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Xu X, Deng Y, Ding J, Tang Q, Lin Y, Zheng X, Zhang T. High-resolution and real-time wastewater viral surveillance by Nanopore sequencing. Water Res 2024; 256:121623. [PMID: 38657304 DOI: 10.1016/j.watres.2024.121623] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/27/2023] [Revised: 03/27/2024] [Accepted: 04/15/2024] [Indexed: 04/26/2024]
Abstract
Wastewater genomic sequencing stands as a pivotal complementary tool for viral surveillance in populations. While long-read Nanopore sequencing is a promising platform to provide real-time genomic data, concerns over the sequencing accuracy of the earlier Nanopore versions have somewhat restrained its widespread application in wastewater analysis. Here, we evaluate the latest improved version of Nanopore sequencing (R10.4.1), using SARS-CoV-2 as the model infectious virus, to demonstrate its effectiveness in wastewater viral monitoring. By comparing amplicon lengths of 400 bp and 1200 bp, we revealed that shorter PCR amplification is more suitable for wastewater samples due to viral genome fragmentation. Utilizing mock wastewater samples, we validated the reliability of Nanopore sequencing for variant identification by comparing it with Illumina sequencing results. The strength of Nanopore sequencing in generating real-time genomic data for providing early warning signals was also showcased, indicating that as little as 0.001 Gb of data can provide accurate results for variant prevalence. Our evaluation also identified optimal alteration frequency cutoffs (>50 %) for precise mutation profiling, achieving >99 % precision in detecting single nucleotide variants (SNVs) and insertions/deletions (indels). Monitoring two major wastewater treatment plants in Hong Kong from September 2022 to April 2023, covering over 4.5 million population, we observed a transition in dominant variants from BA.5 to XBB lineages, with XBB.1.5 being the most prevalent variants. Mutation detection also highlighted the potential of wastewater Nanopore sequencing in uncovering novel mutations and revealed links between signature mutations and specific variants. This study not only reveals the environmental implications of Nanopore sequencing in SARS-CoV-2 surveillance but also underscores its potential in broader applications including environmental health monitoring of other epidemic viruses, which could significantly enhance the field of wastewater-based epidemiology.
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Affiliation(s)
- Xiaoqing Xu
- Environmental Microbiome Engineering and Biotechnology Laboratory, Center for Environmental Engineering Research, Department of Civil Engineering, The University of Hong Kong, Pokfulam Road, Hong Kong Special Administrative Region
| | - Yu Deng
- Environmental Microbiome Engineering and Biotechnology Laboratory, Center for Environmental Engineering Research, Department of Civil Engineering, The University of Hong Kong, Pokfulam Road, Hong Kong Special Administrative Region
| | - Jiahui Ding
- Environmental Microbiome Engineering and Biotechnology Laboratory, Center for Environmental Engineering Research, Department of Civil Engineering, The University of Hong Kong, Pokfulam Road, Hong Kong Special Administrative Region
| | - Qinling Tang
- Environmental Microbiome Engineering and Biotechnology Laboratory, Center for Environmental Engineering Research, Department of Civil Engineering, The University of Hong Kong, Pokfulam Road, Hong Kong Special Administrative Region
| | - Yunqi Lin
- Environmental Microbiome Engineering and Biotechnology Laboratory, Center for Environmental Engineering Research, Department of Civil Engineering, The University of Hong Kong, Pokfulam Road, Hong Kong Special Administrative Region
| | - Xiawan Zheng
- Environmental Microbiome Engineering and Biotechnology Laboratory, Center for Environmental Engineering Research, Department of Civil Engineering, The University of Hong Kong, Pokfulam Road, Hong Kong Special Administrative Region
| | - Tong Zhang
- Environmental Microbiome Engineering and Biotechnology Laboratory, Center for Environmental Engineering Research, Department of Civil Engineering, The University of Hong Kong, Pokfulam Road, Hong Kong Special Administrative Region; School of Public Health, The University of Hong Kong, Pokfulam Road, Hong Kong Special Administrative Region.
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Tang MHE, Bennedbaek M, Gunalan V, Qvesel AG, Thorsen TH, Larsen NB, Rasmussen LD, Krogsgaard LW, Rasmussen M, Stegger M, Alexandersen S. Variations in the persistence of 5'-end genomic and subgenomic SARS-CoV-2 RNAs in wastewater from aircraft, airports and wastewater treatment plants. Heliyon 2024; 10:e29703. [PMID: 38694057 PMCID: PMC11061675 DOI: 10.1016/j.heliyon.2024.e29703] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2023] [Revised: 04/08/2024] [Accepted: 04/14/2024] [Indexed: 05/03/2024] Open
Abstract
Wastewater sequencing has become a powerful supplement to clinical testing in monitoring SARS-CoV-2 infections in the post-COVID-19 pandemic era. While its applications in measuring the viral burden and main circulating lineages in the community have proved their efficacy, the variations in sequencing quality and coverage across the different regions of the SARS-CoV-2 genome are not well understood. Furthermore, it is unclear how different sample origins, viral extraction and concentration methods and environmental factors impact the reads sequenced from wastewater. Using high-coverage, amplicon-based, paired-end read sequencing of viral RNA extracted from wastewater collected directly from aircraft, pooled from different aircraft and airport buildings or from regular wastewater plants, we assessed the genome coverage across the sample groups with a focus on the 5'-end region covering the leader sequence and investigated whether it was possible to detect subgenomic RNA from viral material recovered from wastewater. We identified distinct patterns in the persistence of the different genomic regions across the different types of wastewaters and the existence of chimeric reads mapping to non-amplified regions. Our findings suggest that preservation of the 5'-end of the genome and the ability to detect subgenomic RNA reads, though highly susceptible to environment and sample processing conditions, may be indicative of the quality and amount of the viral RNA present in wastewater.
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Affiliation(s)
- Man-Hung Eric Tang
- Department of Bacteria, Parasites and Fungi, Statens Serum Institut, Copenhagen, Denmark
| | - Marc Bennedbaek
- Department of Virus and Microbiological Special Diagnostics, Statens Serum Institut, Copenhagen, Denmark
| | - Vithiagaran Gunalan
- Department of Virus and Microbiological Special Diagnostics, Statens Serum Institut, Copenhagen, Denmark
| | - Amanda Gammelby Qvesel
- Department of Virus and Microbiological Special Diagnostics, Statens Serum Institut, Copenhagen, Denmark
| | - Theis Hass Thorsen
- Department of Bacteria, Parasites and Fungi, Statens Serum Institut, Copenhagen, Denmark
| | | | - Lasse Dam Rasmussen
- Department of Virus and Microbiological Special Diagnostics, Statens Serum Institut, Copenhagen, Denmark
| | - Lene Wulff Krogsgaard
- Department of Infectious Disease Epidemiology and Prevention, Statens Serum Institut, Copenhagen, Denmark
| | - Morten Rasmussen
- Department of Virus and Microbiological Special Diagnostics, Statens Serum Institut, Copenhagen, Denmark
| | - Marc Stegger
- Department of Bacteria, Parasites and Fungi, Statens Serum Institut, Copenhagen, Denmark
- Antimicrobial Resistance and Infectious Diseases Laboratory, Harry Butler Institute, Murdoch University, Perth, Western Australia, Australia
| | - Soren Alexandersen
- Division of Diagnostic Preparedness, Statens Serum Institut, Copenhagen, Denmark
- Department of Animal and Veterinary Sciences, Aarhus University, Tjele, Denmark
- Deakin University, School of Medicine, Waurn Ponds, Geelong, Australia
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3
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Kantor RS, Jiang M. Considerations and Opportunities for Probe Capture Enrichment Sequencing of Emerging Viruses from Wastewater. Environ Sci Technol 2024; 58:8161-8168. [PMID: 38691513 DOI: 10.1021/acs.est.4c02638] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/03/2024]
Abstract
Until recently, wastewater-based monitoring for pathogens of public health concern primarily used PCR-based quantification methods and targeted sequencing for specific pathogens (e.g., SARS-CoV-2). In the past three years, researchers have expanded sequencing to monitor a broad range of pathogens, applying probe capture enrichment to wastewater. The goals of those studies included (1) monitoring and expanding fundamental knowledge of disease dynamics for known pathogens and (2) evaluating the potential for early detection of emerging diseases resulting from zoonotic spillover or novel viral variants. Several studies using off-the-shelf probe panels designed for clinical and environmental surveillance reported that enrichment increased virus relative abundance but did not recover complete genomes for most nonenteric viruses. Based on our experience and recent results reported by others using these panels for wastewater, clinical, and synthetic samples, we discuss challenges and technical factors that affect the rates of false positive and false negative results. We identify trade-offs and opportunities throughout the workflow, including in wastewater sample processing, probe panel design, and bioinformatic analysis. We suggest tailored methods of virus concentration and background removal, carefully designed probe panels, and multithresholded bioinformatics analysis.
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Affiliation(s)
- Rose S Kantor
- Department of Civil and Environmental Engineering, University of California, Berkeley, Berkeley, California 94720, United States
| | - Minxi Jiang
- Department of Civil and Environmental Engineering, University of California, Berkeley, Berkeley, California 94720, United States
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Vogels CBF, Hill V, Breban MI, Chaguza C, Paul LM, Sodeinde A, Taylor-Salmon E, Ott IM, Petrone ME, Dijk D, Jonges M, Welkers MRA, Locksmith T, Dong Y, Tarigopula N, Tekin O, Schmedes S, Bunch S, Cano N, Jaber R, Panzera C, Stryker I, Vergara J, Zimler R, Kopp E, Heberlein L, Herzog KS, Fauver JR, Morrison AM, Michael SF, Grubaugh ND. DengueSeq: a pan-serotype whole genome amplicon sequencing protocol for dengue virus. BMC Genomics 2024; 25:433. [PMID: 38693476 PMCID: PMC11062901 DOI: 10.1186/s12864-024-10350-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2023] [Accepted: 04/25/2024] [Indexed: 05/03/2024] Open
Abstract
BACKGROUND The increasing burden of dengue virus on public health due to more explosive and frequent outbreaks highlights the need for improved surveillance and control. Genomic surveillance of dengue virus not only provides important insights into the emergence and spread of genetically diverse serotypes and genotypes, but it is also critical to monitor the effectiveness of newly implemented control strategies. Here, we present DengueSeq, an amplicon sequencing protocol, which enables whole-genome sequencing of all four dengue virus serotypes. RESULTS We developed primer schemes for the four dengue virus serotypes, which can be combined into a pan-serotype approach. We validated both approaches using genetically diverse virus stocks and clinical specimens that contained a range of virus copies. High genome coverage (>95%) was achieved for all genotypes, except DENV2 (genotype VI) and DENV 4 (genotype IV) sylvatics, with similar performance of the serotype-specific and pan-serotype approaches. The limit of detection to reach 70% coverage was 10-100 RNA copies/μL for all four serotypes, which is similar to other commonly used primer schemes. DengueSeq facilitates the sequencing of samples without known serotypes, allows the detection of multiple serotypes in the same sample, and can be used with a variety of library prep kits and sequencing instruments. CONCLUSIONS DengueSeq was systematically evaluated with virus stocks and clinical specimens spanning the genetic diversity within each of the four dengue virus serotypes. The primer schemes can be plugged into existing amplicon sequencing workflows to facilitate the global need for expanded dengue virus genomic surveillance.
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Affiliation(s)
- Chantal B F Vogels
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, Connecticut, USA.
