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Wang Y, Duchen P, Chávez A, Sree KS, Appenroth KJ, Zhao H, Höfer M, Huber M, Xu S. Population genomics and epigenomics of Spirodela polyrhiza provide insights into the evolution of facultative asexuality. Commun Biol 2024; 7:581. [PMID: 38755313 PMCID: PMC11099151 DOI: 10.1038/s42003-024-06266-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2023] [Accepted: 04/30/2024] [Indexed: 05/18/2024] Open
Abstract
Many plants are facultatively asexual, balancing short-term benefits with long-term costs of asexuality. During range expansion, natural selection likely influences the genetic controls of asexuality in these organisms. However, evidence of natural selection driving asexuality is limited, and the evolutionary consequences of asexuality on the genomic and epigenomic diversity remain controversial. We analyzed population genomes and epigenomes of Spirodela polyrhiza, (L.) Schleid., a facultatively asexual plant that flowers rarely, revealing remarkably low genomic diversity and DNA methylation levels. Within species, demographic history and the frequency of asexual reproduction jointly determined intra-specific variations of genomic diversity and DNA methylation levels. Genome-wide scans revealed that genes associated with stress adaptations, flowering and embryogenesis were under positive selection. These data are consistent with the hypothesize that natural selection can shape the evolution of asexuality during habitat expansions, which alters genomic and epigenomic diversity levels.
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Affiliation(s)
- Yangzi Wang
- Institute of Organismic and Molecular Evolution, University of Mainz, 55128, Mainz, Germany
- Institute for Evolution and Biodiversity, University of Münster, 48161, Münster, Germany
| | - Pablo Duchen
- Institute of Organismic and Molecular Evolution, University of Mainz, 55128, Mainz, Germany
- Institute for Evolution and Biodiversity, University of Münster, 48161, Münster, Germany
| | - Alexandra Chávez
- Institute of Organismic and Molecular Evolution, University of Mainz, 55128, Mainz, Germany
- Institute for Evolution and Biodiversity, University of Münster, 48161, Münster, Germany
- Institute of Plant Biology and Biotechnology, University of Münster, 48161, Münster, Germany
| | - K Sowjanya Sree
- Department of Environmental Science, Central University of Kerala, Periya, 671320, India
| | - Klaus J Appenroth
- Matthias Schleiden Institute - Plant Physiology, Friedrich Schiller University of Jena, 07743, Jena, Germany
| | - Hai Zhao
- Chengdu Institute of Biology, Chinese Academy of Sciences, 6100641, Chengdu, China
| | - Martin Höfer
- Institute of Organismic and Molecular Evolution, University of Mainz, 55128, Mainz, Germany
- Institute for Evolution and Biodiversity, University of Münster, 48161, Münster, Germany
| | - Meret Huber
- Institute of Organismic and Molecular Evolution, University of Mainz, 55128, Mainz, Germany
- Institute of Plant Biology and Biotechnology, University of Münster, 48161, Münster, Germany
| | - Shuqing Xu
- Institute of Organismic and Molecular Evolution, University of Mainz, 55128, Mainz, Germany.
- Institute for Evolution and Biodiversity, University of Münster, 48161, Münster, Germany.
- Institute for Quantitative and Computational Biosciences, University of Mainz, 55218, Mainz, Germany.
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2
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Peyrégne S, Slon V, Kelso J. More than a decade of genetic research on the Denisovans. Nat Rev Genet 2024; 25:83-103. [PMID: 37723347 DOI: 10.1038/s41576-023-00643-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/19/2023] [Indexed: 09/20/2023]
Abstract
Denisovans, a group of now extinct humans who lived in Eastern Eurasia in the Middle and Late Pleistocene, were first identified from DNA sequences just over a decade ago. Only ten fragmentary remains from two sites have been attributed to Denisovans based entirely on molecular information. Nevertheless, there has been great interest in using genetic data to understand Denisovans and their place in human history. From the reconstruction of a single high-quality genome, it has been possible to infer their population history, including events of admixture with other human groups. Additionally, the identification of Denisovan DNA in the genomes of present-day individuals has provided insights into the timing and routes of dispersal of ancient modern humans into Asia and Oceania, as well as the contributions of archaic DNA to the physiology of present-day people. In this Review, we synthesize more than a decade of research on Denisovans, reconcile controversies and summarize insights into their population history and phenotype. We also highlight how our growing knowledge about Denisovans has provided insights into our own evolutionary history.
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Affiliation(s)
- Stéphane Peyrégne
- Department of Evolutionary Genetics, Max-Planck-Institute for Evolutionary Anthropology, Leipzig, Germany.
| | - Viviane Slon
- Department of Evolutionary Genetics, Max-Planck-Institute for Evolutionary Anthropology, Leipzig, Germany
- Department of Anatomy and Anthropology, Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
- Department of Human Molecular Genetics and Biochemistry, Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
- The Dan David Center for Human Evolution and Biohistory Research, Tel Aviv University, Tel Aviv, Israel
| | - Janet Kelso
- Department of Evolutionary Genetics, Max-Planck-Institute for Evolutionary Anthropology, Leipzig, Germany.
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3
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Amin MR, Hasan M, Arnab SP, DeGiorgio M. Tensor Decomposition-based Feature Extraction and Classification to Detect Natural Selection from Genomic Data. Mol Biol Evol 2023; 40:msad216. [PMID: 37772983 PMCID: PMC10581699 DOI: 10.1093/molbev/msad216] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2023] [Revised: 08/10/2023] [Accepted: 09/14/2023] [Indexed: 09/30/2023] Open
Abstract
Inferences of adaptive events are important for learning about traits, such as human digestion of lactose after infancy and the rapid spread of viral variants. Early efforts toward identifying footprints of natural selection from genomic data involved development of summary statistic and likelihood methods. However, such techniques are grounded in simple patterns or theoretical models that limit the complexity of settings they can explore. Due to the renaissance in artificial intelligence, machine learning methods have taken center stage in recent efforts to detect natural selection, with strategies such as convolutional neural networks applied to images of haplotypes. Yet, limitations of such techniques include estimation of large numbers of model parameters under nonconvex settings and feature identification without regard to location within an image. An alternative approach is to use tensor decomposition to extract features from multidimensional data although preserving the latent structure of the data, and to feed these features to machine learning models. Here, we adopt this framework and present a novel approach termed T-REx, which extracts features from images of haplotypes across sampled individuals using tensor decomposition, and then makes predictions from these features using classical machine learning methods. As a proof of concept, we explore the performance of T-REx on simulated neutral and selective sweep scenarios and find that it has high power and accuracy to discriminate sweeps from neutrality, robustness to common technical hurdles, and easy visualization of feature importance. Therefore, T-REx is a powerful addition to the toolkit for detecting adaptive processes from genomic data.
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Affiliation(s)
- Md Ruhul Amin
- Department of Electrical Engineering and Computer Science, Florida Atlantic University, Boca Raton, FL 33431, USA
| | - Mahmudul Hasan
- Department of Electrical Engineering and Computer Science, Florida Atlantic University, Boca Raton, FL 33431, USA
| | - Sandipan Paul Arnab
- Department of Electrical Engineering and Computer Science, Florida Atlantic University, Boca Raton, FL 33431, USA
| | - Michael DeGiorgio
- Department of Electrical Engineering and Computer Science, Florida Atlantic University, Boca Raton, FL 33431, USA
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4
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Amin MR, Hasan M, Arnab SP, DeGiorgio M. Tensor decomposition based feature extraction and classification to detect natural selection from genomic data. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.03.27.527731. [PMID: 37034767 PMCID: PMC10081272 DOI: 10.1101/2023.03.27.527731] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/19/2023]
Abstract
Inferences of adaptive events are important for learning about traits, such as human digestion of lactose after infancy and the rapid spread of viral variants. Early efforts toward identifying footprints of natural selection from genomic data involved development of summary statistic and likelihood methods. However, such techniques are grounded in simple patterns or theoretical models that limit the complexity of settings they can explore. Due to the renaissance in artificial intelligence, machine learning methods have taken center stage in recent efforts to detect natural selection, with strategies such as convolutional neural networks applied to images of haplotypes. Yet, limitations of such techniques include estimation of large numbers of model parameters under non-convex settings and feature identification without regard to location within an image. An alternative approach is to use tensor decomposition to extract features from multidimensional data while preserving the latent structure of the data, and to feed these features to machine learning models. Here, we adopt this framework and present a novel approach termed T-REx , which extracts features from images of haplotypes across sampled individuals using tensor decomposition, and then makes predictions from these features using classical machine learning methods. As a proof of concept, we explore the performance of T-REx on simulated neutral and selective sweep scenarios and find that it has high power and accuracy to discriminate sweeps from neutrality, robustness to common technical hurdles, and easy visualization of feature importance. Therefore, T-REx is a powerful addition to the toolkit for detecting adaptive processes from genomic data.
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5
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Genomics-informed prebreeding unlocks the diversity in genebanks for wheat improvement. Nat Genet 2022; 54:1544-1552. [DOI: 10.1038/s41588-022-01189-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2021] [Accepted: 08/18/2022] [Indexed: 11/06/2022]
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6
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Pawar H, Ostridge HJ, Schmidt JM, Andrés AM. Genetic adaptations to SIV across chimpanzee populations. PLoS Genet 2022; 18:e1010337. [PMID: 36007015 PMCID: PMC9467346 DOI: 10.1371/journal.pgen.1010337] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2021] [Revised: 09/12/2022] [Accepted: 07/12/2022] [Indexed: 11/18/2022] Open
Abstract
Central and eastern chimpanzees are infected with Simian Immunodeficiency Virus (SIV) in the wild, typically without developing acute immunodeficiency. Yet the recent zoonotic transmission of chimpanzee SIV to humans, which were naïve to the virus, gave rise to the Human Immunodeficiency Virus (HIV), which causes AIDS and is responsible for one of the deadliest pandemics in human history. Chimpanzees have likely been infected with SIV for tens of thousands of years and have likely evolved to reduce its pathogenicity, becoming semi-natural hosts that largely tolerate the virus. In support of this view, central and eastern chimpanzees show evidence of positive selection in genes involved in SIV/HIV cell entry and immune response to SIV, respectively. We hypothesise that the population first infected by SIV would have experienced the strongest selective pressure to control the lethal potential of zoonotic SIV, and that population genetics will reveal those first critical adaptations. With that aim we used population genetics to investigate signatures of positive selection in the common ancestor of central-eastern chimpanzees. The genes with signatures of positive selection in the ancestral population are significantly enriched in SIV-related genes, especially those involved in the immune response to SIV and those encoding for host genes that physically interact with SIV/HIV (VIPs). This supports a scenario where SIV first infected the central-eastern ancestor and where this population was under strong pressure to adapt to zoonotic SIV. Interestingly, integrating these genes with candidates of positive selection in the two infected subspecies reveals novel patterns of adaptation to SIV. Specifically, we observe evidence of positive selection in numerous steps of the biological pathway responsible for T-helper cell differentiation, including CD4 and multiple genes that SIV/HIV use to infect and control host cells. This pathway is active only in CD4+ cells which SIV/HIV infects, and it plays a crucial role in shaping the immune response so it can efficiently control the virus. Our results confirm the importance of SIV as a selective factor, identify specific genetic changes that may have allowed our closest living relatives to reduce SIV’s pathogenicity, and demonstrate the potential of population genomics to reveal the evolutionary mechanisms used by naïve hosts to reduce the pathogenicity of zoonotic pathogens. Chimpanzees are at the origin of HIV-1, a virus that generates an incurable disease and that generated a pandemic that has claimed 35 million lives. Chimpanzees have evolved to control the pathogenicity of the virus, which does not typically develop into AIDS in the same way as in humans. Identifying the genetic adaptations responsible for this process provides critical knowledge about SIV and HIV. Our analysis of chimpanzee genetic adaptations identified specific genes and molecular pathways involved in adaptation to SIV, providing important insights into the mechanisms that likely allowed our closest living relatives to control SIV/HIV. Further, we establish SIV as a strong and recurrent selective pressure in central and eastern chimpanzees, two important subspecies of large mammals that are currently endangered.
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Affiliation(s)
- Harvinder Pawar
- UCL Genetics Institute, Department of Genetics, Evolution and Environment, University College London, London, United Kingdom
| | - Harrison J. Ostridge
- UCL Genetics Institute, Department of Genetics, Evolution and Environment, University College London, London, United Kingdom
| | - Joshua M. Schmidt
- UCL Genetics Institute, Department of Genetics, Evolution and Environment, University College London, London, United Kingdom
- Department of Ecology and Evolution, School of Biological Sciences, University of Adelaide, Adelaide, Australia
- * E-mail: (JMS); (AMA)
| | - Aida M. Andrés
- UCL Genetics Institute, Department of Genetics, Evolution and Environment, University College London, London, United Kingdom
- * E-mail: (JMS); (AMA)
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7
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Lin X, Zhang N, Song H, Lin K, Pang E. Population-specific, recent positive selection signatures in cultivated Cucumis sativus L. (cucumber). G3 GENES|GENOMES|GENETICS 2022; 12:6585339. [PMID: 35554526 PMCID: PMC9258548 DOI: 10.1093/g3journal/jkac119] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/17/2022] [Accepted: 05/03/2022] [Indexed: 11/13/2022]
Abstract
Population-specific, positive selection promotes the diversity of populations and drives local adaptations in the population. However, little is known about population-specific, recent positive selection in the populations of cultivated cucumber (Cucumis sativus L.). Based on a genomic variation map of individuals worldwide, we implemented a Fisher’s combination method by combining 4 haplotype-based approaches: integrated haplotype score (iHS), number of segregating sites by length (nSL), cross-population extended haplotype homozygosity (XP-EHH), and Rsb. Overall, we detected 331, 2,147, and 3,772 population-specific, recent positive selective sites in the East Asian, Eurasian, and Xishuangbanna populations, respectively. Moreover, we found that these sites were related to processes for reproduction, response to abiotic and biotic stress, and regulation of developmental processes, indicating adaptations to their microenvironments. Meanwhile, the selective genes associated with traits of fruits were also observed, such as the gene related to the shorter fruit length in the Eurasian population and the gene controlling flesh thickness in the Xishuangbanna population. In addition, we noticed that soft sweeps were common in the East Asian and Xishuangbanna populations. Genes involved in hard or soft sweeps were related to developmental regulation and abiotic and biotic stress resistance. Our study offers a comprehensive candidate dataset of population-specific, selective signatures in cultivated cucumber populations. Our methods provide guidance for the analysis of population-specific, positive selection. These findings will help explore the biological mechanisms of adaptation and domestication of cucumber.
