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Barquera R, Del Castillo-Chávez O, Nägele K, Pérez-Ramallo P, Hernández-Zaragoza DI, Szolek A, Rohrlach AB, Librado P, Childebayeva A, Bianco RA, Penman BS, Acuña-Alonzo V, Lucas M, Lara-Riegos JC, Moo-Mezeta ME, Torres-Romero JC, Roberts P, Kohlbacher O, Warinner C, Krause J. Ancient genomes reveal insights into ritual life at Chichén Itzá. Nature 2024; 630:912-919. [PMID: 38867041 PMCID: PMC11208145 DOI: 10.1038/s41586-024-07509-7] [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: 03/30/2023] [Accepted: 05/02/2024] [Indexed: 06/14/2024]
Abstract
The ancient city of Chichén Itzá in Yucatán, Mexico, was one of the largest and most influential Maya settlements during the Late and Terminal Classic periods (AD 600-1000) and it remains one of the most intensively studied archaeological sites in Mesoamerica1-4. However, many questions about the social and cultural use of its ceremonial spaces, as well as its population's genetic ties to other Mesoamerican groups, remain unanswered2. Here we present genome-wide data obtained from 64 subadult individuals dating to around AD 500-900 that were found in a subterranean mass burial near the Sacred Cenote (sinkhole) in the ceremonial centre of Chichén Itzá. Genetic analyses showed that all analysed individuals were male and several individuals were closely related, including two pairs of monozygotic twins. Twins feature prominently in Mayan and broader Mesoamerican mythology, where they embody qualities of duality among deities and heroes5, but until now they had not been identified in ancient Mayan mortuary contexts. Genetic comparison to present-day people in the region shows genetic continuity with the ancient inhabitants of Chichén Itzá, except at certain genetic loci related to human immunity, including the human leukocyte antigen complex, suggesting signals of adaptation due to infectious diseases introduced to the region during the colonial period.
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Affiliation(s)
- Rodrigo Barquera
- Department of Archaeogenetics, Max-Planck Institute for Evolutionary Anthropology (MPI-EVA), Leipzig, Germany.
- Molecular Genetics Laboratory, Escuela Nacional de Antropología e Historia (ENAH), Mexico City, Mexico.
| | - Oana Del Castillo-Chávez
- Centro INAH Yucatán, Instituto Nacional de Antropología e Historia (INAH), Mérida, Yucatán, Mexico.
| | - Kathrin Nägele
- Department of Archaeogenetics, Max-Planck Institute for Evolutionary Anthropology (MPI-EVA), Leipzig, Germany
| | - Patxi Pérez-Ramallo
- isoTROPIC Research Group, Max Planck Institute of Geoanthropology, Jena, Germany
- University of the Basque Country (EHU), San Sebastián-Donostia, Spain
- Department of Archaeology, Max Planck Institute of Geoanthropology, Jena, Germany
- Department of Archaeology and Cultural History, University Museum, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
| | - Diana Iraíz Hernández-Zaragoza
- Department of Archaeogenetics, Max-Planck Institute for Evolutionary Anthropology (MPI-EVA), Leipzig, Germany
- Molecular Genetics Laboratory, Escuela Nacional de Antropología e Historia (ENAH), Mexico City, Mexico
| | - András Szolek
- Applied Bioinformatics, Dept. for Computer Science, University of Tübingen, Tübingen, Germany
- Department of Immunology, Interfaculty Institute for Cell Biology, University of Tübingen, Tübingen, Germany
| | - Adam Benjamin Rohrlach
- Department of Archaeogenetics, Max-Planck Institute for Evolutionary Anthropology (MPI-EVA), Leipzig, Germany
- School of Computer and Mathematical Sciences, University of Adelaide, Adelaide, South Australia, Australia
| | - Pablo Librado
- Institut de Biologia Evolutiva (CSIC-Universitat Pompeu Fabra), Barcelona, Spain
| | - Ainash Childebayeva
- Department of Archaeogenetics, Max-Planck Institute for Evolutionary Anthropology (MPI-EVA), Leipzig, Germany
