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Vullioud C, Benhaiem S, Meneghini D, Szyf M, Shao Y, Hofer H, East ML, Fickel J, Weyrich A. Epigenetic signatures of social status in wild female spotted hyenas (Crocuta crocuta). Commun Biol 2024; 7:313. [PMID: 38548860 PMCID: PMC10978994 DOI: 10.1038/s42003-024-05926-y] [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: 08/01/2023] [Accepted: 02/16/2024] [Indexed: 04/01/2024] Open
Abstract
In mammalian societies, dominance hierarchies translate into inequalities in health, reproductive performance and survival. DNA methylation is thought to mediate the effects of social status on gene expression and phenotypic outcomes, yet a study of social status-specific DNA methylation profiles in different age classes in a wild social mammal is missing. We tested for social status signatures in DNA methylation profiles in wild female spotted hyenas (Crocuta crocuta), cubs and adults, using non-invasively collected gut epithelium samples. In spotted hyena clans, female social status influences access to resources, foraging behavior, health, reproductive performance and survival. We identified 149 differentially methylated regions between 42 high- and low-ranking female spotted hyenas (cubs and adults). Differentially methylated genes were associated with energy conversion, immune function, glutamate receptor signalling and ion transport. Our results provide evidence that socio-environmental inequalities are reflected at the molecular level in cubs and adults in a wild social mammal.
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Affiliation(s)
- Colin Vullioud
- Department of Evolutionary Genetics, Leibniz-Institute for Zoo and Wildlife Research (IZW), Berlin, Germany
| | - Sarah Benhaiem
- Department of Ecological Dynamics, Leibniz-Institute for Zoo and Wildlife Research (IZW), Berlin, Germany
| | - Dorina Meneghini
- Department of Evolutionary Genetics, Leibniz-Institute for Zoo and Wildlife Research (IZW), Berlin, Germany
| | | | - Yong Shao
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
| | - Heribert Hofer
- Leibniz Institute for Zoo and Wildlife Research (IZW), Berlin, Germany
- Department of Veterinary Medicine, Freie Universität Berlin, Berlin, Germany
- Department of Biology, Chemistry, Pharmacy, Freie Universität Berlin, Berlin, Germany
| | - Marion L East
- Department of Ecological Dynamics, Leibniz-Institute for Zoo and Wildlife Research (IZW), Berlin, Germany
| | - Jörns Fickel
- Department of Evolutionary Genetics, Leibniz-Institute for Zoo and Wildlife Research (IZW), Berlin, Germany
- University of Potsdam, Potsdam, Germany
| | - Alexandra Weyrich
- Department of Evolutionary Genetics, Leibniz-Institute for Zoo and Wildlife Research (IZW), Berlin, Germany.
- German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Leipzig, Germany.
- Universität Leipzig, Leipzig, Germany.
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2
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Olarte-Castillo XA, Plimpton L, McQueary H, Sun Y, Yu YT, Cover S, Richardson AN, Jin Y, Grenier JK, Cummings KJ, Bunting E, Diuk-Wasser M, Needle D, Schuler K, Stanhope MJ, Whittaker G, Goodman LB. Detection and characterization of novel luchacoviruses, genus Alphacoronavirus, in saliva and feces of meso-carnivores in the northeastern United States. J Virol 2023; 97:e0082923. [PMID: 37882520 PMCID: PMC10688340 DOI: 10.1128/jvi.00829-23] [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: 06/03/2023] [Accepted: 10/08/2023] [Indexed: 10/27/2023] Open
Abstract
IMPORTANCE Several coronaviruses (CoVs) have been detected in domesticated, farmed, and wild meso-carnivores, causing a wide range of diseases and infecting diverse species, highlighting their important but understudied role in the epidemiology of these viruses. Assessing the viral diversity hosted in wildlife species is essential to understand their significance in the cross-species transmission of CoVs. Our focus here was on CoV discovery in meso-carnivores in the Northeast United States as a potential "hotspot" area with high density of humans and urban wildlife. This study identifies novel alphacoronaviruses circulating in multiple free-ranging wild and domestic species in this area and explores their potential epidemiological importance based on regions of the Spike gene, which are relevant for virus-host interactions.