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Affiliation(s)
- Xinrui Lin
- MOE Key Laboratory for Biodiversity Science and Ecological Engineering and Beijing Key Laboratory of Gene Resource and Molecular Development, College of Life Sciences, Beijing Normal University , Beijing 100875, China
| | - Ning Zhang
- MOE Key Laboratory for Biodiversity Science and Ecological Engineering and Beijing Key Laboratory of Gene Resource and Molecular Development, College of Life Sciences, Beijing Normal University , Beijing 100875, China
| | - Hongtao Song
- MOE Key Laboratory for Biodiversity Science and Ecological Engineering and Beijing Key Laboratory of Gene Resource and Molecular Development, College of Life Sciences, Beijing Normal University , Beijing 100875, China
| | - Kui Lin
- MOE Key Laboratory for Biodiversity Science and Ecological Engineering and Beijing Key Laboratory of Gene Resource and Molecular Development, College of Life Sciences, Beijing Normal University , Beijing 100875, China
| | - Erli Pang
- MOE Key Laboratory for Biodiversity Science and Ecological Engineering and Beijing Key Laboratory of Gene Resource and Molecular Development, College of Life Sciences, Beijing Normal University , Beijing 100875, China
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8
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Temporal mapping of derived high-frequency gene variants supports the mosaic nature of the evolution of Homo sapiens. Sci Rep 2022; 12:9937. [PMID: 35705575 PMCID: PMC9200848 DOI: 10.1038/s41598-022-13589-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2022] [Accepted: 05/25/2022] [Indexed: 11/25/2022] Open
Abstract
Large-scale estimations of the time of emergence of variants are essential to examine hypotheses concerning human evolution with precision. Using an open repository of genetic variant age estimations, we offer here a temporal evaluation of various evolutionarily relevant datasets, such as Homo sapiens-specific variants, high-frequency variants found in genetic windows under positive selection, introgressed variants from extinct human species, as well as putative regulatory variants specific to various brain regions. We find a recurrent bimodal distribution of high-frequency variants, but also evidence for specific enrichments of gene categories in distinct time windows, pointing to different periods of phenotypic changes, resulting in a mosaic. With a temporal classification of genetic mutations in hand, we then applied a machine learning tool to predict what genes have changed more in certain time windows, and which tissues these genes may have impacted more. Overall, we provide a fine-grained temporal mapping of derived variants in Homo sapiens that helps to illuminate the intricate evolutionary history of our species.
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9
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Kolesnikov NA, Kharkov VN, Zarubin AA, Voevoda MI, Gubina MA, Shtygasheva OV, Maksimova NR, Sukhomyasova AL, Stepanov VA. Signals of Directed Selection in the Indigenous Populations of Siberia. RUSS J GENET+ 2022. [DOI: 10.1134/s102279542204007x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
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10
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Bednarik RG, Saniotis A, Henneberg M. Auto-domestication hypothesis and the rise in mental disorders in modern humans. Med Hypotheses 2022. [DOI: 10.1016/j.mehy.2022.110874] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
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11
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DeGiorgio M, Szpiech ZA. A spatially aware likelihood test to detect sweeps from haplotype distributions. PLoS Genet 2022; 18:e1010134. [PMID: 35404934 PMCID: PMC9022890 DOI: 10.1371/journal.pgen.1010134] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2021] [Revised: 04/21/2022] [Accepted: 03/04/2022] [Indexed: 01/13/2023] Open
Abstract
The inference of positive selection in genomes is a problem of great interest in evolutionary genomics. By identifying putative regions of the genome that contain adaptive mutations, we are able to learn about the biology of organisms and their evolutionary history. Here we introduce a composite likelihood method that identifies recently completed or ongoing positive selection by searching for extreme distortions in the spatial distribution of the haplotype frequency spectrum along the genome relative to the genome-wide expectation taken as neutrality. Furthermore, the method simultaneously infers two parameters of the sweep: the number of sweeping haplotypes and the “width” of the sweep, which is related to the strength and timing of selection. We demonstrate that this method outperforms the leading haplotype-based selection statistics, though strong signals in low-recombination regions merit extra scrutiny. As a positive control, we apply it to two well-studied human populations from the 1000 Genomes Project and examine haplotype frequency spectrum patterns at the LCT and MHC loci. We also apply it to a data set of brown rats sampled in NYC and identify genes related to olfactory perception. To facilitate use of this method, we have implemented it in user-friendly open source software. Identifying regions of the genome that contain adaptive variation is of fundamental interest in evolutionary biology, providing insight into an organism’s history and biology. When positive selection is recent or ongoing, we expect to find genomic patterns such as high frequency haplotypes and low genetic diversity in the vicinity of the adaptive locus. Here we develop a statistic to identify these regions based on distortions of the haplotype frequency spectrum from a background distribution. We evaluate the performance of this statistic under numerous realistic settings of interest to empiricists and demonstrate its superior performance relative to other haplotype-based selection statistics. We also apply this statistic to real population-genetic data. As a positive control, we explore two well-studied loci, LCT and MHC, in a European and an African human population that show strong evidence for selection. We also apply this statistic to the genomes of an urban brown rat population, where we uncover evidence for adaptation in olfactory perception genes. We release user-friendly software implementing this statistic.
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Affiliation(s)
- Michael DeGiorgio
- Department of Electrical Engineering and Computer Science, Florida Atlantic University, Boca Raton, Florida, United States of America
- * E-mail: (MD); (ZAS)
| | - Zachary A. Szpiech
- Department of Biology, Pennsylvania State University, University Park, Pennsylvania, United States of America
- Institute for Computational and Data Sciences, Pennsylvania State University, University Park, Pennsylvania, United States of America
- * E-mail: (MD); (ZAS)
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12
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Cheng JY, Stern AJ, Racimo F, Nielsen R. Detecting Selection in Multiple Populations by Modeling Ancestral Admixture Components. Mol Biol Evol 2022; 39:msab294. [PMID: 34626111 PMCID: PMC8763095 DOI: 10.1093/molbev/msab294] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022] Open
Abstract
One of the most powerful and commonly used approaches for detecting local adaptation in the genome is the identification of extreme allele frequency differences between populations. In this article, we present a new maximum likelihood method for finding regions under positive selection. It is based on a Gaussian approximation to allele frequency changes and it incorporates admixture between populations. The method can analyze multiple populations simultaneously and retains power to detect selection signatures specific to ancestry components that are not representative of any extant populations. Using simulated data, we compare our method to related approaches, and show that it is orders of magnitude faster than the state-of-the-art, while retaining similar or higher power for most simulation scenarios. We also apply it to human genomic data and identify loci with extreme genetic differentiation between major geographic groups. Many of the genes identified are previously known selected loci relating to hair pigmentation and morphology, skin, and eye pigmentation. We also identify new candidate regions, including various selected loci in the Native American component of admixed Mexican-Americans. These involve diverse biological functions, such as immunity, fat distribution, food intake, vision, and hair development.
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Affiliation(s)
- Jade Yu Cheng
- Lundbeck GeoGenetics Centre, Globe Institute, University of Copenhagen, Copenhagen, Denmark
- Department of Integrative Biology, University of California, Berkeley, Berkeley, CA, USA
| | - Aaron J Stern
- Graduate Group in Computational Biology, University of California, Berkeley, Berkeley, CA, USA
| | - Fernando Racimo
- Lundbeck GeoGenetics Centre, Globe Institute, University of Copenhagen, Copenhagen, Denmark
| | - Rasmus Nielsen
- Lundbeck GeoGenetics Centre, Globe Institute, University of Copenhagen, Copenhagen, Denmark
- Department of Integrative Biology, University of California, Berkeley, Berkeley, CA, USA
- Department of Statistics, University of California, Berkeley, Berkeley, CA, USA
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13
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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: 3] [Impact Index Per Article: 1.0] [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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14
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Wang Y, Zhao B, Choi J, Lee EA. Genomic approaches to trace the history of human brain evolution with an emerging opportunity for transposon profiling of ancient humans. Mob DNA 2021; 12:22. [PMID: 34663455 PMCID: PMC8525043 DOI: 10.1186/s13100-021-00250-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2021] [Accepted: 09/27/2021] [Indexed: 12/17/2022] Open
Abstract
Transposable elements (TEs) significantly contribute to shaping the diversity of the human genome, and lines of evidence suggest TEs as one of driving forces of human brain evolution. Existing computational approaches, including cross-species comparative genomics and population genetic modeling, can be adapted for the study of the role of TEs in evolution. In particular, diverse ancient and archaic human genome sequences are increasingly available, allowing reconstruction of past human migration events and holding the promise of identifying and tracking TEs among other evolutionarily important genetic variants at an unprecedented spatiotemporal resolution. However, highly degraded short DNA templates and other unique challenges presented by ancient human DNA call for major changes in current experimental and computational procedures to enable the identification of evolutionarily important TEs. Ancient human genomes are valuable resources for investigating TEs in the evolutionary context, and efforts to explore ancient human genomes will potentially provide a novel perspective on the genetic mechanism of human brain evolution and inspire a variety of technological and methodological advances. In this review, we summarize computational and experimental approaches that can be adapted to identify and validate evolutionarily important TEs, especially for human brain evolution. We also highlight strategies that leverage ancient genomic data and discuss unique challenges in ancient transposon genomics.
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Affiliation(s)
- Yilan Wang
- Division of Genetics and Genomics, Boston Children's Hospital and Harvard Medical School, Boston, MA, USA
- The Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Program in Biological and Biomedical Sciences, Harvard Medical School, Boston, MA, USA
| | - Boxun Zhao
- Division of Genetics and Genomics, Boston Children's Hospital and Harvard Medical School, Boston, MA, USA
- The Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Manton Center for Orphan Disease Research, Boston Children's Hospital, Boston, MA, USA
| | - Jaejoon Choi
- Division of Genetics and Genomics, Boston Children's Hospital and Harvard Medical School, Boston, MA, USA
- Department of Genetics, Harvard Medical School, Boston, MA, USA
| | - Eunjung Alice Lee
- Division of Genetics and Genomics, Boston Children's Hospital and Harvard Medical School, Boston, MA, USA.
- The Broad Institute of Harvard and MIT, Cambridge, MA, USA.
- Manton Center for Orphan Disease Research, Boston Children's Hospital, Boston, MA, USA.
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15
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An etiology of human modernity. ANTHROPOLOGICAL REVIEW 2021. [DOI: 10.2478/anre-2021-0020] [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
Abstract
Following the refutation of the replacement hypothesis, which had proposed that a ‘superior’ hominin species arose in Africa and replaced all other humans existing at the time, the auto-domestication hypothesis remains the only viable explanation for the relatively abrupt change from robust to gracile humans in the Late Pleistocene. It invokes the incidental institution of the domestication syndrome in humans, most probably by newly introduced cultural practices. It also postulates that the induction of exograms compensated for the atrophy of the brain caused by domestication. This new explanation of the origins of modernity in humans elucidates practically all its many aspects, in stark contrast to the superseded replacement hypothesis, which explained virtually nothing. The first results of the domestication syndrome’s genetic exploration have become available in recent years, and they endorse the human self-domestication hypothesis.
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16
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Benítez-Burraco A, Chekalin E, Bruskin S, Tatarinova T, Morozova I. Recent selection of candidate genes for mammal domestication in Europeans and language change in Europe: a hypothesis. Ann Hum Biol 2021; 48:313-320. [PMID: 34241552 DOI: 10.1080/03014460.2021.1936634] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
BACKGROUND AND AIM Human evolution resulted from changes in our biology, behaviour, and culture. One source of these changes has been hypothesised to be our self-domestication (that is, the development in humans of features commonly found in domesticated strains of mammals, seemingly as a result of selection for reduced aggression). Signals of domestication, notably brain size reduction, have increased in recent times. METHODS In this paper, we compare whole-genome data between the Late Neolithic/Bronze Age individuals and modern Europeans. RESULTS We show that genes associated with mammal domestication and with neural crest development and function are significantly differently enriched in nonsynonymous single nucleotide polymorphisms between these two groups. CONCLUSION We hypothesise that these changes might account for the increased features of self-domestication in modern humans and, ultimately, for subtle recent changes in human cognition and behaviour, including language.
