of five food tropical crops originated in the tropical and humid valleys of the eastern Andes—achira, cassava, ahipa, sweet potato, and pacay—to the hyper-arid coastal valleys of the Atacama Desert of northern Chile, where they have been found in early archeological sites. By means of an evaluation of the contexts of their deposition and supported by direct radiocarbon dating, stable isotopes analyses, and starch grain analysis, we evaluate different hypotheses for explaining their introduction and adaptation to the hyper-arid soils of northern Chile, by societal groups that after the introduction of cultigens still retained a strong dependence on marine hunting, gathering and fishing ways of life based on wide variety of marine coast resources. Many of the studied plants were part of a broader package of introduced goods and technological devices and procedures, linked to food, therapeutic medicine, social and ritual purposes that transformed previous hunter-gatherer social, economic, and ideological institutions. Based on archeological data, we discuss some of the possible socio-ecological processes involved in the development of agricultural landscapes including the adoption of tropical crops originated several hundred kilometers away from the Atacama Desert during the Late Holocene.
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14
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Oriol Sabat B, Mas Montserrat D, Giro-i-Nieto X, Ioannidis AG. SALAI-Net: species-agnostic local ancestry inference network. Bioinformatics 2022; 38:ii27-ii33. [PMID: 36124792 PMCID: PMC9486591 DOI: 10.1093/bioinformatics/btac464] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022] Open
Abstract
MOTIVATION Local ancestry inference (LAI) is the high resolution prediction of ancestry labels along a DNA sequence. LAI is important in the study of human history and migrations, and it is beginning to play a role in precision medicine applications including ancestry-adjusted genome-wide association studies (GWASs) and polygenic risk scores (PRSs). Existing LAI models do not generalize well between species, chromosomes or even ancestry groups, requiring re-training for each different setting. Furthermore, such methods can lack interpretability, which is an important element in each of these applications. RESULTS We present SALAI-Net, a portable statistical LAI method that can be applied on any set of species and ancestries (species-agnostic), requiring only haplotype data and no other biological parameters. Inspired by identity by descent methods, SALAI-Net estimates population labels for each segment of DNA by performing a reference matching approach, which leads to an interpretable and fast technique. We benchmark our models on whole-genome data of humans and we test these models' ability to generalize to dog breeds when trained on human data. SALAI-Net outperforms previous methods in terms of balanced accuracy, while generalizing between different settings, species and datasets. Moreover, it is up to two orders of magnitude faster and uses considerably less RAM memory than competing methods. AVAILABILITY AND IMPLEMENTATION We provide an open source implementation and links to publicly available data at github.com/AI-sandbox/SALAI-Net. Data is publicly available as follows: https://www.internationalgenome.org (1000 Genomes), https://www.simonsfoundation.org/simons-genome-diversity-project (Simons Genome Diversity Project), https://www.sanger.ac.uk/resources/downloads/human/hapmap3.html (HapMap), ftp://ngs.sanger.ac.uk/production/hgdp/hgdp_wgs.20190516 (Human Genome Diversity Project) and https://www.ncbi.nlm.nih.gov/bioproject/PRJNA448733 (Canid genomes). SUPPLEMENTARY INFORMATION Supplementary data are available from Bioinformatics online.
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Affiliation(s)
- Benet Oriol Sabat
- Department of Signal Theory and Communications, Universitat Politecnica de Catalunya, Barcelona 08034, Spain
- Department of Biomedical Data Science, Stanford Medical School
| | | | - Xavier Giro-i-Nieto
- Department of Signal Theory and Communications, Universitat Politecnica de Catalunya, Barcelona 08034, Spain
| | - Alexander G Ioannidis
- Department of Biomedical Data Science, Stanford Medical School
- Institute for Computational and Mathematical Engineering, Stanford University, Stanford, CA 94305, USA
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15
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Dai SS, Sulaiman X, Isakova J, Xu WF, Abdulloevich NT, Afanasevna ME, Ibrohimovich KB, Chen X, Yang WK, Wang MS, Shen QK, Yang XY, Yao YG, Aldashev AA, Saidov A, Chen W, Cheng LF, Peng MS, Zhang YP. The genetic echo of the Tarim mummies in modern Central Asians. Mol Biol Evol 2022; 39:6675590. [PMID: 36006373 PMCID: PMC9469894 DOI: 10.1093/molbev/msac179] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
Abstract
The diversity of Central Asians has been shaped by multiple migrations and cultural diffusion. Although ancient DNA studies have revealed the demographic changes of the Central Asian since the Bronze Age, the contribution of the ancient populations to the modern Central Asian remains opaque. Herein, we performed high-coverage sequencing of 131 whole genomes of Indo-European-speaking Tajik and Turkic-speaking Kyrgyz populations to explore their genomic diversity and admixture history. By integrating the ancient DNA data, we revealed more details of the origins and admixture history of Central Asians. We found that the major ancestry of present-day Tajik populations can be traced back to the admixture of the Bronze Age Bactria–Margiana Archaeological Complex and Andronovo-related populations. Highland Tajik populations further received additional gene flow from the Tarim mummies, an isolated ancient North Eurasian–related population. The West Eurasian ancestry of Kyrgyz is mainly derived from Historical Era populations in Xinjiang of China. Furthermore, the recent admixture signals detected in both Tajik and Kyrgyz are ascribed to the expansions of Eastern Steppe nomadic pastoralists during the Historical Era.
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Affiliation(s)
- Shan Shan Dai
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China.,Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming 650204, China
| | - Xierzhatijiang Sulaiman
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China.,Department of Pharmacology, School of Pharmacy, Xinjiang Medical University, Urumqi 830054, China
| | - Jainagul Isakova
- Institute of Molecular Biology and Medicine, Bishkek 720040, Kyrgyzstan
| | - Wei Fang Xu
- Shenzhen Hospital of Guangzhou University of Chinese Medicine, Shenzhen 518034, China
| | - Najmudinov Tojiddin Abdulloevich
- E.N. Pavlovsky Institute of Zoology and Parasitology, Academy of Sciences of Republic of Tajikistan, Dushanbe 734025, Tajikistan
| | - Manilova Elena Afanasevna
- E.N. Pavlovsky Institute of Zoology and Parasitology, Academy of Sciences of Republic of Tajikistan, Dushanbe 734025, Tajikistan
| | - Khudoidodov Behruz Ibrohimovich
- E.N. Pavlovsky Institute of Zoology and Parasitology, Academy of Sciences of Republic of Tajikistan, Dushanbe 734025, Tajikistan
| | - Xi Chen
- Research Center for Ecology and Environment of Central Asia, Chinese Academy of Sciences, Urumqi 830011, China.,State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China
| | - Wei Kang Yang
- State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China
| | - Ming Shan Wang
- Howard Hughes Medical Institute, University of California Santa Cruz, Santa Cruz, CA 95064, USA
| | - Quan Kuan Shen
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China.,Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming 650204, China
| | - Xing Yan Yang
- Key Laboratory of Chemistry in Ethnic Medicinal Resource, Yunnan Minzu University, Kunming 650504, China.,School of Chemistry and Environment, Yunnan Minzu University, Kunming 650504, China
| | - Yong Gang Yao
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences & Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China.,KIZ/CUHK Joint Laboratory of Bio-resources and Molecular Research in Common Diseases, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China.,Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming 650204, China
| | - Almaz A Aldashev
- Institute of Molecular Biology and Medicine, Bishkek 720040, Kyrgyzstan
| | - Abdusattor Saidov
- E.N. Pavlovsky Institute of Zoology and Parasitology, Academy of Sciences of Republic of Tajikistan, Dushanbe 734025, Tajikistan
| | - Wei Chen
- College of Agronomy and Biotechnology, Yunnan Agricultural University, Kunming 650224, China.,State Key Laboratory for Conservation and Utilization of Bio-Resources in Yunnan, Yunnan Agricultural University, Kunming 650224, China
| | - Lu Feng Cheng
- Department of Pharmacology, School of Pharmacy, Xinjiang Medical University, Urumqi 830054, China
| | - Min Sheng Peng
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China.,KIZ/CUHK Joint Laboratory of Bio-resources and Molecular Research in Common Diseases, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China.,Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming 650204, China
| | - Ya Ping Zhang
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China.,KIZ/CUHK Joint Laboratory of Bio-resources and Molecular Research in Common Diseases, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China.,Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming 650204, China.,State Key Laboratory for Conservation and Utilization of Bio-Resources in Yunnan, School of Life Sciences, Yunnan University, Kunming 650091, China
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16
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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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17
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Bastard P, Hsiao KC, Zhang Q, Choin J, Best E, Chen J, Gervais A, Bizien L, Materna M, Harmant C, Roux M, Hawley NL, Weeks DE, McGarvey ST, Sandoval K, Barberena-Jonas C, Quinto-Cortés CD, Hagelberg E, Mentzer AJ, Robson K, Coulibaly B, Seeleuthner Y, Bigio B, Li Z, Uzé G, Pellegrini S, Lorenzo L, Sbihi Z, Latour S, Besnard M, Adam de Beaumais T, Jacqz Aigrain E, Béziat V, Deka R, Esera Tulifau L, Viali S, Reupena MS, Naseri T, McNaughton P, Sarkozy V, Peake J, Blincoe A, Primhak S, Stables S, Gibson K, Woon ST, Drake KM, Hill AV, Chan CY, King R, Ameratunga R, Teiti I, Aubry M, Cao-Lormeau VM, Tangye SG, Zhang SY, Jouanguy E, Gray P, Abel L, Moreno-Estrada A, Minster RL, Quintana-Murci L, Wood AC, Casanova JL. A loss-of-function IFNAR1 allele in Polynesia underlies severe viral diseases in homozygotes. J Exp Med 2022; 219:213170. [PMID: 35442418 PMCID: PMC9026234 DOI: 10.1084/jem.20220028] [Citation(s) in RCA: 24] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2022] [Revised: 02/15/2022] [Accepted: 03/21/2022] [Indexed: 12/11/2022] Open
Abstract
Globally, autosomal recessive IFNAR1 deficiency is a rare inborn error of immunity underlying susceptibility to live attenuated vaccine and wild-type viruses. We report seven children from five unrelated kindreds of western Polynesian ancestry who suffered from severe viral diseases. All the patients are homozygous for the same nonsense IFNAR1 variant (p.Glu386*). This allele encodes a truncated protein that is absent from the cell surface and is loss-of-function. The fibroblasts of the patients do not respond to type I IFNs (IFN-α2, IFN-ω, or IFN-β). Remarkably, this IFNAR1 variant has a minor allele frequency >1% in Samoa and is also observed in the Cook, Society, Marquesas, and Austral islands, as well as Fiji, whereas it is extremely rare or absent in the other populations tested, including those of the Pacific region. Inherited IFNAR1 deficiency should be considered in individuals of Polynesian ancestry with severe viral illnesses.
