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Ma X, Lu Y, Xu S. Adaptive Evolution of Two Distinct Adaptive Haplotypes of Neanderthal Origin at the Immunoglobulin Heavy-chain Locus in East Asian and European Populations. Mol Biol Evol 2024; 41:msae147. [PMID: 39011558 DOI: 10.1093/molbev/msae147] [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: 11/21/2023] [Revised: 07/05/2024] [Accepted: 07/11/2024] [Indexed: 07/17/2024] Open
Abstract
Immunoglobulins (Igs) have a crucial role in humoral immunity. Two recent studies have reported a high-frequency Neanderthal-introgressed haplotype throughout Eurasia and a high-frequency Neanderthal-introgressed haplotype specific to southern East Asia at the immunoglobulin heavy-chain (IGH) gene locus on chromosome 14q32.33. Surprisingly, we found the previously reported high-frequency Neanderthal-introgressed haplotype does not exist throughout Eurasia. Instead, our study identified two distinct high-frequency haplotypes of putative Neanderthal origin in East Asia and Europe, although they shared introgressed alleles. Notably, the alleles of putative Neanderthal origin reduced the expression of IGHG1 and increased the expression of IGHG2 and IGHG3 in various tissues. These putatively introgressed alleles also affected the production of IgG1 upon antigen stimulation and increased the risk of systemic lupus erythematosus. Additionally, the greatest genetic differentiation across the whole genome between southern and northern East Asians was observed for the East Asian haplotype of putative Neanderthal origin. The frequency decreased from southern to northern East Asia and correlated positively with the genome-wide proportion of southern East Asian ancestry, indicating that this putative positive selection likely occurred in the common ancestor of southern East Asian populations before the admixture with northern East Asian populations.
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Affiliation(s)
- Xixian Ma
- Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai 200031, China
- Institute of Systems and Physical Biology, Shenzhen Bay Laboratory, Shenzhen 518055, China
| | - Yan Lu
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, Zhangjiang Fudan International Innovation Center, Center for Evolutionary Biology, School of Life Sciences, Department of Liver Surgery and Transplantation Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai, China
- Ministry of Education Key Laboratory of Contemporary Anthropology, Fudan University, Shanghai China
| | - Shuhua Xu
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, Zhangjiang Fudan International Innovation Center, Center for Evolutionary Biology, School of Life Sciences, Department of Liver Surgery and Transplantation Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai, China
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2
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Yermakovich D, André M, Brucato N, Kariwiga J, Leavesley M, Pankratov V, Mondal M, Ricaut FX, Dannemann M. Denisovan admixture facilitated environmental adaptation in Papua New Guinean populations. Proc Natl Acad Sci U S A 2024; 121:e2405889121. [PMID: 38889149 PMCID: PMC11214076 DOI: 10.1073/pnas.2405889121] [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: 03/21/2024] [Accepted: 05/16/2024] [Indexed: 06/20/2024] Open
Abstract
Neandertals and Denisovans, having inhabited distinct regions in Eurasia and possibly Oceania for over 200,000 y, experienced ample time to adapt to diverse environmental challenges these regions presented. Among present-day human populations, Papua New Guineans (PNG) stand out as one of the few carrying substantial amounts of both Neandertal and Denisovan DNA, a result of past admixture events with these archaic human groups. This study investigates the distribution of introgressed Denisovan and Neandertal DNA within two distinct PNG populations, residing in the highlands of Mt Wilhelm and the lowlands of Daru Island. These locations exhibit unique environmental features, some of which may parallel the challenges that archaic humans once confronted and adapted to. Our results show that PNG highlanders carry higher levels of Denisovan DNA compared to PNG lowlanders. Among the Denisovan-like haplotypes with higher frequencies in highlander populations, those exhibiting the greatest frequency difference compared to lowlander populations also demonstrate more pronounced differences in population frequencies than frequency-matched nonarchaic variants. Two of the five most highly differentiated of those haplotypes reside in genomic areas linked to brain development genes. Conversely, Denisovan-like haplotypes more frequent in lowlanders overlap with genes associated with immune response processes. Our findings suggest that Denisovan DNA has provided genetic variation associated with brain biology and immune response to PNG genomes, some of which might have facilitated adaptive processes to environmental challenges.
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Affiliation(s)
- Danat Yermakovich
- Center of Genomics, Evolution and Medicine, Institute of Genomics, University of Tartu, Tartu51010, Estonia
| | - Mathilde André
- Center of Genomics, Evolution and Medicine, Institute of Genomics, University of Tartu, Tartu51010, Estonia
| | - Nicolas Brucato
- Centre de Recherche sur la Biodiversité et l'Environnement, Université de Toulouse, Centre National de la Recherche Scientifique, Institut de Recherche pour le Développement, Toulouse Institut National Polytechnique, Université Toulouse 3–Paul Sabatier, cedex 9, Toulouse31062, France
| | - Jason Kariwiga
- Strand of Anthropology, Sociology and Archaeology, School of Humanities and Social Sciences, University of Papua New Guinea, PO Box 320, University 134, National Capital District, Papua New Guinea
- School of Social Science, University of Queensland, St. Lucia, QLD4072, Australia
| | - Matthew Leavesley
- Strand of Anthropology, Sociology and Archaeology, School of Humanities and Social Sciences, University of Papua New Guinea, PO Box 320, University 134, National Capital District, Papua New Guinea
- The Australian Research Council Centre of Excellence for Australian Biodiversity and Heritage & College of Arts, Society and Education, James Cook University, Cairns, QLD4870, Australia
| | - Vasili Pankratov
- Center of Genomics, Evolution and Medicine, Institute of Genomics, University of Tartu, Tartu51010, Estonia
| | - Mayukh Mondal
- Center of Genomics, Evolution and Medicine, Institute of Genomics, University of Tartu, Tartu51010, Estonia
- Institute of Clinical Molecular Biology, Christian-Albrechts-Universität zu Kiel, Kiel24118, Germany
| | - François-Xavier Ricaut
- Centre de Recherche sur la Biodiversité et l'Environnement, Université de Toulouse, Centre National de la Recherche Scientifique, Institut de Recherche pour le Développement, Toulouse Institut National Polytechnique, Université Toulouse 3–Paul Sabatier, cedex 9, Toulouse31062, France
| | - Michael Dannemann
- Center of Genomics, Evolution and Medicine, Institute of Genomics, University of Tartu, Tartu51010, Estonia
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3
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Iasi LNM, Chintalapati M, Skov L, Mesa AB, Hajdinjak M, Peter BM, Moorjani P. Neandertal ancestry through time: Insights from genomes of ancient and present-day humans. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.05.13.593955. [PMID: 38798350 PMCID: PMC11118355 DOI: 10.1101/2024.05.13.593955] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/29/2024]
Abstract
Gene flow from Neandertals has shaped the landscape of genetic and phenotypic variation in modern humans. We identify the location and size of introgressed Neandertal ancestry segments in more than 300 genomes spanning the last 50,000 years. We study how Neandertal ancestry is shared among individuals to infer the time and duration of the Neandertal gene flow. We find the correlation of Neandertal segment locations across individuals and their divergence to sequenced Neandertals, both support a model of single major Neandertal gene flow. Our catalog of introgressed segments through time confirms that most natural selection-positive and negative-on Neandertal ancestry variants occurred immediately after the gene flow, and provides new insights into how the contact with Neandertals shaped human origins and adaptation.
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Affiliation(s)
- Leonardo N. M. Iasi
- Department for Evolutionary Genetics, Max-Planck-Institute for Evolutionary Anthropology; Leipzig, 04301, Germany
| | - Manjusha Chintalapati
- Department of Molecular and Cell Biology, University of California Berkeley; Berkeley, CA 94720, USA
| | - Laurits Skov
- Department of Molecular and Cell Biology, University of California Berkeley; Berkeley, CA 94720, USA
| | - Alba Bossoms Mesa
- Department for Evolutionary Genetics, Max-Planck-Institute for Evolutionary Anthropology; Leipzig, 04301, Germany
| | - Mateja Hajdinjak
- Department for Evolutionary Genetics, Max-Planck-Institute for Evolutionary Anthropology; Leipzig, 04301, Germany
- The Francis Crick Institute; London, NW1 1AT, UK
| | - Benjamin M. Peter
- Department for Evolutionary Genetics, Max-Planck-Institute for Evolutionary Anthropology; Leipzig, 04301, Germany
- Department of Biology, University of Rochester; Rochester NY, 14620,USA
| | - Priya Moorjani
- Department of Molecular and Cell Biology, University of California Berkeley; Berkeley, CA 94720, USA
- Center for Computational Biology, University of California Berkeley; Berkeley, CA 94720, USA
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Voinescu CD, Mozere M, Genovese G, Downie ML, Gupta S, Gale DP, Bockenhauer D, Kleta R, Arcos-Burgos M, Stanescu HC. A Neanderthal haplotype introgressed into the human genome confers protection against membranous nephropathy. Kidney Int 2024; 105:791-798. [PMID: 38367960 DOI: 10.1016/j.kint.2024.01.017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2023] [Revised: 12/27/2023] [Accepted: 01/08/2024] [Indexed: 02/19/2024]
Abstract
Class 2 HLA and PLA2R1 alleles are exceptionally strong genetic risk factors for membranous nephropathy (MN), leading, through an unknown mechanism, to a targeted autoimmune response. Introgressed archaic haplotypes (introduced from an archaic human genome into the modern human genome) might influence phenotypes through gene dysregulation. Here, we investigated the genomic region surrounding the PLA2R1 gene. We reconstructed the phylogeny of Neanderthal and modern haplotypes in this region and calculated the probability of the observed clustering being the result of introgression or common descent. We imputed variants for the participants in our previous genome-wide association study and we compared the distribution of Neanderthal variants between MN cases and controls. The region associated with the lead MN risk locus in the PLA2R1 gene was confirmed and showed that, within a 507 kb region enriched in introgressed sequence, a stringently defined 105 kb haplotype, intersecting the coding regions for PLA2R1 and ITGB6, is inherited from Neanderthals. Thus, introgressed Neanderthal haplotypes overlapping PLA2R1 are differentially represented in MN cases and controls, with enrichment In controls suggesting a protective effect.
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Affiliation(s)
- Cătălin D Voinescu
- Centre for Genetics and Genomics, Department of Renal Medicine, UCL Division of Medicine, University College London, London, UK
| | - Monika Mozere
- Department of Human and Medical Genetics, Faculty of Medicine, Vilnius University, Vilnius, Lithuania
| | - Giulio Genovese
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA; Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA; Department of Genetics, Harvard Medical School, Boston, Massachusetts, USA
| | - Mallory L Downie
- Centre for Genetics and Genomics, Department of Renal Medicine, UCL Division of Medicine, University College London, London, UK
| | - Sanjana Gupta
- Centre for Genetics and Genomics, Department of Renal Medicine, UCL Division of Medicine, University College London, London, UK
| | - Daniel P Gale
- Centre for Genetics and Genomics, Department of Renal Medicine, UCL Division of Medicine, University College London, London, UK
| | - Detlef Bockenhauer
- Centre for Genetics and Genomics, Department of Renal Medicine, UCL Division of Medicine, University College London, London, UK
| | - Robert Kleta
- Centre for Genetics and Genomics, Department of Renal Medicine, UCL Division of Medicine, University College London, London, UK
| | - Mauricio Arcos-Burgos
- Grupo de Investigación en Psiquiatría, Departamento de Psiquiatría, Instituto de Investigaciones Médicas, Facultad de Medicina, Universidad de Antioquia, Medellín, Colombia
| | - Horia C Stanescu
- Centre for Genetics and Genomics, Department of Renal Medicine, UCL Division of Medicine, University College London, London, UK.
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Chen Y, Yu XY, Xu SJ, Shi XQ, Zhang XX, Sun C. An indel introduced by Neanderthal introgression, rs3835124:ATTTATT > ATT, might contribute to prostate cancer risk by regulating PDK1 expression. Ann Hum Genet 2024; 88:126-137. [PMID: 37846608 DOI: 10.1111/ahg.12533] [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: 02/28/2023] [Revised: 07/25/2023] [Accepted: 08/04/2023] [Indexed: 10/18/2023]
Abstract
INTRODUCTION Prostate cancer is one of the most common cancer types in males and rs12621278:A > G has been suggested to be associated with this disease by previous genome-wide association studies. One thousand genomes project data analysis indicated that rs12621278:A > G is within two long-core haplotypes. However, the origin, causal variant(s), and molecular function of these haplotypes were remaining unclear. MATERIALS AND METHODS Population genetics analysis and functional genomics work was performed for this locus. RESULTS Phylogeny analysis verified that the rare haplotype is derived from Neanderthal introgression. Genome annotation suggested that three genetic variants in the core haplotypes, rs116108611:G > A, rs139972066:AAAAAAAA > AAAAAAAAA, and rs3835124:ATTTATT > ATT, are located in functional regions. Luciferase assay indicated that rs139972066:AAAAAAAA > AAAAAAAAA and rs116108611:G > A are not able to alter ITGA6 (integrin alpha 6) and ITGA6 antisense RNA 1 expression, respectively. In contrast, rs3835124:ATTTATT > ATT can significantly influence PDK1 (pyruvate dehydrogenase kinase 1) expression, which was verified by expression quantitative trait locus analysis. This genetic variant can alter transcription factor cut like homeobox 1 interaction efficiency. The introgressed haplotype was observed to be subject to positive selection in East Asian populations. The molecular function of the haplotype suggested that Neanderthal should be with lower PDK1 expression and further different energy homeostasis from modern human. CONCLUSION This study provided new insight into the contribution of Neanderthal introgression to human phenotypes.
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Affiliation(s)
- Ying Chen
- College of Life Sciences, Shaanxi Normal University, Xi'an, Shaanxi, P. R. China
| | - Xin-Yi Yu
- College of Life Sciences, Shaanxi Normal University, Xi'an, Shaanxi, P. R. China
| | - Shuang-Jia Xu
- College of Life Sciences, Shaanxi Normal University, Xi'an, Shaanxi, P. R. China
| | - Xiao-Qian Shi
- College of Life Sciences, Shaanxi Normal University, Xi'an, Shaanxi, P. R. China
| | - Xin-Xin Zhang
- College of Life Sciences, Shaanxi Normal University, Xi'an, Shaanxi, P. R. China
| | - Chang Sun
- College of Life Sciences, Shaanxi Normal University, Xi'an, Shaanxi, P. R. China
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Park N, Kim H, Oh J, Kim J, Heo C, Kim J. PAPipe: A Pipeline for Comprehensive Population Genetic Analysis. Mol Biol Evol 2024; 41:msae040. [PMID: 38427787 PMCID: PMC10919927 DOI: 10.1093/molbev/msae040] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2023] [Revised: 02/07/2024] [Accepted: 02/16/2024] [Indexed: 03/03/2024] Open
Abstract
Advancements in next-generation sequencing (NGS) technologies have led to a substantial increase in the availability of population genetic variant data, thus prompting the development of various population analysis tools to enhance our understanding of population structure and evolution. The tools that are currently used to analyze population genetic variant data generally require different environments, parameters, and formats of the input data, which can act as a barrier preventing the wide-spread usage of such tools by general researchers who may not be familiar with bioinformatics. To address this problem, we have developed an automated and comprehensive pipeline called PAPipe to perform nine widely used population genetic analyses using population NGS data. PAPipe seamlessly interconnects and serializes multiple steps, such as read trimming and mapping, genetic variant calling, data filtering, and format converting, along with nine population genetic analyses such as principal component analysis, phylogenetic analysis, population tree analysis, population structure analysis, linkage disequilibrium decay analysis, selective sweep analysis, population admixture analysis, sequentially Markovian coalescent analysis, and fixation index analysis. PAPipe also provides an easy-to-use web interface that allows for the parameters to be set and the analysis results to be browsed in intuitive manner. PAPipe can be used to generate extensive results that provide insights that can help enhance user convenience and data usability. PAPipe is freely available at https://github.com/jkimlab/PAPipe.