- Department of Anthropology, University of Texas at Austin, Austin, TX, USA
| | - Raffaela Angelina Bianco
- Department of Archaeogenetics, Max-Planck Institute for Evolutionary Anthropology (MPI-EVA), Leipzig, Germany
| | - Bridget S Penman
- The Zeeman Institute and the School of Life Sciences, University of Warwick, Coventry, UK
| | - Victor Acuña-Alonzo
- Molecular Genetics Laboratory, Escuela Nacional de Antropología e Historia (ENAH), Mexico City, Mexico
| | - Mary Lucas
- isoTROPIC Research Group, Max Planck Institute of Geoanthropology, Jena, Germany
- Department of Archaeology, Max Planck Institute of Geoanthropology, Jena, Germany
| | | | | | | | - Patrick Roberts
- isoTROPIC Research Group, Max Planck Institute of Geoanthropology, Jena, Germany
- Department of Archaeology, Max Planck Institute of Geoanthropology, Jena, Germany
| | - Oliver Kohlbacher
- Applied Bioinformatics, Dept. for Computer Science, University of Tübingen, Tübingen, Germany
- Institute for Bioinformatics and Medical Informatics, University of Tübingen, Tübingen, Germany
- Quantitative Biology Center, University of Tübingen, Tübingen, Germany
- Translational Bioinformatics, University Hospital Tübingen, Tübingen, Germany
| | - Christina Warinner
- Department of Archaeogenetics, Max-Planck Institute for Evolutionary Anthropology (MPI-EVA), Leipzig, Germany
- Department of Anthropology, Harvard University, Cambridge, MA, USA
| | - Johannes Krause
- Department of Archaeogenetics, Max-Planck Institute for Evolutionary Anthropology (MPI-EVA), Leipzig, Germany.
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Basir HRG, Majzoobi MM, Ebrahimi S, Noroozbeygi M, Hashemi SH, Keramat F, Mamani M, Eini P, Alizadeh S, Solgi G, Di D. Susceptibility and Severity of COVID-19 Are Both Associated With Lower Overall Viral–Peptide Binding Repertoire of HLA Class I Molecules, Especially in Younger People. Front Immunol 2022; 13:891816. [PMID: 35911710 PMCID: PMC9331187 DOI: 10.3389/fimmu.2022.891816] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2022] [Accepted: 06/10/2022] [Indexed: 12/24/2022] Open
Abstract
An important number of studies have been conducted on the potential association between human leukocyte antigen (HLA) genes and COVID-19 susceptibility and severity since the beginning of the pandemic. However, case–control and peptide-binding prediction methods tended to provide inconsistent conclusions on risk and protective HLA alleles, whereas some researchers suggested the importance of considering the overall capacity of an individual’s HLA Class I molecules to present SARS-CoV-2-derived peptides. To close the gap between these approaches, we explored the distributions of HLA-A, -B, -C, and -DRB1 1st-field alleles in 142 Iranian patients with COVID-19 and 143 ethnically matched healthy controls, and applied in silico predictions of bound viral peptides for each individual’s HLA molecules. Frequency comparison revealed the possible predisposing roles of HLA-A*03, B*35, and DRB1*16 alleles and the protective effect of HLA-A*32, B*58, B*55, and DRB1*14 alleles in the viral infection. None of these results remained significant after multiple testing corrections, except HLA-A*03, and no allele was associated with severity, either. Compared to peptide repertoires of individual HLA molecules that are more likely population-specific, the overall coverage of virus-derived peptides by one’s HLA Class I molecules seemed to be a more prominent factor associated with both COVID-19 susceptibility and severity, which was independent of affinity index and threshold chosen, especially for people under 60 years old. Our results highlight the effect of the binding capacity of different HLA Class I molecules as a whole, and the more essential role of HLA-A compared to HLA-B and -C genes in immune responses against SARS-CoV-2 infection.