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Affiliation(s)
- Paul Bastard
- Laboratory of Human Genetics of Infectious Diseases, Necker Branch, INSERM U1163, Necker Hospital for Sick Children, Paris, France
- St. Giles Laboratory of Human Genetics of Infectious Diseases, Rockefeller Branch, The Rockefeller University, New York, NY
- Paris Cité University, Imagine Institute, Paris, France
- Department of Pediatrics, Necker Hospital for Sick Children, Assistance Publique – Hôpitaux de Paris, Paris, France
| | - Kuang-Chih Hsiao
- Starship Child Health, Auckland, New Zealand
- Department of Paediatrics: Child and Youth Health, Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand
- Murdoch Children’s Research Institute, Melbourne, Australia
- Clinical Immunogenomics Research Consortium Australasia, Sydney, Australia
| | - Qian Zhang
- Laboratory of Human Genetics of Infectious Diseases, Necker Branch, INSERM U1163, Necker Hospital for Sick Children, Paris, France
- St. Giles Laboratory of Human Genetics of Infectious Diseases, Rockefeller Branch, The Rockefeller University, New York, NY
- Paris Cité University, Imagine Institute, Paris, France
| | - Jeremy Choin
- Institut Pasteur, Université de Paris, CNRS UMR2000, Human Evolutionary Genetics Unit, Paris, France
- Chair of Human Genomics and Evolution, Collège de France, Paris, France
- Paris Cité University, Paris, France
| | - Emma Best
- Starship Child Health, Auckland, New Zealand
- Department of Paediatrics: Child and Youth Health, Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand
| | - Jie Chen
- St. Giles Laboratory of Human Genetics of Infectious Diseases, Rockefeller Branch, The Rockefeller University, New York, NY
- Department of Infectious Diseases, Shanghai Sixth Hospital, Shanghai Jiaotong University, Shanghai, China
| | - Adrian Gervais
- Laboratory of Human Genetics of Infectious Diseases, Necker Branch, INSERM U1163, Necker Hospital for Sick Children, Paris, France
- Paris Cité University, Imagine Institute, Paris, France
| | - Lucy Bizien
- Laboratory of Human Genetics of Infectious Diseases, Necker Branch, INSERM U1163, Necker Hospital for Sick Children, Paris, France
- Paris Cité University, Imagine Institute, Paris, France
| | - Marie Materna
- Laboratory of Human Genetics of Infectious Diseases, Necker Branch, INSERM U1163, Necker Hospital for Sick Children, Paris, France
- Paris Cité University, Imagine Institute, Paris, France
| | - Christine Harmant
- Institut Pasteur, Université de Paris, CNRS UMR2000, Human Evolutionary Genetics Unit, Paris, France
| | - Maguelonne Roux
- Institut Pasteur, Université de Paris, CNRS UMR2000, Human Evolutionary Genetics Unit, Paris, France
- Institut Pasteur, Université de Paris, Bioinformatics and Biostatistics Hub, Paris, France
| | - Nicola L. Hawley
- Department of Chronic Disease Epidemiology, Yale University School of Public Health, New Haven, CT
- International Health Institute, Department of Epidemiology, School of Public Health, Brown University, Providence, RI
| | - Daniel E. Weeks
- Department of Human Genetics, School of Public Health, University of Pittsburgh, Pittsburgh, PA
- Department of Biostatistics, School of Public Health, University of Pittsburgh, Pittsburgh, PA
| | - Stephen T. McGarvey
- International Health Institute, Department of Epidemiology, School of Public Health, Brown University, Providence, RI
- Department of Anthropology, Brown University, Providence, RI
| | - Karla Sandoval
- National Laboratory of Genomics for Biodiversity (LANGEBIO) - UGA, CINVESTAV, Irapuato, Guanajuato, Mexico
| | - Carmina Barberena-Jonas
- National Laboratory of Genomics for Biodiversity (LANGEBIO) - UGA, CINVESTAV, Irapuato, Guanajuato, Mexico
| | - Consuelo D. Quinto-Cortés
- National Laboratory of Genomics for Biodiversity (LANGEBIO) - UGA, CINVESTAV, Irapuato, Guanajuato, Mexico
| | | | - Alexander J. Mentzer
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK
- Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, UK
| | - Kathryn Robson
- MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK
| | - Boubacar Coulibaly
- Laboratory of Human Genetics of Infectious Diseases, Necker Branch, INSERM U1163, Necker Hospital for Sick Children, Paris, France
- Paris Cité University, Imagine Institute, Paris, France
| | - Yoann Seeleuthner
- Laboratory of Human Genetics of Infectious Diseases, Necker Branch, INSERM U1163, Necker Hospital for Sick Children, Paris, France
| | - Benedetta Bigio
- St. Giles Laboratory of Human Genetics of Infectious Diseases, Rockefeller Branch, The Rockefeller University, New York, NY
| | - Zhi Li
- Institut Pasteur, Université de Paris, CNRS UMR2000, Human Evolutionary Genetics Unit, Paris, France
- Unit of Cytokine Signaling, Pasteur Institute, INSERM U1224, Paris, France
| | - Gilles Uzé
- Institute for Regenerative Medicine and Biotherapy, Université Montpellier, INSERM, CNRS, Montpellier, France
| | - Sandra Pellegrini
- Unit of Cytokine Signaling, Pasteur Institute, INSERM U1224, Paris, France
| | - Lazaro Lorenzo
- Laboratory of Human Genetics of Infectious Diseases, Necker Branch, INSERM U1163, Necker Hospital for Sick Children, Paris, France
- Paris Cité University, Imagine Institute, Paris, France
| | - Zineb Sbihi
- Laboratory of Lymphocyte Activation and Susceptibility to EBV Infection, INSERM UMR 1163, Imagine Institute, Paris, France
| | - Sylvain Latour
- Paris Cité University, Imagine Institute, Paris, France
- Laboratory of Lymphocyte Activation and Susceptibility to EBV Infection, INSERM UMR 1163, Imagine Institute, Paris, France
| | - Marianne Besnard
- Department of Neonatology, Centre Hospitalier de Polynésie Française, Papeete, French Polynesia
| | - Tiphaine Adam de Beaumais
- Precision Cancer Medicine Team, Institut Gustave Roussy, Villejuif, France
- Pharmacology - Pharmacogenetic Department, Hopital Saint-Louis, Assistance Publique – Hôpitaux de Paris, Paris, France
| | - Evelyne Jacqz Aigrain
- Paris Cité University, Paris, France
- Pharmacology - Pharmacogenetic Department, Hopital Saint-Louis, Assistance Publique – Hôpitaux de Paris, Paris, France
| | - Vivien Béziat
- Laboratory of Human Genetics of Infectious Diseases, Necker Branch, INSERM U1163, Necker Hospital for Sick Children, Paris, France
- St. Giles Laboratory of Human Genetics of Infectious Diseases, Rockefeller Branch, The Rockefeller University, New York, NY
- Paris Cité University, Imagine Institute, Paris, France
| | - Ranjan Deka
- Department of Environmental and Public Health Sciences, College of Medicine, University of Cincinnati, Cincinnati, OH
| | | | | | | | - Take Naseri
- International Health Institute, Department of Epidemiology, School of Public Health, Brown University, Providence, RI
- Ministry of Health, Apia, Samoa
| | - Peter McNaughton
- Clinical Immunogenomics Research Consortium Australasia, Sydney, Australia
- Queensland Children’s Hospital and University of Queensland, Brisbane, Queensland, Australia
| | - Vanessa Sarkozy
- Tumbatin Developmental Services, Sydney Children’s Hospital, Randwick, New South Wales, Australia