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Affiliation(s)
- Nayoung Park
- Department of Biomedical Science and Engineering, Konkuk University, Seoul 05029, Republic of Korea
| | - Hyeonji Kim
- Department of Biomedical Science and Engineering, Konkuk University, Seoul 05029, Republic of Korea
| | - Jeongmin Oh
- Department of Biomedical Science and Engineering, Konkuk University, Seoul 05029, Republic of Korea
| | - Jinseok Kim
- Department of Biomedical Science and Engineering, Konkuk University, Seoul 05029, Republic of Korea
| | - Charyeong Heo
- Department of Biomedical Science and Engineering, Konkuk University, Seoul 05029, Republic of Korea
| | - Jaebum Kim
- Department of Biomedical Science and Engineering, Konkuk University, Seoul 05029, Republic of Korea
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7
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Zeberg H, Jakobsson M, Pääbo S. The genetic changes that shaped Neandertals, Denisovans, and modern humans. Cell 2024; 187:1047-1058. [PMID: 38367615 DOI: 10.1016/j.cell.2023.12.029] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2023] [Revised: 11/20/2023] [Accepted: 12/20/2023] [Indexed: 02/19/2024]
Abstract
Modern human ancestors diverged from the ancestors of Neandertals and Denisovans about 600,000 years ago. Until about 40,000 years ago, these three groups existed in parallel, occasionally met, and exchanged genes. A critical question is why modern humans, and not the other two groups, survived, became numerous, and developed complex cultures. Here, we discuss genetic differences among the groups and some of their functional consequences. As more present-day genome sequences become available from diverse groups, we predict that very few, if any, differences will distinguish all modern humans from all Neandertals and Denisovans. We propose that the genetic basis of what constitutes a modern human is best thought of as a combination of genetic features, where perhaps none of them is present in each and every present-day individual.
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Affiliation(s)
- Hugo Zeberg
- Max Planck Institute for Evolutionary Anthropology, Deutscher Platz 6, 04103 Leipzig, Germany; Department of Physiology and Pharmacology, Karolinska Institutet, 17165 Stockholm, Sweden.
| | - Mattias Jakobsson
- Department of Organismal Biology, Uppsala University, 75236 Uppsala, Sweden
| | - Svante Pääbo
- Max Planck Institute for Evolutionary Anthropology, Deutscher Platz 6, 04103 Leipzig, Germany; Okinawa Institute of Science and Technology, Onnason 904-0495, Okinawa, Japan.
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Fukuda K. The role of transposable elements in human evolution and methods for their functional analysis: current status and future perspectives. Genes Genet Syst 2024; 98:289-304. [PMID: 37866889 DOI: 10.1266/ggs.23-00140] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2023] Open
Abstract
Transposable elements (TEs) are mobile DNA sequences that can insert themselves into various locations within the genome, causing mutations that may provide advantages or disadvantages to individuals and species. The insertion of TEs can result in genetic variation that may affect a wide range of human traits including genetic disorders. Understanding the role of TEs in human biology is crucial for both evolutionary and medical research. This review discusses the involvement of TEs in human traits and disease susceptibility, as well as methods for functional analysis of TEs.
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Affiliation(s)
- Kei Fukuda
- Integrative Genomics Unit, The University of Melbourne
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9
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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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10
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Hui R, Scheib CL, D’Atanasio E, Inskip SA, Cessford C, Biagini SA, Wohns AW, Ali MQ, Griffith SJ, Solnik A, Niinemäe H, Ge XJ, Rose AK, Beneker O, O’Connell TC, Robb JE, Kivisild T. Genetic history of Cambridgeshire before and after the Black Death. SCIENCE ADVANCES 2024; 10:eadi5903. [PMID: 38232165 PMCID: PMC10793959 DOI: 10.1126/sciadv.adi5903] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/05/2023] [Accepted: 12/14/2023] [Indexed: 01/19/2024]
Abstract
The extent of the devastation of the Black Death pandemic (1346-1353) on European populations is known from documentary sources and its bacterial source illuminated by studies of ancient pathogen DNA. What has remained less understood is the effect of the pandemic on human mobility and genetic diversity at the local scale. Here, we report 275 ancient genomes, including 109 with coverage >0.1×, from later medieval and postmedieval Cambridgeshire of individuals buried before and after the Black Death. Consistent with the function of the institutions, we found a lack of close relatives among the friars and the inmates of the hospital in contrast to their abundance in general urban and rural parish communities. While we detect long-term shifts in local genetic ancestry in Cambridgeshire, we find no evidence of major changes in genetic ancestry nor higher differentiation of immune loci between cohorts living before and after the Black Death.
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Affiliation(s)
- Ruoyun Hui
- Alan Turing Institute, London, UK
- McDonald Institute for Archaeological Research, University of Cambridge, Cambridge, UK
| | - Christiana L. Scheib
- McDonald Institute for Archaeological Research, University of Cambridge, Cambridge, UK
- Estonian Biocentre, Institute of Genomics, University of Tartu, Tartu, Estonia
- St John’s College, University of Cambridge, Cambridge, UK
| | | | - Sarah A. Inskip
- McDonald Institute for Archaeological Research, University of Cambridge, Cambridge, UK
- School of Archaeology and Ancient History, University of Leicester, Leicester, UK
| | - Craig Cessford
- McDonald Institute for Archaeological Research, University of Cambridge, Cambridge, UK
- Cambridge Archaeological Unit, Department of Archaeology, University of Cambridge, Cambridge, UK
| | | | - Anthony W. Wohns
- School of Medicine, Stanford University, Stanford, CA, USA
- Department of Genetics and Biology, Stanford University, Stanford, CA, USA
| | | | - Samuel J. Griffith
- Estonian Biocentre, Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Anu Solnik
- Core Facility, Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Helja Niinemäe
- Estonian Biocentre, Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Xiangyu Jack Ge
- Wellcome Genome Campus, Wellcome Sanger Institute, Hinxton, UK
| | - Alice K. Rose
- McDonald Institute for Archaeological Research, University of Cambridge, Cambridge, UK
- Department of Archaeology, University of Durham, Durham, UK
| | - Owyn Beneker
- Department of Human Genetics, KU Leuven, Leuven, Belgium
| | - Tamsin C. O’Connell
- McDonald Institute for Archaeological Research, University of Cambridge, Cambridge, UK
| | - John E. Robb
- Department of Archaeology, University of Cambridge, Cambridge, UK
| | - Toomas Kivisild
- McDonald Institute for Archaeological Research, University of Cambridge, Cambridge, UK
- Estonian Biocentre, Institute of Genomics, University of Tartu, Tartu, Estonia
- Department of Human Genetics, KU Leuven, Leuven, Belgium
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11
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Rodrigues CR, Balachandran Y, Aulakh GK, Singh B. TLR10: An Intriguing Toll-Like Receptor with Many Unanswered Questions. J Innate Immun 2024; 16:96-104. [PMID: 38246135 PMCID: PMC10861218 DOI: 10.1159/000535523] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2023] [Accepted: 11/23/2023] [Indexed: 01/23/2024] Open
Abstract
BACKGROUND Toll-like receptors (TLRs) are one of the first pattern recognition receptors found in the innate immune system. The TLR family has 12 members (TLR1-TLR9, TLR11-TLR13) in mice and 10 members (TLR1-TLR10) in humans, with TLR10 being the latest identified. SUMMARY Considerable research has been performed on TLRs; however, TLR10 is known as an orphan receptor for the lack of information on its signalling, role, and ligands. Even though there are recent studies pointing towards the potential TLR10 ligands, their function and signalling pathway are yet to be determined. KEY MESSAGES This review gives an insight into recent findings on TLR10's pro- and anti-inflammatory properties, with the goal of outlining existing results and indicating future research topics on this receptor.
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Affiliation(s)
- Carolina Rego Rodrigues
- Veterinary Biomedical Sciences, Western College of Veterinary Medicine, University of Saskatchewan, Saskatoon, Saskatchewan, Canada,
| | - Yadu Balachandran
- Veterinary Biomedical Sciences, Western College of Veterinary Medicine, University of Saskatchewan, Saskatoon, Saskatchewan, Canada
| | - Gurpreet Kaur Aulakh
- Small Animal Clinical Sciences, Western College of Veterinary Medicine, University of Saskatchewan, Saskatoon, Saskatchewan, Canada
| | - Baljit Singh
- Veterinary Biomedical Sciences, Western College of Veterinary Medicine, University of Saskatchewan, Saskatoon, Saskatchewan, Canada
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12
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Wroblewski TH, Witt KE, Lee SB, Malhi RS, Peede D, Huerta-Sánchez E, Villanea FA, Claw KG. Pharmacogenetic Variation in Neanderthals and Denisovans and Implications for Human Health and Response to Medications. Genome Biol Evol 2023; 15:evad222. [PMID: 38051947 PMCID: PMC10727477 DOI: 10.1093/gbe/evad222] [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: 04/03/2023] [Revised: 11/08/2023] [Accepted: 11/16/2023] [Indexed: 12/07/2023] Open
Abstract
Modern humans carry both Neanderthal and Denisovan (archaic) genome elements that are part of the human gene pool and affect the life and health of living individuals. The impact of archaic DNA may be particularly evident in pharmacogenes-genes responsible for the processing of exogenous substances such as food, pollutants, and medications-as these can relate to changing environmental effects, and beneficial variants may have been retained as modern humans encountered new environments. However, the health implications and contribution of archaic ancestry in pharmacogenes of modern humans remain understudied. Here, we explore 11 key cytochrome P450 genes (CYP450) involved in 75% of all drug metabolizing reactions in three Neanderthal and one Denisovan individuals and examine archaic introgression in modern human populations. We infer the metabolizing efficiency of these 11 CYP450 genes in archaic individuals and find important predicted phenotypic differences relative to modern human variants. We identify several single nucleotide variants shared between archaic and modern humans in each gene, including some potentially function-altering mutations in archaic CYP450 genes, which may result in altered metabolism in living people carrying these variants. We also identified several variants in the archaic CYP450 genes that are novel and unique to archaic humans as well as one gene, CYP2B6, that shows evidence for a gene duplication found only in Neanderthals and modern Africans. Finally, we highlight CYP2A6, CYP2C9, and CYP2J2, genes which show evidence for archaic introgression into modern humans and posit evolutionary hypotheses that explain their allele frequencies in modern populations.
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Affiliation(s)
- Tadeusz H Wroblewski
- Department of Biomedical Informatics, Colorado Center for Personalized Medicine, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA
| | - Kelsey E Witt
- Center for Human Genetics and Department of Genetics and Biochemistry, Clemson University, South Carolina, USA
| | - Seung-been Lee
- Precision Medicine Institute, Macrogen Inc., Seoul, Republic of Korea
| | - Ripan S Malhi
- Department of Anthropology and Carl R. Woese Institute for Genomic Biology, University of Illinois Urbana-Champaign, Illinois, USA
| | - David Peede
- Department of Ecology, Evolution, and Organismal Biology and Center for Computational and Molecular Biology, Brown University, Providence, Rhode Island, USA
- Institute at Brown for Environment and Society, Brown University, Providence, Rhode Island, USA
| | - Emilia Huerta-Sánchez
- Department of Ecology, Evolution, and Organismal Biology and Center for Computational and Molecular Biology, Brown University, Providence, Rhode Island, USA
| | | | - Katrina G Claw
- Department of Biomedical Informatics, Colorado Center for Personalized Medicine, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA
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13
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Faux P, Ding L, Ramirez-Aristeguieta LM, Chacón-Duque JC, Comini M, Mendoza-Revilla J, Fuentes-Guajardo M, Jaramillo C, Arias W, Hurtado M, Villegas V, Granja V, Barquera R, Everardo-Martínez P, Quinto-Sánchez M, Gómez-Valdés J, Villamil-Ramírez H, Silva de Cerqueira CC, Hünemeier T, Ramallo V, Gonzalez-José R, Schüler-Faccini L, Bortolini MC, Acuña-Alonzo V, Canizales-Quinteros S, Poletti G, Gallo C, Rothhammer F, Rojas W, Schmid AB, Adhikari K, Bennett DL, Ruiz-Linares A. Neanderthal introgression in SCN9A impacts mechanical pain sensitivity. Commun Biol 2023; 6:958. [PMID: 37816865 PMCID: PMC10564861 DOI: 10.1038/s42003-023-05286-z] [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: 02/24/2023] [Accepted: 08/25/2023] [Indexed: 10/12/2023] Open
Abstract
The Nav1.7 voltage-gated sodium channel plays a key role in nociception. Three functional variants in the SCN9A gene (encoding M932L, V991L, and D1908G in Nav1.7), have recently been identified as stemming from Neanderthal introgression and to associate with pain symptomatology in UK BioBank data. In 1000 genomes data, these variants are absent in Europeans but common in Latin Americans. Analysing high-density genotype data from 7594 Latin Americans, we characterized Neanderthal introgression in SCN9A. We find that tracts of introgression occur on a Native American genomic background, have an average length of ~123 kb and overlap the M932L, V991L, and D1908G coding positions. Furthermore, we measured experimentally six pain thresholds in 1623 healthy Colombians. We found that Neanderthal ancestry in SCN9A is significantly associated with a lower mechanical pain threshold after sensitization with mustard oil and evidence of additivity of effects across Nav1.7 variants. Our findings support the reported association of Neanderthal Nav1.7 variants with clinical pain, define a specific sensory modality affected by archaic introgression in SCN9A and are consistent with independent effects of the Neanderthal variants on Nav1.7 function.
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Affiliation(s)
- Pierre Faux
- Ministry of Education Key Laboratory of Contemporary Anthropology and Collaborative Innovation Center of Genetics and Development, School of Life Sciences and Human Phenome Institute, Fudan University, Yangpu District, 200438, Shanghai, China
- UMR ADES, Aix-Marseille Université, CNRS, EFS, 13005, Marseille, France
- UMR GenPhySE, INRAE, INP, ENVT, Université de Toulouse, 31326, Castanet-Tolosan, France
| | - Li Ding
- Ministry of Education Key Laboratory of Contemporary Anthropology and Collaborative Innovation Center of Genetics and Development, School of Life Sciences and Human Phenome Institute, Fudan University, Yangpu District, 200438, Shanghai, China
| | | | - J Camilo Chacón-Duque
- Centre for Palaeogenetics, Svante Arrhenius väg 20C, SE-10691, Stockholm, Sweden
- Department of Archaeology and Classical Studies, Stockholm University, SE-1069, Stockholm, Sweden
- Department of Genetics, Evolution and Environment, University College London, London, WC1E 6BT, UK
| | - Maddalena Comini
- Nuffield Department of Clinical Neurosciences, Oxford University, Oxford, OX3 9DU, UK
| | - Javier Mendoza-Revilla
- Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, 31, Lima, Perú
- Unit of Human Evolutionary Genetics, Institut Pasteur, 75015, Paris, France
| | - Macarena Fuentes-Guajardo
- Departamento de Tecnología Médica, Facultad de Ciencias de la Salud, Universidad de Tarapacá, 1000000, Arica, Chile
| | - Claudia Jaramillo
- GENMOL (Genética Molecular), Universidad de Antioquia, 5001000, Medellín, Colombia
| | - William Arias
- GENMOL (Genética Molecular), Universidad de Antioquia, 5001000, Medellín, Colombia
| | - Malena Hurtado
- Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, 31, Lima, Perú
| | - Valeria Villegas
- Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, 31, Lima, Perú
| | - Vanessa Granja
- Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, 31, Lima, Perú
| | - Rodrigo Barquera
- Molecular Genetics Laboratory, National School of Anthropology and History, Mexico City, 14050, 6600, Mexico, Mexico
- Department of Archaeogenetics, Max Planck Institute for the Science of Human History (MPI-SHH), 07745, Jena, Germany
| | - Paola Everardo-Martínez
- Molecular Genetics Laboratory, National School of Anthropology and History, Mexico City, 14050, 6600, Mexico, Mexico
| | - Mirsha Quinto-Sánchez
- Forensic Science, Faculty of Medicine, UNAM (Universidad Nacional Autónoma de México), 06320, Mexico City, Mexico
| | - Jorge Gómez-Valdés
- Molecular Genetics Laboratory, National School of Anthropology and History, Mexico City, 14050, 6600, Mexico, Mexico
| | - Hugo Villamil-Ramírez
- Unidad de Genomica de Poblaciones Aplicada a la Salud, Facultad de Química, UNAM-Instituto Nacional de Medicina Genómica, 4510, Mexico City, Mexico
| | | | - Tábita Hünemeier
- Departamento de Genética e Biologia Evolutiva, Instituto de Biociências, Universidade de São Paulo, 05508-090, São Paulo, SP, Brazil
| | - Virginia Ramallo
- Departamento de Genética, Universidade Federal do Rio Grande do Sul, 90040-060, Porto Alegre, Brasil
- Instituto Patagónico de Ciencias Sociales y Humanas, Centro Nacional Patagónico, CONICET, U9129ACD, Puerto Madryn, Argentina
| | - Rolando Gonzalez-José
- Instituto Patagónico de Ciencias Sociales y Humanas, Centro Nacional Patagónico, CONICET, U9129ACD, Puerto Madryn, Argentina
| | - Lavinia Schüler-Faccini
- Departamento de Genética, Universidade Federal do Rio Grande do Sul, 90040-060, Porto Alegre, Brasil
| | - Maria-Cátira Bortolini
- Departamento de Genética, Universidade Federal do Rio Grande do Sul, 90040-060, Porto Alegre, Brasil
| | - Victor Acuña-Alonzo
- Molecular Genetics Laboratory, National School of Anthropology and History, Mexico City, 14050, 6600, Mexico, Mexico
| | - Samuel Canizales-Quinteros
- Unidad de Genomica de Poblaciones Aplicada a la Salud, Facultad de Química, UNAM-Instituto Nacional de Medicina Genómica, 4510, Mexico City, Mexico
| | - Giovanni Poletti
- Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, 31, Lima, Perú
| | - Carla Gallo
- Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, 31, Lima, Perú
| | - Francisco Rothhammer
- Instituto de Alta Investigación, Universidad de Tarapacá, Arica, 1000000, Arica, Chile
| | - Winston Rojas
- GENMOL (Genética Molecular), Universidad de Antioquia, 5001000, Medellín, Colombia
| | - Annina B Schmid
- Nuffield Department of Clinical Neurosciences, Oxford University, Oxford, OX3 9DU, UK
| | - Kaustubh Adhikari
- Department of Genetics, Evolution and Environment, University College London, London, WC1E 6BT, UK.
