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Rodríguez-Frías F, Quer J, Tabernero D, Cortese MF, Garcia-Garcia S, Rando-Segura A, Pumarola T. Microorganisms as Shapers of Human Civilization, from Pandemics to Even Our Genomes: Villains or Friends? A Historical Approach. Microorganisms 2021; 9:2518. [PMID: 34946123 PMCID: PMC8708650 DOI: 10.3390/microorganisms9122518] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2021] [Revised: 11/23/2021] [Accepted: 11/30/2021] [Indexed: 02/07/2023] Open
Abstract
Universal history is characterized by continuous evolution, in which civilizations are born and die. This evolution is associated with multiple factors, among which the role of microorganisms is often overlooked. Viruses and bacteria have written or decisively contributed to terrible episodes of history, such as the Black Death in 14th century Europe, the annihilation of pre-Columbian American civilizations, and pandemics such as the 1918 Spanish flu or the current COVID-19 pandemic caused by the coronavirus SARS-CoV-2. Nevertheless, it is clear that we could not live in a world without these tiny beings. Endogenous retroviruses have been key to our evolution and for the regulation of gene expression, and the gut microbiota helps us digest compounds that we could not otherwise process. In addition, we have used microorganisms to preserve or prepare food for millennia and more recently to obtain drugs such as antibiotics or to develop recombinant DNA technologies. Due to the enormous importance of microorganisms for our survival, they have significantly influenced the population genetics of different human groups. This paper will review the role of microorganisms as "villains" who have been responsible for tremendous mortality throughout history but also as "friends" who help us survive and evolve.
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Affiliation(s)
- Francisco Rodríguez-Frías
- Clinical Biochemistry Research Group, Department of Biochemistry, Vall d’Hebron Institut Recerca-Hospital Universitari Vall d’Hebron, Universitat Autònoma de Barcelona, 08035 Barcelona, Spain; (M.F.C.); (S.G.-G.)
- Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas, Instituto de Salud Carlos III, 28029 Madrid, Spain;
- Liver Pathology Unit, Departments of Biochemistry and Microbiology, Hospital Universitari Vall d’Hebron, Universitat Autònoma de Barcelona, 08035 Barcelona, Spain;
| | - Josep Quer
- Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas, Instituto de Salud Carlos III, 28029 Madrid, Spain;
- Liver Unit, Liver Disease Laboratory-Viral Hepatitis, Vall d’Hebron Institut Recerca, Hospital Universitari Vall d’Hebron, Vall d’Hebron Barcelona Hospital Campus, 08035 Barcelona, Spain
| | - David Tabernero
- Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas, Instituto de Salud Carlos III, 28029 Madrid, Spain;
| | - Maria Francesca Cortese
- Clinical Biochemistry Research Group, Department of Biochemistry, Vall d’Hebron Institut Recerca-Hospital Universitari Vall d’Hebron, Universitat Autònoma de Barcelona, 08035 Barcelona, Spain; (M.F.C.); (S.G.-G.)
- Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas, Instituto de Salud Carlos III, 28029 Madrid, Spain;
| | - Selene Garcia-Garcia
- Clinical Biochemistry Research Group, Department of Biochemistry, Vall d’Hebron Institut Recerca-Hospital Universitari Vall d’Hebron, Universitat Autònoma de Barcelona, 08035 Barcelona, Spain; (M.F.C.); (S.G.-G.)
- Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas, Instituto de Salud Carlos III, 28029 Madrid, Spain;
| | - Ariadna Rando-Segura
- Liver Pathology Unit, Departments of Biochemistry and Microbiology, Hospital Universitari Vall d’Hebron, Universitat Autònoma de Barcelona, 08035 Barcelona, Spain;
- Department of Microbiology, Hospital Universitari Vall d’Hebron, Vall d’Hebron Barcelona Hospital Campus, Passeig Vall d’Hebron 119-129, 08035 Barcelona, Spain;
| | - Tomas Pumarola
- Department of Microbiology, Hospital Universitari Vall d’Hebron, Vall d’Hebron Barcelona Hospital Campus, Passeig Vall d’Hebron 119-129, 08035 Barcelona, Spain;
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Sohail M, Izarraras-Gomez A, Ortega-Del Vecchyo D. Populations, Traits, and Their Spatial Structure in Humans. Genome Biol Evol 2021; 13:evab272. [PMID: 34894236 PMCID: PMC8715524 DOI: 10.1093/gbe/evab272] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/06/2021] [Indexed: 11/16/2022] Open
Abstract
The spatial distribution of genetic variants is jointly determined by geography, past demographic processes, natural selection, and its interplay with environmental variation. A fraction of these genetic variants are "causal alleles" that affect the manifestation of a complex trait. The effect exerted by these causal alleles on complex traits can be independent or dependent on the environment. Understanding the evolutionary processes that shape the spatial structure of causal alleles is key to comprehend the spatial distribution of complex traits. Natural selection, past population size changes, range expansions, consanguinity, assortative mating, archaic introgression, admixture, and the environment can alter the frequencies, effect sizes, and heterozygosities of causal alleles. This provides a genetic axis along which complex traits can vary. However, complex traits also vary along biogeographical and sociocultural axes which are often correlated with genetic axes in complex ways. The purpose of this review is to consider these genetic and environmental axes in concert and examine the ways they can help us decipher the variation in complex traits that is visible in humans today. This initiative necessarily implies a discussion of populations, traits, the ability to infer and interpret "genetic" components of complex traits, and how these have been impacted by adaptive events. In this review, we provide a history-aware discussion on these topics using both the recent and more distant past of our academic discipline and its relevant contexts.
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Affiliation(s)
- Mashaal Sohail
- Department of Human Genetics, University of Chicago, USA
- Centro de Ciencias Genómicas (CCG), Universidad Nacional Autónoma de México (UNAM), Cuernavaca, Morelos, México
| | - Alan Izarraras-Gomez
- Laboratorio Internacional de Investigación sobre el Genoma Humano (LIIGH), Universidad Nacional Autónoma de México (UNAM), Juriquilla, Querétaro, México
| | - Diego Ortega-Del Vecchyo
- Laboratorio Internacional de Investigación sobre el Genoma Humano (LIIGH), Universidad Nacional Autónoma de México (UNAM), Juriquilla, Querétaro, México
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53
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Levi G, de Lombares C, Giuliani C, Iannuzzi V, Aouci R, Garagnani P, Franceschi C, Grimaud-Hervé D, Narboux-Nême N. DLX5/6 GABAergic Expression Affects Social Vocalization: Implications for Human Evolution. Mol Biol Evol 2021; 38:4748-4764. [PMID: 34132815 PMCID: PMC8557472 DOI: 10.1093/molbev/msab181] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
Abstract
DLX5 and DLX6 are two closely related transcription factors involved in brain development and in GABAergic differentiation. The DLX5/6 locus is regulated by FoxP2, a gene involved in language evolution and has been associated with neurodevelopmental disorders and mental retardation. Targeted inactivation of Dlx5/6 in mouse GABAergic neurons (Dlx5/6VgatCre mice) results in behavioral and metabolic phenotypes notably increasing lifespan by 33%. Here, we show that Dlx5/6VgatCre mice present a hyper-vocalization and hyper-socialization phenotype. While only 7% of control mice emitted more than 700 vocalizations/10 min, 30% and 56% of heterozygous or homozygous Dlx5/6VgatCre mice emitted more than 700 and up to 1,400 calls/10 min with a higher proportion of complex and modulated calls. Hyper-vocalizing animals were more sociable: the time spent in dynamic interactions with an unknown visitor was more than doubled compared to low-vocalizing individuals. The characters affected by Dlx5/6 in the mouse (sociability, vocalization, skull, and brain shape…) overlap those affected in the "domestication syndrome". We therefore explored the possibility that DLX5/6 played a role in human evolution and "self-domestication" comparing DLX5/6 genomic regions from Neanderthal and modern humans. We identified an introgressed Neanderthal haplotype (DLX5/6-N-Haplotype) present in 12.6% of European individuals that covers DLX5/6 coding and regulatory sequences. The DLX5/6-N-Haplotype includes the binding site for GTF2I, a gene associated with Williams-Beuren syndrome, a hyper-sociability and hyper-vocalization neurodevelopmental disorder. The DLX5/6-N-Haplotype is significantly underrepresented in semi-supercentenarians (>105 years of age), a well-established human model of healthy aging and longevity, suggesting their involvement in the coevolution of longevity, sociability, and speech.
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Affiliation(s)
- Giovanni Levi
- Physiologie Moléculaire et Adaptation, CNRS UMR7221, Département AVIV, Muséum National d'Histoire Naturelle, Paris, France
| | - Camille de Lombares
- Physiologie Moléculaire et Adaptation, CNRS UMR7221, Département AVIV, Muséum National d'Histoire Naturelle, Paris, France
| | - Cristina Giuliani
- Laboratory of Molecular Anthropology & Centre for Genome Biology, Department of Biological, Geological and Environmental Sciences, University of Bologna, Italy
| | - Vincenzo Iannuzzi
- Alma Mater Research Institute on Global Challenges and Climate Change, University of Bologna, Italy
| | - Rym Aouci
- Physiologie Moléculaire et Adaptation, CNRS UMR7221, Département AVIV, Muséum National d'Histoire Naturelle, Paris, France
| | - Paolo Garagnani
- Department of Experimental, Diagnostic and Specialty Medicine (DIMES), University of Bologna, Bologna, Italy
- Clinical Chemistry, Department of Laboratory Medicine, Karolinska Institutet at Huddinge University Hospital, Stockholm, Sweden
| | - Claudio Franceschi
- Department of Experimental, Diagnostic and Specialty Medicine (DIMES), University of Bologna, Bologna, Italy
- Institute of Information Technologies, Mathematics and Mechanics, Lobachevsky University, Nizhniy Novgorod, Russia
| | - Dominique Grimaud-Hervé
- Histoire Naturelle de l’Homme Préhistorique, CNRS UMR 7194, Département H&E, Muséum National d'Histoire Naturelle, Paris, France
| | - Nicolas Narboux-Nême
- Physiologie Moléculaire et Adaptation, CNRS UMR7221, Département AVIV, Muséum National d'Histoire Naturelle, Paris, France
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Irving-Pease EK, Muktupavela R, Dannemann M, Racimo F. Quantitative Human Paleogenetics: What can Ancient DNA Tell us About Complex Trait Evolution? Front Genet 2021; 12:703541. [PMID: 34422004 PMCID: PMC8371751 DOI: 10.3389/fgene.2021.703541] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2021] [Accepted: 07/08/2021] [Indexed: 12/13/2022] Open
Abstract
Genetic association data from national biobanks and large-scale association studies have provided new prospects for understanding the genetic evolution of complex traits and diseases in humans. In turn, genomes from ancient human archaeological remains are now easier than ever to obtain, and provide a direct window into changes in frequencies of trait-associated alleles in the past. This has generated a new wave of studies aiming to analyse the genetic component of traits in historic and prehistoric times using ancient DNA, and to determine whether any such traits were subject to natural selection. In humans, however, issues about the portability and robustness of complex trait inference across different populations are particularly concerning when predictions are extended to individuals that died thousands of years ago, and for which little, if any, phenotypic validation is possible. In this review, we discuss the advantages of incorporating ancient genomes into studies of trait-associated variants, the need for models that can better accommodate ancient genomes into quantitative genetic frameworks, and the existing limits to inferences about complex trait evolution, particularly with respect to past populations.
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Affiliation(s)
- Evan K. Irving-Pease
- Lundbeck Foundation GeoGenetics Centre, GLOBE Institute, University of Copenhagen, Copenhagen, Denmark
| | - Rasa Muktupavela
- Lundbeck Foundation GeoGenetics Centre, GLOBE Institute, University of Copenhagen, Copenhagen, Denmark
| | - Michael Dannemann
- Center for Genomics, Evolution and Medicine, Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Fernando Racimo
- Lundbeck Foundation GeoGenetics Centre, GLOBE Institute, University of Copenhagen, Copenhagen, Denmark
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55
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McArthur E, Rinker DC, Capra JA. Quantifying the contribution of Neanderthal introgression to the heritability of complex traits. Nat Commun 2021; 12:4481. [PMID: 34294692 PMCID: PMC8298587 DOI: 10.1038/s41467-021-24582-y] [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: 06/19/2020] [Accepted: 06/24/2021] [Indexed: 11/15/2022] Open
Abstract
Eurasians have ~2% Neanderthal ancestry, but we lack a comprehensive understanding of the genome-wide influence of Neanderthal introgression on modern human diseases and traits. Here, we quantify the contribution of introgressed alleles to the heritability of more than 400 diverse traits. We show that genomic regions in which detectable Neanderthal ancestry remains are depleted of heritability for all traits considered, except those related to skin and hair. Introgressed variants themselves are also depleted for contributions to the heritability of most traits. However, introgressed variants shared across multiple Neanderthal populations are enriched for heritability and have consistent directions of effect on several traits with potential relevance to human adaptation to non-African environments, including hair and skin traits, autoimmunity, chronotype, bone density, lung capacity, and menopause age. Integrating our results, we propose a model in which selection against introgressed functional variation was the dominant trend (especially for cognitive traits); however, for a few traits, introgressed variants provided beneficial variation via uni-directional (e.g., lightening skin color) or bi-directional (e.g., modulating immune response) effects.
