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Maestri R, Perez-Lamarque B, Zhukova A, Morlon H. Recent evolutionary origin and localized diversity hotspots of mammalian coronaviruses. eLife 2024; 13:RP91745. [PMID: 39196812 PMCID: PMC11357359 DOI: 10.7554/elife.91745] [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] [Indexed: 08/30/2024] Open
Abstract
Several coronaviruses infect humans, with three, including the SARS-CoV2, causing diseases. While coronaviruses are especially prone to induce pandemics, we know little about their evolutionary history, host-to-host transmissions, and biogeography. One of the difficulties lies in dating the origination of the family, a particularly challenging task for RNA viruses in general. Previous cophylogenetic tests of virus-host associations, including in the Coronaviridae family, have suggested a virus-host codiversification history stretching many millions of years. Here, we establish a framework for robustly testing scenarios of ancient origination and codiversification versus recent origination and diversification by host switches. Applied to coronaviruses and their mammalian hosts, our results support a scenario of recent origination of coronaviruses in bats and diversification by host switches, with preferential host switches within mammalian orders. Hotspots of coronavirus diversity, concentrated in East Asia and Europe, are consistent with this scenario of relatively recent origination and localized host switches. Spillovers from bats to other species are rare, but have the highest probability to be towards humans than to any other mammal species, implicating humans as the evolutionary intermediate host. The high host-switching rates within orders, as well as between humans, domesticated mammals, and non-flying wild mammals, indicates the potential for rapid additional spreading of coronaviruses across the world. Our results suggest that the evolutionary history of extant mammalian coronaviruses is recent, and that cases of long-term virus-host codiversification have been largely over-estimated.
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Affiliation(s)
- Renan Maestri
- Institut de Biologie de l'École Normale Supérieure (IBENS), École Normale Supérieure, CNRS, INSERM, Université PSLParisFrance
- Departamento de Ecologia, Instituto de Biociências, Universidade Federal do Rio Grande do SulPorto AlegreBrazil
| | - Benoît Perez-Lamarque
- Institut de Biologie de l'École Normale Supérieure (IBENS), École Normale Supérieure, CNRS, INSERM, Université PSLParisFrance
- Institut de Systématique, Évolution, Biodiversité (ISYEB), Muséum national d’histoire naturelle, CNRS, Sorbonne Université, EPHE, UAParisFrance
| | - Anna Zhukova
- Institut Pasteur, Université Paris Cité, Bioinformatics and Biostatistics HubParisFrance
| | - Hélène Morlon
- Institut de Biologie de l'École Normale Supérieure (IBENS), École Normale Supérieure, CNRS, INSERM, Université PSLParisFrance
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Revell LJ. phytools 2.0: an updated R ecosystem for phylogenetic comparative methods (and other things). PeerJ 2024; 12:e16505. [PMID: 38192598 PMCID: PMC10773453 DOI: 10.7717/peerj.16505] [Citation(s) in RCA: 14] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2023] [Accepted: 10/31/2023] [Indexed: 01/10/2024] Open
Abstract
Phylogenetic comparative methods comprise the general endeavor of using an estimated phylogenetic tree (or set of trees) to make secondary inferences: about trait evolution, diversification dynamics, biogeography, community ecology, and a wide range of other phenomena or processes. Over the past ten years or so, the phytools R package has grown to become an important research tool for phylogenetic comparative analysis. phytools is a diverse contributed R library now consisting of hundreds of different functions covering a variety of methods and purposes in phylogenetic biology. As of the time of writing, phytools included functionality for fitting models of trait evolution, for reconstructing ancestral states, for studying diversification on trees, and for visualizing phylogenies, comparative data, and fitted models, as well numerous other tasks related to phylogenetic biology. Here, I describe some significant features of and recent updates to phytools, while also illustrating several popular workflows of the phytools computational software.
