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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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Daron J, Bouafou L, Tennessen JA, Rahola N, Makanga B, Akone-Ella O, Ngangue MF, Longo Pendy NM, Paupy C, Neafsey DE, Fontaine MC, Ayala D. Genomic Signatures of Microgeographic Adaptation in Anopheles coluzzii Along an Anthropogenic Gradient in Gabon. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.05.16.594472. [PMID: 38798379 PMCID: PMC11118577 DOI: 10.1101/2024.05.16.594472] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/29/2024]
Abstract
Species distributed across heterogeneous environments often evolve locally adapted populations, but understanding how these persist in the presence of homogenizing gene flow remains puzzling. In Gabon, Anopheles coluzzii, a major African malaria mosquito is found along an ecological gradient, including a sylvatic population, away of any human presence. This study identifies into the genomic signatures of local adaptation in populations from distinct environments including the urban area of Libreville, and two proximate sites 10km apart in the La Lopé National Park (LLP), a village and its sylvatic neighborhood. Whole genome re-sequencing of 96 mosquitoes unveiled ∼ 5.7millions high-quality single nucleotide polymorphisms. Coalescent-based demographic analyses suggest an ∼ 8,000-year-old divergence between Libreville and La Lopé populations, followed by a secondary contact ( ∼ 4,000 ybp) resulting in asymmetric effective gene flow. The urban population displayed reduced effective size, evidence of inbreeding, and strong selection pressures for adaptation to urban settings, as suggested by the hard selective sweeps associated with genes involved in detoxification and insecticide resistance. In contrast, the two geographically proximate LLP populations showed larger effective sizes, and distinctive genomic differences in selective signals, notably soft-selective sweeps on the standing genetic variation. Although neutral loci and chromosomal inversions failed to discriminate between LLP populations, our findings support that microgeographic adaptation can swiftly emerge through selection on standing genetic variation despite high gene flow. This study contributes to the growing understanding of evolution of populations in heterogeneous environments amid ongoing gene flow and how major malaria mosquitoes adapt to human. Significance Anopheles coluzzii , a major African malaria vector, thrives from humid rainforests to dry savannahs and coastal areas. This ecological success is linked to its close association with domestic settings, with human playing significant roles in driving the recent urban evolution of this mosquito. Our research explores the assumption that these mosquitoes are strictly dependent on human habitats, by conducting whole-genome sequencing on An. coluzzii specimens from urban, rural, and sylvatic sites in Gabon. We found that urban mosquitoes show de novo genetic signatures of human-driven vector control, while rural and sylvatic mosquitoes exhibit distinctive genetic evidence of local adaptations derived from standing genetic variation. Understanding adaptation mechanisms of this mosquito is therefore crucial to predict evolution of vector control strategies.
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Nait Saada J, Tsangalidou Z, Stricker M, Palamara PF. Inference of Coalescence Times and Variant Ages Using Convolutional Neural Networks. Mol Biol Evol 2023; 40:msad211. [PMID: 37738175 PMCID: PMC10581698 DOI: 10.1093/molbev/msad211] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2023] [Revised: 09/11/2023] [Accepted: 09/18/2023] [Indexed: 09/24/2023] Open
Abstract
Accurate inference of the time to the most recent common ancestor (TMRCA) between pairs of individuals and of the age of genomic variants is key in several population genetic analyses. We developed a likelihood-free approach, called CoalNN, which uses a convolutional neural network to predict pairwise TMRCAs and allele ages from sequencing or SNP array data. CoalNN is trained through simulation and can be adapted to varying parameters, such as demographic history, using transfer learning. Across several simulated scenarios, CoalNN matched or outperformed the accuracy of model-based approaches for pairwise TMRCA and allele age prediction. We applied CoalNN to settings for which model-based approaches are under-developed and performed analyses to gain insights into the set of features it uses to perform TMRCA prediction. We next used CoalNN to analyze 2,504 samples from 26 populations in the 1,000 Genome Project data set, inferring the age of ∼80 million variants. We observed substantial variation across populations and for variants predicted to be pathogenic, reflecting heterogeneous demographic histories and the action of negative selection. We used CoalNN's predicted allele ages to construct genome-wide annotations capturing the signature of past negative selection. We performed LD-score regression analysis of heritability using summary association statistics from 63 independent complex traits and diseases (average N=314k), observing increased annotation-specific effects on heritability compared to a previous allele age annotation. These results highlight the effectiveness of using likelihood-free, simulation-trained models to infer properties of gene genealogies in large genomic data sets.
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Affiliation(s)
| | | | | | - Pier Francesco Palamara
- Department of Statistics, University of Oxford, Oxford, UK
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK
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Is the World Health Organization’s multicentre child growth standard an appropriate growth reference for assessing optimal growth of South African mixed-ancestry children? SOUTH AFRICAN JOURNAL OF CHILD HEALTH 2022. [DOI: 10.7196/sajch.2022.v16i2.1805] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022] Open
Abstract
In South Africa (SA), it has been estimated that one-third of boys and 25% of girls under the age of 5 years are stunted, according to the World Health Organization (WHO) Multicentre Growth Reference Study. During the past decade, research in developed and developing countries has shown that the international growth standard overestimates stunting and/or wasting when compared with population-specific growth references. Population-specific growth references typically incorporate genetic and environmental factors and can therefore better inform public health by identifying children who may be at risk for malnutrition, or who may be ill. Using the universal growth standard in SA may not be accurately assessing growth. In this article, environmental and genetic factors, and their influence on growth, are reviewed. These points are illustrated through a brief history of the peopling of SA, with an understanding of the socioeconomic and political climate – past and present. We discuss the uniqueness of certain population groups in SA, with contributions regarding some of the shortest peoples in the world and a history of sociopolitical inequities, which may mean that children from certain population groups who are perfectly healthy would underperform using the universal growth standard. Therefore, we suggest that a local population-specific growth reference would serve to better inform public health policies, and address childhood health equity and physical developmental pathways to adult health risk status.
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Tournebize R, Chu G, Moorjani P. Reconstructing the history of founder events using genome-wide patterns of allele sharing across individuals. PLoS Genet 2022; 18:e1010243. [PMID: 35737729 PMCID: PMC9223333 DOI: 10.1371/journal.pgen.1010243] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2022] [Accepted: 05/08/2022] [Indexed: 11/30/2022] Open
Abstract
Founder events play a critical role in shaping genetic diversity, fitness and disease risk in a population. Yet our understanding of the prevalence and distribution of founder events in humans and other species remains incomplete, as most existing methods require large sample sizes or phased genomes. Thus, we developed ASCEND that measures the correlation in allele sharing between pairs of individuals across the genome to infer the age and strength of founder events. We show that ASCEND can reliably estimate the parameters of founder events under a range of demographic scenarios. We then apply ASCEND to two species with contrasting evolutionary histories: ~460 worldwide human populations and ~40 modern dog breeds. In humans, we find that over half of the analyzed populations have evidence for recent founder events, associated with geographic isolation, modes of sustenance, or cultural practices such as endogamy. Notably, island populations have lower population sizes than continental groups and most hunter-gatherer, nomadic and indigenous groups have evidence of recent founder events. Many present-day groups––including Native Americans, Oceanians and South Asians––have experienced more extreme founder events than Ashkenazi Jews who have high rates of recessive diseases due their known history of founder events. Using ancient genomes, we show that the strength of founder events differs markedly across geographic regions and time––with three major founder events related to the peopling of Americas and a trend in decreasing strength of founder events in Europe following the Neolithic transition and steppe migrations. In dogs, we estimate extreme founder events in most breeds that occurred in the last 25 generations, concordant with the establishment of many dog breeds during the Victorian times. Our analysis highlights a widespread history of founder events in humans and dogs and elucidates some of the demographic and cultural practices related to these events. A founder event occurs when small numbers of ancestral individuals give rise to a large fraction of the population. Founder events reduce genetic variation and increase the risk of recessive diseases. Despite their importance in evolutionary and disease studies, we still only have a limited comprehension of their prevalence and properties in humans and other species, as most existing methods require large sample sizes or phased genomes. Here, we present a flexible method, ASCEND, to infer the timing and the strength of founder events that is suitable for sparse datasets with few samples or limited coverage. ASCEND provides reliable estimates across a wide range of demographic scenarios. By applying it to data from two species (humans and dogs), we document a widespread history of recent founder events in both species and provide insights about the demographic processes related to these events. Our analysis helps to identify groups with strong founder events that should be prioritized for future studies as they offer a unique opportunity for biological discovery and reducing disease burden through mapping of recessive disease-causing genes and pathways, as previously shown in studies of Ashkenazi Jews and Finns.
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Affiliation(s)
- Rémi Tournebize
- Department of Molecular and Cell Biology, University of California, Berkeley, California, United States of America
- Center for Computational Biology, University of California, Berkeley, California, United States of America
- * E-mail: (RT); (PM)
| | - Gillian Chu
- Department of Electrical Engineering and Computer Science, University of California, Berkeley, California, United States of America
| | - Priya Moorjani
- Department of Molecular and Cell Biology, University of California, Berkeley, California, United States of America
- Center for Computational Biology, University of California, Berkeley, California, United States of America
- * E-mail: (RT); (PM)
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6
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Human evolution: The unsealed fates of foragers and farmers. Curr Biol 2022; 32:R362-R365. [DOI: 10.1016/j.cub.2022.03.015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
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7
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Amanzougaghene N, Drali R, Shako JC, Davoust B, Fenollar F, Raoult D, Mediannikov O. High Genetic Diversity and Rickettsia felis in Pediculus humanus Lice Infesting Mbuti (pygmy people), -Democratic Republic of Congo. Front Cell Infect Microbiol 2022; 12:834388. [PMID: 35310843 PMCID: PMC8924665 DOI: 10.3389/fcimb.2022.834388] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2021] [Accepted: 02/08/2022] [Indexed: 11/14/2022] Open
Abstract
Pediculus humanus is an obligate bloodsucking parasite of humans that has two ecotypes, the head louse and the body louse, which share an intimate history of coevolution with their human host. In the present work, we obtained and analysed head and body lice collected from Mbuti pygmies living in the Orientale province of the Democratic Republic of the Congo. Cytochrome b DNA analysis was performed in order to type the six known lice clades (A, D, B, F, C and E). The results revealed the presence of two mitochondrial clades. Clade D was the most frequent (61.7% of 47), followed by clade A (38.3% of 47). Sixteen haplotypes were found in 47 samples, of which thirteen were novel haplotypes, indicating an unusually high genetic diversity that closely mirrors the diversity of their hosts. Moreover, we report for the first time the presence of the DNA of R. felis in three (6.4% of 47) head and body lice belonging to both clades A and D. Additional studies are needed to clarify whether the Pediculus lice can indeed transmit this emerging zoonotic bacterium to their human hosts.
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Affiliation(s)
- Nadia Amanzougaghene
- Aix Marseille Univ Institut de Recherche pour le Développement (IRD), Assistance Publique - Hôpitaux de Marseille (APHM), Microbes, Evolution (MEPHI), Phylogénie et Infection, Marseille, France
- Institut Hospitalo-Universitaire (IHU)-Méditerranée Infection, Marseille, France
| | - Rezak Drali
- Aix Marseille Univ Institut de Recherche pour le Développement (IRD), Assistance Publique - Hôpitaux de Marseille (APHM), Microbes, Evolution (MEPHI), Phylogénie et Infection, Marseille, France
- Institut Hospitalo-Universitaire (IHU)-Méditerranée Infection, Marseille, France
- Plateforme Génomique - Bioinformatique, Institut Pasteur d’Algérie, Rue du Petit Staouéli, Algiers, Algeria
| | | | - Bernard Davoust
- Aix Marseille Univ Institut de Recherche pour le Développement (IRD), Assistance Publique - Hôpitaux de Marseille (APHM), Microbes, Evolution (MEPHI), Phylogénie et Infection, Marseille, France
- Institut Hospitalo-Universitaire (IHU)-Méditerranée Infection, Marseille, France
| | - Florence Fenollar
- Aix Marseille Univ Institut de Recherche pour le Développement (IRD), Assistance Publique - Hôpitaux de Marseille (APHM), Microbes, Evolution (MEPHI), Phylogénie et Infection, Marseille, France
- Aix Marseille Univ, Institut de Recherche pour le Développement (IRD), Assistance Publique - Hôpitaux de Marseille (APHM), Vecteurs – Infections Tropicales et Méditeranéennes (VITROME), Marseille, France
| | - Didier Raoult
- Aix Marseille Univ Institut de Recherche pour le Développement (IRD), Assistance Publique - Hôpitaux de Marseille (APHM), Microbes, Evolution (MEPHI), Phylogénie et Infection, Marseille, France
- Institut Hospitalo-Universitaire (IHU)-Méditerranée Infection, Marseille, France
| | - Oleg Mediannikov
- Aix Marseille Univ Institut de Recherche pour le Développement (IRD), Assistance Publique - Hôpitaux de Marseille (APHM), Microbes, Evolution (MEPHI), Phylogénie et Infection, Marseille, France
- Institut Hospitalo-Universitaire (IHU)-Méditerranée Infection, Marseille, France
- *Correspondence: Oleg Mediannikov,
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8
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Šimková PG, Weber GW, Ramirez Rozzi FV, Slimani L, Sadoine J, Fornai C. Morphological variation of the deciduous second molars in the Baka Pygmies. Sci Rep 2021; 11:16480. [PMID: 34389746 PMCID: PMC8363745 DOI: 10.1038/s41598-021-95524-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2021] [Accepted: 07/16/2021] [Indexed: 11/09/2022] Open
Abstract
The Baka Pygmies are known for their short stature resulting from a reduced growth rate during infancy. They are peculiar also for their teeth erupt earlier than in any other African population, and their posterior dentition is larger than in non-Pygmy populations. However, the Baka's dental morphology, like several other aspects of their biology, is still understudied. Here, we explore the variation of the Baka's deciduous upper and lower second molars (dm2s) in comparison to a geographically heterogeneous human sample by means of 3D geometric morphometrics and analysis of dental traits. Our results show that the different populations largely overlap based on the shape of their dm2s, especially the lower ones. Their distal region and the height of the dentinal crown differ the most, with the Baka showing the most extreme range of variation. Upper and lower dm2s covary to a great extent (RV = 0.82). The Baka's and South Americans' dm2s were confirmed among the largest in our sample. Despite the Baka's unique growth pattern, long-lasting isolation, and extreme dental variation, it is not possible to distinguish them from other populations based on their dm2s' morphology only.