- Yale Institute for Global Health, Yale University, New Haven, Connecticut, USA.
| | - Verity Hill
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, Connecticut, USA
| | - Mallery I Breban
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, Connecticut, USA
| | - Chrispin Chaguza
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, Connecticut, USA
- Yale Institute for Global Health, Yale University, New Haven, Connecticut, USA
| | - Lauren M Paul
- Department of Biological Sciences, College of Arts and Sciences, Florida Gulf Coast University, Fort Myers, Florida, USA
| | - Afeez Sodeinde
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, Connecticut, USA
| | - Emma Taylor-Salmon
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, Connecticut, USA
- Department of Pediatrics, Yale School of Medicine, New Haven, Connecticut, USA
| | - Isabel M Ott
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, Connecticut, USA
| | - Mary E Petrone
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, Connecticut, USA
- Sydney Institute for Infectious Diseases, School of Medical Sciences, University of Sydney, Sydney, NSW, Australia
| | - Dennis Dijk
- Department of Medical Microbiology & Infection Prevention, Amsterdam UMC Location AMC, Amsterdam, The Netherlands
| | - Marcel Jonges
- Department of Medical Microbiology & Infection Prevention, Amsterdam UMC Location AMC, Amsterdam, The Netherlands
| | - Matthijs R A Welkers
- Department of Medical Microbiology & Infection Prevention, Amsterdam UMC Location AMC, Amsterdam, The Netherlands
- Department of Infectious Diseases, Public Health Service of Amsterdam, Amsterdam, The Netherlands
| | - Timothy Locksmith
- Bureau of Public Health Laboratories, Division of Disease Control and Health Protection, Florida Department of Health, Tampa, FL, USA
| | - Yibo Dong
- Bureau of Public Health Laboratories, Division of Disease Control and Health Protection, Florida Department of Health, Jacksonville, FL, USA
| | - Namratha Tarigopula
- Bureau of Public Health Laboratories, Division of Disease Control and Health Protection, Florida Department of Health, Jacksonville, FL, USA
| | - Omer Tekin
- Bureau of Public Health Laboratories, Division of Disease Control and Health Protection, Florida Department of Health, Jacksonville, FL, USA
| | - Sarah Schmedes
- Bureau of Public Health Laboratories, Division of Disease Control and Health Protection, Florida Department of Health, Jacksonville, FL, USA
| | - Sylvia Bunch
- Bureau of Public Health Laboratories, Division of Disease Control and Health Protection, Florida Department of Health, Tampa, FL, USA
| | - Natalia Cano
- Bureau of Public Health Laboratories, Division of Disease Control and Health Protection, Florida Department of Health, Tampa, FL, USA
| | - Rayah Jaber
- Bureau of Public Health Laboratories, Division of Disease Control and Health Protection, Florida Department of Health, Tampa, FL, USA
| | - Charles Panzera
- Bureau of Public Health Laboratories, Division of Disease Control and Health Protection, Florida Department of Health, Tampa, FL, USA
| | - Ian Stryker
- Bureau of Public Health Laboratories, Division of Disease Control and Health Protection, Florida Department of Health, Tampa, FL, USA
| | - Julieta Vergara
- Bureau of Public Health Laboratories, Division of Disease Control and Health Protection, Florida Department of Health, Tampa, FL, USA
| | - Rebecca Zimler
- Bureau of Epidemiology, Division of Disease Control and Health Protection, Florida Department of Health, Tallahassee, FL, USA
| | - Edgar Kopp
- Bureau of Public Health Laboratories, Division of Disease Control and Health Protection, Florida Department of Health, Tampa, FL, USA
| | - Lea Heberlein
- Bureau of Public Health Laboratories, Division of Disease Control and Health Protection, Florida Department of Health, Tampa, FL, USA
| | - Kaylee S Herzog
- Department of Epidemiology, University of Nebraska Medical Center, Omaha, Nebraska, USA
| | - Joseph R Fauver
- Department of Epidemiology, University of Nebraska Medical Center, Omaha, Nebraska, USA
| | - Andrea M Morrison
- Bureau of Epidemiology, Division of Disease Control and Health Protection, Florida Department of Health, Tallahassee, FL, USA
| | - Scott F Michael
- Department of Biological Sciences, College of Arts and Sciences, Florida Gulf Coast University, Fort Myers, Florida, USA
| | - Nathan D Grubaugh
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, Connecticut, USA.
- Yale Institute for Global Health, Yale University, New Haven, Connecticut, USA.
- Department of Ecology and Evolutionary Biology, Yale University, New Haven, Connecticut, USA.
- Public Health Modeling Unit, Yale School of Public Health, New Haven, Connecticut, USA.
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5
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Paull JS, Petros BA, Brock-Fisher TM, Jalbert SA, Selser VM, Messer KS, Dobbins ST, DeRuff KC, Deng D, Springer M, Sabeti PC. Optimisation and evaluation of viral genomic sequencing of SARS-CoV-2 rapid diagnostic tests: a laboratory and cohort-based study. Lancet Microbe 2024; 5:e468-e477. [PMID: 38621394 DOI: 10.1016/s2666-5247(23)00399-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/27/2023] [Revised: 12/04/2023] [Accepted: 12/05/2023] [Indexed: 04/17/2024]
Abstract
BACKGROUND Sequencing of SARS-CoV-2 from rapid diagnostic tests (RDTs) can bolster viral genomic surveillance efforts; however, approaches to maximise and standardise pathogen genome recovery from RDTs remain underdeveloped. We aimed to systematically optimise the elution of genetic material from RDT components and to evaluate the efficacy of RDT sequencing for outbreak investigation. METHODS In this laboratory and cohort-based study we seeded RDTs with inactivated SARS-CoV-2 to optimise the elution of genomic material from RDT lateral flow strips. We measured the effect of changes in buffer type, time in buffer, and rotation on PCR cycle threshold (Ct) value. We recruited individuals older than 18 years residing in the greater Boston area, MA, USA, from July 18 to Nov 5, 2022, via email advertising to students and staff at Harvard University, MA, USA, and via broad social media advertising. All individuals recruited were within 5 days of a positive diagnostic test for SARS-CoV-2; no other relevant exclusion criteria were applied. Each individual completed two RDTs and one PCR swab. On Dec 29, 2022, we also collected RDTs from a convenience sample of individuals who were positive for SARS-CoV-2 and associated with an outbreak at a senior housing facility in MA, USA. We extracted all returned PCR swabs and RDT components (ie, swab, strip, or buffer); samples with a Ct of less than 40 were subject to amplicon sequencing. We compared the efficacy of elution and sequencing across RDT brands and components and used RDT-derived sequences to infer transmission links within the outbreak at the senior housing facility. We conducted metagenomic sequencing of negative RDTs from symptomatic individuals living in the senior housing facility. FINDINGS Neither elution duration of greater than 10 min nor rotation during elution impacted viral titres. Elution in Buffer AVL (Ct=31·4) and Tris-EDTA Buffer (Ct=30·8) were equivalent (p=0·34); AVL outperformed elution in lysis buffer and 50% lysis buffer (Ct=40·0, p=0·0029 for both) as well as Universal Viral Transport Medium (Ct=36·7, p=0·079). Performance of RDT strips was poorer than that of matched PCR swabs (mean Ct difference 10·2 [SD 4·3], p<0·0001); however, RDT swabs performed similarly to PCR swabs (mean Ct difference 4·1 [5·2], p=0·055). No RDT brand significantly outperformed another. Across sample types, viral load predicted the viral genome assembly length. We assembled greater than 80% complete genomes from 12 of 17 RDT-derived swabs, three of 18 strips, and four of 11 residual buffers. We generated outbreak-associated SARS-CoV-2 genomes using both amplicon and metagenomic sequencing and identified multiple introductions of the virus that resulted in downstream transmission. INTERPRETATION RDT-derived swabs are a reasonable alternative to PCR swabs for viral genomic surveillance and outbreak investigation. RDT-derived lateral flow strips yield accurate, but significantly fewer, viral reads than matched PCR swabs. Metagenomic sequencing of negative RDTs can identify viruses that might underlie patient symptoms. FUNDING The National Science Foundation, the Hertz Foundation, the National Institute of General Medical Sciences, Harvard Medical School, the Howard Hughes Medical Institute, the US Centers for Disease Control and Prevention, the Broad Institute and the National Institute of Allergy and Infectious Diseases.
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Affiliation(s)
- Jillian S Paull
- Department of Systems Biology, Harvard Medical School, Boston, MA, USA; Broad Institute of MIT and Harvard, Cambridge, MA, USA.
| | - Brittany A Petros
- Department of Systems Biology, Harvard Medical School, Boston, MA, USA; Broad Institute of MIT and Harvard, Cambridge, MA, USA; Division of Health Sciences and Technology, Harvard Medical School and MIT, Cambridge, MA, USA; Harvard/MIT MD-PhD Program, Harvard Medical School, Boston, MA, USA.
| | - Taylor M Brock-Fisher
- Broad Institute of MIT and Harvard, Cambridge, MA, USA; Howard Hughes Medical Institute, Chevy Chase, MD, USA; Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA, USA
| | | | | | | | | | | | - Davy Deng
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Michael Springer
- Department of Systems Biology, Harvard Medical School, Boston, MA, USA; Broad Institute of MIT and Harvard, Cambridge, MA, USA; Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA, USA
| | - Pardis C Sabeti
- Broad Institute of MIT and Harvard, Cambridge, MA, USA; Howard Hughes Medical Institute, Chevy Chase, MD, USA; Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA, USA; Department of Immunology and Infectious Diseases, Harvard T H Chan School of Public Health, Harvard University, Boston, MA, USA.
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Igari H, Sakao S, Ishige T, Saito K, Murata S, Yahaba M, Taniguchi T, Suganami A, Matsushita K, Tamura Y, Suzuki T, Ido E. Dynamic diversity of SARS-CoV-2 genetic mutations in a lung transplantation patient with persistent COVID-19. Nat Commun 2024; 15:3604. [PMID: 38684722 PMCID: PMC11058237 DOI: 10.1038/s41467-024-47941-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2023] [Accepted: 04/15/2024] [Indexed: 05/02/2024] Open
Abstract
Numerous SARS-CoV-2 variant strains with altered characteristics have emerged since the onset of the COVID-19 pandemic. Remdesivir (RDV), a ribonucleotide analogue inhibitor of viral RNA polymerase, has become a valuable therapeutic agent. However, immunosuppressed hosts may respond inadequately to RDV and develop chronic persistent infections. A patient with respiratory failure caused by interstitial pneumonia, who had undergone transplantation of the left lung, developed COVID-19 caused by Omicron BA.5 strain with persistent chronic viral shedding, showing viral fusogenicity. Genome-wide sequencing analyses revealed the occurrence of several viral mutations after RDV treatment, followed by dynamic changes in the viral populations. The C799F mutation in nsp12 was found to play a pivotal role in conferring RDV resistance, preventing RDV-triphosphate from entering the active site of RNA-dependent RNA polymerase. The occurrence of diverse mutations is a characteristic of SARS-CoV-2, which mutates frequently. Herein, we describe the clinical case of an immunosuppressed host in whom inadequate treatment resulted in highly diverse SARS-CoV-2 mutations that threatened the patient's health due to the development of drug-resistant variants.
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Affiliation(s)
- Hidetoshi Igari
- Department of Infectious Diseases, Chiba University Hospital, Chiba, Chiba, Japan.
- Future Mucosal Vaccine Research and Development Center, Chiba University Hospital, Chiba, Chiba, Japan.
- COVID-19 Vaccine Center, Chiba University Hospital, Chiba, Chiba, Japan.
- Research Institute of Disaster Medicine, Chiba University, Chiba, Chiba, Japan.
| | - Seiichiro Sakao
- Department of Respiratory Medicine, Chiba University Hospital, Chiba, Chiba, Japan
- Department of Pulmonary Medicine, School of Medicine, International University of Health and Welfare, Narita, Chiba, Japan
| | - Takayuki Ishige
- Division of Laboratory Medicine, Chiba University Hospital, Chiba, Chiba, Japan.
| | - Kengo Saito
- Department of Molecular Virology, Graduate School of Medicine, Chiba University, Chiba, Chiba, Japan
| | - Shota Murata
- Division of Laboratory Medicine, Chiba University Hospital, Chiba, Chiba, Japan
| | - Misuzu Yahaba
- Department of Infectious Diseases, Chiba University Hospital, Chiba, Chiba, Japan
| | - Toshibumi Taniguchi
- Department of Infectious Diseases, Chiba University Hospital, Chiba, Chiba, Japan
- Research Institute of Disaster Medicine, Chiba University, Chiba, Chiba, Japan
| | - Akiko Suganami
- Department of Bioinformatics, Graduate School of Medicine, Chiba University, Chiba, Chiba, Japan
| | - Kazuyuki Matsushita
- Division of Laboratory Medicine, Chiba University Hospital, Chiba, Chiba, Japan
| | - Yutaka Tamura
- Department of Bioinformatics, Graduate School of Medicine, Chiba University, Chiba, Chiba, Japan
| | - Takuji Suzuki
- Future Mucosal Vaccine Research and Development Center, Chiba University Hospital, Chiba, Chiba, Japan
- Department of Respiratory Medicine, Chiba University Hospital, Chiba, Chiba, Japan
- Synergy Institute for Futuristic Mucosal Vaccine Research and Development, Chiba University, Chiba, Chiba, Japan
| | - Eiji Ido
- Department of Infectious Diseases, Chiba University Hospital, Chiba, Chiba, Japan.
- Department of Molecular Virology, Graduate School of Medicine, Chiba University, Chiba, Chiba, Japan.
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7
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Daviña-Núñez C, Pérez S, Cabrera-Alvargonzález JJ, Rincón-Quintero A, Treinta-Álvarez A, Godoy-Diz M, Suárez-Luque S, Regueiro-García B. Performance of amplicon and capture based next-generation sequencing approaches for the epidemiological surveillance of Omicron SARS-CoV-2 and other variants of concern. PLoS One 2024; 19:e0289188. [PMID: 38683803 PMCID: PMC11057745 DOI: 10.1371/journal.pone.0289188] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2023] [Accepted: 03/14/2024] [Indexed: 05/02/2024] Open
Abstract
To control the SARS-CoV-2 pandemic, healthcare systems have focused on ramping up their capacity for epidemiological surveillance through viral whole genome sequencing. In this paper, we tested the performance of two protocols of SARS-CoV-2 nucleic acid enrichment, an amplicon enrichment using different versions of the ARTIC primer panel and a hybrid-capture method using KAPA RNA Hypercap. We focused on the challenge of the Omicron variant sequencing, the advantages of automated library preparation and the influence of the bioinformatic analysis in the final consensus sequence. All 94 samples were sequenced using Illumina iSeq 100 and analysed with two bioinformatic pipelines: a custom-made pipeline and an Illumina-owned pipeline. We were unsuccessful in sequencing six samples using the capture enrichment due to low reads. On the other hand, amplicon dropout and mispriming caused the loss of mutation G21987A and the erroneous addition of mutation T15521A respectively using amplicon enrichment. Overall, we found high sequence agreement regardless of method of enrichment, bioinformatic pipeline or the use of automation for library preparation in eight different SARS-CoV-2 variants. Automation and the use of a simple app for bioinformatic analysis can simplify the genotyping process, making it available for more diagnostic facilities and increasing global vigilance.