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Affiliation(s)
- Liam J. Revell
- Department of Biology, University of Massachusetts Boston, Boston, MA, USA
- Facultad de Ciencias, Universidad Católica de la Santísima Concepción, Concepción, Chile
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Forero-Muñoz NR, Muylaert RL, Seifert SN, Albery GF, Becker DJ, Carlson CJ, Poisot T. The coevolutionary mosaic of bat betacoronavirus emergence risk. Virus Evol 2023; 10:vead079. [PMID: 38361817 PMCID: PMC10868545 DOI: 10.1093/ve/vead079] [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: 02/21/2023] [Revised: 09/01/2023] [Accepted: 12/18/2023] [Indexed: 02/17/2024] Open
Abstract
Pathogen evolution is one of the least predictable components of disease emergence, particularly in nature. Here, building on principles established by the geographic mosaic theory of coevolution, we develop a quantitative, spatially explicit framework for mapping the evolutionary risk of viral emergence. Driven by interest in diseases like Severe Acute Respiratory Syndrome (SARS), Middle East Respiratory Syndrome (MERS), and Coronavirus disease 2019 (COVID-19), we examine the global biogeography of bat-origin betacoronaviruses, and find that coevolutionary principles suggest geographies of risk that are distinct from the hotspots and coldspots of host richness. Further, our framework helps explain patterns like a unique pool of merbecoviruses in the Neotropics, a recently discovered lineage of divergent nobecoviruses in Madagascar, and-most importantly-hotspots of diversification in southeast Asia, sub-Saharan Africa, and the Middle East that correspond to the site of previous zoonotic emergence events. Our framework may help identify hotspots of future risk that have also been previously overlooked, like West Africa and the Indian subcontinent, and may more broadly help researchers understand how host ecology shapes the evolution and diversity of pandemic threats.
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Affiliation(s)
- Norma R Forero-Muñoz
- Département de Sciences Biologiques, Université de Montréal, 1375 Avenue Thérèse-Lavoie-Roux, Montréal (Québec) H2V 0B3, Canada
- Québec Centre for Biodiversity Sciences
| | - Renata L Muylaert
- Molecular Epidemiology and Public Health Laboratory, School of Veterinary Science, Massey University, New Zealand
| | - Stephanie N Seifert
- Paul G. Allen School for Global Health, Washington State University, Pullman, WA, United States
| | - Gregory F Albery
- Department of Biology, Georgetown University, Washington, DC, USA
| | - Daniel J Becker
- Department of Biology, University of Oklahoma, Norman, OK, USA
| | - Colin J Carlson
- Department of Biology, Georgetown University, Washington, DC, USA
- Center for Global Health Science and Security, Georgetown University Medical Center, Washington, DC, USA
- Department of Microbiology and Immunology, Georgetown University Medical Center, Washington, DC, USA
| | - Timothée Poisot
- Département de Sciences Biologiques, Université de Montréal, 1375 Avenue Thérèse-Lavoie-Roux, Montréal (Québec) H2V 0B3, Canada
- Québec Centre for Biodiversity Sciences
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Cerri A, Bolatti EM, Zorec TM, Montani ME, Rimondi A, Hosnjak L, Casal PE, Di Domenica V, Barquez RM, Poljak M, Giri AA. Identification and characterization of novel alphacoronaviruses in Tadarida brasiliensis (Chiroptera, Molossidae) from Argentina: insights into recombination as a mechanism favoring bat coronavirus cross-species transmission. Microbiol Spectr 2023; 11:e0204723. [PMID: 37695063 PMCID: PMC10581097 DOI: 10.1128/spectrum.02047-23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2023] [Accepted: 07/14/2023] [Indexed: 09/12/2023] Open
Abstract
Bats are reservoirs of various coronaviruses that can jump between bat species or other mammalian hosts, including humans. This article explores coronavirus infection in three bat species (Tadarida brasiliensis, Eumops bonariensis, and Molossus molossus) of the family Molossidae from Argentina using whole viral metagenome analysis. Fecal samples of 47 bats from three semiurban or highly urbanized areas of the province of Santa Fe were investigated. After viral particle enrichment, total RNA was sequenced using the Illumina NextSeq 550 instrument; the reads were assembled into contigs and taxonomically and phylogenetically analyzed. Three novel complete Alphacoronavirus (AlphaCoV) genomes (Tb1-3) and two partial sequences were identified in T. brasiliensis (Tb4-5), and an additional four