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Affiliation(s)
- Petra G Šimková
- Department of Evolutionary Anthropology, University of Vienna, Vienna, Austria.
| | - Gerhard W Weber
- Department of Evolutionary Anthropology, University of Vienna, Vienna, Austria
- Core Facility for Micro-Computed Tomography, University of Vienna, Vienna, Austria
| | - Fernando V Ramirez Rozzi
- UMR7206 Ecoanthropologie, MNHN, CNRS, UP, Musée de L'Homme, Paris, France
- EA 2496 Pathologies, Imagerie et biothérapies oro-faciales, Université Paris Descartes, Montrouge, France
| | - Lotfi Slimani
- UR2496 - Plateforme Imageries du Vivant, Université de Paris, Montrouge, France
| | - Jérémy Sadoine
- UR2496 - Plateforme Imageries du Vivant, Université de Paris, Montrouge, France
| | - Cinzia Fornai
- Department of Evolutionary Anthropology, University of Vienna, Vienna, Austria.
- Institute of Evolutionary Medicine, University of Zurich, Zurich, Switzerland.
- Vienna School of Interdisciplinary Dentistry, Klosterneuburg, Austria.
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9
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Hollfelder N, Breton G, Sjödin P, Jakobsson M. The deep population history in Africa. Hum Mol Genet 2021; 30:R2-R10. [PMID: 33438014 PMCID: PMC8117439 DOI: 10.1093/hmg/ddab005] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2020] [Revised: 12/22/2020] [Accepted: 01/05/2021] [Indexed: 12/28/2022] Open
Abstract
Africa is the continent with the greatest genetic diversity among humans and the level of diversity is further enhanced by incorporating non-majority groups, which are often understudied. Many of today's minority populations historically practiced foraging lifestyles, which were the only subsistence strategies prior to the rise of agriculture and pastoralism, but only a few groups practicing these strategies remain today. Genomic investigations of Holocene human remains excavated across the African continent show that the genetic landscape was vastly different compared to today's genetic landscape and that many groups that today are population isolate inhabited larger regions in the past. It is becoming clear that there are periods of isolation among groups and geographic areas, but also genetic contact over large distances throughout human history in Africa. Genomic information from minority populations and from prehistoric remains provide an invaluable source of information on the human past, in particular deep human population history, as Holocene large-scale population movements obscure past patterns of population structure. Here we revisit questions on the nature and time of the radiation of early humans in Africa, the extent of gene-flow among human populations as well as introgression from archaic and extinct lineages on the continent.
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Affiliation(s)
- Nina Hollfelder
- Human Evolution, Department of Organismal Biology, Uppsala University, Norbyvägen 18C, 75236 Uppsala, Sweden
| | - Gwenna Breton
- Human Evolution, Department of Organismal Biology, Uppsala University, Norbyvägen 18C, 75236 Uppsala, Sweden
| | - Per Sjödin
- Human Evolution, Department of Organismal Biology, Uppsala University, Norbyvägen 18C, 75236 Uppsala, Sweden
| | - Mattias Jakobsson
- Human Evolution, Department of Organismal Biology, Uppsala University, Norbyvägen 18C, 75236 Uppsala, Sweden
- Palaeo-Research Institute, University of Johannesburg, Physical, Cnr Kingsway & University Roads, Auckland Park, Johannesburg 2092, South Africa
- SciLifeLab, Stockholm and Uppsala, Entrance C11, BMC, Husargatan 3, 752 37 Uppsala, Sweden
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10
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Pineau JC, Ramirez Rozzi FV. The same growth pattern from puberty suggests that modern human diversity results from changes during pre-pubertal development. Sci Rep 2021; 11:4817. [PMID: 33649394 PMCID: PMC7921106 DOI: 10.1038/s41598-021-84327-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2020] [Accepted: 12/21/2020] [Indexed: 11/10/2022] Open
Abstract
Patterns of human growth established for one population have rarely been tested in other populations. In a previous study, three growth curves from puberty were modelled for each sex in a longitudinal study of a Caucasian population based on stature, age at peak of growth and biological maturation. Each curve represents the canalisation of growth associated with the type of puberty. The high precision (± 3 cm) of individual adult stature predictions shows that growth kinetics are already set up at puberty and are canalised depending on biological maturity. Our aim is to assess whether this model can be extrapolated to other populations to test whether growth canalisation is a population-dependent phenomenon or if the model reflects a canalisation pattern specific to our species. The modelled curves predicted adult stature with the same high degree of precision in basketball players and the Baka pygmies. Therefore, (1) the relationship between growth kinetics and age at maturity is similar in all populations and (2) growth according to pubertal stages follows the same canalisation patterns in the populations despite the wide differences in their average adult statures. It suggests that morphological diversity in modern humans results from processes taking place in early development.
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Affiliation(s)
| | - Fernando V Ramirez Rozzi
- UMR 7206 Ecoanthropology, MNHN, CNRS, UP, Musée de l'Homme, 17 place du Trocadéro, 75016, Paris, France. .,EA 2496, UP, Faculté de Chirurgie Dentaire, 1 rue Maurice Arnoux, 92120, Montrouge, France.
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11
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Bergström A, Stringer C, Hajdinjak M, Scerri EML, Skoglund P. Origins of modern human ancestry. Nature 2021; 590:229-237. [PMID: 33568824 DOI: 10.1038/s41586-021-03244-5] [Citation(s) in RCA: 72] [Impact Index Per Article: 24.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2020] [Accepted: 12/14/2020] [Indexed: 01/30/2023]
Abstract
New finds in the palaeoanthropological and genomic records have changed our view of the origins of modern human ancestry. Here we review our current understanding of how the ancestry of modern humans around the globe can be traced into the deep past, and which ancestors it passes through during our journey back in time. We identify three key phases that are surrounded by major questions, and which will be at the frontiers of future research. The most recent phase comprises the worldwide expansion of modern humans between 40 and 60 thousand years ago (ka) and their last known contacts with archaic groups such as Neanderthals and Denisovans. The second phase is associated with a broadly construed African origin of modern human diversity between 60 and 300 ka. The oldest phase comprises the complex separation of modern human ancestors from archaic human groups from 0.3 to 1 million years ago. We argue that no specific point in time can currently be identified at which modern human ancestry was confined to a limited birthplace, and that patterns of the first appearance of anatomical or behavioural traits that are used to define Homo sapiens are consistent with a range of evolutionary histories.
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Affiliation(s)
- Anders Bergström
- Ancient Genomics Laboratory, Francis Crick Institute, London, UK
| | - Chris Stringer
- Department of Earth Sciences, Natural History Museum, London, UK.
| | - Mateja Hajdinjak
- Ancient Genomics Laboratory, Francis Crick Institute, London, UK
| | - Eleanor M L Scerri
- Pan-African Evolution Research Group, Max Planck Institute for Science of Human History, Jena, Germany.,Department of Classics and Archaeology, University of Malta, Msida, Malta.,Institute of Prehistoric Archaeology, University of Cologne, Cologne, Germany
| | - Pontus Skoglund
- Ancient Genomics Laboratory, Francis Crick Institute, London, UK.
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12
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Lucas-Sánchez M, Serradell JM, Comas D. Population history of North Africa based on modern and ancient genomes. Hum Mol Genet 2020; 30:R17-R23. [PMID: 33284971 DOI: 10.1093/hmg/ddaa261] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2020] [Revised: 11/30/2020] [Accepted: 12/02/2020] [Indexed: 01/09/2023] Open
Abstract
Compared with the rest of the African continent, North Africa has provided limited genomic data. Nonetheless, the genetic data available show a complex demographic scenario characterized by extensive admixture and drift. Despite the continuous gene flow from the Middle East, Europe and sub-Saharan Africa, an autochthonous genetic component that dates back to pre-Holocene times is still present in North African groups. The comparison of ancient and modern genomes has evidenced a genetic continuity in the region since Epipaleolithic times. Later population movements, especially the gene flow from the Middle East associated with the Neolithic, have diluted the genetic autochthonous component, creating an east to west gradient. Recent historical movements, such as the Arabization, have also contributed to the genetic landscape observed currently in North Africa and have culturally transformed the region. Genome analyses have not shown evidence of a clear correlation between cultural and genetic diversity in North Africa, as there is no genetic pattern of differentiation between Tamazight (i.e. Berber) and Arab speakers as a whole. Besides the gene flow received from neighboring areas, the analysis of North African genomes has shown that the region has also acted as a source of gene flow since ancient times. As a result of the genetic uniqueness of North African groups and the lack of available data, there is an urgent need for the study of genetic variation in the region and its implications in health and disease.
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Affiliation(s)
- Marcel Lucas-Sánchez
- Departament de Ciències Experimentals i de la Salut, Institut de Biologia Evolutiva (CSIC-UPF), Universitat Pompeu Fabra, 08003 Barcelona, Spain
| | - Jose M Serradell
- Departament de Ciències Experimentals i de la Salut, Institut de Biologia Evolutiva (CSIC-UPF), Universitat Pompeu Fabra, 08003 Barcelona, Spain
| | - David Comas
- Departament de Ciències Experimentals i de la Salut, Institut de Biologia Evolutiva (CSIC-UPF), Universitat Pompeu Fabra, 08003 Barcelona, Spain
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13
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Bleasdale M, Wotzka HP, Eichhorn B, Mercader J, Styring A, Zech J, Soto M, Inwood J, Clarke S, Marzo S, Fiedler B, Linseele V, Boivin N, Roberts P. Isotopic and microbotanical insights into Iron Age agricultural reliance in the Central African rainforest. Commun Biol 2020; 3:619. [PMID: 33110164 PMCID: PMC7591565 DOI: 10.1038/s42003-020-01324-2] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2020] [Accepted: 09/23/2020] [Indexed: 11/21/2022] Open
Abstract
The emergence of agriculture in Central Africa has previously been associated with the migration of Bantu-speaking populations during an anthropogenic or climate-driven ‘opening’ of the rainforest. However, such models are based on assumptions of environmental requirements of key crops (e.g. Pennisetum glaucum) and direct insights into human dietary reliance remain absent. Here, we utilise stable isotope analysis (δ13C, δ15N, δ18O) of human and animal remains and charred food remains, as well as plant microparticles from dental calculus, to assess the importance of incoming crops in the Congo Basin. Our data, spanning the early Iron Age to recent history, reveals variation in the adoption of cereals, with a persistent focus on forest and freshwater resources in some areas. These data provide new dietary evidence and document the longevity of mosaic subsistence strategies in the region. Bleasdale et al. examine the introduction of agricultural crops in the Congo Basin with stable isotope analysis of human and animal remains, charred food remains, and plant microparticles from dental calculus. Their findings reveal variation in the adoption of cereals from the early Iron Age, and provide long-term insights into changing human reliance on different resources.
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Affiliation(s)
- Madeleine Bleasdale
- Department of Archaeology, Max Planck Institute for the Science of Human History, Kahlaische Straße 10, 07745, Jena, Germany. .,Department of Archaeology, University of York, King's Manor, Exhibition Square, York, YO1 7EP, UK.
| | - Hans-Peter Wotzka
- Institute of Prehistory, University of Cologne, Weyertal 125, 50931, Cologne, Germany
| | - Barbara Eichhorn
- Institute of Archaeological Sciences, Goethe University, Norbert-Wollheim-Platz 1, D-60629, Frankfurt am Main, Germany
| | - Julio Mercader
- Department of Archaeology, Max Planck Institute for the Science of Human History, Kahlaische Straße 10, 07745, Jena, Germany.,Department of Archaeology and Anthropology, University of Calgary, 2500 University Drive, N.W. Calgary, Alberta, T2N 1N4, Canada
| | - Amy Styring
- Institute of Archaeological Sciences, Goethe University, Norbert-Wollheim-Platz 1, D-60629, Frankfurt am Main, Germany.,School of Archaeology, University of Oxford, 1 South Parks Road, Oxford, OX1 3TG, UK
| | - Jana Zech
- Department of Archaeology, Max Planck Institute for the Science of Human History, Kahlaische Straße 10, 07745, Jena, Germany
| | - María Soto
- Department of Archaeology and Anthropology, University of Calgary, 2500 University Drive, N.W. Calgary, Alberta, T2N 1N4, Canada
| | - Jamie Inwood
- Department of Archaeology and Anthropology, University of Calgary, 2500 University Drive, N.W. Calgary, Alberta, T2N 1N4, Canada
| | - Siobhán Clarke
- Department of Archaeology and Anthropology, University of Calgary, 2500 University Drive, N.W. Calgary, Alberta, T2N 1N4, Canada
| | - Sara Marzo
- Department of Archaeology, Max Planck Institute for the Science of Human History, Kahlaische Straße 10, 07745, Jena, Germany
| | - Bianca Fiedler
- Department of Archaeology, Max Planck Institute for the Science of Human History, Kahlaische Straße 10, 07745, Jena, Germany
| | - Veerle Linseele
- Department of Earth and Environmental Sciences, Center for Archaeological Sciences, University of Leuven, Celestijnenlaan 200E, 3001, Leuven, Belgium
| | - Nicole Boivin
- Department of Archaeology, Max Planck Institute for the Science of Human History, Kahlaische Straße 10, 07745, Jena, Germany.,Department of Archaeology and Anthropology, University of Calgary, 2500 University Drive, N.W. Calgary, Alberta, T2N 1N4, Canada.,Department of Archaeology, University of Queensland, St Lucia QLD, 4072, Brisbane, Australia.,Department of Anthropology, National Museum of Natural History, Smithsonian Institution, 10th Street & Constitution Avenue, Washington, DC, 20560, USA
| | - Patrick Roberts
- Department of Archaeology, Max Planck Institute for the Science of Human History, Kahlaische Straße 10, 07745, Jena, Germany. .,Department of Archaeology, University of Queensland, St Lucia QLD, 4072, Brisbane, Australia.