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Affiliation(s)
- Carlos Daviña-Núñez
- Microbiology and Infectology Research Group, Galicia Sur Health Research Institute (IIS Galicia Sur), Vigo, Spain
- Universidade de Vigo, Vigo, Spain
| | - Sonia Pérez
- Microbiology and Infectology Research Group, Galicia Sur Health Research Institute (IIS Galicia Sur), Vigo, Spain
- Microbiology Department, Complexo Hospitalario Universitario de Vigo (CHUVI), SERGAS, Vigo, Spain
| | - Jorge Julio Cabrera-Alvargonzález
- Microbiology and Infectology Research Group, Galicia Sur Health Research Institute (IIS Galicia Sur), Vigo, Spain
- Microbiology Department, Complexo Hospitalario Universitario de Vigo (CHUVI), SERGAS, Vigo, Spain
| | - Anniris Rincón-Quintero
- Microbiology and Infectology Research Group, Galicia Sur Health Research Institute (IIS Galicia Sur), Vigo, Spain
- Microbiology Department, Complexo Hospitalario Universitario de Vigo (CHUVI), SERGAS, Vigo, Spain
| | - Ana Treinta-Álvarez
- Microbiology Department, Complexo Hospitalario Universitario de Vigo (CHUVI), SERGAS, Vigo, Spain
| | - Montse Godoy-Diz
- Microbiology Department, Complexo Hospitalario Universitario de Vigo (CHUVI), SERGAS, Vigo, Spain
| | - Silvia Suárez-Luque
- Dirección Xeral de Saúde Pública, Xunta de Galicia, Consellería de Sanidade, Santiago de Compostela, A Coruña, Spain
| | - Benito Regueiro-García
- Microbiology and Infectology Research Group, Galicia Sur Health Research Institute (IIS Galicia Sur), Vigo, Spain
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8
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Duchen D, Clipman SJ, Vergara C, Thio CL, Thomas DL, Duggal P, Wojcik GL. A hepatitis B virus (HBV) sequence variation graph improves alignment and sample-specific consensus sequence construction. PLoS One 2024; 19:e0301069. [PMID: 38669259 PMCID: PMC11051683 DOI: 10.1371/journal.pone.0301069] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2023] [Accepted: 03/09/2024] [Indexed: 04/28/2024] Open
Abstract
Nearly 300 million individuals live with chronic hepatitis B virus (HBV) infection (CHB), for which no curative therapy is available. As viral diversity is associated with pathogenesis and immunological control of infection, improved methods to characterize this diversity could aid drug development efforts. Conventionally, viral sequencing data are mapped/aligned to a reference genome, and only the aligned sequences are retained for analysis. Thus, reference selection is critical, yet selecting the most representative reference a priori remains difficult. We investigate an alternative pangenome approach which can combine multiple reference sequences into a graph which can be used during alignment. Using simulated short-read sequencing data generated from publicly available HBV genomes and real sequencing data from an individual living with CHB, we demonstrate alignment to a phylogenetically representative 'genome graph' can improve alignment, avoid issues of reference ambiguity, and facilitate the construction of sample-specific consensus sequences more genetically similar to the individual's infection. Graph-based methods can, therefore, improve efforts to characterize the genetics of viral pathogens, including HBV, and have broader implications in host-pathogen research.
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Affiliation(s)
- Dylan Duchen
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States of America
- Center for Biomedical Data Science, Yale School of Medicine, New Haven, CT, United States of America
| | - Steven J. Clipman
- Division of Infectious Diseases, Johns Hopkins University School of Medicine, Baltimore, MD, United States of America
| | - Candelaria Vergara
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States of America
| | - Chloe L. Thio
- Division of Infectious Diseases, Johns Hopkins University School of Medicine, Baltimore, MD, United States of America
| | - David L. Thomas
- Division of Infectious Diseases, Johns Hopkins University School of Medicine, Baltimore, MD, United States of America
| | - Priya Duggal
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States of America
| | - Genevieve L. Wojcik
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States of America
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9
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Santos JD, Sobral D, Pinheiro M, Isidro J, Bogaardt C, Pinto M, Eusébio R, Santos A, Mamede R, Horton DL, Gomes JP, Borges V. INSaFLU-TELEVIR: an open web-based bioinformatics suite for viral metagenomic detection and routine genomic surveillance. Genome Med 2024; 16:61. [PMID: 38659008 PMCID: PMC11044337 DOI: 10.1186/s13073-024-01334-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2023] [Accepted: 04/15/2024] [Indexed: 04/26/2024] Open
Abstract
BACKGROUND Implementation of clinical metagenomics and pathogen genomic surveillance can be particularly challenging due to the lack of bioinformatics tools and/or expertise. In order to face this challenge, we have previously developed INSaFLU, a free web-based bioinformatics platform for virus next-generation sequencing data analysis. Here, we considerably expanded its genomic surveillance component and developed a new module (TELEVIR) for metagenomic virus identification. RESULTS The routine genomic surveillance component was strengthened with new workflows and functionalities, including (i) a reference-based genome assembly pipeline for Oxford Nanopore technologies (ONT) data; (ii) automated SARS-CoV-2 lineage classification; (iii) Nextclade analysis; (iv) Nextstrain phylogeographic and temporal analysis (SARS-CoV-2, human and avian influenza, monkeypox, respiratory syncytial virus (RSV A/B), as well as a "generic" build for other viruses); and (v) algn2pheno for screening mutations of interest. Both INSaFLU pipelines for reference-based consensus generation (Illumina and ONT) were benchmarked against commonly used command line bioinformatics workflows for SARS-CoV-2, and an INSaFLU snakemake version was released. In parallel, a new module (TELEVIR) for virus detection was developed, after extensive benchmarking of state-of-the-art metagenomics software and following up-to-date recommendations and practices in the field. TELEVIR allows running complex workflows, covering several combinations of steps (e.g., with/without viral enrichment or host depletion), classification software (e.g., Kaiju, Kraken2, Centrifuge, FastViromeExplorer), and databases (RefSeq viral genome, Virosaurus, etc.), while culminating in user- and diagnosis-oriented reports. Finally, to potentiate real-time virus detection during ONT runs, we developed findONTime, a tool aimed at reducing costs and the time between sample reception and diagnosis. CONCLUSIONS The accessibility, versatility, and functionality of INSaFLU-TELEVIR are expected to supply public and animal health laboratories and researchers with a user-oriented and pan-viral bioinformatics framework that promotes a strengthened and timely viral metagenomic detection and routine genomics surveillance. INSaFLU-TELEVIR is compatible with Illumina, Ion Torrent, and ONT data and is freely available at https://insaflu.insa.pt/ (online tool) and https://github.com/INSaFLU (code).
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Affiliation(s)
- João Dourado Santos
- Genomics and Bioinformatics Unit, Department of Infectious Diseases, National Institute of Health Doutor Ricardo Jorge (INSA), Lisbon, Portugal
| | - Daniel Sobral
- Genomics and Bioinformatics Unit, Department of Infectious Diseases, National Institute of Health Doutor Ricardo Jorge (INSA), Lisbon, Portugal
| | - Miguel Pinheiro
- Institute of Biomedicine-iBiMED, Department of Medical Sciences, University of Aveiro, Aveiro, Portugal
| | - Joana Isidro
- Genomics and Bioinformatics Unit, Department of Infectious Diseases, National Institute of Health Doutor Ricardo Jorge (INSA), Lisbon, Portugal
| | - Carlijn Bogaardt
- Department of Comparative Biomedical Sciences, School of Veterinary Medicine, University of Surrey, Surrey, UK
| | - Miguel Pinto
- Genomics and Bioinformatics Unit, Department of Infectious Diseases, National Institute of Health Doutor Ricardo Jorge (INSA), Lisbon, Portugal
| | - Rodrigo Eusébio
- Genomics and Bioinformatics Unit, Department of Infectious Diseases, National Institute of Health Doutor Ricardo Jorge (INSA), Lisbon, Portugal
| | - André Santos
- Genomics and Bioinformatics Unit, Department of Infectious Diseases, National Institute of Health Doutor Ricardo Jorge (INSA), Lisbon, Portugal
| | - Rafael Mamede
- Faculdade de Medicina, Instituto de Microbiologia, Instituto de Medicina Molecular, Universidade de Lisboa, Lisbon, Portugal
| | - Daniel L Horton
- Department of Comparative Biomedical Sciences, School of Veterinary Medicine, University of Surrey, Surrey, UK
| | - João Paulo Gomes
- Genomics and Bioinformatics Unit, Department of Infectious Diseases, National Institute of Health Doutor Ricardo Jorge (INSA), Lisbon, Portugal
- Veterinary and Animal Research Centre (CECAV), Faculty of Veterinary Medicine, Lusófona University, Lisbon, Portugal
| | - Vítor Borges
- Genomics and Bioinformatics Unit, Department of Infectious Diseases, National Institute of Health Doutor Ricardo Jorge (INSA), Lisbon, Portugal.
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10
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Taylor-Salmon E, Hill V, Paul LM, Koch RT, Breban MI, Chaguza C, Sodeinde A, Warren JL, Bunch S, Cano N, Cone M, Eysoldt S, Garcia A, Gilles N, Hagy A, Heberlein L, Jaber R, Kassens E, Colarusso P, Davis A, Baudin S, Rico E, Mejía-Echeverri Á, Scott B, Stanek D, Zimler R, Muñoz-Jordán JL, Santiago GA, Adams LE, Paz-Bailey G, Spillane M, Katebi V, Paulino-Ramírez R, Mueses S, Peguero A, Sánchez N, Norman FF, Galán JC, Huits R, Hamer DH, Vogels CBF, Morrison A, Michael SF, Grubaugh ND. Travel surveillance uncovers dengue virus dynamics and introductions in the Caribbean. Nat Commun 2024; 15:3508. [PMID: 38664380 PMCID: PMC11045810 DOI: 10.1038/s41467-024-47774-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2023] [Accepted: 04/11/2024] [Indexed: 04/28/2024] Open
Abstract
Dengue is the most prevalent mosquito-borne viral disease in humans, and cases are continuing to rise globally. In particular, islands in the Caribbean have experienced more frequent outbreaks, and all four dengue virus (DENV) serotypes have been reported in the region, leading to hyperendemicity and increased rates of severe disease. However, there is significant variability regarding virus surveillance and reporting between islands, making it difficult to obtain an accurate understanding of the epidemiological patterns in the Caribbean. To investigate this, we used travel surveillance and genomic epidemiology to reconstruct outbreak dynamics, DENV serotype turnover, and patterns of spread within the region from 2009-2022. We uncovered two recent DENV-3 introductions from Asia, one of which resulted in a large outbreak in Cuba, which was previously under-reported. We also show that while outbreaks can be synchronized between islands, they are often caused by different serotypes. Our study highlights the importance of surveillance of infected travelers to provide a snapshot of local introductions and transmission in areas with limited local surveillance and suggests that the recent DENV-3 introductions may pose a major public health threat in the region.
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Affiliation(s)
- Emma Taylor-Salmon
- Department of Pediatrics, Yale School of Medicine, New Haven, CT, USA.
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA.
