1
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Koch RT, Erazo D, Folly AJ, Johnson N, Dellicour S, Grubaugh ND, Vogels CBF. Genomic epidemiology of West Nile virus in Europe. One Health 2024; 18:100664. [PMID: 38193029 PMCID: PMC10772404 DOI: 10.1016/j.onehlt.2023.100664] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2023] [Accepted: 12/12/2023] [Indexed: 01/10/2024] Open
Abstract
West Nile virus is one of the most widespread mosquito-borne zoonotic viruses, with unique transmission dynamics in various parts of the world. Genomic surveillance has provided important insights in the global patterns of West Nile virus emergence and spread. In Europe, multiple West Nile virus lineages have been isolated, with lineage 1a and 2 being the main lineages responsible for human infections. In contrast to North America, where a single introduction of lineage 1a resulted in the virus establishing itself in a new continent, at least 13 introductions of lineages 1a and 2 have occurred into Europe, which is likely a vast underestimation of the true number of introductions. Historically, lineage 1a was the main lineage circulating in Europe, but since the emergence of lineage 2 in the early 2000s, the latter has become the predominant lineage. This shift in West Nile virus lineage prevalence has been broadly linked to the expansion of the virus into northerly temperate regions, where autochthonous cases in animals and humans have been reported in Germany and The Netherlands. Here, we discuss how genomic analysis has increased our understanding of the epidemiology of West Nile virus in Europe, and we present a global Nextstrain build consisting of publicly available West Nile virus genomes (https://nextstrain.org/community/grubaughlab/WNV-Global). Our results elucidate recent insights in West Nile virus lineage dynamics in Europe, and discuss how expanded programs can fill current genomic surveillance gaps.
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Affiliation(s)
- R Tobias Koch
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA
| | - Diana Erazo
- Spatial Epidemiology Lab (SpELL), Université Libre de Bruxelles, Brussels, Belgium
| | - Arran J Folly
- Vector-Borne Diseases, Virology Department, Animal and Plant Health Agency, Woodham Lane, Addlestone, Surrey, UK
| | - Nicholas Johnson
- Vector-Borne Diseases, Virology Department, Animal and Plant Health Agency, Woodham Lane, Addlestone, Surrey, UK
| | - Simon Dellicour
- Spatial Epidemiology Lab (SpELL), Université Libre de Bruxelles, Brussels, Belgium
- Department of Microbiology, Immunology and Transplantation, Rega Institute, Laboratory for Clinical and Epidemiological Virology, KU Leuven, Leuven, Belgium
| | - Nathan D Grubaugh
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA
- Department of Ecology and Evolutionary Biology, Yale University, New Haven, CT, USA
- Yale Institute for Global Health, Yale University, New Haven, CT, USA
- Public Health Modeling Unit, Yale School of Public Health, New Haven, CT, United States of America
| | - Chantal B F Vogels
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA
- Yale Institute for Global Health, Yale University, New Haven, CT, USA
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2
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Harish V, Colón-González FJ, Moreira FRR, Gibb R, Kraemer MUG, Davis M, Reiner RC, Pigott DM, Perkins TA, Weiss DJ, Bogoch II, Vazquez-Prokopec G, Saide PM, Barbosa GL, Sabino EC, Khan K, Faria NR, Hay SI, Correa-Morales F, Chiaravalloti-Neto F, Brady OJ. Human movement and environmental barriers shape the emergence of dengue. Nat Commun 2024; 15:4205. [PMID: 38806460 PMCID: PMC11133396 DOI: 10.1038/s41467-024-48465-0] [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: 02/16/2024] [Accepted: 04/29/2024] [Indexed: 05/30/2024] Open
Abstract
Understanding how emerging infectious diseases spread within and between countries is essential to contain future pandemics. Spread to new areas requires connectivity between one or more sources and a suitable local environment, but how these two factors interact at different stages of disease emergence remains largely unknown. Further, no analytical framework exists to examine their roles. Here we develop a dynamic modelling approach for infectious diseases that explicitly models both connectivity via human movement and environmental suitability interactions. We apply it to better understand recently observed (1995-2019) patterns as well as predict past unobserved (1983-2000) and future (2020-2039) spread of dengue in Mexico and Brazil. We find that these models can accurately reconstruct long-term spread pathways, determine historical origins, and identify specific routes of invasion. We find early dengue invasion is more heavily influenced by environmental factors, resulting in patchy non-contiguous spread, while short and long-distance connectivity becomes more important in later stages. Our results have immediate practical applications for forecasting and containing the spread of dengue and emergence of new serotypes. Given current and future trends in human mobility, climate, and zoonotic spillover, understanding the interplay between connectivity and environmental suitability will be increasingly necessary to contain emerging and re-emerging pathogens.
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Affiliation(s)
- Vinyas Harish
- Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
- Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada
- Vector Institute for Artificial Intelligence, Toronto, ON, Canada
| | - Felipe J Colón-González
- Centre for the Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical Medicine, London, UK
- Department of Infectious Disease Epidemiology, Faculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, UK
- Centre on Climate Change and Planetary Health, London School of Hygiene & Tropical Medicine, London, UK
| | - Filipe R R Moreira
- Medical Research Council Centre for Global Infectious Disease Analysis, Abdul Latif Jameel Institute for Disease and Emergency Analytics and Department of Infectious Disease Epidemiology, School of Public Health, Imperial College London, London, UK
- Departamento de Genética, Universidade Federal do Rio de Janeiro, Rio de Janeiro, RJ, Brazil
| | - Rory Gibb
- Centre for the Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical Medicine, London, UK
- Department of Infectious Disease Epidemiology, Faculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, UK
- Centre on Climate Change and Planetary Health, London School of Hygiene & Tropical Medicine, London, UK
- Department of Genetics, Evolution and Environment, University College London, London, UK
| | | | | | - Robert C Reiner
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
- Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle, WA, USA
| | - David M Pigott
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
- Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle, WA, USA
| | - T Alex Perkins
- Department of Biological Sciences, University of Notre Dame, Notre Dame, IN, USA
- Eck Institute for Global Health, University of Notre Dame, Notre Dame, IN, USA
| | - Daniel J Weiss
- Geospatial Health and Development, Telethon Kids Institute, Nedlands, WA, Australia
- Faculty of Health Sciences, Curtin University, Perth, WA, Australia
| | - Isaac I Bogoch
- Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
- Divisions of General Internal Medicine and Infectious Diseases, Toronto General Hospital, University Health Network, Toronto, ON, Canada
| | | | | | - Gerson L Barbosa
- Pasteur Institute, State Secretary of Health of São Paulo, São Paulo, SP, Brazil
| | - Ester C Sabino
- Institute of Tropical Medicine, Faculdade de Medicina, Universidade de São Paulo, São Paulo, SP, Brazil
| | - Kamran Khan
- Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
- Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada
- BlueDot, Toronto, ON, Canada
- Division of Infectious Diseases, St. Michael's Hospital, Unity Health Toronto, Toronto, ON, Canada
- Li Ka Shing Knowledge Institute, Unity Health Toronto, Toronto, ON, Canada
| | - Nuno R Faria
- Departamento de Genética, Universidade Federal do Rio de Janeiro, Rio de Janeiro, RJ, Brazil
- Institute of Tropical Medicine, Faculdade de Medicina, Universidade de São Paulo, São Paulo, SP, Brazil
| | - Simon I Hay
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
- Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle, WA, USA
| | - Fabián Correa-Morales
- Centro Nacional de Programas Preventivos y Control de Enfermedades (CENAPRECE) Secretaria de Salud Mexico, Ciudad de Mexico, Mexico
| | | | - Oliver J Brady
- Centre for the Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical Medicine, London, UK.
- Department of Infectious Disease Epidemiology, Faculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, UK.
- Centre on Climate Change and Planetary Health, London School of Hygiene & Tropical Medicine, London, UK.
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3
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Quek ZBR, Ng SH. Hybrid-Capture Target Enrichment in Human Pathogens: Identification, Evolution, Biosurveillance, and Genomic Epidemiology. Pathogens 2024; 13:275. [PMID: 38668230 PMCID: PMC11054155 DOI: 10.3390/pathogens13040275] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2024] [Revised: 03/11/2024] [Accepted: 03/18/2024] [Indexed: 04/29/2024] Open
Abstract
High-throughput sequencing (HTS) has revolutionised the field of pathogen genomics, enabling the direct recovery of pathogen genomes from clinical and environmental samples. However, pathogen nucleic acids are often overwhelmed by those of the host, requiring deep metagenomic sequencing to recover sufficient sequences for downstream analyses (e.g., identification and genome characterisation). To circumvent this, hybrid-capture target enrichment (HC) is able to enrich pathogen nucleic acids across multiple scales of divergences and taxa, depending on the panel used. In this review, we outline the applications of HC in human pathogens-bacteria, fungi, parasites and viruses-including identification, genomic epidemiology, antimicrobial resistance genotyping, and evolution. Importantly, we explored the applicability of HC to clinical metagenomics, which ultimately requires more work before it is a reliable and accurate tool for clinical diagnosis. Relatedly, the utility of HC was exemplified by COVID-19, which was used as a case study to illustrate the maturity of HC for recovering pathogen sequences. As we unravel the origins of COVID-19, zoonoses remain more relevant than ever. Therefore, the role of HC in biosurveillance studies is also highlighted in this review, which is critical in preparing us for the next pandemic. We also found that while HC is a popular tool to study viruses, it remains underutilised in parasites and fungi and, to a lesser extent, bacteria. Finally, weevaluated the future of HC with respect to bait design in the eukaryotic groups and the prospect of combining HC with long-read HTS.
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Affiliation(s)
- Z. B. Randolph Quek
- Defence Medical & Environmental Research Institute, DSO National Laboratories, Singapore 117510, Singapore
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4
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Müller NF, Bouckaert RR, Wu CH, Bedford T. MASCOT-Skyline integrates population and migration dynamics to enhance phylogeographic reconstructions. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.03.06.583734. [PMID: 38496513 PMCID: PMC10942421 DOI: 10.1101/2024.03.06.583734] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/19/2024]
Abstract
The spread of infectious diseases is shaped by spatial and temporal aspects, such as host population structure or changes in the transmission rate or number of infected individuals over time. These spatiotemporal dynamics are imprinted in the genome of pathogens and can be recovered from those genomes using phylodynamics methods. However, phylodynamic methods typically quantify either the temporal or spatial transmission dynamics, which leads to unclear biases, as one can potentially not be inferred without the other. Here, we address this challenge by introducing a structured coalescent skyline approach, MASCOT-Skyline that allows us to jointly infer spatial and temporal transmission dynamics of infectious diseases using Markov chain Monte Carlo inference. To do so, we model the effective population size dynamics in different locations using a non-parametric function, allowing us to approximate a range of population size dynamics. We show, using a range of different viral outbreak datasets, potential issues with phylogeographic methods. We then use these viral datasets to motivate simulations of outbreaks that illuminate the nature of biases present in the different phylogeographic methods. We show that spatial and temporal dynamics should be modeled jointly even if one seeks to recover just one of the two. Further, we showcase conditions under which we can expect phylogeographic analyses to be biased, particularly different subsampling approaches, as well as provide recommendations of when we can expect them to perform well. We implemented MASCOT-Skyline as part of the open-source software package MASCOT for the Bayesian phylodynamics platform BEAST2.
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Affiliation(s)
- Nicola F. Müller
- Division of HIV, ID and Global Medicine, University of California San Francisco, San Francisco, USA
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, USA
| | - Remco R. Bouckaert
- Centre for Computational Evolution, The University of Auckland, New Zealand
| | - Chieh-Hsi Wu
- School of Mathematical Sciences, University of Southampton, UK
| | - Trevor Bedford
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, USA
- Howard Hughes Medical Institute, Seattle, USA
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5
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Marchand S, Rodriguez C, Woerther PL. [High-throughput sequencing for infectious disease diagnoses: Example of shotgun metagenomics in central nervous system infections]. Rev Med Interne 2024; 45:166-173. [PMID: 37230923 DOI: 10.1016/j.revmed.2023.05.002] [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: 10/06/2022] [Revised: 04/18/2023] [Accepted: 05/08/2023] [Indexed: 05/27/2023]
Abstract
The advent of high-throughput sequencing in clinical microbiology is opening the way to new diagnostic and prognostic approaches in infectious diseases. Detection, identification and characterisation of pathogenic microorganisms are essential steps in diagnosis and implementation of appropriate antimicrobial therapy. However, standard methods of microbiological diagnosis are failing in some cases. In addition, the emergence of new infections, facilitated by international travel and global warming, requires the implementation of innovative diagnostic methods. Among the different strategies used in clinical microbiology and reviewed in this article, shotgun metagenomics is the only technique that allows today a panpathogenic and unbiased detection of all microorganisms potentially responsible for an infectious disease, including those still unknown. The aims of this article are to present the different possible strategies of high-throughput sequencing used in the microbiological diagnosis of infectious diseases and to highlight the diagnostic contribution of shotgun metagenomics in the field of central nervous system infections.
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Affiliation(s)
- S Marchand
- Département de microbiologie, hôpital Henri Mondor, AP-HP, Créteil, France; Plateforme de génomique, hôpital Henri Mondor, AP-HP, Créteil, France.
| | - C Rodriguez
- Département de microbiologie, hôpital Henri Mondor, AP-HP, Créteil, France; Plateforme de génomique, hôpital Henri Mondor, AP-HP, Créteil, France; Inserm U955, université Paris-Est Créteil, Créteil, France
| | - P-L Woerther
- Département de microbiologie, hôpital Henri Mondor, AP-HP, Créteil, France; Plateforme de génomique, hôpital Henri Mondor, AP-HP, Créteil, France; EA 7380 Dynamyc, université Paris-Est Créteil, Créteil, France
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6
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Elliott KC, Mattapallil JJ. Zika Virus-A Reemerging Neurotropic Arbovirus Associated with Adverse Pregnancy Outcomes and Neuropathogenesis. Pathogens 2024; 13:177. [PMID: 38392915 PMCID: PMC10892292 DOI: 10.3390/pathogens13020177] [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: 12/24/2023] [Revised: 02/07/2024] [Accepted: 02/11/2024] [Indexed: 02/25/2024] Open
Abstract
Zika virus (ZIKV) is a reemerging flavivirus that is primarily spread through bites from infected mosquitos. It was first discovered in 1947 in sentinel monkeys in Uganda and has since been the cause of several outbreaks, primarily in tropical and subtropical areas. Unlike earlier outbreaks, the 2015-2016 epidemic in Brazil was characterized by the emergence of neurovirulent strains of ZIKV strains that could be sexually and perinatally transmitted, leading to the Congenital Zika Syndrome (CZS) in newborns, and Guillain-Barre Syndrome (GBS) along with encephalitis and meningitis in adults. The immune response elicited by ZIKV infection is highly effective and characterized by the induction of both ZIKV-specific neutralizing antibodies and robust effector CD8+ T cell responses. However, the structural similarities between ZIKV and Dengue virus (DENV) lead to the induction of cross-reactive immune responses that could potentially enhance subsequent DENV infection, which imposes a constraint on the development of a highly efficacious ZIKV vaccine. The isolation and characterization of antibodies capable of cross-neutralizing both ZIKV and DENV along with cross-reactive CD8+ T cell responses suggest that vaccine immunogens can be designed to overcome these constraints. Here we review the structural characteristics of ZIKV along with the evidence of neuropathogenesis associated with ZIKV infection and the complex nature of the immune response that is elicited by ZIKV infection.
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Affiliation(s)
- Kenneth C. Elliott
- Department of Microbiology & Immunology, The Henry M Jackson Foundation for Military Medicine, Uniformed Services University, Bethesda, MD 20814, USA
- Department of Microbiology & Immunology, Uniformed Services University, Bethesda, MD 20814, USA
| | - Joseph J. Mattapallil
- Department of Microbiology & Immunology, Uniformed Services University, Bethesda, MD 20814, USA
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7
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Morales SV, Coelho GM, Ricciardi-Jorge T, Dorl GG, Zanluca C, Duarte Dos Santos CN. Development of a quantitative NS1 antigen enzyme-linked immunosorbent assay (ELISA) for Zika virus detection using a novel virus-specific mAb. Sci Rep 2024; 14:2544. [PMID: 38291109 PMCID: PMC10827715 DOI: 10.1038/s41598-024-52123-2] [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: 09/29/2023] [Accepted: 01/14/2024] [Indexed: 02/01/2024] Open
Abstract
Viruses from the Flaviviridae family, such as Dengue virus (DENV), Yellow fever virus (YFV), and Zika virus (ZIKV) are notorious global public health problems. ZIKV emergence in Polynesia and the Americas from 2013 to 2016 raised concerns as new distinguishing features set it apart from previous outbreaks, including its association with neurological complications and heightened disease severity. Virus detection is impaired as cross-reactivity to other closely related orthoflaviviruses is common among commercially available diagnostic kits. While non-structural protein 1 (NS1) has been used as an early marker of DENV and West Nile virus (WNV) infection, little is known about NS1 expression during ZIKV infection. In the present work, we developed a NS1 capture ELISA using a novel ZIKV-specific monoclonal antibody to study NS1 expression dynamics in vitro in mosquito and human cell lines. While detectable in culture supernatants, higher concentrations of NS1 were predominantly cell-associated. To our knowledge, this is the first report of NS1 detection in human cells despite viral clearance over time. Tests with human samples need to be conducted to validate the applicability of NS1 detection for diagnosis, but overall, the tools developed in this work are promising for specific detection of acute ZIKV infection.
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Affiliation(s)
| | - Gabriela Mattoso Coelho
- Laboratório de Virologia Molecular, Instituto Carlos Chagas, FIOCRUZ, Curitiba, Paraná, Brazil
| | | | - Gisiane Gruber Dorl
- Laboratório de Virologia Molecular, Instituto Carlos Chagas, FIOCRUZ, Curitiba, Paraná, Brazil
| | - Camila Zanluca
- Laboratório de Virologia Molecular, Instituto Carlos Chagas, FIOCRUZ, Curitiba, Paraná, Brazil
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8
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Mirza JD, de Oliveira Guimarães L, Wilkinson S, Rocha EC, Bertanhe M, Helfstein VC, de-Deus JT, Claro IM, Cumley N, Quick J, Faria NR, Sabino EC, Kirchgatter K, Loman NJ. Tracking arboviruses, their transmission vectors and potential hosts by nanopore sequencing of mosquitoes. Microb Genom 2024; 10:001184. [PMID: 38240642 PMCID: PMC10868619 DOI: 10.1099/mgen.0.001184] [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: 11/03/2023] [Accepted: 01/08/2024] [Indexed: 01/23/2024] Open
Abstract
The risk to human health from mosquito-borne viruses such as dengue, chikungunya and yellow fever is increasing due to increased human expansion, deforestation and climate change. To anticipate and predict the spread and transmission of mosquito-borne viruses, a better understanding of the transmission cycle in mosquito populations is needed. We present a pathogen-agnostic combined sequencing protocol for identifying vectors, viral pathogens and their hosts or reservoirs using portable Oxford Nanopore sequencing. Using mosquitoes collected in São Paulo, Brazil, we extracted RNA for virus identification and DNA for blood meal and mosquito identification. Mosquitoes and blood meals were identified by comparing cytochrome c oxidase I (COI) sequences against a curated Barcode of Life Data System (BOLD). Viruses were identified using the SMART-9N protocol, which allows amplified DNA to be prepared with native barcoding for nanopore sequencing. Kraken 2 was employed to detect viral pathogens and Minimap2 and BOLD identified the contents of the blood meal. Due to the high similarity of some species, mosquito identification was conducted using blast after generation of consensus COI sequences using RACON polishing. This protocol can simultaneously uncover viral diversity, mosquito species and mosquito feeding habits. It also has the potential to increase understanding of mosquito genetic diversity and transmission dynamics of zoonotic mosquito-borne viruses.