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Affiliation(s)
- Ximena A. Olarte-Castillo
- Department of Microbiology & Immunology, College of Veterinary Medicine, Cornell University, Ithaca, New York, USA
- James A. Baker Institute for Animal Health, Cornell University College of Veterinary Medicine, Ithaca, New York, USA
| | - Laura Plimpton
- Department of Ecology, Evolution and Environmental Biology, Columbia University, New York, USA
| | - Holly McQueary
- James A. Baker Institute for Animal Health, Cornell University College of Veterinary Medicine, Ithaca, New York, USA
- Department of Public and Ecosystem Health, College of Veterinary Medicine, Cornell University, Ithaca, New York, USA
| | - Yining Sun
- James A. Baker Institute for Animal Health, Cornell University College of Veterinary Medicine, Ithaca, New York, USA
- Department of Public and Ecosystem Health, College of Veterinary Medicine, Cornell University, Ithaca, New York, USA
| | - Y. Tina Yu
- James A. Baker Institute for Animal Health, Cornell University College of Veterinary Medicine, Ithaca, New York, USA
- Department of Public and Ecosystem Health, College of Veterinary Medicine, Cornell University, Ithaca, New York, USA
| | - Sarah Cover
- James A. Baker Institute for Animal Health, Cornell University College of Veterinary Medicine, Ithaca, New York, USA
- Department of Public and Ecosystem Health, College of Veterinary Medicine, Cornell University, Ithaca, New York, USA
| | - Amy N. Richardson
- James A. Baker Institute for Animal Health, Cornell University College of Veterinary Medicine, Ithaca, New York, USA
- Department of Public and Ecosystem Health, College of Veterinary Medicine, Cornell University, Ithaca, New York, USA
| | - Yuhan Jin
- James A. Baker Institute for Animal Health, Cornell University College of Veterinary Medicine, Ithaca, New York, USA
- Department of Public and Ecosystem Health, College of Veterinary Medicine, Cornell University, Ithaca, New York, USA
| | - Jennifer K. Grenier
- Transcriptional Regulation and Expression Facility, Biotechnology Resource Center, Institute of Biotechnology, Cornell University, Ithaca, New York, USA
| | - Kevin J. Cummings
- Department of Public and Ecosystem Health, College of Veterinary Medicine, Cornell University, Ithaca, New York, USA
| | - Elizabeth Bunting
- Department of Public and Ecosystem Health, College of Veterinary Medicine, Cornell University, Ithaca, New York, USA
| | - Maria Diuk-Wasser
- Department of Ecology, Evolution and Environmental Biology, Columbia University, New York, USA
| | - David Needle
- New Hampshire Veterinary Diagnostic Laboratory, College of Life Sciences and Agriculture, University of New Hampshire, Durham, USA
| | - Krysten Schuler
- Cornell Wildlife Health Lab, Animal Health Diagnostic Center, Cornell College of Veterinary Medicine, Ithaca, New York, USA
| | - Michael J. Stanhope
- Department of Public and Ecosystem Health, College of Veterinary Medicine, Cornell University, Ithaca, New York, USA
| | - Gary Whittaker
- Department of Microbiology & Immunology, College of Veterinary Medicine, Cornell University, Ithaca, New York, USA
- Department of Public and Ecosystem Health, College of Veterinary Medicine, Cornell University, Ithaca, New York, USA
| | - Laura B. Goodman
- James A. Baker Institute for Animal Health, Cornell University College of Veterinary Medicine, Ithaca, New York, USA
- Department of Public and Ecosystem Health, College of Veterinary Medicine, Cornell University, Ithaca, New York, USA
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3
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Liu Y, Chen D, Wang Y, Li X, Qiu Y, Zheng M, Song Y, Li G, Song C, Liu T, Zhang Y, Guo JT, Lin H, Zhao X. Characterization of CCoV-HuPn-2018 spike protein-mediated viral entry. J Virol 2023; 97:e0060123. [PMID: 37676001 PMCID: PMC10537617 DOI: 10.1128/jvi.00601-23] [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: 04/23/2023] [Accepted: 07/25/2023] [Indexed: 09/08/2023] Open
Abstract
Canine coronavirus-human pneumonia-2018 (CCoV-HuPn-2018) was recently isolated from a child with pneumonia. This novel human pathogen resulted from cross-species transmission of a canine coronavirus. It has been known that CCoV-HuPn-2018 uses aminopeptidase N (APN) from canines, felines, and porcines, but not humans, as functional receptors for cell entry. The molecular mechanism of cell entry in CCoV-HuPn-2018 remains poorly understood. In this study, we demonstrated that among the nine APN orthologs tested, the APN of the Mexican free-tailed bat could also efficiently support CCoV-HuPn-2018 spike (S) protein-mediated entry, raising the possibility that bats may also be an alternative host epidemiologically important for the transmission of this virus. The glycosylation at residue N747 of canine APN is critical for its receptor activity. The gain of glycosylation at the corresponding residues in human and rabbit APNs converted them to functional receptors for CCoV-HuPn-2018. Interestingly, the