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Affiliation(s)
- Antonio Benítez-Burraco
- Department of Spanish, Linguistics, and Theory of Literature, Faculty of Philology, University of Seville, Seville, Spain
| | - Evgeny Chekalin
- Vavilov Institute of General Genetics, Russian Academy of Sciences, Moscow, Russia
| | - Sergey Bruskin
- Vavilov Institute of General Genetics, Russian Academy of Sciences, Moscow, Russia
| | - Tatiana Tatarinova
- Vavilov Institute of General Genetics, Russian Academy of Sciences, Moscow, Russia.,Department of Biology, University of La Verne, La Verne, CA, USA.,A. A. Kharkevich Institute for Information Transmission Problems, Moscow, Russia.,Department of Fundamental Biology and Biotechnology, Siberian Federal University, Krasnoyarsk, Russia
| | - Irina Morozova
- Institute of Evolutionary Medicine, University of Zurich, Zurich, Switzerland
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17
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Muthuirulan P, Zhao D, Young M, Richard D, Liu Z, Emami A, Portilla G, Hosseinzadeh S, Cao J, Maridas D, Sedlak M, Menghini D, Cheng L, Li L, Ding X, Ding Y, Rosen V, Kiapour AM, Capellini TD. Joint disease-specificity at the regulatory base-pair level. Nat Commun 2021; 12:4161. [PMID: 34230488 PMCID: PMC8260791 DOI: 10.1038/s41467-021-24345-9] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2020] [Accepted: 06/16/2021] [Indexed: 02/06/2023] Open
Abstract
Given the pleiotropic nature of coding sequences and that many loci exhibit multiple disease associations, it is within non-coding sequence that disease-specificity likely exists. Here, we focus on joint disorders, finding among replicated loci, that GDF5 exhibits over twenty distinct associations, and we identify causal variants for two of its strongest associations, hip dysplasia and knee osteoarthritis. By mapping regulatory regions in joint chondrocytes, we pinpoint two variants (rs4911178; rs6060369), on the same risk haplotype, which reside in anatomical site-specific enhancers. We show that both variants have clinical relevance, impacting disease by altering morphology. By modeling each variant in humanized mice, we observe joint-specific response, correlating with GDF5 expression. Thus, we uncouple separate regulatory variants on a common risk haplotype that cause joint-specific disease. By broadening our perspective, we finally find that patterns of modularity at GDF5 are also found at over three-quarters of loci with multiple GWAS disease associations.
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Affiliation(s)
| | - Dewei Zhao
- Department of Orthopedics, Affiliated Zhongshan Hospital of Dalian University, Dalian, China
| | - Mariel Young
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, USA
| | - Daniel Richard
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, USA
| | - Zun Liu
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, USA
| | - Alireza Emami
- Department of Orthopaedic Surgery, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
| | - Gabriela Portilla
- Department of Orthopaedic Surgery, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
| | - Shayan Hosseinzadeh
- Department of Orthopaedic Surgery, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
| | - Jiaxue Cao
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, USA.,Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu, China
| | - David Maridas
- Department of Developmental Biology, Harvard School of Dental Medicine, Boston, MA, USA
| | - Mary Sedlak
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, USA
| | - Danilo Menghini
- Department of Orthopaedic Surgery, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
| | - Liangliang Cheng
- Department of Orthopedics, Affiliated Zhongshan Hospital of Dalian University, Dalian, China
| | - Lu Li
- Department of Orthopedics, Affiliated Zhongshan Hospital of Dalian University, Dalian, China
| | - Xinjia Ding
- Department of Surgery, the Second Affiliated Hospital of Dalian Medical University, Dalian, China
| | - Yan Ding
- Department of Pediatrics, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
| | - Vicki Rosen
- Department of Developmental Biology, Harvard School of Dental Medicine, Boston, MA, USA
| | - Ata M Kiapour
- Department of Orthopaedic Surgery, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA.
| | - Terence D Capellini
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, USA. .,Broad Institute of MIT and Harvard, Cambridge, MA, USA.
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18
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García-Pérez R, Esteller-Cucala P, Mas G, Lobón I, Di Carlo V, Riera M, Kuhlwilm M, Navarro A, Blancher A, Di Croce L, Gómez-Skarmeta JL, Juan D, Marquès-Bonet T. Epigenomic profiling of primate lymphoblastoid cell lines reveals the evolutionary patterns of epigenetic activities in gene regulatory architectures. Nat Commun 2021; 12:3116. [PMID: 34035253 PMCID: PMC8149829 DOI: 10.1038/s41467-021-23397-1] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2020] [Accepted: 04/21/2021] [Indexed: 02/04/2023] Open
Abstract
Changes in the epigenetic regulation of gene expression have a central role in evolution. Here, we extensively profiled a panel of human, chimpanzee, gorilla, orangutan, and macaque lymphoblastoid cell lines (LCLs), using ChIP-seq for five histone marks, ATAC-seq and RNA-seq, further complemented with whole genome sequencing (WGS) and whole genome bisulfite sequencing (WGBS). We annotated regulatory elements (RE) and integrated chromatin contact maps to define gene regulatory architectures, creating the largest catalog of RE in primates to date. We report that epigenetic conservation and its correlation with sequence conservation in primates depends on the activity state of the regulatory element. Our gene regulatory architectures reveal the coordination of different types of components and highlight the role of promoters and intragenic enhancers (gE) in the regulation of gene expression. We observe that most regulatory changes occur in weakly active gE. Remarkably, novel human-specific gE with weak activities are enriched in human-specific nucleotide changes. These elements appear in genes with signals of positive selection and human acceleration, tissue-specific expression, and particular functional enrichments, suggesting that the regulatory evolution of these genes may have contributed to human adaptation.
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Affiliation(s)
| | | | - Glòria Mas
- Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
| | - Irene Lobón
- Institute of Evolutionary Biology (UPF-CSIC), PRBB, Barcelona, Spain
| | - Valerio Di Carlo
- Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
| | - Meritxell Riera
- Institute of Evolutionary Biology (UPF-CSIC), PRBB, Barcelona, Spain
| | - Martin Kuhlwilm
- Institute of Evolutionary Biology (UPF-CSIC), PRBB, Barcelona, Spain
| | - Arcadi Navarro
- Institute of Evolutionary Biology (UPF-CSIC), PRBB, Barcelona, Spain
- National Institute for Bioinformatics (INB), PRBB, Barcelona, Spain
- Institució Catalana de Recerca i Estudis Avançats (ICREA), Barcelona, Spain
| | - Antoine Blancher
- Laboratoire d'immunologie, CHU de Toulouse, Institut Fédératif de Biologie, hôpital Purpan, Toulouse, France
- Centre de Physiopathologie Toulouse-Purpan (CPTP), Université de Toulouse, Centre National de la Recherche Scientifique (CNRS), Institut National de la Santé et de la Recherche Médicale (Inserm), Université Paul Sabatier (UPS), Toulouse, France
| | - Luciano Di Croce
- Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- Institució Catalana de Recerca i Estudis Avançats (ICREA), Barcelona, Spain
| | - José Luis Gómez-Skarmeta
- Centro Andaluz de Biología del Desarrollo (CABD), Consejo Superior de Investigaciones Científicas-Universidad Pablo de Olavide-Junta de Andalucía, Seville, Spain
| | - David Juan
- Institute of Evolutionary Biology (UPF-CSIC), PRBB, Barcelona, Spain.
| | - Tomàs Marquès-Bonet
- Institute of Evolutionary Biology (UPF-CSIC), PRBB, Barcelona, Spain.
- Institució Catalana de Recerca i Estudis Avançats (ICREA), Barcelona, Spain.
- CNAG-CRG, Centre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology (BIST), Barcelona, Spain.
- Institut Català de Paleontologia Miquel Crusafont, Universitat Autònoma de Barcelona, Cerdanyola del Vallès, Barcelona, Spain.
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19
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Stepanova V, Moczulska KE, Vacano GN, Kurochkin I, Ju X, Riesenberg S, Macak D, Maricic T, Dombrowski L, Schörnig M, Anastassiadis K, Baker O, Naumann R, Khrameeva E, Vanushkina A, Stekolshchikova E, Egorova A, Tkachev A, Mazzarino R, Duval N, Zubkov D, Giavalisco P, Wilkinson TG, Patterson D, Khaitovich P, Pääbo S. Reduced purine biosynthesis in humans after their divergence from Neandertals. eLife 2021; 10:58741. [PMID: 33942714 PMCID: PMC8133780 DOI: 10.7554/elife.58741] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2020] [Accepted: 05/02/2021] [Indexed: 12/02/2022] Open
Abstract
We analyze the metabolomes of humans, chimpanzees, and macaques in muscle, kidney and three different regions of the brain. Although several compounds in amino acid metabolism occur at either higher or lower concentrations in humans than in the other primates, metabolites downstream of adenylosuccinate lyase, which catalyzes two reactions in purine synthesis, occur at lower concentrations in humans. This enzyme carries an amino acid substitution that is present in all humans today but absent in Neandertals. By introducing the modern human substitution into the genomes of mice, as well as the ancestral, Neandertal-like substitution into the genomes of human cells, we show that this amino acid substitution contributes to much or all of the reduction of de novo synthesis of purines in humans.
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Affiliation(s)
- Vita Stepanova
- Skolkovo Institute for Science and Technology, Skolkovo, Russian Federation.,Institute for Information Transmission Problems, Russian Academy of Sciences, Moscow, Russian Federation
| | | | - Guido N Vacano
- The Eleanor Roosevelt Institute and Knoebel Institute for Healthy Aging, University of Denver, Denver, United States
| | - Ilia Kurochkin
- Skolkovo Institute for Science and Technology, Skolkovo, Russian Federation
| | - Xiangchun Ju
- Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany.,Okinawa Institute of Science and Technology, Onna-son, Japan
| | | | - Dominik Macak
- Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
| | - Tomislav Maricic
- Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
| | - Linda Dombrowski
- Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
| | - Maria Schörnig
- Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
| | - Konstantinos Anastassiadis
- Center for Molecular and Cellular Bioengineering, Biotechnology Center, Technical University Dresden, Dresden, Germany
| | - Oliver Baker
- Center for Molecular and Cellular Bioengineering, Biotechnology Center, Technical University Dresden, Dresden, Germany
| | - Ronald Naumann
- Max Planck Institute of Molecular Cell Biology and Genetics, Dresden, Germany
| | | | - Anna Vanushkina
- Skolkovo Institute for Science and Technology, Skolkovo, Russian Federation
| | | | - Alina Egorova
- Skolkovo Institute for Science and Technology, Skolkovo, Russian Federation
| | - Anna Tkachev
- Skolkovo Institute for Science and Technology, Skolkovo, Russian Federation
| | - Randall Mazzarino
- The Eleanor Roosevelt Institute and Knoebel Institute for Healthy Aging, University of Denver, Denver, United States
| | - Nathan Duval
- The Eleanor Roosevelt Institute and Knoebel Institute for Healthy Aging, University of Denver, Denver, United States
| | - Dmitri Zubkov
- Skolkovo Institute for Science and Technology, Skolkovo, Russian Federation
| | | | - Terry G Wilkinson
- The Eleanor Roosevelt Institute and Knoebel Institute for Healthy Aging, University of Denver, Denver, United States
| | - David Patterson
- The Eleanor Roosevelt Institute and Knoebel Institute for Healthy Aging, University of Denver, Denver, United States
| | - Philipp Khaitovich
- Skolkovo Institute for Science and Technology, Skolkovo, Russian Federation
| | - Svante Pääbo
- Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany.,Okinawa Institute of Science and Technology, Onna-son, Japan
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20
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Schlebusch CM, Sjödin P, Breton G, Günther T, Naidoo T, Hollfelder N, Sjöstrand AE, Xu J, Gattepaille LM, Vicente M, Scofield DG, Malmström H, de Jongh M, Lombard M, Soodyall H, Jakobsson M. Khoe-San Genomes Reveal Unique Variation and Confirm the Deepest Population Divergence in Homo sapiens. Mol Biol Evol 2021; 37:2944-2954. [PMID: 32697301 PMCID: PMC7530619 DOI: 10.1093/molbev/msaa140] [Citation(s) in RCA: 36] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
Abstract
The southern African indigenous Khoe-San populations harbor the most divergent lineages of all living peoples. Exploring their genomes is key to understanding deep human history. We sequenced 25 full genomes from five Khoe-San populations, revealing many novel variants, that 25% of variants are unique to the Khoe-San, and that the Khoe-San group harbors the greatest level of diversity across the globe. In line with previous studies, we found several gene regions with extreme values in genome-wide scans for selection, potentially caused by natural selection in the lineage leading to Homo sapiens and more recent in time. These gene regions included immunity-, sperm-, brain-, diet-, and muscle-related genes. When accounting for recent admixture, all Khoe-San groups display genetic diversity approaching the levels in other African groups and a reduction in effective population size starting around 100,000 years ago. Hence, all human groups show a reduction in effective population size commencing around the time of the Out-of-Africa migrations, which coincides with changes in the paleoclimate records, changes that potentially impacted all humans at the time.