partial sequences were identified in M. molossus (Mm1-4). Phylogenomic analysis showed that the novel AlphaCoV clustered in two different lineages distinct from the 15 officially recognized AlphaCoV subgenera. Tb2 and Tb3 isolates appeared to be variants of the same virus, probably involved in a persistent infectious cycle within the T. brasiliensis colony. Using recombination analysis, we detected a statistically significant event in Spike gene, which was reinforced by phylogenetic tree incongruence analysis, involving novel Tb1 and AlphaCoVs identified in Eptesicus fuscus (family Vespertilionidae) from the U.S. The putative recombinant region is in the S1 subdomain of the Spike gene, encompassing the potential receptor-binding domain of AlphaCoVs. This study reports the first AlphaCoV genomes in molossids from the Americas and provides new insights into recombination as an important mode of evolution of coronaviruses involved in cross-species transmission. IMPORTANCE This study generated three novel complete AlphaCoV genomes (Tb1, Tb2, and Tb3 isolates) identified in individuals of Tadarida brasiliensis from Argentina, which showed two different evolutionary patterns and are the first to be reported in the family Molossidae in the Americas. The novel Tb1 isolate was found to be involved in a putative recombination event with alphacoronaviruses identified in bats of the genus Eptesicus from the U.S., whereas isolates Tb2 and Tb3 were found in different collection seasons and might be involved in persistent viral infections in the bat colony. These findings contribute to our knowledge of the global diversity of bat coronaviruses in poorly studied species and highlight the different evolutionary aspects of AlphaCoVs circulating in bat populations in Argentina.
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Affiliation(s)
- Agustina Cerri
- Human Virology Group, Rosario Institute of Molecular and Cellular Biology (IBR-CONICET), Rosario, Argentina
| | - Elisa M. Bolatti
- Human Virology Group, Rosario Institute of Molecular and Cellular Biology (IBR-CONICET), Rosario, Argentina
- Virology Area, Faculty of Biochemical and Pharmaceutical Sciences, National University of Rosario, Rosario, Argentina
- Bat Conservation Program of Argentina, San Miguel de Tucumán, Argentina
| | - Tomaz M. Zorec
- Institute of Microbiology and Immunology, Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia
| | - Maria E. Montani
- Bat Conservation Program of Argentina, San Miguel de Tucumán, Argentina
- Dr. Ángel Gallardo Provincial Museum of Natural Sciences, Rosario, Argentina
- Argentine Biodiversity Research Institute (PIDBA), Faculty of Natural Sciences, National University of Tucumán, San Miguel de Tucumán, Argentina
| | - Agustina Rimondi
- Institute of Virology and Technological Innovations (INTA/CONICET), Castelar, Argentina
- Robert Koch Institute, Berlin, Germany
| | - Lea Hosnjak
- Institute of Microbiology and Immunology, Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia
| | - Pablo E. Casal
- DETx MOL S.A. La Segunda Núcleo Corporate Building, Alvear, Argentina
| | - Violeta Di Domenica
- Human Virology Group, Rosario Institute of Molecular and Cellular Biology (IBR-CONICET), Rosario, Argentina
- Bat Conservation Program of Argentina, San Miguel de Tucumán, Argentina
| | - Ruben M. Barquez
- Bat Conservation Program of Argentina, San Miguel de Tucumán, Argentina
- Argentine Biodiversity Research Institute (PIDBA), Faculty of Natural Sciences, National University of Tucumán, San Miguel de Tucumán, Argentina
| | - Mario Poljak
- Institute of Microbiology and Immunology, Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia
| | - Adriana A. Giri
- Human Virology Group, Rosario Institute of Molecular and Cellular Biology (IBR-CONICET), Rosario, Argentina
- Virology Area, Faculty of Biochemical and Pharmaceutical Sciences, National University of Rosario, Rosario, Argentina
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Poisot T, Ouellet MA, Mollentze N, Farrell MJ, Becker DJ, Brierley L, Albery GF, Gibb RJ, Seifert SN, Carlson CJ. Network embedding unveils the hidden interactions in the mammalian virome. PATTERNS (NEW YORK, N.Y.) 2023; 4:100738. [PMID: 37409053 PMCID: PMC10318366 DOI: 10.1016/j.patter.2023.100738] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/02/2022] [Revised: 01/19/2023] [Accepted: 03/31/2023] [Indexed: 07/07/2023]
Abstract