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Affiliation(s)
- Evonne McArthur
- Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN, 37235, USA
| | - David C Rinker
- Department of Biological Sciences, Vanderbilt University, Nashville, TN, 37235, USA
| | - John A Capra
- Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN, 37235, USA.
- Department of Biological Sciences, Vanderbilt University, Nashville, TN, 37235, USA.
- Bakar Computational Health Sciences Institute and Department of Epidemiology and Statistics, University of California San Francisco, San Francisco, CA, 94107, USA.
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56
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Hollox EJ, Zuccherato LW, Tucci S. Genome structural variation in human evolution. Trends Genet 2021; 38:45-58. [PMID: 34284881 DOI: 10.1016/j.tig.2021.06.015] [Citation(s) in RCA: 44] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2021] [Revised: 06/21/2021] [Accepted: 06/22/2021] [Indexed: 01/01/2023]
Abstract
Structural variation (SV) is a large difference (typically >100 bp) in the genomic structure of two genomes and includes both copy number variation and variation that does not change copy number of a genomic region, such as an inversion. Improved reference genomes, combined with widespread genome sequencing using short-read sequencing technology, and increasingly using long-read sequencing, have reignited interest in SV. Recent large-scale studies and functional focused analyses have highlighted the role of SV in human evolution. In this review, we highlight human-specific SVs involved in changes in the brain, population-specific SVs that affect response to the environment, including adaptation to diet and infectious diseases, and summarise the contribution of archaic hominin admixture to present-day human SV.
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Affiliation(s)
- Edward J Hollox
- Department of Genetics and Genome Biology, University of Leicester, UK.
| | - Luciana W Zuccherato
- Núcleo de Ensino e Pesquisa, Instituto Mário Penna, Belo Horizonte, Brazil; Departmento de Bioquímica e Imunologia, Universidade de Minas Gerais, Belo Horizonte, Brazil
| | - Serena Tucci
- Department of Anthropology, Yale University, New Haven, CT, USA
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57
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Ahlquist KD, Bañuelos MM, Funk A, Lai J, Rong S, Villanea FA, Witt KE. Our Tangled Family Tree: New Genomic Methods Offer Insight into the Legacy of Archaic Admixture. Genome Biol Evol 2021; 13:evab115. [PMID: 34028527 PMCID: PMC8480178 DOI: 10.1093/gbe/evab115] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2021] [Revised: 05/07/2021] [Accepted: 05/22/2021] [Indexed: 11/30/2022] Open
Abstract
The archaic ancestry present in the human genome has captured the imagination of both scientists and the wider public in recent years. This excitement is the result of new studies pushing the envelope of what we can learn from the archaic genetic information that has survived for over 50,000 years in the human genome. Here, we review the most recent ten years of literature on the topic of archaic introgression, including the current state of knowledge on Neanderthal and Denisovan introgression, as well as introgression from other as-yet unidentified archaic populations. We focus this review on four topics: 1) a reimagining of human demographic history, including evidence for multiple admixture events between modern humans, Neanderthals, Denisovans, and other archaic populations; 2) state-of-the-art methods for detecting archaic ancestry in population-level genomic data; 3) how these novel methods can detect archaic introgression in modern African populations; and 4) the functional consequences of archaic gene variants, including how those variants were co-opted into novel function in modern human populations. The goal of this review is to provide a simple-to-access reference for the relevant methods and novel data, which has changed our understanding of the relationship between our species and its siblings. This body of literature reveals the large degree to which the genetic legacy of these extinct hominins has been integrated into the human populations of today.
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Affiliation(s)
- K D Ahlquist
- Center for Computational Molecular Biology, Brown University, Providence, Rhode Island, USA
- Department of Molecular Biology, Cell Biology, and Biochemistry, Brown University, Providence, Rhode Island, USA
| | - Mayra M Bañuelos
- Center for Computational Molecular Biology, Brown University, Providence, Rhode Island, USA
- Department of Molecular Biology, Cell Biology, and Biochemistry, Brown University, Providence, Rhode Island, USA
| | - Alyssa Funk
- Center for Computational Molecular Biology, Brown University, Providence, Rhode Island, USA
- Department of Molecular Biology, Cell Biology, and Biochemistry, Brown University, Providence, Rhode Island, USA
| | - Jiaying Lai
- Center for Computational Molecular Biology, Brown University, Providence, Rhode Island, USA
- Brown Center for Biomedical Informatics, Brown University, Providence, Rhode Island, USA
| | - Stephen Rong
- Center for Computational Molecular Biology, Brown University, Providence, Rhode Island, USA
- Department of Molecular Biology, Cell Biology, and Biochemistry, Brown University, Providence, Rhode Island, USA
| | - Fernando A Villanea
- Center for Computational Molecular Biology, Brown University, Providence, Rhode Island, USA
- Department of Anthropology, University of Colorado Boulder, Colorado, USA
| | - Kelsey E Witt
- Center for Computational Molecular Biology, Brown University, Providence, Rhode Island, USA
- Department of Ecology and Evolutionary Biology, Brown University, Providence, Rhode Island, USA
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58
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Gregory MD, Eisenberg DP, Hamborg M, Kippenhan JS, Kohn P, Kolachana B, Dickinson D, Berman KF. Neanderthal-derived genetic variation in living humans relates to schizophrenia diagnosis, to psychotic symptom severity, and to dopamine synthesis. Am J Med Genet B Neuropsychiatr Genet 2021; 186:329-338. [PMID: 34487600 PMCID: PMC8454493 DOI: 10.1002/ajmg.b.32872] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/24/2021] [Revised: 07/30/2021] [Accepted: 08/10/2021] [Indexed: 11/12/2022]
Abstract
Schizophrenia has been hypothesized to be a human-specific condition, but experimental approaches to testing this idea have been limited. Because Neanderthals, our closest evolutionary relatives, interbred with modern humans prior to their disappearance from the fossil record, leaving a residual echo that survives in our DNA today, we leveraged new discoveries about ancient hominid DNA to explore this hypothesis in living people in three converging ways. First, in four independent case-control datasets totaling 9,362 individuals, individuals with schizophrenia had less Neanderthal-derived genetic variation than controls (p = .044). Second, in 49 unmedicated inpatients with schizophrenia, having more Neanderthal admixture predicted less severe positive symptoms (p = .046). Finally, using 18 F-fluorodopa PET scanning in 172 healthy individuals, having greater Neanderthal introgression was significantly associated with lower dopamine synthesis capacity in the striatum and pons (p's < 2 × 10-5 ), which is fundamentally important in the pathophysiology and treatment of psychosis. These results may help to elucidate the evolutionary history of a devastating neuropsychiatric disease by supporting the notion of schizophrenia as a human-specific condition. Additionally, the relationship between Neanderthal admixture and dopamine function suggests a potential mechanism whereby Neanderthal admixture may have affected our gene pool to alter schizophrenia risk and/or course.
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Affiliation(s)
- Michael D. Gregory
- Section on Integrative Neuroimaging, Clinical and Translational Neuroscience Branch, National Institute of Mental Health, Intramural Research Program, National Institutes of Health, Bethesda, MD, USA
| | - Daniel P. Eisenberg
- Section on Integrative Neuroimaging, Clinical and Translational Neuroscience Branch, National Institute of Mental Health, Intramural Research Program, National Institutes of Health, Bethesda, MD, USA
| | - Madeline Hamborg
- Section on Integrative Neuroimaging, Clinical and Translational Neuroscience Branch, National Institute of Mental Health, Intramural Research Program, National Institutes of Health, Bethesda, MD, USA
| | - J. Shane Kippenhan
- Section on Integrative Neuroimaging, Clinical and Translational Neuroscience Branch, National Institute of Mental Health, Intramural Research Program, National Institutes of Health, Bethesda, MD, USA
| | - Philip Kohn
- Section on Integrative Neuroimaging, Clinical and Translational Neuroscience Branch, National Institute of Mental Health, Intramural Research Program, National Institutes of Health, Bethesda, MD, USA
| | - Bhaskar Kolachana
- Human Brain Collection Core, National Institute of Mental Health, Intramural Research Program, National Institutes of Health, Bethesda, MD, USA
| | - Dwight Dickinson
- Psychosis and Cognitive Studies Section, Clinical and Translational Neuroscience Branch, National Institute of Mental Health, Intramural Research Program, National Institutes of Health, Bethesda, MD, USA
| | - Karen F. Berman
- Section on Integrative Neuroimaging, Clinical and Translational Neuroscience Branch, National Institute of Mental Health, Intramural Research Program, National Institutes of Health, Bethesda, MD, USA
- Psychosis and Cognitive Studies Section, Clinical and Translational Neuroscience Branch, National Institute of Mental Health, Intramural Research Program, National Institutes of Health, Bethesda, MD, USA
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59
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Abstract
Recent studies suggest that admixture with archaic hominins played an important role in facilitating biological adaptations to new environments. For example, interbreeding with Denisovans facilitated the adaptation to high-altitude environments on the Tibetan Plateau. Specifically, the EPAS1 gene, a transcription factor that regulates the response to hypoxia, exhibits strong signatures of both positive selection and introgression from Denisovans in Tibetan individuals. Interestingly, despite being geographically closer to the Denisova Cave, East Asian populations do not harbor as much Denisovan ancestry as populations from Melanesia. Recently, two studies have suggested two independent waves of Denisovan admixture into East Asians, one of which is shared with South Asians and Oceanians. Here, we leverage data from EPAS1 in 78 Tibetan individuals to interrogate which of these two introgression events introduced the EPAS1 beneficial sequence into the ancestral population of Tibetans, and we use the distribution of introgressed segment lengths at this locus to infer the timing of the introgression and selection event. We find that the introgression event unique to East Asians most likely introduced the beneficial haplotype into the ancestral population of Tibetans around 48,700 (16,000-59,500) y ago, and selection started around 9,000 (2,500-42,000) y ago. Our estimates suggest that one of the most convincing examples of adaptive introgression is in fact selection acting on standing archaic variation.
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60
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Gopalan S, Atkinson EG, Buck LT, Weaver TD, Henn BM. Inferring archaic introgression from hominin genetic data. Evol Anthropol 2021; 30:199-220. [PMID: 33951239 PMCID: PMC8360192 DOI: 10.1002/evan.21895] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2019] [Revised: 08/03/2020] [Accepted: 03/29/2021] [Indexed: 01/05/2023]
Abstract
Questions surrounding the timing, extent, and evolutionary consequences of archaic admixture into human populations have a long history in evolutionary anthropology. More recently, advances in human genetics, particularly in the field of ancient DNA, have shed new light on the question of whether or not Homo sapiens interbred with other hominin groups. By the late 1990s, published genetic work had largely concluded that archaic groups made no lasting genetic contribution to modern humans; less than a decade later, this conclusion was reversed following the successful DNA sequencing of an ancient Neanderthal. This reversal of consensus is noteworthy, but the reasoning behind it is not widely understood across all academic communities. There remains a communication gap between population geneticists and paleoanthropologists. In this review, we endeavor to bridge this gap by outlining how technological advancements, new statistical methods, and notable controversies ultimately led to the current consensus.
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Affiliation(s)
- Shyamalika Gopalan
- Department of Ecology and Evolution, Stony Brook University, Stony Brook, New York, USA.,Department of Evolutionary Anthropology, Duke University, Durham, North Carolina, USA
| | - Elizabeth G Atkinson
- Department of Ecology and Evolution, Stony Brook University, Stony Brook, New York, USA.,Analytic and Translational Genetics Unit, Massachusetts General Hospital and Stanley Center for Psychiatric Research, Broad Institute, Boston, Massachusetts, USA
| | - Laura T Buck
- Research Centre in Evolutionary Anthropology and Palaeoecology, Liverpool John Moores University, Liverpool, UK
| | - Timothy D Weaver
- Department of Anthropology, University of California, Davis, California, USA
| | - Brenna M Henn
- Department of Ecology and Evolution, Stony Brook University, Stony Brook, New York, USA.,Department of Anthropology, University of California, Davis, California, USA.,UC Davis Genome Center, University of California, Davis, California, USA
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61
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Hale AT, Bastarache L, Morales DM, Wellons JC, Limbrick DD, Gamazon ER. Multi-omic analysis elucidates the genetic basis of hydrocephalus. Cell Rep 2021; 35:109085. [PMID: 33951428 PMCID: PMC8124085 DOI: 10.1016/j.celrep.2021.109085] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2019] [Revised: 07/01/2019] [Accepted: 04/14/2021] [Indexed: 11/17/2022] Open
Abstract
We conducted PrediXcan analysis of hydrocephalus risk in ten neurological tissues and whole blood. Decreased expression of MAEL in the brain was significantly associated (Bonferroni-adjusted p < 0.05) with hydrocephalus. PrediXcan analysis of brain imaging and genomics data in the independent UK Biobank (N = 8,428) revealed that MAEL expression in the frontal cortex is associated with white matter and total brain volumes. Among the top differentially expressed genes in brain, we observed a significant enrichment for gene-level associations with these structural phenotypes, suggesting an effect on disease risk through regulation of brain structure and integrity. We found additional support for these genes through analysis of the choroid plexus transcriptome of a murine model of hydrocephalus. Finally, differential protein expression analysis in patient cerebrospinal fluid recapitulated disease-associated expression changes in neurological tissues, but not in whole blood. Our findings provide convergent evidence highlighting the importance of tissue-specific pathways and mechanisms in the pathophysiology of hydrocephalus.