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14
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Rubel MA, Abbas A, Taylor LJ, Connell A, Tanes C, Bittinger K, Ndze VN, Fonsah JY, Ngwang E, Essiane A, Fokunang C, Njamnshi AK, Bushman FD, Tishkoff SA. Lifestyle and the presence of helminths is associated with gut microbiome composition in Cameroonians. Genome Biol 2020; 21:122. [PMID: 32450885 PMCID: PMC7249393 DOI: 10.1186/s13059-020-02020-4] [Citation(s) in RCA: 38] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2019] [Accepted: 04/15/2020] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND African populations provide a unique opportunity to interrogate host-microbe co-evolution and its impact on adaptive phenotypes due to their genomic, phenotypic, and cultural diversity. We integrate gut microbiome 16S rRNA amplicon and shotgun metagenomic sequence data with quantification of pathogen burden and measures of immune parameters for 575 ethnically diverse Africans from Cameroon. Subjects followed pastoralist, agropastoralist, and hunter-gatherer lifestyles and were compared to an urban US population from Philadelphia. RESULTS We observe significant differences in gut microbiome composition across populations that correlate with subsistence strategy and country. After these, the variable most strongly associated with gut microbiome structure in Cameroonians is the presence of gut parasites. Hunter-gatherers have high frequencies of parasites relative to agropastoralists and pastoralists. Ascaris lumbricoides, Necator americanus, Trichuris trichiura, and Strongyloides stercoralis soil-transmitted helminths ("ANTS" parasites) significantly co-occur, and increased frequency of gut parasites correlates with increased gut microbial diversity. Gut microbiome composition predicts ANTS positivity with 80% accuracy. Colonization with ANTS, in turn, is associated with elevated levels of TH1, TH2, and proinflammatory cytokines, indicating an association with multiple immune mechanisms. The unprecedented size of this dataset allowed interrogation of additional questions-for example, we find that Fulani pastoralists, who consume high levels of milk, possess an enrichment of gut bacteria that catabolize galactose, an end product of lactose metabolism, and of bacteria that metabolize lipids. CONCLUSIONS These data document associations of bacterial microbiota and eukaryotic parasites with each other and with host immune responses; each of these is further correlated with subsistence practices.
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Affiliation(s)
- Meagan A. Rubel
- Department of Anthropology, University of Pennsylvania, Philadelphia, PA 19104 USA
- Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104 USA
- Present Address: Department of Radiology, Center for Translational Imaging and Precision Medicine, UC San Diego, San Diego, CA USA
| | - Arwa Abbas
- Department of Microbiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104 USA
- Present Address: Department of Pathology and Laboratory Medicine, Children’s Hospital of Philadelphia, Philadelphia, PA 19104 USA
| | - Louis J. Taylor
- Department of Microbiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104 USA
| | - Andrew Connell
- Department of Microbiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104 USA
| | - Ceylan Tanes
- Division of Gastroenterology, Hepatology, and Nutrition, The Children’s Hospital of Philadelphia, Philadelphia, PA 19104 USA
| | - Kyle Bittinger
- Division of Gastroenterology, Hepatology, and Nutrition, The Children’s Hospital of Philadelphia, Philadelphia, PA 19104 USA
| | - Valantine N. Ndze
- Johns Hopkins Cameroon Program, Yaoundé, Cameroon
- Department of Microbiology, Hematology, Parasitology and Infectious Diseases, Faculty of Medicine and Biomedical Sciences, University of Yaoundé I, Yaoundé, Cameroon
| | - Julius Y. Fonsah
- Department of Neurology, Faculty of Medicine and Biomedical Sciences, Yaoundé Central Hospital, Yaoundé, Cameroon
| | - Eric Ngwang
- Department of Anthropology, Faculty of Arts, Letters and Social Sciences, University of Yaoundé I, PO Box 755, Yaoundé, Cameroon
| | | | - Charles Fokunang
- Department of Pharmacotoxicology and Pharmacokinetics, Faculty of Medicine and Biomedical Sciences, University of Yaoundé I, Yaoundé, Cameroon
| | - Alfred K. Njamnshi
- Department of Neurology, Central Hospital Yaoundé, Yaoundé, Cameroon
- Neuroscience Lab, Faculty of Medicine and Biomedical Sciences, University of Yaoundé I, Yaoundé, Cameroon
- Brain Research Africa Initiative (BRAIN), Yaoundé, Cameroon
| | - Frederic D. Bushman
- Department of Microbiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104 USA
| | - Sarah A. Tishkoff
- Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104 USA
- Department of Biology, University of Pennsylvania, Philadelphia, PA 19104 USA
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15
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Jay F, Boitard S, Austerlitz F. An ABC Method for Whole-Genome Sequence Data: Inferring Paleolithic and Neolithic Human Expansions. Mol Biol Evol 2020; 36:1565-1579. [PMID: 30785202 DOI: 10.1093/molbev/msz038] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
Abstract
Species generally undergo a complex demographic history consisting, in particular, of multiple changes in population size. Genome-wide sequencing data are potentially highly informative for reconstructing this demographic history. A crucial point is to extract the relevant information from these very large data sets. Here, we design an approach for inferring past demographic events from a moderate number of fully sequenced genomes. Our new approach uses Approximate Bayesian Computation, a simulation-based statistical framework that allows 1) identifying the best demographic scenario among several competing scenarios and 2) estimating the best-fitting parameters under the chosen scenario. Approximate Bayesian Computation relies on the computation of summary statistics. Using a cross-validation approach, we show that statistics such as the lengths of haplotypes shared between individuals, or the decay of linkage disequilibrium with distance, can be combined with classical statistics (e.g., heterozygosity and Tajima's D) to accurately infer complex demographic scenarios including bottlenecks and expansion periods. We also demonstrate the importance of simultaneously estimating the genotyping error rate. Applying our method on genome-wide human-sequence databases, we finally show that a model consisting in a bottleneck followed by a Paleolithic and a Neolithic expansion is the most relevant for Eurasian populations.
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Affiliation(s)
- Flora Jay
- Laboratoire EcoAnthropologie et Ethnobiologie, CNRS/MNHN/Université Paris Diderot, Paris, France.,Laboratoire de Recherche en Informatique, CNRS/Université Paris-Sud/Université Paris-Saclay, Orsay, France
| | - Simon Boitard
- GenPhySE, Université de Toulouse, INRA, INPT, INP-ENVT, Castanet Tolosan, France
| | - Frédéric Austerlitz
- Laboratoire EcoAnthropologie et Ethnobiologie, CNRS/MNHN/Université Paris Diderot, Paris, France
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16
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Genomic Evidence for Local Adaptation of Hunter-Gatherers to the African Rainforest. Curr Biol 2019; 29:2926-2935.e4. [DOI: 10.1016/j.cub.2019.07.013] [Citation(s) in RCA: 28] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2019] [Revised: 06/26/2019] [Accepted: 07/04/2019] [Indexed: 12/18/2022]
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17
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Lorente-Galdos B, Lao O, Serra-Vidal G, Santpere G, Kuderna LFK, Arauna LR, Fadhlaoui-Zid K, Pimenoff VN, Soodyall H, Zalloua P, Marques-Bonet T, Comas D. Whole-genome sequence analysis of a Pan African set of samples reveals archaic gene flow from an extinct basal population of modern humans into sub-Saharan populations. Genome Biol 2019; 20:77. [PMID: 31023378 PMCID: PMC6485163 DOI: 10.1186/s13059-019-1684-5] [Citation(s) in RCA: 36] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2018] [Accepted: 03/28/2019] [Indexed: 12/30/2022] Open
Abstract
Background Population demography and gene flow among African groups, as well as the putative archaic introgression of ancient hominins, have been poorly explored at the genome level. Results Here, we examine 15 African populations covering all major continental linguistic groups, ecosystems, and lifestyles within Africa through analysis of whole-genome sequence data of 21 individuals sequenced at deep coverage. We observe a remarkable correlation among genetic diversity and geographic distance, with the hunter-gatherer groups being more genetically differentiated and having larger effective population sizes throughout most modern-human history. Admixture signals are found between neighbor populations from both hunter-gatherer and agriculturalists groups, whereas North African individuals are closely related to Eurasian populations. Regarding archaic gene flow, we test six complex demographic models that consider recent admixture as well as archaic introgression. We identify the fingerprint of an archaic introgression event in the sub-Saharan populations included in the models (~ 4.0% in Khoisan, ~ 4.3% in Mbuti Pygmies, and ~ 5.8% in Mandenka) from an early divergent and currently extinct ghost modern human lineage. Conclusion The present study represents an in-depth genomic analysis of a Pan African set of individuals, which emphasizes their complex relationships and demographic history at population level. Electronic supplementary material The online version of this article (10.1186/s13059-019-1684-5) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Belen Lorente-Galdos
- Departament de Ciències Experimentals i de la Salut, Institut de Biologia Evolutiva (UPF/CSIC), Universitat Pompeu Fabra, 08003, Barcelona, Spain.,Department of Neuroscience, Yale School of Medicine, New Haven, CT, USA
| | - Oscar Lao
- CNAG-CRG, Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Baldiri Reixac 4, 08028, Barcelona, Spain.,Universitat Pompeu Fabra (UPF), Barcelona, Spain
| | - Gerard Serra-Vidal
- Departament de Ciències Experimentals i de la Salut, Institut de Biologia Evolutiva (UPF/CSIC), Universitat Pompeu Fabra, 08003, Barcelona, Spain
| | - Gabriel Santpere
- Departament de Ciències Experimentals i de la Salut, Institut de Biologia Evolutiva (UPF/CSIC), Universitat Pompeu Fabra, 08003, Barcelona, Spain.,Department of Neuroscience, Yale School of Medicine, New Haven, CT, USA
| | - Lukas F K Kuderna
- Departament de Ciències Experimentals i de la Salut, Institut de Biologia Evolutiva (UPF/CSIC), Universitat Pompeu Fabra, 08003, Barcelona, Spain
| | - Lara R Arauna
- Departament de Ciències Experimentals i de la Salut, Institut de Biologia Evolutiva (UPF/CSIC), Universitat Pompeu Fabra, 08003, Barcelona, Spain
| | - Karima Fadhlaoui-Zid
- College of Science, Department of Biology, Taibah University, Al Madinah, Al Monawarah, Saudi Arabia.,Higher Institute of Biotechnology of Beja, University of Jendouba, Avenue Habib Bourguiba, BP, 382, 9000, Beja, Tunisia
| | - Ville N Pimenoff
- Oncology Data Analytics Program, Bellvitge Biomedical Research Institute (ICO-IDIBELL), Consortium for Biomedical Research in Epidemiology and Public Health, Hospitalet de Llobregat, Barcelona, Spain.,Department of Archaeology, University of Helsinki, Helsinki, Finland
| | - Himla Soodyall
- Division of Human Genetics, School of Pathology, Faculty of Health Sciences, University of the Witwatersrand and National Health Laboratory Service, Johannesburg, South Africa
| | - Pierre Zalloua
- School of Medicine, The Lebanese American University, Beirut, 1102-2801, Lebanon
| | - Tomas Marques-Bonet
- Departament de Ciències Experimentals i de la Salut, Institut de Biologia Evolutiva (UPF/CSIC), Universitat Pompeu Fabra, 08003, Barcelona, Spain.,CNAG-CRG, Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Baldiri Reixac 4, 08028, Barcelona, Spain.,Institució Catalana de Recerca i Estudis Avançats, ICREA, 08003, Barcelona, Spain
| | - David Comas
- Departament de Ciències Experimentals i de la Salut, Institut de Biologia Evolutiva (UPF/CSIC), Universitat Pompeu Fabra, 08003, Barcelona, Spain.
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18
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Laval G, Peyrégne S, Zidane N, Harmant C, Renaud F, Patin E, Prugnolle F, Quintana-Murci L. Recent Adaptive Acquisition by African Rainforest Hunter-Gatherers of the Late Pleistocene Sickle-Cell Mutation Suggests Past Differences in Malaria Exposure. Am J Hum Genet 2019; 104:553-561. [PMID: 30827499 DOI: 10.1016/j.ajhg.2019.02.007] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2018] [Accepted: 02/04/2019] [Indexed: 12/31/2022] Open
Abstract
The hemoglobin βS sickle mutation is a textbook case in which natural selection maintains a deleterious mutation at high frequency in the human population. Homozygous individuals for this mutation develop sickle-cell disease, whereas heterozygotes benefit from higher protection against severe malaria. Because the overdominant βS allele should be purged almost immediately from the population in the absence of malaria, the study of the evolutionary history of this iconic mutation can provide important information about the history of human exposure to malaria. Here, we sought to increase our understanding of the origins and time depth of the βS mutation in populations with different lifestyles and ecologies, and we analyzed the diversity of HBB in 479 individuals from 13 populations of African farmers and rainforest hunter-gatherers. Using an approximate Bayesian computation method, we estimated the age of the βS allele while explicitly accounting for population subdivision, past demography, and balancing selection. When the effects of balancing selection are taken into account, our analyses indicate a single emergence of βS in the ancestors of present-day agriculturalist populations ∼22,000 years ago. Furthermore, we show that rainforest hunter-gatherers have more recently acquired the βS mutation from the ancestors of agriculturalists through adaptive gene flow during the last ∼6,000 years. Together, our results provide evidence for a more ancient exposure to malarial pressures among the ancestors of agriculturalists than previously appreciated, and they suggest that rainforest hunter-gatherers have been increasingly exposed to malaria during the last millennia.
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19
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Human Immunology through the Lens of Evolutionary Genetics. Cell 2019; 177:184-199. [DOI: 10.1016/j.cell.2019.02.033] [Citation(s) in RCA: 76] [Impact Index Per Article: 15.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2019] [Revised: 02/19/2019] [Accepted: 02/20/2019] [Indexed: 01/04/2023]
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20
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The demographic and adaptive history of central African hunter-gatherers and farmers. Curr Opin Genet Dev 2018; 53:90-97. [PMID: 30103089 DOI: 10.1016/j.gde.2018.07.008] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2018] [Accepted: 07/18/2018] [Indexed: 01/06/2023]
Abstract
Central Africa, a forested region that supports an exceptionally high biodiversity, hosts the world's largest group of hunter-gatherers, who live in close proximity with groups that have adopted agriculture over the past 5000 years. Our understanding of the prehistory of these populations has been dramatically hampered by the almost total absence of fossil remains in this region, a limitation that has recently been circumvented by population genomics approaches. Different studies have estimated that ancestors of rainforest hunter-gatherers and Bantu-speaking farmers separated more than 60 000 years ago, supporting the occurrence of ancient population structure in Africa since the Late Pleistocene. Conversely, the Holocene in central Africa was characterized by large-scale population migrations associated with the emergence of agriculture, and increased genetic interactions between autochthonous rainforest hunter-gatherers and expanding Bantu-speaking farmers. Genomic scans have detected numerous candidate loci for positive selection in these populations, including convergent adaptation for short stature in groups of rainforest hunter-gatherers and local adaptation to endemic malaria in western and central Africans. Furthermore, there is recent increasing evidence that adaptive variation has been acquired by various African populations through admixture, suggesting a previously unappreciated role of intraspecies gene flow in local adaptation. Ancient and modern DNA studies will greatly broaden, and probably challenge, our view on the past history of central Africa, where introgression from yet uncharacterized archaic hominins and long-term adaptation to distinct ecological niches are suspected.