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Affiliation(s)
- Carina M Schlebusch
- Human Evolution, Department of Organismal Biology, Evolutionary Biology Centre, Uppsala University, Uppsala, Sweden.,Palaeo-Research Institute, University of Johannesburg, Auckland Park, South Africa.,SciLifeLab, Stockholm and Uppsala, Sweden
| | - Per Sjödin
- Human Evolution, Department of Organismal Biology, Evolutionary Biology Centre, Uppsala University, Uppsala, Sweden
| | - Gwenna Breton
- Human Evolution, Department of Organismal Biology, Evolutionary Biology Centre, Uppsala University, Uppsala, Sweden
| | - Torsten Günther
- Human Evolution, Department of Organismal Biology, Evolutionary Biology Centre, Uppsala University, Uppsala, Sweden
| | - Thijessen Naidoo
- Human Evolution, Department of Organismal Biology, Evolutionary Biology Centre, Uppsala University, Uppsala, Sweden.,Palaeo-Research Institute, University of Johannesburg, Auckland Park, South Africa.,SciLifeLab, Stockholm and Uppsala, Sweden
| | - Nina Hollfelder
- Human Evolution, Department of Organismal Biology, Evolutionary Biology Centre, Uppsala University, Uppsala, Sweden
| | - Agnes E Sjöstrand
- Human Evolution, Department of Organismal Biology, Evolutionary Biology Centre, Uppsala University, Uppsala, Sweden
| | - Jingzi Xu
- Human Evolution, Department of Organismal Biology, Evolutionary Biology Centre, Uppsala University, Uppsala, Sweden
| | - Lucie M Gattepaille
- Human Evolution, Department of Organismal Biology, Evolutionary Biology Centre, Uppsala University, Uppsala, Sweden
| | - Mário Vicente
- Human Evolution, Department of Organismal Biology, Evolutionary Biology Centre, Uppsala University, Uppsala, Sweden
| | - Douglas G Scofield
- Department of Ecology and Genetics, Evolutionary Biology Centre, Uppsala University, Uppsala, Sweden.,Uppsala Multidisciplinary Center for Advanced Computational Science, Uppsala University, Uppsala, Sweden
| | - Helena Malmström
- Human Evolution, Department of Organismal Biology, Evolutionary Biology Centre, Uppsala University, Uppsala, Sweden.,Palaeo-Research Institute, University of Johannesburg, Auckland Park, South Africa
| | - Michael de Jongh
- Department of Anthropology and Archaeology, University of South Africa, Pretoria, South Africa
| | - Marlize Lombard
- Palaeo-Research Institute, University of Johannesburg, Auckland Park, South Africa
| | - Himla Soodyall
- Division of Human Genetics, School of Pathology, Faculty of Health Sciences, University of the Witwatersrand and National Health Laboratory Service, Johannesburg, South Africa.,Academy of Science of South Africa
| | - Mattias Jakobsson
- Human Evolution, Department of Organismal Biology, Evolutionary Biology Centre, Uppsala University, Uppsala, Sweden.,Palaeo-Research Institute, University of Johannesburg, Auckland Park, South Africa.,SciLifeLab, Stockholm and Uppsala, Sweden
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21
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Harris AM, DeGiorgio M. A Likelihood Approach for Uncovering Selective Sweep Signatures from Haplotype Data. Mol Biol Evol 2021; 37:3023-3046. [PMID: 32392293 PMCID: PMC7530616 DOI: 10.1093/molbev/msaa115] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022] Open
Abstract
Selective sweeps are frequent and varied signatures in the genomes of natural populations, and detecting them is consequently important in understanding mechanisms of adaptation by natural selection. Following a selective sweep, haplotypic diversity surrounding the site under selection decreases, and this deviation from the background pattern of variation can be applied to identify sweeps. Multiple methods exist to locate selective sweeps in the genome from haplotype data, but none leverages the power of a model-based approach to make their inference. Here, we propose a likelihood ratio test statistic T to probe whole-genome polymorphism data sets for selective sweep signatures. Our framework uses a simple but powerful model of haplotype frequency spectrum distortion to find sweeps and additionally make an inference on the number of presently sweeping haplotypes in a population. We found that the T statistic is suitable for detecting both hard and soft sweeps across a variety of demographic models, selection strengths, and ages of the beneficial allele. Accordingly, we applied the T statistic to variant calls from European and sub-Saharan African human populations, yielding primarily literature-supported candidates, including LCT, RSPH3, and ZNF211 in CEU, SYT1, RGS18, and NNT in YRI, and HLA genes in both populations. We also searched for sweep signatures in Drosophila melanogaster, finding expected candidates at Ace, Uhg1, and Pimet. Finally, we provide open-source software to compute the T statistic and the inferred number of presently sweeping haplotypes from whole-genome data.
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Affiliation(s)
- Alexandre M Harris
- Department of Biology, Pennsylvania State University, University Park, PA.,Molecular, Cellular, and Integrative Biosciences, Huck Institutes of the Life Sciences, Pennsylvania State University, University Park, PA
| | - Michael DeGiorgio
- Department of Computer and Electrical Engineering and Computer Science, Florida Atlantic University, Boca Raton, FL
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22
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O'Rourke T, Martins PT, Asano R, Tachibana RO, Okanoya K, Boeckx C. Capturing the Effects of Domestication on Vocal Learning Complexity. Trends Cogn Sci 2021; 25:462-474. [PMID: 33810982 DOI: 10.1016/j.tics.2021.03.007] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2020] [Revised: 03/08/2021] [Accepted: 03/08/2021] [Indexed: 11/28/2022]
Abstract
Domesticated and vocal learning species can serve as informative model organisms for the reduction of reactive aggression and emergence of speech in our lineage. Amidst mounting evidence that domestication modifies vocal repertoires across different species, we focus on the domesticated Bengalese finch, which has a more complex song than the wild-type white-rumped munia. Our explanation for this effect revolves around the glutamate neurotransmitter system. Glutamate signaling (i) is implicated in birdsong learning, (ii) controls dopamine activity in neural circuits crucial for vocal learning, (iii) is disproportionately targeted in the evolution of domesticates, and (iv) regulates stress responses and aggressive behaviors attenuated under domestication. We propose that attenuated excitation of stress-related neural circuits potentiates vocal learning via altered dopaminergic signaling.
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Affiliation(s)
- Thomas O'Rourke
- Section of General Linguistics, University of Barcelona, 08007 Barcelona, Spain; University of Barcelona Institute for Complex Systems (UBICS), 08028 Barcelona, Spain
| | - Pedro Tiago Martins
- Section of General Linguistics, University of Barcelona, 08007 Barcelona, Spain; University of Barcelona Institute for Complex Systems (UBICS), 08028 Barcelona, Spain
| | - Rie Asano
- Department of Systematic Musicology, University of Cologne, 50923 Cologne, Germany
| | - Ryosuke O Tachibana
- Center for Evolutionary Cognitive Sciences, Graduate School of Arts and Sciences, The University of Tokyo, 153-8902 Tokyo, Japan
| | - Kazuo Okanoya
- Department of Life Sciences, Graduate School of Arts and Sciences, The University of Tokyo, 153-8902 Tokyo, Japan
| | - Cedric Boeckx
- Section of General Linguistics, University of Barcelona, 08007 Barcelona, Spain; University of Barcelona Institute for Complex Systems (UBICS), 08028 Barcelona, Spain; Catalan Institute for Advanced Studies and Research (ICREA), 08010 Barcelona, Spain.
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23
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Lindo J, DeGiorgio M. Understanding the Adaptive Evolutionary Histories of South American Ancient and Present-Day Populations via Genomics. Genes (Basel) 2021; 12:360. [PMID: 33801556 PMCID: PMC8001801 DOI: 10.3390/genes12030360] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2021] [Revised: 02/18/2021] [Accepted: 02/22/2021] [Indexed: 12/03/2022] Open
Abstract
The South American continent is remarkably diverse in its ecological zones, spanning the Amazon rainforest, the high-altitude Andes, and Tierra del Fuego. Yet the original human populations of the continent successfully inhabited all these zones, well before the buffering effects of modern technology. Therefore, it is likely that the various cultures were successful, in part, due to positive natural selection that allowed them to successfully establish populations for thousands of years. Detecting positive selection in these populations is still in its infancy, as the ongoing effects of European contact have decimated many of these populations and introduced gene flow from outside of the continent. In this review, we explore hypotheses of possible human biological adaptation, methods to identify positive selection, the utilization of ancient DNA, and the integration of modern genomes through the identification of genomic tracts that reflect the ancestry of the first populations of the Americas.
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Affiliation(s)
- John Lindo
- Department of Anthropology, Emory University, Atlanta, GA 30322, USA
| | - Michael DeGiorgio
- Department of Computer and Electrical Engineering and Computer Science, Florida Atlantic University, Boca Raton, FL 33431, USA
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24
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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: 5.3] [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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Werren EA, Garcia O, Bigham AW. Identifying adaptive alleles in the human genome: from selection mapping to functional validation. Hum Genet 2020; 140:241-276. [PMID: 32728809 DOI: 10.1007/s00439-020-02206-7] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2020] [Accepted: 07/07/2020] [Indexed: 12/19/2022]
Abstract
The suite of phenotypic diversity across geographically distributed human populations is the outcome of genetic drift, gene flow, and natural selection throughout human evolution. Human genetic variation underlying local biological adaptations to selective pressures is incompletely characterized. With the emergence of population genetics modeling of large-scale genomic data derived from diverse populations, scientists are able to map signatures of natural selection in the genome in a process known as selection mapping. Inferred selection signals further can be used to identify candidate functional alleles that underlie putative adaptive phenotypes. Phenotypic association, fine mapping, and functional experiments facilitate the identification of candidate adaptive alleles. Functional investigation of candidate adaptive variation using novel techniques in molecular biology is slowly beginning to unravel how selection signals translate to changes in biology that underlie the phenotypic spectrum of our species. In addition to informing evolutionary hypotheses of adaptation, the discovery and functional annotation of adaptive alleles also may be of clinical significance. While selection mapping efforts in non-European populations are growing, there remains a stark under-representation of diverse human populations in current public genomic databases, of both clinical and non-clinical cohorts. This lack of inclusion limits the study of human biological variation. Identifying and functionally validating candidate adaptive alleles in more global populations is necessary for understanding basic human biology and human disease.
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Affiliation(s)
- Elizabeth A Werren
- Department of Human Genetics, The University of Michigan, Ann Arbor, MI, USA
- Department of Anthropology, The University of Michigan, Ann Arbor, MI, USA
| | - Obed Garcia
- Department of Anthropology, The University of Michigan, Ann Arbor, MI, USA
| | - Abigail W Bigham
- Department of Anthropology, University of California Los Angeles, 341 Haines Hall, Los Angeles, CA, 90095, USA.
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Harris AM, DeGiorgio M. Identifying and Classifying Shared Selective Sweeps from Multilocus Data. Genetics 2020; 215:143-171. [PMID: 32152048 PMCID: PMC7198270 DOI: 10.1534/genetics.120.303137] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2019] [Accepted: 02/29/2020] [Indexed: 11/18/2022] Open
Abstract
Positive selection causes beneficial alleles to rise to high frequency, resulting in a selective sweep of the diversity surrounding the selected sites. Accordingly, the signature of a selective sweep in an ancestral population may still remain in its descendants. Identifying signatures of selection in the ancestor that are shared among its descendants is important to contextualize the timing of a sweep, but few methods exist for this purpose. We introduce the statistic SS-H12, which can identify genomic regions under shared positive selection across populations and is based on the theory of the expected haplotype homozygosity statistic H12, which detects recent hard and soft sweeps from the presence of high-frequency haplotypes. SS-H12 is distinct from comparable statistics because it requires a minimum of only two populations, and properly identifies and differentiates between independent convergent sweeps and true ancestral sweeps, with high power and robustness to a variety of demographic models. Furthermore, we can apply SS-H12 in conjunction with the ratio of statistics we term [Formula: see text] and [Formula: see text] to further classify identified shared sweeps as hard or soft. Finally, we identified both previously reported and novel shared sweep candidates from human whole-genome sequences. Previously reported candidates include the well-characterized ancestral sweeps at LCT and SLC24A5 in Indo-Europeans, as well as GPHN worldwide. Novel candidates include an ancestral sweep at RGS18 in sub-Saharan Africans involved in regulating the platelet response and implicated in sudden cardiac death, and a convergent sweep at C2CD5 between European and East Asian populations that may explain their different insulin responses.
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Affiliation(s)
- Alexandre M Harris
- Department of Biology, Pennsylvania State University, University Park, Pennsylvania 16802
- Molecular, Cellular, and Integrative Biosciences at the Huck Institutes of the Life Sciences, Pennsylvania State University, University Park, Pennsylvania 16802
| | - Michael DeGiorgio
- Department of Computer and Electrical Engineering and Computer Science, Florida Atlantic University, Boca Raton, Florida 33431
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27
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Richard D, Liu Z, Cao J, Kiapour AM, Willen J, Yarlagadda S, Jagoda E, Kolachalama VB, Sieker JT, Chang GH, Muthuirulan P, Young M, Masson A, Konrad J, Hosseinzadeh S, Maridas DE, Rosen V, Krawetz R, Roach N, Capellini TD. Evolutionary Selection and Constraint on Human Knee Chondrocyte Regulation Impacts Osteoarthritis Risk. Cell 2020; 181:362-381.e28. [PMID: 32220312 PMCID: PMC7179902 DOI: 10.1016/j.cell.2020.02.057] [Citation(s) in RCA: 56] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2019] [Revised: 12/10/2019] [Accepted: 02/26/2020] [Indexed: 02/06/2023]
Abstract
During human evolution, the knee adapted to the biomechanical demands of bipedalism by altering chondrocyte developmental programs. This adaptive process was likely not without deleterious consequences to health. Today, osteoarthritis occurs in 250 million people, with risk variants enriched in non-coding sequences near chondrocyte genes, loci that likely became optimized during knee evolution. We explore this relationship by epigenetically profiling joint chondrocytes, revealing ancient selection and recent constraint and drift on knee regulatory elements, which also overlap osteoarthritis variants that contribute to disease heritability by tending to modify constrained functional sequence. We propose a model whereby genetic violations to regulatory constraint, tolerated during knee development, lead to adult pathology. In support, we discover a causal enhancer variant (rs6060369) present in billions of people at a risk locus (GDF5-UQCC1), showing how it impacts mouse knee-shape and osteoarthritis. Overall, our methods link an evolutionarily novel aspect of human anatomy to its pathogenesis.