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Affiliation(s)
- Andrew T Hale
- Vanderbilt University School of Medicine, Medical Scientist Training Program, Nashville, TN 37232, USA; Division of Genetic Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN 37232, USA; Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN 37232, USA.
| | - Lisa Bastarache
- Department of Bioinformatics, Vanderbilt University School of Medicine, Nashville, TN 37232, USA
| | - Diego M Morales
- Division of Pediatric Neurosurgery, St. Louis Children's Hospital, St. Louis, MO 63110, USA
| | - John C Wellons
- Division of Pediatric Neurosurgery, Monroe Carell Jr. Children's Hospital of Vanderbilt University, Nashville, TN 37232, USA
| | - David D Limbrick
- Division of Pediatric Neurosurgery, St. Louis Children's Hospital, St. Louis, MO 63110, USA
| | - Eric R Gamazon
- Division of Genetic Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN 37232, USA; Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN 37232, USA; Data Science Institute, Vanderbilt University, Nashville, TN 37232, USA; Clare Hall, University of Cambridge, Cambridge CB3 9AL, UK; MRC Epidemiology Unit, University of Cambridge, Cambridge CB3 9AL, UK.
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62
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Benton ML, Abraham A, LaBella AL, Abbot P, Rokas A, Capra JA. The influence of evolutionary history on human health and disease. Nat Rev Genet 2021; 22:269-283. [PMID: 33408383 PMCID: PMC7787134 DOI: 10.1038/s41576-020-00305-9] [Citation(s) in RCA: 135] [Impact Index Per Article: 33.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/26/2020] [Indexed: 01/29/2023]
Abstract
Nearly all genetic variants that influence disease risk have human-specific origins; however, the systems they influence have ancient roots that often trace back to evolutionary events long before the origin of humans. Here, we review how advances in our understanding of the genetic architectures of diseases, recent human evolution and deep evolutionary history can help explain how and why humans in modern environments become ill. Human populations exhibit differences in the prevalence of many common and rare genetic diseases. These differences are largely the result of the diverse environmental, cultural, demographic and genetic histories of modern human populations. Synthesizing our growing knowledge of evolutionary history with genetic medicine, while accounting for environmental and social factors, will help to achieve the promise of personalized genomics and realize the potential hidden in an individual's DNA sequence to guide clinical decisions. In short, precision medicine is fundamentally evolutionary medicine, and integration of evolutionary perspectives into the clinic will support the realization of its full potential.
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Affiliation(s)
- Mary Lauren Benton
- Department of Biomedical Informatics, Vanderbilt University School of Medicine, Nashville, TN, USA
- Department of Computer Science, Baylor University, Waco, TX, USA
| | - Abin Abraham
- Vanderbilt Genetics Institute, Vanderbilt University, Nashville, TN, USA
- Vanderbilt University Medical Center, Vanderbilt University, Nashville, TN, USA
| | - Abigail L LaBella
- Department of Biological Sciences, Vanderbilt University, Nashville, TN, USA
| | - Patrick Abbot
- Department of Biological Sciences, Vanderbilt University, Nashville, TN, USA
| | - Antonis Rokas
- Department of Biomedical Informatics, Vanderbilt University School of Medicine, Nashville, TN, USA
- Vanderbilt Genetics Institute, Vanderbilt University, Nashville, TN, USA
- Department of Biological Sciences, Vanderbilt University, Nashville, TN, USA
| | - John A Capra
- Department of Biomedical Informatics, Vanderbilt University School of Medicine, Nashville, TN, USA.
- Department of Biological Sciences, Vanderbilt University, Nashville, TN, USA.
- Bakar Computational Health Sciences Institute and Department of Epidemiology and Biostatistics, University of California, San Francisco, CA, USA.
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63
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Reinscheid RK, Mafessoni F, Lüttjohann A, Jüngling K, Pape HC, Schulz S. Neandertal introgression and accumulation of hypomorphic mutations in the neuropeptide S (NPS) system promote attenuated functionality. Peptides 2021; 138:170506. [PMID: 33556445 DOI: 10.1016/j.peptides.2021.170506] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/15/2020] [Revised: 01/14/2021] [Accepted: 02/03/2021] [Indexed: 12/21/2022]
Abstract
The neuropeptide S (NPS) system plays an important role in fear and fear memory processing but has also been associated with allergic and inflammatory diseases. Genes for NPS and its receptor NPSR1 are found in all tetrapods. Compared to non-human primates, several non-synonymous single-nucleotide polymorphisms (SNPs) occur in both human genes that collectively result in functional attenuation, suggesting adaptive mechanisms in a human context. To investigate historic and geographic origins of these hypomorphic mutations and explore genetic signs of selection, we analyzed ancient genomes and worldwide genotype frequencies of four prototypic SNPs in the NPS system. Neandertal and Denisovan genomes contain exclusively ancestral alleles for NPSR1 while all derived alleles occur in ancient genomes of anatomically modern humans, indicating that they arose in modern Homo sapiens. Worldwide genotype frequencies for three hypomorphic NPSR1 SNPs show significant regional homogeneity but follow a gradient towards increasing derived allele frequencies that supports an out-of-Africa scenario. Increased density of high-frequency polymorphisms around the three NPSR1 loci suggests weak or possibly balancing selection. A hypomorphic mutation in the NPS precursor, however, was detected at high frequency in Eurasian Neandertal genomes and shows genetic signatures indicating that it was introgressed into the human gene pool, particularly in Southern Europe, by interbreeding with Neandertals. We discuss potential evolutionary scenarios including behavior and immune-based natural selection.
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Affiliation(s)
- Rainer K Reinscheid
- Institute of Pharmacology & Toxicology, Friedrich-Schiller-University, Jena, Germany; Institute of Physiology I, Westfälische-Wilhelms-University, Münster, Germany.
| | | | - Annika Lüttjohann
- Institute of Physiology I, Westfälische-Wilhelms-University, Münster, Germany
| | - Kay Jüngling
- Institute of Physiology I, Westfälische-Wilhelms-University, Münster, Germany
| | - Hans-Christian Pape
- Institute of Physiology I, Westfälische-Wilhelms-University, Münster, Germany
| | - Stefan Schulz
- Institute of Pharmacology & Toxicology, Friedrich-Schiller-University, Jena, Germany
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64
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Choin J, Mendoza-Revilla J, Arauna LR, Cuadros-Espinoza S, Cassar O, Larena M, Ko AMS, Harmant C, Laurent R, Verdu P, Laval G, Boland A, Olaso R, Deleuze JF, Valentin F, Ko YC, Jakobsson M, Gessain A, Excoffier L, Stoneking M, Patin E, Quintana-Murci L. Genomic insights into population history and biological adaptation in Oceania. Nature 2021; 592:583-589. [PMID: 33854233 DOI: 10.1038/s41586-021-03236-5] [Citation(s) in RCA: 78] [Impact Index Per Article: 19.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2020] [Accepted: 01/13/2021] [Indexed: 12/27/2022]
Abstract
The Pacific region is of major importance for addressing questions regarding human dispersals, interactions with archaic hominins and natural selection processes1. However, the demographic and adaptive history of Oceanian populations remains largely uncharacterized. Here we report high-coverage genomes of 317 individuals from 20 populations from the Pacific region. We find that the ancestors of Papuan-related ('Near Oceanian') groups underwent a strong bottleneck before the settlement of the region, and separated around 20,000-40,000 years ago. We infer that the East Asian ancestors of Pacific populations may have diverged from Taiwanese Indigenous peoples before the Neolithic expansion, which is thought to have started from Taiwan around 5,000 years ago2-4. Additionally, this dispersal was not followed by an immediate, single admixture event with Near Oceanian populations, but involved recurrent episodes of genetic interactions. Our analyses reveal marked differences in the proportion and nature of Denisovan heritage among Pacific groups, suggesting that independent interbreeding with highly structured archaic populations occurred. Furthermore, whereas introgression of Neanderthal genetic information facilitated the adaptation of modern humans related to multiple phenotypes (for example, metabolism, pigmentation and neuronal development), Denisovan introgression was primarily beneficial for immune-related functions. Finally, we report evidence of selective sweeps and polygenic adaptation associated with pathogen exposure and lipid metabolism in the Pacific region, increasing our understanding of the mechanisms of biological adaptation to island environments.
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Affiliation(s)
- Jeremy Choin
- Human Evolutionary Genetics Unit, Institut Pasteur, UMR 2000, CNRS, Paris, France
- Université Paris Diderot, Sorbonne Paris Cité, Paris, France
| | | | - Lara R Arauna
- Human Evolutionary Genetics Unit, Institut Pasteur, UMR 2000, CNRS, Paris, France
| | - Sebastian Cuadros-Espinoza
- Human Evolutionary Genetics Unit, Institut Pasteur, UMR 2000, CNRS, Paris, France
- Sorbonne Université, Collège doctoral, Paris, France
| | - Olivier Cassar
- Oncogenic Virus Epidemiology and Pathophysiology, Institut Pasteur, UMR 3569, CNRS, Paris, France
| | - Maximilian Larena
- Human Evolution, Department of Organismal Biology, Uppsala University, Uppsala, Sweden
| | - Albert Min-Shan Ko
- Key Laboratory of Vertebrate Evolution and Human Origins, Institute of Vertebrate Paleontology and Paleoanthropology, Chinese Academy of Sciences, Beijing, China
| | - Christine Harmant
- Human Evolutionary Genetics Unit, Institut Pasteur, UMR 2000, CNRS, Paris, France
| | - Romain Laurent
- Muséum National d'Histoire Naturelle, UMR7206, CNRS, Université de Paris, Paris, France
| | - Paul Verdu
- Muséum National d'Histoire Naturelle, UMR7206, CNRS, Université de Paris, Paris, France
| | - Guillaume Laval
- Human Evolutionary Genetics Unit, Institut Pasteur, UMR 2000, CNRS, Paris, France
| | - Anne Boland
- Centre National de Recherche en Génomique Humaine (CNRGH), Institut de Biologie François Jacob, CEA, Université Paris-Saclay, Evry, France
| | - Robert Olaso
- Centre National de Recherche en Génomique Humaine (CNRGH), Institut de Biologie François Jacob, CEA, Université Paris-Saclay, Evry, France
| | - Jean-François Deleuze
- Centre National de Recherche en Génomique Humaine (CNRGH), Institut de Biologie François Jacob, CEA, Université Paris-Saclay, Evry, France
| | - Frédérique Valentin
- Maison de l'Archéologie et de l'Ethnologie, UMR 7041, CNRS, Nanterre, France
| | - Ying-Chin Ko
- Environment-Omics-Disease Research Center, China Medical University and Hospital, Taichung, Taiwan
| | - Mattias Jakobsson
- Human Evolution, Department of Organismal Biology, Uppsala University, Uppsala, Sweden
- Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | - Antoine Gessain
- Oncogenic Virus Epidemiology and Pathophysiology, Institut Pasteur, UMR 3569, CNRS, Paris, France
| | - Laurent Excoffier
- Institute of Ecology and Evolution, University of Bern, Bern, Switzerland
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Mark Stoneking
- Department of Evolutionary Genetics, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
| | - Etienne Patin
- Human Evolutionary Genetics Unit, Institut Pasteur, UMR 2000, CNRS, Paris, France.
| | - Lluis Quintana-Murci
- Human Evolutionary Genetics Unit, Institut Pasteur, UMR 2000, CNRS, Paris, France.
- Collège de France, Paris, France.