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Affiliation(s)
- Jeremy D. Mirza
- Institute of Inflammation and Ageing, University of Birmingham, Birmingham, UK
- Department of Biosciences, University of Birmingham, Birmingham, UK
| | | | - Sam Wilkinson
- Department of Biosciences, University of Birmingham, Birmingham, UK
| | - Esmenia C. Rocha
- Instituto de Medicina Tropical, Faculdade de Medicina da Universidade de São Paulo, São Paulo, Brazil
| | - Mayara Bertanhe
- Instituto de Medicina Tropical, Faculdade de Medicina da Universidade de São Paulo, São Paulo, Brazil
| | | | | | - Ingra M. Claro
- Instituto de Medicina Tropical, Faculdade de Medicina da Universidade de São Paulo, São Paulo, Brazil
- MRC Centre for Global Infectious Disease Analysis, Jameel Institute, Imperial College London, London, UK
| | - Nicola Cumley
- Department of Biosciences, University of Birmingham, Birmingham, UK
| | - Joshua Quick
- Department of Biosciences, University of Birmingham, Birmingham, UK
| | - Nuno R. Faria
- MRC Centre for Global Infectious Disease Analysis, Jameel Institute, Imperial College London, London, UK
| | - Ester C. Sabino
- Instituto de Medicina Tropical, Faculdade de Medicina da Universidade de São Paulo, São Paulo, Brazil
| | - Karin Kirchgatter
- Instituto Pasteur, São Paulo, Brazil
- Instituto de Medicina Tropical, Faculdade de Medicina da Universidade de São Paulo, São Paulo, Brazil
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9
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Gibb R, Colón-González FJ, Lan PT, Huong PT, Nam VS, Duoc VT, Hung DT, Dong NT, Chien VC, Trang LTT, Kien Quoc D, Hoa TM, Tai NH, Hang TT, Tsarouchi G, Ainscoe E, Harpham Q, Hofmann B, Lumbroso D, Brady OJ, Lowe R. Interactions between climate change, urban infrastructure and mobility are driving dengue emergence in Vietnam. Nat Commun 2023; 14:8179. [PMID: 38081831 PMCID: PMC10713571 DOI: 10.1038/s41467-023-43954-0] [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: 07/24/2023] [Accepted: 11/24/2023] [Indexed: 12/18/2023] Open
Abstract
Dengue is expanding globally, but how dengue emergence is shaped locally by interactions between climatic and socio-environmental factors is not well understood. Here, we investigate the drivers of dengue incidence and emergence in Vietnam, through analysing 23 years of district-level case data spanning a period of significant socioeconomic change (1998-2020). We show that urban infrastructure factors (sanitation, water supply, long-term urban growth) predict local spatial patterns of dengue incidence, while human mobility is a more influential driver in subtropical northern regions than the endemic south. Temperature is the dominant factor shaping dengue's distribution and dynamics, and using long-term reanalysis temperature data we show that warming since 1950 has expanded transmission risk throughout Vietnam, and most strongly in current dengue emergence hotspots (e.g., southern central regions, Ha Noi). In contrast, effects of hydrometeorology are complex, multi-scalar and dependent on local context: risk increases under either short-term precipitation excess or long-term drought, but improvements in water supply mitigate drought-associated risks except under extreme conditions. Our findings challenge the assumption that dengue is an urban disease, instead suggesting that incidence peaks in transitional landscapes with intermediate infrastructure provision, and provide evidence that interactions between recent climate change and mobility are contributing to dengue's expansion throughout Vietnam.
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Affiliation(s)
- Rory Gibb
- Department of Infectious Disease Epidemiology & Dynamics, Faculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, UK.
- Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene and Tropical Medicine, London, UK.
- Centre on Climate Change and Planetary Health, London School of Hygiene and Tropical Medicine, London, UK.
- Centre for Biodiversity and Environment Research, Department of Genetics, Evolution & Environment, University College London, London, UK.
| | - Felipe J Colón-González
- Department of Infectious Disease Epidemiology & Dynamics, Faculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, UK
- Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene and Tropical Medicine, London, UK
- Centre on Climate Change and Planetary Health, London School of Hygiene and Tropical Medicine, London, UK
- Data for Science and Health, Wellcome Trust, London, UK
| | - Phan Trong Lan
- General Department of Preventative Medicine (GDPM), Ministry of Health, Hanoi, Vietnam
| | - Phan Thi Huong
- General Department of Preventative Medicine (GDPM), Ministry of Health, Hanoi, Vietnam
| | - Vu Sinh Nam
- National Institute of Hygiene and Epidemiology (NIHE), Hanoi, Vietnam
| | - Vu Trong Duoc
- National Institute of Hygiene and Epidemiology (NIHE), Hanoi, Vietnam
| | - Do Thai Hung
- Pasteur Institute Nha Trang, Nha Trang, Khanh Hoa Province, Vietnam
| | | | - Vien Chinh Chien
- Tay Nguyen Institute of Hygiene and Epidemiology (TIHE), Buon Ma Thuot, Dak Lak Province, Vietnam
| | - Ly Thi Thuy Trang
- Tay Nguyen Institute of Hygiene and Epidemiology (TIHE), Buon Ma Thuot, Dak Lak Province, Vietnam
| | - Do Kien Quoc
- Pasteur Institute Ho Chi Minh City, Ho Chi Minh City, Vietnam
| | - Tran Minh Hoa
- Center for Disease Control, Dong Nai Province, Vietnam
| | | | | | | | | | | | | | | | - Oliver J Brady
- Department of Infectious Disease Epidemiology & Dynamics, Faculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, UK
- Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene and Tropical Medicine, London, UK
- Centre on Climate Change and Planetary Health, London School of Hygiene and Tropical Medicine, London, UK
| | - Rachel Lowe
- Department of Infectious Disease Epidemiology & Dynamics, Faculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, UK
- Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene and Tropical Medicine, London, UK
- Centre on Climate Change and Planetary Health, London School of Hygiene and Tropical Medicine, London, UK
- Barcelona Supercomputing Center (BSC), Barcelona, Spain
- Catalan Institution for Research and Advanced Studies (ICREA), Barcelona, Spain
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10
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Sundararaman B, Sylvester MD, Kozyreva VK, Berrada ZL, Corbett-Detig RB, Green RE. A hybridization target enrichment approach for pathogen genomics. mBio 2023; 14:e0188923. [PMID: 37830873 PMCID: PMC10653935 DOI: 10.1128/mbio.01889-23] [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: 08/10/2023] [Accepted: 09/08/2023] [Indexed: 10/14/2023] Open
Abstract
IMPORTANCE Emerging infectious diseases require continuous pathogen monitoring. Rapid clinical diagnosis by nucleic acid amplification is limited to a small number of targets and may miss target detection due to new mutations in clinical isolates. Whole-genome sequencing (WGS) identifies genome-wide variations that may be used to determine a pathogen's drug resistance patterns and phylogenetically characterize isolates to track disease origin and transmission. WGS is typically performed using DNA isolated from cultured clinical isolates. Culturing clinical specimens increases turn-around time and may not be possible for fastidious bacteria. To overcome some of these limitations, direct sequencing of clinical specimens has been attempted using expensive capture probes to enrich the entire genomes of target pathogens. We present a method to produce a cost-effective, time-efficient, and large-scale synthesis of probes for whole-genome enrichment. We envision that our method can be used for direct clinical sequencing of a wide range of microbial pathogens for genomic epidemiology.
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Affiliation(s)
- Balaji Sundararaman
- Department of Biomolecular Engineering, University of California Santa Cruz, Santa Cruz, California, USA
| | - Matthew D. Sylvester
- Center for Laboratory Sciences, California Department of Public Health, Microbial Diseases Laboratory Branch, Richmond, California, USA
| | - Varvara K. Kozyreva
- Center for Laboratory Sciences, California Department of Public Health, Microbial Diseases Laboratory Branch, Richmond, California, USA
| | - Zenda L. Berrada
- Center for Laboratory Sciences, California Department of Public Health, Microbial Diseases Laboratory Branch, Richmond, California, USA
| | - Russell B. Corbett-Detig
- Department of Biomolecular Engineering, University of California Santa Cruz, Santa Cruz, California, USA
- UCSC Genomics Institute, University of California Santa Cruz, Santa Cruz, California, USA
| | - Richard E. Green
- Department of Biomolecular Engineering, University of California Santa Cruz, Santa Cruz, California, USA
- UCSC Genomics Institute, University of California Santa Cruz, Santa Cruz, California, USA
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11
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Vasquez MI, Notarides G, Meletiou S, Patsoula E, Kavran M, Michaelakis A, Bellini R, Toumazi T, Bouyer J, Petrić D. Two invasions at once: update on the introduction of the invasive species Aedes aegypti and Aedes albopictus in Cyprus - a call for action in Europe. Parasite 2023; 30:41. [PMID: 37772845 PMCID: PMC10540676 DOI: 10.1051/parasite/2023043] [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: 04/28/2023] [Accepted: 09/02/2023] [Indexed: 09/30/2023] Open
Abstract
Aedes aegypti, the yellow fever mosquito and Aedes albopictus, the tiger mosquito, continue to expand their geographical distribution, reshaping the European epidemiological risks for mosquito-borne diseases. The reintroduction of Aedes aegypti near the airport and port in Larnaka and the detection of Aedes albopictus near the marina and old port of the Limassol area in Cyprus are reported herein. The measures taken to investigate these events included (i) communication to health authorities, (ii) expert on-site visits and verification of findings, (iii) enhanced active surveillance, and (iv) development of an Emergency Action Plan followed by a Contingency Plan. These emergency action plans were developed to delimitate the infested areas and to prevent the spreading of the mosquito populations into new areas. The general principles are presented along with their rationale to serve as guidelines for other geographical regions targeting suppression/eradication with a sterile insect technique component. In parallel, this manuscript serves as a call for action at the European level to impede the further spread of these species and support the activities being undertaken in Cyprus to combat the incursions of Aedes invasive species.
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Affiliation(s)
- Marlen Ines Vasquez
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Department of Chemical Engineering, Cyprus University of Technology 3020 Limassol Cyprus
| | - Gregoris Notarides
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Department of Chemical Engineering, Cyprus University of Technology 3020 Limassol Cyprus
| | - Sotiris Meletiou
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Department of Chemical Engineering, Cyprus University of Technology 3020 Limassol Cyprus
| | - Eleni Patsoula
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Faculty of Public Health Policy, Laboratory for Surveillance of Infectious Diseases, School of Public Health, University of West Attica 11521 Athens Greece
| | - Mihaela Kavran
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University of Novi Sad, Faculty of Agriculture, Center of Excellence One Health – Vectors and Climate 21101 Novi Sad Serbia
| | - Antonios Michaelakis
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Laboratory of Insects and Parasites of Medical Importance, Benaki Phytopathological Institute 14561 Athens Greece
| | - Romeo Bellini
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Centro Agricoltura Ambiente “G. Nicoli” 40014 Crevalcore Italy
| | - Toumazis Toumazi
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Department of Chemical Engineering, Cyprus University of Technology 3020 Limassol Cyprus
| | - Jeremy Bouyer
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UMR Astre (Animals, Health, Territories, Risks, Ecosystems), Cirad, Inrae, Univ. Montpellier 34398 Montpellier France
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Insect Pest Control Laboratory, Joint FAO/IAEA Centre of Nuclear Techniques in Food and Agriculture, International Atomic Energy Agency A-1400 Vienna Austria
| | - Dušan Petrić
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University of Novi Sad, Faculty of Agriculture, Center of Excellence One Health – Vectors and Climate 21101 Novi Sad Serbia
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12
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Hernández-Neuta I, Magoulopoulou A, Pineiro F, Lisby JG, Gulberg M, Nilsson M. Highly multiplexed targeted sequencing strategy for infectious disease surveillance. BMC Biotechnol 2023; 23:31. [PMID: 37612665 PMCID: PMC10463907 DOI: 10.1186/s12896-023-00804-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2023] [Accepted: 08/17/2023] [Indexed: 08/25/2023] Open
Abstract
BACKGROUND Global efforts to characterize diseases of poverty are hampered by lack of affordable and comprehensive detection platforms, resulting in suboptimal allocation of health care resources and inefficient disease control. Next generation sequencing (NGS) can provide accurate data and high throughput. However, shotgun and metagenome-based NGS approaches are limited by low concentrations of microbial DNA in clinical samples, requirements for tailored sample and library preparations plus extensive bioinformatics analysis. Here, we adapted molecular inversion probes (MIPs) as a cost-effective target enrichment approach to characterize microbial infections from blood samples using short-read sequencing. We designed a probe panel targeting 2 bacterial genera, 21 bacterial and 6 fungi species and 7 antimicrobial resistance markers (AMRs). RESULTS Our approach proved to be highly specific to detect down to 1 in a 1000 pathogen DNA targets contained in host DNA. Additionally, we were able to accurately survey pathogens and AMRs in 20 out of 24 samples previously profiled with routine blood culture for sepsis. CONCLUSIONS Overall, our targeted assay identifies microbial pathogens and AMRs with high specificity at high throughput, without the need for extensive sample preparation or bioinformatics analysis, simplifying its application for characterization and surveillance of infectious diseases in medium- to low- resource settings.
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Affiliation(s)
- Iván Hernández-Neuta
- Department of Biochemistry and Biophysics, Faculty of Science, Stockholm University, Svante Arrhenius väg 16C, Stockholm, 104 05, Sweden
- Science for Life Laboratory (SciLifeLab), Tomtebodavägen 23, 171 65, Solna, Sweden
| | - Anastasia Magoulopoulou
- Department of Biochemistry and Biophysics, Faculty of Science, Stockholm University, Svante Arrhenius väg 16C, Stockholm, 104 05, Sweden
- Science for Life Laboratory (SciLifeLab), Tomtebodavägen 23, 171 65, Solna, Sweden
| | - Flor Pineiro
- Department of Biochemistry and Biophysics, Faculty of Science, Stockholm University, Svante Arrhenius väg 16C, Stockholm, 104 05, Sweden
- Science for Life Laboratory (SciLifeLab), Tomtebodavägen 23, 171 65, Solna, Sweden
| | - Jan Gorm Lisby
- Department of Clinical Microbiology, Amager and Hvidovre Hospital, University of Copenhagen, Kettegaard Alle 30, Hvidovre, 2650, Denmark
| | - Mats Gulberg
- Q-linea AB, Dag Hammarskjölds Väg 52A, Uppsala, 752 37, Sweden
| | - Mats Nilsson
- Department of Biochemistry and Biophysics, Faculty of Science, Stockholm University, Svante Arrhenius väg 16C, Stockholm, 104 05, Sweden.
- Science for Life Laboratory (SciLifeLab), Tomtebodavägen 23, 171 65, Solna, Sweden.
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13
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Tian L, Liang C, Huang X, Liu Z, Su J, Guo C, Zhu G, Sun J. Genomic epidemiology of dengue in Shantou, China, 2019. Front Public Health 2023; 11:1035060. [PMID: 37522010 PMCID: PMC10374217 DOI: 10.3389/fpubh.2023.1035060] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2022] [Accepted: 06/23/2023] [Indexed: 08/01/2023] Open
Abstract
Objectives Dengue has been endemic in Southeast Asian countries for decades. There are few reports tracing the dynamics of dengue in real time. In this study, we generated hundreds of pathogen genomes to understand the genomic epidemiology of an outbreak in a hyper-endemic area of dengue. Methods We leveraged whole-genome short-read sequencing (PE150) to generate genomes of the dengue virus and investigated the genomic epidemiology of a dengue virus transmission in a mesoscale outbreak in Shantou, China, in 2019. Results The outbreak was sustained from July to December 2019. The total accumulated number of laboratory-confirmed cases was 944. No gender bias or fatalities were recorded. Cambodia and Singapore were the main sources of imported dengue cases (74.07%, n = 20). A total of 284 dengue virus strains were isolated, including 259 DENV-1, 24 DENV-2, and 1 DENV-3 isolates. We generated the entire genome of 252 DENV isolates (229 DENV-1, 22 DENV-2, and 1 DENV-3), which represented 26.7% of the total cases. Combined epidemiological and phylogenetic analyses indicated multiple independent introductions. The internal transmission evaluations and transmission network reconstruction supported the inference of phylodynamic analysis, with high Bayes factor support in BSSVS analysis. Two expansion founders and transmission chains were detected in CCH and LG of Shantou. Conclusions We observed the instant effects of genomic epidemiology in monitoring the dynamics of DENV and highlighted its prospects for real-time tracing of outbreaks of other novel agents in the future.
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Affiliation(s)
- Lina Tian
- Guangdong Provincial Center for Disease Control and Prevention, Guangdong Provincial Institute of Public Health, Guangzhou, China
- Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China
- School of Mathematics and Computing Science, Guilin University of Electronic Technology, Guilin, China
| | - Chumin Liang
- Guangdong Provincial Center for Disease Control and Prevention, Guangdong Provincial Institute of Public Health, Guangzhou, China
- Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China
| | - Xiaorong Huang
- Guangdong Provincial Center for Disease Control and Prevention, Guangdong Provincial Institute of Public Health, Guangzhou, China
- Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China
- School of Public Health, Southern Medical University, Guangzhou, China
| | - Zhe Liu
- Guangdong Provincial Center for Disease Control and Prevention, Guangdong Provincial Institute of Public Health, Guangzhou, China
- Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China
| | - Juan Su
- Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China
| | - Chuan Guo
- Center for Disease Control and Prevention of Shantou City, Shantou, Guangdong, China
| | - Guanghu Zhu
- School of Mathematics and Computing Science, Guilin University of Electronic Technology, Guilin, China
| | - Jiufeng Sun
- Guangdong Provincial Center for Disease Control and Prevention, Guangdong Provincial Institute of Public Health, Guangzhou, China
- Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China
- School of Public Health, Southern Medical University, Guangzhou, China
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14
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de Moraes L, Portilho MM, Vrancken B, Van den Broeck F, Santos LA, Cucco M, Tauro LB, Kikuti M, Silva MMO, Campos GS, Reis MG, Barral A, Barral-Netto M, Boaventura VS, Vandamme AM, Theys K, Lemey P, Ribeiro GS, Khouri R. Analyses of Early ZIKV Genomes Are Consistent with Viral Spread from Northeast Brazil to the Americas. Viruses 2023; 15:1236. [PMID: 37376536 DOI: 10.3390/v15061236] [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: 04/13/2023] [Revised: 05/19/2023] [Accepted: 05/23/2023] [Indexed: 06/29/2023] Open
Abstract
The Americas, particularly Brazil, were greatly impacted by the widespread Zika virus (ZIKV) outbreak in 2015 and 2016. Efforts were made to implement genomic surveillance of ZIKV as part of the public health responses. The accuracy of spatiotemporal reconstructions of the epidemic spread relies on the unbiased sampling of the transmission process. In the early stages of the outbreak, we recruited patients exhibiting clinical symptoms of arbovirus-like infection from Salvador and Campo Formoso, Bahia, in Northeast Brazil. Between May 2015 and June 2016, we identified 21 cases of acute ZIKV infection and subsequently recovered 14 near full-length sequences using the amplicon tiling multiplex approach with nanopore sequencing. We performed a time-calibrated discrete phylogeographic analysis to trace the spread and migration history of the ZIKV. Our phylogenetic analysis supports a consistent relationship between ZIKV migration from Northeast to Southeast Brazil and its subsequent dissemination beyond Brazil. Additionally, our analysis provides insights into the migration of ZIKV from Brazil to Haiti and the role Brazil played in the spread of ZIKV to other countries, such as Singapore, the USA, and the Dominican Republic. The data generated by this study enhances our understanding of ZIKV dynamics and supports the existing knowledge, which can aid in future surveillance efforts against the virus.