CCoV-HuPn-2018 spike protein pseudotyped virus infected multiple human cancer cell lines in a human APN-independent manner, whereas sialic acid appeared to facilitate the entry of the pseudotyped virus into human cancer cells. Moreover, while host cell surface proteases trypsin and TMPRSS2 did not promote the entry of CCoV-HuPn-2018, endosomal proteases cathepsin L and B are required for the entry of CCoV-HuPn-2018 in a pH-dependent manner. IFITMs and LY6E are host restriction factors for the CCoV-HuPn-2018 entry. Our results thus suggest that CCoV-HuPn-2018 has not yet evolved to be an efficient human pathogen. Collectively, this study helps us understand the cell tropism, receptor usage, cross-species transmission, natural reservoir, and pathogenesis of this potential human coronavirus. IMPORTANCE Viral entry is driven by the interaction between the viral spike protein and its specific cellular receptor, which determines cell tropism and host range and is the major constraint to interspecies transmission of coronaviruses. Aminopeptidase N (APN; also called CD13) is a cellular receptor for HCoV-229E, the newly discovered canine coronavirus-human pneumonia-2018 (CCoV-HuPn-2018), and many other animal alphacoronaviruses. We examined the receptor activity of nine APN orthologs and found that CCoV-HuPn-2018 utilizes APN from a broad range of animal species, including bats but not humans, to enter host cells. To our surprise, we found that CCoV-HuPn-2018 spike protein pseudotyped viral particles successfully infected multiple human hepatoma-derived cell lines and a lung cancer cell line, which is independent of the expression of human APN. Our findings thus provide mechanistic insight into the natural hosts and interspecies transmission of CCoV-HuPn-2018-like coronaviruses.
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Affiliation(s)
- Yongmei Liu
- Beijing Key Laboratory of Emerging Infectious Diseases, Institute of Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing, China
- Beijing Institute of Infectious Diseases, Beijing, China
- National Center for Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing, China
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Beijing, China
| | - Danying Chen
- Beijing Key Laboratory of Emerging Infectious Diseases, Institute of Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing, China
- Beijing Institute of Infectious Diseases, Beijing, China
- National Center for Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing, China
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Beijing, China
| | - Yuanyuan Wang
- Beijing Key Laboratory of Emerging Infectious Diseases, Institute of Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing, China
- Peking University Ditan Teaching Hospital, Beijing, China
| | - Xinglin Li
- Beijing Key Laboratory of Emerging Infectious Diseases, Institute of Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing, China
- Beijing Institute of Infectious Diseases, Beijing, China
- National Center for Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing, China
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Beijing, China
| | - Yaruo Qiu
- Beijing Key Laboratory of Emerging Infectious Diseases, Institute of Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing, China
- Peking University Ditan Teaching Hospital, Beijing, China
| | - Mei Zheng
- Beijing Key Laboratory of Emerging Infectious Diseases, Institute of Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing, China
- National Center for Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing, China
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Beijing, China
| | - Yanjun Song
- Beijing Key Laboratory of Emerging Infectious Diseases, Institute of Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing, China
- Beijing Institute of Infectious Diseases, Beijing, China
- National Center for Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing, China
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Beijing, China
| | - Guoli Li
- Beijing Key Laboratory of Emerging Infectious Diseases, Institute of Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing, China
- Beijing Institute of Infectious Diseases, Beijing, China
- National Center for Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing, China
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Beijing, China
| | - Chuan Song
- Beijing Key Laboratory of Emerging Infectious Diseases, Institute of Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing, China
- Beijing Institute of Infectious Diseases, Beijing, China
- National Center for Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing, China
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Beijing, China
| | - Tingting Liu
- Beijing Key Laboratory of Emerging Infectious Diseases, Institute of Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing, China
- Beijing Institute of Infectious Diseases, Beijing, China