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65
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Chiou KL, Bergey CM, Burrell AS, Disotell TR, Rogers J, Jolly CJ, Phillips-Conroy JE. Genome-wide ancestry and introgression in a Zambian baboon hybrid zone. Mol Ecol 2021; 30:1907-1920. [PMID: 33624366 DOI: 10.1111/mec.15858] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2019] [Revised: 02/15/2021] [Accepted: 02/19/2021] [Indexed: 10/22/2022]
Abstract
Hybridization in nature offers unique insights into the process of natural selection in incipient species and their hybrids. In order to evaluate the patterns and targets of selection, we examine a recently discovered baboon hybrid zone in the Kafue River Valley of Zambia, where Kinda baboons (Papio kindae) and grey-footed chacma baboons (P. ursinus griseipes) coexist with hybridization. We genotyped baboons at 14,962 variable genome-wide autosomal markers using double-digest RADseq. We compared ancestry patterns from this genome-wide data set to previously reported ancestry from mitochondrial-DNA and Y-chromosome sources. We also fit a Bayesian genomic cline model to scan for genes with extreme patterns of introgression. We show that the Kinda baboon Y chromosome has penetrated the species boundary to a greater extent than either mitochondrial DNA or the autosomal chromosomes. We also find evidence for overall restricted introgression in the JAK/STAT signalling pathway. Echoing results in other species including humans, we find evidence for enhanced and/or directional introgression of immune-related genes or pathways including the toll-like receptor pathway, the blood coagulation pathway, and the LY96 gene. Finally we show enhanced introgression and excess chacma baboon ancestry in the sperm tail gene ODF2. Together, our results elucidate the dynamics of introgressive hybridization in a primate system while identifying genes and pathways possibly under selection.
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Affiliation(s)
- Kenneth L Chiou
- Department of Anthropology, Washington University, St. Louis, MO, USA.,Center for Evolution and Medicine, Arizona State University, Tempe, AZ, USA
| | - Christina M Bergey
- Department of Genetics, Human Genetics Institute of New Jersey, Rutgers, The State University of New Jersey, Piscataway, NJ, USA.,Department of Anthropology, New York University, New York, NY, USA
| | - Andrew S Burrell
- Department of Anthropology, New York University, New York, NY, USA
| | - Todd R Disotell
- Department of Anthropology, New York University, New York, NY, USA.,New York Consortium in Evolutionary Primatology, New York, NY, USA.,Department of Anthropology, University of Massachusetts Amherst, Amherst, MA, USA
| | - Jeffrey Rogers
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
| | - Clifford J Jolly
- Department of Anthropology, New York University, New York, NY, USA.,New York Consortium in Evolutionary Primatology, New York, NY, USA
| | - Jane E Phillips-Conroy
- Department of Anthropology, Washington University, St. Louis, MO, USA.,Department of Neuroscience, Washington University School of Medicine, St. Louis, MO, USA
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66
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Tilot AK, Khramtsova EA, Liang D, Grasby KL, Jahanshad N, Painter J, Colodro-Conde L, Bralten J, Hibar DP, Lind PA, Liu S, Brotman SM, Thompson PM, Medland SE, Macciardi F, Stranger BE, Davis LK, Fisher SE, Stein JL. The Evolutionary History of Common Genetic Variants Influencing Human Cortical Surface Area. Cereb Cortex 2021; 31:1873-1887. [PMID: 33290510 PMCID: PMC7945014 DOI: 10.1093/cercor/bhaa327] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2020] [Revised: 10/09/2020] [Accepted: 10/09/2020] [Indexed: 12/15/2022] Open
Abstract
Structural brain changes along the lineage leading to modern Homo sapiens contributed to our distinctive cognitive and social abilities. However, the evolutionarily relevant molecular variants impacting key aspects of neuroanatomy are largely unknown. Here, we integrate evolutionary annotations of the genome at diverse timescales with common variant associations from large-scale neuroimaging genetic screens. We find that alleles with evidence of recent positive polygenic selection over the past 2000-3000 years are associated with increased surface area (SA) of the entire cortex, as well as specific regions, including those involved in spoken language and visual processing. Therefore, polygenic selective pressures impact the structure of specific cortical areas even over relatively recent timescales. Moreover, common sequence variation within human gained enhancers active in the prenatal cortex is associated with postnatal global SA. We show that such variation modulates the function of a regulatory element of the developmentally relevant transcription factor HEY2 in human neural progenitor cells and is associated with structural changes in the inferior frontal cortex. These results indicate that non-coding genomic regions active during prenatal cortical development are involved in the evolution of human brain structure and identify novel regulatory elements and genes impacting modern human brain structure.
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Affiliation(s)
- Amanda K Tilot
- Language and Genetics Department, Max Planck Institute for Psycholinguistics, Nijmegen, 6500 AH, Netherlands
- Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA 90292, USA
| | - Ekaterina A Khramtsova
- Department of Medicine, Section of Genetic Medicine & Institute for Genomics and Systems Biology, University of Chicago, Chicago, IL 60637, USA
- Computational Sciences, Janssen Pharmaceuticals, Spring House, PA 19477, USA
| | - Dan Liang
- Department of Genetics, University of North Carolina, Chapel Hill, NC 27599, USA
- UNC Neuroscience Center, University of North Carolina, Chapel Hill, NC 27599, USA
| | - Katrina L Grasby
- Psychiatric Genetics, QIMR Berghofer Medical Research Institute, Brisbane, QLD 4006, Australia
| | - Neda Jahanshad
- Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA 90292, USA
| | - Jodie Painter
- Psychiatric Genetics, QIMR Berghofer Medical Research Institute, Brisbane, QLD 4006, Australia
| | - Lucía Colodro-Conde
- Psychiatric Genetics, QIMR Berghofer Medical Research Institute, Brisbane, QLD 4006, Australia
| | - Janita Bralten
- Radboud University Medical Center, 6525 XZ Nijmegen, Netherlands
| | | | - Penelope A Lind
- Psychiatric Genetics, QIMR Berghofer Medical Research Institute, Brisbane, QLD 4006, Australia
| | - Siyao Liu
- Department of Genetics, University of North Carolina, Chapel Hill, NC 27599, USA
- UNC Neuroscience Center, University of North Carolina, Chapel Hill, NC 27599, USA
| | - Sarah M Brotman
- Department of Genetics, University of North Carolina, Chapel Hill, NC 27599, USA
- UNC Neuroscience Center, University of North Carolina, Chapel Hill, NC 27599, USA
| | - Paul M Thompson
- Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA 90292, USA
| | - Sarah E Medland
- Psychiatric Genetics, QIMR Berghofer Medical Research Institute, Brisbane, QLD 4006, Australia
| | - Fabio Macciardi
- Department of Psychiatry and Human Behavior, University of California, Irvine, CA 92697, USA
| | - Barbara E Stranger
- Department of Medicine, Section of Genetic Medicine & Institute for Genomics and Systems Biology, University of Chicago, Chicago, IL 60637, USA
- Department of Pharmacology, Center for Genetic Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
| | - Lea K Davis
- Department of Medicine, Division of Medical Genetics, Vanderbilt University Medical Center, Nashville, TN 37232, USA
- Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, TN 37232, USA
- Vanderbilt University Medical Center, Vanderbilt Genetics Institute, Nashville, TN 37232, USA
| | - Simon E Fisher
- Language and Genetics Department, Max Planck Institute for Psycholinguistics, Nijmegen, 6500 AH, Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, 6500 HB, Netherlands
| | - Jason L Stein
- Department of Genetics, University of North Carolina, Chapel Hill, NC 27599, USA
- UNC Neuroscience Center, University of North Carolina, Chapel Hill, NC 27599, USA
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67
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Zeberg H, Pääbo S. A genomic region associated with protection against severe COVID-19 is inherited from Neandertals. Proc Natl Acad Sci U S A 2021; 118:e2026309118. [PMID: 33593941 PMCID: PMC7936282 DOI: 10.1073/pnas.2026309118] [Citation(s) in RCA: 132] [Impact Index Per Article: 33.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022] Open
Abstract
It was recently shown that the major genetic risk factor associated with becoming severely ill with COVID-19 when infected by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is inherited from Neandertals. New, larger genetic association studies now allow additional genetic risk factors to be discovered. Using data from the Genetics of Mortality in Critical Care (GenOMICC) consortium, we show that a haplotype at a region on chromosome 12 associated with requiring intensive care when infected with the virus is inherited from Neandertals. This region encodes proteins that activate enzymes that are important during infections with RNA viruses. In contrast to the previously described Neandertal haplotype that increases the risk for severe COVID-19, this Neandertal haplotype is protective against severe disease. It also differs from the risk haplotype in that it has a more moderate effect and occurs at substantial frequencies in all regions of the world outside Africa. Among ancient human genomes in western Eurasia, the frequency of the protective Neandertal haplotype may have increased between 20,000 and 10,000 y ago and again during the past 1,000 y.
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Affiliation(s)
- Hugo Zeberg
- Department of Evolutionary Genetics, Max Planck Institute for Evolutionary Anthropology, D-04103 Leipzig, Germany;
- Department of Neuroscience, Karolinska Institutet, SE-17177 Stockholm, Sweden
| | - Svante Pääbo
- Department of Evolutionary Genetics, Max Planck Institute for Evolutionary Anthropology, D-04103 Leipzig, Germany;
- Human Evolutionary Genomics Unit, Okinawa Institute of Science and Technology, Okinawa 904-0495, Japan
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68
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Abstract
Throughout human history, large-scale migrations have facilitated the formation of populations with ancestry from multiple previously separated populations. This process leads to subsequent shuffling of genetic ancestry through recombination, producing variation in ancestry between populations, among individuals in a population, and along the genome within an individual. Recent methodological and empirical developments have elucidated the genomic signatures of this admixture process, bringing previously understudied admixed populations to the forefront of population and medical genetics. Under this theme, we present a collection of recent PLOS Genetics publications that exemplify recent progress in human genetic admixture studies, and we discuss potential areas for future work.
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Affiliation(s)
- Katharine L. Korunes
- Department of Evolutionary Anthropology, Duke University, Durham, North Carolina, United States of America
| | - Amy Goldberg
- Department of Evolutionary Anthropology, Duke University, Durham, North Carolina, United States of America
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69
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Dannemann M. The Population-Specific Impact of Neandertal Introgression on Human Disease. Genome Biol Evol 2021; 13:6008690. [PMID: 33247712 PMCID: PMC7851588 DOI: 10.1093/gbe/evaa250] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/22/2020] [Indexed: 12/20/2022] Open
Abstract
Since the discovery of admixture between modern humans and Neandertals, multiple studies investigated the effect of Neandertal-derived DNA on human disease and nondisease phenotypes. These studies have linked Neandertal ancestry to skin- and hair-related phenotypes, immunity, neurological, and behavioral traits. However, these inferences have so far been limited to cohorts with participants of European ancestry. Here, I analyze summary statistics from 40 disease GWAS (genome-wide association study) cohorts of ∼212,000 individuals provided by the Biobank Japan Project for phenotypic effects of Neandertal DNA. I show that Neandertal DNA is associated with autoimmune diseases, prostate cancer and type 2 diabetes. Many of these disease associations are linked to population-specific Neandertal DNA, highlighting the importance of studying a wider range of ancestries to characterize the phenotypic legacy of Neandertals in people today.
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70
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Santos FR, Pinotti T, Fujita R. Population Variation of the Human Genome. HUMAN GENOME STRUCTURE, FUNCTION AND CLINICAL CONSIDERATIONS 2021:329-350. [DOI: 10.1007/978-3-030-73151-9_11] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/02/2025]
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71
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Gregory MD, Kippenhan JS, Kohn P, Eisenberg DP, Callicott JH, Kolachana B, Berman KF. Neanderthal-Derived Genetic Variation is Associated with Functional Connectivity in the Brains of Living Humans. Brain Connect 2020; 11:38-44. [PMID: 33218283 DOI: 10.1089/brain.2020.0809] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022] Open
Abstract
Aim: To determine whether Neanderthal-derived genetic variation relates to functional connectivity patterns in the brains of living modern humans. Introduction: Nearly 50,000 years ago, Neanderthals interbred with ancestors of modern humans, imparting a genetic legacy that lives on today. The vestiges of this Neanderthal-derived genetic variation have been previously shown to be enriched in genes coding for neurogenesis and myelination and to alter skull shape and brain structure in living people. Materials and Methods: Using two independent cohorts totaling 553 healthy individuals, we employed multivariate distance matrix regression (MDMR) to determine whether any brain areas exhibited whole-brain functional connectivity patterns that significantly related to the degree of Neanderthal introgression. Identified clusters were then used as regions of interest in follow-up seed-based functional connectivity analyses to determine the connectivity patterns driving the relationships. Results: The MDMR analysis revealed that the percentage of Neanderthal-originating polymorphisms was significantly associated with the functional connectivity patterns of an area of the intraparietal sulcus (IPS) that was nearly identical in both cohorts. Using these IPS clusters as regions of interest in seed-based connectivity analyses, we found, again in both cohorts, that individuals with a higher proportion of Neanderthal-derived genetic variation showed increased IPS functional connectivity with visual processing regions, but decreased IPS connectivity with regions underlying social cognition. Conclusions: These findings demonstrate that the remnants of Neanderthal admixture continue to influence human brain function today, in ways that are consistent with anthropological conceptualizations of Neanderthal phenotypes, including the possibility that Neanderthals may have depended upon visual processing capabilities at the expense of social cognition, and this may have contributed to the extinction of this species through reduced cultural maintenance and inability to cope with fluctuating resources. This and other studies capitalizing on the emerging science surrounding ancient DNA provide a window through which to view an ancient lineage long past.