| | - Verity Hill
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA
| | - Lauren M Paul
- Department of Biological Sciences, College of Arts and Sciences, Florida Gulf Coast University, Fort Myers, FL, USA
| | - Robert T Koch
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA
| | - Mallery I Breban
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA
| | - Chrispin Chaguza
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA
| | - Afeez Sodeinde
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA
| | - Joshua L Warren
- Department of Biostatistics, Yale School of Public Health, New Haven, CT, USA
- Public Health Modeling Unit, Yale School of Public Health, New Haven, CT, USA
| | - Sylvia Bunch
- Bureau of Public Health Laboratories, Division of Disease Control and Health Protection, Florida Department of Health, Tampa, FL, USA
| | - Natalia Cano
- Bureau of Public Health Laboratories, Division of Disease Control and Health Protection, Florida Department of Health, Tampa, FL, USA
| | - Marshall Cone
- Bureau of Public Health Laboratories, Division of Disease Control and Health Protection, Florida Department of Health, Tampa, FL, USA
| | - Sarah Eysoldt
- Bureau of Public Health Laboratories, Division of Disease Control and Health Protection, Florida Department of Health, Tampa, FL, USA
| | - Alezaundra Garcia
- Bureau of Public Health Laboratories, Division of Disease Control and Health Protection, Florida Department of Health, Tampa, FL, USA
| | - Nicadia Gilles
- Bureau of Public Health Laboratories, Division of Disease Control and Health Protection, Florida Department of Health, Tampa, FL, USA
| | - Andrew Hagy
- Bureau of Public Health Laboratories, Division of Disease Control and Health Protection, Florida Department of Health, Tampa, FL, USA
| | - Lea Heberlein
- Bureau of Public Health Laboratories, Division of Disease Control and Health Protection, Florida Department of Health, Tampa, FL, USA
| | - Rayah Jaber
- Bureau of Public Health Laboratories, Division of Disease Control and Health Protection, Florida Department of Health, Tampa, FL, USA
| | - Elizabeth Kassens
- Bureau of Public Health Laboratories, Division of Disease Control and Health Protection, Florida Department of Health, Tampa, FL, USA
| | - Pamela Colarusso
- Bureau of Public Health Laboratories, Division of Disease Control and Health Protection, Florida Department of Health, Jacksonville, FL, USA
| | - Amanda Davis
- Bureau of Public Health Laboratories, Division of Disease Control and Health Protection, Florida Department of Health, Jacksonville, FL, USA
| | - Samantha Baudin
- Florida Department of Health in Miami-Dade County, Miami, FL, USA
| | - Edhelene Rico
- Florida Department of Health in Miami-Dade County, Miami, FL, USA
| | | | - Blake Scott
- Bureau of Epidemiology, Division of Disease Control and Health Protection, Florida Department of Health, Tallahassee, FL, USA
| | - Danielle Stanek
- Bureau of Epidemiology, Division of Disease Control and Health Protection, Florida Department of Health, Tallahassee, FL, USA
| | - Rebecca Zimler
- Bureau of Epidemiology, Division of Disease Control and Health Protection, Florida Department of Health, Tallahassee, FL, USA
| | - Jorge L Muñoz-Jordán
- Division of Vector-Borne Diseases, Centers for Disease Control and Prevention, San Juan, Puerto Rico
| | - Gilberto A Santiago
- Division of Vector-Borne Diseases, Centers for Disease Control and Prevention, San Juan, Puerto Rico
| | - Laura E Adams
- Division of Vector-Borne Diseases, Centers for Disease Control and Prevention, San Juan, Puerto Rico
| | - Gabriela Paz-Bailey
- Division of Vector-Borne Diseases, Centers for Disease Control and Prevention, San Juan, Puerto Rico
| | - Melanie Spillane
- Office of Data, Analytics, and Technology, Division of Global Migration Health, Centers for Disease Control and Prevention, Atlanta, GA, USA
- Bureau for Global Health, United States Agency for International Development, Arlington, VA, USA
| | - Volha Katebi
- Office of Data, Analytics, and Technology, Division of Global Migration Health, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Robert Paulino-Ramírez
- Instituto de Medicina Tropical & Salud Global, Universidad Iberoamericana, UNIBE Research Hub, Santo Domingo, Dominican Republic
| | - Sayira Mueses
- Instituto de Medicina Tropical & Salud Global, Universidad Iberoamericana, UNIBE Research Hub, Santo Domingo, Dominican Republic
| | - Armando Peguero
- Instituto de Medicina Tropical & Salud Global, Universidad Iberoamericana, UNIBE Research Hub, Santo Domingo, Dominican Republic
| | - Nelissa Sánchez
- Instituto de Medicina Tropical & Salud Global, Universidad Iberoamericana, UNIBE Research Hub, Santo Domingo, Dominican Republic
| | - Francesca F Norman
- National Referral Unit for Tropical Diseases, Infectious Diseases Department, CIBER de Enfermedades Infecciosas, IRYCIS, Hospital Ramón y Cajal, Universidad de Alcalá, Madrid, Spain
| | - Juan-Carlos Galán
- Microbiology Department, Hospital Ramón y Cajal, Instituto Ramón y Cajal de Investigación Sanitaria (IRYCIS), CIBER de Epidemiologia y Salud Publica (CIBERESP), Madrid, Spain
| | - Ralph Huits
- Department of Infectious Tropical Diseases and Microbiology, IRCCS Sacro Cuore Don Calabria Hospital, Negrar, Verona, Italy
| | - Davidson H Hamer
- Department of Global Health, Boston University School of Public Health, Section of Infectious Diseases, Boston University School of Medicine, Center for Emerging Infectious Disease Policy and Research, Boston University, and National Emerging Infectious Disease Laboratory, Boston, MA, USA
| | - 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
| | - Andrea Morrison
- Bureau of Epidemiology, Division of Disease Control and Health Protection, Florida Department of Health, Tallahassee, FL, USA.
| | - Scott F Michael
- Department of Biological Sciences, College of Arts and Sciences, Florida Gulf Coast University, Fort Myers, FL, USA.
| | - Nathan D Grubaugh
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA.
- Public Health Modeling Unit, Yale School of Public Health, New Haven, CT, USA.
- Yale Institute for Global Health, Yale University, New Haven, CT, USA.
- Department of Ecology and Evolutionary Biology, Yale University, New Haven, CT, USA.
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11
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Merkt S, Ali S, Gudina EK, Adissu W, Gize A, Muenchhoff M, Graf A, Krebs S, Elsbernd K, Kisch R, Betizazu SS, Fantahun B, Bekele D, Rubio-Acero R, Gashaw M, Girma E, Yilma D, Zeynudin A, Paunovic I, Hoelscher M, Blum H, Hasenauer J, Kroidl A, Wieser A. Long-term monitoring of SARS-CoV-2 seroprevalence and variants in Ethiopia provides prediction for immunity and cross-immunity. Nat Commun 2024; 15:3463. [PMID: 38658564 PMCID: PMC11043357 DOI: 10.1038/s41467-024-47556-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2023] [Accepted: 04/03/2024] [Indexed: 04/26/2024] Open
Abstract
Under-reporting of COVID-19 and the limited information about circulating SARS-CoV-2 variants remain major challenges for many African countries. We analyzed SARS-CoV-2 infection dynamics in Addis Ababa and Jimma, Ethiopia, focusing on reinfection, immunity, and vaccination effects. We conducted an antibody serology study spanning August 2020 to July 2022 with five rounds of data collection across a population of 4723, sequenced PCR-test positive samples, used available test positivity rates, and constructed two mathematical models integrating this data. A multivariant model explores variant dynamics identifying wildtype, alpha, delta, and omicron BA.4/5 as key variants in the study population, and cross-immunity between variants, revealing risk reductions between 24% and 69%. An antibody-level model predicts slow decay leading to sustained high antibody levels. Retrospectively, increased early vaccination might have substantially reduced infections during the delta and omicron waves in the considered group of individuals, though further vaccination now seems less impactful.
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Affiliation(s)
- Simon Merkt
- Life and Medical Sciences (LIMES), University of Bonn, Bonn, Germany
| | - Solomon Ali
- Saint Paul's Hospital Millennium Medical College, Addis Ababa, Ethiopia
| | - Esayas Kebede Gudina
- Jimma University Clinical Trial Unit, Jimma University Institute of Health, Jimma, Ethiopia
| | - Wondimagegn Adissu
- Jimma University Clinical Trial Unit, Jimma University Institute of Health, Jimma, Ethiopia
| | - Addisu Gize
- Saint Paul's Hospital Millennium Medical College, Addis Ababa, Ethiopia
- CIH LMU Center for International Health, LMU Munich, Munich, Germany
| | - Maximilian Muenchhoff
- Max von Pettenkofer Institute and Gene Center, Virology, National Reference Center for Retroviruses, LMU Munich, Munich, Germany
- German Center for Infection Research (DZIF), partner site 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
| | - Kira Elsbernd
- Division of Infectious Diseases and Tropical Medicine, LMU University Hospital, LMU Munich, Munich, Germany
- Institute for Medical Information Processing, Biometry and Epidemiology (IBE), Faculty of Medicine, LMU Munich, Munich, Germany
| | - Rebecca Kisch
- Division of Infectious Diseases and Tropical Medicine, LMU University Hospital, LMU Munich, Munich, Germany
| | | | - Bereket Fantahun
- Saint Paul's Hospital Millennium Medical College, Addis Ababa, Ethiopia
| | - Delayehu Bekele
- Saint Paul's Hospital Millennium Medical College, Addis Ababa, Ethiopia
| | - Raquel Rubio-Acero
- Division of Infectious Diseases and Tropical Medicine, LMU University Hospital, LMU Munich, Munich, Germany
| | - Mulatu Gashaw
- Jimma University Clinical Trial Unit, Jimma University Institute of Health, Jimma, Ethiopia
| | - Eyob Girma
- Jimma University Clinical Trial Unit, Jimma University Institute of Health, Jimma, Ethiopia
| | - Daniel Yilma
- Jimma University Clinical Trial Unit, Jimma University Institute of Health, Jimma, Ethiopia
| | - Ahmed Zeynudin
- Jimma University Clinical Trial Unit, Jimma University Institute of Health, Jimma, Ethiopia
| | - Ivana Paunovic
- Division of Infectious Diseases and Tropical Medicine, LMU University Hospital, LMU Munich, Munich, Germany
- Immunology, Infection and Pandemic Research IIP, Fraunhofer ITMP, Munich, Germany
| | - Michael Hoelscher
- German Center for Infection Research (DZIF), partner site Munich, Munich, Germany
- Division of Infectious Diseases and Tropical Medicine, LMU University Hospital, LMU Munich, Munich, Germany
- Immunology, Infection and Pandemic Research IIP, Fraunhofer ITMP, Munich, Germany
- Unit Global Health, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg, Germany
| | - Helmut Blum
- Laboratory for Functional Genome Analysis, Gene Center, LMU Munich, Munich, Germany
| | - Jan Hasenauer
- Life and Medical Sciences (LIMES), University of Bonn, Bonn, Germany.
- Institute of Computational Biology, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg, Germany.
- Center for Mathematics, Technische Universität München, Garching, Germany.
| | - Arne Kroidl
- German Center for Infection Research (DZIF), partner site Munich, Munich, Germany.
- Division of Infectious Diseases and Tropical Medicine, LMU University Hospital, LMU Munich, Munich, Germany.
| | - Andreas Wieser
- German Center for Infection Research (DZIF), partner site Munich, Munich, Germany.
- Division of Infectious Diseases and Tropical Medicine, LMU University Hospital, LMU Munich, Munich, Germany.
- Immunology, Infection and Pandemic Research IIP, Fraunhofer ITMP, Munich, Germany.
- Faculty of Medicine, Max Von Pettenkofer Institute, LMU Munich, Munich, Germany.
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12
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Monzón S, Varona S, Negredo A, Vidal-Freire S, Patiño-Galindo JA, Ferressini-Gerpe N, Zaballos A, Orviz E, Ayerdi O, Muñoz-Gómez A, Delgado-Iribarren A, Estrada V, García C, Molero F, Sánchez-Mora P, Torres M, Vázquez A, Galán JC, Torres I, Causse Del Río M, Merino-Diaz L, López M, Galar A, Cardeñoso L, Gutiérrez A, Loras C, Escribano I, Alvarez-Argüelles ME, Del Río L, Simón M, Meléndez MA, Camacho J, Herrero L, Jiménez P, Navarro-Rico ML, Jado I, Giannetti E, Kuhn JH, Sanchez-Lockhart M, Di Paola N, Kugelman JR, Guerra S, García-Sastre A, Cuesta I, Sánchez-Seco MP, Palacios G. Monkeypox virus genomic accordion strategies. Nat Commun 2024; 15:3059. [PMID: 38637500 PMCID: PMC11026394 DOI: 10.1038/s41467-024-46949-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2023] [Accepted: 03/14/2024] [Indexed: 04/20/2024] Open
Abstract
The 2023 monkeypox (mpox) epidemic was caused by a subclade IIb descendant of a monkeypox virus (MPXV) lineage traced back to Nigeria in 1971. Person-to-person transmission appears higher than for clade I or subclade IIa MPXV, possibly caused by genomic changes in subclade IIb MPXV. Key genomic changes could occur in the genome's low-complexity regions (LCRs), which are challenging to sequence and are often dismissed as uninformative. Here, using a combination of highly sensitive techniques, we determine a high-quality MPXV genome sequence of a representative of the current epidemic with LCRs resolved at unprecedented accuracy. This reveals significant variation in short tandem repeats within LCRs. We demonstrate that LCR entropy in the MPXV genome is significantly higher than that of single-nucleotide polymorphisms (SNPs) and that LCRs are not randomly distributed. In silico analyses indicate that expression, translation, stability, or function of MPXV orthologous poxvirus genes (OPGs), including OPG153, OPG204, and OPG208, could be affected in a manner consistent with the established "genomic accordion" evolutionary strategies of orthopoxviruses. We posit that genomic studies focusing on phenotypic MPXV differences should consider LCR variability.