- School of Mathematics and Statistics, Faculty of Science, Technology, Engineering and Mathematics, The Open University, Milton Keynes, MK7 6AA, UK.
- Department of Cell and Developmental Biology, University College London, London, WC1E 6BT, UK.
| | - David L Bennett
- Nuffield Department of Clinical Neurosciences, Oxford University, Oxford, OX3 9DU, UK.
| | - Andrés Ruiz-Linares
- Ministry of Education Key Laboratory of Contemporary Anthropology and Collaborative Innovation Center of Genetics and Development, School of Life Sciences and Human Phenome Institute, Fudan University, Yangpu District, 200438, Shanghai, China.
- UMR ADES, Aix-Marseille Université, CNRS, EFS, 13005, Marseille, France.
- Department of Genetics, Evolution and Environment, University College London, London, WC1E 6BT, UK.
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14
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Pollen AA, Kilik U, Lowe CB, Camp JG. Human-specific genetics: new tools to explore the molecular and cellular basis of human evolution. Nat Rev Genet 2023; 24:687-711. [PMID: 36737647 PMCID: PMC9897628 DOI: 10.1038/s41576-022-00568-4] [Citation(s) in RCA: 18] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/08/2022] [Indexed: 02/05/2023]
Abstract
Our ancestors acquired morphological, cognitive and metabolic modifications that enabled humans to colonize diverse habitats, develop extraordinary technologies and reshape the biosphere. Understanding the genetic, developmental and molecular bases for these changes will provide insights into how we became human. Connecting human-specific genetic changes to species differences has been challenging owing to an abundance of low-effect size genetic changes, limited descriptions of phenotypic differences across development at the level of cell types and lack of experimental models. Emerging approaches for single-cell sequencing, genetic manipulation and stem cell culture now support descriptive and functional studies in defined cell types with a human or ape genetic background. In this Review, we describe how the sequencing of genomes from modern and archaic hominins, great apes and other primates is revealing human-specific genetic changes and how new molecular and cellular approaches - including cell atlases and organoids - are enabling exploration of the candidate causal factors that underlie human-specific traits.
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Affiliation(s)
- Alex A Pollen
- Eli and Edythe Broad Center of Regeneration Medicine and Stem Cell Research, University of California, San Francisco, San Francisco, CA, USA.
- Department of Neurology, University of California, San Francisco, San Francisco, CA, USA.
| | - Umut Kilik
- Institute of Human Biology (IHB), Roche Pharma Research and Early Development, Roche Innovation Center Basel, Basel, Switzerland
- University of Basel, Basel, Switzerland
| | - Craig B Lowe
- Department of Molecular Genetics and Microbiology, Duke University School of Medicine, Durham, NC, USA.
| | - J Gray Camp
- Institute of Human Biology (IHB), Roche Pharma Research and Early Development, Roche Innovation Center Basel, Basel, Switzerland.
- University of Basel, Basel, Switzerland.
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15
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Roca-Umbert A, Garcia-Calleja J, Vogel-González M, Fierro-Villegas A, Ill-Raga G, Herrera-Fernández V, Bosnjak A, Muntané G, Gutiérrez E, Campelo F, Vicente R, Bosch E. Human genetic adaptation related to cellular zinc homeostasis. PLoS Genet 2023; 19:e1010950. [PMID: 37747921 PMCID: PMC10553801 DOI: 10.1371/journal.pgen.1010950] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2023] [Revised: 10/05/2023] [Accepted: 08/31/2023] [Indexed: 09/27/2023] Open
Abstract
SLC30A9 encodes a ubiquitously zinc transporter (ZnT9) and has been consistently suggested as a candidate for positive selection in humans. However, no direct adaptive molecular phenotype has been demonstrated. Our results provide evidence for directional selection operating in two major complementary haplotypes in Africa and East Asia. These haplotypes are associated with differential gene expression but also differ in the Met50Val substitution (rs1047626) in ZnT9, which we show is found in homozygosis in the Denisovan genome and displays accompanying signatures suggestive of archaic introgression. Although we found no significant differences in systemic zinc content between individuals with different rs1047626 genotypes, we demonstrate that the expression of the derived isoform (ZnT9 50Val) in HEK293 cells shows a gain of function when compared with the ancestral (ZnT9 50Met) variant. Notably, the ZnT9 50Val variant was found associated with differences in zinc handling by the mitochondria and endoplasmic reticulum, with an impact on mitochondrial metabolism. Given the essential role of the mitochondria in skeletal muscle and since the derived allele at rs1047626 is known to be associated with greater susceptibility to several neuropsychiatric traits, we propose that adaptation to cold may have driven this selection event, while also impacting predisposition to neuropsychiatric disorders in modern humans.
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Affiliation(s)
- Ana Roca-Umbert
- Institut de Biologia Evolutiva (UPF-CSIC), Departament de Medicina i Ciències de la Vida, Universitat Pompeu Fabra, Parc de Recerca Biomèdica de Barcelona, Barcelona, Spain
| | - Jorge Garcia-Calleja
- Institut de Biologia Evolutiva (UPF-CSIC), Departament de Medicina i Ciències de la Vida, Universitat Pompeu Fabra, Parc de Recerca Biomèdica de Barcelona, Barcelona, Spain
| | - Marina Vogel-González
- Laboratory of Molecular Physiology, Department of Medicine and Life Sciences (MELIS), Universitat Pompeu Fabra, Barcelona, Spain
| | - Alejandro Fierro-Villegas
- Laboratory of Molecular Physiology, Department of Medicine and Life Sciences (MELIS), Universitat Pompeu Fabra, Barcelona, Spain
| | - Gerard Ill-Raga
- Laboratory of Molecular Physiology, Department of Medicine and Life Sciences (MELIS), Universitat Pompeu Fabra, Barcelona, Spain
| | - Víctor Herrera-Fernández
- Laboratory of Molecular Physiology, Department of Medicine and Life Sciences (MELIS), Universitat Pompeu Fabra, Barcelona, Spain
| | - Anja Bosnjak
- Laboratory of Molecular Physiology, Department of Medicine and Life Sciences (MELIS), Universitat Pompeu Fabra, Barcelona, Spain
| | - Gerard Muntané
- Institut de Biologia Evolutiva (UPF-CSIC), Departament de Medicina i Ciències de la Vida, Universitat Pompeu Fabra, Parc de Recerca Biomèdica de Barcelona, Barcelona, Spain
- Hospital Universitari Institut Pere Mata, IISPV, Universitat Rovira i Virgili, Reus, Spain
- Centro de Investigación Biomédica en Red de Salud Mental, Instituto de Salud Carlos III, Madrid, Spain
| | - Esteban Gutiérrez
- Laboratory of Molecular Physiology, Department of Medicine and Life Sciences (MELIS), Universitat Pompeu Fabra, Barcelona, Spain
| | - Felix Campelo
- ICFO-Institut de Ciencies Fotoniques, The Barcelona Institute of Science and Technology, Barcelona, Spain
| | - Rubén Vicente
- Laboratory of Molecular Physiology, Department of Medicine and Life Sciences (MELIS), Universitat Pompeu Fabra, Barcelona, Spain
| | - Elena Bosch
- Institut de Biologia Evolutiva (UPF-CSIC), Departament de Medicina i Ciències de la Vida, Universitat Pompeu Fabra, Parc de Recerca Biomèdica de Barcelona, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Salud Mental, Instituto de Salud Carlos III, Madrid, Spain
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16
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Gautney JR. A new approach to exploratory data analysis in hominin phylogenetic reconstruction. J Hum Evol 2023; 182:103412. [PMID: 37499423 DOI: 10.1016/j.jhevol.2023.103412] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2022] [Revised: 06/30/2023] [Accepted: 07/01/2023] [Indexed: 07/29/2023]
Abstract
The phylogenetic relationships between fossil hominin taxa have been a contentious topic for decades. Recent discoveries of new taxa, rather than resolving the issue, have only further confused it. Compounding this problem are the limitations of some of the tools frequently used by paleoanthropologists to analyze these relationships. Most commonly, phylogenetic questions are investigated using analytical methods such as maximum parsimony and Bayesian analysis. While these are useful analytical tools, these tree-building methods can have limitations when investigating taxa that may have complex evolutionary histories. Exploratory data analysis can provide information about patterns in a dataset that are obscured by tree-based methods. These patterns include phylogenetic signal conflict, which is not depicted in tree-based methods. Signal conflict can have a number of sources, including methodological issues with character choice, taxonomic issues, homoplasy, and gene flow between taxa. In this study, an exploratory data analysis of fossil hominin morphological data is conducted using the tree-based analytical method neighbor-joining and the network-based analytical method neighbor-net with the goal of visualizing phylogenetic signal conflict within a hominin morphological data set. The data set is divided into cranial regions, and each cranial region is analyzed individually to investigate which regions of the skull contain the highest levels of signal conflict. Results of this analysis show that conflicting phylogenetic signals are present in the hominin fossil record during the relatively speciose period between 3 and 1 Ma, and they also indicate that levels of signal conflict vary by cranial region. Possible sources of these conflicting signals are then explored. Exploratory data analyses such as this can be a useful tool in generating phylogenetic hypotheses and in refining character choice. This study also highlights the value network-based approaches can bring to the hominin phylogenetic analysis toolkit.
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Affiliation(s)
- Joanna R Gautney
- Department of Sociology and Anthropology, Weber State University, 1299 Edvalson St., Ogden, UT, USA.
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17
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Piccardi M, Gentiluomo M, Bertoncini S, Pezzilli R, Erőss B, Bunduc S, Uzunoglu FG, Talar-Wojnarowska R, Vanagas T, Sperti C, Oliverius M, Aoki MN, Ermini S, Hussein T, Boggi U, Jamroziak K, Maiello E, Morelli L, Vodickova L, Di Franco G, Landi S, Szentesi A, Lovecek M, Puzzono M, Tavano F, van Laarhoven HWM, Zerbi A, Mohelnikova-Duchonova B, Stocker H, Costello E, Capurso G, Ginocchi L, Lawlor RT, Vanella G, Bazzocchi F, Izbicki JR, Latiano A, Bueno-de-Mesquita B, Ponz de Leon Pisani R, Schöttker B, Soucek P, Hegyi P, Gazouli M, Hackert T, Kupcinskas J, Poskiene L, Tacelli M, Roth S, Carrara S, Perri F, Hlavac V, Theodoropoulos GE, Busch OR, Mambrini A, van Eijck CHJ, Arcidiacono P, Scarpa A, Pasquali C, Basso D, Lucchesi M, Milanetto AC, Neoptolemos JP, Cavestro GM, Janciauskas D, Chen X, Chammas R, Goetz M, Brenner H, Archibugi L, Dannemann M, Canzian F, Tofanelli S, Campa D. Exploring the Neandertal legacy of pancreatic ductal adenocarcinoma risk in Eurasians. Biol Res 2023; 56:46. [PMID: 37574541 PMCID: PMC10424372 DOI: 10.1186/s40659-023-00457-y] [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: 06/30/2022] [Accepted: 07/20/2023] [Indexed: 08/15/2023] Open
Abstract
BACKGROUND The genomes of present-day non-Africans are composed of 1-3% of Neandertal-derived DNA as a consequence of admixture events between Neandertals and anatomically modern humans about 50-60 thousand years ago. Neandertal-introgressed single nucleotide polymorphisms (aSNPs) have been associated with modern human disease-related traits, which are risk factors for pancreatic ductal adenocarcinoma (PDAC), such as obesity, type 2 diabetes, and inflammation. In this study, we aimed at investigating the role of aSNPs in PDAC in three Eurasian populations. RESULTS The high-coverage Vindija Neandertal genome was used to select aSNPs in non-African populations from 1000 Genomes project phase 3 data. Then, the association between aSNPs and PDAC risk was tested independently in Europeans and East Asians, using existing GWAS data on more than 200 000 individuals. We did not find any significant associations between aSNPs and PDAC in samples of European descent, whereas, in East Asians, we observed that the Chr10p12.1-rs117585753-T allele (MAF = 10%) increased the risk to develop PDAC (OR = 1.35, 95%CI 1.19-1.54, P = 3.59 × 10-6), with a P-value close to a threshold that takes into account multiple testing. CONCLUSIONS Our results show only a minimal contribution of Neandertal SNPs to PDAC risk.