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Affiliation(s)
- Daniel Richard
- Human Evolutionary Biology, Harvard University, Cambridge, MA 02138, USA
| | - Zun Liu
- Human Evolutionary Biology, Harvard University, Cambridge, MA 02138, USA
| | - Jiaxue Cao
- Human Evolutionary Biology, Harvard University, Cambridge, MA 02138, USA; Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu 611130, China
| | - Ata M Kiapour
- Orthopaedic Surgery, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Jessica Willen
- Human Evolutionary Biology, Harvard University, Cambridge, MA 02138, USA
| | | | - Evelyn Jagoda
- Human Evolutionary Biology, Harvard University, Cambridge, MA 02138, USA
| | - Vijaya B Kolachalama
- Department of Medicine, Boston University School of Medicine, Boston, MA 02115, USA; Whitaker Cardiovascular Institute, Boston University School of Medicine, Boston, MA 02115, USA; Hariri Institute for Computing and Computational Science and Engineering, Boston University, Boston, MA 02115, USA
| | - Jakob T Sieker
- Orthopaedic Surgery, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, USA; Pathology and Laboratory Medicine, Tufts Medical Center, Boston, MA 02111, USA
| | - Gary H Chang
- Department of Medicine, Boston University School of Medicine, Boston, MA 02115, USA
| | | | - Mariel Young
- Human Evolutionary Biology, Harvard University, Cambridge, MA 02138, USA
| | - Anand Masson
- McCaig Institute for Bone and Joint Health, University of Calgary, Calgary, AB T2N 1N4, Canada
| | - Johannes Konrad
- Orthopaedic Surgery, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Shayan Hosseinzadeh
- Orthopaedic Surgery, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - David E Maridas
- Developmental Biology, Harvard School of Dental Medicine, Boston, MA 02115, USA
| | - Vicki Rosen
- Developmental Biology, Harvard School of Dental Medicine, Boston, MA 02115, USA
| | - Roman Krawetz
- McCaig Institute for Bone and Joint Health, University of Calgary, Calgary, AB T2N 1N4, Canada
| | - Neil Roach
- Human Evolutionary Biology, Harvard University, Cambridge, MA 02138, USA
| | - Terence D Capellini
- Human Evolutionary Biology, Harvard University, Cambridge, MA 02138, USA; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.
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28
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Naval-Sanchez M, McWilliam S, Evans B, Yáñez JM, Houston RD, Kijas JW. Changed Patterns of Genomic Variation Following Recent Domestication: Selection Sweeps in Farmed Atlantic Salmon. Front Genet 2020; 11:264. [PMID: 32318091 PMCID: PMC7147387 DOI: 10.3389/fgene.2020.00264] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2019] [Accepted: 03/05/2020] [Indexed: 12/30/2022] Open
Abstract
The introduction of wild Atlantic salmon into captivity, and their subsequent artificial selection for production traits, has caused phenotypic differences between domesticated fish and their wild counterparts. Identification of regions of the genome underling these changes offers the promise of characterizing the early biological consequences of domestication. In the current study, we sequenced a population of farmed European Atlantic salmon and compared the observed patterns of SNP variation to those found in conspecific wild populations. This identified 139 genomic regions that contained significantly elevated SNP homozygosity in farmed fish when compared to their wild counterparts. The most extreme was adjacent to versican, a gene involved in control of neural crest cell migration. To control for false positive signals, a second and independent dataset of farmed and wild European Atlantic salmon was assessed using the same methodology. A total of 81 outlier regions detected in the first dataset showed significantly reduced homozygosity within the second one, strongly suggesting the genomic regions identified are enriched for true selection sweeps. Examination of the associated genes identified a number previously characterized as targets of selection in other domestic species and that have roles in development, behavior and olfactory system. These include arcvf, sema6, errb4, id2-like, and 6n1-like genes. Finally, we searched for evidence of parallel sweeps using a farmed population of North American origin. This failed to detect a convincing overlap to the putative sweeps present in European populations, suggesting the factors that drive patterns of variation under domestication and early artificial selection were largely independent. This is the first analysis on domestication of aquaculture species exploiting whole-genome sequence data and resulted in the identification of sweeps common to multiple independent populations of farmed European Atlantic salmon.
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Affiliation(s)
| | | | - Bradley Evans
- Salmon Enterprises of Tasmania Pty. Limited, Wayatinah, TAS, Australia
| | - José M Yáñez
- Faculty of Veterinary and Animal Sciences, University of Chile, Santiago, Chile
| | - Ross D Houston
- The Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Midlothian, United Kingdom
| | - James W Kijas
- CSIRO Agriculture and Food, Brisbane, QLD, Australia
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29
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Glutamate receptors in domestication and modern human evolution. Neurosci Biobehav Rev 2020; 108:341-357. [DOI: 10.1016/j.neubiorev.2019.10.004] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2019] [Revised: 09/28/2019] [Accepted: 10/07/2019] [Indexed: 02/08/2023]
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30
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Zanella M, Vitriolo A, Andirko A, Martins PT, Sturm S, O’Rourke T, Laugsch M, Malerba N, Skaros A, Trattaro S, Germain PL, Mihailovic M, Merla G, Rada-Iglesias A, Boeckx C, Testa G. Dosage analysis of the 7q11.23 Williams region identifies BAZ1B as a major human gene patterning the modern human face and underlying self-domestication. SCIENCE ADVANCES 2019; 5:eaaw7908. [PMID: 31840056 PMCID: PMC6892627 DOI: 10.1126/sciadv.aaw7908] [Citation(s) in RCA: 47] [Impact Index Per Article: 9.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/24/2019] [Accepted: 09/26/2019] [Indexed: 05/10/2023]
Abstract
We undertook a functional dissection of chromatin remodeler BAZ1B in neural crest (NC) stem cells (NCSCs) from a uniquely informative cohort of typical and atypical patients harboring 7q11.23 copy number variants. Our results reveal a key contribution of BAZ1B to NCSC in vitro induction and migration, coupled with a crucial involvement in NC-specific transcriptional circuits and distal regulation. By intersecting our experimental data with new paleogenetic analyses comparing modern and archaic humans, we found a modern-specific enrichment for regulatory changes both in BAZ1B and its experimentally defined downstream targets, thereby providing the first empirical validation of the human self-domestication hypothesis and positioning BAZ1B as a master regulator of the modern human face. In so doing, we provide experimental evidence that the craniofacial and cognitive/behavioral phenotypes caused by alterations of the Williams-Beuren syndrome critical region can serve as a powerful entry point into the evolution of the modern human face and prosociality.
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Affiliation(s)
- Matteo Zanella
- Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy
- Laboratory of Stem Cell Epigenetics, IEO, European Institute of Oncology, IRCCS, Milan, Italy
| | - Alessandro Vitriolo
- Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy
- Laboratory of Stem Cell Epigenetics, IEO, European Institute of Oncology, IRCCS, Milan, Italy
| | - Alejandro Andirko
- University of Barcelona, Barcelona, Spain
- University of Barcelona Institute of Complex Systems (UBICS), Barcelona, Spain
| | - Pedro Tiago Martins
- University of Barcelona, Barcelona, Spain
- University of Barcelona Institute of Complex Systems (UBICS), Barcelona, Spain
| | - Stefanie Sturm
- University of Barcelona, Barcelona, Spain
- University of Barcelona Institute of Complex Systems (UBICS), Barcelona, Spain
| | - Thomas O’Rourke
- University of Barcelona, Barcelona, Spain
- University of Barcelona Institute of Complex Systems (UBICS), Barcelona, Spain
| | - Magdalena Laugsch
- Center for Molecular Medicine Cologne (CMMC), University of Cologne, Cologne, Germany
- Institute of Human Genetics, University Hospital Cologne, Cologne, Germany
- Institute of Human Genetics, University Hospital Heidelberg, Heidelberg, Germany
| | - Natascia Malerba
- Division of Medical Genetics, Fondazione IRCCS Casa Sollievo della Sofferenza, San Giovanni Rotondo, Foggia, Italy
| | - Adrianos Skaros
- Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy
- Laboratory of Stem Cell Epigenetics, IEO, European Institute of Oncology, IRCCS, Milan, Italy
| | - Sebastiano Trattaro
- Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy
- Laboratory of Stem Cell Epigenetics, IEO, European Institute of Oncology, IRCCS, Milan, Italy
| | - Pierre-Luc Germain
- Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy
- Laboratory of Stem Cell Epigenetics, IEO, European Institute of Oncology, IRCCS, Milan, Italy
- D-HEST Institute for Neuroscience, ETH Zürich, Switzerland
| | - Marija Mihailovic
- Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy
- Laboratory of Stem Cell Epigenetics, IEO, European Institute of Oncology, IRCCS, Milan, Italy
| | - Giuseppe Merla
- Division of Medical Genetics, Fondazione IRCCS Casa Sollievo della Sofferenza, San Giovanni Rotondo, Foggia, Italy
| | - Alvaro Rada-Iglesias
- Center for Molecular Medicine Cologne (CMMC), University of Cologne, Cologne, Germany
- Cluster of Excellence Cellular Stress Responses in Aging-Associated Diseases (CECAD), University of Cologne, Germany
- Institute of Biomedicine and Biotechnology of Cantabria, University of Cantabria, Cantabria, Spain
| | - Cedric Boeckx
- University of Barcelona, Barcelona, Spain
- University of Barcelona Institute of Complex Systems (UBICS), Barcelona, Spain
- Catalan Institute for Advanced Studies and Research (ICREA), Barcelona, Spain
| | - Giuseppe Testa
- Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy
- Laboratory of Stem Cell Epigenetics, IEO, European Institute of Oncology, IRCCS, Milan, Italy
- Human Technopole, Center for Neurogenomics, Via Cristina Belgioioso 171, Milan, Italy
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31
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Satta Y, Zheng W, Nishiyama KV, Iwasaki RL, Hayakawa T, Fujito NT, Takahata N. Two-dimensional site frequency spectrum for detecting, classifying and dating incomplete selective sweeps. Genes Genet Syst 2019; 94:283-300. [DOI: 10.1266/ggs.19-00012] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Affiliation(s)
- Yoko Satta
- School of Advanced Sciences, SOKENDAI (The Graduate University for Advanced Studies)
| | - Wanjing Zheng
- School of Advanced Sciences, SOKENDAI (The Graduate University for Advanced Studies)
| | - Kumiko V. Nishiyama
- School of Advanced Sciences, SOKENDAI (The Graduate University for Advanced Studies)
| | - Risa L. Iwasaki
- School of Advanced Sciences, SOKENDAI (The Graduate University for Advanced Studies)
| | - Toshiyuki Hayakawa
- Graduate School of Systems Life Sciences and Faculty of Arts and Science, Kyushu University
| | - Naoko T. Fujito
- Institute for Human Genetics and Department of Epidemiology and Biostatistics, University of California
| | - Naoyuki Takahata
- School of Advanced Sciences, SOKENDAI (The Graduate University for Advanced Studies)
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32
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Schmidt JM, de Manuel M, Marques-Bonet T, Castellano S, Andrés AM. The impact of genetic adaptation on chimpanzee subspecies differentiation. PLoS Genet 2019; 15:e1008485. [PMID: 31765391 PMCID: PMC6901233 DOI: 10.1371/journal.pgen.1008485] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2019] [Revised: 12/09/2019] [Accepted: 10/17/2019] [Indexed: 12/25/2022] Open
Abstract
Chimpanzees, humans' closest relatives, are in danger of extinction. Aside from direct human impacts such as hunting and habitat destruction, a key threat is transmissible disease. As humans continue to encroach upon their habitats, which shrink in size and grow in density, the risk of inter-population and cross-species viral transmission increases, a point dramatically made in the reverse with the global HIV/AIDS pandemic. Inhabiting central Africa, the four subspecies of chimpanzees differ in demographic history and geographical range, and are likely differentially adapted to their particular local environments. To quantitatively explore genetic adaptation, we investigated the genic enrichment for SNPs highly differentiated between chimpanzee subspecies. Previous analyses of such patterns in human populations exhibited limited evidence of adaptation. In contrast, chimpanzees show evidence of recent positive selection, with differences among subspecies. Specifically, we observe strong evidence of recent selection in eastern chimpanzees, with highly differentiated SNPs being uniquely enriched in genic sites in a way that is expected under recent adaptation but not under neutral evolution or background selection. These sites are enriched for genes involved in immune responses to pathogens, and for genes inferred to differentiate the immune response to infection by simian immunodeficiency virus (SIV) in natural vs. non-natural host species. Conversely, central chimpanzees exhibit an enrichment of signatures of positive selection only at cytokine receptors, due to selective sweeps in CCR3, CCR9 and CXCR6 -paralogs of CCR5 and CXCR4, the two major receptors utilized by HIV to enter human cells. Thus, our results suggest that positive selection has contributed to the genetic and phenotypic differentiation of chimpanzee subspecies, and that viruses likely play a predominate role in this differentiation, with SIV being a likely selective agent. Interestingly, our results suggest that SIV has elicited distinctive adaptive responses in these two chimpanzee subspecies.