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Affiliation(s)
- Sara Monzón
- Unidad de Bioinformática, Unidades Centrales Científico Técnicas, Instituto de Salud Carlos III, 28029, Madrid, Spain
| | - Sarai Varona
- Unidad de Bioinformática, Unidades Centrales Científico Técnicas, Instituto de Salud Carlos III, 28029, Madrid, Spain
- Escuela Internacional de Doctorado de la UNED (EIDUNED), Universidad Nacional de Educación a Distancia (UNED), 2832, Madrid, Spain
| | - Anabel Negredo
- Centro Nacional de Microbiología, Instituto de Salud Carlos III, 28029, Madrid, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Infecciosas (CIBERINFEC), Instituto de Salud Carlos III, 28029, Madrid, Spain
| | - Santiago Vidal-Freire
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | | | | | - Angel Zaballos
- Unidad de Genómica, Unidades Centrales Científico Técnicas, Instituto de Salud Carlos III, 28029, Madrid, Spain
| | - Eva Orviz
- Centro Sanitario Sandoval, Hospital Clínico San Carlos, 28040, Madrid, Spain
| | - Oskar Ayerdi
- Centro Sanitario Sandoval, Hospital Clínico San Carlos, 28040, Madrid, Spain
| | - Ana Muñoz-Gómez
- Centro Sanitario Sandoval, Hospital Clínico San Carlos, 28040, Madrid, Spain
| | | | - Vicente Estrada
- Centro de Investigación Biomédica en Red de Enfermedades Infecciosas (CIBERINFEC), Instituto de Salud Carlos III, 28029, Madrid, Spain
- Centro Sanitario Sandoval, Hospital Clínico San Carlos, 28040, Madrid, Spain
| | - Cristina García
- Centro Nacional de Microbiología, Instituto de Salud Carlos III, 28029, Madrid, Spain
| | - Francisca Molero
- Centro Nacional de Microbiología, Instituto de Salud Carlos III, 28029, Madrid, Spain
| | - Patricia Sánchez-Mora
- Centro Nacional de Microbiología, Instituto de Salud Carlos III, 28029, Madrid, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Infecciosas (CIBERINFEC), Instituto de Salud Carlos III, 28029, Madrid, Spain
| | - Montserrat Torres
- Centro Nacional de Microbiología, Instituto de Salud Carlos III, 28029, Madrid, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Infecciosas (CIBERINFEC), Instituto de Salud Carlos III, 28029, Madrid, Spain
| | - Ana Vázquez
- Centro Nacional de Microbiología, Instituto de Salud Carlos III, 28029, Madrid, Spain
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, 28029, Madrid, Spain
| | - Juan-Carlos Galán
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, 28029, Madrid, Spain
- Servicio de Microbiología, Hospital Universitario Ramón y Cajal, Instituto Ramón y Cajal de Investigación Sanitaria (IRYCIS), 28034, Madrid, Spain
| | - Ignacio Torres
- Servicio de Microbiología, Hospital Clínico Universitario, Instituto de Investigación INCLIVA, 46010, Valencia, Spain
| | - Manuel Causse Del Río
- Unidad de Microbiología, Hospital Universitario Reina Sofía, Instituto Maimónides de Investigación Biomédica de Córdoba, 14004, Córdoba, Spain
| | - Laura Merino-Diaz
- Unidad Clínico de Enfermedades Infecciosas, Microbiología y Medicina Preventiva, Hospital Universitario Virgen del Rocío, 41013, Sevilla, Spain
| | - Marcos López
- Servicio de Microbiología y Parasitología, Hospital Universitario Puerta de Hierro Majadahonda, 28222, Madrid, Spain
| | - Alicia Galar
- Servicio de Microbiología Clínica y Enfermedades Infecciosas, Hospital General Universitario Gregorio Marañón, 28007, Madrid, Spain
| | - Laura Cardeñoso
- Servicio de Microbiología, Instituto de Investigación Sanitaria, Hospital Universitario de la Princesa, 28006, Madrid, Spain
| | - Almudena Gutiérrez
- Servicio de Microbiología y Parasitología Clínica, Hospital Universitario La Paz, 28046, Madrid, Spain
| | - Cristina Loras
- Servicio de Microbiología, Hospital General y Universitario, 13005, Ciudad Real, Spain
| | - Isabel Escribano
- Servicio de Microbiología, Hospital General Universitario Dr. Balmis, 03010, Alicante, Spain
| | | | | | - María Simón
- Servicio de Microbiología, Hospital Central de la Defensa "Gómez Ulla", 28947, Madrid, Spain
| | - María Angeles Meléndez
- Servicio de Microbiología y Parasitología, Hospital Universitario 12 de Octubre, 28041, Madrid, Spain
| | - Juan Camacho
- Centro Nacional de Microbiología, Instituto de Salud Carlos III, 28029, Madrid, Spain
| | - Laura Herrero
- Centro Nacional de Microbiología, Instituto de Salud Carlos III, 28029, Madrid, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Infecciosas (CIBERINFEC), Instituto de Salud Carlos III, 28029, Madrid, Spain
| | - Pilar Jiménez
- Unidad de Genómica, Unidades Centrales Científico Técnicas, Instituto de Salud Carlos III, 28029, Madrid, Spain
| | - María Luisa Navarro-Rico
- Unidad de Genómica, Unidades Centrales Científico Técnicas, Instituto de Salud Carlos III, 28029, Madrid, Spain
| | - Isabel Jado
- Centro Nacional de Microbiología, Instituto de Salud Carlos III, 28029, Madrid, Spain
| | - Elaina Giannetti
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Jens H Kuhn
- Integrated Research Facility at Fort Detrick, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Fort Detrick, Frederick, MD, 21702, USA
| | - Mariano Sanchez-Lockhart
- United States Army Research Institute for Infectious Disease, Fort Detrick, Frederick, MD, 21702, USA
| | - Nicholas Di Paola
- United States Army Research Institute for Infectious Disease, Fort Detrick, Frederick, MD, 21702, USA
| | - Jeffrey R Kugelman
- United States Army Research Institute for Infectious Disease, Fort Detrick, Frederick, MD, 21702, USA
| | - Susana Guerra
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Global Health Emerging Pathogens Institute, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Departmento de Medicina Preventiva, Salud Publica y Microbiología, Universidad Autónoma de Madrid, 28029, Madrid, Spain
| | - Adolfo García-Sastre
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Global Health Emerging Pathogens Institute, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Department of Medicine, Division of Infectious Diseases, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- The Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Department of Pathology, Molecular and Cell-Based Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Isabel Cuesta
- Unidad de Bioinformática, Unidades Centrales Científico Técnicas, Instituto de Salud Carlos III, 28029, Madrid, Spain
| | - Maripaz P Sánchez-Seco
- Centro Nacional de Microbiología, Instituto de Salud Carlos III, 28029, Madrid, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Infecciosas (CIBERINFEC), Instituto de Salud Carlos III, 28029, Madrid, Spain
| | - Gustavo Palacios
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
- Global Health Emerging Pathogens Institute, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
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Žuštra A, Leonard VR, Holland LA, Hu JC, Mu T, Holland SC, Wu LI, Begnel ER, Ojee E, Chohan BH, Richardson BA, Kinuthia J, Wamalwa D, Slyker J, Lehman DA, Gantt S, Lim ES. Longitudinal dynamics of the nasopharyngal microbiome in response to SARS-CoV-2 Omicron variant and HIV infection in Kenyan women and their infants. Res Sq 2024:rs.3.rs-4257641. [PMID: 38699359 PMCID: PMC11065085 DOI: 10.21203/rs.3.rs-4257641/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/05/2024]
Abstract
The nasopharynx and its microbiota are implicated in respiratory health and disease. The interplay between viral infection and the nasopharyngeal microbiome is an area of increased interest and of clinical relevance. The impact of SARS-CoV-2, the etiological agent of the Coronavirus Disease 2019 (COVID-19) pandemic, on the nasopharyngeal microbiome, particularly among individuals living with HIV, is not fully characterized. Here we describe the nasopharyngeal microbiome before, during and after SARS-CoV-2 infection in a longitudinal cohort of Kenyan women (21 living with HIV and 14 HIV-uninfected) and their infants (18 HIV-exposed, uninfected and 18 HIV-unexposed, uninfected), followed between September 2021 through March 2022. We show using genomic epidemiology that mother and infant dyads were infected with the same strain of the SARS-CoV-2 Omicron variant that spread rapidly across Kenya. Additionally, we used metagenomic sequencing to characterize the nasopharyngeal microbiome of 20 women and infants infected with SARS-CoV-2, 6 infants negative for SARS-CoV-2 but experiencing respiratory symptoms, and 34 timepoint matched SARS-CoV-2 negative mothers and infants. Since individuals were sampled longitudinally before and after SARS-CoV-2 infection, we could characterize the short- and long-term impact of SARS-CoV-2 infection on the nasopharyngeal microbiome. We found that mothers and infants had significantly different microbiome composition and bacterial load (p-values <.0001). However, in both mothers and infants, the nasopharyngeal microbiome did not differ before and after SARS-CoV-2 infection, regardless of HIV-exposure status. Our results indicate that the nasopharyngeal microbiome is resilient to SARS-CoV-2 infection and was not significantly modified by HIV.
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14
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Lataretu M, Drechsel O, Kmiecinski R, Trappe K, Hölzer M, Fuchs S. Lessons learned: overcoming common challenges in reconstructing the SARS-CoV-2 genome from short-read sequencing data via CoVpipe2. F1000Res 2024; 12:1091. [PMID: 38716230 PMCID: PMC11074694 DOI: 10.12688/f1000research.136683.1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 04/11/2024] [Indexed: 05/12/2024] Open
Abstract
Background Accurate genome sequences form the basis for genomic surveillance programs, the added value of which was impressively demonstrated during the COVID-19 pandemic by tracing transmission chains, discovering new viral lineages and mutations, and assessing them for infectiousness and resistance to available treatments. Amplicon strategies employing Illumina sequencing have become widely established for variant detection and reference-based reconstruction of SARS-CoV-2 genomes, and are routine bioinformatics tasks. Yet, specific challenges arise when analyzing amplicon data, for example, when crucial and even lineage-determining mutations occur near primer sites. Methods We present CoVpipe2, a bioinformatics workflow developed at the Public Health Institute of Germany to reconstruct SARS-CoV-2 genomes based on short-read sequencing data accurately. The decisive factor here is the reliable, accurate, and rapid reconstruction of genomes, considering the specifics of the used sequencing protocol. Besides fundamental tasks like quality control, mapping, variant calling, and consensus generation, we also implemented additional features to ease the detection of mixed samples and recombinants. Results We highlight common pitfalls in primer clipping, detecting heterozygote variants, and dealing with low-coverage regions and deletions. We introduce CoVpipe2 to address the above challenges and have compared and successfully validated the pipeline against selected publicly available benchmark datasets. CoVpipe2 features high usability, reproducibility, and a modular design that specifically addresses the characteristics of short-read amplicon protocols but can also be used for whole-genome short-read sequencing data. Conclusions CoVpipe2 has seen multiple improvement cycles and is continuously maintained alongside frequently updated primer schemes and new developments in the scientific community. Our pipeline is easy to set up and use and can serve as a blueprint for other pathogens in the future due to its flexibility and modularity, providing a long-term perspective for continuous support. CoVpipe2 is written in Nextflow and is freely accessible from \href{https://github.com/rki-mf1/CoVpipe2}{github.com/rki-mf1/CoVpipe2} under the GPL3 license.
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Affiliation(s)
- Marie Lataretu
- Genome Competence Center (MF1), Robert Koch Institute, Berlin, 13353, Germany
| | - Oliver Drechsel
- Genome Competence Center (MF1), Robert Koch Institute, Berlin, 13353, Germany
| | - René Kmiecinski
- Genome Competence Center (MF1), Robert Koch Institute, Berlin, 13353, Germany
| | - Kathrin Trappe
- Genome Competence Center (MF1), Robert Koch Institute, Berlin, 13353, Germany
| | - Martin Hölzer
- Genome Competence Center (MF1), Robert Koch Institute, Berlin, 13353, Germany
| | - Stephan Fuchs
- Genome Competence Center (MF1), Robert Koch Institute, Berlin, 13353, Germany
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15
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Reis AC, Pinto D, Monteiro S, Santos R, Martins JV, Sousa A, Páscoa R, Lourinho R, Cunha MV. Systematic SARS-CoV-2 S-gene sequencing in wastewater samples enables early lineage detection and uncovers rare mutations in Portugal. Sci Total Environ 2024; 921:170961. [PMID: 38367735 DOI: 10.1016/j.scitotenv.2024.170961] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/29/2023] [Revised: 12/23/2023] [Accepted: 02/11/2024] [Indexed: 02/19/2024]
Abstract
As the COVID-19 pandemic reached its peak, many countries implemented genomic surveillance systems to track the evolution and transmission of SARS-CoV-2. Transition from the pandemic to the endemic phase prioritized alternative testing strategies to maintain effective epidemic surveillance at the population level, with less intensive sequencing efforts. One such promising approach was Wastewater-Based Surveillance (WBS), which offers non-invasive, cost-effective means for analysing virus trends at the sewershed level. From 2020 onwards, wastewater has been recognized as an instrumental source of information for public health, with national and international authorities exploring options to implement national wastewater surveillance systems and increasingly relying on WBS as early warning of potential pathogen outbreaks. In Portugal, several pioneer projects joined the academia, water utilities and Public Administration around WBS. To validate WBS as an effective genomic surveillance strategy, it is crucial to collect long term performance data. In this work, we present one year of systematic SARS-CoV-2 wastewater surveillance in Portugal, representing 35 % of the mainland population. We employed two complementary methods for lineage determination - allelic discrimination by RT-PCR and S-gene sequencing. This combination allowed us to monitor variant evolution in near-real-time and identify low-frequency mutations. Over the course of this year-long study, spanning from May 2022 to April 2023, we successfully tracked the dominant Omicron sub-lineages, their progression and evolution, which aligned with concurrent clinical surveillance data. Our results underscore the effectiveness of WBS as a tracking system for virus variants, with the ability to unveil mutations undetected via massive sequencing of clinical samples from Portugal, demonstrating the ability of WBS to uncover new mutations and detect rare genetic variants. Our findings emphasize that knowledge of the genetic diversity of SARS-CoV-2 at the population level can be extended far beyond via the combination of routine clinical genomic surveillance with wastewater sequencing and genotyping.