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Affiliation(s)
- Laise de Moraes
- Programa de Pós-Graduação em Ciências da Saúde, Faculdade de Medicina da Bahia, Universidade Federal da Bahia, Salvador 40026-010, Brazil
- Laboratório de Enfermidades Infecciosas Transmitidas por Vetores, Instituto Gonçalo Moniz, Fundação Oswaldo Cruz, Salvador 40296-710, Brazil
| | - Moyra M Portilho
- Laboratório de Patologia e Biologia Molecular, Instituto Gonçalo Moniz, Fundação Oswaldo Cruz, Salvador 40296-710, Brazil
| | - Bram Vrancken
- Department of Microbiology, Immunology and Transplantation, Rega Institute for Medical Research, Clinical and Epidemiological Virology, KU Leuven, 3000 Leuven, Belgium
- Spatial Epidemiology Lab (SpELL), Université Libre de Bruxelles, 1050 Bruxelles, Belgium
| | - Frederik Van den Broeck
- Department of Microbiology, Immunology and Transplantation, Rega Institute for Medical Research, Clinical and Epidemiological Virology, KU Leuven, 3000 Leuven, Belgium
- Department of Biomedical Sciences, Antwerp Institute of Tropical Medicine, 2000 Antwerp, Belgium
| | - Luciane Amorim Santos
- Programa de Pós-Graduação em Ciências da Saúde, Faculdade de Medicina da Bahia, Universidade Federal da Bahia, Salvador 40026-010, Brazil
- Laboratório de Enfermidades Infecciosas Transmitidas por Vetores, Instituto Gonçalo Moniz, Fundação Oswaldo Cruz, Salvador 40296-710, Brazil
- Escola Bahiana de Medicina e Saúde Pública, Salvador 41150-100, Brazil
| | - Marina Cucco
- Programa de Pós-Graduação em Ciências da Saúde, Faculdade de Medicina da Bahia, Universidade Federal da Bahia, Salvador 40026-010, Brazil
- Laboratório de Enfermidades Infecciosas Transmitidas por Vetores, Instituto Gonçalo Moniz, Fundação Oswaldo Cruz, Salvador 40296-710, Brazil
| | - Laura B Tauro
- Laboratório de Patologia e Biologia Molecular, Instituto Gonçalo Moniz, Fundação Oswaldo Cruz, Salvador 40296-710, Brazil
- Instituto de Biología Subtropical, Consejo Nacional de Investigaciones Científicas y Técnicas, Universidad Nacional de Misiones, Puerto Iguazú N3370, Argentina
| | - Mariana Kikuti
- Laboratório de Patologia e Biologia Molecular, Instituto Gonçalo Moniz, Fundação Oswaldo Cruz, Salvador 40296-710, Brazil
| | - Monaise M O Silva
- Laboratório de Patologia e Biologia Molecular, Instituto Gonçalo Moniz, Fundação Oswaldo Cruz, Salvador 40296-710, Brazil
| | - Gúbio S Campos
- Laboratório de Virologia, Instituto de Ciências da Saúde, Universidade Federal da Bahia, Salvador 40231-300, Brazil
| | - Mitermayer G Reis
- Laboratório de Patologia e Biologia Molecular, Instituto Gonçalo Moniz, Fundação Oswaldo Cruz, Salvador 40296-710, Brazil
- Departamento de Patologia e Medicina Legal, Faculdade de Medicina da Bahia, Universidade Federal da Bahia, Salvador 40110-100, Brazil
| | - Aldina Barral
- Laboratório de Enfermidades Infecciosas Transmitidas por Vetores, Instituto Gonçalo Moniz, Fundação Oswaldo Cruz, Salvador 40296-710, Brazil
| | - Manoel Barral-Netto
- Laboratório de Inflamação e Biomarcadores, Instituto Gonçalo Moniz, Fundação Oswaldo Cruz, Salvador 40296-710, Brazil
| | - Viviane Sampaio Boaventura
- Laboratório de Enfermidades Infecciosas Transmitidas por Vetores, Instituto Gonçalo Moniz, Fundação Oswaldo Cruz, Salvador 40296-710, Brazil
- Hospital Santa Izabel, Salvador 40050-410, Brazil
| | - Anne-Mieke Vandamme
- Department of Microbiology, Immunology and Transplantation, Rega Institute for Medical Research, Clinical and Epidemiological Virology, KU Leuven, 3000 Leuven, Belgium
- Center for Global Health and Tropical Medicine, Instituto de Higiene e Medicina Tropical, Universidade Nova de Lisboa, 1349-008 Lisbon, Portugal
| | - Kristof Theys
- Department of Microbiology, Immunology and Transplantation, Rega Institute for Medical Research, Clinical and Epidemiological Virology, KU Leuven, 3000 Leuven, Belgium
| | - Philippe Lemey
- Department of Microbiology, Immunology and Transplantation, Rega Institute for Medical Research, Clinical and Epidemiological Virology, KU Leuven, 3000 Leuven, Belgium
| | - Guilherme S Ribeiro
- Laboratório de Patologia e Biologia Molecular, Instituto Gonçalo Moniz, Fundação Oswaldo Cruz, Salvador 40296-710, Brazil
- Departamento de Medicina Preventiva e Social, Faculdade de Medicina da Bahia, Universidade Federal da Bahia, Salvador 40110-100, Brazil
| | - Ricardo Khouri
- Programa de Pós-Graduação em Ciências da Saúde, Faculdade de Medicina da Bahia, Universidade Federal da Bahia, Salvador 40026-010, Brazil
- Laboratório de Enfermidades Infecciosas Transmitidas por Vetores, Instituto Gonçalo Moniz, Fundação Oswaldo Cruz, Salvador 40296-710, Brazil
- Department of Microbiology, Immunology and Transplantation, Rega Institute for Medical Research, Clinical and Epidemiological Virology, KU Leuven, 3000 Leuven, Belgium
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15
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Chapman M, Barnes AN. A scoping review of waterborne and water-related disease in the Florida environment from 1999 to 2022. REVIEWS ON ENVIRONMENTAL HEALTH 2023:reveh-2022-0249. [PMID: 37148256 DOI: 10.1515/reveh-2022-0249] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/20/2022] [Accepted: 04/17/2023] [Indexed: 05/08/2023]
Abstract
Florida's environments are suitable reservoirs for many disease-causing agents. Pathogens and toxins in Florida waterways have the potential to infect mosquito vectors, animals, and human hosts. Through a scoping review of the scientific literature published between 1999 and 2022, we examined the presence of water-related pathogens, toxins, and toxin-producers in the Florida environment and the potential risk factors for human exposure. Nineteen databases were searched using keywords relating to the waterborne, water-based toxins, and water-related vector-borne diseases which are reportable to the Florida Department of Health. Of the 10,439 results, 84 titles were included in the final qualitative analysis. The resulting titles included environmental samples of water, mosquitoes, algae, sand, soil/sediment, air, food, biofilm, and other media. Many of the waterborne, water-related vector-borne, and water-based toxins and toxin-producers of public health and veterinary importance from our search were found to be present in Florida environments. Interactions with Florida waterways can expose humans and animals to disease and toxins due to nearby human and/or animal activity, proximal animal or human waste, failing or inadequate water and/or sanitation, weather patterns, environmental events, and seasonality, contaminated food items, preference of agent for environmental media, high-risk populations, urban development and population movement, and unregulated and unsafe environmental activities. A One Health approach will be imperative to maintaining healthy waterways and shared environments throughout the state to protect the health of humans, animals, and our ecosystems.
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Affiliation(s)
- McKinley Chapman
- Department of Public Health, University of North Florida, Jacksonville, FL, USA
| | - Amber N Barnes
- Department of Public Health, University of North Florida, Jacksonville, FL, USA
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16
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Wilke ABB, Damian D, Litvinova M, Byrne T, Zardini A, Poletti P, Merler S, Mutebi JP, Townsend J, Ajelli M. Spatiotemporal distribution of vector mosquito species and areas at risk for arbovirus transmission in Maricopa County, Arizona. Acta Trop 2023; 240:106833. [PMID: 36736524 DOI: 10.1016/j.actatropica.2023.106833] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2022] [Revised: 01/08/2023] [Accepted: 01/10/2023] [Indexed: 02/04/2023]
Abstract
Mosquito-borne diseases are a major global public health concern and mosquito surveillance systems are essential for the implementation of effective mosquito control strategies. The objective of our study is to determine the spatiotemporal distribution of vector mosquito species in Maricopa County, AZ from 2011 to 2021, and to identify the hotspot areas for West Nile virus (WNV) and St. Louis Encephalitis virus (SLEV) transmission in 2021. The Maricopa County Mosquito Control surveillance system utilizes BG-Sentinel and EVS-CDC traps throughout the entire urban and suburban areas of the county. We estimated specific mosquito species relative abundance per unit area using the Kernel density estimator in ArcGIS 10.2. We calculated the distance between all traps in the surveillance system and created a 4 km buffer radius around each trap to calculate the extent to which each trap deviated from the mean number of Culex quinquefasciatus and Culex tarsalis collected in 2021. Our results show that vector mosquito species are widely distributed and abundant in the urban areas of Maricopa County. A total of 691,170Cx. quinquefasciatus, 542,733 Cx. tarsalis, and 292,305 Aedes aegypti were collected from 2011 to 2022. The relative abundance of Ae. aegypti was highly seasonal peaking in the third and fourth quarters of the year. Culex quinquefasciatus, on the other hand, was abundant throughout the year with several regions consistently yielding high numbers of mosquitoes. Culex tarsalis was abundant but it only reached high numbers in well-defined areas near irrigated landscapes. We also detected high levels of heterogeneity in the risk of WNV and SLEV transmission to humans disregarding traps geographical proximity. The well-defined species-specific spatiotemporal and geographical patterns found in this study can be used to inform vector control operations.
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Affiliation(s)
- André B B Wilke
- Laboratory for Computational Epidemiology and Public Health, Department of Epidemiology and Biostatistics, Indiana University School of Public Health, Bloomington, IN, USA.
| | - Dan Damian
- Maricopa County Environmental Services, Department Vector Control Division, Phoenix, AZ, USA
| | - Maria Litvinova
- Laboratory for Computational Epidemiology and Public Health, Department of Epidemiology and Biostatistics, Indiana University School of Public Health, Bloomington, IN, USA
| | - Thomas Byrne
- Center for Healthcare Organization and Implementation Research, VA Bedford Healthcare System, Bedford, MA, USA; Boston University School of Social Work, Boston, MA, USA
| | - Agnese Zardini
- Center for Health Emergencies, Bruno Kessler Foundation, Trento, Italy
| | - Piero Poletti
- Center for Health Emergencies, Bruno Kessler Foundation, Trento, Italy
| | - Stefano Merler
- Center for Health Emergencies, Bruno Kessler Foundation, Trento, Italy
| | - John-Paul Mutebi
- Arboviral Diseases Branch (ADB), Division of Vector-Borne Diseases (DVBD), Centers for Disease Control and Prevention (CDC), Fort Collins, CO, USA
| | - John Townsend
- Maricopa County Environmental Services, Department Vector Control Division, Phoenix, AZ, USA
| | - Marco Ajelli
- Laboratory for Computational Epidemiology and Public Health, Department of Epidemiology and Biostatistics, Indiana University School of Public Health, Bloomington, IN, USA.
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17
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Gangavarapu K, Latif AA, Mullen JL, Alkuzweny M, Hufbauer E, Tsueng G, Haag E, Zeller M, Aceves CM, Zaiets K, Cano M, Zhou X, Qian Z, Sattler R, Matteson NL, Levy JI, Lee RTC, Freitas L, Maurer-Stroh S, Suchard MA, Wu C, Su AI, Andersen KG, Hughes LD. Outbreak.info genomic reports: scalable and dynamic surveillance of SARS-CoV-2 variants and mutations. Nat Methods 2023; 20:512-522. [PMID: 36823332 PMCID: PMC10399614 DOI: 10.1038/s41592-023-01769-3] [Citation(s) in RCA: 87] [Impact Index Per Article: 87.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2022] [Accepted: 01/17/2023] [Indexed: 02/25/2023]
Abstract
In response to the emergence of SARS-CoV-2 variants of concern, the global scientific community, through unprecedented effort, has sequenced and shared over 11 million genomes through GISAID, as of May 2022. This extraordinarily high sampling rate provides a unique opportunity to track the evolution of the virus in near real-time. Here, we present outbreak.info , a platform that currently tracks over 40 million combinations of Pango lineages and individual mutations, across over 7,000 locations, to provide insights for researchers, public health officials and the general public. We describe the interpretable visualizations available in our web application, the pipelines that enable the scalable ingestion of heterogeneous sources of SARS-CoV-2 variant data and the server infrastructure that enables widespread data dissemination via a high-performance API that can be accessed using an R package. We show how outbreak.info can be used for genomic surveillance and as a hypothesis-generation tool to understand the ongoing pandemic at varying geographic and temporal scales.
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Affiliation(s)
- Karthik Gangavarapu
- Department of Human Genetics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA.
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA.
| | - Alaa Abdel Latif
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA
| | - Julia L Mullen
- Department of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA, USA
| | - Manar Alkuzweny
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA
- Department of Biological Sciences, University of Notre Dame, Notre Dame, IN, USA
| | - Emory Hufbauer
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA
| | - Ginger Tsueng
- Department of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA, USA
| | - Emily Haag
- Department of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA, USA
| | - Mark Zeller
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA
| | - Christine M Aceves
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA
| | - Karina Zaiets
- Department of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA, USA
| | - Marco Cano
- Department of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA, USA
| | - Xinghua Zhou
- Department of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA, USA
| | - Zhongchao Qian
- Department of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA, USA
| | - Rachel Sattler
- Skaggs Graduate School of Biological and Chemical Sciences, The Scripps Research Institute, La Jolla, CA, USA
| | - Nathaniel L Matteson
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA
| | - Joshua I Levy
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA
| | - Raphael T C Lee
- GISAID Global Data Science Initiative, Munich, Germany
- Bioinformatics Institute & ID Labs, Agency for Science Technology and Research, Singapore, Singapore
| | - Lucas Freitas
- GISAID Global Data Science Initiative, Munich, Germany
- Oswaldo Cruz Foundation (FIOCRUZ), Rio de Janeiro, Brazil
| | - Sebastian Maurer-Stroh
- GISAID Global Data Science Initiative, Munich, Germany
- Bioinformatics Institute & ID Labs, Agency for Science Technology and Research, Singapore, Singapore
- National Centre for Infectious Diseases, Ministry of Health, Singapore, Singapore
- Department of Biological Sciences, National University of Singapore, Singapore, Singapore
| | - Marc A Suchard
- Department of Human Genetics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
- Department of Biomathematics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
- Department of Biostatistics, Fielding School of Public Health, University of California Los Angeles, Los Angeles, CA, USA
| | - Chunlei Wu
- Department of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA, USA
- Scripps Research Translational Institute, La Jolla, CA, USA
- Department of Molecular Medicine, The Scripps Research Institute, La Jolla, CA, USA
| | - Andrew I Su
- Department of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA, USA
- Scripps Research Translational Institute, La Jolla, CA, USA
- Department of Molecular Medicine, The Scripps Research Institute, La Jolla, CA, USA
| | - Kristian G Andersen
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA
- Scripps Research Translational Institute, La Jolla, CA, USA
| | - Laura D Hughes
- Department of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA, USA.
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18
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Ong'era EM, Mohammed KS, Makori TO, Bejon P, Ocholla-Oyier LI, Nokes DJ, Agoti CN, Githinji G. High-throughput sequencing approaches applied to SARS-CoV-2. Wellcome Open Res 2023. [DOI: 10.12688/wellcomeopenres.18701.1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/03/2023] Open
Abstract
High-throughput sequencing is crucial for surveillance and control of viral outbreaks. During the ongoing coronavirus disease 2019 (COVID-19) pandemic, advances in the high-throughput sequencing technology resources have enhanced diagnosis, surveillance, and vaccine discovery. From the onset of the pandemic in December 2019, several genome-sequencing approaches have been developed and supported across the major sequencing platforms such as Illumina, Oxford Nanopore, PacBio, MGI DNBSEQTM and Ion Torrent. Here, we share insights from the sequencing approaches developed for sequencing of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) between December 2019 and October 2022.
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19
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Milne R, Patch C. Ethical Challenges Associated with Pathogen and Host Genetics in Infectious Disease. New Bioeth 2023; 29:24-36. [PMID: 35972296 DOI: 10.1080/20502877.2022.2109697] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/15/2022]
Abstract
The Covid-19 pandemic has demonstrated the potential of genomic technologies for the detection and surveillance of infectious diseases. Pathogen genomics is likely to play a major role in the future of research and clinical implementation of genomic technologies. However, unlike human genetics, the specific ethical and social challenges associated with the implementation of infectious disease genomics has received comparatively little attention. In this paper, we contribute to this literature, focusing on the potential consequences for individuals and communities of the use of these technologies. We concentrate on areas of challenges related to privacy, stigma, discrimination and the return of results in the cases of the surveillance of known pathogens, metagenomics and host genomics.
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Affiliation(s)
- Richard Milne
- Engagement and Society, Wellcome Connecting Science, Hinxton, UK.,Kavli Centre for Ethics, Science and the Public, University of Cambridge, Cambridge, UK
| | - Christine Patch
- Engagement and Society, Wellcome Connecting Science, Hinxton, UK
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20
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Using Multiplex Amplicon PCR Technology to Efficiently and Timely Generate Rift Valley Fever Virus Sequence Data for Genomic Surveillance. Viruses 2023; 15:v15020477. [PMID: 36851690 PMCID: PMC9961268 DOI: 10.3390/v15020477] [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: 01/12/2023] [Revised: 02/04/2023] [Accepted: 02/05/2023] [Indexed: 02/11/2023] Open
Abstract
Rift Valley fever (RVF) is a febrile vector-borne disease endemic in Africa and continues to spread in new territories. It is a climate-sensitive disease mostly triggered by abnormal rainfall patterns. The disease is associated with high mortality and morbidity in both humans and livestock. RVF is caused by the Rift Valley fever virus (RVFV) of the genus Phlebovirus in the family Phenuiviridae. It is a tripartite RNA virus with three genomic segments: small (S), medium (M) and large (L). Pathogen genomic sequencing is becoming a routine procedure and a powerful tool for understanding the evolutionary dynamics of infectious organisms, including viruses. Inspired by the utility of amplicon-based sequencing demonstrated in severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) and Ebola, Zika and West Nile viruses, we report an RVFV sample preparation based on amplicon multiplex polymerase chain reaction (amPCR) for template enrichment and reduction of background host contamination. The technology can be implemented rapidly to characterize and genotype RVFV during outbreaks in a near-real-time manner. To achieve this, we designed 74 multiplex primer sets covering the entire RVFV genome to specifically amplify the nucleic acid of RVFV in clinical samples from an animal tissue. Using this approach, we demonstrate achieving complete RVFV genome coverage even from samples containing a relatively low viral load. We report the first primer scheme approach of generating multiplex primer sets for a tripartite virus which can be replicated for other segmented viruses.
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21
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Oliveira G, Vogels CBF, Zolfaghari A, Saraf S, Klitting R, Weger-Lucarelli J, P. Leon K, Ontiveros CO, Agarwal R, Tsetsarkin KA, Harris E, Ebel GD, Wohl S, Grubaugh ND, Andersen KG. Genomic and phenotypic analyses suggest moderate fitness differences among Zika virus lineages. PLoS Negl Trop Dis 2023; 17:e0011055. [PMID: 36753510 PMCID: PMC9907835 DOI: 10.1371/journal.pntd.0011055] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2022] [Accepted: 12/22/2022] [Indexed: 02/09/2023] Open
Abstract
RNA viruses have short generation times and high mutation rates, allowing them to undergo rapid molecular evolution during epidemics. However, the extent of RNA virus phenotypic evolution within epidemics and the resulting effects on fitness and virulence remain mostly unknown. Here, we screened the 2015-2016 Zika epidemic in the Americas for lineage-specific fitness differences. We engineered a library of recombinant viruses representing twelve major Zika virus lineages and used them to measure replicative fitness within disease-relevant human primary cells and live mosquitoes. We found that two of these lineages conferred significant in vitro replicative fitness changes among human primary cells, but we did not find fitness changes in Aedes aegypti mosquitoes. Additionally, we found evidence for elevated levels of positive selection among five amino acid sites that define major Zika virus lineages. While our work suggests that Zika virus may have acquired several phenotypic changes during a short time scale, these changes were relatively moderate and do not appear to have enhanced transmission during the epidemic.
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Affiliation(s)
- Glenn Oliveira
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, California, United States of America
| | - Chantal B. F. Vogels
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, Connecticut, United States of America
| | - Ashley Zolfaghari
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, California, United States of America
| | - Sharada Saraf
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, California, United States of America
| | - Raphaelle Klitting
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, California, United States of America
| | - James Weger-Lucarelli
- Department of Biomedical Sciences and Pathobiology, Virginia-Maryland College of Veterinary Medicine, Virginia Tech, Blacksburg, Virginia, United States of America
| | - Karla P. Leon
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, California, United States of America
| | - Carlos O. Ontiveros
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, California, United States of America
| | - Rimjhim Agarwal
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, California, United States of America
| | - Konstantin A. Tsetsarkin
- Laboratory of Infectious Diseases, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland, United States of America
| | - Eva Harris
- Division of Infectious Diseases and Vaccinology, School of Public Health, University of California, Berkeley, Berkeley, California, United States of America
| | - Gregory D. Ebel
- Department of Microbiology, Immunology and Pathology, College of Veterinary Medicine and Biomedical Sciences, Colorado State University, Fort Collins, Colorado, United States of America
| | - Shirlee Wohl
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, California, United States of America
| | - Nathan D. Grubaugh
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, Connecticut, United States of America
- * E-mail: (NDG); (KGA)
| | - Kristian G. Andersen
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, California, United States of America
- * E-mail: (NDG); (KGA)
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22
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Carlson CJ, Bannon E, Mendenhall E, Newfield T, Bansal S. Rapid range shifts in African Anopheles mosquitoes over the last century. Biol Lett 2023; 19:20220365. [PMID: 36789530 PMCID: PMC9929507 DOI: 10.1098/rsbl.2022.0365] [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] [Indexed: 02/16/2023] Open
Abstract
Facing a warming climate, many tropical species-including the arthropod vectors of several infectious diseases-will be displaced to higher latitudes and elevations. These shifts are frequently projected for the future, but rarely documented in the present day. Here, we use one of the most comprehensive datasets ever compiled by medical entomologists to track the observed range limits of African malaria mosquito vectors (Anopheles spp.) from 1898 to 2016. Using a simple regression approach, we estimate that these species' ranges gained an average of 6.5 m of elevation per year, and the southern limits of their ranges moved polewards 4.7 km per year. These shifts would be consistent with the local velocity of recent climate change, and might help explain the incursion of malaria transmission into new areas over the past few decades. Confirming that climate change underlies these shifts, and applying similar methods to other disease vectors, are important directions for future research.