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Affiliation(s)
- Margherita Piccardi
- Department of Biology, Unit of Genetics, University of Pisa, Via Derna 1, 56126, Pisa, Italy
| | - Manuel Gentiluomo
- Department of Biology, Unit of Genetics, University of Pisa, Via Derna 1, 56126, Pisa, Italy
| | - Stefania Bertoncini
- Department of Biology, Unit of Zoology and Anthropology, University of Pisa, Pisa, Italy
| | | | - Bálint Erőss
- Institute for Translational Medicine, Medical School, University of Pécs, Pécs, Hungary
| | - Stefania Bunduc
- Institute for Translational Medicine, Medical School, University of Pécs, Pécs, Hungary
- Center for Translational Medicine, Semmelweis University, Budapest, Hungary
- Division of Pancreatic Diseases, Heart and Vascular Center, Semmelweis University, Budapest, Hungary
- Carol Davila University of Medicine and Pharmacy, Bucharest, Romania
| | - Faik G Uzunoglu
- Department of General, Visceral and Thoracic Surgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | | | - Tomas Vanagas
- Department of Surgery, Lithuanian University of Health Sciences, Kaunas, Lithuania
| | - Cosimo Sperti
- Department DISCOG, Chirurgia Generale 1, University of Padova, Padua, Italy
| | - Martin Oliverius
- Department of Surgery, Third Faculty of Medicine, University Hospital Kralovske Vinohrady, Charles University, Prague, Czech Republic
| | - Mateus Nóbrega Aoki
- Laboratory for Applied Science and Technology in Health, Carlos Chagas Institute, Curitiba, Brazil
| | - Stefano Ermini
- Blood Transfusion Service, Azienda Ospedaliero-Universitaria Meyer, Children's Hospital, Florence, Italy
| | - Tamás Hussein
- Institute for Translational Medicine, Medical School, University of Pécs, Pécs, Hungary
| | - Ugo Boggi
- Division of General and Transplantation Surgery, University of Pisa, Pisa, Italy
| | - Krzysztof Jamroziak
- Department of Hematology, Transplantation and Internal Medicine, University of Warsaw, Warsaw, Poland
| | - Evaristo Maiello
- Department of Oncology, Fondazione IRCCS "Casa Sollievo Della Sofferenza" Hospital, San Giovanni Rotondo, Foggia, Italy
| | - Luca Morelli
- Department of Translational Research and New Technologies in Medicine and Surgery, General Surgery Unit, University of Pisa, Pisa, Italy
| | - Ludmila Vodickova
- Department of Molecular Biology of Cancer, Institute of Experimental Medicine of the Czech Academy of Sciences, Prague, Czech Republic
- Biomedical Center, Faculty of Medicine in Pilsen, Charles University, Pilsen, Czech Republic
- Institute of Biology and Medical Genetics, First Faculty of Medicine, Charles University, Prague, Czech Republic
| | - Gregorio Di Franco
- Department of Translational Research and New Technologies in Medicine and Surgery, General Surgery Unit, University of Pisa, Pisa, Italy
| | - Stefano Landi
- Department of Biology, Unit of Genetics, University of Pisa, Via Derna 1, 56126, Pisa, Italy
| | - Andrea Szentesi
- Institute for Translational Medicine, Medical School, University of Pécs, Pécs, Hungary
- Center for Translational Medicine, Semmelweis University, Budapest, Hungary
- János Szentágothai Research Center, University of Pécs, Pécs, Hungary
| | - Martin Lovecek
- Department of Surgery I, University Hospital Olomouc, Olomouc, Czech Republic
| | - Marta Puzzono
- Gastroenterology and Gastrointestinal Endoscopy Unit, Vita-Salute San Raffaele University, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Francesca Tavano
- Division of Gastroenterology and Research Laboratory, Fondazione IRCCS "Casa Sollievo Della Sofferenza" Hospital, San Giovanni Rotondo, Foggia, Italy
| | - Hanneke W M van Laarhoven
- Department of Medical Oncology, Amsterdam UMC, Cancer Center Amsterdam, University of Amsterdam, Amsterdam, The Netherlands
| | - Alessandro Zerbi
- Pancreatic Unit, IRCCS Humanitas Research Hospital, Milan, Italy
- Department of Biomedical Sciences, Humanitas University, Milan, Italy
| | | | - Hannah Stocker
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Network Aging Research (NAR), Heidelberg University, Heidelberg, Germany
| | - Eithne Costello
- Department of Molecular & Clinical Cancer Medicine, University of Liverpool, Liverpool, UK
| | - Gabriele Capurso
- Digestive and Liver Disease Unit, S Andrea Hospital, Rome, Italy
- Pancreas Translational and Clinical Research Center, Pancreato-Biliary Endoscopy and Endoscopic Ultrasound, San Raffaele Scientific Institute IRCCS, Milan, Italy
| | - Laura Ginocchi
- Oncological Department, Oncology of Massa Carrara, ASL Toscana Nord Ovest, Massa Carrara, Italy
| | - Rita T Lawlor
- ARC-NET Research Centre and Department of Diagnostics and Public Health, Section of Pathology, University of Verona, Verona, Italy
| | - Giuseppe Vanella
- Digestive and Liver Disease Unit, S Andrea Hospital, Rome, Italy
- Pancreas Translational and Clinical Research Center, Pancreato-Biliary Endoscopy and Endoscopic Ultrasound, San Raffaele Scientific Institute IRCCS, Milan, Italy
| | - Francesca Bazzocchi
- Department of Surgery, Fondazione IRCCS "Casa Sollievo Della Sofferenza" Hospital, San Giovanni Rotondo, Foggia, Italy
| | - Jakob R Izbicki
- Department of General, Visceral and Thoracic Surgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Anna Latiano
- Division of Gastroenterology and Research Laboratory, Fondazione IRCCS "Casa Sollievo Della Sofferenza" Hospital, San Giovanni Rotondo, Foggia, Italy
| | - Bas Bueno-de-Mesquita
- Centre for Nutrition, Prevention and Health Services, National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands
| | - Ruggero Ponz de Leon Pisani
- Pancreato-Biliary Endoscopy and Endoscopic Ultrasound, Pancreas Translational and Clinical Research Center, San Raffaele Scientific Institute IRCCS, Milan, Italy
| | - Ben Schöttker
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Network Aging Research (NAR), Heidelberg University, Heidelberg, Germany
| | - Pavel Soucek
- Biomedical Center, Faculty of Medicine in Pilsen, Charles University, Pilsen, Czech Republic
| | - Péter Hegyi
- Institute for Translational Medicine, Medical School, University of Pécs, Pécs, Hungary
- Center for Translational Medicine, Semmelweis University, Budapest, Hungary
- Division of Pancreatic Diseases, Heart and Vascular Center, Semmelweis University, Budapest, Hungary
- János Szentágothai Research Center, University of Pécs, Pécs, Hungary
| | - Maria Gazouli
- Laboratory of Biology, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Thilo Hackert
- Department of General, Visceral, and Transplantation Surgery, University of Heidelberg, Heidelberg, Germany
| | - Juozas Kupcinskas
- Department of Gastroenterology and Institute for Digestive Research, Lithuanian University of Health Sciences, Kaunas, Lithuania
| | - Lina Poskiene
- Department of Pathology, Lithuanian University of Health Sciences, Kaunas, Lithuania
| | - Matteo Tacelli
- Pancreato-Biliary Endoscopy and Endoscopic Ultrasound, Pancreas Translational and Clinical Research Center, San Raffaele Scientific Institute IRCCS, Milan, Italy
| | - Susanne Roth
- Department of General, Visceral, and Transplantation Surgery, University of Heidelberg, Heidelberg, Germany
| | - Silvia Carrara
- Department of Gastroenterology, Endoscopic Unit, IRCCS Humanitas Research Hospital, Milan, Italy
| | - Francesco Perri
- Division of Gastroenterology and Research Laboratory, Fondazione IRCCS "Casa Sollievo Della Sofferenza" Hospital, San Giovanni Rotondo, Foggia, Italy
| | - Viktor Hlavac
- Biomedical Center, Faculty of Medicine in Pilsen, Charles University, Pilsen, Czech Republic
| | - George E Theodoropoulos
- First Department of Propaedeutic Surgery, Hippocration General Hospital, National and Kapodistrian University of Athens, Athens, Greece
| | - Olivier R Busch
- Department of Surgery, Amsterdam UMC, Cancer Center Amsterdam, University of Amsterdam, Amsterdam, the Netherlands
| | - Andrea Mambrini
- Oncological Department, Oncology of Massa Carrara, ASL Toscana Nord Ovest, Massa Carrara, Italy
| | - Casper H J van Eijck
- Department of Surgery, Erasmus MC University Medical Center, Rotterdam, the Netherlands
| | - Paolo Arcidiacono
- Pancreato-Biliary Endoscopy and Endoscopic Ultrasound, Pancreas Translational and Clinical Research Center, San Raffaele Scientific Institute IRCCS, Milan, Italy
| | - Aldo Scarpa
- ARC-NET Research Centre and Department of Diagnostics and Public Health, Section of Pathology, University of Verona, Verona, Italy
| | - Claudio Pasquali
- Department DISCOG, Chirurgia Generale 3, University of Padova, Padua, Italy
| | - Daniela Basso
- Department DIMED, Laboratory Medicine, University of Padova, Padua, Italy
| | - Maurizio Lucchesi
- Oncological Department, Oncology of Massa Carrara, ASL Toscana Nord Ovest, Massa Carrara, Italy
| | | | - John P Neoptolemos
- Department of General, Visceral, and Transplantation Surgery, University of Heidelberg, Heidelberg, Germany
| | - Giulia Martina Cavestro
- Gastroenterology and Gastrointestinal Endoscopy Unit, Vita-Salute San Raffaele University, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Dainius Janciauskas
- Department of Pathology, Lithuanian University of Health Sciences, Kaunas, Lithuania
| | - Xuechen Chen
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Medical Faculty Heidelberg, Heidelberg University, Heidelberg, Germany
| | - Roger Chammas
- Department of Radiology and Oncology, Institute of Cancer of São Paulo (ICESP) São Paulo, Sao Paulo, Brazil
- Faculty of Medicine, University of São Paulo, São Paulo, Brazil
| | - Mara Goetz
- Department of General, Visceral and Thoracic Surgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Hermann Brenner
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Division of Preventive Oncology, German Cancer Research Center (DKFZ) and National Center for Tumor Diseases (NCT), Heidelberg, Germany
- German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Livia Archibugi
- Digestive and Liver Disease Unit, S Andrea Hospital, Rome, Italy
- Pancreas Translational and Clinical Research Center, Pancreato-Biliary Endoscopy and Endoscopic Ultrasound, San Raffaele Scientific Institute IRCCS, Milan, Italy
| | - Michael Dannemann
- Estonian Biocentre, Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Federico Canzian
- Genomic Epidemiology Group, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Sergio Tofanelli
- Department of Biology, Unit of Zoology and Anthropology, University of Pisa, Pisa, Italy
| | - Daniele Campa
- Department of Biology, Unit of Genetics, University of Pisa, Via Derna 1, 56126, Pisa, Italy.
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18
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Brand CM, Colbran LL, Capra JA. Resurrecting the alternative splicing landscape of archaic hominins using machine learning. Nat Ecol Evol 2023; 7:939-953. [PMID: 37142741 DOI: 10.1038/s41559-023-02053-5] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2022] [Accepted: 03/29/2023] [Indexed: 05/06/2023]
Abstract
Alternative splicing contributes to adaptation and divergence in many species. However, it has not been possible to directly compare splicing between modern and archaic hominins. Here, we unmask the recent evolution of this previously unobservable regulatory mechanism by applying SpliceAI, a machine-learning algorithm that identifies splice-altering variants (SAVs), to high-coverage genomes from three Neanderthals and a Denisovan. We discover 5,950 putative archaic SAVs, of which 2,186 are archaic-specific and 3,607 also occur in modern humans via introgression (244) or shared ancestry (3,520). Archaic-specific SAVs are enriched in genes that contribute to traits potentially relevant to hominin phenotypic divergence, such as the epidermis, respiration and spinal rigidity. Compared to shared SAVs, archaic-specific SAVs occur in sites under weaker selection and are more common in genes with tissue-specific expression. Further underscoring the importance of negative selection on SAVs, Neanderthal lineages with low effective population sizes are enriched for SAVs compared to Denisovan and shared SAVs. Finally, we find that nearly all introgressed SAVs in humans were shared across the three Neanderthals, suggesting that older SAVs were more tolerated in human genomes. Our results reveal the splicing landscape of archaic hominins and identify potential contributions of splicing to phenotypic differences among hominins.
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Affiliation(s)
- Colin M Brand
- Bakar Computational Health Sciences Institute, University of California, San Francisco, CA, USA
- Department of Epidemiology and Biostatistics, University of California, San Francisco, CA, USA
| | - Laura L Colbran
- Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - John A Capra
- Bakar Computational Health Sciences Institute, University of California, San Francisco, CA, USA.
- Department of Epidemiology and Biostatistics, University of California, San Francisco, CA, USA.
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19
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Rong S, Neil CR, Welch A, Duan C, Maguire S, Meremikwu IC, Meyerson M, Evans BJ, Fairbrother WG. Large-scale functional screen identifies genetic variants with splicing effects in modern and archaic humans. Proc Natl Acad Sci U S A 2023; 120:e2218308120. [PMID: 37192163 PMCID: PMC10214146 DOI: 10.1073/pnas.2218308120] [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: 11/07/2022] [Accepted: 04/12/2023] [Indexed: 05/18/2023] Open
Abstract
Humans coexisted and interbred with other hominins which later became extinct. These archaic hominins are known to us only through fossil records and for two cases, genome sequences. Here, we engineer Neanderthal and Denisovan sequences into thousands of artificial genes to reconstruct the pre-mRNA processing patterns of these extinct populations. Of the 5,169 alleles tested in this massively parallel splicing reporter assay (MaPSy), we report 962 exonic splicing mutations that correspond to differences in exon recognition between extant and extinct hominins. Using MaPSy splicing variants, predicted splicing variants, and splicing quantitative trait loci, we show that splice-disrupting variants experienced greater purifying selection in anatomically modern humans than that in Neanderthals. Adaptively introgressed variants were enriched for moderate-effect splicing variants, consistent with positive selection for alternative spliced alleles following introgression. As particularly compelling examples, we characterized a unique tissue-specific alternative splicing variant at the adaptively introgressed innate immunity gene TLR1, as well as a unique Neanderthal introgressed alternative splicing variant in the gene HSPG2 that encodes perlecan. We further identified potentially pathogenic splicing variants found only in Neanderthals and Denisovans in genes related to sperm maturation and immunity. Finally, we found splicing variants that may contribute to variation among modern humans in total bilirubin, balding, hemoglobin levels, and lung capacity. Our findings provide unique insights into natural selection acting on splicing in human evolution and demonstrate how functional assays can be used to identify candidate causal variants underlying differences in gene regulation and phenotype.
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Affiliation(s)
- Stephen Rong
- Center for Computational Molecular Biology, Brown University, Providence, RI02912
- Department of Molecular Biology, Cell Biology, and Biochemistry, Brown University, Providence, RI02912
| | - Christopher R. Neil
- Department of Molecular Biology, Cell Biology, and Biochemistry, Brown University, Providence, RI02912
| | - Anastasia Welch
- Department of Molecular Biology, Cell Biology, and Biochemistry, Brown University, Providence, RI02912
| | - Chaorui Duan
- Department of Molecular Biology, Cell Biology, and Biochemistry, Brown University, Providence, RI02912
| | - Samantha Maguire
- Department of Molecular Biology, Cell Biology, and Biochemistry, Brown University, Providence, RI02912
| | - Ijeoma C. Meremikwu
- Department of Molecular Biology, Cell Biology, and Biochemistry, Brown University, Providence, RI02912
| | - Malcolm Meyerson
- Department of Molecular Biology, Cell Biology, and Biochemistry, Brown University, Providence, RI02912
| | - Ben J. Evans
- Department of Biology, McMaster University, Hamilton, ONL8S 4K1, Canada
| | - William G. Fairbrother
- Center for Computational Molecular Biology, Brown University, Providence, RI02912
- Department of Molecular Biology, Cell Biology, and Biochemistry, Brown University, Providence, RI02912
- Hassenfeld Child Health Innovation Institute of Brown University, Providence, RI02912
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20
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Pathogenic Variants Associated with Rare Monogenic Diseases Established in Ancient Neanderthal and Denisovan Genome-Wide Data. Genes (Basel) 2023; 14:genes14030727. [PMID: 36980999 PMCID: PMC10048696 DOI: 10.3390/genes14030727] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2023] [Revised: 03/08/2023] [Accepted: 03/13/2023] [Indexed: 03/18/2023] Open
Abstract
Ancient anatomically modern humans (AMHs) encountered other archaic human species, most notably Neanderthals and Denisovans, when they left Africa and spread across Europe and Asia ~60,000 years ago. They interbred with them, and modern human genomes retain DNA inherited from these interbreeding events. High quality (high coverage) ancient human genomes have recently been sequenced allowing for a direct estimation of individual heterozygosity, which has shown that genetic diversity in these archaic human groups was very low, indicating low population sizes. In this study, we analyze ten ancient human genome-wide data, including four sequenced with high-coverage. We screened these ancient genome-wide data for pathogenic mutations associated with monogenic diseases, and established unusual aggregation of pathogenic mutations in individual subjects, including quadruple homozygous cases of pathogenic variants in the PAH gene associated with the condition phenylketonuria in a ~120,000 years old Neanderthal. Such aggregation of pathogenic mutations is extremely rare in contemporary populations, and their existence in ancient humans could be explained by less significant clinical manifestations coupled with small community sizes, leading to higher inbreeding levels. Our results suggest that pathogenic variants associated with rare diseases might be the result of introgression from other archaic human species, and archaic admixture thus could have influenced disease risk in modern humans.
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21
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Marongiu M, Pérez-Mejías G, Orrù V, Steri M, Sidore C, Díaz-Quintana A, Mulas A, Busonero F, Maschio A, Walter K, Tardaguila M, Akbari P, Soranzo N, Fiorillo E, Gorospe M, Schlessinger D, Díaz-Moreno I, Cucca F, Zoledziewska M. GWAS of genetic factors affecting white blood cell morphological parameters in Sardinians uncovers influence of chromosome 11 innate immunity gene cluster on eosinophil morphology. Hum Mol Genet 2023; 32:790-797. [PMID: 36136759 PMCID: PMC9941829 DOI: 10.1093/hmg/ddac238] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2022] [Revised: 09/01/2022] [Accepted: 09/19/2022] [Indexed: 11/13/2022] Open
Abstract
Few genome-wide association studies (GWAS) analyzing genetic regulation of morphological traits of white blood cells have been reported. We carried out a GWAS of 12 morphological traits in 869 individuals from the general population of Sardinia, Italy. These traits, included measures of cell volume, conductivity and light scatter in four white-cell populations (eosinophils, lymphocytes, monocytes, neutrophils). This analysis yielded seven statistically significant signals, four of which were novel (four novel, PRG2, P2RX3, two of CDK6). Five signals were replicated in the independent INTERVAL cohort of 11 822 individuals. The most interesting signal with large effect size on eosinophil scatter (P-value = 8.33 x 10-32, beta = -1.651, se = 0.1351) falls within the innate immunity cluster on chromosome 11, and is located in the PRG2 gene. Computational analyses revealed that a rare, Sardinian-specific PRG2:p.Ser148Pro mutation modifies PRG2 amino acid contacts and protein dynamics in a manner that could possibly explain the changes observed in eosinophil morphology. Our discoveries shed light on genetics of morphological traits. For the first time, we describe such large effect size on eosinophils morphology that is relatively frequent in Sardinian population.