- National Center for Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing, China
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Beijing, China
| | - Yuanyuan Zhang
- Beijing Key Laboratory of Emerging Infectious Diseases, Institute of Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing, China
- Beijing Institute of Infectious Diseases, Beijing, China
- National Center for Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing, China
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Beijing, China
| | - Ju-Tao Guo
- Baruch S. Blumberg Institute, Hepatitis B Foundation, Doylestown, Pennsylvania, USA
| | - Hanxin Lin
- Department of Medical Genetics, University of Alberta, Edmonton, Alberta, Canada
- Molecular Genetics Laboratory, Alberta Precision Laboratories, Edmonton, Alberta, Canada
| | - Xuesen Zhao
- Beijing Key Laboratory of Emerging Infectious Diseases, Institute of Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing, China
- Beijing Institute of Infectious Diseases, Beijing, China
- National Center for Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing, China
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Beijing, China
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4
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Olarte-Castillo XA, Plimpton L, McQueary H, Sun Y, Yu YT, Cover S, Richardson AN, Jin Y, Grenier JK, Cummings KJ, Bunting E, Diuk-Wasser M, Needle D, Schuler K, Stanhope MJ, Whittaker G, Goodman LB. Detection and characterization of novel luchacoviruses, genus Alphacoronavirus, shed in saliva and feces of meso-carnivores in the northeastern United States. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.05.31.541188. [PMID: 37745528 PMCID: PMC10515766 DOI: 10.1101/2023.05.31.541188] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/26/2023]
Abstract
Small to mid-sized carnivores, or meso-carnivores, comprise a group of diverse mammals, many of which can adapt to anthropogenically disturbed environments. Wild meso-carnivores living in urban areas may get exposed to or spread pathogens to other species, including stray/feral domestic animals. Several coronaviruses (CoVs) have been detected in domesticated and farmed meso-carnivores, but knowledge of CoVs circulating in free-ranging wild meso-carnivores remains limited. In this study, we analyzed 321 samples collected between 2016 and 2022 from 9 species of free-ranging wild meso-carnivores and stray/feral domestic cats in the northeastern United States. Using a pan-CoV PCR, we screened tissues, feces, and saliva, nasal, and rectal swabs. We detected CoV RNA in fecal and saliva samples of animals in four species: fisher (Pekania pennanti), bobcat (Lynx rufus), red fox (Vulpes vulpes), and domestic cat (Felis catus). Next-generation sequencing revealed that all these viruses belonged to the Luchacovirus subgenus (Alphacoronavirus genus), previously reported only in rodents and lagomorphs (i.e., rabbits). Genetic comparison of the 3'-end of the genome (~12,000bp) revealed that although the viruses detected group with, and have a genetic organization similar to other luchacoviruses, they are genetically distinct from those from rodents and lagomorphs. Genetic characterization of the spike protein revealed that the meso-carnivore luchacoviruses do not have an S1/S2 cleavage motif but do have highly variable structural loops containing cleavage motifs similar to those identified in certain pathogenic CoVs. This study highlights the importance of characterizing the spike protein of CoVs in wild species for further targeted epidemiologic monitoring.
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Affiliation(s)
- Ximena A. Olarte-Castillo
- Department of Microbiology & Immunology, College of Veterinary Medicine, Cornell University, Ithaca, NY, 14853, USA
- James A. Baker Institute for Animal Health, Cornell University College of Veterinary Medicine, Ithaca, NY, 14853, USA
| | - Laura Plimpton
- Department of Ecology, Evolution and Environmental Biology, Columbia University, New York, NY, USA
| | - Holly McQueary
- James A. Baker Institute for Animal Health, Cornell University College of Veterinary Medicine, Ithaca, NY, 14853, USA
- Department of Public and Ecosystem Health, College of Veterinary Medicine, Cornell University, Ithaca, NY, 14853, USA
| | - Yining Sun
- James A. Baker Institute for Animal Health, Cornell University College of Veterinary Medicine, Ithaca, NY, 14853, USA
- Department of Public and Ecosystem Health, College of Veterinary Medicine, Cornell University, Ithaca, NY, 14853, USA
| | - Y. Tina Yu
- James A. Baker Institute for Animal Health, Cornell University College of Veterinary Medicine, Ithaca, NY, 14853, USA
- Department of Public and Ecosystem Health, College of Veterinary Medicine, Cornell University, Ithaca, NY, 14853, USA
| | - Sarah Cover
- James A. Baker Institute for Animal Health, Cornell University College of Veterinary Medicine, Ithaca, NY, 14853, USA
- Department of Public and Ecosystem Health, College of Veterinary Medicine, Cornell University, Ithaca, NY, 14853, USA