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Affiliation(s)
- Ana C Reis
- Centre for Ecology, Evolution and Environmental Changes (cE3c), CHANGE - Global Change and Sustainability Institute, Faculdade de Ciências, Universidade de Lisboa, Lisboa, Portugal; Biosystems & Integrative Sciences Institute (BioISI), Faculdade de Ciências, Universidade de Lisboa, Lisboa, Portugal
| | - Daniela Pinto
- Centre for Ecology, Evolution and Environmental Changes (cE3c), CHANGE - Global Change and Sustainability Institute, Faculdade de Ciências, Universidade de Lisboa, Lisboa, Portugal; Biosystems & Integrative Sciences Institute (BioISI), Faculdade de Ciências, Universidade de Lisboa, Lisboa, Portugal
| | - Sílvia Monteiro
- Laboratório de Análises, Instituto Superior Técnico, Universidade de Lisboa, Lisboa, Portugal; CERIS - Civil Engineering Research and Innovation for Sustainability, Instituto Superior Técnico, Universidade de Lisboa, Lisboa, Portugal; DECN - Department of Nuclear Sciences and Engineering, Instituto Superior Técnico, Universidade de Lisboa, Lisboa, Portugal
| | - Ricardo Santos
- Laboratório de Análises, Instituto Superior Técnico, Universidade de Lisboa, Lisboa, Portugal; CERIS - Civil Engineering Research and Innovation for Sustainability, Instituto Superior Técnico, Universidade de Lisboa, Lisboa, Portugal; DECN - Department of Nuclear Sciences and Engineering, Instituto Superior Técnico, Universidade de Lisboa, Lisboa, Portugal
| | | | | | | | | | - Mónica V Cunha
- Centre for Ecology, Evolution and Environmental Changes (cE3c), CHANGE - Global Change and Sustainability Institute, Faculdade de Ciências, Universidade de Lisboa, Lisboa, Portugal; Biosystems & Integrative Sciences Institute (BioISI), Faculdade de Ciências, Universidade de Lisboa, Lisboa, Portugal.
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16
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Berleant JD, Banal JL, Rao DK, Bathe M. Scalable search of massively pooled nucleic acid samples enabled by a molecular database query language. medRxiv 2024:2024.04.12.24305660. [PMID: 38699348 PMCID: PMC11064994 DOI: 10.1101/2024.04.12.24305660] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/05/2024]
Abstract
The surge in nucleic acid analytics requires scalable storage and retrieval systems akin to electronic databases used to organize digital data. Such a system could transform disease diagnosis, ecological preservation, and molecular surveillance of biothreats. Current storage systems use individual containers for nucleic acid samples, requiring single-sample retrieval that falls short compared with digital databases that allow complex and combinatorial data retrieval on aggregated data. Here, we leverage protective microcapsules with combinatorial DNA labeling that enables arbitrary retrieval on pooled biosamples analogous to Structured Query Languages. Ninety-six encapsulated pooled mock SARS-CoV-2 genomic samples barcoded with patient metadata are used to demonstrate queries with simultaneous matches to sample collection date ranges, locations, and patient health statuses, illustrating how such flexible queries can be used to yield immunological or epidemiological insights. The approach applies to any biosample database labeled with orthogonal barcodes, enabling complex post-hoc analysis, for example, to study global biothreat epidemiology.
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Affiliation(s)
- Joseph D. Berleant
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - James L. Banal
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA
- Present address: Cache DNA, Inc. 733 Industrial Rd., San Carlos, CA 94070 USA
| | | | - Mark Bathe
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA 02139 USA
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17
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Iani FCDM, de Campos GM, Adelino TER, da Silva AS, Kashima S, Alcantara LCJ, Sampaio SC, Giovanetti M, Elias MC, Slavov SN. Metagenomic Analysis for Diagnosis of Hemorrhagic Fever in Minas Gerais, Brazil. Microorganisms 2024; 12:769. [PMID: 38674713 PMCID: PMC11052305 DOI: 10.3390/microorganisms12040769] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2024] [Revised: 04/02/2024] [Accepted: 04/06/2024] [Indexed: 04/28/2024] Open
Abstract
Viral hemorrhagic fever poses a significant public health challenge due to its severe clinical presentation and high mortality rate. The diagnostic process is hindered by similarity of symptoms across different diseases and the broad spectrum of pathogens that can cause hemorrhagic fever. In this study, we applied viral metagenomic analysis to 43 serum samples collected by the Public Health Laboratory (Fundação Ezequiel Dias, FUNED) in Minas Gerais State, Brazil, from patients diagnosed with hemorrhagic fever who had tested negative for the standard local hemorrhagic disease testing panel. This panel includes tests for Dengue virus (DENV) IgM, Zika virus IgM, Chikungunya virus IgM, yellow fever IgM, Hantavirus IgM, Rickettsia rickettsii IgM/IgG, and Leptospira interrogans IgM, in addition to respective molecular tests for these infectious agents. The samples were grouped into 18 pools according to geographic origin and analyzed through next-generation sequencing on the NextSeq 2000 platform. Bioinformatic analysis revealed a prevalent occurrence of commensal viruses across all pools, but, notably, a significant number of reads corresponding to the DENV serotype 2 were identified in one specific pool. Further verification via real-time PCR confirmed the presence of DENV-2 RNA in an index case involving an oncology patient with hemorrhagic fever who had initially tested negative for anti-DENV IgM antibodies, thereby excluding this sample from initial molecular testing. The complete DENV-2 genome isolated from this patient was taxonomically classified within the cosmopolitan genotype that was recently introduced into Brazil. These findings highlight the critical role of considering the patient's clinical condition when deciding upon the most appropriate testing procedures. Additionally, this study showcases the potential of viral metagenomics in pinpointing the viral agents behind hemorrhagic diseases. Future research is needed to assess the practicality of incorporating metagenomics into standard viral diagnostic protocols.
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Affiliation(s)
- Felipe Campos de Melo Iani
- Laboratory of Virology, Ezequiel Dias Foundation (FUNED), Belo Horizonte 30510-010, MG, Brazil; (F.C.d.M.I.); (T.E.R.A.); (A.S.d.S.)
| | - Gabriel Montenegro de Campos
- Blood Center of Riberirão Preto, Faculty of Medicine of Ribeirão Preto, University of São Paulo, Ribeirão Preto 14051-140, SP, Brazil; (G.M.d.C.); (S.K.)
| | - Talita Emile Ribeiro Adelino
- Laboratory of Virology, Ezequiel Dias Foundation (FUNED), Belo Horizonte 30510-010, MG, Brazil; (F.C.d.M.I.); (T.E.R.A.); (A.S.d.S.)
| | - Anielly Sarana da Silva
- Laboratory of Virology, Ezequiel Dias Foundation (FUNED), Belo Horizonte 30510-010, MG, Brazil; (F.C.d.M.I.); (T.E.R.A.); (A.S.d.S.)
| | - Simone Kashima
- Blood Center of Riberirão Preto, Faculty of Medicine of Ribeirão Preto, University of São Paulo, Ribeirão Preto 14051-140, SP, Brazil; (G.M.d.C.); (S.K.)
| | - Luiz Carlos Junior Alcantara
- Instituto Rene Rachou, Fundação Oswaldo Cruz, Belo Horizonte 30190-002, MG, Brazil; (L.C.J.A.); (M.G.)
- Climate Amplified Diseases and Epidemic (CLIMADE), Brasilia 70070-130, DF, Brazil
| | - Sandra Coccuzzo Sampaio
- Laboratory of Cell Cycle (LECC), Center for Scientific Development (CDC), Butantan Institute, São Paulo 05585-000, SP, Brazil; (S.C.S.); (M.C.E.)
| | - Marta Giovanetti
- Instituto Rene Rachou, Fundação Oswaldo Cruz, Belo Horizonte 30190-002, MG, Brazil; (L.C.J.A.); (M.G.)
- Climate Amplified Diseases and Epidemic (CLIMADE), Brasilia 70070-130, DF, Brazil
- Department of Science and Technology for Humans and the Environment, University of Campus Bio-Medico di Roma, 00128 Rome, Italy
- Laboratório de Arbovírus e Vírus Hemorrágicos, Instituto Oswaldo Cruz, Rio de Janeiro 21040-900, RJ, Brazil
| | - Maria Carolina Elias
- Laboratory of Cell Cycle (LECC), Center for Scientific Development (CDC), Butantan Institute, São Paulo 05585-000, SP, Brazil; (S.C.S.); (M.C.E.)
| | - Svetoslav Nanev Slavov
- Laboratory of Cell Cycle (LECC), Center for Scientific Development (CDC), Butantan Institute, São Paulo 05585-000, SP, Brazil; (S.C.S.); (M.C.E.)
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18
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Meade PS, Bandawane P, Bushfield K, Hoxie I, Azcona KR, Burgos D, Choudhury S, Diaby A, Diallo M, Gaynor K, Huang A, Kante K, Khan SN, Kim W, Ajayi PK, Roubidoux E, Nelson S, McMahon R, Albrecht RA, Krammer F, Marizzi C. Detection of clade 2.3.4.4b highly pathogenic H5N1 influenza virus in New York City. bioRxiv 2024:2024.04.04.588061. [PMID: 38617218 PMCID: PMC11014507 DOI: 10.1101/2024.04.04.588061] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/16/2024]
Abstract
Highly pathogenic avian influenza viruses of the H5N1 clade 2.3.4.4b arrived in North America in the winter of 2021/2022. These viruses have spread across the Americas causing morbidity and mortality in both wild and domestic birds as well as some mammalian species, including cattle. Many surveillance programs in wildlife as well as commercial poultry operations have detected these viruses. Here we conducted surveillance of avian species in the urban environment in New York City. We detected highly pathogenic H5N1 viruses in six samples from four different bird species and performed full genome sequencing. Sequence analysis showed the presence of multiple different genotypes. Our work highlights that the interface between animals and humans that may give rise to zoonotic infections or even pandemics is not limited to rural environments and commercial poultry operations but extends into the heart of our urban centers.
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Affiliation(s)
- Philip S. Meade
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Center for Vaccine Research and Pandemic Preparedness (C-VaRPP), Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Pooja Bandawane
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Center for Vaccine Research and Pandemic Preparedness (C-VaRPP), Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Kaitlyn Bushfield
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Center for Vaccine Research and Pandemic Preparedness (C-VaRPP), Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Irene Hoxie
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Center for Vaccine Research and Pandemic Preparedness (C-VaRPP), Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Karla R. Azcona
- New York City Virus Hunters Program, BioBus, New York, NY, USA
| | - Daneidy Burgos
- New York City Virus Hunters Program, BioBus, New York, NY, USA
| | - Sadia Choudhury
- New York City Virus Hunters Program, BioBus, New York, NY, USA
| | - Adama Diaby
- New York City Virus Hunters Program, BioBus, New York, NY, USA
| | - Mariama Diallo
- New York City Virus Hunters Program, BioBus, New York, NY, USA
| | - Kailani Gaynor
- New York City Virus Hunters Program, BioBus, New York, NY, USA
| | - Aaron Huang
- New York City Virus Hunters Program, BioBus, New York, NY, USA
| | - Kadiatou Kante
- New York City Virus Hunters Program, BioBus, New York, NY, USA
| | | | - William Kim
- New York City Virus Hunters Program, BioBus, New York, NY, USA
| | | | - Ericka Roubidoux
- Department of Host Microbe Interactions, St. Jude Children’s Research Hospital, Memphis, Tennessee, USA
| | - Sasha Nelson
- Animal Care Centers of New York, New York, NY, USA
| | | | - Randy A Albrecht
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- The Global Health and Emerging Pathogens Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Florian Krammer
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Center for Vaccine Research and Pandemic Preparedness (C-VaRPP), Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Pathology, Molecular and Cell Based Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Ignaz Semmelweis Institute, Interuniversity Institute for Infection Research, Medical University of Vienna, Vienna, Austria
| | - Christine Marizzi
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- New York City Virus Hunters Program, BioBus, New York, NY, USA
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19
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Rudar J, Kruczkiewicz P, Vernygora O, Golding GB, Hajibabaei M, Lung O. Sequence signatures within the genome of SARS-CoV-2 can be used to predict host source. Microbiol Spectr 2024; 12:e0358423. [PMID: 38436242 PMCID: PMC10986507 DOI: 10.1128/spectrum.03584-23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2023] [Accepted: 02/11/2024] [Indexed: 03/05/2024] Open
Abstract
We conducted an in silico analysis to better understand the potential factors impacting host adaptation of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in white-tailed deer, humans, and mink due to the strong evidence of sustained transmission within these hosts. Classification models trained on single nucleotide and amino acid differences between samples effectively identified white-tailed deer-, human-, and mink-derived SARS-CoV-2. For example, the balanced accuracy score of Extremely Randomized Trees classifiers was 0.984 ± 0.006. Eighty-eight commonly identified predictive mutations are found at sites under strong positive and negative selective pressure. A large fraction of sites under selection (86.9%) or identified by machine learning (87.1%) are found in genes other than the spike. Some locations encoded by these gene regions are predicted to be B- and T-cell epitopes or are implicated in modulating the immune response suggesting that host adaptation may involve the evasion of the host immune system, modulation of the class-I major-histocompatibility complex, and the diminished recognition of immune epitopes by CD8+ T cells. Our selection and machine learning analysis also identified that silent mutations, such as C7303T and C9430T, play an important role in discriminating deer-derived samples across multiple clades. Finally, our investigation into the origin of the B.1.641 lineage from white-tailed deer in Canada discovered an additional human sequence from Michigan related to the B.1.641 lineage sampled near the emergence of this lineage. These findings demonstrate that machine-learning approaches can be used in combination with evolutionary genomics to identify factors possibly involved in the cross-species transmission of viruses and the emergence of novel viral lineages.IMPORTANCESevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is a highly transmissible virus capable of infecting and establishing itself in human and wildlife populations, such as white-tailed deer. This fact highlights the importance of developing novel ways to identify genetic factors that contribute to its spread and adaptation to new host species. This is especially important since these populations can serve as reservoirs that potentially facilitate the re-introduction of new variants into human populations. In this study, we apply machine learning and phylogenetic methods to uncover biomarkers of SARS-CoV-2 adaptation in mink and white-tailed deer. We find evidence demonstrating that both non-synonymous and silent mutations can be used to differentiate animal-derived sequences from human-derived ones and each other. This evidence also suggests that host adaptation involves the evasion of the immune system and the suppression of antigen presentation. Finally, the methods developed here are general and can be used to investigate host adaptation in viruses other than SARS-CoV-2.