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Affiliation(s)
- Colin J Carlson
- Department of Biology, Georgetown University, Washington, DC 20057, USA
| | - Ellen Bannon
- Science, Technology, and International Affairs Program, Edmund A. Walsh School of Foreign Service, Georgetown University, Washington, DC 20057, USA
| | - Emily Mendenhall
- Science, Technology, and International Affairs Program, Edmund A. Walsh School of Foreign Service, Georgetown University, Washington, DC 20057, USA
| | - Timothy Newfield
- Department of Biology, Georgetown University, Washington, DC 20057, USA.,Department of History, Georgetown University, Washington, DC 20057, USA
| | - Shweta Bansal
- Department of Biology, Georgetown University, Washington, DC 20057, USA
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23
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Li N, Dong L. Real-time digital data of international passengers will shine in the precaution of epidemics. INTELLIGENT MEDICINE 2023; 3:44-45. [PMID: 36312891 PMCID: PMC9595419 DOI: 10.1016/j.imed.2022.10.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 07/07/2022] [Revised: 09/27/2022] [Accepted: 10/10/2022] [Indexed: 11/05/2022]
Abstract
International movement plays an important role in spatial spread of infectious diseases. Here, we share two successful COVID-19 interventions based on real-time digital information collected from international passengers, which have been performed in Greece and China respectively. Both of the interventions demonstrated good performance and showed the potential of real-time digital data in containing the spread. However, several key points should not be ignored when we promote similar strategies.
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Affiliation(s)
- Naizhe Li
- MOE Key Laboratory For Biodiversity Science And Ecological Engineering, College of Life Sciences, Beijing Normal University, Beijing 100091, China.,State Key Laboratory of Remote Sensing Science, Center for Global Change and Public Health, College of Global Change and Earth System Science, Beijing Normal University, Beijing 100091, China
| | - Lu Dong
- MOE Key Laboratory For Biodiversity Science And Ecological Engineering, College of Life Sciences, Beijing Normal University, Beijing 100091, China
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24
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Diverse pathways toward a cure. iScience 2023; 26:106052. [PMID: 36994187 PMCID: PMC10040886 DOI: 10.1016/j.isci.2023.106052] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/18/2023] Open
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25
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Zuckerman NS, Shulman LM. Next-Generation Sequencing in the Study of Infectious Diseases. Infect Dis (Lond) 2023. [DOI: 10.1007/978-1-0716-2463-0_1090] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/10/2023] Open
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26
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Stein RA, Grayon A, Katz A, Chervenak FA. The Zika virus: an opportunity to revisit reproductive health needs and disparities. Germs 2022; 12:519-537. [PMID: 38021183 PMCID: PMC10660223 DOI: 10.18683/germs.2022.1357] [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: 08/30/2022] [Revised: 10/24/2022] [Accepted: 12/29/2022] [Indexed: 12/01/2023]
Abstract
First isolated in 1947, the Zika virus was initially connected only to limited or sporadic human infections. In late 2015, the temporal clustering of a Zika outbreak and microcephaly in newborn babies from northeastern Brazil, and the identification of a causal link between the two, led to the characterization of the congenital Zika syndrome. In the wake of the epidemic, several countries from Latin America advised women to postpone pregnancies for periods ranging from six months to two years. These recommendations initiated critical conversations about the challenges of implementing them in societies with limited access to contraception, widespread socioeconomic inequalities, and high rates of unplanned and adolescent pregnancies. The messaging targeted exclusively women, despite a high prevalence of imbalances in the relationship power, and addressed all women as a group, failing to recognize that the decision to postpone pregnancies will impact different women in different ways, depending on their age at the time. Finally, in several countries affected by the Zika epidemic, due to restrictive reproductive policies, legally terminating a pregnancy is no longer an option even at the earliest time when brain malformations as part of the congenital Zika syndrome can be detected by ultrasonography. The virus continued to circulate after 2016 in several countries. Climate change models predict an expansion of the geographical area where local Zika transmission may occur, indicating that the interface between the virus, teratogenesis, and reproductive rights is a topic of considerable interest for medicine, social sciences, and public health for years to come.
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Affiliation(s)
- Richard A. Stein
- MD, PhD, NYU Tandon School of Engineering, Department of Chemical and Biomolecular Engineering, 6 MetroTech Center, Brooklyn 11201, NY, USA
| | - Alexis Grayon
- NYU Tandon School of Engineering, Department of Chemical and Biomolecular Engineering, 6 MetroTech Center, Brooklyn 11201, NY, USA
| | - Adi Katz
- MD, Department of Obstetrics and Gynecology, Lenox Hill Hospital, Donald and Barbara Zucker School of Medicine at Hofstra Northwell, 110 E 77th Street, New York, NY, 10075, USA
| | - Frank A. Chervenak
- MD, Department of Obstetrics and Gynecology, Lenox Hill Hospital, Donald and Barbara Zucker School of Medicine at Hofstra Northwell, 110 E 77th Street, New York, NY, 10075, USA
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27
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Lamb MM, Paniagua-Avila A, Zacarias A, Rojop N, Chacon A, Natrajan MS, Waggoner JJ, Lopez MR, Cordon-Rosales C, Huleatt JW, Bonaparte MI, Asturias EJ, Olson D. Repeated Rapid Active Sampling Surveys Demonstrated a Rapidly Changing Zika Seroprevalence among Children in a Rural Dengue-endemic Region in Southwest Guatemala during the Zika Epidemic (2015-2016). Am J Trop Med Hyg 2022; 107:1099-1106. [PMID: 36252798 PMCID: PMC9709015 DOI: 10.4269/ajtmh.22-0399] [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: 06/13/2022] [Accepted: 08/08/2022] [Indexed: 11/07/2022] Open
Abstract
Although Central America is largely dengue virus (DENV)-endemic, the 2015-2016 Zika virus (ZIKV) pandemic brought new urgency to develop surveillance approaches capable of characterizing the rapidly changing disease burden in resource-limited settings. We conducted a pediatric DENV surveillance study in rural Guatemala, including serial cross-sectional surveys from April through September 2015 (Survey 1), in October-November 2015 (Survey 2), and January-February 2016 (Survey 3). Serum underwent DENV IgM MAC ELISA and polymerase chain reaction testing. Using banked specimens from Surveys 2 and 3, we expanded testing to include DENV 1-4 and ZIKV microneutralization (MN50), DENV NS1 IgG ELISA, and ZIKV anti-NS1 antibody Blockage of Binding (BoB) ELISA testing. Demographic risk factors for ZIKV BoB positivity were explored using multivariable generalized linear regression models. Of Survey 2 and 3 samples available (N = 382), DENV seroprevalence slightly increased (+1%-10% depending on the assay) during the surveillance period and increased with age. In contrast, ZIKV seroprevalence consistently increased over the 3-month period, including from 6% to 34% (P < 0.0001) and 10%-37% (P < 0.0001) using the MN50 ≥100 and BoB ELISA assays, respectively. Independent risk factors for ZIKV seropositivity included older age (prevalence ratio (PR)/year = 1.12, 95% confidence interval (CI) = 1.07-1.17) and primary caregiver literacy (PR = 2.80, CI = 1.30-6.06). Rapid active surveillance (RAS) surveys demonstrated a nearly 30% increase in ZIKV prevalence and a slight (≤ 10%) increase in DENV seroprevalence from October to November 2015 to January to February 2016 in rural southwest Guatemala, regardless of serologic assay used. RAS surveys may be a useful "off-the-shelf" tool to characterize arboviruses and other emerging pathogens rapidly in resource-limited settings.
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Affiliation(s)
- Molly M. Lamb
- Department of Epidemiology and Center for Global Health, Colorado School of Public Health, Aurora, Colorado
| | - Alejandra Paniagua-Avila
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York
- Center for Human Development, Fundacion para la Salud Integral de los Guatemaltecos, FUNSALUD, Coatepeque, Quetzaltenango, Guatemala
| | - Alma Zacarias
- Center for Human Development, Fundacion para la Salud Integral de los Guatemaltecos, FUNSALUD, Coatepeque, Quetzaltenango, Guatemala
| | - Neudy Rojop
- Center for Human Development, Fundacion para la Salud Integral de los Guatemaltecos, FUNSALUD, Coatepeque, Quetzaltenango, Guatemala
| | - Andrea Chacon
- Center for Human Development, Fundacion para la Salud Integral de los Guatemaltecos, FUNSALUD, Coatepeque, Quetzaltenango, Guatemala
| | - Muktha S. Natrajan
- Emory University Department of Medicine, Division of Infectious Diseases, Atlanta, Georgia
| | - Jesse J. Waggoner
- Emory University Department of Medicine, Division of Infectious Diseases, Atlanta, Georgia
| | - Maria Renee Lopez
- Centro de Estudios en Salud, Universidad del Valle de Guatemala, Guatemala City, Guatemala
| | - Celia Cordon-Rosales
- Centro de Estudios en Salud, Universidad del Valle de Guatemala, Guatemala City, Guatemala
| | | | | | - Edwin J. Asturias
- Department of Epidemiology and Center for Global Health, Colorado School of Public Health, Aurora, Colorado
- Department of Pediatrics, University of Colorado School of Medicine, Aurora, Colorado
| | - Daniel Olson
- Department of Epidemiology and Center for Global Health, Colorado School of Public Health, Aurora, Colorado
- Department of Pediatrics, University of Colorado School of Medicine, Aurora, Colorado
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28
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Brazer N, Morris MK, Servellita V, Anglin K, Saldhi P, Garcia-Knight M, Bethancourt S, Sotomayor-Gonzalez A, Wang B, Foresythe A, Nguyen J, Gliwa AS, Pineda-Ramirez J, Sanchez RD, Zhang Y, Ott M, Wadford DA, Andino R, Kelly JD, Hanson C, Chiu C. Neutralizing Immunity Induced Against the Omicron BA.1 and BA.2 Variants in Vaccine Breakthrough Infections. J Infect Dis 2022; 226:1688-1698. [PMID: 36134603 PMCID: PMC9619439 DOI: 10.1093/infdis/jiac384] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2022] [Revised: 09/10/2022] [Accepted: 09/20/2022] [Indexed: 11/29/2022] Open
Abstract
BACKGROUND As of early 2022, the Omicron variants are the predominant circulating lineages globally. Understanding neutralizing antibody responses against Omicron BA.1 and BA.2 after vaccine breakthrough infections will provide insights into BA.2 infectivity and susceptibility to subsequent reinfection. METHODS Live virus neutralization assays were used to study immunity against Delta and Omicron BA.1 and BA.2 variants in samples from 86 individuals, 24 unvaccinated (27.9%) and 62 vaccinated (72.1%), who were infected with Delta (n = 42, 48.8%) or BA.1 (n = 44, 51.2%). Among the 62 vaccinated individuals, 39 were unboosted (62.9%), whereas 23 were boosted (37.1%). RESULTS In unvaccinated infections, neutralizing antibodies (nAbs) against the three variants were weak or undetectable, except against Delta for Delta-infected individuals. Both Delta and BA.1 breakthrough infections resulted in strong nAb responses against ancestral wild-type and Delta lineages, but moderate nAb responses against BA.1 and BA.2, with similar titers between unboosted and boosted individuals. Antibody titers against BA.2 were generally higher than those against BA.1 in breakthrough infections. CONCLUSIONS These results underscore the decreased immunogenicity of BA.1 compared to BA.2, insufficient neutralizing immunity against BA.2 in unvaccinated individuals, and moderate to strong neutralizing immunity induced against BA.2 in Delta and BA.1 breakthrough infections.
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Affiliation(s)
- Noah Brazer
- Department of Laboratory Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - Mary Kate Morris
- Viral and Rickettsial Disease Laboratory, California Department of Public Health, Richmond, CA, USA
| | - Venice Servellita
- Department of Laboratory Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - Khamal Anglin
- Department of Epidemiology and Biostatistics, University of California, San Francisco, CA, USA
| | - Prachi Saldhi
- Department of Laboratory Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - Miguel Garcia-Knight
- Department of Microbiology and Immunology, University of California, San Francisco, San Francisco, CA, USA
| | - Sutana Bethancourt
- Viral and Rickettsial Disease Laboratory, California Department of Public Health, Richmond, CA, USA
| | | | - Baolin Wang
- Department of Laboratory Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - Abiodun Foresythe
- Department of Laboratory Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - Jenny Nguyen
- Department of Laboratory Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - Amelia S Gliwa
- Department of Laboratory Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - Jesus Pineda-Ramirez
- Department of Epidemiology and Biostatistics, University of California, San Francisco, CA, USA
| | - Ruth Diaz Sanchez
- Department of Epidemiology and Biostatistics, University of California, San Francisco, CA, USA
| | - Yueyuan Zhang
- Department of Laboratory Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - Melanie Ott
- California Institute for Quantitative Biosciences (QB3), University of California, Berkeley, CA, USA
- Gladstone Institutes, San Francisco, CA, USA
- Innovative Genomics Institute, University of California Berkeley, CA, USA
- Department of Medicine, University of California San Francisco, San Francisco, CA, USA
| | - Debra A Wadford
- Viral and Rickettsial Disease Laboratory, California Department of Public Health, Richmond, CA, USA
| | - Raul Andino
- Department of Microbiology and Immunology, University of California, San Francisco, San Francisco, CA, USA
| | - J Daniel Kelly
- Department of Epidemiology and Biostatistics, University of California, San Francisco, CA, USA
| | - Carl Hanson
- Viral and Rickettsial Disease Laboratory, California Department of Public Health, Richmond, CA, USA
| | - Charles Chiu
- Department of Laboratory Medicine, University of California, San Francisco, San Francisco, CA, USA
- Innovative Genomics Institute, University of California Berkeley, CA, USA
- Department of Medicine, University of California San Francisco, San Francisco, CA, USA
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29
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Douglas J, Winter D, McNeill A, Carr S, Bunce M, French N, Hadfield J, de Ligt J, Welch D, Geoghegan JL. Tracing the international arrivals of SARS-CoV-2 Omicron variants after Aotearoa New Zealand reopened its border. Nat Commun 2022; 13:6484. [PMID: 36309507 PMCID: PMC9617600 DOI: 10.1038/s41467-022-34186-9] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2022] [Accepted: 10/18/2022] [Indexed: 12/25/2022] Open
Abstract
In the second quarter of 2022, there was a global surge of emergent SARS-CoV-2 lineages that had a distinct growth advantage over then-dominant Omicron BA.1 and BA.2 lineages. By generating 10,403 Omicron genomes, we show that Aotearoa New Zealand observed an influx of these immune-evasive variants (BA.2.12.1, BA.4, and BA.5) through the border. This is explained by the return to significant levels of international travel following the border's reopening in March 2022. We estimate one Omicron transmission event from the border to the community for every ~5,000 passenger arrivals at the current levels of travel and restriction. Although most of these introductions did not instigate any detected onward transmission, a small minority triggered large outbreaks. Genomic surveillance at the border provides a lens on the rate at which new variants might gain a foothold and trigger new waves of infection.
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Affiliation(s)
- Jordan Douglas
- grid.9654.e0000 0004 0372 3343Centre for Computational Evolution,School of Computer Science, University of Auckland, Auckland, New Zealand
| | - David Winter
- grid.419706.d0000 0001 2234 622XInstitute of Environmental Science and Research, Wellington, New Zealand
| | - Andrea McNeill
- grid.419706.d0000 0001 2234 622XInstitute of Environmental Science and Research, Wellington, New Zealand
| | - Sam Carr
- grid.419706.d0000 0001 2234 622XInstitute of Environmental Science and Research, Wellington, New Zealand
| | - Michael Bunce
- grid.419706.d0000 0001 2234 622XInstitute of Environmental Science and Research, Wellington, New Zealand
| | - Nigel French
- grid.148374.d0000 0001 0696 9806Tāwharau Ora/School of Veterinary Science, Massey University, Palmerston North, New Zealand ,grid.419706.d0000 0001 2234 622XTe Niwha, Infectious Diseases Research Platform, Institute of Environmental Science and Research, Palmerston North, New Zealand
| | - James Hadfield
- grid.270240.30000 0001 2180 1622Fred Hutchinson Cancer Research Centre, Seattle, WA USA
| | - Joep de Ligt
- grid.419706.d0000 0001 2234 622XInstitute of Environmental Science and Research, Wellington, New Zealand
| | - David Welch
- grid.9654.e0000 0004 0372 3343Centre for Computational Evolution,School of Computer Science, University of Auckland, Auckland, New Zealand
| | - Jemma L. Geoghegan
- grid.419706.d0000 0001 2234 622XInstitute of Environmental Science and Research, Wellington, New Zealand ,grid.29980.3a0000 0004 1936 7830Department of Microbiology and Immunology, University of Otago, Dunedin, New Zealand
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30
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Alam MM, Mavian C, Okech BA, White SK, Stephenson CJ, Elbadry MA, Blohm GM, Loeb JC, Louis R, Saleem C, Madsen Beau de Rochars VE, Salemi M, Lednicky JA, Morris JG. Analysis of Zika Virus Sequence Data Associated with a School Cohort in Haiti. Am J Trop Med Hyg 2022; 107:873-880. [PMID: 36096408 PMCID: PMC9651511 DOI: 10.4269/ajtmh.22-0204] [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: 03/14/2022] [Accepted: 05/11/2022] [Indexed: 11/07/2022] Open
Abstract
Zika virus (ZIKV) infections occurred in epidemic form in the Americas in 2014-2016, with some of the earliest isolates in the region coming from Haiti. We isolated ZIKV from 20 children with acute undifferentiated febrile illness who were part of a cohort of children seen at a school clinic in the Gressier region of Haiti. The virus was also isolated from three pools of Aedes aegypti mosquitoes collected at the same location. On phylogenetic analysis, three distinct ZIKV clades were identified. Strains from all three clades were present in Haiti in 2014, making them among the earliest isolates identified in the Western Hemisphere. Strains from all three clades were also isolated in 2016, indicative of their persistence across the time period of the epidemic. Mosquito isolates were collected in 2016 and included representatives from two of the three clades; in one instance, ZIKV was isolated from a pool of male mosquitoes, suggestive of vertical transmission of the virus. The identification of multiple ZIKV clades in Haiti at the beginning of the epidemic suggests that Haiti served as a nidus for transmission within the Caribbean.