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Affiliation(s)
- Michael D Gregory
- Section on Integrative Neuroimaging and Clinical and Translational Neurosciences Branch, National Institute of Mental Health, National Institutes of Health, Bethesda, Maryland, USA
| | - J Shane Kippenhan
- Section on Integrative Neuroimaging and Clinical and Translational Neurosciences Branch, National Institute of Mental Health, National Institutes of Health, Bethesda, Maryland, USA
| | - Philip Kohn
- Section on Integrative Neuroimaging and Clinical and Translational Neurosciences Branch, National Institute of Mental Health, National Institutes of Health, Bethesda, Maryland, USA
| | - Daniel P Eisenberg
- Section on Integrative Neuroimaging and Clinical and Translational Neurosciences Branch, National Institute of Mental Health, National Institutes of Health, Bethesda, Maryland, USA
| | - Joseph H Callicott
- Psychosis and Cognitive Studies Section, Clinical and Translational Neurosciences Branch, National Institute of Mental Health, National Institutes of Health, Bethesda, Maryland, USA
| | - Bhaskar Kolachana
- Human Brain Collection Core, National Institute of Mental Health, National Institutes of Health, Bethesda, Maryland, USA
| | - Karen F Berman
- Section on Integrative Neuroimaging and Clinical and Translational Neurosciences Branch, National Institute of Mental Health, National Institutes of Health, Bethesda, Maryland, USA.,Psychosis and Cognitive Studies Section, Clinical and Translational Neurosciences Branch, National Institute of Mental Health, National Institutes of Health, Bethesda, Maryland, USA
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72
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Zhou M, Zhang L, Yang Q, Yan C, Jiang P, Lan Y, Wang J, Tang R, He M, Lei G, Sun P, Su N, Price M, Li J, Lin F, Yue B, Fan Z. Age-related gene expression and DNA methylation changes in rhesus macaque. Genomics 2020; 112:5147-5156. [DOI: 10.1016/j.ygeno.2020.09.021] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2020] [Revised: 08/23/2020] [Accepted: 09/08/2020] [Indexed: 02/06/2023]
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73
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Rinker DC, Simonti CN, McArthur E, Shaw D, Hodges E, Capra JA. Neanderthal introgression reintroduced functional ancestral alleles lost in Eurasian populations. Nat Ecol Evol 2020; 4:1332-1341. [PMID: 32719451 PMCID: PMC7529911 DOI: 10.1038/s41559-020-1261-z] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2019] [Accepted: 06/29/2020] [Indexed: 12/31/2022]
Abstract
Neanderthal ancestry remains across modern Eurasian genomes and introgressed sequences influence diverse phenotypes. Here, we demonstrate that introgressed sequences reintroduced thousands of ancestral alleles that were lost in Eurasian populations before introgression. Our simulations and variant effect predictions argue that these reintroduced alleles (RAs) are more likely to be tolerated by modern humans than are introgressed Neanderthal-derived alleles (NDAs) due to their distinct evolutionary histories. Consistent with this, we show enrichment for RAs and depletion for NDAs on introgressed haplotypes with expression quantitative trait loci (eQTL) and phenotype associations. Analysis of available cross-population eQTLs and massively parallel reporter assay data show that RAs commonly influence gene expression independent of linked NDAs. We further validate these independent effects for one RA in vitro. Finally, we demonstrate that NDAs are depleted for regulatory activity compared to RAs, while RAs have activity levels similar to non-introgressed variants. In summary, our study reveals that Neanderthal introgression reintroduced thousands of lost ancestral variants with gene regulatory activity and that these RAs were more tolerated than NDAs. Thus, RAs and their distinct evolutionary histories must be considered when evaluating the effects of introgression.
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Affiliation(s)
- David C Rinker
- Department of Biological Sciences, Vanderbilt University, Nashville, TN, USA
| | - Corinne N Simonti
- Department of Biological Sciences, Georgia Institute of Technology, Atlanta, GA, USA
| | - Evonne McArthur
- Vanderbilt Genetics Institute, Vanderbilt University, Nashville, TN, USA
| | - Douglas Shaw
- Vanderbilt Genetics Institute, Vanderbilt University, Nashville, TN, USA
- Department of Biochemistry, Vanderbilt University, Nashville, TN, USA
| | - Emily Hodges
- Vanderbilt Genetics Institute, Vanderbilt University, Nashville, TN, USA
- Department of Biochemistry, Vanderbilt University, Nashville, TN, USA
| | - John A Capra
- Department of Biological Sciences, Vanderbilt University, Nashville, TN, USA.
- Vanderbilt Genetics Institute, Vanderbilt University, Nashville, TN, USA.
- Departments of Biomedical Informatics and Computer Science, Vanderbilt University, Nashville, TN, USA.
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74
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Abstract
Canalization refers to the evolution of populations such that the number of individuals who deviate from the optimum trait, or experience disease, is minimized. In the presence of rapid cultural, environmental, or genetic change, the reverse process of decanalization may contribute to observed increases in disease prevalence. This review starts by defining relevant concepts, drawing distinctions between the canalization of populations and robustness of individuals. It then considers evidence pertaining to three continuous traits and six domains of disease. In each case, existing genetic evidence for genotype-by-environment interactions is insufficient to support a strong inference of decanalization, but we argue that the advent of genome-wide polygenic risk assessment now makes an empirical evaluation of the role of canalization in preventing disease possible. Finally, the contributions of both rare and common variants to congenital abnormality and adult onset disease are considered in light of a new kerplunk model of genetic effects.
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Affiliation(s)
- Greg Gibson
- School of Biological Sciences, Georgia Institute of Technology, Atlanta, Georgia 30332, USA;
| | - Kristine A Lacek
- School of Biological Sciences, Georgia Institute of Technology, Atlanta, Georgia 30332, USA;
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75
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Gabaldón T. Patterns and impacts of nonvertical evolution in eukaryotes: a paradigm shift. Ann N Y Acad Sci 2020; 1476:78-92. [PMID: 32860228 PMCID: PMC7589212 DOI: 10.1111/nyas.14471] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2020] [Revised: 07/19/2020] [Accepted: 07/27/2020] [Indexed: 12/14/2022]
Abstract
Evolution of eukaryotic species and their genomes has been traditionally understood as a vertical process in which genetic material is transmitted from parents to offspring along a lineage, and in which genetic exchange is restricted within species boundaries. However, mounting evidence from comparative genomics indicates that this paradigm is often violated. Horizontal gene transfer and mating between diverged lineages blur species boundaries and challenge the reconstruction of evolutionary histories of species and their genomes. Nonvertical evolution might be more restricted in eukaryotes than in prokaryotes, yet it is not negligible and can be common in certain groups. Recognition of such processes brings about the need to incorporate this complexity into our models, as well as to conceptually reframe eukaryotic diversity and evolution. Here, I review the recent work from genomics studies that supports the effects of nonvertical modes of evolution including introgression, hybridization, and horizontal gene transfer in different eukaryotic groups. I then discuss emerging patterns and effects, illustrated by specific examples, that support the conclusion that nonvertical processes are often at the root of important evolutionary transitions and adaptations. I will argue that a paradigm shift is needed to naturally accommodate nonvertical processes in eukaryotic evolution.
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Affiliation(s)
- Toni Gabaldón
- Barcelona Supercomputing Centre (BCS-CNS), Barcelona, Spain.,Institute for Research in Biomedicine (IRB), The Barcelona Institute of Science and Technology (BIST), Barcelona, Spain.,Institució Catalana de Recerca i Estudis Avançats (ICREA), Barcelona, Spain
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76
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Toyama KS, Crochet P, Leblois R. Sampling schemes and drift can bias admixture proportions inferred by
structure. Mol Ecol Resour 2020; 20:1769-1785. [DOI: 10.1111/1755-0998.13234] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2020] [Revised: 07/17/2020] [Accepted: 07/24/2020] [Indexed: 11/27/2022]
Affiliation(s)
- Ken S. Toyama
- Department of Ecology and Evolutionary Biology University of Toronto Toronto ON Canada
| | - Pierre‐André Crochet
- CEFE CNRS University of Montpellier Université Paul Valéry Montpellier 3 EPHE IRD Montpellier France
| | - Raphaël Leblois
- CBGP INRAE CIRAD IRD Montpellier SupAgro University of Montpellier Montpellier France
- Institut de Biologie Computationnelle University of Montpellier Montpellier France
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77
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Wagner JK, Colwell C, Claw KG, Stone AC, Bolnick DA, Hawks J, Brothers KB, Garrison NA. Fostering Responsible Research on Ancient DNA. Am J Hum Genet 2020; 107:183-195. [PMID: 32763189 PMCID: PMC7413888 DOI: 10.1016/j.ajhg.2020.06.017] [Citation(s) in RCA: 40] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022] Open
Abstract
Anticipating and addressing the social implications of scientific work is a fundamental responsibility of all scientists. However, expectations for ethically sound practices can evolve over time as the implications of science come to be better understood. Contemporary researchers who work with ancient human remains, including those who conduct ancient DNA research, face precisely this challenge as it becomes clear that practices such as community engagement are needed to address the important social implications of this work. To foster and promote ethical engagement between researchers and communities, we offer five practical recommendations for ancient DNA researchers: (1) formally consult with communities; (2) address cultural and ethical considerations; (3) engage communities and support capacity building; (4) develop plans to report results and manage data; and (5) develop plans for long-term responsibility and stewardship. Ultimately, every member of a research team has an important role in fostering ethical research on ancient DNA.
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Affiliation(s)
- Jennifer K Wagner
- Professional Practice and Social Implications Committee (formerly the Social Issues Committee), American Society of Human Genetics, Bethesda, MD 20814, USA; Responsible Ancient DNA Research Working Group, American Society of Human Genetics, Bethesda, MD 20814, USA; Center for Translational Bioethics and Health Care Policy, Geisinger, Danville, PA 17822, USA.
| | - Chip Colwell
- Responsible Ancient DNA Research Working Group, American Society of Human Genetics, Bethesda, MD 20814, USA; Department of Anthropology, Denver Museum of Nature and Science, Denver, CO 80205, USA
| | - Katrina G Claw
- Responsible Ancient DNA Research Working Group, American Society of Human Genetics, Bethesda, MD 20814, USA; Division of Biomedical Informatics and Personalized Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA
| | - Anne C Stone
- Responsible Ancient DNA Research Working Group, American Society of Human Genetics, Bethesda, MD 20814, USA; School of Human Evolution and Social Change, Arizona State University, Tempe, AZ 85287, USA
| | - Deborah A Bolnick
- Responsible Ancient DNA Research Working Group, American Society of Human Genetics, Bethesda, MD 20814, USA; Department of Anthropology, University of Connecticut, Storrs, CT 06269, USA; Institute for Systems Genomics, University of Connecticut, Storrs, CT 06269, USA
| | - John Hawks
- Responsible Ancient DNA Research Working Group, American Society of Human Genetics, Bethesda, MD 20814, USA; Department of Anthropology, University of Wisconsin-Madison, Madison, WI 53706, USA
| | - Kyle B Brothers
- Professional Practice and Social Implications Committee (formerly the Social Issues Committee), American Society of Human Genetics, Bethesda, MD 20814, USA; Responsible Ancient DNA Research Working Group, American Society of Human Genetics, Bethesda, MD 20814, USA; Department of Pediatrics, University of Louisville, Louisville, KY 40202, USA
| | - Nanibaa' A Garrison
- Professional Practice and Social Implications Committee (formerly the Social Issues Committee), American Society of Human Genetics, Bethesda, MD 20814, USA; Responsible Ancient DNA Research Working Group, American Society of Human Genetics, Bethesda, MD 20814, USA; Institute for Society and Genetics, University of California, Los Angeles, Los Angeles, CA 90095, USA; Institute for Precision Health, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA 90095, USA; Division of General Internal Medicine and Health Services Research, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA 90095, USA
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78
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Rosenthal SJ, Josephs T, Kovtun O, McCarty R. Seasonal effects on bipolar disorder: A closer look. Neurosci Biobehav Rev 2020; 115:199-219. [DOI: 10.1016/j.neubiorev.2020.05.017] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2020] [Revised: 05/22/2020] [Accepted: 05/25/2020] [Indexed: 11/15/2022]
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79
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Ito T, Kanthaswamy S, Bunlungsup S, Oldt RF, Houghton P, Hamada Y, Malaivijitnond S. Secondary contact and genomic admixture between rhesus and long-tailed macaques in the Indochina Peninsula. J Evol Biol 2020; 33:1164-1179. [PMID: 33448526 DOI: 10.1111/jeb.13681] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2020] [Revised: 06/11/2020] [Accepted: 07/08/2020] [Indexed: 01/07/2023]
Abstract
Understanding the process and consequences of hybridization is one of the major challenges in evolutionary biology. A growing body of literature has reported evidence of ancient hybridization events or natural hybrid zones in primates, including humans; however, we still have relatively limited knowledge about the pattern and history of admixture because there have been little studies that simultaneously achieved genome-scale analysis and a geographically wide sampling of wild populations. Our study applied double-digest restriction site-associated DNA sequencing to samples from the six localities in and around the provisional hybrid zone of rhesus and long-tailed macaques and evaluated population structure, phylogenetic relationships, demographic history, and geographic clines of morphology and allele frequencies. A latitudinal gradient of genetic components was observed, highlighting the transition from rhesus (north) to long-tailed macaque distribution (south) as well as the presence of one northern population of long-tailed macaques exhibiting unique genetic structure. Interspecific gene flow was estimated to have recently occurred after an isolation period, and the migration rate from rhesus to long-tailed macaques was slightly greater than in the opposite direction. Although some rhesus macaque-biased alleles have widely introgressed into long-tailed macaque populations, the inflection points of allele frequencies have been observed as concentrated around the traditionally recognized interspecific boundary where morphology discontinuously changed; this pattern was more pronounced in the X chromosome than in autosomes. Thus, due to geographic separation before secondary contact, reproductive isolation could have evolved, contributing to the maintenance of an interspecific boundary and species-specific morphological characteristics.