| | - Amy N. Richardson
- James A. Baker Institute for Animal Health, Cornell University College of Veterinary Medicine, Ithaca, NY, 14853, USA
- Department of Public and Ecosystem Health, College of Veterinary Medicine, Cornell University, Ithaca, NY, 14853, USA
| | - Yuhan Jin
- James A. Baker Institute for Animal Health, Cornell University College of Veterinary Medicine, Ithaca, NY, 14853, USA
- Department of Public and Ecosystem Health, College of Veterinary Medicine, Cornell University, Ithaca, NY, 14853, USA
| | - Jennifer K. Grenier
- Transcriptional Regulation and Expression Facility, Biotechnology Resource Center, Institute of Biotechnology, Cornell University
| | - Kevin J. Cummings
- Department of Public and Ecosystem Health, College of Veterinary Medicine, Cornell University, Ithaca, NY, 14853, USA
| | - Elizabeth Bunting
- Department of Public and Ecosystem Health, College of Veterinary Medicine, Cornell University, Ithaca, NY, 14853, USA
| | - Maria Diuk-Wasser
- Department of Ecology, Evolution and Environmental Biology, Columbia University, New York, NY, USA
| | - David Needle
- New Hampshire Veterinary Diagnostic Laboratory, College of Life Sciences and Agriculture, University of New Hampshire
| | - Krysten Schuler
- Cornell Wildlife Health Lab, Animal Health Diagnostic Center, Cornell College of Veterinary Medicine, 240 Farrier Road, Ithaca, NY 14853
| | - Michael J. Stanhope
- Department of Public and Ecosystem Health, College of Veterinary Medicine, Cornell University, Ithaca, NY, 14853, USA
| | - Gary Whittaker
- Department of Microbiology & Immunology, College of Veterinary Medicine, Cornell University, Ithaca, NY, 14853, USA
- Department of Public and Ecosystem Health, College of Veterinary Medicine, Cornell University, Ithaca, NY, 14853, USA
| | - Laura B. Goodman
- James A. Baker Institute for Animal Health, Cornell University College of Veterinary Medicine, Ithaca, NY, 14853, USA
- Department of Public and Ecosystem Health, College of Veterinary Medicine, Cornell University, Ithaca, NY, 14853, USA
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5
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Zehr JD, Kosakovsky Pond SL, Millet JK, Olarte-Castillo XA, Lucaci AG, Shank SD, Ceres KM, Choi A, Whittaker GR, Goodman LB, Stanhope MJ. Natural selection differences detected in key protein domains between non-pathogenic and pathogenic feline coronavirus phenotypes. Virus Evol 2023; 9:vead019. [PMID: 37038392 PMCID: PMC10082545 DOI: 10.1093/ve/vead019] [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: 01/09/2023] [Revised: 02/14/2023] [Accepted: 03/13/2023] [Indexed: 03/17/2023] Open
Abstract
Feline coronaviruses (FCoVs) commonly cause mild enteric infections in felines worldwide (termed feline enteric coronavirus [FECV]), with around 12 per cent developing into deadly feline infectious peritonitis (FIP; feline infectious peritonitis virus [FIPV]). Genomic differences between FECV and FIPV have been reported, yet the putative genotypic basis of the highly pathogenic phenotype remains unclear. Here, we used state-of-the-art molecular evolutionary genetic statistical techniques to identify and compare differences in natural selection pressure between FECV and FIPV sequences, as well as to identify FIPV- and FECV-specific signals of positive selection. We analyzed full-length FCoV protein coding genes thought to contain mutations associated with FIPV (Spike, ORF3abc, and ORF7ab). We identified two sites exhibiting differences in natural selection pressure between FECV and FIPV: one within the S1/S2 furin cleavage site (FCS) and the other within the fusion domain of Spike. We also found fifteen sites subject to positive selection associated with FIPV within Spike, eleven of which have not previously been suggested as possibly relevant to FIP development. These sites fall within Spike protein subdomains that participate in host cell receptor interaction, immune evasion, tropism shifts, host cellular entry, and viral escape. There were fourteen sites (twelve novel sites) within Spike under positive selection associated with the FECV phenotype, almost exclusively within the S1/S2 FCS and adjacent to C domain, along with a signal of relaxed selection in FIPV relative to FECV, suggesting that furin cleavage functionality may not be needed for FIPV. Positive selection inferred in ORF7b was associated with the FECV phenotype and included twenty-four positively selected sites, while ORF7b had signals of relaxed selection in FIPV. We found evidence of positive selection in ORF3c in FCoV-wide analyses, but no specific association with the FIPV or FECV phenotype. We hypothesize that some combination of mutations in FECV may contribute to FIP development, and that it is unlikely to be one singular 'switch' mutational event. This work expands our understanding of the complexities of FIP development and provides insights into how evolutionary forces may alter pathogenesis in coronavirus genomes.