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MESH Headings
- Adaptation, Physiological/genetics
- Adaptation, Physiological/immunology
- Animals
- Demography
- Genetic Drift
- Genetic Speciation
- HIV/genetics
- HIV/immunology
- HIV/pathogenicity
- Humans
- Immunity, Innate/genetics
- Pan troglodytes/genetics
- Pan troglodytes/immunology
- Pan troglodytes/virology
- Polymorphism, Single Nucleotide/genetics
- Receptors, CCR/genetics
- Receptors, CCR3/genetics
- Receptors, CCR5/genetics
- Receptors, CXCR4/genetics
- Receptors, CXCR6/immunology
- Selection, Genetic/genetics
- Simian Immunodeficiency Virus/genetics
- Simian Immunodeficiency Virus/immunology
- Simian Immunodeficiency Virus/pathogenicity
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Affiliation(s)
- Joshua M. Schmidt
- UCL Genetics Institute, Department of Genetics, Evolution and Environment, University College London, London, United Kingdom
- Max Planck Institute for Evolutionary Anthropology, Department of Evolutionary Genetics, Leipzig, Germany
- * E-mail: (JMS); (AMA)
| | - Marc de Manuel
- Institut de Biologia Evolutiva (Consejo Superior de Investigaciones Científicas–Universitat Pompeu Fabra), Barcelona, Spain
| | - Tomas Marques-Bonet
- Institut de Biologia Evolutiva (Consejo Superior de Investigaciones Científicas–Universitat Pompeu Fabra), Barcelona, Spain
- National Centre for Genomic Analysis–Centre for Genomic Regulation, Barcelona Institute of Science and Technology, Barcelona, Spain
- Institució Catalana de Recerca i Estudis Avançats (ICREA), Barcelona, Spain
| | - Sergi Castellano
- Max Planck Institute for Evolutionary Anthropology, Department of Evolutionary Genetics, Leipzig, Germany
- Genetics and Genomic Medicine Programme, Great Ormond Street Institute of Child Health, University College London (UCL), London, United Kingdom
- UCL Genomics, London, United Kingdom
| | - Aida M. Andrés
- UCL Genetics Institute, Department of Genetics, Evolution and Environment, University College London, London, United Kingdom
- Max Planck Institute for Evolutionary Anthropology, Department of Evolutionary Genetics, Leipzig, Germany
- * E-mail: (JMS); (AMA)
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Refoyo-Martínez A, da Fonseca RR, Halldórsdóttir K, Árnason E, Mailund T, Racimo F. Identifying loci under positive selection in complex population histories. Genome Res 2019; 29:1506-1520. [PMID: 31362936 PMCID: PMC6724678 DOI: 10.1101/gr.246777.118] [Citation(s) in RCA: 28] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2018] [Accepted: 07/23/2019] [Indexed: 12/24/2022]
Abstract
Detailed modeling of a species' history is of prime importance for understanding how natural selection operates over time. Most methods designed to detect positive selection along sequenced genomes, however, use simplified representations of past histories as null models of genetic drift. Here, we present the first method that can detect signatures of strong local adaptation across the genome using arbitrarily complex admixture graphs, which are typically used to describe the history of past divergence and admixture events among any number of populations. The method-called graph-aware retrieval of selective sweeps (GRoSS)-has good power to detect loci in the genome with strong evidence for past selective sweeps and can also identify which branch of the graph was most affected by the sweep. As evidence of its utility, we apply the method to bovine, codfish, and human population genomic data containing panels of multiple populations related in complex ways. We find new candidate genes for important adaptive functions, including immunity and metabolism in understudied human populations, as well as muscle mass, milk production, and tameness in specific bovine breeds. We are also able to pinpoint the emergence of large regions of differentiation owing to inversions in the history of Atlantic codfish.
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Affiliation(s)
- Alba Refoyo-Martínez
- Lundbeck GeoGenetics Centre, The Globe Institute, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen 1350, Denmark
| | - Rute R da Fonseca
- Centre for Macroecology, Evolution and Climate, The Globe Institute, Faculty of Health and Medical Sciences, University of Copenhagen, Copehnagen 2100, Denmark
| | - Katrín Halldórsdóttir
- Faculty of Life and Environmental Sciences, University of Iceland, Reykjavík 107, Iceland
| | - Einar Árnason
- Faculty of Life and Environmental Sciences, University of Iceland, Reykjavík 107, Iceland
- Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, Massachusetts 02138, USA
| | - Thomas Mailund
- Bioinformatics Research Centre, Aarhus University, Aarhus 8000, Denmark
| | - Fernando Racimo
- Lundbeck GeoGenetics Centre, The Globe Institute, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen 1350, Denmark
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34
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Kim JY, Jeong S, Kim KH, Lim WJ, Lee HY, Kim N. Discovery of Genomic Characteristics and Selection Signatures in Korean Indigenous Goats Through Comparison of 10 Goat Breeds. Front Genet 2019; 10:699. [PMID: 31440273 PMCID: PMC6694180 DOI: 10.3389/fgene.2019.00699] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2018] [Accepted: 07/03/2019] [Indexed: 12/16/2022] Open
Abstract
Indigenous breeds develop their own genomic characteristics by adapting to local environments or cultures over long periods of time. Most of them are not particularly productive in commercial terms, but they have abilities to survive in harsh environments or tolerate to specific diseases. Their adaptive characteristics play an important role as genetic materials for improving commercial breeds. As a step toward this goal, we analyzed the genome of Korean indigenous goats within 10 goat breeds. We collected 136 goat individuals by sequencing 46 new goats and employing 90 publicly available goats. Our whole-genome data was comprised of three indigenous breeds (Korean indigenous goat, Iranian indigenous goat, and Moroccan indigenous goat; n = 29, 18, 20), six commercial breeds (Saanen, Boer, Anglo-Nubian, British Alpine, Alpine, and Korean crossbred; n = 16, 11, 5, 5, 2, 13), and their ancestral species (Capra aegagrus; n = 17). We identified that the Iranian indigenous goat and the Moroccan indigenous goat have relatively similar genomic characteristics within a large category of genomic diversity but found that the Korean indigenous goat has unique genomic characteristics distinguished from the other nine breeds. Through population analysis, we confirmed that these characteristics have resulted from a near-isolated environment with strong genetic drift. The Korean indigenous goat experienced a severe genetic bottleneck upon entering the Korean Peninsula about 2,000 years ago, and has subsequently rarely experienced genetic interactions with other goat breeds. From selection analysis and gene-set enrichment analysis, we revealed selection signals for Salmonella infection and cardiomyopathy in the genome of the Korean indigenous goat. These adaptive characteristics were further identified with genomic-based evidence. We uncovered genomic regions of selective sweeps in the LBP and BPI genes (Salmonella infection) and the TTN and ITGB6 genes (cardiomyopathy), among several candidate genes. Our research presents unique genomic characteristics and distinctive selection signals of the Korean indigenous goat based on the extensive comparison. Although the adaptive traits require further validation through biological experiments, our findings are expected to provide a direction for future biodiversity conservation strategies and to contribute another option to genomic-based breeding programmes for improving the viability of Capra hircus.
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Affiliation(s)
- Jae-Yoon Kim
- Genome Editing Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon, South Korea.,Department of Bioinformatics, KRIBB School of Bioscience, University of Science and Technology (UST), Daejeon, South Korea
| | - Seongmun Jeong
- Genome Editing Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon, South Korea
| | - Kyoung Hyoun Kim
- Genome Editing Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon, South Korea.,Department of Bioinformatics, KRIBB School of Bioscience, University of Science and Technology (UST), Daejeon, South Korea
| | - Won-Jun Lim
- Genome Editing Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon, South Korea.,Department of Bioinformatics, KRIBB School of Bioscience, University of Science and Technology (UST), Daejeon, South Korea
| | - Ho-Yeon Lee
- Genome Editing Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon, South Korea.,Department of Bioinformatics, KRIBB School of Bioscience, University of Science and Technology (UST), Daejeon, South Korea
| | - Namshin Kim
- Genome Editing Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon, South Korea.,Department of Bioinformatics, KRIBB School of Bioscience, University of Science and Technology (UST), Daejeon, South Korea
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35
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Lee KM, Coop G. Population genomics perspectives on convergent adaptation. Philos Trans R Soc Lond B Biol Sci 2019; 374:20180236. [PMID: 31154979 PMCID: PMC6560269 DOI: 10.1098/rstb.2018.0236] [Citation(s) in RCA: 40] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/21/2018] [Indexed: 01/12/2023] Open
Abstract
Convergent adaptation is the independent evolution of similar traits conferring a fitness advantage in two or more lineages. Cases of convergent adaptation inform our ideas about the ecological and molecular basis of adaptation. In judging the degree to which putative cases of convergent adaptation provide an independent replication of the process of adaptation, it is necessary to establish the degree to which the evolutionary change is unexpected under null models and to show that selection has repeatedly, independently driven these changes. Here, we discuss the issues that arise from these questions particularly for closely related populations, where gene flow and standing variation add additional layers of complexity. We outline a conceptual framework to guide intuition as to the extent to which evolutionary change represents the independent gain of information owing to selection and show that this is a measure of how surprised we should be by convergence. Additionally, we summarize the ways population and quantitative genetics and genomics may help us address questions related to convergent adaptation, as well as open new questions and avenues of research. This article is part of the theme issue 'Convergent evolution in the genomics era: new insights and directions'.
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Affiliation(s)
- Kristin M. Lee
- Center for Population Biology, University of California, Davis, CA 95616, USA
- Department of Evolution and Ecology, University of California, Davis, CA 95616, USA
| | - Graham Coop
- Center for Population Biology, University of California, Davis, CA 95616, USA
- Department of Evolution and Ecology, University of California, Davis, CA 95616, USA
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36
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Fernandes V, Brucato N, Ferreira JC, Pedro N, Cavadas B, Ricaut FX, Alshamali F, Pereira L. Genome-Wide Characterization of Arabian Peninsula Populations: Shedding Light on the History of a Fundamental Bridge between Continents. Mol Biol Evol 2019; 36:575-586. [PMID: 30649405 DOI: 10.1093/molbev/msz005] [Citation(s) in RCA: 27] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022] Open
Abstract
The Arabian Peninsula (AP) was an important crossroad between Africa, Asia, and Europe, being the cradle of the structure defining these main human population groups, and a continuing path for their admixture. The screening of 741,000 variants in 420 Arabians and 80 Iranians allowed us to quantify the dominant sub-Saharan African admixture in the west of the peninsula, whereas South Asian and Levantine/European influence was stronger in the east, leading to a rift between western and eastern sides of the Peninsula. Dating of the admixture events indicated that Indian Ocean slave trade and Islamization periods were important moments in the genetic makeup of the region. The western-eastern axis was also observable in terms of positive selection of diversity conferring lactose tolerance, with the West AP developing local adaptation and the East AP acquiring the derived allele selected in European populations and existing in South Asia. African selected malaria resistance through the DARC gene was enriched in all Arabian genomes, especially in the western part. Clear European influences associated with skin and eye color were equally frequent across the Peninsula.
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Affiliation(s)
- Veronica Fernandes
- i3S - Instituto de Investigação e Inovação em Saúde, Universidade do Porto, Porto, Portugal.,IPATIMUP - Instituto de Patologia e Imunologia Molecular da Universidade do Porto, Porto, Portugal
| | - Nicolas Brucato
- Laboratoire Évolution & Diversité Biologique (EDB UMR 5174), Université de Toulouse Midi-Pyrénées, CNRS, IRD, UPS. 118 route de Narbonne, Bat 4R1, 31062 Toulouse cedex 9, France
| | - Joana C Ferreira
- i3S - Instituto de Investigação e Inovação em Saúde, Universidade do Porto, Porto, Portugal.,IPATIMUP - Instituto de Patologia e Imunologia Molecular da Universidade do Porto, Porto, Portugal.,Instituto de Ciências Biomédicas Abel Salazar (ICBAS), Universidade do Porto, Porto, Portugal
| | - Nicole Pedro
- i3S - Instituto de Investigação e Inovação em Saúde, Universidade do Porto, Porto, Portugal.,IPATIMUP - Instituto de Patologia e Imunologia Molecular da Universidade do Porto, Porto, Portugal
| | - Bruno Cavadas
- i3S - Instituto de Investigação e Inovação em Saúde, Universidade do Porto, Porto, Portugal.,IPATIMUP - Instituto de Patologia e Imunologia Molecular da Universidade do Porto, Porto, Portugal
| | - François-Xavier Ricaut
- Laboratoire Évolution & Diversité Biologique (EDB UMR 5174), Université de Toulouse Midi-Pyrénées, CNRS, IRD, UPS. 118 route de Narbonne, Bat 4R1, 31062 Toulouse cedex 9, France
| | - Farida Alshamali
- Department of Forensic Sciences and Criminology, Dubai Police General Headquarters, Dubai, United Arab Emirates
| | - Luisa Pereira
- i3S - Instituto de Investigação e Inovação em Saúde, Universidade do Porto, Porto, Portugal.,IPATIMUP - Instituto de Patologia e Imunologia Molecular da Universidade do Porto, Porto, Portugal.,Faculdade de Medicina da Universidade do Porto, Porto, Portugal
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37
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Kuhlwilm M, Boeckx C. A catalog of single nucleotide changes distinguishing modern humans from archaic hominins. Sci Rep 2019; 9:8463. [PMID: 31186485 PMCID: PMC6560109 DOI: 10.1038/s41598-019-44877-x] [Citation(s) in RCA: 40] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2019] [Accepted: 05/24/2019] [Indexed: 01/06/2023] Open
Abstract
Throughout the past decade, studying ancient genomes has provided unique insights into human prehistory, and differences between modern humans and other branches like Neanderthals can enrich our understanding of the molecular basis of unique modern human traits. Modern human variation and the interactions between different hominin lineages are now well studied, making it reasonable to go beyond fixed genetic changes and explore changes that are observed at high frequency in present-day humans. Here, we identify 571 genes with non-synonymous changes at high frequency. We suggest that molecular mechanisms in cell division and networks affecting cellular features of neurons were prominently modified by these changes. Complex phenotypes in brain growth trajectory and cognitive traits are likely influenced by these networks and other non-coding changes presented here. We propose that at least some of these changes contributed to uniquely human traits, and should be prioritized for experimental validation.
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Affiliation(s)
- Martin Kuhlwilm
- Institut de Biologia Evolutiva, (CSIC-Universitat Pompeu Fabra), PRBB, Barcelona, Spain
| | - Cedric Boeckx
- ICREA, Barcelona, Spain.
- University of Barcelona, Barcelona, Spain.
- UB Institute of Complex Systems, Barcelona, Spain.
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38
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Librado P, Orlando L. Detecting Signatures of Positive Selection along Defined Branches of a Population Tree Using LSD. Mol Biol Evol 2019; 35:1520-1535. [PMID: 29617830 PMCID: PMC5967574 DOI: 10.1093/molbev/msy053] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022] Open
Abstract
Identifying the genomic basis underlying local adaptation is paramount to evolutionary biology, and bears many applications in the fields of conservation biology, crop, and animal breeding, as well as personalized medicine. Although many approaches have been developed to detect signatures of positive selection within single populations and population pairs, the increasing wealth of high-throughput sequencing data requires improved methods capable of handling multiple, and ideally large number of, populations in a single analysis. In this study, we introduce LSD (levels of exclusively shared differences), a fast and flexible framework to perform genome-wide selection scans, along the internal and external branches of a given population tree. We use forward simulations to demonstrate that LSD can identify branches targeted by positive selection with remarkable sensitivity and specificity. We illustrate a range of potential applications by analyzing data from the 1000 Genomes Project and uncover a list of adaptive candidates accompanying the expansion of anatomically modern humans out of Africa and their spread to Europe.