- School of Women’s and Children’s Health, University of New South Wales, Sydney, New South Wales, Australia
| | - Jane Peake
- Clinical Immunogenomics Research Consortium Australasia, Sydney, Australia
- Queensland Children’s Hospital and University of Queensland, Brisbane, Queensland, Australia
| | - Annaliesse Blincoe
- Starship Child Health, Auckland, New Zealand
- Clinical Immunogenomics Research Consortium Australasia, Sydney, Australia
| | - Sarah Primhak
- Starship Child Health, Auckland, New Zealand
- Department of Paediatrics: Child and Youth Health, Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand
| | - Simon Stables
- Department of Forensic Pathology, Auckland City Hospital, Auckland, New Zealand
| | - Kate Gibson
- Clinical Geneticist, South Island Hub, Genetic Health Service, Christchurch, New Zealand
| | - See-Tarn Woon
- Department of Virology and Immunology, LabPLUS, Auckland City Hospital, Auckland, New Zealand
- Department of Molecular Medicine and Pathology, Faculty of Medical and Health Science, University of Auckland, Auckland, New Zealand
| | - Kylie Marie Drake
- Molecular Pathology, Canterbury Health Laboratories, Christchurch, New Zealand
| | - Adrian V.S. Hill
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK
- The Jenner Institute, Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - Cheng-Yee Chan
- Chemical Pathology and Genetics, Canterbury Health Laboratories, Christchurch, New Zealand
| | - Richard King
- Chemical Pathology and Genetics, Canterbury Health Laboratories, Christchurch, New Zealand
| | - Rohan Ameratunga
- Department of Virology and Immunology, LabPLUS, Auckland City Hospital, Auckland, New Zealand
- Department of Molecular Medicine and Pathology, Faculty of Medical and Health Science, University of Auckland, Auckland, New Zealand
- Department of Clinical Immunology, Auckland City Hospital, Auckland, New Zealand
| | - Iotefa Teiti
- Laboratory of Research on Infectious Vector-borne Diseases, Institut Louis Malardé, Papeete, French Polynesia
| | - Maite Aubry
- Laboratory of Research on Infectious Vector-borne Diseases, Institut Louis Malardé, Papeete, French Polynesia
| | - Van-Mai Cao-Lormeau
- Laboratory of Research on Infectious Vector-borne Diseases, Institut Louis Malardé, Papeete, French Polynesia
| | - Stuart G. Tangye
- Clinical Immunogenomics Research Consortium Australasia, Sydney, Australia
- Garvan Institute of Medical Research, Sydney, Australia
- St Vincent’s Clinical School, Faculty of Medicine and Health, UNSW Sydney, Sydney, New South Wales, Australia
| | - Shen-Ying Zhang
- Laboratory of Human Genetics of Infectious Diseases, Necker Branch, INSERM U1163, Necker Hospital for Sick Children, Paris, France
- St. Giles Laboratory of Human Genetics of Infectious Diseases, Rockefeller Branch, The Rockefeller University, New York, NY
- Paris Cité University, Imagine Institute, Paris, France
| | - Emmanuelle Jouanguy
- Laboratory of Human Genetics of Infectious Diseases, Necker Branch, INSERM U1163, Necker Hospital for Sick Children, Paris, France
- St. Giles Laboratory of Human Genetics of Infectious Diseases, Rockefeller Branch, The Rockefeller University, New York, NY
- Paris Cité University, Imagine Institute, Paris, France
| | - Paul Gray
- Clinical Immunogenomics Research Consortium Australasia, Sydney, Australia
- School of Women’s and Children’s Health, University of New South Wales, Sydney, New South Wales, Australia
- Department of Immunology and Infectious Diseases, Sydney Children’s Hospital, Randwick, New South Wales, Australia
| | - Laurent Abel
- Laboratory of Human Genetics of Infectious Diseases, Necker Branch, INSERM U1163, Necker Hospital for Sick Children, Paris, France
- St. Giles Laboratory of Human Genetics of Infectious Diseases, Rockefeller Branch, The Rockefeller University, New York, NY
- Paris Cité University, Imagine Institute, Paris, France
| | - Andrés Moreno-Estrada
- National Laboratory of Genomics for Biodiversity (LANGEBIO) - UGA, CINVESTAV, Irapuato, Guanajuato, Mexico
| | - Ryan L. Minster
- Department of Human Genetics, School of Public Health, University of Pittsburgh, Pittsburgh, PA
| | - Lluis Quintana-Murci
- Institut Pasteur, Université de Paris, CNRS UMR2000, Human Evolutionary Genetics Unit, Paris, France
- Chair of Human Genomics and Evolution, Collège de France, Paris, France
| | - Andrew C. Wood
- Starship Child Health, Auckland, New Zealand
- Department of Molecular Medicine and Pathology, Faculty of Medical and Health Science, University of Auckland, Auckland, New Zealand
| | - Jean-Laurent Casanova
- Laboratory of Human Genetics of Infectious Diseases, Necker Branch, INSERM U1163, Necker Hospital for Sick Children, Paris, France
- St. Giles Laboratory of Human Genetics of Infectious Diseases, Rockefeller Branch, The Rockefeller University, New York, NY
- Paris Cité University, Imagine Institute, Paris, France
- Department of Pediatrics, Necker Hospital for Sick Children, Assistance Publique – Hôpitaux de Paris, Paris, France
- Howard Hughes Medical Institute, New York, NY
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18
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Population interconnectivity over the past 120,000 years explains distribution and diversity of Central African hunter-gatherers. Proc Natl Acad Sci U S A 2022; 119:e2113936119. [PMID: 35580185 PMCID: PMC9173804 DOI: 10.1073/pnas.2113936119] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022] Open
Abstract
We combined ethnographic, archaeological, genetic, and paleoclimatic data to model the dynamics of Central African hunter-gatherer populations over the past 120,000 years. We show, against common assumptions, that their distribution and density are explained by changing environments rather than by a displacement following recent farming expansions, and that they have maintained large population sizes and genetic diversity, despite fluctuations in niche availability. Our results provide insights into the evolution of genetic and cultural diversity in Homo sapiens. The evolutionary history of African hunter-gatherers holds key insights into modern human diversity. Here, we combine ethnographic and genetic data on Central African hunter-gatherers (CAHG) to show that their current distribution and density are explained by ecology rather than by a displacement to marginal habitats due to recent farming expansions, as commonly assumed. We also estimate the range of hunter-gatherer presence across Central Africa over the past 120,000 years using paleoclimatic reconstructions, which were statistically validated by our newly compiled dataset of dated archaeological sites. Finally, we show that genomic estimates of divergence times between CAHG groups match our ecological estimates of periods favoring population splits, and that recoveries of connectivity would have facilitated subsequent gene flow. Our results reveal that CAHG stem from a deep history of partially connected populations. This form of sociality allowed the coexistence of relatively large effective population sizes and local differentiation, with important implications for the evolution of genetic and cultural diversity in Homo sapiens.