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21
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Choudhury A, Aron S, Sengupta D, Hazelhurst S, Ramsay M. African genetic diversity provides novel insights into evolutionary history and local adaptations. Hum Mol Genet 2018; 27:R209-R218. [PMID: 29741686 PMCID: PMC6061870 DOI: 10.1093/hmg/ddy161] [Citation(s) in RCA: 30] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2018] [Revised: 04/27/2018] [Accepted: 04/27/2018] [Indexed: 12/22/2022] Open
Abstract
Genetic variation and susceptibility to disease are shaped by human demographic history and adaptation. We can now study the genomes of extant Africans and uncover traces of population migration, admixture, assimilation and selection by applying sophisticated computational algorithms. There are four major ethnolinguistic divisions among present day Africans: Hunter-gatherer populations in southern and central Africa; Nilo-Saharan speakers from north and northeast Africa; Afro-Asiatic speakers from north and east Africa; and Niger-Congo speakers who are the predominant ethnolinguistic group spread across most of sub-Saharan Africa. The enormous ethnolinguistic diversity in sub-Saharan African populations is largely paralleled by extensive genetic diversity and until a decade ago, little was known about detailed origins and divergence of these groups. Results from large-scale population genetic studies, and more recently whole genome sequence data, are unravelling the critical role of events like migration and admixture and environmental factors including diet, infectious diseases and climatic conditions in shaping current population diversity. It is now possible to start providing quantitative estimates of divergence times, population size and dynamic processes that have affected populations and their genetic risk for disease. Finally, the availability of ancient genomes from Africa provides historical insights of unprecedented depth. In this review, we highlight some key interpretations that have emerged from recent African genome studies.
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Affiliation(s)
- Ananyo Choudhury
- Sydney Brenner Institute for Molecular Bioscience, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Shaun Aron
- Sydney Brenner Institute for Molecular Bioscience, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Dhriti Sengupta
- Sydney Brenner Institute for Molecular Bioscience, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Scott Hazelhurst
- Sydney Brenner Institute for Molecular Bioscience, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
- School of Electrical & Information Engineering, University of the Witwatersrand, Johannesburg, South Africa
| | - Michèle Ramsay
- Sydney Brenner Institute for Molecular Bioscience, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
- Division of Human Genetics, National Health Laboratory Service and School of Pathology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
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22
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Pemberton TJ, Verdu P, Becker NS, Willer CJ, Hewlett BS, Le Bomin S, Froment A, Rosenberg NA, Heyer E. A genome scan for genes underlying adult body size differences between Central African hunter-gatherers and farmers. Hum Genet 2018; 137:487-509. [PMID: 30008065 DOI: 10.1007/s00439-018-1902-3] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2017] [Accepted: 07/03/2018] [Indexed: 12/16/2022]
Abstract
The evolutionary and biological bases of the Central African "pygmy" phenotype, a characteristic of rainforest hunter-gatherers defined by reduced body size compared with neighboring farmers, remain largely unknown. Here, we perform a joint investigation in Central African hunter-gatherers and farmers of adult standing height, sitting height, leg length, and body mass index (BMI), considering 358 hunter-gatherers and 169 farmers with genotypes for 153,798 SNPs. In addition to reduced standing heights, hunter-gatherers have shorter sitting heights and leg lengths and higher sitting/standing height ratios than farmers and lower BMI for males. Standing height, sitting height, and leg length are strongly correlated with inferred levels of farmer genetic ancestry, whereas BMI is only weakly correlated, perhaps reflecting greater contributions of non-genetic factors to body weight than to height. Single- and multi-marker association tests identify one region and eight genes associated with hunter-gatherer/farmer status, and 24 genes associated with the height-related traits. Many of these genes have putative functions consistent with roles in determining their associated traits and the pygmy phenotype, and they include three associated with standing height in non-Africans (PRKG1, DSCAM, MAGI2). We find evidence that European height-associated SNPs or variants in linkage disequilibrium with them contribute to standing- and sitting-height determination in Central Africans, but not to the differential status of hunter-gatherers and farmers. These findings provide new insights into the biological basis of the pygmy phenotype, and they highlight the potential of cross-population studies for exploring the genetic basis of phenotypes that vary naturally across populations.
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Affiliation(s)
- Trevor J Pemberton
- Department of Biochemistry and Medical Genetics, University of Manitoba, Winnipeg, MB, Canada.
| | - Paul Verdu
- CNRS-MNHN-Université Paris Diderot, UMR 7206 Eco-Anthropologie et Ethnobiologie, Paris, France.
| | - Noémie S Becker
- Division of Evolutionary Biology, Faculty of Biology, Ludwig-Maximilians-Universität München, Planegg-Martinsried, Germany
| | - Cristen J Willer
- Division of Cardiovascular Medicine, University of Michigan, Ann Arbor, MI, USA
| | - Barry S Hewlett
- Department of Anthropology, Washington State University, Vancouver, WA, USA
| | - Sylvie Le Bomin
- CNRS-MNHN-Université Paris Diderot, UMR 7206 Eco-Anthropologie et Ethnobiologie, Paris, France
| | | | | | - Evelyne Heyer
- CNRS-MNHN-Université Paris Diderot, UMR 7206 Eco-Anthropologie et Ethnobiologie, Paris, France.
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23
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Romero A, Ramirez-Rozzi FV, Pérez-Pérez A. Dental size variability in Central African Pygmy hunter-gatherers and Bantu-speaking farmers. AMERICAN JOURNAL OF PHYSICAL ANTHROPOLOGY 2018; 166:671-681. [PMID: 29566431 DOI: 10.1002/ajpa.23458] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/21/2017] [Revised: 02/27/2018] [Accepted: 03/01/2018] [Indexed: 11/11/2022]
Abstract
OBJECTIVES Odontometric studies of African populations show high within-group variation in tooth size. Overall, North Africans exhibit smaller dimensions than groups from eastern and southern sub-Saharan regions, but no previous studies have analyzed the full dental metrics among extant African Pygmy hunter-gatherers and Bantu-speaking farmers. Furthermore, the population variability in tooth crown sizes from equatorial rainforest regions remains to be elucidated. MATERIALS AND METHODS The mesiodistal and buccolingual diameters of the permanent teeth (I1-M2) were measured in vivo using high-resolution replicas from Baka Pygmies and Mvae and Yassa Bantu-speakers from Cameroon (western Africa). Analyses of variance were used to record sex-related and population-level differences in tooth sizes, and a principal component analysis of geometrically scaled measures was used to plot the odontometric variability among groups. RESULTS Cameroonian Baka Pygmies differ in dental size from their Bantu-speaking neighbors. Molar teeth are larger in Pygmies than in Bantu individuals, while the anterior dentition is larger in the Bantu. Baka males exhibit significantly larger teeth than females, whereas sexual dimorphism in non-Pygmies is only present in the anterior dentition. DISCUSSION Odontometric patterns and the degree of sexual dimorphism in dental size differ among Central African groups, indicating adaptation to their different forager and farmer lifestyles. In particular, the admixture of Bantu-speakers in Baka populations is smaller than that in other western Pygmy groups. The greater dental phenetic diversity in Baka compared to that of the smaller-toothed farmers suggests that ecogenetic and microevolutionary factors are influencing a particular divergence scenario.
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Affiliation(s)
- Alejandro Romero
- Departamento de Biotecnología, Facultad de Ciencias, Universidad de Alicante, Alicante, 03080, Spain
| | | | - Alejandro Pérez-Pérez
- Departament de Biologia Evolutiva, Ecologia i Ciencies Ambientals, Secció Zoologia i Antropologia Biològica, Universitat de Barcelona, Barcelona, 08028, Spain
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Černý V, Kulichová I, Poloni ES, Nunes JM, Pereira L, Mayor A, Sanchez-Mazas A. Genetic history of the African Sahelian populations. HLA 2018; 91:153-166. [DOI: 10.1111/tan.13189] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2017] [Accepted: 12/03/2017] [Indexed: 12/13/2022]
Affiliation(s)
- V. Černý
- Department of Anthropology, Faculty of Natural Sciences; Comenius University, Ilkovicova 6; 842 15 Bratislava Slovakia
| | - I. Kulichová
- Department of Anthropology and Human Genetics, Faculty of Science; Charles University in Prague; Prague Czech Republic
| | - E. S. Poloni
- Laboratory of Anthropology, Genetics and Peopling History (AGP), Department of Genetics and Evolution, Anthropology Unit; University of Geneva; Geneva Switzerland
- Institute of Genetics and Genomics in Geneva (IGE3); Geneva Switzerland
| | - J. M. Nunes
- Laboratory of Anthropology, Genetics and Peopling History (AGP), Department of Genetics and Evolution, Anthropology Unit; University of Geneva; Geneva Switzerland
- Institute of Genetics and Genomics in Geneva (IGE3); Geneva Switzerland
| | - L. Pereira
- Instituto de Investigação e Inovação em Saúde; Universidade do Porto (i3S); Porto Portugal
- Instituto de Patologia e Imunologia Molecular da Universidade do Porto (IPATIMUP); Porto Portugal
| | - A. Mayor
- Laboratory of African Archaeology and Peopling History (APA), Department of Genetics and Evolution, Anthropology Unit; University of Geneva; Geneva Switzerland
| | - A. Sanchez-Mazas
- Laboratory of Anthropology, Genetics and Peopling History (AGP), Department of Genetics and Evolution, Anthropology Unit; University of Geneva; Geneva Switzerland
- Institute of Genetics and Genomics in Geneva (IGE3); Geneva Switzerland
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27
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Have we finally solve the enigma of the small size of Pygmies? ANNALES D'ENDOCRINOLOGIE 2017; 78:83-87. [DOI: 10.1016/j.ando.2017.04.022] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
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28
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Ehler E, Vanek D. Forensic genetic analyses in isolated populations with examples of central European Valachs and Roma. J Forensic Leg Med 2017; 48:46-52. [PMID: 28454050 DOI: 10.1016/j.jflm.2017.04.001] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2016] [Revised: 03/22/2017] [Accepted: 04/09/2017] [Indexed: 01/27/2023]
Abstract
Isolated populations present a constant threat to the correctness of forensic genetic casework. In this review article we present several examples of how analyzing samples from isolated populations can bias the results of the forensic statistics and analyses. We select our examples from isolated populations from central and southeastern Europe, namely the Valachs and the European Roma. We also provide the reader with general strategies and principles to improve the laboratory practice (best practice) and reporting of samples from supposedly isolated populations. These include reporting the precise population data used for computing the forensic statistics, using the appropriate θ correction factor for calculating allele frequencies, typing ancestry informative markers in samples of unknown or uncertain ethnicity and establishing ethnic-specific forensic databases.
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Affiliation(s)
- Edvard Ehler
- Department of Biology and Environmental Studies, Charles University in Prague, Faculty of Education, Magdaleny Rettigove 4, Prague, 116 39, Czech Republic; Institute of Anthropology, Faculty of Biology, Adam Mickiewicz University, ul. Umultowska 89, 61-614, Poznan, Poland.
| | - Daniel Vanek
- Forensic DNA Service, Janovskeho 18, Prague 7, 170 00, Czech Republic; Charles University in Prague, 2nd Faculty of Medicine, V Uvalu 84, Prague, 150 06, Czech Republic; Nemocnice Na Bulovce, Institute of Legal Medicine, Budinova 2, Prague, 180 81, Czech Republic.
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29
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Adeoye AM, Ovbiagele B, Kolo P, Appiah L, Aje A, Adebayo O, Sarfo F, Akinyemi J, Adekunle G, Agyekum F, Shidali V, Ogah O, Lackland D, Gebregziabher M, Arnett D, Tiwari HK, Akinyemi R, Olagoke OO, Oguntade AS, Olunuga T, Uwanruochi K, Jenkins C, Adadey P, Iheonye H, Owolabi L, Obiako R, Akinjopo S, Armstrong K, Akpalu A, Fakunle A, Saulson R, Aridegbe M, Olowoyo P, Osaigbovo G, Akpalu J, Fawale B, Adebayo P, Arulogun O, Ibinaiye P, Agunloye A, Ishaq N, Wahab K, Akpa O, Adeleye O, Bock-Oruma A, Ogbole G, Melikam S, Yaria J, Ogunjimi L, Salaam A, Sunmonu T, Makanjuola A, Farombi T, Laryea R, Uvere E, Kehinde S, Chukwuonye I, Azuh P, Komolafe M, Akintunde A, Obiabo O, Areo O, Kehinde I, Amusa AG, Owolabi M. Exploring Overlaps Between the Genomic and Environmental Determinants of LVH and Stroke: A Multicenter Study in West Africa. Glob Heart 2017; 12:107-113.e5. [PMID: 28302552 DOI: 10.1016/j.gheart.2017.01.001] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2017] [Accepted: 01/05/2017] [Indexed: 11/25/2022] Open
Abstract
BACKGROUND Whether left ventricular hypertrophy (LVH) is determined by similar genomic and environmental risk factors with stroke, or is simply an intermediate stroke marker, is unknown. OBJECTIVES We present a research plan and preliminary findings to explore the overlap in the genomic and environmental determinants of LVH and stroke among Africans participating in the SIREN (Stroke Investigative Research and Education Network) study. METHODS SIREN is a transnational, multicenter study involving acute stroke patients and age-, ethnicity-, and sex-matched control subjects recruited from 9 sites in Ghana and Nigeria. Genomic and environmental risk factors and other relevant phenotypes for stroke and LVH are being collected and compared using standard techniques. RESULTS This preliminary analysis included only 725 stroke patients (mean age 59.1 ± 13.2 years; 54.3% male). Fifty-five percent of the stroke subjects had LVH with greater proportion among women (51.6% vs. 48.4%; p < 0.001). Those with LVH were younger (57.9 ± 12.8 vs. 60.6 ± 13.4; p = 0.006) and had higher mean systolic and diastolic blood pressure (167.1/99.5 mm Hg vs 151.7/90.6 mm Hg; p < 0.001). Uncontrolled blood pressure at presentation was prevalent in subjects with LVH (76.2% vs. 57.7%; p < 0.001). Significant independent predictors of LVH were age <45 years (adjusted odds ratio [AOR]: 1.91; 95% confidence interval [CI]: 1.14 to 3.19), female sex (AOR: 2.01; 95% CI: 1.44 to 2.81), and diastolic blood pressure > 90 mm Hg (AOR: 2.10; 95% CI: 1.39 to 3.19; p < 0.001). CONCLUSIONS The prevalence of LVH was high among stroke patients especially the younger ones, suggesting a genetic component to LVH. Hypertension was a major modifiable risk factor for stroke as well as LVH. It is envisaged that the SIREN project will elucidate polygenic overlap (if present) between LVH and stroke among Africans, thereby defining the role of LVH as a putative intermediate cardiovascular phenotype and therapeutic target to inform interventions to reduce stroke risk in populations of African ancestry.