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Affiliation(s)
- Josip Rudar
- National Centre for Foreign Animal Disease, Canadian Food Inspection Agency, Winnipeg, Manitoba, Canada
- Department of Integrative Biology & Centre for Biodiversity Genomics, University of Guelph, Guelph, Ontario, Canada
| | - Peter Kruczkiewicz
- National Centre for Foreign Animal Disease, Canadian Food Inspection Agency, Winnipeg, Manitoba, Canada
| | - Oksana Vernygora
- National Centre for Foreign Animal Disease, Canadian Food Inspection Agency, Winnipeg, Manitoba, Canada
| | - G. Brian Golding
- Department of Biology, McMaster University, Hamilton, Ontario, Canada
| | - Mehrdad Hajibabaei
- Department of Integrative Biology & Centre for Biodiversity Genomics, University of Guelph, Guelph, Ontario, Canada
| | - Oliver Lung
- National Centre for Foreign Animal Disease, Canadian Food Inspection Agency, Winnipeg, Manitoba, Canada
- Department of Biological Sciences, University of Manitoba, Winnipeg, Manitoba, Canada
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20
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Lipponen A, Kolehmainen A, Oikarinen S, Hokajärvi AM, Lehto KM, Heikinheimo A, Halkilahti J, Juutinen A, Luomala O, Smura T, Liitsola K, Blomqvist S, Savolainen-Kopra C, Pitkänen T. Detection of SARS-COV-2 variants and their proportions in wastewater samples using next-generation sequencing in Finland. Sci Rep 2024; 14:7751. [PMID: 38565591 PMCID: PMC10987589 DOI: 10.1038/s41598-024-58113-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2023] [Accepted: 03/25/2024] [Indexed: 04/04/2024] Open
Abstract
Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) variants may have different characteristics, e.g., in transmission, mortality, and the effectiveness of vaccines, indicating the importance of variant detection at the population level. Wastewater-based surveillance of SARS-CoV-2 RNA fragments has been shown to be an effective way to monitor the COVID-19 pandemic at the population level. Wastewater is a complex sample matrix affected by environmental factors and PCR inhibitors, causing insufficient coverage in sequencing, for example. Subsequently, results where part of the genome does not have sufficient coverage are not uncommon. To identify variants and their proportions in wastewater over time, we utilized next-generation sequencing with the ARTIC Network's primer set and bioinformatics pipeline to evaluate the presence of variants in partial genome data. Based on the wastewater data from November 2021 to February 2022, the Delta variant was dominant until mid-December in Helsinki, Finland's capital, and thereafter in late December 2022 Omicron became the most common variant. At the same time, the Omicron variant of SARS-CoV-2 outcompeted the previous Delta variant in Finland in new COVID-19 cases. The SARS-CoV-2 variant findings from wastewater are in agreement with the variant information obtained from the patient samples when visually comparing trends in the sewerage network area. This indicates that the sequencing of wastewater is an effective way to monitor temporal and spatial trends of SARS-CoV-2 variants at the population level.
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Affiliation(s)
- Anssi Lipponen
- Expert Microbiology Unit, Department of Health Security, Finnish Institute for Health and Welfare, Kuopio, Finland.
- Institute of Biomedicine, Faculty of Health Sciences, University of Eastern Finland, Kuopio, Finland.
| | - Aleksi Kolehmainen
- Expert Microbiology Unit, Department of Health Security, Finnish Institute for Health and Welfare, Kuopio, Finland
| | - Sami Oikarinen
- Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Anna-Maria Hokajärvi
- Expert Microbiology Unit, Department of Health Security, Finnish Institute for Health and Welfare, Kuopio, Finland
| | - Kirsi-Maarit Lehto
- Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Annamari Heikinheimo
- Department of Food Hygiene and Environmental Health, Faculty of Veterinary Medicine, University of Helsinki, Helsinki, Finland
- Microbiology Unit, Laboratory and Research Division, Finnish Food Authority, Helsinki, Finland
| | - Jani Halkilahti
- Expert Microbiology Unit, Department of Health Security, Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Aapo Juutinen
- Infectious Disease Control and Vaccinations Unit, Department of Health Security, Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Oskari Luomala
- Infectious Disease Control and Vaccinations Unit, Department of Health Security, Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Teemu Smura
- Department of Virology, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Kirsi Liitsola
- Expert Microbiology Unit, Department of Health Security, Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Soile Blomqvist
- Expert Microbiology Unit, Department of Health Security, Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Carita Savolainen-Kopra
- Expert Microbiology Unit, Department of Health Security, Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Tarja Pitkänen
- Expert Microbiology Unit, Department of Health Security, Finnish Institute for Health and Welfare, Kuopio, Finland
- Department of Food Hygiene and Environmental Health, Faculty of Veterinary Medicine, University of Helsinki, Helsinki, Finland
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21
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Talts T, Mosscrop LG, Williams D, Tregoning JS, Paulo W, Kohli A, Williams TC, Hoschler K, Ellis J, de Lusignan S, Zambon M. Robust and sensitive amplicon-based whole-genome sequencing assay of respiratory syncytial virus subtype A and B. Microbiol Spectr 2024; 12:e0306723. [PMID: 38411056 PMCID: PMC10986592 DOI: 10.1128/spectrum.03067-23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2023] [Accepted: 02/06/2024] [Indexed: 02/28/2024] Open
Abstract
Prevention of respiratory syncytial virus (RSV) infection is now a global health priority, with a long-acting monoclonal antibody and two RSV vaccines recently licenced for clinical use. Most licenced and candidate interventions target the RSV fusion (RSV-F) protein. New interventions may be associated with the spread of mutations, reducing susceptibility to antibody neutralization in RSV-F. There is a need for ongoing longitudinal global surveillance of circulating RSV strains. To achieve this large-scale genomic surveillance, a reliable, high-throughput RSV sequencing assay is required. Here we report an improved high-throughput RSV whole-genome sequencing (WGS) assay performed directly on clinical samples without additional enrichment, using a 4-primer-pool, short-amplicon PCR-tiling approach that is suitable for short-read sequencing platforms. Using upper respiratory tract (URT) RSV-positive clinical samples obtained from a sentinel network of primary care providers and from hospital patients (29.7% and 70.2%, respectively; n = 1,037), collected over the period 2019 to 2023, this assay had a threshold of approximately 4 × 103 to 8 × 103 copies/mL (RSV-B and RSV-A sub-types, respectively) as the lowest amount of virus needed in the sample to achieve >96% of whole-genome coverage at a high-quality level. Using a Ct value of 31 as an empirical cut-off, the overall assay success rate of obtaining >90% genome coverage at a read depth minimum of 20 was 96.83% for clinical specimens successfully sequenced from a total of 1,071. The RSV WGS approach described in this study has increased sensitivity compared to previous approaches and can be applied to clinical specimens without the requirement for enrichment. The updated approach produces sequences of high quality consistently and cost-effectively, suitable for implementation to underpin national programs for the surveillance of RSV genomic variation. IMPORTANCE In this paper, we report an improved high-throughput respiratory syncytial virus (RSV) whole-genome sequencing (WGS) assay performed directly on clinical samples, using a 4-primer-pool, short-amplicon PCR-tiling approach that is suitable for short-read sequencing platforms. The RSV WGS approach described in this study has increased sensitivity compared to previous approaches and can be applied to clinical specimens without the requirement for enrichment. The updated approach produces sequences of high quality consistently and cost-effectively, suitable for implementation to underpin national and global programs for the surveillance of RSV genomic variation. The quality of sequence produced is essential for preparedness for new interventions in monitoring antigenic escape, where a single point mutation might lead to a reduction in antibody binding effectiveness and neutralizing activity, or indeed in the monitoring of retaining susceptibility to neutralization by existing and new interventions.
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Affiliation(s)
- Tiina Talts
- UK Health Security Agency, London, United Kingdom
| | | | | | | | | | | | | | | | - Joanna Ellis
- UK Health Security Agency, London, United Kingdom
| | | | - Maria Zambon
- UK Health Security Agency, London, United Kingdom
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22
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Bundschuh C, Weidner N, Klein J, Rausch T, Azevedo N, Telzerow A, Mallm JP, Kim H, Steiger S, Seufert I, Börner K, Bauer K, Hübschmann D, Jost KL, Parthé S, Schnitzler P, Boutros M, Rippe K, Müller B, Bartenschlager R, Kräusslich HG, Benes V. Evolution of SARS-CoV-2 in the Rhine-Neckar/Heidelberg Region 01/2021 - 07/2023. Infect Genet Evol 2024; 119:105577. [PMID: 38403035 DOI: 10.1016/j.meegid.2024.105577] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/12/2023] [Revised: 01/31/2024] [Accepted: 02/21/2024] [Indexed: 02/27/2024]
Abstract
In January 2021, the monitoring of circulating variants of SARS-CoV-2 was initiated in Germany under the Corona Surveillance Act, which was discontinued after July 2023. This initiative aimed to enhance pandemic containment, as specific amino acid changes, particularly in the spike protein, were associated with increased transmission and reduced vaccine efficacy. Our group conducted whole genome sequencing using the ARTIC protocol (currently V4) on Illumina's NextSeq 500 platform (and, starting in May 2023, on the MiSeq DX platform) for SARS-CoV-2 positive specimen from patients at Heidelberg University Hospital, associated hospitals, and the public health office in the Rhine-Neckar/Heidelberg region. In total, we sequenced 26,795 SARS-CoV-2-positive samples between January 2021 and July 2023. Valid sequences, meeting the requirements for upload to the German electronic sequencing data hub (DESH) operated by the Robert Koch Institute (RKI), were determined for 24,852 samples, and the lineage/clade could be identified for 25,912 samples. The year 2021 witnessed significant dynamics in the circulating variants in the Rhine-Neckar/Heidelberg region, including A.27.RN, followed by the emergence of B.1.1.7 (Alpha), subsequently displaced by B.1.617.2 (Delta), and the initial occurrences of B.1.1.529 (Omicron). By January 2022, B.1.1.529 had superseded B.1.617.2, dominating with over 90%. The years 2022 and 2023 were then characterized by the dominance of B.1.1.529 and its sublineages, particularly BA.5 and BA.2, and more recently, the emergence of recombinant variants like XBB.1.5. Since the global dominance of B.1.617.2, the identified variant distribution in our local study, apart from a time delay in the spread of new variants, can be considered largely representative of the global distribution. om a time delay in the spread of new variants, can be considered largely representative of the global distribution.
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Affiliation(s)
- Christian Bundschuh
- Heidelberg University, Medical Faculty Heidelberg, Department of Infectious Diseases, Virology, Heidelberg, Germany.
| | - Niklas Weidner
- Heidelberg University, Medical Faculty Heidelberg, Department of Infectious Diseases, Virology, Heidelberg, Germany; Heidelberg University, Medical Faculty Heidelberg, Department of Infectious Diseases, Microbiology and Hygiene, Heidelberg, Germany
| | - Julian Klein
- Heidelberg University, Medical Faculty Heidelberg, Department of Infectious Diseases, Virology, Heidelberg, Germany
| | - Tobias Rausch
- Genomics Core Facility, European Molecular Biology Laboratory (EMBL), Heidelberg, Germany
| | - Nayara Azevedo
- Genomics Core Facility, European Molecular Biology Laboratory (EMBL), Heidelberg, Germany
| | - Anja Telzerow
- Heidelberg University, Medical Faculty Heidelberg, Department of Infectious Diseases, Virology, Heidelberg, Germany; Genomics Core Facility, European Molecular Biology Laboratory (EMBL), Heidelberg, Germany
| | - Jan-Philipp Mallm
- Single Cell Open Lab, German Cancer Research Center (DKFZ) and Bioquant, Heidelberg, Germany
| | - Heeyoung Kim
- Department of Infectious Diseases, Molecular Virology, Heidelberg University, Heidelberg, Germany
| | - Simon Steiger
- Division Chromatin Networks, German Cancer Research Center (DKFZ) and Bioquant, Heidelberg, Germany
| | - Isabelle Seufert
- Division Chromatin Networks, German Cancer Research Center (DKFZ) and Bioquant, Heidelberg, Germany
| | - Kathleen Börner
- Heidelberg University, Medical Faculty Heidelberg, Department of Infectious Diseases, Virology, Heidelberg, Germany
| | - Katharina Bauer
- Single Cell Open Lab, German Cancer Research Center (DKFZ) and Bioquant, Heidelberg, Germany
| | - Daniel Hübschmann
- Division Stem Cells and Cancer, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Katharina Laurence Jost
- Heidelberg University, Medical Faculty Heidelberg, Department of Infectious Diseases, Virology, Heidelberg, Germany
| | - Sylvia Parthé
- Heidelberg University, Medical Faculty Heidelberg, Department of Infectious Diseases, Virology, Heidelberg, Germany
| | - Paul Schnitzler
- Heidelberg University, Medical Faculty Heidelberg, Department of Infectious Diseases, Virology, Heidelberg, Germany
| | - Michael Boutros
- Division Signaling and Functional Genomics, German Cancer Research Center (DKFZ), Department for Cell and Molecular Biology, Medical Faculty Mannheim, Heidelberg University, Heidelberg, Germany
| | - Karsten Rippe
- Division Chromatin Networks, German Cancer Research Center (DKFZ) and Bioquant, Heidelberg, Germany
| | - Barbara Müller
- Heidelberg University, Medical Faculty Heidelberg, Department of Infectious Diseases, Virology, Heidelberg, Germany
| | - Ralf Bartenschlager
- Single Cell Open Lab, German Cancer Research Center (DKFZ) and Bioquant, Heidelberg, Germany; Division Virus-Associated Carcinogenesis, German Cancer Research Center, Heidelberg, Germany; Deutsches Zentrum für Infektionsforschung, partner site Heidelberg, Germany
| | - Hans-Georg Kräusslich
- Heidelberg University, Medical Faculty Heidelberg, Department of Infectious Diseases, Virology, Heidelberg, Germany; Deutsches Zentrum für Infektionsforschung, partner site Heidelberg, Germany
| | - Vladimir Benes
- Genomics Core Facility, European Molecular Biology Laboratory (EMBL), Heidelberg, Germany.