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Affiliation(s)
- Tsuyoshi Ito
- Department of Evolution and Phylogeny, Primate Research Institute, Kyoto University, Aichi, Japan
| | - Sreetharan Kanthaswamy
- School of Mathematical and Natural Sciences, New College of Interdisciplinary Arts and Sciences, Arizona State University West Campus, Glendale, AZ, USA
| | - Srichan Bunlungsup
- Department of Biology, Faculty of Science, Chulalongkorn University, Bangkok, Thailand.,National Primate Research Center of Thailand-Chulalongkorn University, Saraburi, Thailand
| | - Robert F Oldt
- School of Mathematical and Natural Sciences, New College of Interdisciplinary Arts and Sciences, Arizona State University West Campus, Glendale, AZ, USA
| | | | - Yuzuru Hamada
- Department of Evolution and Phylogeny, Primate Research Institute, Kyoto University, Aichi, Japan
| | - Suchinda Malaivijitnond
- Department of Biology, Faculty of Science, Chulalongkorn University, Bangkok, Thailand.,National Primate Research Center of Thailand-Chulalongkorn University, Saraburi, Thailand
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80
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Quilodrán CS, Montoya-Burgos JI, Currat M. Harmonizing hybridization dissonance in conservation. Commun Biol 2020; 3:391. [PMID: 32694629 PMCID: PMC7374702 DOI: 10.1038/s42003-020-1116-9] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2019] [Accepted: 06/25/2020] [Indexed: 12/24/2022] Open
Abstract
A dramatic increase in the hybridization between historically allopatric species has been induced by human activities. However, the notion of hybridization seems to lack consistency in two respects. On the one hand, it is inconsistent with the biological species concept, which does not allow for interbreeding between species, and on the other hand, it is considered either as an evolutionary process leading to the emergence of new biodiversity or as a cause of biodiversity loss, with conservation implications. In the first case, we argue that conservation biology should avoid the discussion around the species concept and delimit priorities of conservation units based on the impact on biodiversity if taxa are lost. In the second case, we show that this is not a paradox but an intrinsic property of hybridization, which should be considered in conservation programmes. We propose a novel view of conservation guidelines, in which human-induced hybridization may also be a tool to enhance the likelihood of adaptation to changing environmental conditions or to increase the genetic diversity of taxa affected by inbreeding depression. The conservation guidelines presented here represent a guide for the development of programmes aimed at protecting biodiversity as a dynamic evolutionary system.
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Affiliation(s)
- Claudio S Quilodrán
- Department of Zoology, University of Oxford, Oxford, United Kingdom.
- Laboratory of Anthropology, Genetics and Peopling History, Anthropology Unit, Department of Genetics and Evolution, University of Geneva, Geneva, Switzerland.
| | - Juan I Montoya-Burgos
- Laboratory of Vertebrate Evolution, Department of Genetics and Evolution, University of Geneva, Geneva, Switzerland
- Institute of Genetics and Genomics in Geneva (IGE3), Geneva, Switzerland
| | - Mathias Currat
- Laboratory of Anthropology, Genetics and Peopling History, Anthropology Unit, Department of Genetics and Evolution, University of Geneva, Geneva, Switzerland
- Institute of Genetics and Genomics in Geneva (IGE3), Geneva, Switzerland
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81
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Dannemann M, He Z, Heide C, Vernot B, Sidow L, Kanton S, Weigert A, Treutlein B, Pääbo S, Kelso J, Camp JG. Human Stem Cell Resources Are an Inroad to Neandertal DNA Functions. Stem Cell Reports 2020; 15:214-225. [PMID: 32559457 PMCID: PMC7363959 DOI: 10.1016/j.stemcr.2020.05.018] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2019] [Revised: 05/21/2020] [Accepted: 05/22/2020] [Indexed: 02/07/2023] Open
Abstract
Induced pluripotent stem cells (iPSCs) from diverse humans offer the potential to study human functional variation in controlled culture environments. A portion of this variation originates from an ancient admixture between modern humans and Neandertals, which introduced alleles that left a phenotypic legacy on individual humans today. Here, we show that a large iPSC repository harbors extensive Neandertal DNA, including alleles that contribute to human phenotypes and diseases, encode hundreds of amino acid changes, and alter gene expression in specific tissues. We provide a database of the inferred introgressed Neandertal alleles for each individual iPSC line, together with the annotation of the predicted functional variants. We also show that transcriptomic data from organoids generated from iPSCs can be used to track Neandertal-derived RNA over developmental processes. Human iPSC resources provide an opportunity to experimentally explore Neandertal DNA function and its contribution to present-day phenotypes, and potentially study Neandertal traits.
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Affiliation(s)
- Michael Dannemann
- Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany; Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Zhisong He
- Department of Biosystems Science and Engineering, ETH Zürich, Basel, Switzerland
| | - Christian Heide
- Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
| | - Benjamin Vernot
- Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
| | - Leila Sidow
- Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
| | - Sabina Kanton
- Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
| | - Anne Weigert
- Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
| | - Barbara Treutlein
- Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany; Department of Biosystems Science and Engineering, ETH Zürich, Basel, Switzerland
| | - Svante Pääbo
- Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
| | - Janet Kelso
- Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
| | - J Gray Camp
- Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany; Institute of Molecular and Clinical Ophthalmology Basel, Basel, Switzerland; Department of Ophthalmology, University of Basel, Basel, Switzerland.
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82
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Hérisson D, Soriano S. A view of the Lower to Middle Paleolithic boundary from Northern France, far from the Near East? J Hum Evol 2020; 145:102814. [PMID: 32673890 DOI: 10.1016/j.jhevol.2020.102814] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2019] [Revised: 04/16/2020] [Accepted: 04/16/2020] [Indexed: 01/06/2023]
Abstract
Northern France and the Near East play and have played a central role in the debate around the Lower Paleolithic (LP) to Middle Paleolithic (MP) boundary. In the early 1990s, the renewed Saalian record for Northern France began to outline a mosaic model of the LP-to-MP transition-mainly based on Tuffreau's works. It implied the coexistence of Upper Acheulean assemblages (numerous bifaces with few standardized retouched flakes), 'Epi-Acheulean' assemblages (rare bifaces and diversified retouched flakes), and Mousterian assemblages (Levalloisian industries) during the Marine Isotope Stage (MIS) 8-6 period. Since the 2000s, the discovery of new key sites and enhanced field and laboratory methods are challenging this model. We present first a brief historical summary of previous approaches to the LP to MP boundary in Northern France. A large data set of Saalian archaeological units available from previous works has been updated and expanded to include additional sites. This allows us to demonstrate that the current Saalian record from Northern France is both rich and sparse as it is heterogeneously biased through time and space and that these biases limit the accuracy of any attempt to model the LP-to-MP transition. Nevertheless, we describe the differences between pre-MIS 9 and MIS 9 and MIS 8-6 records for lithic industries and discuss whether the current periodization is still relevant considering new data on technological, behavioral, and cultural changes. The comparison between Northern France and Near Eastern records allows regional cultural patterns to be distinguished from global trends in lithic trajectories of change and determination of how they slotted together. Our review of the available data from these two distant regions confirms that the LP-to-MP transition is probably one of the major cultural shifts in human evolution.
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Affiliation(s)
- David Hérisson
- CNRS-UMR7041 ArScAn, Équipe AnTET (Anthropologie des Techniques, des Espaces et des Territoires au Pliocène et au Pléistocène), MSH Mondes, Université Paris Nanterre, 21 Allée de l'Université, Nanterre Cedex, 93023, France.
| | - Sylvain Soriano
- CNRS-UMR7041 ArScAn, Équipe AnTET (Anthropologie des Techniques, des Espaces et des Territoires au Pliocène et au Pléistocène), MSH Mondes, Université Paris Nanterre, 21 Allée de l'Université, Nanterre Cedex, 93023, France
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83
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Sankararaman S. Methods for detecting introgressed archaic sequences. Curr Opin Genet Dev 2020; 62:85-90. [PMID: 32717667 PMCID: PMC7484293 DOI: 10.1016/j.gde.2020.05.026] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2020] [Revised: 05/12/2020] [Accepted: 05/22/2020] [Indexed: 11/16/2022]
Abstract
Analysis of genome sequences from archaic and modern humans have revealed multiple episodes of admixture between highly-diverged population groups. Statistical methods that attempt to localize DNA segments introduced by these events offer a powerful tool to investigate recent human evolution. We review recent advances in methods for detecting introgressed sequences.
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Affiliation(s)
- Sriram Sankararaman
- Department of Computer Science, University of California, Los Angeles, CA 90095, United States; Department of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, CA 90095, United States; Department of Computational Medicine, University of California, Los Angeles, CA 90095, United States.
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84
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Esteller-Cucala P, Maceda I, Børglum AD, Demontis D, Faraone SV, Cormand B, Lao O. Genomic analysis of the natural history of attention-deficit/hyperactivity disorder using Neanderthal and ancient Homo sapiens samples. Sci Rep 2020; 10:8622. [PMID: 32451437 PMCID: PMC7248073 DOI: 10.1038/s41598-020-65322-4] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2019] [Accepted: 04/24/2020] [Indexed: 11/18/2022] Open
Abstract
Attention-deficit/hyperactivity disorder (ADHD) is an impairing neurodevelopmental condition highly prevalent in current populations. Several hypotheses have been proposed to explain this paradox, mainly in the context of the Paleolithic versus Neolithic cultural shift but especially within the framework of the mismatch theory. This theory elaborates on how a particular trait once favoured in an ancient environment might become maladaptive upon environmental changes. However, given the lack of genomic data available for ADHD, these theories have not been empirically tested. We took advantage of the largest GWAS meta-analysis available for this disorder consisting of over 20,000 individuals diagnosed with ADHD and 35,000 controls, to assess the evolution of ADHD-associated alleles in European populations using archaic, ancient and modern human samples. We also included Approximate Bayesian computation coupled with deep learning analyses and singleton density scores to detect human adaptation. Our analyses indicate that ADHD-associated alleles are enriched in loss of function intolerant genes, supporting the role of selective pressures in this early-onset phenotype. Furthermore, we observed that the frequency of variants associated with ADHD has steadily decreased since Paleolithic times, particularly in Paleolithic European populations compared to samples from the Neolithic Fertile Crescent. We demonstrate this trend cannot be explained by African admixture nor Neanderthal introgression, since introgressed Neanderthal alleles are enriched in ADHD risk variants. All analyses performed support the presence of long-standing selective pressures acting against ADHD-associated alleles until recent times. Overall, our results are compatible with the mismatch theory for ADHD but suggest a much older time frame for the evolution of ADHD-associated alleles compared to previous hypotheses.
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Affiliation(s)
- Paula Esteller-Cucala
- CNAG-CRG, Centre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology (BIST), Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- Institut de Biologia Evolutiva (UPF-CSIC), Barcelona, Spain
| | - Iago Maceda
- CNAG-CRG, Centre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology (BIST), Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
| | - Anders D Børglum
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus, Denmark
- Centre for Integrative Sequencing, iSEQ, and Aarhus Genome Centre, Aarhus, Denmark
- Department of Biomedicine - Human Genetics, Aarhus University, Aarhus, Denmark
| | - Ditte Demontis
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus, Denmark
- Centre for Integrative Sequencing, iSEQ, and Aarhus Genome Centre, Aarhus, Denmark
- Department of Biomedicine - Human Genetics, Aarhus University, Aarhus, Denmark
| | - Stephen V Faraone
- Departments of Psychiatry and of Neuroscience and Physiology, SUNY Upstate Medical University, Syracuse, NY, USA
| | - Bru Cormand
- Departament de Genètica, Microbiologia i Estadística, Facultat de Biologia, Universitat de Barcelona, Barcelona, Spain.
- Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), Instituto de Salud Carlos III, Madrid, Spain.
- Institut de Biomedicina de la Universitat de Barcelona (IBUB), Barcelona, Spain.