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Affiliation(s)
- Hamid Reza Ghasemi Basir
- Department of Pathology, School of Medicine, Hamadan University of Medical Sciences, Hamadan, Iran
| | | | - Samaneh Ebrahimi
- Department of Immunology, School of Medicine, Hamadan University of Medical Sciences, Hamadan, Iran
| | - Mina Noroozbeygi
- Department of Immunology, School of Medicine, Hamadan University of Medical Sciences, Hamadan, Iran
| | - Seyed Hamid Hashemi
- Brucellosis Research Centre, Hamadan University of Medical Sciences, Hamadan, Iran
| | - Fariba Keramat
- Brucellosis Research Centre, Hamadan University of Medical Sciences, Hamadan, Iran
| | - Mojgan Mamani
- Brucellosis Research Centre, Hamadan University of Medical Sciences, Hamadan, Iran
| | - Peyman Eini
- Brucellosis Research Centre, Hamadan University of Medical Sciences, Hamadan, Iran
| | - Saeed Alizadeh
- Department of Radiology, School of Medicine, Hamadan University of Medical Sciences, Hamadan, Iran
| | - Ghasem Solgi
- Department of Immunology, School of Medicine, Hamadan University of Medical Sciences, Hamadan, Iran
- *Correspondence: Ghasem Solgi, ; Da Di,
| | - Da Di
- Anthropology Unit, Department of Genetics and Evolution, University of Geneva, Geneva, Switzerland
- *Correspondence: Ghasem Solgi, ; Da Di,
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Buckingham LJ, Ashby B. Coevolutionary theory of hosts and parasites. J Evol Biol 2022; 35:205-224. [PMID: 35030276 PMCID: PMC9305583 DOI: 10.1111/jeb.13981] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2021] [Revised: 12/14/2021] [Accepted: 01/05/2022] [Indexed: 11/30/2022]
Abstract
Host and parasite evolution are closely intertwined, with selection for adaptations and counter‐adaptations forming a coevolutionary feedback loop. Coevolutionary dynamics are often difficult to intuit due to these feedbacks and are hard to demonstrate empirically in most systems. Theoretical models have therefore played a crucial role in shaping our understanding of host–parasite coevolution. Theoretical models vary widely in their assumptions, approaches and aims, and such variety makes it difficult, especially for non‐theoreticians and those new to the field, to: (1) understand how model approaches relate to one another; (2) identify key modelling assumptions; (3) determine how model assumptions relate to biological systems; and (4) reconcile the results of different models with contrasting assumptions. In this review, we identify important model features, highlight key results and predictions and describe how these pertain to model assumptions. We carry out a literature survey of theoretical studies published since the 1950s (n = 219 papers) to support our analysis. We identify two particularly important features of models that tend to have a significant qualitative impact on the outcome of host–parasite coevolution: population dynamics and the genetic basis of infection. We also highlight the importance of other modelling features, such as stochasticity and whether time proceeds continuously or in discrete steps, that have received less attention but can drastically alter coevolutionary dynamics. We finish by summarizing recent developments in the field, specifically the trend towards greater model complexity, and discuss likely future directions for research.