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Affiliation(s)
- Michele Marongiu
- Istituto di Ricerca Genetica e Biomedica (IRGB), Consiglio Nazionale delle Ricerche (CNR), 09042 Monserrato, Sardinia, Italy
| | - Gonzalo Pérez-Mejías
- Instituto de Investigaciones Químicas (IIQ)- Centro de Investigaciones Científicas Isla de la Cartuja (cicCartuja), Universidad de Sevilla-CSIC, 41092 Sevilla, Spain
| | - Valeria Orrù
- Istituto di Ricerca Genetica e Biomedica (IRGB), Consiglio Nazionale delle Ricerche (CNR), 09042 Monserrato, Sardinia, Italy
| | - Maristella Steri
- Istituto di Ricerca Genetica e Biomedica (IRGB), Consiglio Nazionale delle Ricerche (CNR), 09042 Monserrato, Sardinia, Italy
| | - Carlo Sidore
- Istituto di Ricerca Genetica e Biomedica (IRGB), Consiglio Nazionale delle Ricerche (CNR), 09042 Monserrato, Sardinia, Italy
| | - Antonio Díaz-Quintana
- Instituto de Investigaciones Químicas (IIQ)- Centro de Investigaciones Científicas Isla de la Cartuja (cicCartuja), Universidad de Sevilla-CSIC, 41092 Sevilla, Spain
| | - Antonella Mulas
- Istituto di Ricerca Genetica e Biomedica (IRGB), Consiglio Nazionale delle Ricerche (CNR), 09042 Monserrato, Sardinia, Italy
| | - Fabio Busonero
- Istituto di Ricerca Genetica e Biomedica (IRGB), Consiglio Nazionale delle Ricerche (CNR), 09042 Monserrato, Sardinia, Italy
| | - Andrea Maschio
- Istituto di Ricerca Genetica e Biomedica (IRGB), Consiglio Nazionale delle Ricerche (CNR), 09042 Monserrato, Sardinia, Italy
| | - Klaudia Walter
- Human Genetics, Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton CB10 1SA, Cambridge, UK
| | - Manuel Tardaguila
- Human Genetics, Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton CB10 1SA, Cambridge, UK
| | - Parsa Akbari
- Human Genetics, Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton CB10 1SA, Cambridge, UK
- British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Strangeways Research Laboratory, Wort’s Causeway, Cambridge CB1 8RN, UK
- Medical Research Council Biostatistics Unit, University of Cambridge, Cambridge Institute of Public Health, Cambridge Biomedical Campus, Forvie Site, Robinson Way, Cambridge CB2 0SR, UK
- The National Institute for Health Research Blood and Transplant Unit in Donor Health and Genomics, University of Cambridge, Strangeways Research Laboratory, Wort’s Causeway, Cambridge CB1 8RN, UK
| | - Nicole Soranzo
- Human Genetics, Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton CB10 1SA, Cambridge, UK
- The National Institute for Health Research Blood and Transplant Unit in Donor Health and Genomics, University of Cambridge, Strangeways Research Laboratory, Wort’s Causeway, Cambridge CB1 8RN, UK
- Department of Hematology, University of Cambridge, Cambridge Biomedical Campus, Cambridge CB2 0AW, UK
- British Heart Foundation Centre of Research Excellence, University of Cambridge, Cambridge CB2 0QQ, UK
- Genomics Research Centre, Human Technopole, 20157 Milan, Italy
| | - Edoardo Fiorillo
- Istituto di Ricerca Genetica e Biomedica (IRGB), Consiglio Nazionale delle Ricerche (CNR), 09042 Monserrato, Sardinia, Italy
| | - Myriam Gorospe
- Laboratory of Genetics and Genomics, National Institute on Aging (NIA), National Institutes of Health (NIH), Baltimore, MD 21224, USA
| | - David Schlessinger
- British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Strangeways Research Laboratory, Wort’s Causeway, Cambridge CB1 8RN, UK
| | - Irene Díaz-Moreno
- Instituto de Investigaciones Químicas (IIQ)- Centro de Investigaciones Científicas Isla de la Cartuja (cicCartuja), Universidad de Sevilla-CSIC, 41092 Sevilla, Spain
| | - Francesco Cucca
- Istituto di Ricerca Genetica e Biomedica (IRGB), Consiglio Nazionale delle Ricerche (CNR), 09042 Monserrato, Sardinia, Italy
- Department of Biomedical Sciences, Sassari University, 07100 Sassari, Italy
| | - Magdalena Zoledziewska
- Istituto di Ricerca Genetica e Biomedica (IRGB), Consiglio Nazionale delle Ricerche (CNR), 09042 Monserrato, Sardinia, Italy
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22
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Zhang X, Kim B, Singh A, Sankararaman S, Durvasula A, Lohmueller KE. MaLAdapt Reveals Novel Targets of Adaptive Introgression From Neanderthals and Denisovans in Worldwide Human Populations. Mol Biol Evol 2023; 40:msad001. [PMID: 36617238 PMCID: PMC9887621 DOI: 10.1093/molbev/msad001] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2022] [Revised: 12/25/2022] [Accepted: 12/28/2022] [Indexed: 01/09/2023] Open
Abstract
Adaptive introgression (AI) facilitates local adaptation in a wide range of species. Many state-of-the-art methods detect AI with ad-hoc approaches that identify summary statistic outliers or intersect scans for positive selection with scans for introgressed genomic regions. Although widely used, approaches intersecting outliers are vulnerable to a high false-negative rate as the power of different methods varies, especially for complex introgression events. Moreover, population genetic processes unrelated to AI, such as background selection or heterosis, may create similar genomic signals to AI, compromising the reliability of methods that rely on neutral null distributions. In recent years, machine learning (ML) methods have been increasingly applied to population genetic questions. Here, we present a ML-based method called MaLAdapt for identifying AI loci from genome-wide sequencing data. Using an Extra-Trees Classifier algorithm, our method combines information from a large number of biologically meaningful summary statistics to capture a powerful composite signature of AI across the genome. In contrast to existing methods, MaLAdapt is especially well-powered to detect AI with mild beneficial effects, including selection on standing archaic variation, and is robust to non-AI selective sweeps, heterosis from deleterious mutations, and demographic misspecification. Furthermore, MaLAdapt outperforms existing methods for detecting AI based on the analysis of simulated data and the validation of empirical signals through visual inspection of haplotype patterns. We apply MaLAdapt to the 1000 Genomes Project human genomic data and discover novel AI candidate regions in non-African populations, including genes that are enriched in functionally important biological pathways regulating metabolism and immune responses.
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Affiliation(s)
- Xinjun Zhang
- Department of Ecology and Evolutionary Biology, UCLA, Los Angeles, CA
| | - Bernard Kim
- Department of Biology, Stanford University, Palo Alto, CA
| | - Armaan Singh
- Department of Computer Science, UCLA, Los Angeles, CA
| | - Sriram Sankararaman
- Department of Computer Science, UCLA, Los Angeles, CA
- Department of Computational Medicine, UCLA, Los Angeles, CA
- Department of Human Genetics, David Geffen School of Medicine, UCLA, Los Angeles, CA
| | - Arun Durvasula
- Department of Genetics, Harvard Medical School, Boston, MA
| | - Kirk E Lohmueller
- Department of Ecology and Evolutionary Biology, UCLA, Los Angeles, CA
- Department of Human Genetics, David Geffen School of Medicine, UCLA, Los Angeles, CA
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23
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Schroeder L, Ackermann RR. Moving beyond the adaptationist paradigm for human evolution, and why it matters. J Hum Evol 2023; 174:103296. [PMID: 36527977 DOI: 10.1016/j.jhevol.2022.103296] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2022] [Revised: 11/12/2022] [Accepted: 11/12/2022] [Indexed: 12/23/2022]
Abstract
The Journal of Human Evolution (JHE) was founded 50 years ago when much of the foundation for how we think about human evolution was in place or being put in place, providing the main framework for how we consider our origins today. Here, we will explore historical developments, including early JHE outputs, as they relate to our understanding of the relationship between phenotypic variation and evolutionary process, and use that as a springboard for considering our current understanding of these links as applied to human evolution. We will focus specifically on how the study of variation itself has shifted us away from taxonomic and adaptationist perspectives toward a richer understanding of the processes shaping human evolutionary history, using literature searches and specific test cases to highlight this. We argue that natural selection, gene exchange, genetic drift, and mutation should not be considered individually when considering the production of hominin diversity. In this context, we offer suggestions for future research directions and reflect on this more complex understanding of human evolution and its broader relevance to society. Finally, we end by considering authorship demographics and practices in the last 50 years within JHE and how a shift in these demographics has the potential to reshape the science of human evolution going forward.
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Affiliation(s)
- Lauren Schroeder
- Department of Anthropology, University of Toronto Mississauga, Mississauga, ON, L5L 1C6, Canada; Human Evolution Research Institute, University of Cape Town, Rondebosch, 7701, South Africa.
| | - Rebecca Rogers Ackermann
- Human Evolution Research Institute, University of Cape Town, Rondebosch, 7701, South Africa; Department of Archaeology, University of Cape Town, Rondebosch, 7701, South Africa.
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24
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Taravella Oill AM, Buetow KH, Wilson MA. The role of Neanderthal introgression in liver cancer. BMC Med Genomics 2022; 15:255. [PMID: 36503519 PMCID: PMC9743633 DOI: 10.1186/s12920-022-01405-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2022] [Accepted: 11/25/2022] [Indexed: 12/14/2022] Open
Abstract
BACKGROUND Neanderthal introgressed DNA has been linked to different normal and disease traits including immunity and metabolism-two important functions that are altered in liver cancer. However, there is limited understanding of the relationship between Neanderthal introgression and liver cancer risk. The aim of this study was to investigate the relationship between Neanderthal introgression and liver cancer risk. METHODS Using germline and somatic DNA and tumor RNA from liver cancer patients from The Cancer Genome Atlas, along with ancestry-match germline DNA from unaffected individuals from the 1000 Genomes Resource, and allele specific expression data from normal liver tissue from The Genotype-Tissue Expression project we investigated whether Neanderthal introgression impacts cancer etiology. Using a previously generated set of Neanderthal alleles, we identified Neanderthal introgressed haplotypes. We then tested whether somatic mutations are enriched or depleted on Neanderthal introgressed haplotypes compared to modern haplotypes. We also computationally assessed whether somatic mutations have a functional effect or show evidence of regulating expression of Neanderthal haplotypes. Finally, we compared patterns of Neanderthal introgression in liver cancer patients and the general population. RESULTS We find Neanderthal introgressed haplotypes exhibit an excess of somatic mutations compared to modern haplotypes. Variant Effect Predictor analysis revealed that most of the somatic mutations on these Neanderthal introgressed haplotypes are not functional. We did observe expression differences of Neanderthal alleles between tumor and normal for four genes that also showed a pattern of enrichment of somatic mutations on Neanderthal haplotypes. However, gene expression was similar between liver cancer patients with modern ancestry and liver cancer patients with Neanderthal ancestry at these genes. Provocatively, when analyzing all genes, we find evidence of Neanderthal introgression regulating expression in tumor from liver cancer patients in two genes, ARK1C4 and OAS1. Finally, we find that most genes do not show a difference in the proportion of Neanderthal introgression between liver cancer patients and the general population. CONCLUSION Our results suggest that Neanderthal introgression provides opportunity for somatic mutations to accumulate, and that some Neanderthal introgression may impact liver cancer risk.
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Affiliation(s)
- Angela M Taravella Oill
- Center for Evolution and Medicine, Arizona State University, Tempe, AZ, USA.
- School of Life Sciences, Arizona State University, Tempe, AZ, USA.
| | - Kenneth H Buetow
- Center for Evolution and Medicine, Arizona State University, Tempe, AZ, USA
- School of Life Sciences, Arizona State University, Tempe, AZ, USA
| | - Melissa A Wilson
- Center for Evolution and Medicine, Arizona State University, Tempe, AZ, USA
- School of Life Sciences, Arizona State University, Tempe, AZ, USA
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25
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Konopiński MK, Fijarczyk AM, Biedrzycka A. Complex patterns shape immune genes diversity during invasion of common raccoon in Europe - Selection in action despite genetic drift. Evol Appl 2022; 16:134-151. [PMID: 36699132 PMCID: PMC9850017 DOI: 10.1111/eva.13517] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2022] [Revised: 11/24/2022] [Accepted: 11/28/2022] [Indexed: 12/14/2022] Open
Abstract
Rapid adaptation is common in invasive populations and is crucial to their long-term success. The primary target of selection in the invasive species' new range is standing genetic variation. Therefore, genetic drift and natural selection acting on existing variation are key evolutionary processes through which invaders will evolve over a short timescale. In this study, we used the case of the raccoon Procyon lotor invasion in Europe to identify the forces shaping the diversity of immune genes during invasion. The genes involved in the defence against infection should be under intense selection pressure in the invasive range where novel pathogens are expected to occur. To disentangle the selective and demographic processes shaping the adaptive immune diversity of its invasive and expanding populations, we have developed species-specific single-nucleotide polymorphism markers located in the coding regions of targeted immune-related genes. We characterised the genetic diversity of 110 functionally important immune genes in two invasive and one native raccoon genetic clusters, each presenting a different demographic history. Despite the strong effect of demographic processes in the invasive clusters, we detected a subset of genes exhibiting the diversity pattern suggestive of selection. The most likely process shaping the variation in those genes was balancing selection. The selected genes belong to toll-like receptors and cytokine-related genes. Our results suggest that the prevalence of selection depends on the level of diversity, that is - less genetically diverse invasive population from the Czech Republic displayed fewer signs of selection. Our results highlight the role of standing genetic variation in adapting to new environment. Understanding the evolutionary mechanisms behind invasion success would enable predicting how populations may respond to environmental change.
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Affiliation(s)
| | - Anna M. Fijarczyk
- Laval University Département de BiologieUniversité LavalQuébecQuébecCanada
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26
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Ma Y, Xiang F. Discovery of genomes of Neanderthal, Denisova and its impact on modern human. CHINESE SCIENCE BULLETIN-CHINESE 2022. [DOI: 10.1360/tb-2022-1134] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
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27
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Harvati K, Ackermann RR. Merging morphological and genetic evidence to assess hybridization in Western Eurasian late Pleistocene hominins. Nat Ecol Evol 2022; 6:1573-1585. [PMID: 36064759 DOI: 10.1038/s41559-022-01875-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2019] [Accepted: 08/08/2022] [Indexed: 11/09/2022]
Abstract
Previous scientific consensus saw human evolution as defined by adaptive differences (behavioural and/or biological) and the emergence of Homo sapiens as the ultimate replacement of non-modern groups by a modern, adaptively more competitive group. However, recent research has shown that the process underlying our origins was considerably more complex. While archaeological and fossil evidence suggests that behavioural complexity may not be confined to the modern human lineage, recent palaeogenomic work shows that gene flow between distinct lineages (for example, Neanderthals, Denisovans, early H. sapiens) occurred repeatedly in the late Pleistocene, probably contributing elements to our genetic make-up that might have been crucial to our success as a diverse, adaptable species. Following these advances, the prevailing human origins model has shifted from one of near-complete replacement to a more nuanced view of partial replacement with considerable reticulation. Here we provide a brief introduction to the current genetic evidence for hybridization among hominins, its prevalence in, and effects on, comparative mammal groups, and especially how it manifests in the skull. We then explore the degree to which cranial variation seen in the fossil record of late Pleistocene hominins from Western Eurasia corresponds with our current genetic and comparative data. We are especially interested in understanding the degree to which skeletal data can reflect admixture. Our findings indicate some correspondence between these different lines of evidence, flag individual fossils as possibly admixed, and suggest that different cranial regions may preserve hybridization signals differentially. We urge further studies of the phenotype to expand our ability to detect the ways in which migration, interaction and genetic exchange have shaped the human past, beyond what is currently visible with the lens of ancient DNA.
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Affiliation(s)
- K Harvati
- Paleoanthropology section, Senckenberg Centre for Human Evolution and Palaeoenvironment, Institute for Archaeological Sciences, Eberhard Karls Universität Tübingen, Tübingen, Germany.
- DFG Centre for Advanced Studies 'Words, Bones, Genes, Tools', Eberhard Karls Universität Tübingen, Tübingen, Germany.
| | - R R Ackermann
- Human Evolution Research Institute, University of Cape Town, Cape Town, South Africa.
- Department of Archaeology, University of Cape Town, Cape Town, South Africa.
- DFG Centre for Advanced Studies 'Words, Bones, Genes, Tools', Eberhard Karls Universität Tübingen, Tübingen, Germany.