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19
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Rodríguez-Rodríguez JE, Ioannidis AG, Medina-Muñoz SG, Barberena-Jonas C, Blanco-Portillo J, Quinto-Cortés CD, Moreno-Estrada A. The genetic legacy of the Manila galleon trade in Mexico. Philos Trans R Soc Lond B Biol Sci 2022; 377:20200419. [PMID: 35430879 PMCID: PMC9014187 DOI: 10.1098/rstb.2020.0419] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
The population of Mexico has a considerable genetic substructure due to both its pre-Columbian diversity and due to genetic admixture from post-Columbian trans-oceanic migrations. The latter primarily originated in Europe and Africa, but also, to a lesser extent, in Asia. We analyze previously understudied genetic connections between Asia and Mexico to infer the timing and source of this genetic ancestry in Mexico. We identify the predominant origin within Southeast Asia—specifically western Indonesian and non-Negrito Filipino sources—and we date its arrival in Mexico to approximately 13 generations ago (1620 CE). This points to a genetic legacy from the seventeenth century Manila galleon trade between the colonial Spanish Philippines and the Pacific port of Acapulco. Indeed, within Mexico we observe the highest level of this trans-Pacific ancestry in Acapulco, located in the state of Guerrero. This colonial Spanish trade route from East Asia to Europe was centred on Mexico and appears in historical records, but its legacy has been largely ignored. Identities and stories were suppressed due to slavery, assimilation of the immigrants as ‘Indios’ and incomplete historical records. Here we characterize this understudied Mexican ancestry. This article is part of the theme issue ‘Celebrating 50 years since Lewontin's apportionment of human diversity’.
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Affiliation(s)
- Juan Esteban Rodríguez-Rodríguez
- National Laboratory of Genomics for Biodiversity (LANGEBIO), Advanced Genomics Unit (UGA), CINVESTAV, Irapuato, Guanajuato 36824, Mexico
| | | | - Santiago G. Medina-Muñoz
- National Laboratory of Genomics for Biodiversity (LANGEBIO), Advanced Genomics Unit (UGA), CINVESTAV, Irapuato, Guanajuato 36824, Mexico
| | - Carmina Barberena-Jonas
- National Laboratory of Genomics for Biodiversity (LANGEBIO), Advanced Genomics Unit (UGA), CINVESTAV, Irapuato, Guanajuato 36824, Mexico
| | | | - Consuelo D. Quinto-Cortés
- National Laboratory of Genomics for Biodiversity (LANGEBIO), Advanced Genomics Unit (UGA), CINVESTAV, Irapuato, Guanajuato 36824, Mexico
| | - Andrés Moreno-Estrada
- National Laboratory of Genomics for Biodiversity (LANGEBIO), Advanced Genomics Unit (UGA), CINVESTAV, Irapuato, Guanajuato 36824, Mexico
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20
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Gopalan S, Smith SP, Korunes K, Hamid I, Ramachandran S, Goldberg A. Human genetic admixture through the lens of population genomics. Philos Trans R Soc Lond B Biol Sci 2022; 377:20200410. [PMID: 35430881 PMCID: PMC9014191 DOI: 10.1098/rstb.2020.0410] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
Over the past 50 years, geneticists have made great strides in understanding how our species' evolutionary history gave rise to current patterns of human genetic diversity classically summarized by Lewontin in his 1972 paper, ‘The Apportionment of Human Diversity’. One evolutionary process that requires special attention in both population genetics and statistical genetics is admixture: gene flow between two or more previously separated source populations to form a new admixed population. The admixture process introduces ancestry-based structure into patterns of genetic variation within and between populations, which in turn influences the inference of demographic histories, identification of genetic targets of selection and prediction of complex traits. In this review, we outline some challenges for admixture population genetics, including limitations of applying methods designed for populations without recent admixture to the study of admixed populations. We highlight recent studies and methodological advances that aim to overcome such challenges, leveraging genomic signatures of admixture that occurred in the past tens of generations to gain insights into human history, natural selection and complex trait architecture. This article is part of the theme issue ‘Celebrating 50 years since Lewontin's apportionment of human diversity’.
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Affiliation(s)
- Shyamalika Gopalan
- Department of Evolutionary Anthropology, Duke University, Durham, NC 27708, USA
| | - Samuel Pattillo Smith
- Center for Computational Molecular Biology, Brown University, Providence, RI 02912, USA
- Department of Ecology, Evolution and Organismal Biology, Brown University, Providence, RI 02912, USA
| | - Katharine Korunes
- Department of Evolutionary Anthropology, Duke University, Durham, NC 27708, USA
| | - Iman Hamid
- Department of Evolutionary Anthropology, Duke University, Durham, NC 27708, USA
| | - Sohini Ramachandran
- Center for Computational Molecular Biology, Brown University, Providence, RI 02912, USA
- Department of Ecology, Evolution and Organismal Biology, Brown University, Providence, RI 02912, USA
- Data Science Initiative, Brown University, Providence, RI 02912, USA
| | - Amy Goldberg
- Department of Evolutionary Anthropology, Duke University, Durham, NC 27708, USA
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21
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Menéndez LP, Paul KS, de la Fuente C, Almeida T, Delgado M, Figueiro G, Jorgensen K, Kuzminsky S, López-Sosa MC, Nichols J, Roksandic M, Scott GR, O'Rourke D, Hubbe M. Towards an interdisciplinary perspective for the study of human expansions and biocultural diversity in the Americas. Evol Anthropol 2022; 31:62-68. [PMID: 35043498 DOI: 10.1002/evan.21937] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2021] [Revised: 12/20/2021] [Accepted: 12/28/2021] [Indexed: 11/06/2022]
Affiliation(s)
- Lumila P Menéndez
- Department of Anthropology of the Americas, University of Bonn, Bonn, Germany.,Theoretical Biology Unit, Department of Evolutionary Biology, University of Vienna, Vienna, Austria
| | - Kathleen S Paul
- Department of Anthropology, University of Arkansas, Fayetteville, Arkansas, USA
| | | | - Tatiana Almeida
- Clinical Laboratory & BigData and Analytics, Hospital Israelita Albert Einstein, São Paulo, Brazil.,Laboratório de Estudos em Antropologia Biológica, Bioarqueologia e Evolução Humana, Universidade Federal do Rio Grande, Rio Grande, Brazil
| | - Miguel Delgado
- Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), República Argentina (CONICET), División Antropología, Facultad de Ciencias Naturales y Museo, Universidad Nacional de La Plata, La Plata, República Argentina.,Ministry of Education Key Laboratory of Contemporary Anthropology Collaborative Innovation Center of Genetics and Development, School of Life Sciences and Human Phenome Institute Fudan University, Shanghai, China
| | - Gonzalo Figueiro
- Departamento de Antropología Biológica, Universidad de la República, Montevideo, Uruguay
| | - Kelsey Jorgensen
- Department of Anthropology, Wayne State University, Detroit, Michigan, USA
| | - Susan Kuzminsky
- Department of Anthropology and Applied Archaeology, Eastern New Mexico University, Portales, New Mexico, USA.,Anthropology Department, University of California, Santa Cruz, California, USA
| | | | - Johanna Nichols
- Department of Slavic Languages and Literatures, University of California, Berkeley, California, USA
| | - Mirjana Roksandic
- Department of Anthropology, University of Winnipeg, Winnipeg, Manitoba, Canada
| | | | - Dennis O'Rourke
- Department of Anthropology, University of Kansas, Lawrence, Kansas, USA
| | - Mark Hubbe
- Department of Anthropology, Ohio State University, Columbus, Ohio, USA.,Instituto de Arqueología y Antropología, Universidad Católica del Norte, Antofagasta, Chile
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22
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Tätte K, Metspalu E, Post H, Palencia-Madrid L, Luis JR, Reidla M, Tamm E, Ilumäe AM, de Pancorbo MM, Garcia-Bertrand R, Metspalu M, Herrera RJ. Genetic characterization of populations in the Marquesas Archipelago in the context of the Austronesian expansion. Sci Rep 2022; 12:5312. [PMID: 35351918 PMCID: PMC8964752 DOI: 10.1038/s41598-022-08910-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2021] [Accepted: 03/14/2022] [Indexed: 11/30/2022] Open
Abstract
Our exploration of the genetic constitution of Nuku Hiva (n = 51), Hiva Oa (n = 28) and Tahuata (n = 8) of the Marquesas Archipelago based on the analyses of genome-wide autosomal markers as well as high-resolution genotyping of paternal and maternal lineages provides us with information on the origins and settlement of these islands at the fringe of the Austronesian expansion. One widespread theme that emerges from this study is the genetic uniformity and relative isolation exhibited by the Marquesas and Society populations. This genetic homogeneity within East Polynesia groups is reflected in their limited average heterozygosity, uniformity of constituents in the Structure analyses, reiteration of complete mtDNA sequences, marked separation from Asian and other Oceanic populations in the PC analyses, limited differentiation in the PCAs and large number of IBD segments in common. Both the f3 and the Outgroup f3 results provide indications of intra-East Polynesian gene flow that may have promoted the observed intra-East Polynesia genetic homogeneity while ALDER analyses indicate that East Polynesia experienced two gene flow episodes, one relatively recent from Europe that coincides roughly with the European incursion into the region and an early one that may represent the original settlement of the islands by Austronesians. Median Network analysis based on high-resolution Y-STR loci under C2a-M208 generates a star-like topology with East Polynesian groups (especially from the Society Archipelago) in central stem positions and individuals from the different populations radiating out one mutational step away while several Samoan and outlier individuals occupy peripheral positions. This arrangement of populations is congruent with dispersals of C2a-M208 Y chromosomes from East Polynesia as a migration hub signaling dispersals in various directions. The equivalent ages of the C2a-M208 lineage of the populations in the Network corroborate an east to west flow of the most abundant Polynesian Y chromosome.