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Affiliation(s)
- Pablo Librado
- Centre for GeoGenetics, Natural History Museum of Denmark, Copenhagen, Denmark
- Laboratoire d’Anthropobiologie Moléculaire et d’Imagerie de Synthèse, CNRS UMR 5288, Université de Toulouse, Université Paul Sabatier, Toulouse, France
- Corresponding author: E-mail:
| | - Ludovic Orlando
- Centre for GeoGenetics, Natural History Museum of Denmark, Copenhagen, Denmark
- Laboratoire d’Anthropobiologie Moléculaire et d’Imagerie de Synthèse, CNRS UMR 5288, Université de Toulouse, Université Paul Sabatier, Toulouse, France
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Yang X, Song J, Todd J, Peng Z, Paudel D, Luo Z, Ma X, You Q, Hanson E, Zhao Z, Zhao Y, Zhang J, Ming R, Wang J. Target enrichment sequencing of 307 germplasm accessions identified ancestry of ancient and modern hybrids and signatures of adaptation and selection in sugarcane (Saccharum spp.), a 'sweet' crop with 'bitter' genomes. PLANT BIOTECHNOLOGY JOURNAL 2019; 17:488-498. [PMID: 30051590 PMCID: PMC6335080 DOI: 10.1111/pbi.12992] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/10/2018] [Revised: 07/18/2018] [Accepted: 07/21/2018] [Indexed: 05/07/2023]
Abstract
Sugarcane (Saccharum spp.) is a highly energy-efficient crop primarily for sugar and bio-ethanol production. Sugarcane genetics and cultivar improvement have been extremely challenging largely due to its complex genomes with high polyploidy levels. In this study, we deeply sequenced the coding regions of 307 sugarcane germplasm accessions. Nearly five million sequence variations were catalogued. The average of 98× sequence depth enabled different allele dosages of sequence variation to be differentiated in this polyploid collection. With selected high-quality genome-wide SNPs, we performed population genomic studies and environmental association analysis. Results illustrated that the ancient sugarcane hybrids, S. barberi and S. sinense, and modern sugarcane hybrids are significantly different in terms of genomic compositions, hybridization processes and their potential ancestry contributors. Linkage disequilibrium (LD) analysis showed a large extent of LD in sugarcane, with 962.4 Kbp, 2739.2 Kbp and 3573.6 Kbp for S. spontaneum, S. officinarum and modern S. hybrids respectively. Candidate selective sweep regions and genes were identified during domestication and historical selection processes of sugarcane in addition to genes associated with environmental variables at the original locations of the collection. This research provided an extensive amount of genomic resources for sugarcane community and the in-depth population genomic analyses shed light on the breeding and evolution history of sugarcane, a highly polyploid species.
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Affiliation(s)
- Xiping Yang
- Agronomy DepartmentUniversity of FloridaGainesvilleFLUSA
| | - Jian Song
- Agronomy DepartmentUniversity of FloridaGainesvilleFLUSA
| | - James Todd
- Sugarcane Research UnitUSDA‐ARSHoumaLAUSA
| | - Ze Peng
- Agronomy DepartmentUniversity of FloridaGainesvilleFLUSA
| | - Dev Paudel
- Agronomy DepartmentUniversity of FloridaGainesvilleFLUSA
| | - Ziliang Luo
- Agronomy DepartmentUniversity of FloridaGainesvilleFLUSA
| | - Xiaokai Ma
- Center for Genomics and BiotechnologyKey Laboratory of Genetics, Breeding and Multiple Utilization of CorpsMinistry of EducationFujian Provincial Key Laboratory of Haixia Applied Plant Systems BiologyFujian Agriculture and Forestry UniversityFuzhouFujianChina
| | - Qian You
- Agronomy DepartmentUniversity of FloridaGainesvilleFLUSA
- Center for Genomics and BiotechnologyKey Laboratory of Genetics, Breeding and Multiple Utilization of CorpsMinistry of EducationFujian Provincial Key Laboratory of Haixia Applied Plant Systems BiologyFujian Agriculture and Forestry UniversityFuzhouFujianChina
| | - Erik Hanson
- Agronomy DepartmentUniversity of FloridaGainesvilleFLUSA
| | - Zifan Zhao
- Agronomy DepartmentUniversity of FloridaGainesvilleFLUSA
| | - Yang Zhao
- Agronomy DepartmentUniversity of FloridaGainesvilleFLUSA
| | - Jisen Zhang
- Center for Genomics and BiotechnologyKey Laboratory of Genetics, Breeding and Multiple Utilization of CorpsMinistry of EducationFujian Provincial Key Laboratory of Haixia Applied Plant Systems BiologyFujian Agriculture and Forestry UniversityFuzhouFujianChina
| | - Ray Ming
- Center for Genomics and BiotechnologyKey Laboratory of Genetics, Breeding and Multiple Utilization of CorpsMinistry of EducationFujian Provincial Key Laboratory of Haixia Applied Plant Systems BiologyFujian Agriculture and Forestry UniversityFuzhouFujianChina
- Department of Plant BiologyUniversity of Illinois at Urbana‐ChampaignUrbanaILUSA
| | - Jianping Wang
- Agronomy DepartmentUniversity of FloridaGainesvilleFLUSA
- Center for Genomics and BiotechnologyKey Laboratory of Genetics, Breeding and Multiple Utilization of CorpsMinistry of EducationFujian Provincial Key Laboratory of Haixia Applied Plant Systems BiologyFujian Agriculture and Forestry UniversityFuzhouFujianChina
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40
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Detection and Classification of Hard and Soft Sweeps from Unphased Genotypes by Multilocus Genotype Identity. Genetics 2018; 210:1429-1452. [PMID: 30315068 DOI: 10.1534/genetics.118.301502] [Citation(s) in RCA: 40] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2018] [Accepted: 10/08/2018] [Indexed: 11/18/2022] Open
Abstract
Positive natural selection can lead to a decrease in genomic diversity at the selected site and at linked sites, producing a characteristic signature of elevated expected haplotype homozygosity. These selective sweeps can be hard or soft. In the case of a hard selective sweep, a single adaptive haplotype rises to high population frequency, whereas multiple adaptive haplotypes sweep through the population simultaneously in a soft sweep, producing distinct patterns of genetic variation in the vicinity of the selected site. Measures of expected haplotype homozygosity have previously been used to detect sweeps in multiple study systems. However, these methods are formulated for phased haplotype data, typically unavailable for nonmodel organisms, and some may have reduced power to detect soft sweeps due to their increased genetic diversity relative to hard sweeps. To address these limitations, we applied the H12 and H2/H1 statistics proposed in 2015 by Garud et al., which have power to detect both hard and soft sweeps, to unphased multilocus genotypes, denoting them as G12 and G2/G1. G12 (and the more direct expected homozygosity analog to H12, denoted G123) has comparable power to H12 for detecting both hard and soft sweeps. G2/G1 can be used to classify hard and soft sweeps analogously to H2/H1, conditional on a genomic region having high G12 or G123 values. The reason for this power is that, under random mating, the most frequent haplotypes will yield the most frequent multilocus genotypes. Simulations based on parameters compatible with our recent understanding of human demographic history suggest that expected homozygosity methods are best suited for detecting recent sweeps, and increase in power under recent population expansions. Finally, we find candidates for selective sweeps within the 1000 Genomes CEU, YRI, GIH, and CHB populations, which corroborate and complement existing studies.
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41
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Schlebusch CM, Jakobsson M. Tales of Human Migration, Admixture, and Selection in Africa. Annu Rev Genomics Hum Genet 2018; 19:405-428. [DOI: 10.1146/annurev-genom-083117-021759] [Citation(s) in RCA: 55] [Impact Index Per Article: 9.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
In the last three decades, genetic studies have played an increasingly important role in exploring human history. They have helped to conclusively establish that anatomically modern humans first appeared in Africa roughly 250,000–350,000 years before present and subsequently migrated to other parts of the world. The history of humans in Africa is complex and includes demographic events that influenced patterns of genetic variation across the continent. Through genetic studies, it has become evident that deep African population history is captured by relationships among African hunter–gatherers, as the world's deepest population divergences occur among these groups, and that the deepest population divergence dates to 300,000 years before present. However, the spread of pastoralism and agriculture in the last few thousand years has shaped the geographic distribution of present-day Africans and their genetic diversity. With today's sequencing technologies, we can obtain full genome sequences from diverse sets of extant and prehistoric Africans. The coming years will contribute exciting new insights toward deciphering human evolutionary history in Africa.
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Affiliation(s)
- Carina M. Schlebusch
- Human Evolution, Department of Organismal Biology, Uppsala University, SE-752 36 Uppsala, Sweden;,
- Centre for Anthropological Research and Department of Anthropology and Development Studies, University of Johannesburg, 2006 Johannesburg, South Africa
- SciLifeLab, SE-751 23 Uppsala, Sweden
| | - Mattias Jakobsson
- Human Evolution, Department of Organismal Biology, Uppsala University, SE-752 36 Uppsala, Sweden;,
- Centre for Anthropological Research and Department of Anthropology and Development Studies, University of Johannesburg, 2006 Johannesburg, South Africa
- SciLifeLab, SE-751 23 Uppsala, Sweden
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42
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Guichard E, Peona V, Malagoli Tagliazucchi G, Abitante L, Jagoda E, Musella M, Ricci M, Rubio-Roldán A, Sarno S, Luiselli D, Pettener D, Taccioli C, Pagani L, Garcia-Perez JL, Boattini A. Impact of non-LTR retrotransposons in the differentiation and evolution of anatomically modern humans. Mob DNA 2018; 9:28. [PMID: 30147753 PMCID: PMC6094920 DOI: 10.1186/s13100-018-0133-4] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2018] [Accepted: 08/07/2018] [Indexed: 12/31/2022] Open
Abstract
Background Transposable elements are biologically important components of eukaryote genomes. In particular, non-LTR retrotransposons (N-LTRrs) played a key role in shaping the human genome throughout evolution. In this study, we compared retrotransposon insertions differentially present in the genomes of Anatomically Modern Humans, Neanderthals, Denisovans and Chimpanzees, in order to assess the possible impact of retrotransposition in the differentiation of the human lineage. Results We first identified species-specific N-LTRrs and established their distribution in present day human populations. These analyses shortlisted a group of N-LTRr insertions that were found exclusively in Anatomically Modern Humans. These insertions are associated with an increase in the number of transcriptional/splicing variants of those genes they inserted in. The analysis of the functionality of genes containing human-specific N-LTRr insertions reflects changes that occurred during human evolution. In particular, the expression of genes containing the most recent N-LTRr insertions is enriched in the brain, especially in undifferentiated neurons, and these genes associate in networks related to neuron maturation and migration. Additionally, we identified candidate N-LTRr insertions that have likely produced new functional variants exclusive to modern humans, whose genomic loci show traces of positive selection. Conclusions Our results strongly suggest that N-LTRr impacted our differentiation as a species, most likely inducing an increase in neural complexity, and have been a constant source of genomic variability all throughout the evolution of the human lineage. Electronic supplementary material The online version of this article (10.1186/s13100-018-0133-4) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Etienne Guichard
- 1Department of Biological, Geological and Environmental Sciences, University of Bologna, 40126 Bologna, Italy
| | - Valentina Peona
- 1Department of Biological, Geological and Environmental Sciences, University of Bologna, 40126 Bologna, Italy.,2Department of Evolutionary Biology (EBC), Uppsala University, SE-752 36 Uppsala, Sweden
| | | | - Lucia Abitante
- 1Department of Biological, Geological and Environmental Sciences, University of Bologna, 40126 Bologna, Italy
| | - Evelyn Jagoda
- 4Human Evolutionary Biology, Harvard University, Cambridge, MA 02138 USA
| | - Margherita Musella
- 1Department of Biological, Geological and Environmental Sciences, University of Bologna, 40126 Bologna, Italy
| | - Marco Ricci
- 1Department of Biological, Geological and Environmental Sciences, University of Bologna, 40126 Bologna, Italy
| | - Alejandro Rubio-Roldán
- 5GENYO - Pfizer - Universidad de Granada - Junta de Andalucía Centre for Genomics and Oncological Research, PTS Granada, 18007 Granada, Spain
| | - Stefania Sarno
- 1Department of Biological, Geological and Environmental Sciences, University of Bologna, 40126 Bologna, Italy
| | - Donata Luiselli
- 6Department of Cultural Heritage, University of Bologna, Ravenna Campus, 48121 Ravenna, Italy
| | - Davide Pettener
- 1Department of Biological, Geological and Environmental Sciences, University of Bologna, 40126 Bologna, Italy
| | - Cristian Taccioli
- 7Department of Animal Medicine, Production and Health, University of Padova, 35020 Legnaro, Pd Italy
| | - Luca Pagani
- 8Department of Biology, University of Padova, 35131 Padova, Italy.,9Estonian Biocentre, Institute of Genomics, University of Tartu, 51010 Tartu, Estonia
| | - Jose Luis Garcia-Perez
- 5GENYO - Pfizer - Universidad de Granada - Junta de Andalucía Centre for Genomics and Oncological Research, PTS Granada, 18007 Granada, Spain.,MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine (IGMM), University of Edinburgh, Western General Hospital, Edinburgh, EH4 2XU UK
| | - Alessio Boattini
- 1Department of Biological, Geological and Environmental Sciences, University of Bologna, 40126 Bologna, Italy
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43
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Pendleton AL, Shen F, Taravella AM, Emery S, Veeramah KR, Boyko AR, Kidd JM. Comparison of village dog and wolf genomes highlights the role of the neural crest in dog domestication. BMC Biol 2018; 16:64. [PMID: 29950181 PMCID: PMC6022502 DOI: 10.1186/s12915-018-0535-2] [Citation(s) in RCA: 89] [Impact Index Per Article: 14.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2018] [Accepted: 05/23/2018] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND Domesticated from gray wolves between 10 and 40 kya in Eurasia, dogs display a vast array of phenotypes that differ from their ancestors, yet mirror other domesticated animal species, a phenomenon known as the domestication syndrome. Here, we use signatures persisting in dog genomes to identify genes and pathways possibly altered by the selective pressures of domestication. RESULTS Whole-genome SNP analyses of 43 globally distributed village dogs and 10 wolves differentiated signatures resulting from domestication rather than breed formation. We identified 246 candidate domestication regions containing 10.8 Mb of genome sequence and 429 genes. The regions share haplotypes with ancient dogs, suggesting that the detected signals are not the result of recent selection. Gene enrichments highlight numerous genes linked to neural crest and central nervous system development as well as neurological function. Read depth analysis suggests that copy number variation played a minor role in dog domestication. CONCLUSIONS Our results identify genes that act early in embryogenesis and can confer phenotypes distinguishing domesticated dogs from wolves, such as tameness, smaller jaws, floppy ears, and diminished craniofacial development as the targets of selection during domestication. These differences reflect the phenotypes of the domestication syndrome, which can be explained by alterations in the migration or activity of neural crest cells during development. We propose that initial selection during early dog domestication was for behavior, a trait influenced by genes which act in the neural crest, which secondarily gave rise to the phenotypes of modern dogs.