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Affiliation(s)
- Jordan D Zehr
- Department of Biology, Temple University, Institute for Genomics and Evolutionary Medicine, Philadelphia, PA 19122, USA
| | - Sergei L Kosakovsky Pond
- Department of Biology, Temple University, Institute for Genomics and Evolutionary Medicine, Philadelphia, PA 19122, USA
| | - Jean K Millet
- Université Paris-Saclay, INRAE, UVSQ, Virologie et Immunologie Moléculaires, Jouy-en-Josas 78352, France
| | - Ximena A Olarte-Castillo
- Department of Microbiology & Immunology, College of Veterinary Medicine, Cornell University, Ithaca, NY 14853, USA
- James A. Baker Institute for Animal Health, College of Veterinary Medicine, Cornell University, Ithaca, NY 14853, USA
| | - Alexander G Lucaci
- Department of Biology, Temple University, Institute for Genomics and Evolutionary Medicine, Philadelphia, PA 19122, USA
| | - Stephen D Shank
- Department of Biology, Temple University, Institute for Genomics and Evolutionary Medicine, Philadelphia, PA 19122, USA
| | - Kristina M Ceres
- Department of Public and Ecosystem Health, College of Veterinary Medicine, Cornell University, Ithaca, NY 14853, USA
| | - Annette Choi
- Department of Microbiology & Immunology, College of Veterinary Medicine, Cornell University, Ithaca, NY 14853, USA
- Department of Public and Ecosystem Health, College of Veterinary Medicine, Cornell University, Ithaca, NY 14853, USA
| | - Gary R Whittaker
- Department of Microbiology & Immunology, College of Veterinary Medicine, Cornell University, Ithaca, NY 14853, USA
- Department of Public and Ecosystem Health, College of Veterinary Medicine, Cornell University, Ithaca, NY 14853, USA
| | - Laura B Goodman
- James A. Baker Institute for Animal Health, College of Veterinary Medicine, Cornell University, Ithaca, NY 14853, USA
- Department of Public and Ecosystem Health, College of Veterinary Medicine, Cornell University, Ithaca, NY 14853, USA
| | - Michael J Stanhope
- Department of Public and Ecosystem Health, College of Veterinary Medicine, Cornell University, Ithaca, NY 14853, USA
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6
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Zehr JD, Pond SLK, Millet JK, Olarte-Castillo XA, Lucaci AG, Shank SD, Ceres KM, Choi A, Whittaker GR, Goodman LB, Stanhope MJ. Natural selection differences detected in key protein domains between non-pathogenic and pathogenic Feline Coronavirus phenotypes. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.01.11.523607. [PMID: 36712007 PMCID: PMC9882035 DOI: 10.1101/2023.01.11.523607] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/13/2023]
Abstract
Feline Coronaviruses (FCoVs) commonly cause mild enteric infections in felines worldwide (termed Feline Enteric Coronavirus [FECV]), with around 12% developing into deadly Feline Infectious Peritonitis (FIP; Feline Infectious Peritonitis Virus [FIPV]). Genomic differences between FECV and FIPV have been reported, yet the putative genotypic basis of the highly pathogenic phenotype remains unclear. Here, we used state-of-the-art molecular evolutionary genetic statistical techniques to identify and compare differences in natural selection pressure between FECV and FIPV sequences, as well as to identify FIPV and FECV specific signals of positive selection. We analyzed full length FCoV protein coding genes thought to contain mutations associated with FIPV (Spike, ORF3abc, and ORF7ab). We identified two sites exhibiting differences in natural selection pressure between FECV and FIPV: one within the S1/S2 furin cleavage site, and the other within the fusion domain of Spike. We also found 15 sites subject to positive selection associated with FIPV within Spike, 11 of which have not previously been suggested as possibly relevant to FIP development. These sites fall within Spike protein subdomains that participate in host cell receptor interaction, immune evasion, tropism shifts, host cellular entry, and viral escape. There were 14 sites (12 novel) within Spike under positive selection associated with the FECV phenotype, almost exclusively within the S1/S2 furin cleavage site and adjacent C domain, along with a signal of relaxed selection in FIPV relative to FECV, suggesting that furin cleavage functionality may not be needed for FIPV. Positive selection inferred in ORF7b was associated with the FECV phenotype, and included 24 positively selected sites, while ORF7b had signals of relaxed selection in FIPV. We found evidence of positive selection in ORF3c in FCoV wide analyses, but no specific association with the FIPV or FECV phenotype. We hypothesize that some combination of mutations in FECV may contribute to FIP development, and that is unlikely to be one singular "switch" mutational event. This work expands our understanding of the complexities of FIP development and provides insights into how evolutionary forces may alter pathogenesis in coronavirus genomes.