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Affiliation(s)
- Kai Tätte
- Estonian Biocentre, Institute of Genomics, University of Tartu, 51010, Tartu, Estonia
| | - Ene Metspalu
- Estonian Biocentre, Institute of Genomics, University of Tartu, 51010, Tartu, Estonia
| | - Helen Post
- Estonian Biocentre, Institute of Genomics, University of Tartu, 51010, Tartu, Estonia
| | - Leire Palencia-Madrid
- BIOMICs Research Group, Lascaray Research Center, University of the Basque Country (UPV/EHU), 01006, Vitoria-Gasteiz, Spain
| | - Javier Rodríguez Luis
- Area de Antropología, Facultad de Biología, Universidad de Santiago de Compostela, Campus Sur s/n, 15782, Santiago de Compostela, Spain
| | - Maere Reidla
- Estonian Biocentre, Institute of Genomics, University of Tartu, 51010, Tartu, Estonia
| | - Erika Tamm
- Estonian Biocentre, Institute of Genomics, University of Tartu, 51010, Tartu, Estonia
| | - Anne-Mai Ilumäe
- Estonian Biocentre, Institute of Genomics, University of Tartu, 51010, Tartu, Estonia.,Department of Biology, University of Turku, 20014, Turku, Finland
| | - Marian M de Pancorbo
- BIOMICs Research Group, Lascaray Research Center, University of the Basque Country (UPV/EHU), 01006, Vitoria-Gasteiz, Spain
| | | | - Mait Metspalu
- Estonian Biocentre, Institute of Genomics, University of Tartu, 51010, Tartu, Estonia
| | - Rene J Herrera
- Department of Molecular Biology, Colorado College, Colorado Springs, CO, 80903, USA.
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23
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Flores-Bello A, Font-Porterias N, Aizpurua-Iraola J, Duarri-Redondo S, Comas D. The genetic scenario of Mercheros: an under-represented group within the Iberian Peninsula. BMC Genomics 2021; 22:897. [PMID: 34911433 PMCID: PMC8672588 DOI: 10.1186/s12864-021-08203-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2021] [Accepted: 11/18/2021] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND The general picture of human genetic variation has been vastly depicted in the last years, yet many populations remain broadly understudied. In this work, we analyze for the first time the Merchero population, a Spanish minority ethnic group that has been scarcely studied and historically persecuted. Mercheros have been roughly characterised by an itinerant history, common traditional occupations, and the usage of their own language. RESULTS Here, we examine the demographic history and genetic scenario of Mercheros, by using genome-wide array data, whole mitochondrial sequences, and Y chromosome STR markers from 25 individuals. These samples have been complemented with a wide-range of present-day populations from Western Eurasia and North Africa. Our results show that the genetic diversity of Mercheros is explained within the context of the Iberian Peninsula, evidencing a modest signal of Roma admixture. In addition, Mercheros present low genetic isolation and intrapopulation heterogeneity. CONCLUSIONS This study represents the first genetic characterisation of the Merchero population, depicting their fine-scale ancestry components and genetic scenario within the Iberian Peninsula. Since ethnicity is not only influenced by genetic ancestry but also cultural factors, other studies from multiple disciplines are needed to further explore the Merchero population. As with Mercheros, there is a considerable gap of underrepresented populations and ethnic groups in publicly available genetic data. Thus, we encourage the consideration of more ethnically diverse population panels in human genetic studies, as an attempt to improve the representation of human populations and better reconstruct their fine-scale history.
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Affiliation(s)
- André Flores-Bello
- Departament de Ciències de la Salut i de la Vida, Institut de Biologia Evolutiva (CSIC-UPF), Universitat Pompeu Fabra, 08003, Barcelona, Spain
| | - Neus Font-Porterias
- Departament de Ciències de la Salut i de la Vida, Institut de Biologia Evolutiva (CSIC-UPF), Universitat Pompeu Fabra, 08003, Barcelona, Spain
| | - Julen Aizpurua-Iraola
- Departament de Ciències de la Salut i de la Vida, Institut de Biologia Evolutiva (CSIC-UPF), Universitat Pompeu Fabra, 08003, Barcelona, Spain
| | - Sara Duarri-Redondo
- Departament de Ciències de la Salut i de la Vida, Institut de Biologia Evolutiva (CSIC-UPF), Universitat Pompeu Fabra, 08003, Barcelona, Spain
| | - David Comas
- Departament de Ciències de la Salut i de la Vida, Institut de Biologia Evolutiva (CSIC-UPF), Universitat Pompeu Fabra, 08003, Barcelona, Spain.
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24
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The genomic landscape of Mexican Indigenous populations brings insights into the peopling of the Americas. Nat Commun 2021; 12:5942. [PMID: 34642312 PMCID: PMC8511047 DOI: 10.1038/s41467-021-26188-w] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2019] [Accepted: 09/22/2021] [Indexed: 12/30/2022] Open
Abstract
The genetic makeup of Indigenous populations inhabiting Mexico has been strongly influenced by geography and demographic history. Here, we perform a genome-wide analysis of 716 newly genotyped individuals from 60 of the 68 recognized ethnic groups in Mexico. We show that the genetic structure of these populations is strongly influenced by geography, and our demographic reconstructions suggest a decline in the population size of all tested populations in the last 15-30 generations. We find evidence that Aridoamerican and Mesoamerican populations diverged roughly 4-9.9 ka, around the time when sedentary farming started in Mesoamerica. Comparisons with ancient genomes indicate that the Upward Sun River 1 (USR1) individual is an outgroup to Mexican/South American Indigenous populations, whereas Anzick-1 was more closely related to Mesoamerican/South American populations than to those from Aridoamerica, showing an even more complex history of divergence than recognized so far.
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25
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Liu Y, Mao X, Krause J, Fu Q. Insights into human history from the first decade of ancient human genomics. Science 2021; 373:1479-1484. [PMID: 34554811 DOI: 10.1126/science.abi8202] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/02/2022]
Abstract
[Figure: see text].