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Reilly PF, Tjahjadi A, Miller SL, Akey JM, Tucci S. The contribution of Neanderthal introgression to modern human traits. Curr Biol 2022; 32:R970-R983. [PMID: 36167050 PMCID: PMC9741939 DOI: 10.1016/j.cub.2022.08.027] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Neanderthals, our closest extinct relatives, lived in western Eurasia from 400,000 years ago until they went extinct around 40,000 years ago. DNA retrieved from ancient specimens revealed that Neanderthals mated with modern human contemporaries. As a consequence, introgressed Neanderthal DNA survives scattered across the human genome such that 1-4% of the genome of present-day people outside Africa are inherited from Neanderthal ancestors. Patterns of Neanderthal introgressed genomic sequences suggest that Neanderthal alleles had distinct fates in the modern human genetic background. Some Neanderthal alleles facilitated human adaptation to new environments such as novel climate conditions, UV exposure levels and pathogens, while others had deleterious consequences. Here, we review the body of work on Neanderthal introgression over the past decade. We describe how evolutionary forces shaped the genomic landscape of Neanderthal introgression and highlight the impact of introgressed alleles on human biology and phenotypic variation.
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Affiliation(s)
| | - Audrey Tjahjadi
- Department of Anthropology, Yale University, New Haven, CT, USA
| | | | - Joshua M Akey
- Lewis Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ, USA.
| | - Serena Tucci
- Department of Anthropology, Yale University, New Haven, CT, USA; Department of Ecology and Evolutionary Biology, Yale University, New Haven, CT, USA.
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29
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Collins AM, Watson CT, Breden F. Immunoglobulin genes, reproductive isolation and vertebrate speciation. Immunol Cell Biol 2022; 100:497-506. [PMID: 35781330 PMCID: PMC9545137 DOI: 10.1111/imcb.12567] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2022] [Revised: 06/19/2022] [Accepted: 06/21/2022] [Indexed: 12/15/2022]
Abstract
Reproductive isolation drives the formation of new species, and many genes contribute to this through Dobzhansky–Muller incompatibilities (DMIs). These incompatibilities occur when gene divergence affects loci encoding interacting products such as receptors and their ligands. We suggest here that the nature of vertebrate immunoglobulin (IG) genes must make them prone to DMIs. The genes of these complex loci form functional genes through the process of recombination, giving rise to a repertoire of heterodimeric receptors of incredible diversity. This repertoire, within individuals and within species, must defend against pathogens but must also avoid pathogenic self‐reactivity. We suggest that this avoidance of autoimmunity is only achieved through a coordination of evolution between heavy‐ and light‐chain genes, and between these genes and the rest of the genome. Without coordinated evolution, the hybrid offspring of two diverging populations will carry a heavy burden of DMIs, resulting in a loss of fitness. Critical incompatibilities could manifest as incompatibilities between a mother and her divergent offspring. During fetal development, biochemical differences between the parents of hybrid offspring could make their offspring a target of the maternal immune system. This hypothesis was conceived in the light of recent insights into the population genetics of IG genes. This has suggested that antibody genes are probably as susceptible to evolutionary forces as other parts of the genome. Further repertoire studies in human and nonhuman species should now help determine whether antibody genes have been part of the evolutionary forces that drive the development of species.
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Affiliation(s)
- Andrew M Collins
- School of Biotechnology and Biomolecular Sciences University of New South Wales Sydney NSW Australia
| | - Corey T Watson
- Department of Biochemistry and Molecular Genetics University of Louisville School of Medicine Louisville KY USA
| | - Felix Breden
- Department of Biological Sciences Simon Fraser University Burnaby BC Canada
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30
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Peyrégne S, Kelso J, Peter BM, Pääbo S. The evolutionary history of human spindle genes includes back-and-forth gene flow with Neandertals. eLife 2022; 11:75464. [PMID: 35816093 PMCID: PMC9273211 DOI: 10.7554/elife.75464] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2021] [Accepted: 06/14/2022] [Indexed: 12/13/2022] Open
Abstract
Proteins associated with the spindle apparatus, a cytoskeletal structure that ensures the proper segregation of chromosomes during cell division, experienced an unusual number of amino acid substitutions in modern humans after the split from the ancestors of Neandertals and Denisovans. Here, we analyze the history of these substitutions and show that some of the genes in which they occur may have been targets of positive selection. We also find that the two changes in the kinetochore scaffold 1 (KNL1) protein, previously believed to be specific to modern humans, were present in some Neandertals. We show that the KNL1 gene of these Neandertals shared a common ancestor with present-day Africans about 200,000 years ago due to gene flow from the ancestors (or relatives) of modern humans into Neandertals. Subsequently, some non-Africans inherited this modern human-like gene variant from Neandertals, but none inherited the ancestral gene variants. These results add to the growing evidence of early contacts between modern humans and archaic groups in Eurasia and illustrate the intricate relationships among these groups.
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Affiliation(s)
- Stéphane Peyrégne
- Department of Evolutionary Genetics, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
| | - Janet Kelso
- Department of Evolutionary Genetics, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
| | - Benjamin M Peter
- Department of Evolutionary Genetics, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
| | - Svante Pääbo
- Department of Evolutionary Genetics, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
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31
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Garcia-Erill G, Jørgensen CHF, Muwanika VB, Wang X, Rasmussen MS, de Jong YA, Gaubert P, Olayemi A, Salmona J, Butynski TM, Bertola LD, Siegismund HR, Albrechtsen A, Heller R. Warthog Genomes Resolve an Evolutionary Conundrum and Reveal Introgression of Disease Resistance Genes. Mol Biol Evol 2022; 39:6627297. [PMID: 35779009 PMCID: PMC9250280 DOI: 10.1093/molbev/msac134] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022] Open
Abstract
African wild pigs have a contentious evolutionary and biogeographic history. Until recently, desert warthog (Phacochoerus aethiopicus) and common warthog (P. africanus) were considered a single species. Molecular evidence surprisingly suggested they diverged at least 4.4 million years ago, and possibly outside of Africa. We sequenced the first whole-genomes of four desert warthogs and 35 common warthogs from throughout their range. We show that these two species diverged much later than previously estimated, 400,000–1,700,000 years ago depending on assumptions of gene flow. This brings it into agreement with the paleontological record. We found that the common warthog originated in western Africa and subsequently colonized eastern and southern Africa. During this range expansion, the common warthog interbred with the desert warthog, presumably in eastern Africa, underlining this region’s importance in African biogeography. We found that immune system–related genes may have adaptively introgressed into common warthogs, indicating that resistance to novel diseases was one of the most potent drivers of evolution as common warthogs expanded their range. Hence, we solve some of the key controversies surrounding warthog evolution and reveal a complex evolutionary history involving range expansion, introgression, and adaptation to new diseases.
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Affiliation(s)
- Genís Garcia-Erill
- Department of Biology, University of Copenhagen, Ole Maaløes Vej 5, 2200 Copenhagen N, Denmark
| | - Christian H F Jørgensen
- Department of Biology, University of Copenhagen, Ole Maaløes Vej 5, 2200 Copenhagen N, Denmark
| | - Vincent B Muwanika
- Department of Environmental Management, Makerere University, PO Box 7062, Kampala, Uganda
| | - Xi Wang
- Department of Biology, University of Copenhagen, Ole Maaløes Vej 5, 2200 Copenhagen N, Denmark
| | - Malthe S Rasmussen
- Department of Biology, University of Copenhagen, Ole Maaløes Vej 5, 2200 Copenhagen N, Denmark
| | - Yvonne A de Jong
- Eastern Africa Primate Diversity and Conservation Program & Lolldaiga Hills Research Programme, PO Box 149, Nanyuki 10400, Kenya
| | - Philippe Gaubert
- Laboratoire Évolution & Diversité Biologique, Université Toulouse III Paul Sabatier, 31062 Toulouse, France
| | - Ayodeji Olayemi
- Natural History Museum, Obafemi Awolowo University, HO 220005 Ile Ife, Nigeria
| | - Jordi Salmona
- Laboratoire Évolution & Diversité Biologique, Université Toulouse III Paul Sabatier, 31062 Toulouse, France
| | - Thomas M Butynski
- Eastern Africa Primate Diversity and Conservation Program & Lolldaiga Hills Research Programme, PO Box 149, Nanyuki 10400, Kenya
| | - Laura D Bertola
- Department of Biology, University of Copenhagen, Ole Maaløes Vej 5, 2200 Copenhagen N, Denmark
| | - Hans R Siegismund
- Department of Biology, University of Copenhagen, Ole Maaløes Vej 5, 2200 Copenhagen N, Denmark
| | - Anders Albrechtsen
- Department of Biology, University of Copenhagen, Ole Maaløes Vej 5, 2200 Copenhagen N, Denmark
| | - Rasmus Heller
- Department of Biology, University of Copenhagen, Ole Maaløes Vej 5, 2200 Copenhagen N, Denmark
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32
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Kerner G, Quintana-Murci L. The genetic and evolutionary determinants of COVID-19 susceptibility. Eur J Hum Genet 2022; 30:915-921. [PMID: 35760904 PMCID: PMC9244541 DOI: 10.1038/s41431-022-01141-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2022] [Revised: 04/26/2022] [Accepted: 06/16/2022] [Indexed: 02/08/2023] Open
Abstract
Devastating pandemics, such as that due to COVID-19, can provide strong testimony to our knowledge of the genetic and evolutionary determinants of infectious disease susceptibility and severity. One of the most remarkable aspects of such outbreaks is the stunning interindividual variability observed in the course of infection. In recent decades, enormous progress has been made in the field of the human genetics of infectious diseases, and an increasing number of human genetic factors have been reported to explain, to a great extent, the observed variability for a large number of infectious agents. However, our understanding of the cellular, molecular, and immunological mechanisms underlying such disparities between individuals and ethnic groups, remains very limited. Here, we discuss recent findings relating to human genetic predisposition to infectious disease, from an immunological or population genetic perspective, and show how these and other innovative approaches have been applied to deciphering the genetic basis of human susceptibility to COVID-19 and the severity of this disease. From an evolutionary perspective, we show how past demographic and selection events characterizing the history of our species, including admixture with archaic humans, such as Neanderthals, facilitated modern human adaptation to the threats imposed by ancient pathogens. In the context of emerging infectious diseases, these past episodes of genetic adaptation may contribute to some of the observed population differences in the outcome of SARS-CoV-2 infection and the severity of COVID-19 illness.
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Affiliation(s)
- Gaspard Kerner
- Institut Pasteur, Université Paris Cité, CNRS UMR2000, Human Evolutionary Genetics Unit, F-75015, Paris, France
| | - Lluis Quintana-Murci
- Institut Pasteur, Université Paris Cité, CNRS UMR2000, Human Evolutionary Genetics Unit, F-75015, Paris, France. .,Collège de France, Chair of Human Genomics and Evolution, F-75005, Paris, France.
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33
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Hernandez-Jaimes OA, Cazares-Olvera DV, Line J, Moreno-Eutimio MA, Gómez-Castro CZ, Naisbitt DJ, Castrejón-Flores JL. Advances in Our Understanding of the Interaction of Drugs with T-cells: Implications for the Discovery of Biomarkers in Severe Cutaneous Drug Reactions. Chem Res Toxicol 2022; 35:1162-1183. [PMID: 35704769 DOI: 10.1021/acs.chemrestox.1c00434] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
Drugs can activate different cells of the immune system and initiate an immune response that can lead to life-threatening diseases collectively known as severe cutaneous adverse reactions (SCARs). Antibiotics, anticonvulsants, and antiretrovirals are involved in the development of SCARs by the activation of αβ naïve T-cells. However, other subsets of lymphocytes known as nonconventional T-cells with a limited T-cell receptor repertoire and innate and adaptative functions also recognize drugs and drug-like molecules, but their role in the pathogenesis of SCARs has only just begun to be explored. Despite 30 years of advances in our understanding of the mechanisms in which drugs interact with T-cells and the pathways for tissue injury seen during T-cell activation, at present, the development of useful clinical biomarkers for SCARs or predictive preclinical in vitro assays that could identify immunogenic moieties during drug discovery is an unmet goal. Therefore, the present review focuses on (i) advances in the understanding of the pathogenesis of SCARs reactions, (ii) a description of the interaction of drugs with conventional and nonconventional T-cells, and (iii) the current state of soluble blood circulating biomarker candidates for SCARs.
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Affiliation(s)
| | - Diana Valeria Cazares-Olvera
- Instituto Politécnico Nacional, Unidad Profesional Interdisciplinaria de Biotecnología, México City 07340, México
| | - James Line
- MRC Centre for Drug Safety Science, Department of Pharmacology, University of Liverpool, Liverpool L69 3GE, United Kingdom
| | | | | | - Dean J Naisbitt
- MRC Centre for Drug Safety Science, Department of Pharmacology, University of Liverpool, Liverpool L69 3GE, United Kingdom
| | - José Luis Castrejón-Flores
- Instituto Politécnico Nacional, Unidad Profesional Interdisciplinaria de Biotecnología, México City 07340, México
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34
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Popadin K, Gunbin K, Peshkin L, Annis S, Fleischmann Z, Franco M, Kraytsberg Y, Markuzon N, Ackermann RR, Khrapko K. Mitochondrial Pseudogenes Suggest Repeated Inter-Species Hybridization among Direct Human Ancestors. Genes (Basel) 2022; 13:810. [PMID: 35627195 PMCID: PMC9140377 DOI: 10.3390/genes13050810] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2022] [Revised: 04/12/2022] [Accepted: 04/16/2022] [Indexed: 12/02/2022] Open
Abstract
The hypothesis that the evolution of humans involves hybridization between diverged species has been actively debated in recent years. We present the following novel evidence in support of this hypothesis: the analysis of nuclear pseudogenes of mtDNA ("NUMTs"). NUMTs are considered "mtDNA fossils" as they preserve sequences of ancient mtDNA and thus carry unique information about ancestral populations. Our comparison of a NUMT sequence shared by humans, chimpanzees, and gorillas with their mtDNAs implies that, around the time of divergence between humans and chimpanzees, our evolutionary history involved the interbreeding of individuals whose mtDNA had diverged as much as ~4.5 Myr prior. This large divergence suggests a distant interspecies hybridization. Additionally, analysis of two other NUMTs suggests that such events occur repeatedly. Our findings suggest a complex pattern of speciation in primate/human ancestors and provide one potential explanation for the mosaic nature of fossil morphology found at the emergence of the hominin lineage. A preliminary version of this manuscript was uploaded to the preprint server BioRxiv in 2017 (10.1101/134502).
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Affiliation(s)
- Konstantin Popadin
- School of Life Sciences, École Polytechnique Fédérale de Lausanne, 1015 Lausanne, Switzerland;
- Center for Mitochondrial Functional Genomics, Institute of Living Systems, Immanuel Kant Baltic Federal University, 236040 Kaliningrad, Russia
- Swiss Institute of Bioinformatics, 1015 Lausanne, Switzerland
| | | | - Leonid Peshkin
- Department of Genetics, Harvard Medical School, Boston, MA 02115, USA;
| | - Sofia Annis
- Department of Biology, Northeastern University, Boston, MA 02115, USA; (S.A.); (Z.F.); (M.F.)
| | - Zoe Fleischmann
- Department of Biology, Northeastern University, Boston, MA 02115, USA; (S.A.); (Z.F.); (M.F.)
| | - Melissa Franco
- Department of Biology, Northeastern University, Boston, MA 02115, USA; (S.A.); (Z.F.); (M.F.)
| | | | | | - Rebecca R. Ackermann
- Human Evolution Research Institute, Department of Archaeology, University of Cape Town, Cape Town 7700, South Africa;
| | - Konstantin Khrapko
- Department of Biology, Northeastern University, Boston, MA 02115, USA; (S.A.); (Z.F.); (M.F.)
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35
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Brand CM, Colbran LL, Capra JA. Predicting Archaic Hominin Phenotypes from Genomic Data. Annu Rev Genomics Hum Genet 2022; 23:591-612. [PMID: 35440148 DOI: 10.1146/annurev-genom-111521-121903] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
Ancient DNA provides a powerful window into the biology of extant and extinct species, including humans' closest relatives: Denisovans and Neanderthals. Here, we review what is known about archaic hominin phenotypes from genomic data and how those inferences have been made. We contend that understanding the influence of variants on lower-level molecular phenotypes-such as gene expression and protein function-is a promising approach to using ancient DNA to learn about archaic hominin traits. Molecular phenotypes have simpler genetic architectures than organism-level complex phenotypes, and this approach enables moving beyond association studies by proposing hypotheses about the effects of archaic variants that are testable in model systems. The major challenge to understanding archaic hominin phenotypes is broadening our ability to accurately map genotypes to phenotypes, but ongoing advances ensure that there will be much more to learn about archaic hominin phenotypes from their genomes. Expected final online publication date for the Annual Review of Genomics and Human Genetics, Volume 23 is October 2022. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.