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Affiliation(s)
- Jordan D. Zehr
- Department of Biology, Temple University, Institute for Genomics and Evolutionary Medicine, Philadelphia, PA 19122, USA
| | - Sergei L. Kosakovsky Pond
- Department of Biology, Temple University, Institute for Genomics and Evolutionary Medicine, Philadelphia, PA 19122, USA
| | - Jean K. Millet
- Université Paris-Saclay, INRAE, UVSQ, Virologie et Immunologie Moléculaires, 78352 Jouyen-Josas, France
| | - Ximena A. Olarte-Castillo
- Department of Microbiology & Immunology, College of Veterinary Medicine, Cornell University, Ithaca, NY, 14853, USA
- James A. Baker Institute for Animal Health, Cornell University College of Veterinary Medicine, Ithaca, NY, 14853, USA
| | - Alexander G. Lucaci
- Department of Biology, Temple University, Institute for Genomics and Evolutionary Medicine, Philadelphia, PA 19122, USA
| | - Stephen D. Shank
- Department of Biology, Temple University, Institute for Genomics and Evolutionary Medicine, Philadelphia, PA 19122, USA
| | - Kristina M. Ceres
- Department of Public and Ecosystem Health, College of Veterinary Medicine, Cornell University, Ithaca, NY, 14853, USA
| | - Annette Choi
- Department of Public and Ecosystem Health, College of Veterinary Medicine, Cornell University, Ithaca, NY, 14853, USA
- Department of Microbiology & Immunology, College of Veterinary Medicine, Cornell University, Ithaca, NY, 14853, USA
| | - Gary R. Whittaker
- Department of Public and Ecosystem Health, College of Veterinary Medicine, Cornell University, Ithaca, NY, 14853, USA
- Department of Microbiology & Immunology, College of Veterinary Medicine, Cornell University, Ithaca, NY, 14853, USA
| | - Laura B. Goodman
- Department of Public and Ecosystem Health, College of Veterinary Medicine, Cornell University, Ithaca, NY, 14853, USA
- James A. Baker Institute for Animal Health, Cornell University College of Veterinary Medicine, Ithaca, NY, 14853, USA
| | - Michael J. Stanhope
- Department of Public and Ecosystem Health, College of Veterinary Medicine, Cornell University, Ithaca, NY, 14853, USA
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7
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Zhang Y, Yao N, Zhang C, Sun X, Huang J, Zhao B, Li H. LncRNA-mRNA integrated profiling analysis in response to white spot syndrome virus in hepatopancreas in Penaeus japonicus. FISH & SHELLFISH IMMUNOLOGY 2022; 129:251-262. [PMID: 36031038 DOI: 10.1016/j.fsi.2022.08.061] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/13/2022] [Revised: 08/18/2022] [Accepted: 08/22/2022] [Indexed: 06/15/2023]
Abstract
Penaeus japonicas is an important shrimp species, which is exposed to stressors including a variety of epidemic diseases. To date, little is known about the mechanisms involved in the response to white spot syndrome virus (WSSV) mediated by long non-coding RNAs (lncRNAs). A total of 6544 putative lncRNAs were identified in the hepatopancreas in P. japonicas, which provides a useful lncRNA reference resource for use in future studies. In addition, a total of 444 differentially expressed mRNAs and 457 differentially expressed lncRNAs were identified at 6, 12, and 24 h after WSSV infection in the hepatopancreas of P. japonicas. Functional enrichment analysis showed that the differentially expressed mRNAs were enriched in terms related to immune response and viral infectivity such as defense response, aminopeptidase activity, whereas the differentially expressed lncRNA partner genes were enriched in ubiquitin-dependent protein catabolic process, lipoprotein metabolic process, and antigen processing and presentation. Moreover, several lncRNAs were induced by WSSV infection, indicating these lncRNAs might participate in regulating many immune processes referring to their partner genes. Co-expression analysis of the lncRNAs and their partner genes identified some high lncRNA-mRNA correlations. These results suggest that WSSV stimulates the immune response in the hepatopancreas potentially through an important coding and non-coding gene network, thereby providing valuable information regarding non-coding responses to WSSV in Penaeus species.