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Affiliation(s)
- Yichen Liu
- Key Laboratory of Vertebrate Evolution and Human Origins, Institute of Vertebrate Paleontology and Paleoanthropology, Center for Excellence in Life and Paleoenvironment, Chinese Academy of Sciences, Beijing, 100044, China
| | - Xiaowei Mao
- Key Laboratory of Vertebrate Evolution and Human Origins, Institute of Vertebrate Paleontology and Paleoanthropology, Center for Excellence in Life and Paleoenvironment, Chinese Academy of Sciences, Beijing, 100044, China
| | - Johannes Krause
- Max Planck Institute for Evolutionary Anthropology, Deutscher Platz 6, 04103 Leipzig, Germany
| | - Qiaomei Fu
- Key Laboratory of Vertebrate Evolution and Human Origins, Institute of Vertebrate Paleontology and Paleoanthropology, Center for Excellence in Life and Paleoenvironment, Chinese Academy of Sciences, Beijing, 100044, China.,University of the Chinese Academy of Sciences, Beijing, 100049, China
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26
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Isshiki M, Naka I, Kimura R, Nishida N, Furusawa T, Natsuhara K, Yamauchi T, Nakazawa M, Ishida T, Inaoka T, Matsumura Y, Ohtsuka R, Ohashi J. Admixture with indigenous people helps local adaptation: admixture-enabled selection in Polynesians. BMC Ecol Evol 2021; 21:179. [PMID: 34551727 PMCID: PMC8456657 DOI: 10.1186/s12862-021-01900-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2021] [Accepted: 08/25/2021] [Indexed: 01/08/2023] Open
Abstract
Background Homo sapiens have experienced admixture many times in the last few thousand years. To examine how admixture affects local adaptation, we investigated genomes of modern Polynesians, who are shaped through admixture between Austronesian-speaking people from Southeast Asia (Asian-related ancestors) and indigenous people in Near Oceania (Papuan-related ancestors). Methods In this study local ancestry was estimated across the genome in Polynesians (23 Tongan subjects) to find the candidate regions of admixture-enabled selection contributed by Papuan-related ancestors. Results The mean proportion of Papuan-related ancestry across the Polynesian genome was estimated as 24.6% (SD = 8.63%), and two genomic regions, the extended major histocompatibility complex (xMHC) region on chromosome 6 and the ATP-binding cassette transporter sub-family C member 11 (ABCC11) gene on chromosome 16, showed proportions of Papuan-related ancestry more than 5 SD greater than the mean (> 67.8%). The coalescent simulation under the assumption of selective neutrality suggested that such signals of Papuan-related ancestry enrichment were caused by positive selection after admixture (false discovery rate = 0.045). The ABCC11 harbors a nonsynonymous SNP, rs17822931, which affects apocrine secretory cell function. The approximate Bayesian computation indicated that, in Polynesian ancestors, a strong positive selection (s = 0.0217) acted on the ancestral allele of rs17822931 derived from Papuan-related ancestors. Conclusions Our results suggest that admixture with Papuan-related ancestors contributed to the rapid local adaptation of Polynesian ancestors. Considering frequent admixture events in human evolution history, the acceleration of local adaptation through admixture should be a common event in humans. Supplementary Information The online version contains supplementary material available at 10.1186/s12862-021-01900-y.
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Affiliation(s)
- Mariko Isshiki
- Department of Biological Sciences, Graduate School of Science, The University of Tokyo, Tokyo, 113-0033, Japan
| | - Izumi Naka
- Department of Biological Sciences, Graduate School of Science, The University of Tokyo, Tokyo, 113-0033, Japan
| | - Ryosuke Kimura
- Department of Human Biology and Anatomy, Graduate School of Medicine, University of the Ryukyus, Nishihara, 903-0125, Japan
| | - Nao Nishida
- Genome Medical Science Project, Research Center for Hepatitis and Immunology, National Center for Global Health and Medicine, Chiba, 272-8516, Japan
| | - Takuro Furusawa
- Graduate School of Asian and African Area Studies, Kyoto University, Kyoto, 606-8501, Japan
| | - Kazumi Natsuhara
- Department of International Health and Nursing, Faculty of Nursing, Toho University, Tokyo, 143-0015, Japan
| | - Taro Yamauchi
- Faculty of Health Sciences, Hokkaido University, Sapporo, 060-0812, Japan
| | - Minato Nakazawa
- Graduate School of Health Sciences, Kobe University, Kobe, 654-0142, Japan
| | - Takafumi Ishida
- Department of Biological Sciences, Graduate School of Science, The University of Tokyo, Tokyo, 113-0033, Japan
| | - Tsukasa Inaoka
- Department of Human Ecology, Faculty of Agriculture, Saga University, Saga, 840-8502, Japan
| | - Yasuhiro Matsumura
- Faculty of Health and Nutrition, Bunkyo University, Chigasaki, 253-8550, Japan
| | | | - Jun Ohashi
- Department of Biological Sciences, Graduate School of Science, The University of Tokyo, Tokyo, 113-0033, Japan.
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27
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Ioannidis AG, Blanco-Portillo J, Sandoval K, Hagelberg E, Barberena-Jonas C, Hill AVS, Rodríguez-Rodríguez JE, Fox K, Robson K, Haoa-Cardinali S, Quinto-Cortés CD, Miquel-Poblete JF, Auckland K, Parks T, Sofro ASM, Ávila-Arcos MC, Sockell A, Homburger JR, Eng C, Huntsman S, Burchard EG, Gignoux CR, Verdugo RA, Moraga M, Bustamante CD, Mentzer AJ, Moreno-Estrada A. Paths and timings of the peopling of Polynesia inferred from genomic networks. Nature 2021; 597:522-526. [PMID: 34552258 PMCID: PMC9710236 DOI: 10.1038/s41586-021-03902-8] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2020] [Accepted: 08/12/2021] [Indexed: 02/08/2023]
Abstract
Polynesia was settled in a series of extraordinary voyages across an ocean spanning one third of the Earth1, but the sequences of islands settled remain unknown and their timings disputed. Currently, several centuries separate the dates suggested by different archaeological surveys2-4. Here, using genome-wide data from merely 430 modern individuals from 21 key Pacific island populations and novel ancestry-specific computational analyses, we unravel the detailed genetic history of this vast, dispersed island network. Our reconstruction of the branching Polynesian migration sequence reveals a serial founder expansion, characterized by directional loss of variants, that originated in Samoa and spread first through the Cook Islands (Rarotonga), then to the Society (Tōtaiete mā) Islands (11th century), the western Austral (Tuha'a Pae) Islands and Tuāmotu Archipelago (12th century), and finally to the widely separated, but genetically connected, megalithic statue-building cultures of the Marquesas (Te Henua 'Enana) Islands in the north, Raivavae in the south, and Easter Island (Rapa Nui), the easternmost of the Polynesian islands, settled in approximately AD 1200 via Mangareva.
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Affiliation(s)
- Alexander G Ioannidis
- Institute for Computational and Mathematical Engineering, Stanford University, Stanford, CA, USA.
- National Laboratory of Genomics for Biodiversity (LANGEBIO)-Advanced Genomics Unit (UGA), CINVESTAV, Irapuato, Guanajuato, Mexico.
| | - Javier Blanco-Portillo
- National Laboratory of Genomics for Biodiversity (LANGEBIO)-Advanced Genomics Unit (UGA), CINVESTAV, Irapuato, Guanajuato, Mexico
| | - Karla Sandoval
- National Laboratory of Genomics for Biodiversity (LANGEBIO)-Advanced Genomics Unit (UGA), CINVESTAV, Irapuato, Guanajuato, Mexico
| | | | - Carmina Barberena-Jonas
- National Laboratory of Genomics for Biodiversity (LANGEBIO)-Advanced Genomics Unit (UGA), CINVESTAV, Irapuato, Guanajuato, Mexico
| | - Adrian V S Hill
- Wellcome Centre for Human Genetics, University of Oxford, Roosevelt Drive, Oxford, UK
- The Jenner Institute, Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - Juan Esteban Rodríguez-Rodríguez
- National Laboratory of Genomics for Biodiversity (LANGEBIO)-Advanced Genomics Unit (UGA), CINVESTAV, Irapuato, Guanajuato, Mexico
| | - Keolu Fox
- Department of Anthropology, University of California San Diego, La Jolla, CA, USA
| | - Kathryn Robson
- MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK
| | | | - Consuelo D Quinto-Cortés
- National Laboratory of Genomics for Biodiversity (LANGEBIO)-Advanced Genomics Unit (UGA), CINVESTAV, Irapuato, Guanajuato, Mexico
| | | | - Kathryn Auckland
- Wellcome Centre for Human Genetics, University of Oxford, Roosevelt Drive, Oxford, UK
| | - Tom Parks
- Wellcome Centre for Human Genetics, University of Oxford, Roosevelt Drive, Oxford, UK
| | - Abdul Salam M Sofro
- Department of Biochemistry, Faculty of Medicine, Yayasan Rumah Sakit Islam (YARSI) University, Cempaka Putih, Jakarta, Indonesia
| | - María C Ávila-Arcos
- International Laboratory for Human Genome Research (LIIGH), UNAM Juriquilla, Queretaro, Mexico
| | - Alexandra Sockell
- Center for Computational, Evolutionary and Human Genomics (CEHG), Stanford University, Stanford, CA, USA
| | - Julian R Homburger
- Center for Computational, Evolutionary and Human Genomics (CEHG), Stanford University, Stanford, CA, USA
| | - Celeste Eng
- Program in Pharmaceutical Sciences and Pharmacogenomics, Department of Medicine, University of California San Francisco, San Francisco, CA, USA
| | - Scott Huntsman
- Program in Pharmaceutical Sciences and Pharmacogenomics, Department of Medicine, University of California San Francisco, San Francisco, CA, USA
| | - Esteban G Burchard
- Program in Pharmaceutical Sciences and Pharmacogenomics, Department of Medicine, University of California San Francisco, San Francisco, CA, USA
| | - Christopher R Gignoux
- Division of Biomedical Informatics and Personalized Medicine, University of Colorado, Denver, CO, USA
| | - Ricardo A Verdugo
- Human Genetics Program, Institute of Biomedical Sciences, Faculty of Medicine, University of Chile, Santiago, Chile
- Translational Oncology Department, Faculty of Medicine, University of Chile, Santiago, Chile
| | - Mauricio Moraga
- Human Genetics Program, Institute of Biomedical Sciences, Faculty of Medicine, University of Chile, Santiago, Chile
- Department of Anthropology, Faculty of Social Sciences, University of Chile, Santiago, Chile
| | - Carlos D Bustamante
- Center for Computational, Evolutionary and Human Genomics (CEHG), Stanford University, Stanford, CA, USA
- Department of Biomedical Data Science, Stanford University, Stanford, CA, USA
| | - Alexander J Mentzer
- Wellcome Centre for Human Genetics, University of Oxford, Roosevelt Drive, Oxford, UK
- Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, UK
| | - Andrés Moreno-Estrada
- National Laboratory of Genomics for Biodiversity (LANGEBIO)-Advanced Genomics Unit (UGA), CINVESTAV, Irapuato, Guanajuato, Mexico.