Predicting host-virus interactions is fundamentally a network science problem. We develop a method for bipartite network prediction that combines a recommender system (linear filtering) with an imputation algorithm based on low-rank graph embedding. We test this method by applying it to a global database of mammal-virus interactions and thus show that it makes biologically plausible predictions that are robust to data biases. We find that the mammalian virome is under-characterized anywhere in the world. We suggest that future virus discovery efforts could prioritize the Amazon Basin (for its unique coevolutionary assemblages) and sub-Saharan Africa (for its poorly characterized zoonotic reservoirs). Graph embedding of the imputed network improves predictions of human infection from viral genome features, providing a shortlist of priorities for laboratory studies and surveillance. Overall, our study indicates that the global structure of the mammal-virus network contains a large amount of information that is recoverable, and this provides new insights into fundamental biology and disease emergence.
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Affiliation(s)
- Timothée Poisot
- Département de Sciences Biologiques, Université de Montréal, Montréal, QC, Canada
| | - Marie-Andrée Ouellet
- Département de Sciences Biologiques, Université de Montréal, Montréal, QC, Canada
| | - Nardus Mollentze
- School of Biodiversity, One Health and Veterinary Medicine, University of Glasgow, Glasgow, UK
- MRC – University of Glasgow Centre for Virus Research, Glasgow, UK
| | - Maxwell J. Farrell
- Department of Ecology and Evolutionary Biology, University of Toronto, Toronto, ON, Canada
| | | | - Liam Brierley
- Department of Health Data Science, University of Liverpool, Liverpool, UK
| | | | - Rory J. Gibb
- Center for Biodiversity & Environment Research, University College, London, UK
| | - Stephanie N. Seifert
- Paul G. Allen School for Global Health, Washington State University, Pullman, WA, USA
| | - Colin J. Carlson
- Center for Global Health Science and Security, Georgetown University, Washington, DC, USA
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Caraballo DA, Sabio MS, Colombo VC, Piccirilli MG, Vico L, Hirmas Riade SM, Campos J, Martínez G, Beltrán F, Baumeister E, Cisterna DM. The Role of Molossidae and Vespertilionidae in Shaping the Diversity of Alphacoronaviruses in the Americas. Microbiol Spectr 2022; 10:e0314322. [PMID: 36222689 PMCID: PMC9769993 DOI: 10.1128/spectrum.03143-22] [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: 08/10/2022] [Accepted: 09/20/2022] [Indexed: 01/10/2023] Open
Abstract
Bats are reservoirs of diverse coronaviruses (CoVs), including progenitors of severe acute respiratory syndrome CoV (SARS-CoV) and SARS-CoV-2. In the Americas, there is a contrast between alphacoronaviruses (alphaCoVs) and betaCoVs: while cospeciation prevails in the latter, alphaCoV evolution is dominated by deep and recent host switches. AlphaCoV lineages are maintained by two different bat family groups, Phyllostomidae and Vespertilionidae plus Molossidae. In this study, we used a Bayesian framework to analyze the process of diversification of the lineages maintained by Molossidae and Vespertilionidae, adding novel CoV sequences from Argentina. We provide evidence that the observed CoV diversity in these two bat families is shaped by their geographic distribution and that CoVs exhibit clustering at the level of bat genera. We discuss the causes of the cocirculation of two independent clades in Molossus and Tadarida as well as the role of Myotis as the ancestral host and a major evolutionary reservoir of alphaCoVs across the continent. Although more CoV sampling efforts are needed, these findings contribute to a better knowledge of the diversity of alphaCoVs and the links between bat host species. IMPORTANCE Bats harbor the largest diversity of coronaviruses among mammals. In the Americas, seven alphacoronavirus lineages circulate among bats. Three of these lineages are shared by members of two bat families: Vespertilionidae and Molossidae. Uncovering the relationships between these coronaviruses can help us to understand patterns of cross-species transmission and, ultimately, which hosts are more likely to be involved in spillover events. We found that two different lineages cocirculate among the bat genera Molossus and Tadarida, which share roosts and have common viral variants. The bat genus Myotis functions as a reservoir of coronavirus diversity and, as such, is a key host. Although there were some spillovers recorded, there is a strong host association, showing that once a successful host jump takes place, it is transmitted onward to members of the same bat genus.