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Affiliation(s)
| | | | - Philip Kolo
- University of Ilorin Teaching Hospital, Ilorin, Nigeria
| | | | | | | | - Fred Sarfo
- Komfo Anokye Teaching Hospital, Kumasi, Ghana
| | | | | | | | | | | | - Dan Lackland
- Medical University of South Carolina, Charleston, SC, USA
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Raelle Saulson
- Medical University of South Carolina, Charleston, SC, USA
| | | | - Paul Olowoyo
- Federal University Teaching Hospital, Ido-Ekiti, Nigeria
| | | | | | - Bimbo Fawale
- Obafemi Awolowo University Teaching Hospital, Ile-Ife, Nigeria
| | - Philip Adebayo
- Ladoke Akintola University of Technology, Ogbomoso, Nigeria
| | | | | | | | | | | | | | - Omisore Adeleye
- Obafemi Awolowo University Teaching Hospital, Ile-Ife, Nigeria
| | | | | | | | | | | | | | | | | | | | - Ruth Laryea
- University of Ghana Medical School, Accra, Ghana
| | | | | | | | | | | | | | - Olugbo Obiabo
- Delta State University Teaching Hospital, Ogara, Nigeria
| | - Olusegun Areo
- Federal University Teaching Hospital, Ido-Ekiti, Nigeria
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30
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McManus KF, Taravella AM, Henn BM, Bustamante CD, Sikora M, Cornejo OE. Population genetic analysis of the DARC locus (Duffy) reveals adaptation from standing variation associated with malaria resistance in humans. PLoS Genet 2017; 13:e1006560. [PMID: 28282382 PMCID: PMC5365118 DOI: 10.1371/journal.pgen.1006560] [Citation(s) in RCA: 68] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2016] [Revised: 03/24/2017] [Accepted: 12/30/2016] [Indexed: 12/22/2022] Open
Abstract
The human DARC (Duffy antigen receptor for chemokines) gene encodes a membrane-bound chemokine receptor crucial for the infection of red blood cells by Plasmodium vivax, a major causative agent of malaria. Of the three major allelic classes segregating in human populations, the FY*O allele has been shown to protect against P. vivax infection and is at near fixation in sub-Saharan Africa, while FY*B and FY*A are common in Europe and Asia, respectively. Due to the combination of strong geographic differentiation and association with malaria resistance, DARC is considered a canonical example of positive selection in humans. Despite this, details of the timing and mode of selection at DARC remain poorly understood. Here, we use sequencing data from over 1,000 individuals in twenty-one human populations, as well as ancient human genomes, to perform a fine-scale investigation of the evolutionary history of DARC. We estimate the time to most recent common ancestor (TMRCA) of the most common FY*O haplotype to be 42 kya (95% CI: 34-49 kya). We infer the FY*O null mutation swept to fixation in Africa from standing variation with very low initial frequency (0.1%) and a selection coefficient of 0.043 (95% CI:0.011-0.18), which is among the strongest estimated in the human genome. We estimate the TMRCA of the FY*A mutation in non-Africans to be 57 kya (95% CI: 48-65 kya) and infer that, prior to the sweep of FY*O, all three alleles were segregating in Africa, as highly diverged populations from Asia and ≠Khomani San hunter-gatherers share the same FY*A haplotypes. We test multiple models of admixture that may account for this observation and reject recent Asian or European admixture as the cause.
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Affiliation(s)
- Kimberly F. McManus
- Department of Biology, Stanford University, Stanford, California, United States of America
| | - Angela M. Taravella
- Department of Ecology and Evolution, Stony Brook University, Stony Brook, New York, United States of America
| | - Brenna M. Henn
- Department of Ecology and Evolution, Stony Brook University, Stony Brook, New York, United States of America
| | - Carlos D. Bustamante
- Department of Biology, Stanford University, Stanford, California, United States of America
- Department of Genetics, Stanford University, Stanford, California, United States of America
| | - Martin Sikora
- Department of Genetics, Stanford University, Stanford, California, United States of America
- Centre for Geogenetics, Natural History Museum Denmark, Copenhagen, Denmark
| | - Omar E. Cornejo
- Department of Genetics, Stanford University, Stanford, California, United States of America
- Department of Biological Sciences, Washington State University, Pullman, washington, United States of America
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31
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Roberts P, Boivin N, Lee-Thorp J, Petraglia M, Stock J. Tropical forests and the genus Homo. Evol Anthropol 2017; 25:306-317. [PMID: 28004892 DOI: 10.1002/evan.21508] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2016] [Indexed: 11/05/2022]
Abstract
Tropical forests constitute some of the most diverse and complex terrestrial ecosystems on the planet. From the Miocene onward, they have acted as a backdrop to the ongoing evolution of our closest living relatives, the great apes, and provided the cradle for the emergence of early hominins, who retained arboreal physiological adaptations at least into the Late Pliocene. There also now exists growing evidence, from the Late Pleistocene onward, for tool-assisted intensification of tropical forest occupation and resource extraction by our own species, Homo sapiens. However, between the Late Pliocene and Late Pleistocene there is an apparent gap in clear and convincing evidence for the use of tropical forests by hominins, including early members of our own genus. In discussions of Late Pliocene and Early Pleistocene hominin evolution, including the emergence and later expansion of Homo species across the globe, tropical forest adaptations tend to be eclipsed by open, savanna environments. Thus far, it is not clear whether this Early-Middle Pleistocene lacuna in Homo-rainforest interaction is real and representative of an adaptive shift with the emergence of our species or if it is simply reflective of preservation bias.
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32
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Maisano Delser P, Neumann R, Ballereau S, Hallast P, Batini C, Zadik D, Jobling MA. Signatures of human European Palaeolithic expansion shown by resequencing of non-recombining X-chromosome segments. Eur J Hum Genet 2017; 25:485-492. [PMID: 28120839 PMCID: PMC5386427 DOI: 10.1038/ejhg.2016.207] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2016] [Revised: 11/07/2016] [Accepted: 12/14/2016] [Indexed: 11/09/2022] Open
Abstract
Human genetic diversity in Europe has been extensively studied using uniparentally inherited sequences (mitochondrial DNA (mtDNA) and the Y chromosome), which reveal very different patterns indicating sex-specific demographic histories. The X chromosome, haploid in males and inherited twice as often from mothers as from fathers, could provide insights into past female behaviours, but has not been extensively investigated. Here, we use HapMap single-nucleotide polymorphism data to identify genome-wide segments of the X chromosome in which recombination is historically absent and mutations are likely to be the only source of genetic variation, referring to these as phylogeographically informative haplotypes on autosomes and X chromosome (PHAXs). Three such sequences on the X chromosome spanning a total of ~49 kb were resequenced in 240 males from Europe, the Middle East and Africa at an average coverage of 181 ×. These PHAXs were confirmed to be essentially non-recombining across European samples. All three loci show highly homogeneous patterns across Europe and are highly differentiated from the African sample. Star-like structures of European-specific haplotypes in median-joining networks indicate past population expansions. Bayesian skyline plots and time-to-most-recent-common-ancestor estimates suggest expansions pre-dating the Neolithic transition, a finding that is more compatible with data on mtDNA than the Y chromosome, and with the female bias of X-chromosomal inheritance. This study demonstrates the potential of the use of X-chromosomal haplotype blocks, and the utility of the accurate ascertainment of rare variants for inferring human demographic history.
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Affiliation(s)
| | - Rita Neumann
- Department of Genetics, University of Leicester, Leicester, UK
| | | | - Pille Hallast
- Department of Genetics, University of Leicester, Leicester, UK
| | - Chiara Batini
- Department of Genetics, University of Leicester, Leicester, UK
| | - Daniel Zadik
- Department of Genetics, University of Leicester, Leicester, UK
| | - Mark A Jobling
- Department of Genetics, University of Leicester, Leicester, UK
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33
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Aimé C, Austerlitz F. Different kinds of genetic markers permit inference of Paleolithic and Neolithic expansions in humans. Eur J Hum Genet 2016; 25:360-365. [PMID: 28000700 DOI: 10.1038/ejhg.2016.191] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2016] [Revised: 10/12/2016] [Accepted: 11/22/2016] [Indexed: 11/09/2022] Open
Abstract
Recent population genetic studies have provided valuable insights on the demographic history of our species. However, some issues such as the dating of the first demographic expansions in human populations remain puzzling. Indeed, although a few genetic studies argued that the first human expansions were concomitant with the Neolithic transition, many others found signals of expansion events starting during the Palaeolithic. Here we performed a simulation study to show that these contradictory findings may result from the differences in the genetic markers used, especially if two successive expansion events occurred. For a large majority of replicates for each scenario tested, microsatellite data allow only detecting the recent expansion event in that case, whereas sequence data allow only detecting the ancient expansion. Combined with previous real data analyses, our results bring support to the ideas that (i) a first human expansions started during the Palaeolithic period, (ii) a second expansion event occurred later, concomitantly with the Neolithic transition.
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Affiliation(s)
- Carla Aimé
- UMR 7206, EcoAnthropologie et Ethnobiologie, CNRS/MNHN/Université Paris Diderot, Paris, France.,UMR 5554, Institut des Sciences de l'Évolution, CNRS-Université de Montpellier, Montpellier, France
| | - Frédéric Austerlitz
- UMR 7206, EcoAnthropologie et Ethnobiologie, CNRS/MNHN/Université Paris Diderot, Paris, France
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34
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Beltrame MH, Rubel MA, Tishkoff SA. Inferences of African evolutionary history from genomic data. Curr Opin Genet Dev 2016; 41:159-166. [PMID: 27810637 PMCID: PMC5161638 DOI: 10.1016/j.gde.2016.10.002] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2016] [Revised: 09/29/2016] [Accepted: 10/07/2016] [Indexed: 01/22/2023]
Abstract
Africa is the origin of anatomically modern humans and a continent of linguistic, cultural, environmental, phenotypic, and genetic diversity. However, African populations remain underrepresented in genetic studies, which have largely focused on individuals with European and Asian ancestry. The expansion of high-throughput 'omic' technologies to interrogate multiple tissue types across many biomolecules-DNA, proteins, epigenetic modifications, metabolites, and others-has heralded a new era of investigation into African history. In this review, we summarize how some of these recent advances have been applied to contemporary sub-Saharan African populations to inform studies on human origins and adaptation.
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Affiliation(s)
- Marcia Holsbach Beltrame
- Department of Genetics, School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Meagan A Rubel
- Department of Anthropology, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Sarah A Tishkoff
- Department of Genetics, School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Department of Biology, School of Arts and Sciences, University of Pennsylvania, Philadelphia, PA 19104, USA.
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35
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Mallick S, Li H, Lipson M, Mathieson I, Gymrek M, Racimo F, Zhao M, Chennagiri N, Nordenfelt S, Tandon A, Skoglund P, Lazaridis I, Sankararaman S, Fu Q, Rohland N, Renaud G, Erlich Y, Willems T, Gallo C, Spence JP, Song YS, Poletti G, Balloux F, van Driem G, de Knijff P, Romero IG, Jha AR, Behar DM, Bravi CM, Capelli C, Hervig T, Moreno-Estrada A, Posukh OL, Balanovska E, Balanovsky O, Karachanak-Yankova S, Sahakyan H, Toncheva D, Yepiskoposyan L, Tyler-Smith C, Xue Y, Abdullah MS, Ruiz-Linares A, Beall CM, Di Rienzo A, Jeong C, Starikovskaya EB, Metspalu E, Parik J, Villems R, Henn BM, Hodoglugil U, Mahley R, Sajantila A, Stamatoyannopoulos G, Wee JTS, Khusainova R, Khusnutdinova E, Litvinov S, Ayodo G, Comas D, Hammer MF, Kivisild T, Klitz W, Winkler CA, Labuda D, Bamshad M, Jorde LB, Tishkoff SA, Watkins WS, Metspalu M, Dryomov S, Sukernik R, Singh L, Thangaraj K, Pääbo S, Kelso J, Patterson N, Reich D. The Simons Genome Diversity Project: 300 genomes from 142 diverse populations. Nature 2016; 538:201-206. [PMID: 27654912 PMCID: PMC5161557 DOI: 10.1038/nature18964] [Citation(s) in RCA: 796] [Impact Index Per Article: 99.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2015] [Accepted: 06/23/2016] [Indexed: 02/06/2023]
Abstract
Here we report the Simons Genome Diversity Project data set: high quality genomes from 300 individuals from 142 diverse populations. These genomes include at least 5.8 million base pairs that are not present in the human reference genome. Our analysis reveals key features of the landscape of human genome variation, including that the rate of accumulation of mutations has accelerated by about 5% in non-Africans compared to Africans since divergence. We show that the ancestors of some pairs of present-day human populations were substantially separated by 100,000 years ago, well before the archaeologically attested onset of behavioural modernity. We also demonstrate that indigenous Australians, New Guineans and Andamanese do not derive substantial ancestry from an early dispersal of modern humans; instead, their modern human ancestry is consistent with coming from the same source as that of other non-Africans.