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28
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Willerslev E, Meltzer DJ. Peopling of the Americas as inferred from ancient genomics. Nature 2021; 594:356-364. [PMID: 34135521 DOI: 10.1038/s41586-021-03499-y] [Citation(s) in RCA: 28] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2020] [Accepted: 03/26/2021] [Indexed: 02/05/2023]
Abstract
In less than a decade, analyses of ancient genomes have transformed our understanding of the Indigenous peopling and population history of the Americas. These studies have shown that this history, which began in the late Pleistocene epoch and continued episodically into the Holocene epoch, was far more complex than previously thought. It is now evident that the initial dispersal involved the movement from northeast Asia of distinct and previously unknown populations, including some for whom there are no currently known descendants. The first peoples, once south of the continental ice sheets, spread widely, expanded rapidly and branched into multiple populations. Their descendants-over the next fifteen millennia-experienced varying degrees of isolation, admixture, continuity and replacement, and their genomes help to illuminate the relationships among major subgroups of Native American populations. Notably, all ancient individuals in the Americas, save for later-arriving Arctic peoples, are more closely related to contemporary Indigenous American individuals than to any other population elsewhere, which challenges the claim-which is based on anatomical evidence-that there was an early, non-Native American population in the Americas. Here we review the patterns revealed by ancient genomics that help to shed light on the past peoples who created the archaeological landscape, and together lead to deeper insights into the population and cultural history of the Americas.
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Affiliation(s)
- Eske Willerslev
- GeoGenetics Group, Department of Zoology, University of Cambridge, Cambridge, UK. .,Lundbeck Foundation GeoGenetics Centre, GLOBE Institute, University of Copenhagen, Copenhagen, Denmark. .,Wellcome Trust Sanger Institute, Cambridge, UK.
| | - David J Meltzer
- Lundbeck Foundation GeoGenetics Centre, GLOBE Institute, University of Copenhagen, Copenhagen, Denmark. .,Department of Anthropology, Southern Methodist University, Dallas, TX, USA.
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29
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Choin J, Mendoza-Revilla J, Arauna LR, Cuadros-Espinoza S, Cassar O, Larena M, Ko AMS, Harmant C, Laurent R, Verdu P, Laval G, Boland A, Olaso R, Deleuze JF, Valentin F, Ko YC, Jakobsson M, Gessain A, Excoffier L, Stoneking M, Patin E, Quintana-Murci L. Genomic insights into population history and biological adaptation in Oceania. Nature 2021; 592:583-589. [PMID: 33854233 DOI: 10.1038/s41586-021-03236-5] [Citation(s) in RCA: 56] [Impact Index Per Article: 18.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2020] [Accepted: 01/13/2021] [Indexed: 12/27/2022]
Abstract
The Pacific region is of major importance for addressing questions regarding human dispersals, interactions with archaic hominins and natural selection processes1. However, the demographic and adaptive history of Oceanian populations remains largely uncharacterized. Here we report high-coverage genomes of 317 individuals from 20 populations from the Pacific region. We find that the ancestors of Papuan-related ('Near Oceanian') groups underwent a strong bottleneck before the settlement of the region, and separated around 20,000-40,000 years ago. We infer that the East Asian ancestors of Pacific populations may have diverged from Taiwanese Indigenous peoples before the Neolithic expansion, which is thought to have started from Taiwan around 5,000 years ago2-4. Additionally, this dispersal was not followed by an immediate, single admixture event with Near Oceanian populations, but involved recurrent episodes of genetic interactions. Our analyses reveal marked differences in the proportion and nature of Denisovan heritage among Pacific groups, suggesting that independent interbreeding with highly structured archaic populations occurred. Furthermore, whereas introgression of Neanderthal genetic information facilitated the adaptation of modern humans related to multiple phenotypes (for example, metabolism, pigmentation and neuronal development), Denisovan introgression was primarily beneficial for immune-related functions. Finally, we report evidence of selective sweeps and polygenic adaptation associated with pathogen exposure and lipid metabolism in the Pacific region, increasing our understanding of the mechanisms of biological adaptation to island environments.
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Affiliation(s)
- Jeremy Choin
- Human Evolutionary Genetics Unit, Institut Pasteur, UMR 2000, CNRS, Paris, France.,Université Paris Diderot, Sorbonne Paris Cité, Paris, France
| | | | - Lara R Arauna
- Human Evolutionary Genetics Unit, Institut Pasteur, UMR 2000, CNRS, Paris, France
| | - Sebastian Cuadros-Espinoza
- Human Evolutionary Genetics Unit, Institut Pasteur, UMR 2000, CNRS, Paris, France.,Sorbonne Université, Collège doctoral, Paris, France
| | - Olivier Cassar
- Oncogenic Virus Epidemiology and Pathophysiology, Institut Pasteur, UMR 3569, CNRS, Paris, France
| | - Maximilian Larena
- Human Evolution, Department of Organismal Biology, Uppsala University, Uppsala, Sweden
| | - Albert Min-Shan Ko
- Key Laboratory of Vertebrate Evolution and Human Origins, Institute of Vertebrate Paleontology and Paleoanthropology, Chinese Academy of Sciences, Beijing, China
| | - Christine Harmant
- Human Evolutionary Genetics Unit, Institut Pasteur, UMR 2000, CNRS, Paris, France
| | - Romain Laurent
- Muséum National d'Histoire Naturelle, UMR7206, CNRS, Université de Paris, Paris, France
| | - Paul Verdu
- Muséum National d'Histoire Naturelle, UMR7206, CNRS, Université de Paris, Paris, France
| | - Guillaume Laval
- Human Evolutionary Genetics Unit, Institut Pasteur, UMR 2000, CNRS, Paris, France
| | - Anne Boland
- Centre National de Recherche en Génomique Humaine (CNRGH), Institut de Biologie François Jacob, CEA, Université Paris-Saclay, Evry, France
| | - Robert Olaso
- Centre National de Recherche en Génomique Humaine (CNRGH), Institut de Biologie François Jacob, CEA, Université Paris-Saclay, Evry, France
| | - Jean-François Deleuze
- Centre National de Recherche en Génomique Humaine (CNRGH), Institut de Biologie François Jacob, CEA, Université Paris-Saclay, Evry, France
| | - Frédérique Valentin
- Maison de l'Archéologie et de l'Ethnologie, UMR 7041, CNRS, Nanterre, France
| | - Ying-Chin Ko
- Environment-Omics-Disease Research Center, China Medical University and Hospital, Taichung, Taiwan
| | - Mattias Jakobsson
- Human Evolution, Department of Organismal Biology, Uppsala University, Uppsala, Sweden.,Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | - Antoine Gessain
- Oncogenic Virus Epidemiology and Pathophysiology, Institut Pasteur, UMR 3569, CNRS, Paris, France
| | - Laurent Excoffier
- Institute of Ecology and Evolution, University of Bern, Bern, Switzerland.,Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Mark Stoneking
- Department of Evolutionary Genetics, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
| | - Etienne Patin
- Human Evolutionary Genetics Unit, Institut Pasteur, UMR 2000, CNRS, Paris, France.
| | - Lluis Quintana-Murci
- Human Evolutionary Genetics Unit, Institut Pasteur, UMR 2000, CNRS, Paris, France. .,Collège de France, Paris, France.