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Affiliation(s)
- Colin M Brand
- Department of Epidemiology and Biostatistics, University of California, San Francisco, California, USA; , .,Bakar Computational Health Sciences Institute, University of California, San Francisco, California, USA
| | - Laura L Colbran
- Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - John A Capra
- Department of Epidemiology and Biostatistics, University of California, San Francisco, California, USA; , .,Bakar Computational Health Sciences Institute, University of California, San Francisco, California, USA
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36
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Boahen CK, Temba GS, Kullaya VI, Matzaraki V, Joosten LAB, Kibiki G, Mmbaga BT, van der Ven A, de Mast Q, Netea MG, Kumar V. A functional genomics approach in Tanzanian population identifies distinct genetic regulators of cytokine production compared to European population. Am J Hum Genet 2022; 109:471-485. [PMID: 35167808 DOI: 10.1016/j.ajhg.2022.01.014] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2021] [Accepted: 01/24/2022] [Indexed: 12/23/2022] Open
Abstract
Humans exhibit remarkable interindividual and interpopulation immune response variability upon microbial challenges. Cytokines play a vital role in regulating inflammation and immune responses, but dysregulation of cytokine responses has been implicated in different disease states. Host genetic factors were previously shown to significantly impact cytokine response heterogeneity mainly in European-based studies, but it is unclear whether these findings are transferable to non-European individuals. Here, we aimed to identify genetic variants modulating cytokine responses in healthy adults of East African ancestry from Tanzania. We leveraged both cytokine and genetic data and performed genome-wide cytokine quantitative trait loci (cQTLs) mapping. The results were compared with another cohort of healthy adults of Western European ancestry via direct overlap and functional enrichment analyses. We also performed meta-analyses to identify cQTLs with congruent effect direction in both populations. In the Tanzanians, cQTL mapping identified 80 independent suggestive loci and one genome-wide significant locus (TBC1D22A) at chromosome 22; SNP rs12169244 was associated with IL-1b release after Salmonella enteritidis stimulation. Remarkably, the identified cQTLs varied significantly when compared to the European cohort, and there was a very limited percentage of overlap (1.6% to 1.9%). We further observed ancestry-specific pathways regulating induced cytokine responses, and there was significant enrichment of the interferon pathway specifically in the Tanzanians. Furthermore, contrary to the Europeans, genetic variants in the TLR10-TLR1-TLR6 locus showed no effect on cytokine response. Our data reveal both ancestry-specific effects of genetic variants and pathways on cytokine response heterogeneity, hence arguing for the importance of initiatives to include diverse populations into genomics research.
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Affiliation(s)
- Collins K Boahen
- Department of Internal Medicine and Radboud Institute of Molecular Life Sciences, Radboud University Medical Center, Nijmegen 6525, the Netherlands; Department of Internal Medicine and Radboud Center for Infectious Diseases, Radboud University Medical Center, Nijmegen 6525, the Netherlands
| | - Godfrey S Temba
- Department of Internal Medicine and Radboud Center for Infectious Diseases, Radboud University Medical Center, Nijmegen 6525, the Netherlands; Department of Medical Biochemistry and Molecular Biology, Kilimanjaro Christian Medical University College, Moshi 251, Tanzania
| | - Vesla I Kullaya
- Department of Medical Biochemistry and Molecular Biology, Kilimanjaro Christian Medical University College, Moshi 251, Tanzania; Kilimanjaro Clinical Research Institute, Kilimanjaro Christian Medical Center, Moshi 251, Tanzania
| | - Vasiliki Matzaraki
- Department of Internal Medicine and Radboud Institute of Molecular Life Sciences, Radboud University Medical Center, Nijmegen 6525, the Netherlands; Department of Internal Medicine and Radboud Center for Infectious Diseases, Radboud University Medical Center, Nijmegen 6525, the Netherlands
| | - Leo A B Joosten
- Department of Internal Medicine and Radboud Institute of Molecular Life Sciences, Radboud University Medical Center, Nijmegen 6525, the Netherlands; Department of Internal Medicine and Radboud Center for Infectious Diseases, Radboud University Medical Center, Nijmegen 6525, the Netherlands
| | - Gibson Kibiki
- Kilimanjaro Clinical Research Institute, Kilimanjaro Christian Medical Center, Moshi 251, Tanzania; Department of Paediatrics, Kilimanjaro Christian Medical University College, Moshi 251, Tanzania
| | - Blandina T Mmbaga
- Kilimanjaro Clinical Research Institute, Kilimanjaro Christian Medical Center, Moshi 251, Tanzania
| | - Andre van der Ven
- Department of Internal Medicine and Radboud Center for Infectious Diseases, Radboud University Medical Center, Nijmegen 6525, the Netherlands; Department of Medical Biochemistry and Molecular Biology, Kilimanjaro Christian Medical University College, Moshi 251, Tanzania
| | - Quirijn de Mast
- Department of Internal Medicine and Radboud Center for Infectious Diseases, Radboud University Medical Center, Nijmegen 6525, the Netherlands
| | - Mihai G Netea
- Department of Internal Medicine and Radboud Institute of Molecular Life Sciences, Radboud University Medical Center, Nijmegen 6525, the Netherlands; Department of Internal Medicine and Radboud Center for Infectious Diseases, Radboud University Medical Center, Nijmegen 6525, the Netherlands; Department for Genomics and Immunoregulation, Life and Medical Sciences Institute, University of Bonn, Bonn 53115, Germany
| | - Vinod Kumar
- Department of Internal Medicine and Radboud Institute of Molecular Life Sciences, Radboud University Medical Center, Nijmegen 6525, the Netherlands; Department of Internal Medicine and Radboud Center for Infectious Diseases, Radboud University Medical Center, Nijmegen 6525, the Netherlands; University of Groningen, University Medical Center Groningen, Department of Genetics, Groningen 9700, the Netherlands; Nitte (Deemed to be University), Nitte University Centre for Science Education and Research, Medical Sciences Complex, Deralakatte, Mangalore 575018, India.
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37
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Barnes AB, Keener RM, Schott BH, Wang L, Valdivia RH, Ko DC. Human genetic diversity regulating the TLR10/TLR1/TLR6 locus confers increased cytokines in response to Chlamydia trachomatis. HGG ADVANCES 2022; 3:100071. [PMID: 35047856 PMCID: PMC8756536 DOI: 10.1016/j.xhgg.2021.100071] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2021] [Accepted: 11/15/2021] [Indexed: 12/25/2022] Open
Abstract
Human genetic diversity can have profound effects on health outcomes upon exposure to infectious agents. For infections with Chlamydia trachomatis (C. trachomatis), the wide range of genital and ocular disease manifestations are likely influenced by human genetic differences that regulate interactions between C. trachomatis and host cells. We leveraged this diversity in cellular responses to demonstrate the importance of variation at the Toll-like receptor 1 (TLR1), TLR6, and TLR10 locus to cytokine production in response to C. trachomatis. We determined that a single-nucleotide polymorphism (SNP) (rs1057807), located in a region that forms a loop with the TLR6 promoter, is associated with increased expression of TLR1, TLR6, and TLR10 and secreted levels of ten C. trachomatis-induced cytokines. Production of these C. trachomatis-induced cytokines is primarily dependent on MyD88 and TLR6 based on experiments using inhibitors, blocking antibodies, RNAi, and protein overexpression. Population genetic analyses further demonstrated that the mean IL-6 response of cells from two European populations were higher than the mean response of cells from three African populations and that this difference was partially attributable to variation in rs1057807 allele frequency. In contrast, a SNP associated with a different pro-inflammatory cytokine (rs2869462 associated with the chemokine CXCL10) exhibited an opposite response, underscoring the complexity of how different genetic variants contribute to an individual's immune response. This multidisciplinary study has identified a long-range chromatin interaction and genetic variation that regulates TLR6 to broaden our understanding of how human genetic variation affects the C. trachomatis-induced immune response.
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Affiliation(s)
- Alyson B. Barnes
- Department of Molecular Genetics and Microbiology, School of Medicine, Duke University, Durham, NC 27710, USA
| | - Rachel M. Keener
- Department of Molecular Genetics and Microbiology, School of Medicine, Duke University, Durham, NC 27710, USA
- University Program in Genetics and Genomics, Duke University, Durham, NC 27710, USA
| | - Benjamin H. Schott
- Department of Molecular Genetics and Microbiology, School of Medicine, Duke University, Durham, NC 27710, USA
- University Program in Genetics and Genomics, Duke University, Durham, NC 27710, USA
| | - Liuyang Wang
- Department of Molecular Genetics and Microbiology, School of Medicine, Duke University, Durham, NC 27710, USA
| | - Raphael H. Valdivia
- Department of Molecular Genetics and Microbiology, School of Medicine, Duke University, Durham, NC 27710, USA
| | - Dennis C. Ko
- Department of Molecular Genetics and Microbiology, School of Medicine, Duke University, Durham, NC 27710, USA
- University Program in Genetics and Genomics, Duke University, Durham, NC 27710, USA
- Division of Infectious Diseases, Department of Medicine, School of Medicine, Duke University, Durham, NC 27710, USA
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Jagoda E, Xue JR, Reilly SK, Dannemann M, Racimo F, Huerta-Sanchez E, Sankararaman S, Kelso J, Pagani L, Sabeti PC, Capellini TD. Detection of Neanderthal Adaptively Introgressed Genetic Variants That Modulate Reporter Gene Expression in Human Immune Cells. Mol Biol Evol 2022; 39:msab304. [PMID: 34662402 PMCID: PMC8760939 DOI: 10.1093/molbev/msab304] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Although some variation introgressed from Neanderthals has undergone selective sweeps, little is known about its functional significance. We used a Massively Parallel Reporter Assay (MPRA) to assay 5,353 high-frequency introgressed variants for their ability to modulate the gene expression within 170 bp of endogenous sequence. We identified 2,548 variants in active putative cis-regulatory elements (CREs) and 292 expression-modulating variants (emVars). These emVars are predicted to alter the binding motifs of important immune transcription factors, are enriched for associations with neutrophil and white blood cell count, and are associated with the expression of genes that function in innate immune pathways including inflammatory response and antiviral defense. We combined the MPRA data with other data sets to identify strong candidates to be driver variants of positive selection including an emVar that may contribute to protection against severe COVID-19 response. We endogenously deleted two CREs containing expression-modulation variants linked to immune function, rs11624425 and rs80317430, identifying their primary genic targets as ELMSAN1, and PAN2 and STAT2, respectively, three genes differentially expressed during influenza infection. Overall, we present the first database of experimentally identified expression-modulating Neanderthal-introgressed alleles contributing to potential immune response in modern humans.
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Affiliation(s)
- Evelyn Jagoda
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, USA
| | - James R Xue
- Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Steven K Reilly
- Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Michael Dannemann
- Department of Evolutionary Genetics, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
- Estonian Biocentre, Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Fernando Racimo
- Lundbeck GeoGenetics Centre, The Globe Institute, University of Copenhagen, Copenhagen, Denmark
| | - Emilia Huerta-Sanchez
- Department of Ecology and Evolutionary Biology, Brown University, Providence, RI, USA
- Center for Computational Molecular Biology, Brown University, Providence, RI, USA
| | - Sriram Sankararaman
- Department of Computer Science, UCLA, Los Angeles, CA, USA
- Department of Human Genetics, UCLA, Los Angeles, CA, USA
| | - Janet Kelso
- Department of Evolutionary Genetics, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
| | - Luca Pagani
- Estonian Biocentre, Institute of Genomics, University of Tartu, Tartu, Estonia
- Department of Biology, University of Padova, Padova, Italy
| | - Pardis C Sabeti
- Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Howard Hughes Medical Institute, Chevy Chase, MD, 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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Rodríguez-Frías F, Quer J, Tabernero D, Cortese MF, Garcia-Garcia S, Rando-Segura A, Pumarola T. Microorganisms as Shapers of Human Civilization, from Pandemics to Even Our Genomes: Villains or Friends? A Historical Approach. Microorganisms 2021; 9:2518. [PMID: 34946123 PMCID: PMC8708650 DOI: 10.3390/microorganisms9122518] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2021] [Revised: 11/23/2021] [Accepted: 11/30/2021] [Indexed: 02/07/2023] Open
Abstract
Universal history is characterized by continuous evolution, in which civilizations are born and die. This evolution is associated with multiple factors, among which the role of microorganisms is often overlooked. Viruses and bacteria have written or decisively contributed to terrible episodes of history, such as the Black Death in 14th century Europe, the annihilation of pre-Columbian American civilizations, and pandemics such as the 1918 Spanish flu or the current COVID-19 pandemic caused by the coronavirus SARS-CoV-2. Nevertheless, it is clear that we could not live in a world without these tiny beings. Endogenous retroviruses have been key to our evolution and for the regulation of gene expression, and the gut microbiota helps us digest compounds that we could not otherwise process. In addition, we have used microorganisms to preserve or prepare food for millennia and more recently to obtain drugs such as antibiotics or to develop recombinant DNA technologies. Due to the enormous importance of microorganisms for our survival, they have significantly influenced the population genetics of different human groups. This paper will review the role of microorganisms as "villains" who have been responsible for tremendous mortality throughout history but also as "friends" who help us survive and evolve.
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Affiliation(s)
- Francisco Rodríguez-Frías
- Clinical Biochemistry Research Group, Department of Biochemistry, Vall d’Hebron Institut Recerca-Hospital Universitari Vall d’Hebron, Universitat Autònoma de Barcelona, 08035 Barcelona, Spain; (M.F.C.); (S.G.-G.)
- Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas, Instituto de Salud Carlos III, 28029 Madrid, Spain;
- Liver Pathology Unit, Departments of Biochemistry and Microbiology, Hospital Universitari Vall d’Hebron, Universitat Autònoma de Barcelona, 08035 Barcelona, Spain;
| | - Josep Quer
- Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas, Instituto de Salud Carlos III, 28029 Madrid, Spain;
- Liver Unit, Liver Disease Laboratory-Viral Hepatitis, Vall d’Hebron Institut Recerca, Hospital Universitari Vall d’Hebron, Vall d’Hebron Barcelona Hospital Campus, 08035 Barcelona, Spain
| | - David Tabernero
- Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas, Instituto de Salud Carlos III, 28029 Madrid, Spain;
| | - Maria Francesca Cortese
- Clinical Biochemistry Research Group, Department of Biochemistry, Vall d’Hebron Institut Recerca-Hospital Universitari Vall d’Hebron, Universitat Autònoma de Barcelona, 08035 Barcelona, Spain; (M.F.C.); (S.G.-G.)
- Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas, Instituto de Salud Carlos III, 28029 Madrid, Spain;
| | - Selene Garcia-Garcia
- Clinical Biochemistry Research Group, Department of Biochemistry, Vall d’Hebron Institut Recerca-Hospital Universitari Vall d’Hebron, Universitat Autònoma de Barcelona, 08035 Barcelona, Spain; (M.F.C.); (S.G.-G.)
- Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas, Instituto de Salud Carlos III, 28029 Madrid, Spain;
| | - Ariadna Rando-Segura
- Liver Pathology Unit, Departments of Biochemistry and Microbiology, Hospital Universitari Vall d’Hebron, Universitat Autònoma de Barcelona, 08035 Barcelona, Spain;
- Department of Microbiology, Hospital Universitari Vall d’Hebron, Vall d’Hebron Barcelona Hospital Campus, Passeig Vall d’Hebron 119-129, 08035 Barcelona, Spain;
| | - Tomas Pumarola
- Department of Microbiology, Hospital Universitari Vall d’Hebron, Vall d’Hebron Barcelona Hospital Campus, Passeig Vall d’Hebron 119-129, 08035 Barcelona, Spain;
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Race and sex based disparities in sepsis. Heart Lung 2021; 52:37-41. [PMID: 34837726 DOI: 10.1016/j.hrtlng.2021.11.001] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2021] [Revised: 11/04/2021] [Accepted: 11/07/2021] [Indexed: 12/27/2022]
Abstract
BACKGROUND Studies of sepsis evaluating sex- and race-related disparities in treatment and outcome have been limited by using administrative databases, which may not adequately capture sepsis diagnosis, used limited number and types of races, or not included both sex and race in the analyses. OBJECTIVE To determine if patients of different races and sexes with sepsis have different mortality, receipt of mechanical ventilation or renal replacement therapy, or time to antibiotics? METHODS We retrospectively analyzed clinical data from 34,999 patients with sepsis, defined by Sepsis-3 criteria, using logistic regression and linear regression. RESULTS After adjustments for confounders, Asian females had the lowest adjusted 90-day mortality (OR=0.656, 95% CI=0.385-1.118, p<0.001 compared to White males). Similarly, compared to White males, African-American males had a lower adjusted mortality (OR=0.790, 95% CI=0.648-0.963, p = 0.019), while Asian males (OR=1.185, 95% CI=0. 828-1.696, p = 0.354) and both African-American (OR=0.972, 95% CI=0.800-1.182, p = 0.779) and Caucasian (OR=1.054, 95% CI=0.960-1.158, p = 0.270) females had similar mortality. Both male and female patients with Other/unknown race had higher mortality (OR=1.776, 95% CI=1.395-2.261, p<0.001 and OR=1.658, 95% CI=1.359-2.021, p<0.001), respectively. In the secondary analyses for new-onset mechanical ventilation and new-onset renal replacement therapy post-sepsis, we found no association between any of the race-sex groups and receipt of these therapies. CONCLUSION We found that Asian females had the lowest adjusted 90-day mortality for patients with sepsis. Understanding the reasons for disparities in outcome after sepsis may improve care and outcomes in diverse populations.