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Affiliation(s)
- Diego A. Caraballo
- CONICET-Universidad de Buenos Aires, Instituto de Ecología, Genética y Evolución de Buenos Aires (IEGEBA), Ciudad Universitaria-Pabellón II, Ciudad Autónoma de Buenos Aires, Argentina
- Universidad de Buenos Aires, Facultad de Ciencias Exactas y Naturales, Buenos Aires, Argentina
| | - María S. Sabio
- Servicio de Neurovirosis, Instituto Nacional de Enfermedades Infecciosas, Administración Nacional de Laboratorios e Institutos de Salud (ANLIS), Dr. Carlos G. Malbrán, Ciudad Autónoma de Buenos Aires, Argentina
| | - Valeria C. Colombo
- Servicio de Neurovirosis, Instituto Nacional de Enfermedades Infecciosas, Administración Nacional de Laboratorios e Institutos de Salud (ANLIS), Dr. Carlos G. Malbrán, Ciudad Autónoma de Buenos Aires, Argentina
- Evolutionary Ecology Group, Department of Biology, University of Antwerp, Antwerp, Belgium
| | - María Guadalupe Piccirilli
- Servicio de Neurovirosis, Instituto Nacional de Enfermedades Infecciosas, Administración Nacional de Laboratorios e Institutos de Salud (ANLIS), Dr. Carlos G. Malbrán, Ciudad Autónoma de Buenos Aires, Argentina
| | - Lorena Vico
- Departamento de Zoonosis Urbanas, Avellaneda, Provincia de Buenos Aires, Argentina
| | - Stella Maris Hirmas Riade
- Servicio de Neurovirosis, Instituto Nacional de Enfermedades Infecciosas, Administración Nacional de Laboratorios e Institutos de Salud (ANLIS), Dr. Carlos G. Malbrán, Ciudad Autónoma de Buenos Aires, Argentina
| | - Josefina Campos
- Unidad de Genómica y Bioinformática, Administración Nacional de Laboratorios e Institutos de Salud (ANLIS), Dr. Carlos G. Malbrán, Ciudad Autónoma de Buenos Aires, Argentina
| | - Gustavo Martínez
- Departamento de Zoonosis Urbanas, Avellaneda, Provincia de Buenos Aires, Argentina
| | - Fernando Beltrán
- Instituto de Zoonosis Dr. Luis Pasteur, Ciudad Autónoma de Buenos Aires, Argentina
| | - Elsa Baumeister
- Servicio de Virosis Respiratorias, Instituto Nacional de Enfermedades Infecciosas, Administración Nacional de Laboratorios e Institutos de Salud (ANLIS), Dr. Carlos G. Malbrán, Ciudad Autónoma de Buenos Aires, Argentina
| | - Daniel M. Cisterna
- Servicio de Neurovirosis, Instituto Nacional de Enfermedades Infecciosas, Administración Nacional de Laboratorios e Institutos de Salud (ANLIS), Dr. Carlos G. Malbrán, Ciudad Autónoma de Buenos Aires, Argentina
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