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Affiliation(s)
- Amanda L Pendleton
- Department of Human Genetics, University of Michigan, Ann Arbor, MI, 48109, USA
| | - Feichen Shen
- Department of Human Genetics, University of Michigan, Ann Arbor, MI, 48109, USA
| | - Angela M Taravella
- Department of Human Genetics, University of Michigan, Ann Arbor, MI, 48109, USA
| | - Sarah Emery
- Department of Human Genetics, University of Michigan, Ann Arbor, MI, 48109, USA
| | - Krishna R Veeramah
- Department of Ecology and Evolution, Stony Brook University, Stony Brook, NY, 11794, USA
| | - Adam R Boyko
- Department of Biomedical Sciences, Cornell University, Ithaca, New York, 14853, USA
| | - Jeffrey M Kidd
- Department of Human Genetics, University of Michigan, Ann Arbor, MI, 48109, USA.
- Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, 48109, USA.
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44
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Satta Y, Fujito NT, Takahata N. Nonequilibrium Neutral Theory for Hitchhikers. Mol Biol Evol 2018; 35:1362-1365. [PMID: 29722819 DOI: 10.1093/molbev/msy093] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Selective sweep is a phenomenon of reduced variation at presumably neutrally evolving sites (hitchhikers) in the genome that is caused by the spread of a selected allele at a linked focal site, and is widely used to test for action of positive selection. Nonetheless, selective sweep may also provide an unprecedented opportunity for studying nonequilibrium properties of the neutral variation itself. We have demonstrated this possibility in relation to ancient selective sweep for modern human-specific changes and ongoing selective sweep for local population-specific changes.
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Affiliation(s)
- Yoko Satta
- Department of Evolutionary Studies of Biosystems, School of Advanced Sciences, SOKENDAI (The Graduate University for Advanced Studies), Hayama, Kanagawa, Japan
| | - Naoko T Fujito
- Department of Evolutionary Studies of Biosystems, School of Advanced Sciences, SOKENDAI (The Graduate University for Advanced Studies), Hayama, Kanagawa, Japan
| | - Naoyuki Takahata
- Department of Evolutionary Studies of Biosystems, School of Advanced Sciences, SOKENDAI (The Graduate University for Advanced Studies), Hayama, Kanagawa, Japan
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45
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Weigand H, Leese F. Detecting signatures of positive selection in non-model species using genomic data. Zool J Linn Soc 2018. [DOI: 10.1093/zoolinnean/zly007] [Citation(s) in RCA: 43] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Affiliation(s)
- Hannah Weigand
- Aquatic Ecosystem Research, University of Duisburg-Essen, Universitätsstraße, Essen, Germany
| | - Florian Leese
- Aquatic Ecosystem Research, University of Duisburg-Essen, Universitätsstraße, Essen, Germany
- Centre for Water and Environmental Research (ZWU), University of Duisburg-Essen, Universitätsstraße, Essen, Germany
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46
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Racimo F, Berg JJ, Pickrell JK. Detecting Polygenic Adaptation in Admixture Graphs. Genetics 2018; 208:1565-1584. [PMID: 29348143 PMCID: PMC5887149 DOI: 10.1534/genetics.117.300489] [Citation(s) in RCA: 73] [Impact Index Per Article: 12.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2017] [Accepted: 01/16/2018] [Indexed: 01/09/2023] Open
Abstract
An open question in human evolution is the importance of polygenic adaptation: adaptive changes in the mean of a multifactorial trait due to shifts in allele frequencies across many loci. In recent years, several methods have been developed to detect polygenic adaptation using loci identified in genome-wide association studies (GWAS). Though powerful, these methods suffer from limited interpretability: they can detect which sets of populations have evidence for polygenic adaptation, but are unable to reveal where in the history of multiple populations these processes occurred. To address this, we created a method to detect polygenic adaptation in an admixture graph, which is a representation of the historical divergences and admixture events relating different populations through time. We developed a Markov chain Monte Carlo (MCMC) algorithm to infer branch-specific parameters reflecting the strength of selection in each branch of a graph. Additionally, we developed a set of summary statistics that are fast to compute and can indicate which branches are most likely to have experienced polygenic adaptation. We show via simulations that this method-which we call PolyGraph-has good power to detect polygenic adaptation, and applied it to human population genomic data from around the world. We also provide evidence that variants associated with several traits, including height, educational attainment, and self-reported unibrow, have been influenced by polygenic adaptation in different populations during human evolution.
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Affiliation(s)
- Fernando Racimo
- New York Genome Center, New York, New York 10013
- Centre for GeoGenetics, Natural History Museum of Denmark, University of Copenhagen, 1350, Denmark
| | - Jeremy J Berg
- Department of Biological Sciences, Columbia University, New York, New York 10027
| | - Joseph K Pickrell
- New York Genome Center, New York, New York 10013
- Department of Biological Sciences, Columbia University, New York, New York 10027
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47
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Jagoda E, Lawson DJ, Wall JD, Lambert D, Muller C, Westaway M, Leavesley M, Capellini TD, Mirazón Lahr M, Gerbault P, Thomas MG, Migliano AB, Willerslev E, Metspalu M, Pagani L. Disentangling Immediate Adaptive Introgression from Selection on Standing Introgressed Variation in Humans. Mol Biol Evol 2018; 35:623-630. [PMID: 29220488 PMCID: PMC5850494 DOI: 10.1093/molbev/msx314] [Citation(s) in RCA: 35] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022] Open
Abstract
Recent studies have reported evidence suggesting that portions of contemporary human genomes introgressed from archaic hominin populations went to high frequencies due to positive selection. However, no study to date has specifically addressed the postintrogression population dynamics of these putative cases of adaptive introgression. Here, for the first time, we specifically define cases of immediate adaptive introgression (iAI) in which archaic haplotypes rose to high frequencies in humans as a result of a selective sweep that occurred shortly after the introgression event. We define these cases as distinct from instances of selection on standing introgressed variation (SI), in which an introgressed haplotype initially segregated neutrally and subsequently underwent positive selection. Using a geographically diverse data set, we report novel cases of selection on introgressed variation in living humans and shortlist among these cases those whose selective sweeps are more consistent with having been the product of iAI rather than SI. Many of these novel inferred iAI haplotypes have potential biological relevance, including three that contain immune-related genes in West Siberians, South Asians, and West Eurasians. Overall, our results suggest that iAI may not represent the full picture of positive selection on archaically introgressed haplotypes in humans and that more work needs to be done to analyze the role of SI in the archaic introgression landscape of living humans.
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Affiliation(s)
- Evelyn Jagoda
- Human Evolutionary Biology, Harvard University, Cambridge, MA
| | - Daniel J Lawson
- Integrative Epidemiology Unit, Population Health Sciences, University of Bristol, Bristol, United Kingdom
| | - Jeffrey D Wall
- Institute for Human Genetics, University of California, San Francisco, CA
| | - David Lambert
- Australian Research Centre for Human Evolution, Environmental Futures Research Institute, Griffith University, Nathan, QLD, Australia
| | - Craig Muller
- Center for GeoGenetics, University of Copenhagen, Copenhagen, Denmark
| | - Michael Westaway
- Australian Research Centre for Human Evolution, Environmental Futures Research Institute, Griffith University, Nathan, QLD, Australia
| | - Matthew Leavesley
- Department of Anthropology and Sociology, University of Papua New Guinea, Port Moresby, Papua New Guinea
- Tropical Archaeology Research Laboratory, College for Education, Arts and Social Sciences, James Cook University, Cairns, Queensland, Australia
| | | | - Marta Mirazón Lahr
- Department of Archaeology, Leverhulme Centre for Human Evolutionary Studies, University of Cambridge, Cambridge, United Kingdom
| | - Pascale Gerbault
- Research Department of Genetics Evolution and Environment, University College London, London, United Kingdom
- UCL Genetics Institute, University College London, London, United Kingdom
| | - Mark G Thomas
- Research Department of Genetics Evolution and Environment, University College London, London, United Kingdom
- Department of Anthropology, University College London, London, United Kingdom
| | | | - Eske Willerslev
- Center for GeoGenetics, University of Copenhagen, Copenhagen, Denmark
- Department of Zoology, University of Cambridge, Cambridge, United Kingdom
- Wellcome Trust Sanger Institute, Cambridge, United Kingdom
| | | | - Luca Pagani
- Estonian Biocentre, Tartu, Estonia
- APE Lab, Department of Biology, University of Padova, Padova, Italy
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48
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Yew CW, Lu D, Deng L, Wong LP, Ong RTH, Lu Y, Wang X, Yunus Y, Aghakhanian F, Mokhtar SS, Hoque MZ, Voo CLY, Abdul Rahman T, Bhak J, Phipps ME, Xu S, Teo YY, Kumar SV, Hoh BP. Genomic structure of the native inhabitants of Peninsular Malaysia and North Borneo suggests complex human population history in Southeast Asia. Hum Genet 2018; 137:161-173. [DOI: 10.1007/s00439-018-1869-0] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2017] [Accepted: 01/22/2018] [Indexed: 11/28/2022]
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49
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Cheng X, Xu C, DeGiorgio M. Fast and robust detection of ancestral selective sweeps. Mol Ecol 2017; 26:6871-6891. [DOI: 10.1111/mec.14416] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2017] [Revised: 10/16/2017] [Accepted: 10/23/2017] [Indexed: 01/01/2023]
Affiliation(s)
- Xiaoheng Cheng
- Huck Institutes of Life Sciences; Pennsylvania State University; University Park PA USA
- Department of Biology; Pennsylvania State University; University Park PA USA
| | - Cheng Xu
- Huck Institutes of Life Sciences; Pennsylvania State University; University Park PA USA
| | - Michael DeGiorgio
- Department of Biology; Pennsylvania State University; University Park PA USA
- Department of Statistics; Pennsylvania State University; University Park PA USA
- Institute for CyberScience; Pennsylvania State University; University Park PA USA
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50
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Theofanopoulou C, Gastaldon S, O’Rourke T, Samuels BD, Messner A, Martins PT, Delogu F, Alamri S, Boeckx C. Self-domestication in Homo sapiens: Insights from comparative genomics. PLoS One 2017; 12:e0185306. [PMID: 29045412 PMCID: PMC5646786 DOI: 10.1371/journal.pone.0185306] [Citation(s) in RCA: 77] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2017] [Accepted: 09/11/2017] [Indexed: 02/07/2023] Open
Abstract
This study identifies and analyzes statistically significant overlaps between selective sweep screens in anatomically modern humans and several domesticated species. The results obtained suggest that (paleo-)genomic data can be exploited to complement the fossil record and support the idea of self-domestication in Homo sapiens, a process that likely intensified as our species populated its niche. Our analysis lends support to attempts to capture the "domestication syndrome" in terms of alterations to certain signaling pathways and cell lineages, such as the neural crest.
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Affiliation(s)
- Constantina Theofanopoulou
- Section of General Linguistics, Universitat de Barcelona, Barcelona, Spain
- Universitat de Barcelona Institute for Complex Systems, Barcelona, Spain
| | - Simone Gastaldon
- Section of General Linguistics, Universitat de Barcelona, Barcelona, Spain
- School of Psychology, University of Padova, Padova, Italy
| | - Thomas O’Rourke
- Section of General Linguistics, Universitat de Barcelona, Barcelona, Spain
| | - Bridget D. Samuels
- Center for Craniofacial Molecular Biology, University of Southern California, Los Angeles, CA, United States of America
| | - Angela Messner
- Section of General Linguistics, Universitat de Barcelona, Barcelona, Spain
| | | | - Francesco Delogu
- Department of Chemistry, Biotechnology and Food Science, Norwegian University of Life Sciences (NMBU), Ås, Norway
| | - Saleh Alamri
- Section of General Linguistics, Universitat de Barcelona, Barcelona, Spain
| | - Cedric Boeckx
- Section of General Linguistics, Universitat de Barcelona, Barcelona, Spain
- Universitat de Barcelona Institute for Complex Systems, Barcelona, Spain
- ICREA, Barcelona, Spain
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