- Institut de Recerca Sant Joan de Déu (IR-SJD), Esplugues de Llobregat, Spain.
| | - Oscar Lao
- CNAG-CRG, Centre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology (BIST), Barcelona, Spain.
- Universitat Pompeu Fabra (UPF), Barcelona, Spain.
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85
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Grogan KE, Perry GH. Studying human and nonhuman primate evolutionary biology with powerful in vitro and in vivo functional genomics tools. Evol Anthropol 2020; 29:143-158. [PMID: 32142200 PMCID: PMC10574139 DOI: 10.1002/evan.21825] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2019] [Revised: 09/18/2019] [Accepted: 02/06/2020] [Indexed: 12/19/2022]
Abstract
In recent years, tools for functional genomic studies have become increasingly feasible for use by evolutionary anthropologists. In this review, we provide brief overviews of several exciting in vitro techniques that can be paired with "-omics" approaches (e.g., genomics, epigenomics, transcriptomics, proteomics, and metabolomics) for potentially powerful evolutionary insights. These in vitro techniques include ancestral protein resurrection, cell line experiments using primary, immortalized, and induced pluripotent stem cells, and CRISPR-Cas9 genetic manipulation. We also discuss how several of these methods can be used in vivo, for transgenic organism studies of human and nonhuman primate evolution. Throughout this review, we highlight example studies in which these approaches have already been used to inform our understanding of the evolutionary biology of modern and archaic humans and other primates while simultaneously identifying future opportunities for anthropologists to use this toolkit to help answer additional outstanding questions in evolutionary anthropology.
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Affiliation(s)
- Kathleen E. Grogan
- Department of Anthropology, Pennsylvania State University, University Park, PA 16802
- Department of Biology, Pennsylvania State University, University Park, PA 16802
| | - George H. Perry
- Department of Anthropology, Pennsylvania State University, University Park, PA 16802
- Department of Biology, Pennsylvania State University, University Park, PA 16802
- Huck Institutes of the Life Sciences, Pennsylvania State University, University Park, PA 16802
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86
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Skov L, Coll Macià M, Sveinbjörnsson G, Mafessoni F, Lucotte EA, Einarsdóttir MS, Jonsson H, Halldorsson B, Gudbjartsson DF, Helgason A, Schierup MH, Stefansson K. The nature of Neanderthal introgression revealed by 27,566 Icelandic genomes. Nature 2020; 582:78-83. [DOI: 10.1038/s41586-020-2225-9] [Citation(s) in RCA: 47] [Impact Index Per Article: 9.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2019] [Accepted: 02/21/2020] [Indexed: 01/08/2023]
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87
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What have the revelations about Neanderthal DNA revealed about Homo sapiens? ANTHROPOLOGICAL REVIEW 2020. [DOI: 10.2478/anre-2020-0008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
Genetic studies have presented increasing indications about the complexity of the interactions between Homo sapiens, Neanderthals and Denisovans, during Pleistocene. The results indicate potential replacement or admixture of the groups of hominins that lived in the same region at different times. Recently, the time of separation among these hominins in relation to the Last Common Ancestor – LCA has been reasonably well established. Events of mixing with emphasis on the Neanderthal gene flow into H. sapiens outside Africa, Denisovans into H. sapiens ancestors in Oceania and continental Asia, Neanderthals into Denisovans, as well as the origin of some phenotypic features in specific populations such as the color of the skin, eyes, hair and predisposition to develop certain kinds of diseases have also been found. The current information supports the existence of both replacement and interbreeding events, and indicates the need to revise the two main explanatory models, the Multiregional and the Out-of-Africa hypotheses, about the origin and evolution of H. sapiens and its co-relatives. There is definitely no longer the possibility of justifying only one model over the other. This paper aims to provide a brief review and update on the debate around this issue, considering the advances brought about by the recent genetic as well as morphological traits analyses.
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88
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Leitwein M, Duranton M, Rougemont Q, Gagnaire PA, Bernatchez L. Using Haplotype Information for Conservation Genomics. Trends Ecol Evol 2020; 35:245-258. [DOI: 10.1016/j.tree.2019.10.012] [Citation(s) in RCA: 34] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2019] [Revised: 10/18/2019] [Accepted: 10/28/2019] [Indexed: 12/19/2022]
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89
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Identifying and Interpreting Apparent Neanderthal Ancestry in African Individuals. Cell 2020; 180:677-687.e16. [PMID: 32004458 DOI: 10.1016/j.cell.2020.01.012] [Citation(s) in RCA: 108] [Impact Index Per Article: 21.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2019] [Revised: 11/13/2019] [Accepted: 01/07/2020] [Indexed: 01/27/2023]
Abstract
Admixture has played a prominent role in shaping patterns of human genomic variation, including gene flow with now-extinct hominins like Neanderthals and Denisovans. Here, we describe a novel probabilistic method called IBDmix to identify introgressed hominin sequences, which, unlike existing approaches, does not use a modern reference population. We applied IBDmix to 2,504 individuals from geographically diverse populations to identify and analyze Neanderthal sequences segregating in modern humans. Strikingly, we find that African individuals carry a stronger signal of Neanderthal ancestry than previously thought. We show that this can be explained by genuine Neanderthal ancestry due to migrations back to Africa, predominately from ancestral Europeans, and gene flow into Neanderthals from an early dispersing group of humans out of Africa. Our results refine our understanding of Neanderthal ancestry in African and non-African populations and demonstrate that remnants of Neanderthal genomes survive in every modern human population studied to date.
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90
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Drosophila melanogaster Responses against Entomopathogenic Nematodes: Focus on Hemolymph Clots. INSECTS 2020; 11:insects11010062. [PMID: 31963772 PMCID: PMC7023112 DOI: 10.3390/insects11010062] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/10/2019] [Revised: 01/11/2020] [Accepted: 01/14/2020] [Indexed: 12/28/2022]
Abstract
Several insect innate immune mechanisms are activated in response to infection by entomopathogenic nematodes (EPNs). In this review, we focus on the coagulation of hemolymph, which acts to stop bleeding after injury and prevent access of pathogens to the body cavity. After providing a general overview of invertebrate coagulation systems, we discuss recent findings in Drosophila melanogaster which demonstrate that clots protect against EPN infections. Detailed analysis at the cellular level provided insight into the kinetics of the secretion of Drosophila coagulation factors, including non-classical modes of secretion. Roughly, clot formation can be divided into a primary phase in which crosslinking of clot components depends on the activity of Drosophila transglutaminase and a secondary, phenoloxidase (PO)-dependent phase, characterized by further hardening and melanization of the clot matrix. These two phases appear to play distinct roles in two commonly used EPN infection models, namely Heterorhabditis bacteriophora and Steinernema carpocapsae. Finally, we discuss the implications of the coevolution between parasites such as EPNs and their hosts for the dynamics of coagulation factor evolution.
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91
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Gouy A, Excoffier L. Polygenic Patterns of Adaptive Introgression in Modern Humans Are Mainly Shaped by Response to Pathogens. Mol Biol Evol 2020; 37:1420-1433. [DOI: 10.1093/molbev/msz306] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Abstract
AbstractAnatomically modern humans carry many introgressed variants from other hominins in their genomes. Some of them affect their phenotype and can thus be negatively or positively selected. Several individual genes have been proposed to be the subject of adaptive introgression, but the possibility of polygenic adaptive introgression has not been extensively investigated yet. In this study, we analyze archaic introgression maps with refined functional enrichment methods to find signals of polygenic adaptation of introgressed variants. We first apply a method to detect sets of connected genes (subnetworks) within biological pathways that present higher-than-expected levels of archaic introgression. We then introduce and apply a new statistical test to distinguish between epistatic and independent selection in gene sets of present-day humans. We identify several known targets of adaptive introgression, and we show that they belong to larger networks of introgressed genes. After correction for genetic linkage, we find that signals of polygenic adaptation are mostly explained by independent and potentially sequential selection episodes. However, we also find some gene sets where introgressed variants present significant signals of epistatic selection. Our results confirm that archaic introgression has facilitated local adaptation, especially in immunity related and metabolic functions and highlight its involvement in a coordinated response to pathogens out of Africa.
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Affiliation(s)
- Alexandre Gouy
- Institute of Ecology and Evolution, University of Berne, Berne 3012, Switzerland
- Swiss Institute of Bioinformatics, Lausanne 1015, Switzerland
| | - Laurent Excoffier
- Institute of Ecology and Evolution, University of Berne, Berne 3012, Switzerland
- Swiss Institute of Bioinformatics, Lausanne 1015, Switzerland
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92
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Affiliation(s)
- Maxime Rotival
- Unit of Human Evolutionary Genetics, CNRS UMR2000, Institut Pasteur, 75015, Paris, France
| | - Lluis Quintana-Murci
- Unit of Human Evolutionary Genetics, CNRS UMR2000, Institut Pasteur, 75015, Paris, France.
- Chair Human Genomics & Evolution, Collège de France, 75005, Paris, France.
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93
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Lawson DJ, Davies NM, Haworth S, Ashraf B, Howe L, Crawford A, Hemani G, Davey Smith G, Timpson NJ. Is population structure in the genetic biobank era irrelevant, a challenge, or an opportunity? Hum Genet 2020; 139:23-41. [PMID: 31030318 PMCID: PMC6942007 DOI: 10.1007/s00439-019-02014-8] [Citation(s) in RCA: 57] [Impact Index Per Article: 11.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2018] [Accepted: 04/12/2019] [Indexed: 12/11/2022]
Abstract
Replicable genetic association signals have consistently been found through genome-wide association studies in recent years. The recent dramatic expansion of study sizes improves power of estimation of effect sizes, genomic prediction, causal inference, and polygenic selection, but it simultaneously increases susceptibility of these methods to bias due to subtle population structure. Standard methods using genetic principal components to correct for structure might not always be appropriate and we use a simulation study to illustrate when correction might be ineffective for avoiding biases. New methods such as trans-ethnic modeling and chromosome painting allow for a richer understanding of the relationship between traits and population structure. We illustrate the arguments using real examples (stroke and educational attainment) and provide a more nuanced understanding of population structure, which is set to be revisited as a critical aspect of future analyses in genetic epidemiology. We also make simple recommendations for how problems can be avoided in the future. Our results have particular importance for the implementation of GWAS meta-analysis, for prediction of traits, and for causal inference.
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Affiliation(s)
- Daniel John Lawson
- MRC Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Oakfield House, Oakfield Grove, Bristol, BS8 2BN, UK.
| | - Neil Martin Davies
- MRC Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Oakfield House, Oakfield Grove, Bristol, BS8 2BN, UK
| | - Simon Haworth
- MRC Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Oakfield House, Oakfield Grove, Bristol, BS8 2BN, UK
| | - Bilal Ashraf
- MRC Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Oakfield House, Oakfield Grove, Bristol, BS8 2BN, UK
| | - Laurence Howe
- Institute of Cardiovascular Science, Faculty of Population Health Sciences, University College London, Gower Street, London, WC1E 6BT, UK
| | - Andrew Crawford
- MRC Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Oakfield House, Oakfield Grove, Bristol, BS8 2BN, UK
| | - Gibran Hemani
- MRC Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Oakfield House, Oakfield Grove, Bristol, BS8 2BN, UK
| | - George Davey Smith
- MRC Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Oakfield House, Oakfield Grove, Bristol, BS8 2BN, UK
| | - Nicholas John Timpson
- MRC Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Oakfield House, Oakfield Grove, Bristol, BS8 2BN, UK
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94
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Šimčíková D, Heneberg P. Refinement of evolutionary medicine predictions based on clinical evidence for the manifestations of Mendelian diseases. Sci Rep 2019; 9:18577. [PMID: 31819097 PMCID: PMC6901466 DOI: 10.1038/s41598-019-54976-4] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2018] [Accepted: 11/21/2019] [Indexed: 12/28/2022] Open
Abstract
Prediction methods have become an integral part of biomedical and biotechnological research. However, their clinical interpretations are largely based on biochemical or molecular data, but not clinical data. Here, we focus on improving the reliability and clinical applicability of prediction algorithms. We assembled and curated two large non-overlapping large databases of clinical phenotypes. These phenotypes were caused by missense variations in 44 and 63 genes associated with Mendelian diseases. We used these databases to establish and validate the model, allowing us to improve the predictions obtained from EVmutation, SNAP2 and PoPMuSiC 2.1. The predictions of clinical effects suffered from a lack of specificity, which appears to be the common constraint of all recently used prediction methods, although predictions mediated by these methods are associated with nearly absolute sensitivity. We introduced evidence-based tailoring of the default settings of the prediction methods; this tailoring substantially improved the prediction outcomes. Additionally, the comparisons of the clinically observed and theoretical variations led to the identification of large previously unreported pools of variations that were under negative selection during molecular evolution. The evolutionary variation analysis approach described here is the first to enable the highly specific identification of likely disease-causing missense variations that have not yet been associated with any clinical phenotype.