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Affiliation(s)
- Swapan Mallick
- Department of Genetics, Harvard Medical School, Boston, Massachusetts 02115, USA
- Broad Institute of Harvard and MIT, Cambridge, Massachusetts 02142, USA
- Howard Hughes Medical Institute, Harvard Medical School, Boston, Massachusetts 02115, USA
| | - Heng Li
- Broad Institute of Harvard and MIT, Cambridge, Massachusetts 02142, USA
| | - Mark Lipson
- Department of Genetics, Harvard Medical School, Boston, Massachusetts 02115, USA
| | - Iain Mathieson
- Department of Genetics, Harvard Medical School, Boston, Massachusetts 02115, USA
| | - Melissa Gymrek
- Broad Institute of Harvard and MIT, Cambridge, Massachusetts 02142, USA
- Whitehead Institute for Biomedical Research, Cambridge, Massachusetts 02142, USA
- Harvard-MIT Division of Health Sciences and Technology, MIT, Cambridge, Massachusetts 02139, USA
- New York Genome Center, New York, New York 10013, USA
| | - Fernando Racimo
- Department of Integrative Biology, University of California, Berkeley, California 94720-3140, USA
| | - Mengyao Zhao
- Department of Genetics, Harvard Medical School, Boston, Massachusetts 02115, USA
- Broad Institute of Harvard and MIT, Cambridge, Massachusetts 02142, USA
- Howard Hughes Medical Institute, Harvard Medical School, Boston, Massachusetts 02115, USA
| | - Niru Chennagiri
- Department of Genetics, Harvard Medical School, Boston, Massachusetts 02115, USA
- Broad Institute of Harvard and MIT, Cambridge, Massachusetts 02142, USA
- Howard Hughes Medical Institute, Harvard Medical School, Boston, Massachusetts 02115, USA
| | - Susanne Nordenfelt
- Department of Genetics, Harvard Medical School, Boston, Massachusetts 02115, USA
- Broad Institute of Harvard and MIT, Cambridge, Massachusetts 02142, USA
- Howard Hughes Medical Institute, Harvard Medical School, Boston, Massachusetts 02115, USA
| | - Arti Tandon
- Department of Genetics, Harvard Medical School, Boston, Massachusetts 02115, USA
- Broad Institute of Harvard and MIT, Cambridge, Massachusetts 02142, USA
| | - Pontus Skoglund
- Department of Genetics, Harvard Medical School, Boston, Massachusetts 02115, USA
- Broad Institute of Harvard and MIT, Cambridge, Massachusetts 02142, USA
| | - Iosif Lazaridis
- Department of Genetics, Harvard Medical School, Boston, Massachusetts 02115, USA
- Broad Institute of Harvard and MIT, Cambridge, Massachusetts 02142, USA
| | - Sriram Sankararaman
- Department of Genetics, Harvard Medical School, Boston, Massachusetts 02115, USA
- Broad Institute of Harvard and MIT, Cambridge, Massachusetts 02142, USA
| | - Qiaomei Fu
- Department of Genetics, Harvard Medical School, Boston, Massachusetts 02115, USA
- Broad Institute of Harvard and MIT, Cambridge, Massachusetts 02142, USA
- Key Laboratory of Vertebrate Evolution and Human Origins of Chinese Academy of Sciences, IVPP, CAS, Beijing 100044, China
| | - Nadin Rohland
- Department of Genetics, Harvard Medical School, Boston, Massachusetts 02115, USA
- Broad Institute of Harvard and MIT, Cambridge, Massachusetts 02142, USA
| | - Gabriel Renaud
- Department of Evolutionary Genetics, Max Planck Institute for Evolutionary Anthropology, D-04103 Leipzig, Germany
| | - Yaniv Erlich
- New York Genome Center, New York, New York 10013, USA
- Department of Computer Science, Columbia University, New York, New York 10027, USA
- Center for Computational Biology and Bioinformatics, Columbia University, New York, New York 10032, USA
| | - Thomas Willems
- New York Genome Center, New York, New York 10013, USA
- Computational and Systems Biology Program, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - Carla Gallo
- Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima 15102, Perú
| | - Jeffrey P Spence
- Computational Biology Graduate Group, University of California, Berkeley, California 94720, USA
| | - Yun S Song
- Computer Science Division, University of California, Berkeley, California 94720, USA
- Department of Statistics, University of California, Berkeley, California 94720, USA
- Department of Mathematics and Department of Biology, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA
| | - Giovanni Poletti
- Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima 15102, Perú
| | - Francois Balloux
- Genetics Institute, University College London, Gower Street, London WC1E 6BT, UK
| | - George van Driem
- Institute of Linguistics, University of Bern, Bern CH-3012, Switzerland
| | - Peter de Knijff
- Department of Human and Clinical Genetics, Postzone S5-P, Leiden University Medical Center, 2333 ZA Leiden, Netherlands
| | - Irene Gallego Romero
- School of Biological Sciences, Nanyang Technological University, 637551 Singapore
- Lee Kong Chian School of Medicine, Nanyang Technological University, 636921 Singapore
| | - Aashish R Jha
- Department of Human Genetics, University of Chicago, Chicago, Illinois 60637, USA
| | - Doron M Behar
- Estonian Biocentre, Evolutionary Biology group, Tartu 51010, Estonia
| | - Claudio M Bravi
- Laboratorio de Genética Molecular Poblacional, Instituto Multidisciplinario de Biología Celular (IMBICE), CCT-CONICET La Plata/CIC Buenos Aires/Universidad Nacional de La Plata, La Plata B1906APO, Argentina
| | | | - Tor Hervig
- Department of Clinical Science, University of Bergen, Bergen 5021, Norway
| | - Andres Moreno-Estrada
- National Laboratory of Genomics for Biodiversity (LANGEBIO), CINVESTAV, Irapuato, Guanajuato 36821, Mexico
| | - Olga L Posukh
- Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences, Novosibirsk 630090, Russia
- Novosibirsk State University, Novosibirsk 630090, Russia
| | | | - Oleg Balanovsky
- Research Centre for Medical Genetics, Moscow 115478, Russia
- Vavilov Institute for General Genetics, Moscow 119991, Russia
- Moscow Institute for Physics and Technology, Dolgoprudniy 141700, Russia
| | - Sena Karachanak-Yankova
- Department of Medical Genetics, National Human Genome Center, Medical University Sofia, Sofia 1431, Bulgaria
| | - Hovhannes Sahakyan
- Estonian Biocentre, Evolutionary Biology group, Tartu 51010, Estonia
- Laboratory of Ethnogenomics, Institute of Molecular Biology, National Academy of Sciences of Armenia, Yerevan 0014, Armenia
| | - Draga Toncheva
- Department of Medical Genetics, National Human Genome Center, Medical University Sofia, Sofia 1431, Bulgaria
| | - Levon Yepiskoposyan
- Laboratory of Ethnogenomics, Institute of Molecular Biology, National Academy of Sciences of Armenia, Yerevan 0014, Armenia
| | - Chris Tyler-Smith
- The Wellcome Trust Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridgeshire CB10 1SA, UK
| | - Yali Xue
- The Wellcome Trust Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridgeshire CB10 1SA, UK
| | | | - Andres Ruiz-Linares
- Department of Genetics, Evolution and Environment, University College London WC1E 6BT, UK
| | - Cynthia M Beall
- Department of Anthropology, Case Western Reserve University, Cleveland, Ohio 44106-7125, USA
| | - Anna Di Rienzo
- Department of Human Genetics, University of Chicago, Chicago, Illinois 60637, USA
| | - Choongwon Jeong
- Department of Human Genetics, University of Chicago, Chicago, Illinois 60637, USA
| | - Elena B Starikovskaya
- Laboratory of Human Molecular Genetics, Institute of Molecular and Cellular Biology, Siberian Branch of Russian Academy of Sciences, Novosibirsk 630090, Russia
| | - Ene Metspalu
- Estonian Biocentre, Evolutionary Biology group, Tartu 51010, Estonia
- Department of Evolutionary Biology, University of Tartu, Tartu 51010, Estonia
| | - Jüri Parik
- Estonian Biocentre, Evolutionary Biology group, Tartu 51010, Estonia
| | - Richard Villems
- Estonian Biocentre, Evolutionary Biology group, Tartu 51010, Estonia
- Department of Evolutionary Biology, University of Tartu, Tartu 51010, Estonia
- Estonian Academy of Sciences, Tallinn 10130, Estonia
| | - Brenna M Henn
- Department of Ecology and Evolution, Stony Brook University, Stony Brook, New York 11794, USA
| | | | - Robert Mahley
- Gladstone Institutes, San Francisco, California 94158, USA
| | - Antti Sajantila
- Department of Forensic Medicine, University of Helsinki, Helsinki 00014, Finland
| | - George Stamatoyannopoulos
- Department of Medicine, Division of Medical Genetics, University of Washington, Seattle, Washington 98195, USA
| | | | - Rita Khusainova
- Institute of Biochemistry and Genetics, Ufa Research Centre, Russian Academy of Sciences, Ufa 450054, Russia
- Department of Genetics and Fundamental Medicine, Bashkir State University, Ufa 450074, Russia
| | - Elza Khusnutdinova
- Institute of Biochemistry and Genetics, Ufa Research Centre, Russian Academy of Sciences, Ufa 450054, Russia
- Department of Genetics and Fundamental Medicine, Bashkir State University, Ufa 450074, Russia
| | - Sergey Litvinov
- Estonian Biocentre, Evolutionary Biology group, Tartu 51010, Estonia
- Institute of Biochemistry and Genetics, Ufa Research Centre, Russian Academy of Sciences, Ufa 450054, Russia
- Department of Genetics and Fundamental Medicine, Bashkir State University, Ufa 450074, Russia
| | - George Ayodo
- Jaramogi Oginga Odinga University of Science and Technology, Bondo 40601, Kenya
| | - David Comas
- Institut de Biologia Evolutiva (CSIC-UPF), Departament de Ciències Experimentals i de la Salut, Universitat Pompeu Fabra, Barcelona 08003, Spain
| | - Michael F Hammer
- ARL Division of Biotechnology, University of Arizona, Tucson, Arizona 85721, USA
| | - Toomas Kivisild
- Estonian Biocentre, Evolutionary Biology group, Tartu 51010, Estonia
- Division of Biological Anthropology, University of Cambridge, Fitzwilliam Street, Cambridge CB2 1QH, UK
| | - William Klitz
- New York Genome Center, New York, New York 10013, USA
| | - Cheryl A Winkler
- Basic Research Laboratory, Center for Cancer Research, NCI, Leidos Biomedical Research, Inc., Frederick National Laboratory, Frederick, Maryland 21702, USA
| | - Damian Labuda
- CHU Sainte-Justine, Pediatrics Departement, Université de Montréal, Québec H3T 1C5, Canada
| | - Michael Bamshad
- Department of Pediatrics, University of Washington, Seattle, Washington 98119, USA
| | - Lynn B Jorde
- Department of Human Genetics, University of Utah School of Medicine, Salt Lake City, Utah 84112, USA
| | - Sarah A Tishkoff
- Departments of Genetics and Biology, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA
| | - W Scott Watkins
- Department of Human Genetics, Eccles Institute of Human Genetics, University of Utah, Salt Lake City, Utah 84112, USA
| | - Mait Metspalu
- Estonian Biocentre, Evolutionary Biology group, Tartu 51010, Estonia
| | - Stanislav Dryomov
- Laboratory of Human Molecular Genetics, Institute of Molecular and Cellular Biology, Siberian Branch of Russian Academy of Sciences, Novosibirsk 630090, Russia
- Department of Paleolithic Archaeology, Institute of Archaeology and Ethnography, Siberian Branch of Russian Academy of Sciences, Novosibirsk 630090, Russia
| | - Rem Sukernik
- Laboratory of Human Molecular Genetics, Institute of Molecular and Cellular Biology, Siberian Branch of Russian Academy of Sciences, Novosibirsk 630090, Russia
- Altai State University, Barnaul 656000, Russia
| | - Lalji Singh
- CSIR-Centre for Cellular and Molecular Biology, Hyderabad 500 007, India
| | | | - Svante Pääbo
- Department of Evolutionary Genetics, Max Planck Institute for Evolutionary Anthropology, D-04103 Leipzig, Germany
| | - Janet Kelso
- Department of Evolutionary Genetics, Max Planck Institute for Evolutionary Anthropology, D-04103 Leipzig, Germany
| | - Nick Patterson
- Broad Institute of Harvard and MIT, Cambridge, Massachusetts 02142, USA
| | - David Reich
- Department of Genetics, Harvard Medical School, Boston, Massachusetts 02115, USA
- Broad Institute of Harvard and MIT, Cambridge, Massachusetts 02142, USA
- Howard Hughes Medical Institute, Harvard Medical School, Boston, Massachusetts 02115, USA
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36
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Fa JE, Olivero J, Farfán MA, Lewis J, Yasuoka H, Noss A, Hattori S, Hirai M, Kamgaing TOW, Carpaneto G, Germi F, Márquez AL, Duarte J, Duda R, Gallois S, Riddell M, Nasi R. Differences between Pygmy and Non-Pygmy Hunting in Congo Basin Forests. PLoS One 2016; 11:e0161703. [PMID: 27589384 PMCID: PMC5010184 DOI: 10.1371/journal.pone.0161703] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2016] [Accepted: 08/10/2016] [Indexed: 11/19/2022] Open
Abstract
We use data on game harvest from 60 Pygmy and non-Pygmy settlements in the Congo Basin forests to examine whether hunting patterns and prey profiles differ between the two hunter groups. For each group, we calculate hunted animal numbers and biomass available per inhabitant, P, per year (harvest rates) and killed per hunter, H, per year (extraction rates). We assess the impact of hunting of both hunter groups from estimates of numbers and biomass of prey species killed per square kilometre, and by examining the proportion of hunted taxa of low, medium and high population growth rates as a measure of their vulnerability to overhunting. We then map harvested biomass (kg-1P-1Yr-1) of bushmeat by Pygmies and non-Pygmies throughout the Congo Basin. Hunting patterns differ between Pygmies and non-Pygmies; Pygmies take larger and different prey and non-Pygmies sell more for profit. We show that non-Pygmies have a potentially more severe impact on prey populations than Pygmies. This is because non-Pygmies hunt a wider range of species, and twice as many animals are taken per square kilometre. Moreover, in non-Pygmy settlements there was a larger proportion of game taken of low population growth rate. Our harvest map shows that the non-Pygmy population may be responsible for 27 times more animals harvested than the Pygmy population. Such differences indicate that the intense competition that may arise from the more widespread commercial hunting by non-Pygmies is a far more important constraint and source of conflict than are protected areas.