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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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Yan SM, Sherman RM, Taylor DJ, Nair DR, Bortvin AN, Schatz MC, McCoy RC. Local adaptation and archaic introgression shape global diversity at human structural variant loci. eLife 2021; 10:e67615. [PMID: 34528508 PMCID: PMC8492059 DOI: 10.7554/elife.67615] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2021] [Accepted: 09/14/2021] [Indexed: 12/13/2022] Open
Abstract
Large genomic insertions and deletions are a potent source of functional variation, but are challenging to resolve with short-read sequencing, limiting knowledge of the role of such structural variants (SVs) in human evolution. Here, we used a graph-based method to genotype long-read-discovered SVs in short-read data from diverse human genomes. We then applied an admixture-aware method to identify 220 SVs exhibiting extreme patterns of frequency differentiation - a signature of local adaptation. The top two variants traced to the immunoglobulin heavy chain locus, tagging a haplotype that swept to near fixation in certain southeast Asian populations, but is rare in other global populations. Further investigation revealed evidence that the haplotype traces to gene flow from Neanderthals, corroborating the role of immune-related genes as prominent targets of adaptive introgression. Our study demonstrates how recent technical advances can help resolve signatures of key evolutionary events that remained obscured within technically challenging regions of the genome.
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Affiliation(s)
- Stephanie M Yan
- Department of Biology, Johns Hopkins University, BaltimoreBaltimoreUnited States
| | - Rachel M Sherman
- Department of Computer Science, Johns Hopkins UniversityBaltimoreUnited States
| | - Dylan J Taylor
- Department of Biology, Johns Hopkins University, BaltimoreBaltimoreUnited States
| | - Divya R Nair
- Department of Biology, Johns Hopkins University, BaltimoreBaltimoreUnited States
| | - Andrew N Bortvin
- Department of Biology, Johns Hopkins University, BaltimoreBaltimoreUnited States
| | - Michael C Schatz
- Department of Biology, Johns Hopkins University, BaltimoreBaltimoreUnited States
- Department of Computer Science, Johns Hopkins UniversityBaltimoreUnited States
| | - Rajiv C McCoy
- Department of Biology, Johns Hopkins University, BaltimoreBaltimoreUnited States
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Irving-Pease EK, Muktupavela R, Dannemann M, Racimo F. Quantitative Human Paleogenetics: What can Ancient DNA Tell us About Complex Trait Evolution? Front Genet 2021; 12:703541. [PMID: 34422004 PMCID: PMC8371751 DOI: 10.3389/fgene.2021.703541] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2021] [Accepted: 07/08/2021] [Indexed: 12/13/2022] Open
Abstract
Genetic association data from national biobanks and large-scale association studies have provided new prospects for understanding the genetic evolution of complex traits and diseases in humans. In turn, genomes from ancient human archaeological remains are now easier than ever to obtain, and provide a direct window into changes in frequencies of trait-associated alleles in the past. This has generated a new wave of studies aiming to analyse the genetic component of traits in historic and prehistoric times using ancient DNA, and to determine whether any such traits were subject to natural selection. In humans, however, issues about the portability and robustness of complex trait inference across different populations are particularly concerning when predictions are extended to individuals that died thousands of years ago, and for which little, if any, phenotypic validation is possible. In this review, we discuss the advantages of incorporating ancient genomes into studies of trait-associated variants, the need for models that can better accommodate ancient genomes into quantitative genetic frameworks, and the existing limits to inferences about complex trait evolution, particularly with respect to past populations.
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Affiliation(s)
- Evan K. Irving-Pease
- Lundbeck Foundation GeoGenetics Centre, GLOBE Institute, University of Copenhagen, Copenhagen, Denmark
| | - Rasa Muktupavela
- Lundbeck Foundation GeoGenetics Centre, GLOBE Institute, University of Copenhagen, Copenhagen, Denmark
| | - Michael Dannemann
- Center for Genomics, Evolution and Medicine, Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Fernando Racimo
- Lundbeck Foundation GeoGenetics Centre, GLOBE Institute, University of Copenhagen, Copenhagen, Denmark
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McArthur E, Rinker DC, Capra JA. Quantifying the contribution of Neanderthal introgression to the heritability of complex traits. Nat Commun 2021; 12:4481. [PMID: 34294692 PMCID: PMC8298587 DOI: 10.1038/s41467-021-24582-y] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2020] [Accepted: 06/24/2021] [Indexed: 11/15/2022] Open
Abstract
Eurasians have ~2% Neanderthal ancestry, but we lack a comprehensive understanding of the genome-wide influence of Neanderthal introgression on modern human diseases and traits. Here, we quantify the contribution of introgressed alleles to the heritability of more than 400 diverse traits. We show that genomic regions in which detectable Neanderthal ancestry remains are depleted of heritability for all traits considered, except those related to skin and hair. Introgressed variants themselves are also depleted for contributions to the heritability of most traits. However, introgressed variants shared across multiple Neanderthal populations are enriched for heritability and have consistent directions of effect on several traits with potential relevance to human adaptation to non-African environments, including hair and skin traits, autoimmunity, chronotype, bone density, lung capacity, and menopause age. Integrating our results, we propose a model in which selection against introgressed functional variation was the dominant trend (especially for cognitive traits); however, for a few traits, introgressed variants provided beneficial variation via uni-directional (e.g., lightening skin color) or bi-directional (e.g., modulating immune response) effects. We lack a comprehensive understanding of how Neanderthal ancestry influences human traits. This study finds that regions with Neanderthal ancestry are broadly depleted of trait-associated variation; yet, introgressed variants likely contributed to human adaptation in a few traits, like skin color and immune response modulation.
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Affiliation(s)
- Evonne McArthur
- Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN, 37235, USA
| | - David C Rinker
- Department of Biological Sciences, Vanderbilt University, Nashville, TN, 37235, USA
| | - John A Capra
- Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN, 37235, USA. .,Department of Biological Sciences, Vanderbilt University, Nashville, TN, 37235, USA. .,Bakar Computational Health Sciences Institute and Department of Epidemiology and Statistics, University of California San Francisco, San Francisco, CA, 94107, USA.
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Amos W. Correlated and geographically predictable Neanderthal and Denisovan legacies are difficult to reconcile with a simple model based on inter-breeding. ROYAL SOCIETY OPEN SCIENCE 2021; 8:201229. [PMID: 34150310 PMCID: PMC8206685 DOI: 10.1098/rsos.201229] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/31/2020] [Accepted: 05/26/2021] [Indexed: 06/12/2023]
Abstract
Although the presence of archaic hominin legacies in humans is taken for granted, little attention has been given as to how the data fit with how humans colonized the world. Here, I show that Neanderthal and Denisovan legacies are strongly correlated and that inferred legacy size, like heterozygosity, exhibits a strong correlation with distance from Africa. Simulations confirm that, once created, legacy size is extremely stable: it may reduce through admixture with lower legacy populations but cannot increase significantly through neutral drift. Consequently, populations carrying the highest legacies are likely to be those whose ancestors inter-bred most with archaics. However, the populations with the highest legacies are globally scattered and are unified, not by having origins within the known Neanderthal range, but instead by living in locations that lie furthest from Africa. Furthermore, the Simons Genome Diversity Project data reveal two distinct correlations between Neanderthal and Denisovan legacies, one that starts in North Africa and increases west to east across Eurasia and into some parts of Oceania, and a second, much steeper trend that starts in Africa, peaking with the San and Ju/'hoansi and which, if extrapolated, predicts the large inferred legacies of both archaics found in Oceania/Australia. Similar 'double' trends are observed for the introgression statistic f 4 in a second large dataset published by Qin and Stoneking (Qin & Stoneking 2015 Mol. Biol. Evol. 32, 2665-2674 (doi:10.1093/molbev/msv141)). These trends appear at odds with simple models of how introgression occurred though more complicated patterns of introgression could potentially generate better fits. Moreover, substituting archaic genomes with those of great apes yields similar but biologically impossible signals of introgression, suggesting that the signals these metrics capture arise within humans and are largely independent of the test group. Interestingly, the data do appear to fit a speculative model in which the loss of diversity that occurred when humans moved further from Africa created a gradient in heterozygosity that in turn progressively reduced mutation rate such that populations furthest from Africa have diverged less from our common ancestor and hence from the archaics. In this light, the two distinct trends could be interpreted in terms of two 'out of Africa' events, an early one ending in Oceania and Australia and a later one that colonized Eurasia and the Americas.
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Affiliation(s)
- William Amos
- Department of Zoology, Cambridge University, Downing Street, Cambridge CB2 3EJ, UK
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Toll-Like Receptors: General Molecular and Structural Biology. J Immunol Res 2021; 2021:9914854. [PMID: 34195298 PMCID: PMC8181103 DOI: 10.1155/2021/9914854] [Citation(s) in RCA: 97] [Impact Index Per Article: 32.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2021] [Accepted: 05/19/2021] [Indexed: 12/11/2022] Open
Abstract
Background/Aim Toll-like receptors (TLRs) are pivotal biomolecules in the immune system. Today, we are all aware of the importance of TLRs in bridging innate and adaptive immune system to each other. The TLRs are activated through binding to damage/danger-associated molecular patterns (DAMPs), microbial/microbe-associated molecular patterns (MAMPs), pathogen-associated molecular patterns (PAMPs), and xenobiotic-associated molecular patterns (XAMPs). The immunogenetic molecules of TLRs have their own functions, structures, coreceptors, and ligands which make them unique. These properties of TLRs give us an opportunity to find out how we can employ this knowledge for ligand-drug discovery strategies to control TLRs functions and contribution, signaling pathways, and indirect activities. Hence, the authors of this paper have a deep observation on the molecular and structural biology of human TLRs (hTLRs). Methods and Materials To prepare this paper and fulfill our goals, different search engines (e.g., GOOGLE SCHOLAR), Databases (e.g., MEDLINE), and websites (e.g., SCOPUS) were recruited to search and find effective papers and investigations. To reach this purpose, we tried with papers published in the English language with no limitation in time. The iCite bibliometrics was exploited to check the quality of the collected publications. Results Each TLR molecule has its own molecular and structural biology, coreceptor(s), and abilities which make them unique or a complementary portion of the others. These immunogenetic molecules have remarkable roles and are much more important in different sections of immune and nonimmune systems rather than that we understand to date. Conclusion TLRs are suitable targets for ligand-drug discovery strategies to establish new therapeutics in the fields of infectious and autoimmune diseases, cancers, and other inflammatory diseases and disorders.
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Abstract
Recent studies suggest that admixture with archaic hominins played an important role in facilitating biological adaptations to new environments. For example, interbreeding with Denisovans facilitated the adaptation to high-altitude environments on the Tibetan Plateau. Specifically, the EPAS1 gene, a transcription factor that regulates the response to hypoxia, exhibits strong signatures of both positive selection and introgression from Denisovans in Tibetan individuals. Interestingly, despite being geographically closer to the Denisova Cave, East Asian populations do not harbor as much Denisovan ancestry as populations from Melanesia. Recently, two studies have suggested two independent waves of Denisovan admixture into East Asians, one of which is shared with South Asians and Oceanians. Here, we leverage data from EPAS1 in 78 Tibetan individuals to interrogate which of these two introgression events introduced the EPAS1 beneficial sequence into the ancestral population of Tibetans, and we use the distribution of introgressed segment lengths at this locus to infer the timing of the introgression and selection event. We find that the introgression event unique to East Asians most likely introduced the beneficial haplotype into the ancestral population of Tibetans around 48,700 (16,000-59,500) y ago, and selection started around 9,000 (2,500-42,000) y ago. Our estimates suggest that one of the most convincing examples of adaptive introgression is in fact selection acting on standing archaic variation.
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Contribution of Evolutionary Selected Immune Gene Polymorphism to Immune-Related Disorders: The Case of Lymphocyte Scavenger Receptors CD5 and CD6. Int J Mol Sci 2021; 22:ijms22105315. [PMID: 34070159 PMCID: PMC8158487 DOI: 10.3390/ijms22105315] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2021] [Revised: 05/07/2021] [Accepted: 05/11/2021] [Indexed: 01/23/2023] Open
Abstract
Pathogens are one of the main selective pressures that ancestral humans had to adapt to. Components of the immune response system have been preferential targets of natural selection in response to such pathogen-driven pressure. In turn, there is compelling evidence showing that positively selected immune gene variants conferring increased resistance to past or present infectious agents are today associated with increased risk for autoimmune or inflammatory disorders but decreased risk of cancer, the other side of the same coin. CD5 and CD6 are lymphocytic scavenger receptors at the interphase of the innate and adaptive immune responses since they are involved in both: (i) microbial-associated pattern recognition; and (ii) modulation of intracellular signals mediated by the clonotypic antigen-specific receptor present in T and B cells (TCR and BCR, respectively). Here, we review available information on CD5 and CD6 as targets of natural selection as well as on the role of CD5 and CD6 variation in autoimmunity and cancer.
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Yair S, Lee KM, Coop G. The timing of human adaptation from Neanderthal introgression. Genetics 2021; 218:iyab052. [PMID: 33787889 PMCID: PMC8128397 DOI: 10.1093/genetics/iyab052] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2020] [Accepted: 02/26/2021] [Indexed: 12/26/2022] Open
Abstract
Admixture has the potential to facilitate adaptation by providing alleles that are immediately adaptive in a new environment or by simply increasing the long-term reservoir of genetic diversity for future adaptation. A growing number of cases of adaptive introgression are being identified in species across the tree of life, however the timing of selection, and therefore the importance of the different evolutionary roles of admixture, is typically unknown. Here, we investigate the spatio-temporal history of selection favoring Neanderthal-introgressed alleles in modern human populations. Using both ancient and present-day samples of modern humans, we integrate the known demographic history of populations, namely population divergence and migration, with tests for selection. We model how a sweep placed along different branches of an admixture graph acts to modify the variance and covariance in neutral allele frequencies among populations at linked loci. Using a method based on this model of allele frequencies, we study previously identified cases of adaptive Neanderthal introgression. From these, we identify cases in which Neanderthal-introgressed alleles were quickly beneficial and other cases in which they persisted at low frequency for some time. For some of the alleles that persisted at low frequency, we show that selection likely independently favored them later on in geographically separated populations. Our work highlights how admixture with ancient hominins has contributed to modern human adaptation and contextualizes observed levels of Neanderthal ancestry in present-day and ancient samples.
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Affiliation(s)
- Sivan Yair
- Center for Population Biology, University of California, Davis, Davis, CA 95616, USA
- Department of Evolution and Ecology, University of California, Davis, Davis, CA 95616, USA
| | - Kristin M Lee
- Department of Biological Sciences, Columbia University, New York, NY 10027, USA
| | - Graham Coop
- Center for Population Biology, University of California, Davis, Davis, CA 95616, USA
- Department of Evolution and Ecology, University of California, Davis, Davis, CA 95616, USA
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New insights into human immunity from ancient genomics. Curr Opin Immunol 2021; 72:116-125. [PMID: 33992907 PMCID: PMC8452260 DOI: 10.1016/j.coi.2021.04.006] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2021] [Revised: 04/13/2021] [Accepted: 04/14/2021] [Indexed: 11/20/2022]
Abstract
Population genetic studies have clearly indicated that immunity and host defense are among the functions most frequently subject to natural selection, and increased our understanding of the biological relevance of the corresponding genes and their contribution to variable immune traits and diseases. Herein, we will focus on some recently studied forms of human adaptation to infectious agents, including hybridization with now-extinct hominins, such as Neanderthals and Denisovans, and admixture between modern human populations. These studies, which are partly enabled by the technological advances in the sequencing of DNA from ancient remains, provide new insight into the sources of immune response variation in contemporary humans, such as the recently reported link between Neanderthal heritage and susceptibility to severe COVID-19 disease. Furthermore, ancient DNA analyses, in both humans and pathogens, allow to measure the action of natural selection on immune genes across time and to reconstruct the impact of past epidemics on the evolution of human immunity.
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