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Affiliation(s)
- Md. Mahbubul Alam
- Emerging Pathogens Institute, University of Florida, Gainesville, Florida
- Department of Environmental and Global Health, College of Public Health and Health Professions, University of Florida, Gainesville, Florida
| | - Carla Mavian
- Emerging Pathogens Institute, University of Florida, Gainesville, Florida
- Department of Pathology, Immunology, and Laboratory Medicine, College of Medicine, University of Florida, Gainesville, Florida
| | - Bernard A. Okech
- Emerging Pathogens Institute, University of Florida, Gainesville, Florida
- Department of Environmental and Global Health, College of Public Health and Health Professions, University of Florida, Gainesville, Florida
| | - Sarah K. White
- Emerging Pathogens Institute, University of Florida, Gainesville, Florida
- Department of Environmental and Global Health, College of Public Health and Health Professions, University of Florida, Gainesville, Florida
| | - Caroline J. Stephenson
- Emerging Pathogens Institute, University of Florida, Gainesville, Florida
- Department of Environmental and Global Health, College of Public Health and Health Professions, University of Florida, Gainesville, Florida
| | - Maha A. Elbadry
- Emerging Pathogens Institute, University of Florida, Gainesville, Florida
- Department of Environmental and Global Health, College of Public Health and Health Professions, University of Florida, Gainesville, Florida
| | - Gabriela M. Blohm
- Emerging Pathogens Institute, University of Florida, Gainesville, Florida
- Department of Environmental and Global Health, College of Public Health and Health Professions, University of Florida, Gainesville, Florida
| | - Julia C. Loeb
- Emerging Pathogens Institute, University of Florida, Gainesville, Florida
- Department of Environmental and Global Health, College of Public Health and Health Professions, University of Florida, Gainesville, Florida
| | - Rigan Louis
- Emerging Pathogens Institute, University of Florida, Gainesville, Florida
- State University of Haiti Faculty of Medicine and Pharmacy, Port-au-Prince, Haiti
| | - Cyrus Saleem
- Emerging Pathogens Institute, University of Florida, Gainesville, Florida
| | - Valery E. Madsen Beau de Rochars
- Emerging Pathogens Institute, University of Florida, Gainesville, Florida
- Department of Health Services Research, Management and Policy, College of Public Health and Health Professions, University of Florida, Gainesville, Florida
| | - Marco Salemi
- Emerging Pathogens Institute, University of Florida, Gainesville, Florida
- Department of Pathology, Immunology, and Laboratory Medicine, College of Medicine, University of Florida, Gainesville, Florida
| | - John A. Lednicky
- Emerging Pathogens Institute, University of Florida, Gainesville, Florida
- Department of Environmental and Global Health, College of Public Health and Health Professions, University of Florida, Gainesville, Florida
| | - J. Glenn Morris
- Emerging Pathogens Institute, University of Florida, Gainesville, Florida
- Department of Medicine, College of Medicine, University of Florida, Gainesville, Florida
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31
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Inward RPD, Parag KV, Faria NR. Using multiple sampling strategies to estimate SARS-CoV-2 epidemiological parameters from genomic sequencing data. Nat Commun 2022; 13:5587. [PMID: 36151084 PMCID: PMC9508174 DOI: 10.1038/s41467-022-32812-0] [Citation(s) in RCA: 2] [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] [Received: 03/04/2022] [Accepted: 08/16/2022] [Indexed: 11/09/2022] Open
Abstract
The choice of viral sequences used in genetic and epidemiological analysis is important as it can induce biases that detract from the value of these rich datasets. This raises questions about how a set of sequences should be chosen for analysis. We provide insights on these largely understudied problems using SARS-CoV-2 genomic sequences from Hong Kong, China, and the Amazonas State, Brazil. We consider multiple sampling schemes which were used to estimate Rt and rt as well as related R0 and date of origin parameters. We find that both Rt and rt are sensitive to changes in sampling whilst R0 and the date of origin are relatively robust. Moreover, we find that analysis using unsampled datasets result in the most biased Rt and rt estimates for both our Hong Kong and Amazonas case studies. We highlight that sampling strategy choices may be an influential yet neglected component of sequencing analysis pipelines.
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Affiliation(s)
| | - Kris V Parag
- MRC Centre of Global Infectious Disease Analysis, Jameel Institute for Disease and Emergency Analytics, Imperial College London, London, UK.
- NIHR Health Protection Research Unit in Behavioural Science and Evaluation, University of Bristol, Bristol, UK.
| | - Nuno R Faria
- Department of Zoology, University of Oxford, Oxford, UK.
- MRC Centre of Global Infectious Disease Analysis, Jameel Institute for Disease and Emergency Analytics, Imperial College London, London, UK.
- Instituto de Medicina Tropical, Faculdade de Medicina da Universidade de Sao Paulo, Sao Paulo, Brazil.
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32
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Attwood SW, Hill SC, Aanensen DM, Connor TR, Pybus OG. Phylogenetic and phylodynamic approaches to understanding and combating the early SARS-CoV-2 pandemic. Nat Rev Genet 2022; 23:547-562. [PMID: 35459859 PMCID: PMC9028907 DOI: 10.1038/s41576-022-00483-8] [Citation(s) in RCA: 45] [Impact Index Per Article: 22.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/23/2022] [Indexed: 01/05/2023]
Abstract
Determining the transmissibility, prevalence and patterns of movement of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections is central to our understanding of the impact of the pandemic and to the design of effective control strategies. Phylogenies (evolutionary trees) have provided key insights into the international spread of SARS-CoV-2 and enabled investigation of individual outbreaks and transmission chains in specific settings. Phylodynamic approaches combine evolutionary, demographic and epidemiological concepts and have helped track virus genetic changes, identify emerging variants and inform public health strategy. Here, we review and synthesize studies that illustrate how phylogenetic and phylodynamic techniques were applied during the first year of the pandemic, and summarize their contributions to our understanding of SARS-CoV-2 transmission and control.
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Affiliation(s)
- Stephen W Attwood
- Department of Zoology, University of Oxford, Oxford, UK.
- Pathogen Genomics Unit, Public Health Wales NHS Trust, Cardiff, UK.
| | - Sarah C Hill
- Department of Pathobiology and Population Sciences, Royal Veterinary College, University of London, London, UK
| | - David M Aanensen
- Centre for Genomic Pathogen Surveillance, Wellcome Genome Campus, Hinxton, UK
- Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - Thomas R Connor
- Pathogen Genomics Unit, Public Health Wales NHS Trust, Cardiff, UK
- School of Biosciences, Cardiff University, Cardiff, UK
| | - Oliver G Pybus
- Department of Zoology, University of Oxford, Oxford, UK.
- Department of Pathobiology and Population Sciences, Royal Veterinary College, University of London, London, UK.
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33
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Domazetovska A, Jensen SO, Gray M, Radzieta M, Maley M. Culture-Free Phylogenetic Analysis of Legionella pneumophila Using Targeted CRISPR/Cas9 Next-Generation Sequencing. Microbiol Spectr 2022; 10:e0035922. [PMID: 35862996 PMCID: PMC9430934 DOI: 10.1128/spectrum.00359-22] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2022] [Accepted: 06/19/2022] [Indexed: 11/20/2022] Open
Abstract
Currently available methods for the laboratory investigation of Legionella pneumophila outbreaks require organism culture. The ability to sequence L. pneumophila directly from clinical samples would significantly reduce delays. Here, we develop a method for targeted next-generation sequencing (NGS) of selected L. pneumophila genes utilizing a CRISPR/Cas9-based target enrichment system. We determine the method's utility by typing cultured L. pneumophila isolates and subsequently apply the method directly to patient samples. We sequenced 10 L. pneumophila isolates by 2 methods, (i) whole-genome sequencing (WGS) and (ii) targeted (CRISPR/Cas9-based) finding low-abundance sequences by hybridization (FLASH)-NGS, sequencing 57 selected genes. The targeted NGS of 57 genes was more efficient than WGS, and phylogenetic analysis of the 57 genes yielded the same classification of the L. pneumophila isolates as that based on analysis of whole-genome data. Furthermore, targeted NGS of L. pneumophila performed directly on patient respiratory samples correctly classified the patients according to their corresponding cultured isolates. This provides proof of concept that targeted NGS can be used to sequence L. pneumophila directly from patient samples. Studies on a larger number of patient samples will further validate this method. Nonetheless, CRISPR/Cas9 targeted NGS methods have the potential to be widely applicable to microbial-outbreak investigations in the future, particularly in the context of difficult and slow-growing organisms. IMPORTANCE The bacterium Legionella pneumophila is responsible for outbreaks of serious and life-threatening pneumonia called Legionnaires' disease. There is a need for new molecular methods that allow investigation of Legionella outbreaks directly from patient samples, without the need for prior microbiological culture, which causes delays. Our study aims to address this problem. We have utilized a CRISPR/Cas9-based targeted next-generation sequencing (NGS) method that can be applied directly on human specimens. Furthermore, we show that analysis of the sequences of a small number of targeted genes offers the same classification of L. pneumophila as that based on data derived from the whole genome. Given the rising interest globally in sequencing pathogens directly from human samples, CRISPR/Cas9 targeted NGS methods have the potential to be widely applicable to microbial-outbreak investigations in the future, particularly in the context of difficult and slow-growing organisms.
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Affiliation(s)
- Ana Domazetovska
- Department of Microbiology and Infectious Diseases, Liverpool Hospital, Liverpool, New South Wales, Australia
- NSW Health Pathology, Microbiology, Liverpool Hospital, Liverpool, New South Wales, Australia
- Antibiotic Resistance and Mobile Elements Group, Ingham Institute of Applied Medical Research, Sydney, Australia
| | - Slade O. Jensen
- Infectious Diseases and Microbiology, School of Medicine, Western Sydney University, Sydney, Australia
- Antibiotic Resistance and Mobile Elements Group, Ingham Institute of Applied Medical Research, Sydney, Australia
| | - Matthew Gray
- NSW Health Pathology, Microbiology, Liverpool Hospital, Liverpool, New South Wales, Australia
| | - Michael Radzieta
- Infectious Diseases and Microbiology, School of Medicine, Western Sydney University, Sydney, Australia
- Antibiotic Resistance and Mobile Elements Group, Ingham Institute of Applied Medical Research, Sydney, Australia
| | - Michael Maley
- Department of Microbiology and Infectious Diseases, Liverpool Hospital, Liverpool, New South Wales, Australia
- NSW Health Pathology, Microbiology, Liverpool Hospital, Liverpool, New South Wales, Australia
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34
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Gangavarapu K, Latif AA, Mullen JL, Alkuzweny M, Hufbauer E, Tsueng G, Haag E, Zeller M, Aceves CM, Zaiets K, Cano M, Zhou J, Qian Z, Sattler R, Matteson NL, Levy JI, Lee RTC, Freitas L, Maurer-Stroh S, Suchard MA, Wu C, Su AI, Andersen KG, Hughes LD. Outbreak.info genomic reports: scalable and dynamic surveillance of SARS-CoV-2 variants and mutations. RESEARCH SQUARE 2022:rs.3.rs-1723829. [PMID: 35794893 PMCID: PMC9258294 DOI: 10.21203/rs.3.rs-1723829/v1] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/17/2023]
Abstract
The emergence of SARS-CoV-2 variants of concern has prompted the need for near real-time genomic surveillance to inform public health interventions. In response to this need, the global scientific community, through unprecedented effort, has sequenced and shared over 11 million genomes through GISAID, as of May 2022. This extraordinarily high sampling rate provides a unique opportunity to track the evolution of the virus in near real-time. Here, we present outbreak.info, a platform that currently tracks over 40 million combinations of PANGO lineages and individual mutations, across over 7,000 locations, to provide insights for researchers, public health officials, and the general public. We describe the interpretable and opinionated visualizations in the variant and location focussed reports available in our web application, the pipelines that enable the scalable ingestion of heterogeneous sources of SARS-CoV-2 variant data, and the server infrastructure that enables widespread data dissemination via a high performance API that can be accessed using an R package. We present a case study that illustrates how outbreak.info can be used for genomic surveillance and as a hypothesis generation tool to understand the ongoing pandemic at varying geographic and temporal scales. With an emphasis on scalability, interactivity, interpretability, and reusability, outbreak.info provides a template to enable genomic surveillance at a global and localized scale.
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Affiliation(s)
- Karthik Gangavarapu
- Department of Human Genetics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA 90095, USA
| | - Alaa Abdel Latif
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Julia L. Mullen
- Department of Integrative, Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Manar Alkuzweny
- Department of Biological Sciences, University of Notre Dame, Notre Dame, IN 46556, USA
| | - Emory Hufbauer
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Ginger Tsueng
- Department of Integrative, Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Emily Haag
- Department of Integrative, Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Mark Zeller
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Christine M. Aceves
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Karina Zaiets
- Department of Integrative, Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Marco Cano
- Department of Integrative, Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Jerry Zhou
- Department of Integrative, Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Zhongchao Qian
- Department of Integrative, Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Rachel Sattler
- Skaggs Graduate School of Biological and Chemical Sciences, The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Nathaniel L Matteson
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Joshua I. Levy
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Raphael TC Lee
- GISAID Global Data Science Initiative (GISAID), Munich, Germany
- Bioinformatics Institute & ID Labs, Agency for Science Technology and Research, Singapore
| | - Lucas Freitas
- GISAID Global Data Science Initiative (GISAID), Munich, Germany
- Oswaldo Cruz Foundation (FIOCRUZ), Rio de Janeiro, Brazil
| | - Sebastian Maurer-Stroh
- GISAID Global Data Science Initiative (GISAID), Munich, Germany
- Bioinformatics Institute & ID Labs, Agency for Science Technology and Research, Singapore
- National Centre for Infectious Diseases, Ministry of Health, Singapore
- Department of Biological Sciences, National University of Singapore, Singapore
| | | | - Marc A. Suchard
- Department of Human Genetics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA 90095, USA
- Department of Biomathematics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA 90095, USA
- Department of Biostatistics, Fielding School of Public Health, University of California Los Angeles, Los Angeles, CA 90095, USA
| | - Chunlei Wu
- Department of Integrative, Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA 92037, USA
- Scripps Research Translational Institute, La Jolla, CA 92037, USA
- Department of Molecular Medicine, The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Andrew I. Su
- Department of Integrative, Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA 92037, USA
- Scripps Research Translational Institute, La Jolla, CA 92037, USA
- Department of Molecular Medicine, The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Kristian G. Andersen
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA 92037, USA
- Scripps Research Translational Institute, La Jolla, CA 92037, USA
| | - Laura D. Hughes
- Department of Integrative, Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA 92037, USA
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35
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Wilke ABB, Vasquez C, Carvajal A, Moreno M, Petrie WD, Beier JC. Mosquito surveillance in maritime entry ports in Miami-Dade County, Florida to increase preparedness and allow the early detection of invasive mosquito species. PLoS One 2022; 17:e0267224. [PMID: 35427409 PMCID: PMC9012365 DOI: 10.1371/journal.pone.0267224] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2021] [Accepted: 04/04/2022] [Indexed: 11/25/2022] Open
Abstract
Invasive mosquito vector species have been inadvertently transported to new areas by humans for decades. Strong evidence supports that monitoring maritime, terrestrial, and aerial points of entry is an essential part of the effort to curb the invasion and establishment of invasive vector mosquito species. Miami-Dade County, Florida is an important operational hub for the cruise ship industry and leisure boats that routinely visit nearby areas in the Caribbean, and freight cargo ships transporting goods from Miami-Dade to Caribbean countries and vice versa. To deal with the increasing public health concern, we hypothesized that mosquito surveillance in small- and medium-sized maritime ports of entry in Miami-Dade is crucial to allow the early detection of invasive mosquito species. Therefore, we have selected 12 small- and medium-sized maritime ports of entry in Miami-Dade County with an increased flow of people and commodities that were not covered by the current mosquito surveillance system. Collection sites were comprised of two distinct environments, four marinas with international traffic of leisure boats, and eight maintenance and commercial freight cargo ship ports. Mosquitoes were collected weekly at each of the 12 collection sites for 24 hours for 6 weeks in the Spring and then for 6 additional weeks in the Summer using BG-Sentinel traps. A total of 32,590 mosquitoes were collected, with Culex quinquefasciatus and Aedes aegypti being the most abundant species totaling 19,987 and 11,247 specimens collected, respectively. Our results show that important mosquito vector species were present in great numbers in all of the 12 maritime ports of entry surveyed during this study. The relative abundance of Cx. quinquefasciatus and Ae. aegypti was substantially higher in the commercial freight cargo ship ports than in the marinas. These results indicate that even though both areas are conducive for the proliferation of vector mosquitoes, the port area in the Miami River is especially suitable for the proliferation of vector mosquitoes. Therefore, this potentially allows the establishment of invasive mosquito species inadvertently brought in by cargo freights.
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Affiliation(s)
- André B. B. Wilke
- Department of Public Health Sciences, Miller School of Medicine, University of Miami, Miami, FL, United States of America
- * E-mail:
| | - Chalmers Vasquez
- Miami-Dade County Mosquito Control Division, Miami, FL, United States of America
| | - Augusto Carvajal
- Miami-Dade County Mosquito Control Division, Miami, FL, United States of America
| | - Maday Moreno
- Miami-Dade County Mosquito Control Division, Miami, FL, United States of America
| | - William D. Petrie
- Miami-Dade County Mosquito Control Division, Miami, FL, United States of America
| | - John C. Beier
- Department of Public Health Sciences, Miller School of Medicine, University of Miami, Miami, FL, United States of America
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36
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Karthikeyan S, Levy JI, De Hoff P, Humphrey G, Birmingham A, Jepsen K, Farmer S, Tubb HM, Valles T, Tribelhorn CE, Tsai R, Aigner S, Sathe S, Moshiri N, Henson B, Mark AM, Hakim A, Baer NA, Barber T, Belda-Ferre P, Chacón M, Cheung W, Cresini ES, Eisner ER, Lastrella AL, Lawrence ES, Marotz CA, Ngo TT, Ostrander T, Plascencia A, Salido RA, Seaver P, Smoot EW, McDonald D, Neuhard RM, Scioscia AL, Satterlund AM, Simmons EH, Abelman DB, Brenner D, Bruner JC, Buckley A, Ellison M, Gattas J, Gonias SL, Hale M, Hawkins F, Ikeda L, Jhaveri H, Johnson T, Kellen V, Kremer B, Matthews G, McLawhon RW, Ouillet P, Park D, Pradenas A, Reed S, Riggs L, Sanders A, Sollenberger B, Song A, White B, Winbush T, Aceves CM, Anderson C, Gangavarapu K, Hufbauer E, Kurzban E, Lee J, Matteson NL, Parker E, Perkins SA, Ramesh KS, Robles-Sikisaka R, Schwab MA, Spencer E, Wohl S, Nicholson L, Mchardy IH, Dimmock DP, Hobbs CA, Bakhtar O, Harding A, Mendoza A, Bolze A, Becker D, Cirulli ET, Isaksson M, Barrett KMS, Washington NL, Malone JD, Schafer AM, Gurfield N, Stous S, Fielding-Miller R, Garfein RS, Gaines T, Anderson C, Martin NK, Schooley R, Austin B, MacCannell DR, Kingsmore SF, Lee W, Shah S, McDonald E, Yu AT, Zeller M, Fisch KM, Longhurst C, Maysent P, Pride D, Khosla PK, Laurent LC, Yeo GW, Andersen KG, Knight R. Wastewater sequencing uncovers early, cryptic SARS-CoV-2 variant transmission. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2022. [PMID: 35411350 DOI: 10.1101/2022.01.27.22269965] [Citation(s) in RCA: 44] [Impact Index Per Article: 22.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/16/2023]
Abstract
As SARS-CoV-2 continues to spread and evolve, detecting emerging variants early is critical for public health interventions. Inferring lineage prevalence by clinical testing is infeasible at scale, especially in areas with limited resources, participation, or testing/sequencing capacity, which can also introduce biases. SARS-CoV-2 RNA concentration in wastewater successfully tracks regional infection dynamics and provides less biased abundance estimates than clinical testing. Tracking virus genomic sequences in wastewater would improve community prevalence estimates and detect emerging variants. However, two factors limit wastewater-based genomic surveillance: low-quality sequence data and inability to estimate relative lineage abundance in mixed samples. Here, we resolve these critical issues to perform a high-resolution, 295-day wastewater and clinical sequencing effort, in the controlled environment of a large university campus and the broader context of the surrounding county. We develop and deploy improved virus concentration protocols and deconvolution software that fully resolve multiple virus strains from wastewater. We detect emerging variants of concern up to 14 days earlier in wastewater samples, and identify multiple instances of virus spread not captured by clinical genomic surveillance. Our study provides a scalable solution for wastewater genomic surveillance that allows early detection of SARS-CoV-2 variants and identification of cryptic transmission.