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Affiliation(s)
- Julia E. Fa
- Division of Biology and Conservation Ecology, School of Science and the Environment, Manchester Metropolitan University, Manchester, M1 5GD, United Kingdom
- Center for International Forestry Research (CIFOR), CIFOR Headquarters, Bogor, 16115, Indonesia
| | - Jesús Olivero
- Grupo de Biogeografía, Diversidad y Conservación, Departamento de Biología Animal, Universidad de Málaga, Facultad de Ciencias, Campus de Teatinos s/n, 29071, Málaga, Spain
| | - Miguel Angel Farfán
- Grupo de Biogeografía, Diversidad y Conservación, Departamento de Biología Animal, Universidad de Málaga, Facultad de Ciencias, Campus de Teatinos s/n, 29071, Málaga, Spain
| | - Jerome Lewis
- Department of Anthropology, University College London, 14 Taviton Street, London, WC1H 0BW, United Kingdom
| | - Hirokazu Yasuoka
- Center for African Area Studies, Kyoto University, 46 Yoshida-Shimoadachi-cho, Sakyo-ku, Kyoto, 606–8501, Japan
| | - Andrew Noss
- Department of Geography, University of Florida, 3141 Turlington Hall, Gainesville, FL, 32611–7315, United States of America
| | - Shiho Hattori
- Faculty of International Studies, Tenri University, 1050 Somanouchi, Tenri City, Nara, 632–8510, Japan
| | - Masaaki Hirai
- Japan Forest Technology Association, 7 Rokubancho, Chiyoda-Ku, Tokyo, 102–0085, Japan
| | - Towa O. W. Kamgaing
- Center for African Area Studies, Kyoto University, 46 Yoshida-Shimoadachi-cho, Sakyo-ku, Kyoto, 606–8501, Japan
- Ministry of Forestry and Wildlife, P.O. Box 14794, Yaoundé, Cameroon
| | | | | | - Ana Luz Márquez
- Grupo de Biogeografía, Diversidad y Conservación, Departamento de Biología Animal, Universidad de Málaga, Facultad de Ciencias, Campus de Teatinos s/n, 29071, Málaga, Spain
| | | | - Romain Duda
- Ethnoecology Laboratory, Universitat Autònoma de Barcelona, 08193, Bellaterra, Barcelona, Spain
- Département Hommes, Natures, Sociétés MNHN—Musée de l'Homme 17 place du Trocadéro, 75116, Paris, France
| | - Sandrine Gallois
- Ethnoecology Laboratory, Universitat Autònoma de Barcelona, 08193, Bellaterra, Barcelona, Spain
- Département Hommes, Natures, Sociétés MNHN—Musée de l'Homme 17 place du Trocadéro, 75116, Paris, France
| | - Michael Riddell
- Bioclimate, Research and Development, UN House, 4 Hunter Square, Edinburgh, EH1 1QW, United Kingdom
| | - Robert Nasi
- Consultative Group on International Agricultural Research (CGIAR), CIFOR Headquarters, Jalan CIFOR, Situ Gede, Bogor, 16115, Indonesia
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37
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Dall'Ara I, Ghirotto S, Ingusci S, Bagarolo G, Bertolucci C, Barbujani G. Demographic history and adaptation account for clock gene diversity in humans. Heredity (Edinb) 2016; 117:165-72. [PMID: 27301334 DOI: 10.1038/hdy.2016.39] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2015] [Revised: 03/18/2016] [Accepted: 03/29/2016] [Indexed: 01/01/2023] Open
Abstract
Circadian clocks give rise to daily oscillations in behavior and physiological functions that often anticipate upcoming environmental changes generated by the Earth rotation. In model organisms a relationship exists between several genes affecting the circadian rhythms and latitude. We investigated the allele distributions at 116 000 single-nucleotide polymorphisms (SNPs) of 25 human clock and clock-related genes from the 1000Genomes Project, and at a reference data set of putatively neutral polymorphisms. The global genetic structure at the clock genes did not differ from that observed at the reference data set. We then tested for evidence of local adaptation searching for FST outliers under both an island and a hierarchical model, and for significant association between allele frequencies and environmental variables by a Bayesian approach. A total of 230 SNPs in 23 genes, or 84 SNPs in 19 genes, depending on the significance thresholds chosen, showed signs of local adaptation, whereas a maximum of 190 SNPs in 23 genes had significant covariance with one or more environmental variables. Only two SNPs from two genes (NPAS2 and AANAT) exhibit both elevated population differentiation and covariance with at least one environmental variable. We then checked whether the SNPs emerging from these analyses fall within a set of candidate SNPs associated with different chronotypes or sleep disorders. Correlation of five such SNPs with environmental variables supports a selective role of latitude or photoperiod, but certainly not a major one.
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Affiliation(s)
- I Dall'Ara
- Department of Life Sciences and Biotechnology, University of Ferrara, Ferrara, Italy
| | - S Ghirotto
- Department of Life Sciences and Biotechnology, University of Ferrara, Ferrara, Italy
| | - S Ingusci
- Department of Life Sciences and Biotechnology, University of Ferrara, Ferrara, Italy
| | - G Bagarolo
- Department of Life Sciences and Biotechnology, University of Ferrara, Ferrara, Italy
| | - C Bertolucci
- Department of Life Sciences and Biotechnology, University of Ferrara, Ferrara, Italy
| | - G Barbujani
- Department of Life Sciences and Biotechnology, University of Ferrara, Ferrara, Italy
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38
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The impact of agricultural emergence on the genetic history of African rainforest hunter-gatherers and agriculturalists. Nat Commun 2016; 5:3163. [PMID: 24495941 DOI: 10.1038/ncomms4163] [Citation(s) in RCA: 82] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2013] [Accepted: 12/20/2013] [Indexed: 11/09/2022] Open
Abstract
The emergence of agriculture in West-Central Africa approximately 5,000 years ago, profoundly modified the cultural landscape and mode of subsistence of most sub-Saharan populations. How this major innovation has had an impact on the genetic history of rainforest hunter-gatherers-historically referred to as 'pygmies'-and agriculturalists, however, remains poorly understood. Here we report genome-wide SNP data from these populations located west-to-east of the equatorial rainforest. We find that hunter-gathering populations present up to 50% of farmer genomic ancestry, and that substantial admixture began only within the last 1,000 years. Furthermore, we show that the historical population sizes characterizing these communities already differed before the introduction of agriculture. Our results suggest that the first socio-economic interactions between rainforest hunter-gatherers and farmers introduced by the spread of farming were not accompanied by immediate, extensive genetic exchanges and occurred on a backdrop of two groups already differentiated by their specialization in two ecotopes with differing carrying capacities.
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39
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Hsieh P, Woerner AE, Wall JD, Lachance J, Tishkoff SA, Gutenkunst RN, Hammer MF. Model-based analyses of whole-genome data reveal a complex evolutionary history involving archaic introgression in Central African Pygmies. Genome Res 2016; 26:291-300. [PMID: 26888264 PMCID: PMC4772012 DOI: 10.1101/gr.196634.115] [Citation(s) in RCA: 73] [Impact Index Per Article: 9.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2015] [Accepted: 01/19/2016] [Indexed: 12/25/2022]
Abstract
Comparisons of whole-genome sequences from ancient and contemporary samples have pointed to several instances of archaic admixture through interbreeding between the ancestors of modern non-Africans and now extinct hominids such as Neanderthals and Denisovans. One implication of these findings is that some adaptive features in contemporary humans may have entered the population via gene flow with archaic forms in Eurasia. Within Africa, fossil evidence suggests that anatomically modern humans (AMH) and various archaic forms coexisted for much of the last 200,000 yr; however, the absence of ancient DNA in Africa has limited our ability to make a direct comparison between archaic and modern human genomes. Here, we use statistical inference based on high coverage whole-genome data (greater than 60×) from contemporary African Pygmy hunter-gatherers as an alternative means to study the evolutionary history of the genus Homo. Using whole-genome simulations that consider demographic histories that include both isolation and gene flow with neighboring farming populations, our inference method rejects the hypothesis that the ancestors of AMH were genetically isolated in Africa, thus providing the first whole genome-level evidence of African archaic admixture. Our inferences also suggest a complex human evolutionary history in Africa, which involves at least a single admixture event from an unknown archaic population into the ancestors of AMH, likely within the last 30,000 yr.
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Affiliation(s)
- PingHsun Hsieh
- Department of Ecology and Evolutionary Biology, University of Arizona, Tucson, Arizona 85721, USA
| | - August E Woerner
- Graduate Interdisciplinary Program in Genetics, University of Arizona, Tucson, Arizona 85721, USA; Arizona Research Laboratories Division of Biotechnology, University of Arizona, Tucson, Arizona 85721, USA
| | - Jeffrey D Wall
- Institute for Human Genetics, University of California, San Francisco, California 94143, USA
| | - Joseph Lachance
- Department of Biology and Genetics, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA; Department of Biology, Georgia Institute of Technology, Atlanta, Georgia 30332, USA
| | - Sarah A Tishkoff
- Department of Biology and Genetics, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA
| | - Ryan N Gutenkunst
- Department of Molecular and Cellular Biology, University of Arizona, Tucson, Arizona 85721, USA
| | - Michael F Hammer
- Arizona Research Laboratories Division of Biotechnology, University of Arizona, Tucson, Arizona 85721, USA
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40
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Hsieh P, Veeramah KR, Lachance J, Tishkoff SA, Wall JD, Hammer MF, Gutenkunst RN. Whole-genome sequence analyses of Western Central African Pygmy hunter-gatherers reveal a complex demographic history and identify candidate genes under positive natural selection. Genome Res 2016; 26:279-90. [PMID: 26888263 PMCID: PMC4772011 DOI: 10.1101/gr.192971.115] [Citation(s) in RCA: 47] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2015] [Accepted: 01/07/2016] [Indexed: 12/20/2022]
Abstract
African Pygmies practicing a mobile hunter-gatherer lifestyle are phenotypically and genetically diverged from other anatomically modern humans, and they likely experienced strong selective pressures due to their unique lifestyle in the Central African rainforest. To identify genomic targets of adaptation, we sequenced the genomes of four Biaka Pygmies from the Central African Republic and jointly analyzed these data with the genome sequences of three Baka Pygmies from Cameroon and nine Yoruba famers. To account for the complex demographic history of these populations that includes both isolation and gene flow, we fit models using the joint allele frequency spectrum and validated them using independent approaches. Our two best-fit models both suggest ancient divergence between the ancestors of the farmers and Pygmies, 90,000 or 150,000 yr ago. We also find that bidirectional asymmetric gene flow is statistically better supported than a single pulse of unidirectional gene flow from farmers to Pygmies, as previously suggested. We then applied complementary statistics to scan the genome for evidence of selective sweeps and polygenic selection. We found that conventional statistical outlier approaches were biased toward identifying candidates in regions of high mutation or low recombination rate. To avoid this bias, we assigned P-values for candidates using whole-genome simulations incorporating demography and variation in both recombination and mutation rates. We found that genes and gene sets involved in muscle development, bone synthesis, immunity, reproduction, cell signaling and development, and energy metabolism are likely to be targets of positive natural selection in Western African Pygmies or their recent ancestors.
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Affiliation(s)
- PingHsun Hsieh
- Department of Ecology and Evolutionary Biology, University of Arizona, Tucson, Arizona 85721, USA
| | - Krishna R Veeramah
- Arizona Research Laboratories Division of Biotechnology, University of Arizona, Tucson, Arizona 85721, USA; Department of Ecology and Evolution, Stony Brook University, Stony Brook, New York 11794, USA
| | - Joseph Lachance
- Department of Biology and Genetics, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA; Department of Biology, Georgia Institute of Technology, Atlanta, Georgia 30332, USA
| | - Sarah A Tishkoff
- Department of Biology and Genetics, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA
| | - Jeffrey D Wall
- Institute for Human Genetics, University of California, San Francisco, California 94143, USA
| | - Michael F Hammer
- Department of Ecology and Evolutionary Biology, University of Arizona, Tucson, Arizona 85721, USA; Arizona Research Laboratories Division of Biotechnology, University of Arizona, Tucson, Arizona 85721, USA
| | - Ryan N Gutenkunst
- Department of Ecology and Evolutionary Biology, University of Arizona, Tucson, Arizona 85721, USA; Department of Molecular and Cellular Biology, University of Arizona, Tucson, Arizona 85721, USA
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41
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Abstract
Paul Verdu introduces the anthropology and genetics of African populations often summarised under the label 'Pygmy'.
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Affiliation(s)
- Paul Verdu
- CNRS/MNHN/University Paris Diderot/Sorbonne Paris Cité, UMR 7206 Ecoanthropology and Ethnobiology, Paris, France.
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42
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Fagny M, Patin E, MacIsaac JL, Rotival M, Flutre T, Jones MJ, Siddle KJ, Quach H, Harmant C, McEwen LM, Froment A, Heyer E, Gessain A, Betsem E, Mouguiama-Daouda P, Hombert JM, Perry GH, Barreiro LB, Kobor MS, Quintana-Murci L. The epigenomic landscape of African rainforest hunter-gatherers and farmers. Nat Commun 2015; 6:10047. [PMID: 26616214 PMCID: PMC4674682 DOI: 10.1038/ncomms10047] [Citation(s) in RCA: 65] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2015] [Accepted: 10/28/2015] [Indexed: 12/23/2022] Open
Abstract
The genetic history of African populations is increasingly well documented, yet their patterns of epigenomic variation remain uncharacterized. Moreover, the relative impacts of DNA sequence variation and temporal changes in lifestyle and habitat on the human epigenome remain unknown. Here we generate genome-wide genotype and DNA methylation profiles for 362 rainforest hunter-gatherers and sedentary farmers. We find that the current habitat and historical lifestyle of a population have similarly critical impacts on the methylome, but the biological functions affected strongly differ. Specifically, methylation variation associated with recent changes in habitat mostly concerns immune and cellular functions, whereas that associated with historical lifestyle affects developmental processes. Furthermore, methylation variation—particularly that correlated with historical lifestyle—shows strong associations with nearby genetic variants that, moreover, are enriched in signals of natural selection. Our work provides new insight into the genetic and environmental factors affecting the epigenomic landscape of human populations over time. Genetic and environmental factors affect genome-wide patterns of epigenetic variation. Here, the authors show that while current habitat and historical lifestyle impact the methylome of rainforest hunter-gatherers and sedentary farmers, the biological functions affected and the degree of genetic control differ.