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Affiliation(s)
- Yaqun Zhang
- Key Laboratory of Aquatic Genomics, Ministry of Agriculture and Rural Affairs, Beijing Key Laboratory of Fishery Biotechnology, Chinese Academy of Fishery Sciences, Beijing 100141, China
| | - Na Yao
- Key Laboratory of Aquatic Genomics, Ministry of Agriculture and Rural Affairs, Beijing Key Laboratory of Fishery Biotechnology, Chinese Academy of Fishery Sciences, Beijing 100141, China
| | - Chuantao Zhang
- Xiaying Enhancement and Experiment Station, Chinese Academy of Fishery Sciences, Weifang, Shandong, 261312, China
| | - Xiangshan Sun
- Xiaying Enhancement and Experiment Station, Chinese Academy of Fishery Sciences, Weifang, Shandong, 261312, China
| | - Jingxian Huang
- Xiaying Enhancement and Experiment Station, Chinese Academy of Fishery Sciences, Weifang, Shandong, 261312, China
| | - Bingran Zhao
- Xiaying Enhancement and Experiment Station, Chinese Academy of Fishery Sciences, Weifang, Shandong, 261312, China
| | - Hengde Li
- Key Laboratory of Aquatic Genomics, Ministry of Agriculture and Rural Affairs, Beijing Key Laboratory of Fishery Biotechnology, Chinese Academy of Fishery Sciences, Beijing 100141, China.
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8
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Paik H, Kim J, Seo S. Analysis of the docking property of host variants of hACE2 for SARS-CoV-2 in a large cohort. PLoS Comput Biol 2022; 18:e1009834. [PMID: 35816517 PMCID: PMC9302733 DOI: 10.1371/journal.pcbi.1009834] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2022] [Revised: 07/21/2022] [Accepted: 07/01/2022] [Indexed: 01/08/2023] Open
Abstract
The recent novel coronavirus disease (COVID-19) outbreak, caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), is threatening global health. However, an understanding of the interaction of SARS-CoV-2 with human cells, including the physical docking property influenced by the host's genetic diversity, is still lacking. Here, based on germline variants in the UK Biobank covering 502,543 individuals, we revealed the molecular interactions between human angiotensin-converting enzyme 2 (hACE2), which is the representative receptor for SARS-CoV-2 entry, and COVID-19 infection. We identified six nonsense and missense variants of hACE2 from 2585 subjects in the UK Biobank covering 500000 individuals. Using our molecular dynamics simulations, three hACE2 variants from 2585 individuals we selected showed higher levels of binding free energy for docking in the range of 1.44-3.69 kcal/mol. Although there are diverse contributors to SARS-CoV-2 infections, including the mobility of individuals, we analyzed the diagnosis records of individuals with these three variants of hACE2. Our molecular dynamics simulations combined with population-based genomic data provided an atomistic understanding of the interaction between hACE2 and the spike protein of SARS-CoV-2.
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Affiliation(s)
- Hyojung Paik
- Division of Supercomputing, Center for supercomputing application and research, Korea Institute of Science and Technology Information (KISTI), Daejeon, South Korea
- Department of Data and HPC science, University of Science and Technology (UST), Daejeon, South Korea
| | - Jimin Kim
- Division of Supercomputing, Center for supercomputing application and research, Korea Institute of Science and Technology Information (KISTI), Daejeon, South Korea
| | - Sangjae Seo
- Division of Supercomputing, Center for supercomputing application and research, Korea Institute of Science and Technology Information (KISTI), Daejeon, South Korea
- * E-mail:
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