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Affiliation(s)
- Smruthi Karthikeyan
- Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Joshua I Levy
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA
| | - Peter De Hoff
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
- Department of Obstetrics, Gynecology, and Reproductive Sciences, University of California San Diego, La Jolla, CA, USA
- COVID-19 Detection, Investigation, Surveillance, Clinical, and Outbreak Response, California Department of Public Health, Richmond, CA, USA
| | - Greg Humphrey
- Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Amanda Birmingham
- Center for Computational Biology and Bioinformatics, University of California San Diego, La Jolla, CA, USA
| | - Kristen Jepsen
- Institute for Genomic Medicine, University of California San Diego, La Jolla, CA, USA
| | - Sawyer Farmer
- Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Helena M Tubb
- Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Tommy Valles
- Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | | | - Rebecca Tsai
- Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Stefan Aigner
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Shashank Sathe
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Niema Moshiri
- Department of Computer Science and Engineering, University of California San Diego, La Jolla, CA, USA
| | - Benjamin Henson
- Institute for Genomic Medicine, University of California San Diego, La Jolla, CA, USA
| | - Adam M Mark
- Center for Computational Biology and Bioinformatics, University of California San Diego, La Jolla, CA, USA
| | - Abbas Hakim
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
- Department of Obstetrics, Gynecology, and Reproductive Sciences, University of California San Diego, La Jolla, CA, USA
- COVID-19 Detection, Investigation, Surveillance, Clinical, and Outbreak Response, California Department of Public Health, Richmond, CA, USA
| | - Nathan A Baer
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Tom Barber
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Pedro Belda-Ferre
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Marisol Chacón
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Willi Cheung
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
- Department of Obstetrics, Gynecology, and Reproductive Sciences, University of California San Diego, La Jolla, CA, USA
- COVID-19 Detection, Investigation, Surveillance, Clinical, and Outbreak Response, California Department of Public Health, Richmond, CA, USA
| | - Evelyn S Cresini
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Emily R Eisner
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Alma L Lastrella
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Elijah S Lawrence
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Clarisse A Marotz
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Toan T Ngo
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Tyler Ostrander
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Ashley Plascencia
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Rodolfo A Salido
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Phoebe Seaver
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Elizabeth W Smoot
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Daniel McDonald
- Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Robert M Neuhard
- Operational Strategic Initiatives, University of California San Diego, La Jolla, CA, USA
- Return to Learn, University of California San Diego, La Jolla, CA, USA
| | - Angela L Scioscia
- Student Health and Well-Being, University of California San Diego, La Jolla, CA, USA
- Department of Obstetrics, Gynecology, and Reproductive Sciences, University of California San Diego, La Jolla, CA, USA
| | | | | | - Dismas B Abelman
- Return to Learn, University of California San Diego, La Jolla, CA, USA
| | - David Brenner
- Return to Learn, University of California San Diego, La Jolla, CA, USA
| | - Judith C Bruner
- Return to Learn, University of California San Diego, La Jolla, CA, USA
| | - Anne Buckley
- Return to Learn, University of California San Diego, La Jolla, CA, USA
| | - Michael Ellison
- Return to Learn, University of California San Diego, La Jolla, CA, USA
| | - Jeffrey Gattas
- Return to Learn, University of California San Diego, La Jolla, CA, USA
| | - Steven L Gonias
- Department of Pathology, University of California San Diego, La Jolla, CA, USA
| | - Matt Hale
- Return to Learn, University of California San Diego, La Jolla, CA, USA
| | - Faith Hawkins
- Return to Learn, University of California San Diego, La Jolla, CA, USA
| | - Lydia Ikeda
- Return to Learn, University of California San Diego, La Jolla, CA, USA
| | - Hemlata Jhaveri
- Return to Learn, University of California San Diego, La Jolla, CA, USA
| | - Ted Johnson
- Return to Learn, University of California San Diego, La Jolla, CA, USA
| | - Vince Kellen
- Return to Learn, University of California San Diego, La Jolla, CA, USA
| | - Brendan Kremer
- Return to Learn, University of California San Diego, La Jolla, CA, USA
| | - Gary Matthews
- Return to Learn, University of California San Diego, La Jolla, CA, USA
| | - Ronald W McLawhon
- Return to Learn, University of California San Diego, La Jolla, CA, USA
| | - Pierre Ouillet
- Return to Learn, University of California San Diego, La Jolla, CA, USA
| | - Daniel Park
- Return to Learn, University of California San Diego, La Jolla, CA, USA
| | - Allorah Pradenas
- Return to Learn, University of California San Diego, La Jolla, CA, USA
| | - Sharon Reed
- Return to Learn, University of California San Diego, La Jolla, CA, USA
| | - Lindsay Riggs
- Return to Learn, University of California San Diego, La Jolla, CA, USA
| | - Alison Sanders
- Return to Learn, University of California San Diego, La Jolla, CA, USA
| | | | - Angela Song
- Operational Strategic Initiatives, University of California San Diego, La Jolla, CA, USA
- Return to Learn, University of California San Diego, La Jolla, CA, USA
| | - Benjamin White
- Return to Learn, University of California San Diego, La Jolla, CA, USA
| | - Terri Winbush
- Return to Learn, University of California San Diego, La Jolla, CA, USA
| | - Christine M Aceves
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA
| | - Catelyn Anderson
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA
| | - Karthik Gangavarapu
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA
| | - Emory Hufbauer
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA
| | - Ezra Kurzban
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA
| | - Justin Lee
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA
| | - Nathaniel L Matteson
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA
| | - Edyth Parker
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA
| | - Sarah A Perkins
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA
| | - Karthik S Ramesh
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA
| | - Refugio Robles-Sikisaka
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA
| | - Madison A Schwab
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA
| | - Emily Spencer
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA
| | - Shirlee Wohl
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA
| | - Laura Nicholson
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA
| | - Ian H Mchardy
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA
| | - David P Dimmock
- Rady Children's Institute for Genomic Medicine, San Diego, CA, USA
| | | | | | | | | | | | | | | | | | | | | | - John D Malone
- County of San Diego Health and Human Services Agency, San Diego, CA, USA
| | | | - Nikos Gurfield
- County of San Diego Health and Human Services Agency, San Diego, CA, USA
| | - Sarah Stous
- County of San Diego Health and Human Services Agency, San Diego, CA, USA
| | - Rebecca Fielding-Miller
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla, CA, USA
- Division of Infectious Disease and Global Public Health, University of California San Diego, La Jolla, CA, USA
| | - Richard S Garfein
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla, CA, USA
| | - Tommi Gaines
- Division of Infectious Disease and Global Public Health, University of California San Diego, La Jolla, CA, USA
| | - Cheryl Anderson
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla, CA, USA
| | - Natasha K Martin
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla, CA, USA
| | - Robert Schooley
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla, CA, USA
| | | | - Duncan R MacCannell
- Office of Advanced Molecular Detection, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | | | | | - Seema Shah
- County of San Diego Health and Human Services Agency, San Diego, CA, USA
| | - Eric McDonald
- County of San Diego Health and Human Services Agency, San Diego, CA, USA
| | - Alexander T Yu
- COVID-19 Detection, Investigation, Surveillance, Clinical, and Outbreak Response, California Department of Public Health, Richmond, CA, USA
| | - Mark Zeller
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA
| | - Kathleen M Fisch
- Center for Computational Biology and Bioinformatics, University of California San Diego, La Jolla, CA, USA
- Department of Obstetrics, Gynecology, and Reproductive Sciences, University of California San Diego, La Jolla, CA, USA
| | - Christopher Longhurst
- Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
- Department of Biomedical Informatics, University of California, San Diego, La Jolla, California, USA
| | - Patty Maysent
- Office of the UC San Diego Health CEO, University of California, San Diego
| | - David Pride
- Departments of Pathology and Medicine, University of California, San Diego, La Jolla, CA
| | - Pradeep K Khosla
- Department of Computer Science and Engineering, University of California San Diego, La Jolla, CA, USA
| | - Louise C Laurent
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
- Department of Obstetrics, Gynecology, and Reproductive Sciences, University of California San Diego, La Jolla, CA, USA
- Sanford Consortium of Regenerative Medicine, University of California San Diego, La Jolla, CA
| | - Gene W Yeo
- Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
- Sanford Consortium of Regenerative Medicine, University of California San Diego, La Jolla, CA
- Department of Cellular and Molecular Medicine, University of California San Diego, La Jolla, CA
| | - Kristian G Andersen
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, USA
| | - Rob Knight
- Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
- Department of Computer Science and Engineering, University of California San Diego, La Jolla, CA, USA
- Department of Bioengineering, University of California San Diego, La Jolla, CA, USA
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Lee K, Pusterla N, Barnum SM, Lee DH, Martínez-López B. Investigation of cross-regional spread and evolution of equine influenza H3N8 at US and global scales using Bayesian phylogeography based on balanced subsampling. Transbound Emerg Dis 2022; 69:e1734-e1748. [PMID: 35263501 DOI: 10.1111/tbed.14509] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2021] [Revised: 03/03/2022] [Accepted: 03/05/2022] [Indexed: 11/28/2022]
Abstract
Equine influenza virus (EIV) is a highly contagious pathogen of equids, and a well-known burden in global equine health. EIV H3N8 variants seasonally emerged and resulted in EIV outbreaks in the United States (US) and worldwide. The present study evaluated the pattern of cross-regional EIV H3N8 spread and evolutionary characteristics at US and global scales using Bayesian phylogeography with balanced subsampling based on regional horse population size. A total of 297 Haemagglutinin (HA) sequences of global EIV H3N8 were collected from 1963 to 2019 and subsampled to global subset (n = 67), raw US sequences (n = 100) and US subset (n = 44) datasets. Discrete trait phylogeography analysis was used to estimate the transmission history of EIV using four global and US genome datasets. The North American lineage was the major source of globally dominant EIV variants and spread to other global regions. The US EIV strains generally spread from the southern and midwestern regions to other regions. The EIV H3N8 accumulated approximately three nucleotide substitutions per year in the HA gene under heterogenous local positive selection. Our findings will guide better decision making of target intervention strategies of EIV H3N8 infection and provide the better scheme of genomic surveillance in the US and global equine health. This article is protected by copyright. All rights reserved.
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Affiliation(s)
- Kyuyoung Lee
- Center for Animal Disease Modeling and Surveillance (CADMS), Department of Medicine & Epidemiology, School of Veterinary Medicine, University of California, Davis, USA
| | - Nicola Pusterla
- Department of Medicine & Epidemiology, School Veterinary Medicine, University of California, Davis, USA
| | - Samantha M Barnum
- Department of Medicine & Epidemiology, School Veterinary Medicine, University of California, Davis, USA
| | - Dong-Hun Lee
- College of Veterinary Medicine, Konkuk University, Seoul, Republic of Korea
| | - Beatriz Martínez-López
- Center for Animal Disease Modeling and Surveillance (CADMS), Department of Medicine & Epidemiology, School of Veterinary Medicine, University of California, Davis, USA
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38
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Coatsworth H, Bozic J, Carrillo J, Buckner EA, Rivers AR, Dinglasan RR, Mathias DK. Intrinsic variation in the vertically transmitted core virome of the mosquito Aedes aegypti. Mol Ecol 2022; 31:2545-2561. [PMID: 35229389 DOI: 10.1111/mec.16412] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2021] [Revised: 01/27/2022] [Accepted: 02/17/2022] [Indexed: 11/29/2022]
Abstract
Virome studies among metazoans have revealed the ubiquity of RNA viruses in animals, contributing to a fundamental re-thinking of the relationships between organisms and their microbiota. Mosquito viromes, often scrutinized due to their public health relevance, may also provide insight into broadly applicable concepts, such as a "core virome," a set of viruses consistently associated with a host species or population that may fundamentally impact its basic biology. A subset of mosquito-associated viruses (MAVs) could comprise such a core, and MAVs can be categorized as (i) arboviruses, which alternate between mosquito and vertebrate hosts, (ii) insect-specific viruses, which cannot replicate in vertebrate cells, and (iii) viruses with unknown specificity. MAVs have been widely characterized in the disease vector Aedes aegypti, and the occurrence of a core virome in this species has been proposed but remains unclear. Using a wild population previously surveyed for MAVs and a common laboratory strain, we investigated viromes in reproductive tissue via metagenomic RNA sequencing. Virome composition varied across samples, but four groups comprised >97% of virus sequences: a novel partiti-like virus (Partitiviridae), a toti-like virus (Totiviridae), unclassified Riboviria, and four orthomyxo-like viruses (Orthormyxoviridae). Whole or partial genomes for the partiti-like virus, toti-like virus, and one orthomyxo-like virus were assembled and analyzed phylogenetically. Multigenerational maintenance of these MAVs was confirmed by RT-PCR, indicating vertical transmission as a mechanism for persistence. This study provides fundamental information regarding MAV ecology and variability in A. aegypti and the potential for vertically maintained core viromes at the population level.
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Affiliation(s)
- H Coatsworth
- Emerging Pathogens Institute, University of Florida, Gainesville, Florida, USA.,Department of Infectious Diseases & Immunology, College of Veterinary Medicine, University of Florida, Gainesville, Florida, USA.,CDC Southeastern Center of Excellence in Vector Borne Diseases, Gainesville, Florida, USA
| | - J Bozic
- CDC Southeastern Center of Excellence in Vector Borne Diseases, Gainesville, Florida, USA.,Entomology & Nematology Department, Florida Medical Entomology Laboratory, Institute of Food and Agricultural Sciences, University of Florida, Vero Beach, Florida, USA.,Department of Entomology, the Center for Infectious Disease Dynamics, and the Huck Institutes of the Life Sciences, the Pennsylvania State University, University Park, PA, USA
| | - J Carrillo
- CDC Southeastern Center of Excellence in Vector Borne Diseases, Gainesville, Florida, USA.,Manatee County Mosquito Control District, Palmetto, Florida, USA.,Lacerta Therapeutics, Production and Development, Alachua Florida, USA
| | - E A Buckner
- CDC Southeastern Center of Excellence in Vector Borne Diseases, Gainesville, Florida, USA.,Entomology & Nematology Department, Florida Medical Entomology Laboratory, Institute of Food and Agricultural Sciences, University of Florida, Vero Beach, Florida, USA
| | - A R Rivers
- CDC Southeastern Center of Excellence in Vector Borne Diseases, Gainesville, Florida, USA.,Genomics and Bioinformatics Research Unit, Agricultural Research Service, United States Department of Agriculture, Gainesville, Florida, USA
| | - R R Dinglasan
- Emerging Pathogens Institute, University of Florida, Gainesville, Florida, USA.,Department of Infectious Diseases & Immunology, College of Veterinary Medicine, University of Florida, Gainesville, Florida, USA.,CDC Southeastern Center of Excellence in Vector Borne Diseases, Gainesville, Florida, USA
| | - D K Mathias
- CDC Southeastern Center of Excellence in Vector Borne Diseases, Gainesville, Florida, USA.,Entomology & Nematology Department, Florida Medical Entomology Laboratory, Institute of Food and Agricultural Sciences, University of Florida, Vero Beach, Florida, USA
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Urbanization favors the proliferation of Aedes aegypti and Culex quinquefasciatus in urban areas of Miami-Dade County, Florida. Sci Rep 2021; 11:22989. [PMID: 34836970 PMCID: PMC8626430 DOI: 10.1038/s41598-021-02061-0] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2021] [Accepted: 11/09/2021] [Indexed: 12/20/2022] Open
Abstract
Urbanization processes are increasing globally. Anthropogenic alterations in the environment have profound effects on biodiversity. Decreased biodiversity due to biotic homogenization processes as a consequence of urbanization often result in increased levels of mosquito vector species and vector-borne pathogen transmission. Understanding how anthropogenic alterations in the environment will affect the abundance, richness, and composition of vector mosquito species is crucial for the implementation of effective and targeted mosquito control strategies. We hypothesized that anthropogenic alterations in the environment are responsible for increasing the abundance of mosquito species that are adapted to urban environments such as Aedesaegypti and Culexquinquefasciatus. Therefore, our objective was to survey mosquito relative abundance, richness, and community composition in Miami-Dade County, Florida, in areas with different levels of urbanization. We selected 24 areas, 16 remote areas comprised of natural and rural areas, and 8 urban areas comprised of residential and touristic areas in Miami-Dade County, Florida. Mosquitoes were collected weekly in each area for 24 h for 5 consecutive weeks from August to October 2020 using BG-Sentinel traps baited with dry ice. A total of 36,645 mosquitoes were collected, from which 34,048 were collected in the remote areas and 2,597 in the urban areas. Our results show a clear and well-defined pattern of abundance, richness, and community composition according to anthropogenic modifications in land use and land cover. The more urbanized a given area the fewer species were found and those were primary vectors of arboviruses, Ae.aegypti and Cx.quinquefasciatus.
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40
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Munis AM, Andersson M, Mobbs A, Hyde SC, Gill DR. Genomic diversity of SARS-CoV-2 in Oxford during United Kingdom's first national lockdown. Sci Rep 2021; 11:21484. [PMID: 34728747 PMCID: PMC8564533 DOI: 10.1038/s41598-021-01022-x] [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] [Received: 08/03/2021] [Accepted: 10/18/2021] [Indexed: 12/15/2022] Open
Abstract
Epidemiological efforts to model the spread of SARS-CoV-2, the virus that causes COVID-19, are crucial to understanding and containing current and future outbreaks and to inform public health responses. Mutations that occur in viral genomes can alter virulence during outbreaks by increasing infection rates and helping the virus evade the host immune system. To understand the changes in viral genomic diversity and molecular epidemiology in Oxford during the first wave of infections in the United Kingdom, we analyzed 563 clinical SARS-CoV-2 samples via whole-genome sequencing using Nanopore MinION sequencing. Large-scale surveillance efforts during viral epidemics are likely to be confounded by the number of independent introductions of the viral strains into a region. To avoid such issues and better understand the selection-based changes occurring in the SARS-CoV-2 genome, we utilized local isolates collected during the UK's first national lockdown whereby personal interactions, international and national travel were considerably restricted and controlled. We were able to track the short-term evolution of the virus, detect the emergence of several mutations of concern or interest, and capture the viral diversity of the region. Overall, these results demonstrate genomic pathogen surveillance efforts have considerable utility in controlling the local spread of the virus.
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Affiliation(s)
- Altar M Munis
- Gene Medicine Group, Nuffield Division of Clinical Laboratory Sciences, Radcliffe Department of Medicine, University of Oxford, Oxford, UK
| | | | - Alexander Mobbs
- Oxford University Hospitals NHS Foundation Trust, Oxford, UK
| | - Stephen C Hyde
- Gene Medicine Group, Nuffield Division of Clinical Laboratory Sciences, Radcliffe Department of Medicine, University of Oxford, Oxford, UK
| | - Deborah R Gill
- Gene Medicine Group, Nuffield Division of Clinical Laboratory Sciences, Radcliffe Department of Medicine, University of Oxford, Oxford, UK.
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41
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Muenchhoff M, Graf A, Krebs S, Quartucci C, Hasmann S, Hellmuth JC, Scherer C, Osterman A, Boehm S, Mandel C, Becker-Pennrich AS, Zoller M, Stubbe HC, Munker S, Munker D, Milger K, Gapp M, Schneider S, Ruhle A, Jocham L, Nicolai L, Pekayvaz K, Weinberger T, Mairhofer H, Khatamzas E, Hofmann K, Spaeth PM, Bender S, Kääb S, Zwissler B, Mayerle J, Behr J, von Bergwelt-Baildon M, Reincke M, Grabein B, Hinske CL, Blum H, Keppler OT. Genomic epidemiology reveals multiple introductions of SARS-CoV-2 followed by community and nosocomial spread, Germany, February to May 2020. ACTA ACUST UNITED AC 2021; 26. [PMID: 34713795 PMCID: PMC8555370 DOI: 10.2807/1560-7917.es.2021.26.43.2002066] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
Background In the SARS-CoV-2 pandemic, viral genomes are available at unprecedented speed, but spatio-temporal bias in genome sequence sampling precludes phylogeographical inference without additional contextual data. Aim We applied genomic epidemiology to trace SARS-CoV-2 spread on an international, national and local level, to illustrate how transmission chains can be resolved to the level of a single event and single person using integrated sequence data and spatio-temporal metadata. Methods We investigated 289 COVID-19 cases at a university hospital in Munich, Germany, between 29 February and 27 May 2020. Using the ARTIC protocol, we obtained near full-length viral genomes from 174 SARS-CoV-2-positive respiratory samples. Phylogenetic analyses using the Auspice software were employed in combination with anamnestic reporting of travel history, interpersonal interactions and perceived high-risk exposures among patients and healthcare workers to characterise cluster outbreaks and establish likely scenarios and timelines of transmission. Results We identified multiple independent introductions in the Munich Metropolitan Region during the first weeks of the first pandemic wave, mainly by travellers returning from popular skiing areas in the Alps. In these early weeks, the rate of presumable hospital-acquired infections among patients and in particular healthcare workers was high (9.6% and 54%, respectively) and we illustrated how transmission chains can be dissected at high resolution combining virus sequences and spatio-temporal networks of human interactions. Conclusions Early spread of SARS-CoV-2 in Europe was catalysed by superspreading events and regional hotspots during the winter holiday season. Genomic epidemiology can be employed to trace viral spread and inform effective containment strategies.