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Affiliation(s)
- Maud Fagny
- Institut Pasteur, Unit of Human Evolutionary Genetics, Paris 75015, France.,Centre National de la Recherche Scientifique, URA3012, Paris 75015, France.,Université Pierre et Marie Curie, Cellule Pasteur UPMC, Paris 75015, France
| | - Etienne Patin
- Institut Pasteur, Unit of Human Evolutionary Genetics, Paris 75015, France.,Centre National de la Recherche Scientifique, URA3012, Paris 75015, France
| | - Julia L MacIsaac
- Centre for Molecular Medicine and Therapeutics, Child and Family Research Institute and Department of Medical Genetics, University of British Columbia, Vancouver, Canada BC V5Z 4H4
| | - Maxime Rotival
- Institut Pasteur, Unit of Human Evolutionary Genetics, Paris 75015, France.,Centre National de la Recherche Scientifique, URA3012, Paris 75015, France
| | | | - Meaghan J Jones
- Centre for Molecular Medicine and Therapeutics, Child and Family Research Institute and Department of Medical Genetics, University of British Columbia, Vancouver, Canada BC V5Z 4H4
| | - Katherine J Siddle
- Institut Pasteur, Unit of Human Evolutionary Genetics, Paris 75015, France.,Centre National de la Recherche Scientifique, URA3012, Paris 75015, France
| | - Hélène Quach
- Institut Pasteur, Unit of Human Evolutionary Genetics, Paris 75015, France.,Centre National de la Recherche Scientifique, URA3012, Paris 75015, France
| | - Christine Harmant
- Institut Pasteur, Unit of Human Evolutionary Genetics, Paris 75015, France.,Centre National de la Recherche Scientifique, URA3012, Paris 75015, France
| | - Lisa M McEwen
- Centre for Molecular Medicine and Therapeutics, Child and Family Research Institute and Department of Medical Genetics, University of British Columbia, Vancouver, Canada BC V5Z 4H4
| | - Alain Froment
- IRD-MNHN, Sorbonne Universités, UMR208, Paris 75005, France
| | - Evelyne Heyer
- CNRS, MNHN, Université Paris Diderot, Sorbonne Paris Cité, Sorbonne Université, UMR7206, Paris 75005, France
| | - Antoine Gessain
- Institut Pasteur, Unité d'Epidémiologie et Physiopathologie des Virus Oncogènes, Paris 75015, France
| | - Edouard Betsem
- Institut Pasteur, Unité d'Epidémiologie et Physiopathologie des Virus Oncogènes, Paris 75015, France.,Faculty of Medicine and Biomedical Sciences, University of Yaoundé I, BP1364 Yaoundé, Cameroon
| | - Patrick Mouguiama-Daouda
- Laboratoire Langue, Culture et Cognition (LCC), Université Omar Bongo, BP 13131 Libreville, Gabon
| | | | - George H Perry
- Departments of Anthropology and Biology, Pennsylvania State University, University Park, Pennsylvania 16802, USA
| | - Luis B Barreiro
- Université de Montréal, Centre de Recherche CHU Sainte-Justine, Montréal, Canada H3T 1C5
| | - Michael S Kobor
- Centre for Molecular Medicine and Therapeutics, Child and Family Research Institute and Department of Medical Genetics, University of British Columbia, Vancouver, Canada BC V5Z 4H4
| | - Lluis Quintana-Murci
- Institut Pasteur, Unit of Human Evolutionary Genetics, Paris 75015, France.,Centre National de la Recherche Scientifique, URA3012, Paris 75015, France
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43
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Morton ER, Lynch J, Froment A, Lafosse S, Heyer E, Przeworski M, Blekhman R, Ségurel L. Variation in Rural African Gut Microbiota Is Strongly Correlated with Colonization by Entamoeba and Subsistence. PLoS Genet 2015; 11:e1005658. [PMID: 26619199 PMCID: PMC4664238 DOI: 10.1371/journal.pgen.1005658] [Citation(s) in RCA: 136] [Impact Index Per Article: 15.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2015] [Accepted: 10/19/2015] [Indexed: 12/18/2022] Open
Abstract
The human gut microbiota is impacted by host nutrition and health status and therefore represents a potentially adaptive phenotype influenced by metabolic and immune constraints. Previous studies contrasting rural populations in developing countries to urban industrialized ones have shown that industrialization is strongly correlated with patterns in human gut microbiota; however, we know little about the relative contribution of factors such as climate, diet, medicine, hygiene practices, host genetics, and parasitism. Here, we focus on fine-scale comparisons of African rural populations in order to (i) contrast the gut microbiota of populations inhabiting similar environments but having different traditional subsistence modes and either shared or distinct genetic ancestry, and (ii) examine the relationship between gut parasites and bacterial communities. Characterizing the fecal microbiota of Pygmy hunter-gatherers as well as Bantu individuals from both farming and fishing populations in Southwest Cameroon, we found that the gut parasite Entamoeba is significantly correlated with microbiome composition and diversity. We show that across populations, colonization by this protozoa can be predicted with 79% accuracy based on the composition of an individual's gut microbiota, and that several of the taxa most important for distinguishing Entamoeba absence or presence are signature taxa for autoimmune disorders. We also found gut communities to vary significantly with subsistence mode, notably with some taxa previously shown to be enriched in other hunter-gatherers groups (in Tanzania and Peru) also discriminating hunter-gatherers from neighboring farming or fishing populations in Cameroon.
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Affiliation(s)
- Elise R. Morton
- Department of Genetics, Cell Biology, and Development, Department of Ecology, Evolution, and Behavior, University of Minnesota, Minneapolis, Minnesota, United States of America
| | - Joshua Lynch
- Department of Genetics, Cell Biology, and Development, Department of Ecology, Evolution, and Behavior, University of Minnesota, Minneapolis, Minnesota, United States of America
| | - Alain Froment
- Eco-anthropology and Ethnobiology, Museum national d'Histoire naturelle, Centre national de la recherche scientifique, University Denis Diderot, Paris, France
| | - Sophie Lafosse
- Eco-anthropology and Ethnobiology, Museum national d'Histoire naturelle, Centre national de la recherche scientifique, University Denis Diderot, Paris, France
| | - Evelyne Heyer
- Eco-anthropology and Ethnobiology, Museum national d'Histoire naturelle, Centre national de la recherche scientifique, University Denis Diderot, Paris, France
| | - Molly Przeworski
- Department of Biological Sciences, Columbia University, New York, New York, United States of America
| | - Ran Blekhman
- Department of Genetics, Cell Biology, and Development, Department of Ecology, Evolution, and Behavior, University of Minnesota, Minneapolis, Minnesota, United States of America
| | - Laure Ségurel
- Eco-anthropology and Ethnobiology, Museum national d'Histoire naturelle, Centre national de la recherche scientifique, University Denis Diderot, Paris, France
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44
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Campbell MC, Hirbo JB, Townsend JP, Tishkoff SA. The peopling of the African continent and the diaspora into the new world. Curr Opin Genet Dev 2015; 29:120-32. [PMID: 25461616 DOI: 10.1016/j.gde.2014.09.003] [Citation(s) in RCA: 39] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2014] [Revised: 09/03/2014] [Accepted: 09/05/2014] [Indexed: 12/22/2022]
Abstract
Africa is the birthplace of anatomically modern humans, and is the geographic origin of human migration across the globe within the last 100,000 years. The history of African populations has consisted of a number of demographic events that have influenced patterns of genetic and phenotypic variation across the continent. With the increasing amount of genomic data and corresponding developments in computational methods, researchers are able to explore long-standing evolutionary questions, expanding our understanding of human history within and outside of Africa. This review will summarize some of the recent findings regarding African demographic history, including the African Diaspora, and will briefly explore their implications for disease susceptibility in populations of African descent.
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Abstract
The African pygmy phenotype stems from genetic foundations and is considered to be the product of a disturbance in the growth hormone–insulin-like growth factor (GH–IGF) axis. However, when and how the pygmy phenotype is acquired during growth remains unknown. Here we describe growth patterns in Baka pygmies based on two longitudinal studies of individuals of known age, from the time of birth to the age of 25 years. Body size at birth among the Baka is within standard limits, but their growth rate slows significantly during the first two years of life. It then more or less follows the standard pattern, with a growth spurt at adolescence. Their life history variables do not allow the Baka to be distinguished from other populations. Therefore, the pygmy phenotype in the Baka is the result of a change in growth that occurs during infancy, which differentiates them from East African pygmies revealing convergent evolution. The African pygmies are known for their short stature, yet it is unclear when and how this phenotype is acquired during growth. Here the authors show that the pygmies' small stature results primarily from slow growth during infancy.
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Snell TL, Simmonds JG, Greenway AP. Ecopsychology and Evolutionary Psychology: Implications and Limitations of Habitat Selection Theory. ECOPSYCHOLOGY 2015. [DOI: 10.1089/eco.2014.0053] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
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Pugach I, Stoneking M. Genome-wide insights into the genetic history of human populations. INVESTIGATIVE GENETICS 2015; 6:6. [PMID: 25834724 PMCID: PMC4381409 DOI: 10.1186/s13323-015-0024-0] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/25/2014] [Accepted: 03/05/2015] [Indexed: 12/21/2022]
Abstract
Although mtDNA and the non-recombining Y chromosome (NRY) studies continue to provide valuable insights into the genetic history of human populations, recent technical, methodological and computational advances and the increasing availability of large-scale, genome-wide data from contemporary human populations around the world promise to reveal new aspects, resolve finer points, and provide a more detailed look at our past demographic history. Genome-wide data are particularly useful for inferring migrations, admixture, and fine structure, as well as for estimating population divergence and admixture times and fluctuations in effective population sizes. In this review, we highlight some of the stories that have emerged from the analyses of genome-wide SNP genotyping data concerning the human history of Southern Africa, India, Oceania, Island South East Asia, Europe and the Americas and comment on possible future study directions. We also discuss advantages and drawbacks of using SNP-arrays, with a particular focus on the ascertainment bias, and ways to circumvent it.
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Affiliation(s)
- Irina Pugach
- Department of Evolutionary Genetics, Max Planck Institute for Evolutionary Anthropology, Deutscher Platz 6, D04103 Leipzig, Germany
| | - Mark Stoneking
- Department of Evolutionary Genetics, Max Planck Institute for Evolutionary Anthropology, Deutscher Platz 6, D04103 Leipzig, Germany
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Palstra FP, Heyer E, Austerlitz F. Statistical inference on genetic data reveals the complex demographic history of human populations in central Asia. Mol Biol Evol 2015; 32:1411-24. [PMID: 25678589 DOI: 10.1093/molbev/msv030] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Abstract
The demographic history of modern humans constitutes a combination of expansions, colonizations, contractions, and remigrations. The advent of large scale genetic data combined with statistically refined methods facilitates inference of this complex history. Here we study the demographic history of two genetically admixed ethnic groups in Central Asia, an area characterized by high levels of genetic diversity and a history of recurrent immigration. Using Approximate Bayesian Computation, we infer that the timing of admixture markedly differs between the two groups. Admixture in the traditionally agricultural Tajiks could be dated back to the onset of the Neolithic transition in the region, whereas admixture in Kyrgyz is more recent, and may have involved the westward movement of Turkic peoples. These results are confirmed by a coalescent method that fits an isolation-with-migration model to the genetic data, with both Central Asian groups having received gene flow from the extremities of Eurasia. Interestingly, our analyses also uncover signatures of gene flow from Eastern to Western Eurasia during Paleolithic times. In conclusion, the high genetic diversity currently observed in these two Central Asian peoples most likely reflects the effects of recurrent immigration that likely started before historical times. Conversely, conquests during historical times may have had a relatively limited genetic impact. These results emphasize the need for a better understanding of the genetic consequences of transmission of culture and technological innovations, as well as those of invasions and conquests.
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Affiliation(s)
- Friso P Palstra
- Laboratoire d'Eco-Anthropologie et Ethnobiologie, UMR 7206, Muséum National d'Histoire Naturelle-Centre National de la Recherche Scientifique-Université Paris 7 Diderot, Paris, France
| | - Evelyne Heyer
- Laboratoire d'Eco-Anthropologie et Ethnobiologie, UMR 7206, Muséum National d'Histoire Naturelle-Centre National de la Recherche Scientifique-Université Paris 7 Diderot, Paris, France
| | - Frédéric Austerlitz
- Laboratoire d'Eco-Anthropologie et Ethnobiologie, UMR 7206, Muséum National d'Histoire Naturelle-Centre National de la Recherche Scientifique-Université Paris 7 Diderot, Paris, France
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Adaptive, convergent origins of the pygmy phenotype in African rainforest hunter-gatherers. Proc Natl Acad Sci U S A 2014; 111:E3596-603. [PMID: 25136101 DOI: 10.1073/pnas.1402875111] [Citation(s) in RCA: 73] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/27/2023] Open
Abstract
The evolutionary history of the human pygmy phenotype (small body size), a characteristic of African and Southeast Asian rainforest hunter-gatherers, is largely unknown. Here we use a genome-wide admixture mapping analysis to identify 16 genomic regions that are significantly associated with the pygmy phenotype in the Batwa, a rainforest hunter-gatherer population from Uganda (east central Africa). The identified genomic regions have multiple attributes that provide supporting evidence of genuine association with the pygmy phenotype, including enrichments for SNPs previously associated with stature variation in Europeans and for genes with growth hormone receptor and regulation functions. To test adaptive evolutionary hypotheses, we computed the haplotype-based integrated haplotype score (iHS) statistic and the level of population differentiation (FST) between the Batwa and their agricultural neighbors, the Bakiga, for each genomic SNP. Both |iHS| and FST values were significantly higher for SNPs within the Batwa pygmy phenotype-associated regions than the remainder of the genome, a signature of polygenic adaptation. In contrast, when we expanded our analysis to include Baka rainforest hunter-gatherers from Cameroon and Gabon (west central Africa) and Nzebi and Nzime neighboring agriculturalists, we did not observe elevated |iHS| or FST values in these genomic regions. Together, these results suggest adaptive and at least partially convergent origins of the pygmy phenotype even within Africa, supporting the hypothesis that small body size confers a selective advantage for tropical rainforest hunter-gatherers but raising questions about the antiquity of this behavior.
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Shriner D, Tekola-Ayele F, Adeyemo A, Rotimi CN. Genome-wide genotype and sequence-based reconstruction of the 140,000 year history of modern human ancestry. Sci Rep 2014; 4:6055. [PMID: 25116736 PMCID: PMC4131216 DOI: 10.1038/srep06055] [Citation(s) in RCA: 44] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2014] [Accepted: 07/28/2014] [Indexed: 12/11/2022] Open
Abstract
We investigated ancestry of 3,528 modern humans from 163 samples. We identified 19 ancestral components, with 94.4% of individuals showing mixed ancestry. After using whole genome sequences to correct for ascertainment biases in genome-wide genotype data, we dated the oldest divergence event to 140,000 years ago. We detected an Out-of-Africa migration 100,000–87,000 years ago, leading to peoples of the Americas, east and north Asia, and Oceania, followed by another migration 61,000–44,000 years ago, leading to peoples of the Caucasus, Europe, the Middle East, and south Asia. We dated eight divergence events to 33,000–20,000 years ago, coincident with the Last Glacial Maximum. We refined understanding of the ancestry of several ethno-linguistic groups, including African Americans, Ethiopians, the Kalash, Latin Americans, Mozabites, Pygmies, and Uygurs, as well as the CEU sample. Ubiquity of mixed ancestry emphasizes the importance of accounting for ancestry in history, forensics, and health.
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Affiliation(s)
- Daniel Shriner
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, Building 12A, Room 4047, 12 South Drive, Bethesda, Maryland 20892 USA
| | - Fasil Tekola-Ayele
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, Building 12A, Room 4047, 12 South Drive, Bethesda, Maryland 20892 USA
| | - Adebowale Adeyemo
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, Building 12A, Room 4047, 12 South Drive, Bethesda, Maryland 20892 USA
| | - Charles N Rotimi
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, Building 12A, Room 4047, 12 South Drive, Bethesda, Maryland 20892 USA
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