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30
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Flores-Alvarado S, Orellana-Soto M, Moraga M. Ancestry and admixture of a southernmost Chilean population: The reflection of a migratory history. Am J Hum Biol 2021; 34:e23598. [PMID: 33763944 DOI: 10.1002/ajhb.23598] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2020] [Revised: 02/08/2021] [Accepted: 02/25/2021] [Indexed: 11/07/2022] Open
Abstract
OBJECTIVES Punta Arenas is a Chilean city situated on ancestral Aönikenk territory. The city was founded by 19th- and 20th-century colonists from Chile (Chiloé) and Europe (Croatia). This work uses uniparental and ancestry-informative markers (AIMs) to explore the effects of historic migratory and admixture patterns on the current genetic composition of Punta Arenas. METHODS We analyzed mitochondrial DNA (mtDNA), Y-chromosome single-nucleotide polymorphisms (SNPs), and 141 AIMs obtained from 129 DNA samples from male residents with regional ancestry. After characterizing uniparental lineages and ancestry proportions, multivariate analysis was used to explore relationships among the various types of data. RESULTS Punta Arenas has an admixed population with three main genetic components: European (56.5%), northern Native (11.3%), and south-central Native (28.6%). The Native component is preponderant in the mtDNA (83.76%), while the foreign component predominates in the Y-chromosome (92.25%). Non-Native mtDNA lineages are associated with European genetic ancestry, and Native mtDNA lineages originated mainly in the southern and southernmost regions of Chile. Most non-Native Y-chromosome SNPs originated in Spain, and secondly, in Croatia. CONCLUSIONS The population of Punta Arenas is mainly of Chilote origin with south-central Native and Spanish ancestral components, as well as some Croatian components. The persistence of local Native lineages is notable, suggesting continuity with the ancestral populations of the region such as the Kawésqar, Aönikenk, Yámana, or Selknam peoples. This study contributes to our knowledge of local history and its links to national and global developments in genetic ancestry.
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Affiliation(s)
- Sandra Flores-Alvarado
- Programa de Bioestadística, Instituto de Salud Poblacional, Facultad de Medicina, Universidad de Chile, Santiago, Chile
- Programa de Genética Humana, ICBM, Facultad de Medicina, Universidad de Chile, Santiago, Chile
- Departamento de Antropología, Facultad de Ciencias Sociales, Universidad de Chile, Santiago, Chile
| | - Michael Orellana-Soto
- Programa de Genética Humana, ICBM, Facultad de Medicina, Universidad de Chile, Santiago, Chile
| | - Mauricio Moraga
- Programa de Genética Humana, ICBM, Facultad de Medicina, Universidad de Chile, Santiago, Chile
- Departamento de Antropología, Facultad de Ciencias Sociales, Universidad de Chile, Santiago, Chile
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31
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Larranaga N, van Zonneveld M, Hormaza JI. Holocene land and sea-trade routes explain complex patterns of pre-Columbian crop dispersion. THE NEW PHYTOLOGIST 2021; 229:1768-1781. [PMID: 33089900 DOI: 10.1111/nph.16936] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/28/2020] [Accepted: 09/06/2020] [Indexed: 05/17/2023]
Abstract
Pre-Columbian crop movement remains poorly understood, hampering a good interpretation of the domestication and diversification of Neotropical crops. To provide new insights into pre-Columbian crop movement, we applied spatial genetics to identify and compare dispersal routes of three American crops between Mesoamerica and the Andes, two important centres of pre-Columbian crop and cultural diversity. Our analysis included georeferenced simple-sequence repeats (SSR) marker datasets of 1852 genotypes of cherimoya (Annona cherimola Mill.), a perennial fruit crop that became underutilised in the Americas after the European conquest, 770 genotypes of maize (Zea mays L.) and 476 genotypes of common bean (Phaseolus vulgaris L.). Our findings show that humans brought cherimoya from Mesoamerica to present Peru through long-distance sea-trade routes across the Pacific Ocean at least 4700 yr bp, after more ancient dispersion of maize and other crops through the Mesoamerican isthmus over land and near-coastal waters. To our knowledge, this is the first evidence of pre-Columbian crop movement between Mesoamerica and the Andes across the Pacific Ocean providing new insights into pre-Columbian crop exchange in the Americas. We propose that cherimoya represents a wider group of perennial fruit crops dispersed by humans via sea-trade routes between Mesoamerica and the Andes across the Pacific Ocean.
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Affiliation(s)
- Nerea Larranaga
- Instituto de Hortofruticultura Subtropical y Mediterranea La Mayora (IHSM La Mayora - CSIC - UMA), Algarrobo, 29750, Spain
- IMAREFI, University of Guadalajara, Jalisco, 45110, México
| | - Maarten van Zonneveld
- Genetic Resources and Seed Unit, World Vegetable Center, Shanhua, 74151, Taiwan
- Bioversity International, Turrialba, Costa Rica, 7170, Spain
| | - Jose I Hormaza
- Instituto de Hortofruticultura Subtropical y Mediterranea La Mayora (IHSM La Mayora - CSIC - UMA), Algarrobo, 29750, Spain
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Roca-Rada X, Souilmi Y, Teixeira JC, Llamas B. Ancient DNA Studies in Pre-Columbian Mesoamerica. Genes (Basel) 2020; 11:E1346. [PMID: 33202852 PMCID: PMC7696771 DOI: 10.3390/genes11111346] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2020] [Revised: 11/04/2020] [Accepted: 11/10/2020] [Indexed: 02/07/2023] Open
Abstract
Mesoamerica is a historically and culturally defined geographic area comprising current central and south Mexico, Belize, Guatemala, El Salvador, and border regions of Honduras, western Nicaragua, and northwestern Costa Rica. The permanent settling of Mesoamerica was accompanied by the development of agriculture and pottery manufacturing (2500 BCE-150 CE), which led to the rise of several cultures connected by commerce and farming. Hence, Mesoamericans probably carried an invaluable genetic diversity partly lost during the Spanish conquest and the subsequent colonial period. Mesoamerican ancient DNA (aDNA) research has mainly focused on the study of mitochondrial DNA in the Basin of Mexico and the Yucatán Peninsula and its nearby territories, particularly during the Postclassic period (900-1519 CE). Despite limitations associated with the poor preservation of samples in tropical areas, recent methodological improvements pave the way for a deeper analysis of Mesoamerica. Here, we review how aDNA research has helped discern population dynamics patterns in the pre-Columbian Mesoamerican context, how it supports archaeological, linguistic, and anthropological conclusions, and finally, how it offers new working hypotheses.
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Affiliation(s)
- Xavier Roca-Rada
- Australian Centre for Ancient DNA, School of Biological Sciences, University of Adelaide, Adelaide, SA 5005, Australia; (Y.S.); (J.C.T.)
| | - Yassine Souilmi
- Australian Centre for Ancient DNA, School of Biological Sciences, University of Adelaide, Adelaide, SA 5005, Australia; (Y.S.); (J.C.T.)
- National Centre for Indigenous Genomics, Australian National University, Canberra, ACT 0200, Australia
- Environment Institute, University of Adelaide, Adelaide, SA 5005, Australia
| | - João C. Teixeira
- Australian Centre for Ancient DNA, School of Biological Sciences, University of Adelaide, Adelaide, SA 5005, Australia; (Y.S.); (J.C.T.)
- Centre of Excellence for Australian Biodiversity and Heritage (CABAH), School of Biological Sciences, University of Adelaide, Adelaide, SA 5005, Australia
| | - Bastien Llamas
- Australian Centre for Ancient DNA, School of Biological Sciences, University of Adelaide, Adelaide, SA 5005, Australia; (Y.S.); (J.C.T.)
- National Centre for Indigenous Genomics, Australian National University, Canberra, ACT 0200, Australia
- Environment Institute, University of Adelaide, Adelaide, SA 5005, Australia
- Centre of Excellence for Australian Biodiversity and Heritage (CABAH), School of Biological Sciences, University of Adelaide, Adelaide, SA 5005, Australia
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33
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An odyssey to Oceania. Nat Rev Genet 2020; 21:509. [DOI: 10.1038/s41576-020-0271-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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34
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Callaway E. Ancient voyage carried Native Americans' DNA to remote Pacific islands. Nature 2020:10.1038/d41586-020-02055-4. [PMID: 32641794 DOI: 10.1038/d41586-020-02055-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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