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Affiliation(s)
- Maximilian Muenchhoff
- Max von Pettenkofer Institute and Gene Center, Virology, National Reference Center for Retroviruses, LMU München, Munich, Germany.,German Center for Infection Research (DZIF), partner site Munich, Munich, Germany.,COVID-19 Registry of the LMU Munich (CORKUM), University Hospital, LMU Munich, Munich, Germany
| | - Alexander Graf
- Laboratory for Functional Genome Analysis, Gene Center, LMU Munich, Munich, Germany
| | - Stefan Krebs
- Laboratory for Functional Genome Analysis, Gene Center, LMU Munich, Munich, Germany
| | - Caroline Quartucci
- Institute and Clinic for Occupational, Social and Environmental Medicine, University Hospital, LMU Munich, Munich, Germany.,Comprehensive Pneumology Center Munich (CPC-M), Member of the German Center for Lung Research (DZL), Munich, Germany
| | - Sandra Hasmann
- COVID-19 Registry of the LMU Munich (CORKUM), University Hospital, LMU Munich, Munich, Germany.,Department of Medicine IV, University Hospital, LMU Munich, Munich, Germany
| | - Johannes C Hellmuth
- COVID-19 Registry of the LMU Munich (CORKUM), University Hospital, LMU Munich, Munich, Germany.,Department of Medicine III, University Hospital, LMU Munich, Munich, Germany.,German Cancer Consortium (DKTK), Munich, Germany
| | - Clemens Scherer
- Department of Medicine I, University Hospital, LMU Munich, Munich, Germany.,DZHK (German Centre for Cardiovascular Research), partner site Munich Heart Alliance, Munich, Germany.,COVID-19 Registry of the LMU Munich (CORKUM), University Hospital, LMU Munich, Munich, Germany
| | - Andreas Osterman
- Max von Pettenkofer Institute and Gene Center, Virology, National Reference Center for Retroviruses, LMU München, Munich, Germany
| | - Stephan Boehm
- Max von Pettenkofer Institute and Gene Center, Virology, National Reference Center for Retroviruses, LMU München, Munich, Germany
| | - Christopher Mandel
- COVID-19 Registry of the LMU Munich (CORKUM), University Hospital, LMU Munich, Munich, Germany.,Department of Medicine IV, University Hospital, LMU Munich, Munich, Germany
| | - Andrea Sabine Becker-Pennrich
- Department of Anesthesiology, University Hospital, LMU Munich, Munich, Germany.,Department of Medical Information Processing, Biometry and Epidemiology (IBE), LMU Munich, Munich, Germany
| | - Michael Zoller
- Department of Anesthesiology, University Hospital, LMU Munich, Munich, Germany.,COVID-19 Registry of the LMU Munich (CORKUM), University Hospital, LMU Munich, Munich, Germany
| | - Hans Christian Stubbe
- Department of Medicine II, University Hospital, LMU Munich, Munich, Germany.,COVID-19 Registry of the LMU Munich (CORKUM), University Hospital, LMU Munich, Munich, Germany
| | - Stefan Munker
- Department of Medicine II, University Hospital, LMU Munich, Munich, Germany.,COVID-19 Registry of the LMU Munich (CORKUM), University Hospital, LMU Munich, Munich, Germany
| | - Dieter Munker
- Department of Medicine V, University Hospital, LMU Munich, Comprehensive Pneumology Center Munich (CPC-M), Member of the German Center for Lung Research (DZL), Munich, Germany.,COVID-19 Registry of the LMU Munich (CORKUM), University Hospital, LMU Munich, Munich, Germany.,Comprehensive Pneumology Center Munich (CPC-M), Member of the German Center for Lung Research (DZL), Munich, Germany
| | - Katrin Milger
- Department of Medicine V, University Hospital, LMU Munich, Comprehensive Pneumology Center Munich (CPC-M), Member of the German Center for Lung Research (DZL), Munich, Germany.,Comprehensive Pneumology Center Munich (CPC-M), Member of the German Center for Lung Research (DZL), Munich, Germany
| | - Madeleine Gapp
- Max von Pettenkofer Institute and Gene Center, Virology, National Reference Center for Retroviruses, LMU München, Munich, Germany
| | - Stephanie Schneider
- Max von Pettenkofer Institute and Gene Center, Virology, National Reference Center for Retroviruses, LMU München, Munich, Germany
| | - Adrian Ruhle
- Max von Pettenkofer Institute and Gene Center, Virology, National Reference Center for Retroviruses, LMU München, Munich, Germany
| | - Linda Jocham
- Max von Pettenkofer Institute and Gene Center, Virology, National Reference Center for Retroviruses, LMU München, Munich, Germany
| | - Leo Nicolai
- Department of Medicine I, University Hospital, LMU Munich, Munich, Germany.,DZHK (German Centre for Cardiovascular Research), partner site Munich Heart Alliance, Munich, Germany.,COVID-19 Registry of the LMU Munich (CORKUM), University Hospital, LMU Munich, Munich, Germany
| | - Kami Pekayvaz
- Department of Medicine I, University Hospital, LMU Munich, Munich, Germany.,DZHK (German Centre for Cardiovascular Research), partner site Munich Heart Alliance, Munich, Germany.,COVID-19 Registry of the LMU Munich (CORKUM), University Hospital, LMU Munich, Munich, Germany
| | - Tobias Weinberger
- Department of Medicine I, University Hospital, LMU Munich, Munich, Germany.,DZHK (German Centre for Cardiovascular Research), partner site Munich Heart Alliance, Munich, Germany.,COVID-19 Registry of the LMU Munich (CORKUM), University Hospital, LMU Munich, Munich, Germany
| | - Helga Mairhofer
- Max von Pettenkofer Institute and Gene Center, Virology, National Reference Center for Retroviruses, LMU München, Munich, Germany
| | - Elham Khatamzas
- COVID-19 Registry of the LMU Munich (CORKUM), University Hospital, LMU Munich, Munich, Germany.,Department of Medicine III, University Hospital, LMU Munich, Munich, Germany.,German Cancer Consortium (DKTK), Munich, Germany
| | - Katharina Hofmann
- Max von Pettenkofer Institute and Gene Center, Virology, National Reference Center for Retroviruses, LMU München, Munich, Germany
| | - Patricia M Spaeth
- Max von Pettenkofer Institute and Gene Center, Virology, National Reference Center for Retroviruses, LMU München, Munich, Germany
| | - Sabine Bender
- Max von Pettenkofer Institute and Gene Center, Virology, National Reference Center for Retroviruses, LMU München, Munich, Germany
| | - Stefan Kääb
- Department of Medicine I, University Hospital, LMU Munich, Munich, Germany.,DZHK (German Centre for Cardiovascular Research), partner site Munich Heart Alliance, Munich, Germany.,COVID-19 Registry of the LMU Munich (CORKUM), University Hospital, LMU Munich, Munich, Germany
| | - Bernhard Zwissler
- Department of Anesthesiology, University Hospital, LMU Munich, Munich, Germany.,COVID-19 Registry of the LMU Munich (CORKUM), University Hospital, LMU Munich, Munich, Germany.,Comprehensive Pneumology Center Munich (CPC-M), Member of the German Center for Lung Research (DZL), Munich, Germany
| | - Julia Mayerle
- Department of Medicine II, University Hospital, LMU Munich, Munich, Germany.,COVID-19 Registry of the LMU Munich (CORKUM), University Hospital, LMU Munich, Munich, Germany
| | - Juergen Behr
- Department of Medicine V, University Hospital, LMU Munich, Comprehensive Pneumology Center Munich (CPC-M), Member of the German Center for Lung Research (DZL), Munich, Germany.,COVID-19 Registry of the LMU Munich (CORKUM), University Hospital, LMU Munich, Munich, Germany.,Comprehensive Pneumology Center Munich (CPC-M), Member of the German Center for Lung Research (DZL), Munich, Germany
| | - Michael von Bergwelt-Baildon
- COVID-19 Registry of the LMU Munich (CORKUM), University Hospital, LMU Munich, Munich, Germany.,Department of Medicine III, University Hospital, LMU Munich, Munich, Germany.,German Cancer Consortium (DKTK), Munich, Germany
| | - Martin Reincke
- COVID-19 Registry of the LMU Munich (CORKUM), University Hospital, LMU Munich, Munich, Germany.,Department of Medicine IV, University Hospital, LMU Munich, Munich, Germany
| | - Beatrice Grabein
- Department of Clinical Microbiology and Hospital Hygiene, University Hospital, LMU Munich, Munich, Germany
| | - Christian Ludwig Hinske
- Department of Anesthesiology, University Hospital, LMU Munich, Munich, Germany.,Department of Medical Information Processing, Biometry and Epidemiology (IBE), LMU Munich, Munich, Germany.,COVID-19 Registry of the LMU Munich (CORKUM), University Hospital, LMU Munich, Munich, Germany
| | - Helmut Blum
- Laboratory for Functional Genome Analysis, Gene Center, LMU Munich, Munich, Germany
| | - Oliver T Keppler
- Max von Pettenkofer Institute and Gene Center, Virology, National Reference Center for Retroviruses, LMU München, Munich, Germany.,German Center for Infection Research (DZIF), partner site Munich, Munich, Germany.,COVID-19 Registry of the LMU Munich (CORKUM), University Hospital, LMU Munich, Munich, Germany
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Zhu X, Hu CT, Erriah B, Vogt-Maranto L, Yang J, Yang Y, Qiu M, Fellah N, Tuckerman ME, Ward MD, Kahr B. Imidacloprid Crystal Polymorphs for Disease Vector Control and Pollinator Protection. J Am Chem Soc 2021; 143:17144-17152. [PMID: 34634905 DOI: 10.1021/jacs.1c07610] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
Imidacloprid, the world's leading insecticide, has been approved recently for controlling infectious disease vectors; yet, in agricultural settings, it has been implicated in the frightening decline of pollinators. This argues for strategies that sharply reduce the environmental impact of imidacloprid. When used as a contact insecticide, the effectiveness of imidacloprid relies on physical contact between its crystal surfaces and insect tarsi. Herein, seven new imidacloprid crystal polymorphs are reported, adding to two known forms. Anticipating that insect uptake of imidacloprid molecules would depend on the respective free energies of crystal polymorph surfaces, measurements of insect knockdown times for the metastable crystal forms were as much as nine times faster acting than the commercial form against Aedes, Anopheles, and Culex mosquitoes as well as Drosophila (fruit flies). These results suggest that replacement of commercially available imidacloprid crystals (a.k.a. Form I) in space-spraying with any one of three new polymorphs, Forms IV, VI, IX, would suppress vector-borne disease transmission while reducing environmental exposure and harm to nontarget organisms.
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Affiliation(s)
- Xiaolong Zhu
- Department of Chemistry and Molecular Design Institute, New York University, New York, New York 10003 United States
| | - Chunhua T Hu
- Department of Chemistry and Molecular Design Institute, New York University, New York, New York 10003 United States
| | - Bryan Erriah
- Department of Chemistry and Molecular Design Institute, New York University, New York, New York 10003 United States
| | - Leslie Vogt-Maranto
- Department of Chemistry, New York University, New York, New York 10003 United States
| | - Jingxiang Yang
- Department of Chemistry and Molecular Design Institute, New York University, New York, New York 10003 United States
| | - Yongfan Yang
- Department of Chemistry and Molecular Design Institute, New York University, New York, New York 10003 United States
| | - Mengdi Qiu
- Department of Chemistry and Molecular Design Institute, New York University, New York, New York 10003 United States
| | - Noalle Fellah
- Department of Chemistry and Molecular Design Institute, New York University, New York, New York 10003 United States
| | - Mark E Tuckerman
- Department of Chemistry and Molecular Design Institute, New York University, New York, New York 10003 United States.,Courant Institute of Mathematical Sciences, New York University, New York, New York 10012, United States.,NYU-ECNU Center for Computational Chemistry, New York University Shanghai, Shanghai 200062, China
| | - Michael D Ward
- Department of Chemistry and Molecular Design Institute, New York University, New York, New York 10003 United States
| | - Bart Kahr
- Department of Chemistry and Molecular Design Institute, New York University, New York, New York 10003 United States
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43
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Progress and challenges in virus genomic epidemiology. Trends Parasitol 2021; 37:1038-1049. [PMID: 34620561 DOI: 10.1016/j.pt.2021.08.007] [Citation(s) in RCA: 31] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2021] [Revised: 08/24/2021] [Accepted: 08/26/2021] [Indexed: 12/18/2022]
Abstract
Genomic epidemiology, which links pathogen genomes with associated metadata to understand disease transmission, has become a key component of outbreak response. Decreasing costs of genome sequencing and increasing computational power provide opportunities to generate and analyse large viral genomic datasets that aim to uncover the spatial scales of transmission, the demographics contributing to transmission patterns, and to forecast epidemic trends. Emerging sources of genomic data and associated metadata provide new opportunities to further unravel transmission patterns. Key challenges include how to integrate genomic data with metadata from multiple sources, how to generate efficient computational algorithms to cope with large datasets, and how to establish sampling frameworks to enable robust conclusions.
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44
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Ahammad I, Hossain MU, Rahman A, Chowdhury ZM, Bhattacharjee A, Das KC, Keya CA, Salimullah M. Wave-wise comparative genomic study for revealing the complete scenario and dynamic nature of COVID-19 pandemic in Bangladesh. PLoS One 2021; 16:e0258019. [PMID: 34587212 PMCID: PMC8480844 DOI: 10.1371/journal.pone.0258019] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2021] [Accepted: 09/16/2021] [Indexed: 12/19/2022] Open
Abstract
As the COVID-19 pandemic continues to ravage across the globe and take millions of lives and like many parts of the world, the second wave of the pandemic hit Bangladesh, this study aimed at understanding its causative agent, SARS-CoV-2 at the genomic and proteomic level and provide precious insights about the pathogenesis, evolution, strengths and weaknesses of the virus. As of Mid-June 2021, over 1500 SARS-CoV-2 genomesequences have been deposited in the GISAID database from Bangladesh which were extracted and categorized into two waves. By analyzing these genome sequences, it was discovered that the wave-2 samples had a significantly greater average rate of mutation/sample (30.79%) than the wave-1 samples (12.32%). Wave-2 samples also had a higher frequency of deletion, and transversion events. During the first wave, the GR clade was the most predominant but it was replaced by the GH clade in the latter wave. The B.1.1.25 variant showed the highest frequency in wave-1 while in case of wave-2, the B.1.351.3 variant, was the most common one. A notable presence of the delta variant, which is currently at the center of concern, was also observed. Comparison of the Spike protein found in the reference and the 3 most common lineages found in Bangladesh namely, B.1.1.7, B.1.351, B.1.617 in terms of their ability to form stable complexes with ACE2 receptor revealed that B.1.617 had the potential to be more transmissible than others. Importantly, no indigenous variants have been detected so far which implies that the successful prevention of import of foreign variants can diminish the outbreak in the country.
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Affiliation(s)
- Ishtiaque Ahammad
- Bioinformatics Division, National Institute of Biotechnology, Dhaka, Bangladesh
| | | | - Anisur Rahman
- Bioinformatics Division, National Institute of Biotechnology, Dhaka, Bangladesh
| | | | | | - Keshob Chandra Das
- Molecular Biotechnology Division, National Institute of Biotechnology, Dhaka, Bangladesh
| | - Chaman Ara Keya
- Department of Biochemistry and Microbiology, North South University, Bashundhara, Dhaka, Bangladesh
| | - Md. Salimullah
- Molecular Biotechnology Division, National Institute of Biotechnology, Dhaka, Bangladesh
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45
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Oluniyi PE, Ajogbasile F, Oguzie J, Uwanibe J, Kayode A, Happi A, Ugwu A, Olumade T, Ogunsanya O, Eromon PE, Folarin O, Frost SDW, Heeney J, Happi CT. VGEA: an RNA viral assembly toolkit. PeerJ 2021; 9:e12129. [PMID: 34567846 PMCID: PMC8428259 DOI: 10.7717/peerj.12129] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2020] [Accepted: 08/17/2021] [Indexed: 12/11/2022] Open
Abstract
Next generation sequencing (NGS)-based studies have vastly increased our understanding of viral diversity. Viral sequence data obtained from NGS experiments are a rich source of information, these data can be used to study their epidemiology, evolution, transmission patterns, and can also inform drug and vaccine design. Viral genomes, however, represent a great challenge to bioinformatics due to their high mutation rate and forming quasispecies in the same infected host, bringing about the need to implement advanced bioinformatics tools to assemble consensus genomes well-representative of the viral population circulating in individual patients. Many tools have been developed to preprocess sequencing reads, carry-out de novo or reference-assisted assembly of viral genomes and assess the quality of the genomes obtained. Most of these tools however exist as standalone workflows and usually require huge computational resources. Here we present (Viral Genomes Easily Analyzed), a Snakemake workflow for analyzing RNA viral genomes. VGEA enables users to map sequencing reads to the human genome to remove human contaminants, split bam files into forward and reverse reads, carry out de novo assembly of forward and reverse reads to generate contigs, pre-process reads for quality and contamination, map reads to a reference tailored to the sample using corrected contigs supplemented by the user's choice of reference sequences and evaluate/compare genome assemblies. We designed a project with the aim of creating a flexible, easy-to-use and all-in-one pipeline from existing/stand-alone bioinformatics tools for viral genome analysis that can be deployed on a personal computer. VGEA was built on the Snakemake workflow management system and utilizes existing tools for each step: fastp (Chen et al., 2018) for read trimming and read-level quality control, BWA (Li & Durbin, 2009) for mapping sequencing reads to the human reference genome, SAMtools (Li et al., 2009) for extracting unmapped reads and also for splitting bam files into fastq files, IVA (Hunt et al., 2015) for de novo assembly to generate contigs, shiver (Wymant et al., 2018) to pre-process reads for quality and contamination, then map to a reference tailored to the sample using corrected contigs supplemented with the user's choice of existing reference sequences, SeqKit (Shen et al., 2016) for cleaning shiver assembly for QUAST, QUAST (Gurevich et al., 2013) to evaluate/assess the quality of genome assemblies and MultiQC (Ewels et al., 2016) for aggregation of the results from fastp, BWA and QUAST. Our pipeline was successfully tested and validated with SARS-CoV-2 (n = 20), HIV-1 (n = 20) and Lassa Virus (n = 20) datasets all of which have been made publicly available. VGEA is freely available on GitHub at: https://github.com/pauloluniyi/VGEA under the GNU General Public License.