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Affiliation(s)
- Daniela Šimčíková
- Charles University, Third Faculty of Medicine, Prague, Czech Republic
| | - Petr Heneberg
- Charles University, Third Faculty of Medicine, Prague, Czech Republic.
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95
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Karban ME. Occipital hemi-bun development and shape covariation in a longitudinal extant human growth sample. AMERICAN JOURNAL OF PHYSICAL ANTHROPOLOGY 2019; 172:123-134. [PMID: 31797354 DOI: 10.1002/ajpa.23981] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/15/2019] [Revised: 10/11/2019] [Accepted: 11/20/2019] [Indexed: 11/10/2022]
Abstract
OBJECTIVES Although the homology of the Neanderthal occipital bun and anatomically modern human "hemi-bun" has long been debated, little is known about the developmental timing and patterning of these two patterns of prominent occipital squama convexity. In this study, occipital hemi-bun ontogeny and cranial shape covariation are assessed in a comparative extant human sample. MATERIALS AND METHODS Two-dimensional geometric morphometric methods were used to investigate hemi-bun development in a longitudinal sample of growth study cephalograms representing extant human subjects predominantly of European ancestry. Subjects were each measured at three distinct age points, ranging from 3.0 to 20.4 years, and two-block partial least squares analysis was used to assess patterns of covariation between midsagittal occipital bone morphology and other aspects of craniofacial shape. RESULTS Occipital hemi-bun morphology, when present, was found to develop early in ontogeny, in association with anteroposterior elongation of the frontal and parietal bones. No significant pattern of covariation was found between occipital hemi-bun shape and cranial/basicranial breadth, basicranial length, basicranial angle, or midfacial prognathism. DISCUSSION This study suggests that the occipital hemi-bun, at least in this extant human population, should not be considered an independent trait, as its development is closely linked to shape variation in the frontal and parietal bones. Importantly, these results suggest that occipital hemi-bun morphology is not significantly influenced by basicranial morphology during development, but instead covaries with changes in midsagittal neurocranial vault shape.
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96
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Identification of African-Specific Admixture between Modern and Archaic Humans. Am J Hum Genet 2019; 105:1254-1261. [PMID: 31809748 DOI: 10.1016/j.ajhg.2019.11.005] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2018] [Accepted: 11/03/2019] [Indexed: 11/21/2022] Open
Abstract
Recent work has demonstrated that two archaic human groups (Neanderthals and Denisovans) interbred with modern humans and contributed to the contemporary human gene pool. These findings relied on the availability of high-coverage genomes from both Neanderthals and Denisovans. Here we search for evidence of archaic admixture from a worldwide panel of 1,667 individuals using an approach that does not require the presence of an archaic human reference genome. We find no evidence for archaic admixture in the Andaman Islands, as previously claimed, or on the island of Flores, where Homo floresiensis fossils have been found. However, we do find evidence for at least one archaic admixture event in sub-Saharan Africa, with the strongest signal in Khoesan and Pygmy individuals from Southern and Central Africa. The locations of these putative archaic admixture tracts are weighted against functional regions of the genome, consistent with the long-term effects of purifying selection against introgressed genetic material.
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97
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Mata X, Renaud G, Mollereau C. The repertoire of family A-peptide GPCRs in archaic hominins. Peptides 2019; 122:170154. [PMID: 31560950 DOI: 10.1016/j.peptides.2019.170154] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/13/2019] [Revised: 09/11/2019] [Accepted: 09/13/2019] [Indexed: 12/30/2022]
Abstract
Given the importance of G-protein coupled receptors in the regulation of many physiological functions, deciphering the relationships between genotype and phenotype in past and present hominin GPCRs is of main interest to understand the evolutionary process that contributed to the present-day variability in human traits and health. Here, we carefully examined the publicly available genomic and protein sequence databases of the archaic hominins (Neanderthal and Denisova) to draw up the catalog of coding variations in GPCRs for peptide ligands, in comparison with living humans. We then searched in the literature the functional changes, phenotypes and risk of disease possibly associated with the detected variants. Our survey suggests that Neanderthal and Denisovan hominins were likely prone to lower risk of obesity, to enhanced platelet aggregation in response to thrombin, to better response to infection, to less anxiety and aggressiveness and to favorable sociability. While some archaic variants were likely advantageous in the past, they might be responsible for maladaptive disorders today in the context of modern life and/or specific regional distribution. For example, an archaic haplotype in the neuromedin receptor 2 is susceptible to confer risk of diabetic nephropathy in type 1 diabetes in present-day Europeans. Paying attention to the pharmacological properties of some of the archaic variants described in this study may be helpful to understand the variability of therapeutic efficacy between individuals or ethnic groups.
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Affiliation(s)
- Xavier Mata
- Laboratoire Anthropologie Moléculaire et Imagerie de Synthèse (AMIS), Université de Toulouse, CNRS, UPS, Toulouse, France
| | - Gabriel Renaud
- Centre for GeoGenetics, Natural History Museum of Denmark, University of Copenhagen, Copenhagen K, Denmark
| | - Catherine Mollereau
- Laboratoire Anthropologie Moléculaire et Imagerie de Synthèse (AMIS), Université de Toulouse, CNRS, UPS, Toulouse, France.
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98
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Wu P, Gifford A, Meng X, Li X, Campbell H, Varley T, Zhao J, Carroll R, Bastarache L, Denny JC, Theodoratou E, Wei WQ. Mapping ICD-10 and ICD-10-CM Codes to Phecodes: Workflow Development and Initial Evaluation. JMIR Med Inform 2019; 7:e14325. [PMID: 31553307 PMCID: PMC6911227 DOI: 10.2196/14325] [Citation(s) in RCA: 317] [Impact Index Per Article: 52.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2019] [Revised: 08/03/2019] [Accepted: 09/24/2019] [Indexed: 01/03/2023] Open
Abstract
BACKGROUND The phecode system was built upon the International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) for phenome-wide association studies (PheWAS) using the electronic health record (EHR). OBJECTIVE The goal of this paper was to develop and perform an initial evaluation of maps from the International Classification of Diseases, 10th Revision (ICD-10) and the International Classification of Diseases, 10th Revision, Clinical Modification (ICD-10-CM) codes to phecodes. METHODS We mapped ICD-10 and ICD-10-CM codes to phecodes using a number of methods and resources, such as concept relationships and explicit mappings from the Centers for Medicare & Medicaid Services, the Unified Medical Language System, Observational Health Data Sciences and Informatics, Systematized Nomenclature of Medicine-Clinical Terms, and the National Library of Medicine. We assessed the coverage of the maps in two databases: Vanderbilt University Medical Center (VUMC) using ICD-10-CM and the UK Biobank (UKBB) using ICD-10. We assessed the fidelity of the ICD-10-CM map in comparison to the gold-standard ICD-9-CM phecode map by investigating phenotype reproducibility and conducting a PheWAS. RESULTS We mapped >75% of ICD-10 and ICD-10-CM codes to phecodes. Of the unique codes observed in the UKBB (ICD-10) and VUMC (ICD-10-CM) cohorts, >90% were mapped to phecodes. We observed 70-75% reproducibility for chronic diseases and <10% for an acute disease for phenotypes sourced from the ICD-10-CM phecode map. Using the ICD-9-CM and ICD-10-CM maps, we conducted a PheWAS with a Lipoprotein(a) genetic variant, rs10455872, which replicated two known genotype-phenotype associations with similar effect sizes: coronary atherosclerosis (ICD-9-CM: P<.001; odds ratio (OR) 1.60 [95% CI 1.43-1.80] vs ICD-10-CM: P<.001; OR 1.60 [95% CI 1.43-1.80]) and chronic ischemic heart disease (ICD-9-CM: P<.001; OR 1.56 [95% CI 1.35-1.79] vs ICD-10-CM: P<.001; OR 1.47 [95% CI 1.22-1.77]). CONCLUSIONS This study introduces the beta versions of ICD-10 and ICD-10-CM to phecode maps that enable researchers to leverage accumulated ICD-10 and ICD-10-CM data for PheWAS in the EHR.
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Affiliation(s)
- Patrick Wu
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, United States
- Medical Scientist Training Program, Vanderbilt University School of Medicine, Nashville, TN, United States
| | - Aliya Gifford
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, United States
| | - Xiangrui Meng
- Centre for Global Health Research, Usher Institute of Population Health Sciences and Informatics, The University of Edinburgh, Edinburgh, United Kingdom
| | - Xue Li
- Centre for Global Health Research, Usher Institute of Population Health Sciences and Informatics, The University of Edinburgh, Edinburgh, United Kingdom
| | - Harry Campbell
- Centre for Global Health Research, Usher Institute of Population Health Sciences and Informatics, The University of Edinburgh, Edinburgh, United Kingdom
| | - Tim Varley
- Public Health and Intelligence Strategic Business Unit, National Services Scotland, Edinburgh, United Kingdom
| | - Juan Zhao
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, United States
| | - Robert Carroll
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, United States
| | - Lisa Bastarache
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, United States
| | - Joshua C Denny
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, United States
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, United States
| | - Evropi Theodoratou
- Centre for Global Health Research, Usher Institute of Population Health Sciences and Informatics, The University of Edinburgh, Edinburgh, United Kingdom
- Edinburgh Cancer Research Centre, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, United Kingdom
| | - Wei-Qi Wei
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, United States
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99
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Gokcumen O. Archaic hominin introgression into modern human genomes. AMERICAN JOURNAL OF PHYSICAL ANTHROPOLOGY 2019; 171 Suppl 70:60-73. [PMID: 31702050 DOI: 10.1002/ajpa.23951] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/02/2019] [Revised: 10/04/2019] [Accepted: 10/08/2019] [Indexed: 01/01/2023]
Abstract
Ancient genomes from multiple Neanderthal and the Denisovan individuals, along with DNA sequence data from diverse contemporary human populations strongly support the prevalence of gene flow among different hominins. Recent studies now provide evidence for multiple gene flow events that leave genetic signatures in extant and ancient human populations. These events include older gene flow from an unknown hominin in Africa predating out-of-Africa migrations, and in the last 50,000-100,000 years, multiple gene flow events from Neanderthals into ancestral Eurasian human populations, and at least three distinct introgression events from a lineage close to Denisovans into ancestors of extant Southeast Asian and Oceanic populations. Some of these introgression events may have happened as late as 20,000 years before present and reshaped the way in which we think about human evolution. In this review, I aim to answer anthropologically relevant questions with regard to recent research on ancient hominin introgression in the human lineage. How have genomic data from archaic hominins changed our view of human evolution? Is there any doubt about whether introgression from ancient hominins to the ancestors of present-day humans occurred? What is the current view of human evolutionary history from the genomics perspective? What is the impact of introgression on human phenotypes?
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Affiliation(s)
- Omer Gokcumen
- Department of Biological Sciences, North Campus, University at Buffalo, Buffalo, New York
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100
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Colbran LL, Gamazon ER, Zhou D, Evans P, Cox NJ, Capra JA. Inferred divergent gene regulation in archaic hominins reveals potential phenotypic differences. Nat Ecol Evol 2019; 3:1598-1606. [PMID: 31591491 PMCID: PMC7046098 DOI: 10.1038/s41559-019-0996-x] [Citation(s) in RCA: 33] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2018] [Accepted: 08/27/2019] [Indexed: 01/01/2023]
Abstract
Sequencing DNA derived from archaic bones has enabled genetic comparison of Neanderthals and anatomically modern humans (AMHs), and revealed that they interbred. However, interpreting what genetic differences imply about their phenotypic differences remains challenging. Here, we introduce an approach for identifying divergent gene regulation between archaic hominins, such as Neanderthals, and AMH sequences, and find 766 genes that are likely to have been divergently regulated (DR) by Neanderthal haplotypes that do not remain in AMHs. DR genes include many involved in phenotypes known to differ between Neanderthals and AMHs, such as the structure of the rib cage and supraorbital ridge development. They are also enriched for genes associated with spontaneous abortion, polycystic ovary syndrome, myocardial infarction and melanoma. Phenotypes associated with modern human variation in these genes' regulation in ~23,000 biobank patients further support their involvement in immune and cardiovascular phenotypes. Comparing DR genes between two Neanderthals and a Denisovan revealed divergence in the immune system and in genes associated with skeletal and dental morphology that are consistent with the archaeological record. These results establish differences in gene regulatory architecture between AMHs and archaic hominins, and provide an avenue for exploring phenotypic differences between archaic groups from genomic information alone.
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Affiliation(s)
- Laura L Colbran
- Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Eric R Gamazon
- Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN, USA
- Division of Genetic Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
- Clare Hall, University of Cambridge, Cambridge, UK
| | - Dan Zhou
- Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN, USA
- Division of Genetic Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Patrick Evans
- Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN, USA
- Division of Genetic Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Nancy J Cox
- Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN, USA
- Division of Genetic Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - John A Capra
- Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN, USA.
- Department of Biological Sciences, Vanderbilt University, Nashville, TN, USA.
- Department Biomedical Informatics, Vanderbilt University, Nashville, TN, USA.
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