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Affiliation(s)
- Lydia J Buckingham
- Department of Mathematical Sciences, University of Bath, Bath, UK, BA2 7AY.,Milner Centre for Evolution, University of Bath, Bath, UK, BA2 7AY
| | - Ben Ashby
- Department of Mathematical Sciences, University of Bath, Bath, UK, BA2 7AY.,Milner Centre for Evolution, University of Bath, Bath, UK, BA2 7AY
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Di D, Nunes JM, Jiang W, Sanchez-Mazas A. Like Wings of a Bird: Functional Divergence and Complementarity between HLA-A and HLA-B Molecules. Mol Biol Evol 2021; 38:1580-1594. [PMID: 33320202 PMCID: PMC8355449 DOI: 10.1093/molbev/msaa325] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
Human leukocyte antigen (HLA) genes are among the most polymorphic of our genome, as a likely consequence of balancing selection related to their central role in adaptive immunity. HLA-A and HLA-B genes were recently suggested to evolve through a model of joint divergent asymmetric selection conferring all human populations, including those with severe loss of diversity, an equivalent immune potential. However, the mechanisms by which these two genes might undergo joint evolution while displaying very distinct allelic profiles in populations are still unknown. To address this issue, we carried out extensive data analyses (among which factorial correspondence analysis and linear modeling) on 2,909 common and rare HLA-A, HLA-B, and HLA-C alleles and 200,000 simulated pathogenic peptides by taking into account sequence variation, predicted peptide-binding affinity and HLA allele frequencies in 123 populations worldwide. Our results show that HLA-A and HLA-B (but not HLA-C) molecules maintain considerable functional divergence in almost all populations, which likely plays an instrumental role in their immune defense. We also provide robust evidence of functional complementarity between HLA-A and HLA-B molecules, which display asymmetric relationships in terms of amino acid diversity at both inter- and intraprotein levels and in terms of promiscuous or fastidious peptide-binding specificities. Like two wings of a flying bird, the functional complementarity of HLA-A and HLA-B is a perfect example, in our genome, of duplicated genes sharing their capacity of assuming common vital functions while being submitted to complex and sometimes distinct environmental pressures.
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Affiliation(s)
- Da Di
- Laboratory of Anthropology, Genetics and Peopling History (AGP Lab), Department of Genetics and Evolution-Anthropology Unit, University of Geneva, Geneva, Switzerland
| | - Jose Manuel Nunes
- Laboratory of Anthropology, Genetics and Peopling History (AGP Lab), Department of Genetics and Evolution-Anthropology Unit, University of Geneva, Geneva, Switzerland.,Institute of Genetics and Genomics in Geneva (IGE3), University of Geneva Medical Centre (CMU), Geneva, Switzerland
| | - Wei Jiang
- Department of Plant Sciences, University of Cambridge, Cambridge, United Kingdom
| | - Alicia Sanchez-Mazas
- Laboratory of Anthropology, Genetics and Peopling History (AGP Lab), Department of Genetics and Evolution-Anthropology Unit, University of Geneva, Geneva, Switzerland.,Institute of Genetics and Genomics in Geneva (IGE3), University of Geneva Medical Centre (CMU), Geneva, Switzerland
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Ebert D, Fields PD. Host-parasite co-evolution and its genomic signature. Nat Rev Genet 2020; 21:754-768. [PMID: 32860017 DOI: 10.1038/s41576-020-0269-1] [Citation(s) in RCA: 73] [Impact Index Per Article: 18.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/16/2020] [Indexed: 01/14/2023]
Abstract
Studies in diverse biological systems have indicated that host-parasite co-evolution is responsible for the extraordinary genetic diversity seen in some genomic regions, such as major histocompatibility (MHC) genes in jawed vertebrates and resistance genes in plants. This diversity is believed to evolve under balancing selection on hosts by parasites. However, the mechanisms that link the genomic signatures in these regions to the underlying co-evolutionary process are only slowly emerging. We still lack a clear picture of the co-evolutionary concepts and of the genetic basis of the co-evolving phenotypic traits in the interacting antagonists. Emerging genomic tools that provide new options for identifying underlying genes will contribute to a fuller understanding of the co-evolutionary process.
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Affiliation(s)
- Dieter Ebert
- Department of Environmental Sciences, Zoology, University of Basel, Basel, Switzerland. .,Wissenschaftskolleg zu Berlin, Berlin, Germany.
| | - Peter D Fields
- Department of Environmental Sciences, Zoology, University of Basel, Basel, Switzerland
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