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Affiliation(s)
- Paul E Oluniyi
- Department of Biological Sciences, Faculty of Natural Sciences, Redeemer's University, Ede, Osun, Nigeria.,African Centre of Excellence for Genomics of Infectious Diseases (ACEGID), Redeemer's University, Ede, Osun, Nigeria
| | - Fehintola Ajogbasile
- Department of Biological Sciences, Faculty of Natural Sciences, Redeemer's University, Ede, Osun, Nigeria.,African Centre of Excellence for Genomics of Infectious Diseases (ACEGID), Redeemer's University, Ede, Osun, Nigeria
| | - Judith Oguzie
- Department of Biological Sciences, Faculty of Natural Sciences, Redeemer's University, Ede, Osun, Nigeria.,African Centre of Excellence for Genomics of Infectious Diseases (ACEGID), Redeemer's University, Ede, Osun, Nigeria
| | - Jessica Uwanibe
- Department of Biological Sciences, Faculty of Natural Sciences, Redeemer's University, Ede, Osun, Nigeria.,African Centre of Excellence for Genomics of Infectious Diseases (ACEGID), Redeemer's University, Ede, Osun, Nigeria
| | - Adeyemi Kayode
- Department of Biological Sciences, Faculty of Natural Sciences, Redeemer's University, Ede, Osun, Nigeria.,African Centre of Excellence for Genomics of Infectious Diseases (ACEGID), Redeemer's University, Ede, Osun, Nigeria
| | - Anise Happi
- African Centre of Excellence for Genomics of Infectious Diseases (ACEGID), Redeemer's University, Ede, Osun, Nigeria
| | - Alphonsus Ugwu
- Department of Biological Sciences, Faculty of Natural Sciences, Redeemer's University, Ede, Osun, Nigeria.,African Centre of Excellence for Genomics of Infectious Diseases (ACEGID), Redeemer's University, Ede, Osun, Nigeria
| | - Testimony Olumade
- Department of Biological Sciences, Faculty of Natural Sciences, Redeemer's University, Ede, Osun, Nigeria.,African Centre of Excellence for Genomics of Infectious Diseases (ACEGID), Redeemer's University, Ede, Osun, Nigeria
| | - Olusola Ogunsanya
- Department of Veterinary Pathology, Faculty of Veterinary Medicine, University of Ibadan, Ibadan, Oyo, Nigeria
| | - Philomena Ehiaghe Eromon
- African Centre of Excellence for Genomics of Infectious Diseases (ACEGID), Redeemer's University, Ede, Osun, Nigeria
| | - Onikepe Folarin
- Department of Biological Sciences, Faculty of Natural Sciences, Redeemer's University, Ede, Osun, Nigeria.,African Centre of Excellence for Genomics of Infectious Diseases (ACEGID), Redeemer's University, Ede, Osun, Nigeria
| | - Simon D W Frost
- Microsoft Research, Redmond, WA, United States of America.,London School of Hygiene & Tropical Medicine, London, United Kingdom
| | - Jonathan Heeney
- Department of Veterinary Medicine, University of Cambridge, Cambridge, United Kingdom
| | - Christian T Happi
- Department of Biological Sciences, Faculty of Natural Sciences, Redeemer's University, Ede, Osun, Nigeria.,African Centre of Excellence for Genomics of Infectious Diseases (ACEGID), Redeemer's University, Ede, Osun, Nigeria
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46
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Cao Y, Liu H, Yan Y, Liu W, Liu D, Li J. Discriminating Clonotypes of Influenza A Virus Genes by Nanopore Sequencing. Int J Mol Sci 2021; 22:ijms221810069. [PMID: 34576230 PMCID: PMC8468007 DOI: 10.3390/ijms221810069] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2021] [Revised: 09/10/2021] [Accepted: 09/15/2021] [Indexed: 01/21/2023] Open
Abstract
Influenza viruses still pose a serious threat to humans, and we have not yet been able to effectively predict future pandemic strains and prepare vaccines in advance. One of the main reasons is the high genetic diversity of influenza viruses. We do not know the individual clonotypes of a virus population because some are the majority and others make up only a small fraction of the population. First-generation (FGS) and next-generation sequencing (NGS) technologies have inherent limitations that are unable to resolve a minority clonotype’s information in the virus population. Third-generation sequencing (TGS) technologies with ultra-long reads have the potential to solve this problem but have a high error rate. Here, we evaluated emerging direct RNA sequencing and cDNA sequencing with the MinION platform and established a novel approach that combines the high accuracy of Illumina sequencing technology and long reads of nanopore sequencing technology to resolve both variants and clonotypes of influenza virus. Furthermore, a new program was written to eliminate the effect of nanopore sequencing errors for the analysis of the results. By using this pipeline, we identified 47 clonotypes in our experiment. We conclude that this approach can quickly discriminate the clonotypes of virus genes, allowing researchers to understand virus adaptation and evolution at the population level.
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Affiliation(s)
- Ying Cao
- National Virus Resource Center, Chinese Academy of Sciences, Wuhan 430071, China; (Y.C.); (H.L.); (Y.Y.)
- CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China;
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources & Laboratory of Animal Infectious Diseases, College of Animal Sciences and Veterinary Medicine, Guangxi University, Nanning 530004, China
| | - Haizhou Liu
- National Virus Resource Center, Chinese Academy of Sciences, Wuhan 430071, China; (Y.C.); (H.L.); (Y.Y.)
| | - Yi Yan
- National Virus Resource Center, Chinese Academy of Sciences, Wuhan 430071, China; (Y.C.); (H.L.); (Y.Y.)
| | - Wenjun Liu
- CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China;
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources & Laboratory of Animal Infectious Diseases, College of Animal Sciences and Veterinary Medicine, Guangxi University, Nanning 530004, China
- Savaid Medical School, University of Chinese Academy of Sciences, Beijing 100039, China
| | - Di Liu
- National Virus Resource Center, Chinese Academy of Sciences, Wuhan 430071, China; (Y.C.); (H.L.); (Y.Y.)
- Savaid Medical School, University of Chinese Academy of Sciences, Beijing 100039, China
- CAS Key Laboratory of Special Pathogens, Wuhan Institute of Virology, Center for Biosafety Mega-Science, Chinese Academy of Sciences, Wuhan 430071, China
- Correspondence: (D.L.); (J.L.)
| | - Jing Li
- CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China;
- Savaid Medical School, University of Chinese Academy of Sciences, Beijing 100039, China
- Correspondence: (D.L.); (J.L.)
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47
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Beddingfield BJ, Hartnett JN, Wilson RB, Kulakosky PC, Andersen KG, Robles-Sikisaka R, Grubaugh ND, Aybar A, Nunez MZ, Fermin CD, Garry RF. Zika Virus Non-Structural Protein 1 Antigen-Capture Immunoassay. Viruses 2021; 13:v13091771. [PMID: 34578352 PMCID: PMC8473068 DOI: 10.3390/v13091771] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2021] [Revised: 08/24/2021] [Accepted: 09/03/2021] [Indexed: 01/01/2023] Open
Abstract
Infection with Zika virus (ZIKV), a member of the Flavivirus genus of the Flaviviridae family, typically results in mild self-limited illness, but severe neurological disease occurs in a limited subset of patients. In contrast, serious outcomes commonly occur in pregnancy that affect the developing fetus, including microcephaly and other major birth defects. The genetic similarity of ZIKV to other widespread flaviviruses, such as dengue virus (DENV), presents a challenge to the development of specific ZIKV diagnostic assays. Nonstructural protein 1 (NS1) is established for use in immunodiagnostic assays for flaviviruses. To address the cross-reactivity of ZIKV NS1 with proteins from other flaviviruses we used site-directed mutagenesis to modify putative epitopes. Goat polyclonal antibodies to variant ZIKV NS1 were affinity-purified to remove antibodies binding to the closely related NS1 protein of DENV. An antigen-capture ELISA configured with the affinity-purified polyclonal antibody showed a linear dynamic range between approximately 500 and 30 ng/mL, with a limit of detection of between 1.95 and 7.8 ng/mL. NS1 proteins from DENV, yellow fever virus, St. Louis encephalitis virus and West Nile virus showed significantly reduced reactivity in the ZIKV antigen-capture ELISA. Refinement of approaches similar to those employed here could lead to development of ZIKV-specific immunoassays suitable for use in areas where infections with related flaviviruses are common.
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Affiliation(s)
- Brandon J. Beddingfield
- Department of Microbiology and Immunology, School of Medicine, Tulane University, New Orleans, LA 70112, USA; (B.J.B.); (J.N.H.)
| | - Jessica N. Hartnett
- Department of Microbiology and Immunology, School of Medicine, Tulane University, New Orleans, LA 70112, USA; (B.J.B.); (J.N.H.)
| | - Russell B. Wilson
- Autoimmune Technologies, Limited Liability Company, New Orleans, LA 70112, USA; (R.B.W.); (P.C.K.)
| | - Peter C. Kulakosky
- Autoimmune Technologies, Limited Liability Company, New Orleans, LA 70112, USA; (R.B.W.); (P.C.K.)
| | - Kristian G. Andersen
- Department of Immunology and Microbial Science, Scripps Research, La Jolla, CA 92037, USA; (K.G.A.); (R.R.-S.); (N.D.G.)
- Scripps Translational Science Institute, La Jolla, CA 92037, USA
- Department of Integrative Structural and Computational Biology, Scripps Research, La Jolla, CA 92037, USA
| | - Refugio Robles-Sikisaka
- Department of Immunology and Microbial Science, Scripps Research, La Jolla, CA 92037, USA; (K.G.A.); (R.R.-S.); (N.D.G.)
- Scripps Translational Science Institute, La Jolla, CA 92037, USA
- Department of Integrative Structural and Computational Biology, Scripps Research, La Jolla, CA 92037, USA
| | - Nathan D. Grubaugh
- Department of Immunology and Microbial Science, Scripps Research, La Jolla, CA 92037, USA; (K.G.A.); (R.R.-S.); (N.D.G.)
- Scripps Translational Science Institute, La Jolla, CA 92037, USA
- Department of Integrative Structural and Computational Biology, Scripps Research, La Jolla, CA 92037, USA
| | - Argelia Aybar
- MediPath Instituto de Patologia Molecular, Universidad Tecnológica de Santiago (UTESA), Santiago 51000, Dominican Republic;
| | - Maria-Zunilla Nunez
- Centro de Investigaciones Biomédicas y Clínicas (CINBIOCLI), Pontificia Universidad Católica Madre y Maestra (PUCMM), Santiago 51034, Dominican Republic;
| | - Cesar D. Fermin
- Instituto de Innovacion Biotecnologia e Industria (IIBI), Santo Domingo 10135, Dominican Republic;
- Ministerio de Salud Publica (MSP), Santo Domingo 10514, Dominican Republic
| | - Robert F. Garry
- Department of Microbiology and Immunology, School of Medicine, Tulane University, New Orleans, LA 70112, USA; (B.J.B.); (J.N.H.)
- Zalgen Labs, Limited Liability Company, Germantown, MD 20876, USA
- Correspondence: ; Tel.: +1-504-988-2027
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48
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Childs ML, Kain MP, Harris MJ, Kirk D, Couper L, Nova N, Delwel I, Ritchie J, Becker AD, Mordecai EA. The impact of long-term non-pharmaceutical interventions on COVID-19 epidemic dynamics and control: the value and limitations of early models. Proc Biol Sci 2021; 288:20210811. [PMID: 34428971 PMCID: PMC8385372 DOI: 10.1098/rspb.2021.0811] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2021] [Accepted: 07/26/2021] [Indexed: 12/21/2022] Open
Abstract
Mathematical models of epidemics are important tools for predicting epidemic dynamics and evaluating interventions. Yet, because early models are built on limited information, it is unclear how long they will accurately capture epidemic dynamics. Using a stochastic SEIR model of COVID-19 fitted to reported deaths, we estimated transmission parameters at different time points during the first wave of the epidemic (March-June, 2020) in Santa Clara County, California. Although our estimated basic reproduction number ([Formula: see text]) remained stable from early April to late June (with an overall median of 3.76), our estimated effective reproduction number ([Formula: see text]) varied from 0.18 to 1.02 in April before stabilizing at 0.64 on 27 May. Between 22 April and 27 May, our model accurately predicted dynamics through June; however, the model did not predict rising summer cases after shelter-in-place orders were relaxed in June, which, in early July, was reflected in cases but not yet in deaths. While models are critical for informing intervention policy early in an epidemic, their performance will be limited as epidemic dynamics evolve. This paper is one of the first to evaluate the accuracy of an early epidemiological compartment model over time to understand the value and limitations of models during unfolding epidemics.
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Affiliation(s)
- Marissa L. Childs
- Emmett Interdisciplinary Program in Environment and Resources, Stanford University, Stanford, CA 94305, USA
| | - Morgan P. Kain
- Department of Biology, Stanford University, Stanford, CA 94305, USA
- Natural Capital Project, Woods Institute for the Environment, Stanford University, Stanford, CA 94305, USA
| | | | - Devin Kirk
- Department of Biology, Stanford University, Stanford, CA 94305, USA
- Department of Zoology, University of British Columbia, Vancouver, British Columbia, Canada V6T 1Z4
| | - Lisa Couper
- Department of Biology, Stanford University, Stanford, CA 94305, USA
| | - Nicole Nova
- Department of Biology, Stanford University, Stanford, CA 94305, USA
| | - Isabel Delwel
- Department of Microbiology and Immunology, Stanford University, Stanford, CA 94305, USA
| | - Jacob Ritchie
- Department of Computer Science, Stanford University, Stanford, CA 94305, USA
| | | | - Erin A. Mordecai
- Department of Biology, Stanford University, Stanford, CA 94305, USA
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49
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Li N, Feng Y, Vrancken B, Chen Y, Dong L, Yang Q, Kraemer MU, Pybus OG, Zhang H, Brady OJ, Tian H. Assessing the impact of COVID-19 border restrictions on dengue transmission in Yunnan Province, China: an observational epidemiological and phylogenetic analysis. THE LANCET REGIONAL HEALTH. WESTERN PACIFIC 2021; 14:100259. [PMID: 34528006 PMCID: PMC8387751 DOI: 10.1016/j.lanwpc.2021.100259] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/23/2021] [Revised: 07/15/2021] [Accepted: 07/21/2021] [Indexed: 12/15/2022]
Abstract
BACKGROUND In response to the COVID-19 pandemic, China implemented strict restrictions on cross-border travel to prevent disease importation. Yunnan, a Chinese province that borders dengue-endemic countries in Southeast Asia, experienced unprecedented reduction in dengue, from 6840 recorded cases in 2019 to 260 in 2020. METHODS Using a combination of epidemiological and virus genomic data, collected from 2013 to 2020 in Yunnan and neighbouring countries, we conduct a series of analyses to characterise the role of virus importation in driving dengue dynamics in Yunnan and assess the association between recent international travel restrictions and the decline in dengue reported in Yunnan in 2020. FINDINGS We find strong evidence that dengue incidence between 2013-2019 in Yunnan was closely linked with international importation of cases. A 0-2 month lag in incidence not explained by seasonal differences, absence of local transmission in the winter, effective reproductive numbers < 1 (as estimated independently using genetic data) and diverse cosmopolitan dengue virus phylogenies all suggest dengue is non-endemic in Yunnan. Using a multivariate statistical model we show that the substantial decline in dengue incidence observed in Yunnan in 2020 but not in neighbouring countries is closely associated with the timing of international travel restrictions, even after accounting for other environmental drivers of dengue incidence. INTERPRETATION We conclude that Yunnan is a regional sink for DENV lineage movement and that border restrictions may have substantially reduced dengue burden in 2020, potentially averting thousands of cases. Targeted testing and surveillance of travelers returning from high-risk areas could help to inform public health strategies to minimise or even eliminate dengue outbreaks in non-endemic settings like southern China. FUNDING Funding for this study was provided by National Key Research and Development Program of China, Beijing Science and Technology Planning Project (Z201100005420010); Beijing Natural Science Foundation (JQ18025); Beijing Advanced Innovation Program for Land Surface Science; National Natural Science Foundation of China (82073616); Young Elite Scientist Sponsorship Program by CAST (YESS) (2018QNRC001); H.T., O.P.G. and M.U.G.K. acknowledge support from the Oxford Martin School. O.J.B was supported by a Wellcome Trust Sir Henry Wellcome Fellowship (206471/Z/17/Z). Chinese translation of the abstract (Appendix 2).
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Affiliation(s)
- Naizhe Li
- State Key Laboratory of Remote Sensing Science, Center for Global Change and Public Health, College of Global Change and Earth System Science, Beijing Normal University, Beijing, China,College of Life Sciences, Beijing Normal University, Beijing, China
| | - Yun Feng
- Yunnan Institute of Endemic Diseases Control and Prevention, Yunnan Provincial Key Laboratory for Zoonosis Control and Prevention, Dali, China
| | - Bram Vrancken
- Department of Microbiology and Immunology, Rega Institute, Laboratory of Evolutionary and Computational Virology, KU Leuven, Leuven, Belgium
| | - Yuyang Chen
- State Key Laboratory of Remote Sensing Science, Center for Global Change and Public Health, College of Global Change and Earth System Science, Beijing Normal University, Beijing, China,College of Life Sciences, Beijing Normal University, Beijing, China
| | - Lu Dong
- College of Life Sciences, Beijing Normal University, Beijing, China
| | - Qiqi Yang
- Department of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ, USA
| | - Moritz U.G. Kraemer
- Department of Zoology, University of Oxford, Oxford, UK,Harvard Medical School, Harvard University, Boston, MA, USA,Boston Children's Hospital, Boston, MA, USA
| | - Oliver G. Pybus
- Department of Zoology, University of Oxford, Oxford, UK,Department of Pathobiology and Population Science, The Royal Veterinary College, London, UK
| | - Hailin Zhang
- Yunnan Institute of Endemic Diseases Control and Prevention, Yunnan Provincial Key Laboratory for Zoonosis Control and Prevention, Dali, China,Corresponding author
| | - Oliver J. Brady
- Centre for the Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical Medicine, London, UK,Department of Infectious Disease Epidemiology, Faculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, UK,Corresponding author
| | - Huaiyu Tian
- State Key Laboratory of Remote Sensing Science, Center for Global Change and Public Health, College of Global Change and Earth System Science, Beijing Normal University, Beijing, China,College of Life Sciences, Beijing Normal University, Beijing, China,Corresponding author
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50
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d'Humières C, Salmona M, Dellière S, Leo S, Rodriguez C, Angebault C, Alanio A, Fourati S, Lazarevic V, Woerther PL, Schrenzel J, Ruppé E. The Potential Role of Clinical Metagenomics in Infectious Diseases: Therapeutic Perspectives. Drugs 2021; 81:1453-1466. [PMID: 34328626 PMCID: PMC8323086 DOI: 10.1007/s40265-021-01572-4] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/07/2021] [Indexed: 12/24/2022]
Abstract
Clinical metagenomics (CMg) is the process of sequencing nucleic acid of clinical samples to obtain clinically relevant information such as the identification of microorganisms and their susceptibility to antimicrobials. Over the last decades, sequencing and bioinformatic solutions supporting CMg have much evolved and an increasing number of case reports and series covering various infectious diseases have been published. Metagenomics is a new approach to infectious disease diagnosis that is currently being developed and is certainly one of the most promising for the coming years. However, most CMg studies are retrospective, and few address the potential impact CMg could have on patient management, including initiation, adaptation, or cessation of antimicrobials. In this narrative review, we have discussed the potential role of CMg in bacteriology, virology, mycology, and parasitology. Several reports and case-series confirm that CMg is an innovative tool with which one can (i) identify more microorganisms than with conventional methods in a single test, (ii) obtain results within hours, and (iii) tailor the antimicrobial regimen of patients. However, the cost-efficiency of CMg and its real impact on patient management are still to be determined.
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Affiliation(s)
- Camille d'Humières
- Université de Paris, IAME, INSERM, 75018, Paris, France.,AP-HP, Hôpital Bichat, Laboratoire de Bactériologie, Hôpital Bichat-Claude Bernard, 46 rue Henri Huchard, 75018, Paris, France
| | - Maud Salmona
- Unité de Paris, INSERM U976, Insight Team, 75010, Paris, France.,AP-HP, Hôpital Saint-Louis, Laboratoire de Virologie, 75010, Paris, France
| | - Sarah Dellière
- AP-HP, Hôpital Saint-Louis, Laboratoire de Parasitologie-Mycologie, 75010, Paris, France.,Molecular Mycology Unit, Institut Pasteur, CNRS UMR2000, 75015, Paris, France
| | - Stefano Leo
- Faculty of Medicine, CMU, University of Geneva, Geneva, Switzerland.,Service of Infectious Diseases, Genomic Research Laboratory, Geneva University Hospitals, Geneva, Switzerland
| | - Christophe Rodriguez
- Département de Microbiologie, AP-HP, Hôpital Henri Mondor, 94000, Créteil, France.,INSERM U955, Université Paris-Est, 94000, Créteil, France
| | - Cécile Angebault
- Département de Microbiologie, AP-HP, Hôpital Henri Mondor, 94000, Créteil, France.,Université Paris Est Créteil, Ecole Nationale Vétérinaire d'Alfort, USC ANSES, EA7380 Dynamic, 94000, Créteil, France
| | - Alexandre Alanio
- AP-HP, Hôpital Saint-Louis, Laboratoire de Parasitologie-Mycologie, 75010, Paris, France.,Molecular Mycology Unit, Institut Pasteur, CNRS UMR2000, 75015, Paris, France
| | - Slim Fourati
- Département de Microbiologie, AP-HP, Hôpital Henri Mondor, 94000, Créteil, France.,INSERM U955, Université Paris-Est, 94000, Créteil, France
| | - Vladimir Lazarevic
- Faculty of Medicine, CMU, University of Geneva, Geneva, Switzerland.,Service of Infectious Diseases, Genomic Research Laboratory, Geneva University Hospitals, Geneva, Switzerland
| | - Paul-Louis Woerther
- Département de Microbiologie, AP-HP, Hôpital Henri Mondor, 94000, Créteil, France.,Université Paris Est Créteil, Ecole Nationale Vétérinaire d'Alfort, USC ANSES, EA7380 Dynamic, 94000, Créteil, France
| | - Jacques Schrenzel
- Faculty of Medicine, CMU, University of Geneva, Geneva, Switzerland.,Service of Infectious Diseases, Genomic Research Laboratory, Geneva University Hospitals, Geneva, Switzerland
| | - Etienne Ruppé
- Université de Paris, IAME, INSERM, 75018, Paris, France. .,AP-HP, Hôpital Bichat, Laboratoire de Bactériologie, Hôpital Bichat-Claude Bernard, 46 rue Henri Huchard, 75018, Paris, France.
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