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23
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Le HD, Thai TN, Kim JK, Song HS, Her M, Tran XT, Kim JY, Kim HR. An Amplicon-Based Application for the Whole-Genome Sequencing of GI-19 Lineage Infectious Bronchitis Virus Directly from Clinical Samples. Viruses 2024; 16:515. [PMID: 38675858 PMCID: PMC11054852 DOI: 10.3390/v16040515] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2024] [Revised: 03/15/2024] [Accepted: 03/23/2024] [Indexed: 04/28/2024] Open
Abstract
Infectious bronchitis virus (IBV) causes a highly contagious respiratory disease in chickens, leading to significant economic losses in the poultry industry worldwide. IBV exhibits a high mutation rate, resulting in the continuous emergence of new variants and strains. A complete genome analysis of IBV is crucial for understanding its characteristics. However, it is challenging to obtain whole-genome sequences from IBV-infected clinical samples due to the low abundance of IBV relative to the host genome. Here, we present a novel approach employing next-generation sequencing (NGS) to directly sequence the complete genome of IBV. Through in silico analysis, six primer pairs were designed to match various genotypes, including the GI-19 lineage of IBV. The primer sets successfully amplified six overlapping fragments by long-range PCR and the size of the amplicons ranged from 3.7 to 6.4 kb, resulting in full coverage of the IBV genome. Furthermore, utilizing Illumina sequencing, we obtained the complete genome sequences of two strains belonging to the GI-19 lineage (QX genotype) from clinical samples, with 100% coverage rates, over 1000 × mean depth coverage, and a high percentage of mapped reads to the reference genomes (96.63% and 97.66%). The reported method significantly improves the whole-genome sequencing of IBVs from clinical samples; thus, it can improve understanding of the epidemiology and evolution of IBVs.
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Affiliation(s)
- Hoang Duc Le
- Avian Disease Division, Animal and Plant Quarantine Agency, Gimcheon 39660, Gyeongsangbuk-do, Republic of Korea; (H.D.L.); (T.N.T.); (J.-K.K.); (H.-S.S.); (M.H.)
- Institute of Biotechnology, Vietnam Academy of Science and Technology, Cau Giay, Hanoi 11300, Vietnam;
| | - Tuyet Ngan Thai
- Avian Disease Division, Animal and Plant Quarantine Agency, Gimcheon 39660, Gyeongsangbuk-do, Republic of Korea; (H.D.L.); (T.N.T.); (J.-K.K.); (H.-S.S.); (M.H.)
| | - Jae-Kyeom Kim
- Avian Disease Division, Animal and Plant Quarantine Agency, Gimcheon 39660, Gyeongsangbuk-do, Republic of Korea; (H.D.L.); (T.N.T.); (J.-K.K.); (H.-S.S.); (M.H.)
| | - Hye-Soon Song
- Avian Disease Division, Animal and Plant Quarantine Agency, Gimcheon 39660, Gyeongsangbuk-do, Republic of Korea; (H.D.L.); (T.N.T.); (J.-K.K.); (H.-S.S.); (M.H.)
| | - Moon Her
- Avian Disease Division, Animal and Plant Quarantine Agency, Gimcheon 39660, Gyeongsangbuk-do, Republic of Korea; (H.D.L.); (T.N.T.); (J.-K.K.); (H.-S.S.); (M.H.)
| | - Xuan Thach Tran
- Institute of Biotechnology, Vietnam Academy of Science and Technology, Cau Giay, Hanoi 11300, Vietnam;
| | - Ji-Ye Kim
- Avian Disease Division, Animal and Plant Quarantine Agency, Gimcheon 39660, Gyeongsangbuk-do, Republic of Korea; (H.D.L.); (T.N.T.); (J.-K.K.); (H.-S.S.); (M.H.)
| | - Hye-Ryoung Kim
- Avian Disease Division, Animal and Plant Quarantine Agency, Gimcheon 39660, Gyeongsangbuk-do, Republic of Korea; (H.D.L.); (T.N.T.); (J.-K.K.); (H.-S.S.); (M.H.)
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24
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Oktavianthi S, Lages AC, Kusuma R, Kurniasih TS, Trimarsanto H, Andriani F, Rustandi D, Meriyanti T, Yusuf I, Malik SG, Jo J, Suriapranata I. Whole-Genome Sequencing and Mutation Analyses of SARS-CoV-2 Isolates from Indonesia. Pathogens 2024; 13:279. [PMID: 38668234 PMCID: PMC11053823 DOI: 10.3390/pathogens13040279] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2023] [Revised: 01/12/2024] [Accepted: 03/07/2024] [Indexed: 04/29/2024] Open
Abstract
The SARS-CoV-2 infection that caused the COVID-19 pandemic has become a significant public health concern. New variants with distinct mutations have emerged, potentially impacting its infectivity, immune evasion capacity, and vaccine response. A whole-genome sequencing study of 292 SARS-CoV-2 isolates collected from selected regions of Indonesia between January and October 2021 was performed to identify the distribution of SARS-CoV-2 variants and common mutations in Indonesia. During January-April 2021, Indonesian lineages B.1.466.2 and B.1.470 dominated, but from May 2021, Delta's AY.23 lineage outcompeted them. An analysis of 7515 published sequences from January 2021 to June 2022 revealed a decline in Delta in November 2021, followed by the emergence of Omicron variants in December 2021. We identified C241T (5'UTR), P314L (NSP12b), F106F (NSP3), and D614G (Spike) mutations in all sequences. The other common substitutions included P681R (76.4%) and T478K (60%) in Spike, D377Y in Nucleocapsid (61%), and I82T in Membrane (60%) proteins. Breakthrough infection and prolonged viral shedding cases were associated with Delta variants carrying the Spike T19R, G142D, L452R, T478K, D614G, P681R, D950N, and V1264L mutations. The dynamic of SARS-CoV-2 variants in Indonesia highlights the importance of continuous genomic surveillance in monitoring and identifying potential strains leading to disease outbreaks.
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Affiliation(s)
- Sukma Oktavianthi
- Mochtar Riady Institute for Nanotechnology, Tangerang 15810, Indonesia; (S.O.); (A.C.L.); (R.K.); (T.S.K.); (F.A.); (I.Y.); (S.G.M.); (J.J.)
- Eijkman Institute for Molecular Biology, Jakarta 10430, Indonesia;
| | - Aksar Chair Lages
- Mochtar Riady Institute for Nanotechnology, Tangerang 15810, Indonesia; (S.O.); (A.C.L.); (R.K.); (T.S.K.); (F.A.); (I.Y.); (S.G.M.); (J.J.)
| | - Rinaldy Kusuma
- Mochtar Riady Institute for Nanotechnology, Tangerang 15810, Indonesia; (S.O.); (A.C.L.); (R.K.); (T.S.K.); (F.A.); (I.Y.); (S.G.M.); (J.J.)
| | - Tri Shinta Kurniasih
- Mochtar Riady Institute for Nanotechnology, Tangerang 15810, Indonesia; (S.O.); (A.C.L.); (R.K.); (T.S.K.); (F.A.); (I.Y.); (S.G.M.); (J.J.)
| | - Hidayat Trimarsanto
- Eijkman Institute for Molecular Biology, Jakarta 10430, Indonesia;
- Menzies School of Health Research, Charles Darwin University, Darwin 0811, Australia
| | - Febi Andriani
- Mochtar Riady Institute for Nanotechnology, Tangerang 15810, Indonesia; (S.O.); (A.C.L.); (R.K.); (T.S.K.); (F.A.); (I.Y.); (S.G.M.); (J.J.)
| | - David Rustandi
- Siloam Hospital Lippo Village, Tangerang 15810, Indonesia; (D.R.); (T.M.)
| | - Tandry Meriyanti
- Siloam Hospital Lippo Village, Tangerang 15810, Indonesia; (D.R.); (T.M.)
| | - Irawan Yusuf
- Mochtar Riady Institute for Nanotechnology, Tangerang 15810, Indonesia; (S.O.); (A.C.L.); (R.K.); (T.S.K.); (F.A.); (I.Y.); (S.G.M.); (J.J.)
| | - Safarina G. Malik
- Mochtar Riady Institute for Nanotechnology, Tangerang 15810, Indonesia; (S.O.); (A.C.L.); (R.K.); (T.S.K.); (F.A.); (I.Y.); (S.G.M.); (J.J.)
- Eijkman Institute for Molecular Biology, Jakarta 10430, Indonesia;
| | - Juandy Jo
- Mochtar Riady Institute for Nanotechnology, Tangerang 15810, Indonesia; (S.O.); (A.C.L.); (R.K.); (T.S.K.); (F.A.); (I.Y.); (S.G.M.); (J.J.)
- Department of Biology, Faculty of Science and Technology, Universitas Pelita Harapan, Tangerang 15811, Indonesia
| | - Ivet Suriapranata
- Mochtar Riady Institute for Nanotechnology, Tangerang 15810, Indonesia; (S.O.); (A.C.L.); (R.K.); (T.S.K.); (F.A.); (I.Y.); (S.G.M.); (J.J.)
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25
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Kadokura K, Kato H, Yoshizumi K, Kamikuri M, Kamenosono A, Shinkawa N, Hamada Y, Kawamura H, Shimada T, Kuroda M, Sunagawa T. Rapid response to a COVID-19 outbreak at a nightclub in Kagoshima prefecture, Japan, in the early phase of the COVID-19 pandemic, June and July 2020: A descriptive epidemiological study. J Infect Chemother 2024:S1341-321X(24)00098-9. [PMID: 38521457 DOI: 10.1016/j.jiac.2024.03.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2023] [Revised: 02/23/2024] [Accepted: 03/20/2024] [Indexed: 03/25/2024]
Abstract
INTRODUCTION During COVID-19 pandemic in Japan, nightclubs were identified as high-risk locations for COVID-19 outbreaks, but an outbreak investigation in this setting is challenging because of the anonymous and opportunistic nature of interactions. METHODS The joint rapid response team collected epidemiological data, conducted descriptive epidemiology to determine the characteristics of cases associated with the nightclub, and implemented countermeasures. Polymerase chain reaction (PCR) tests were performed by the Local Institute of Public Health, Kagoshima University, and several commercial laboratories. RESULTS Between June 15 and July 20, 2020, 121 individuals tested positive for SARS-CoV-2 (59 confirmed and 62 asymptomatic) of whom 8 were nightclub staff who had no travel history of outside Kagoshima, 66 were guests, and 47 were subsequent contacts. The median age was 32 years (interquartile range: 24-43 years). One individual showed severe symptoms but there were no fatal. The epidemic curve showed one peak on June 30 and July 1 with a limited number of cases subsequently. Of the 121 cases, 116 and 5 were in individuals living in and outside Kagoshima Prefecture, respectively. Haplotype network analysis showed 5 genome-wide single-nucleotide variants between the isolates before and during this outbreak. CONCLUSIONS There is a possibility that unidentified guests from outside Kagoshima Prefecture could infect staff who could subsequently spread the virus to guests and other staff, who were mainly a younger population. The rapid outbreak response enabled onward transmission in the community to be minimized. This outbreak investigation could provide insights for effective responses to challenging situations in future pandemic.
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Affiliation(s)
- Keisuke Kadokura
- Field Epidemiology Training Program, National Institute of Infectious Diseases, Tokyo, Japan; Chiba Prefectural Institute of Public Health, Chiba, Japan
| | - Hirofumi Kato
- Center for Field Epidemic Intelligence, Research and Professional Development, National Institute of Infectious Diseases, Tokyo, Japan.
| | - Kayoko Yoshizumi
- Kagoshima City Public Health and Welfare Bureau, Kagoshima, Japan
| | - Miyuki Kamikuri
- Kagoshima City Public Health and Welfare Bureau, Kagoshima, Japan
| | - Akira Kamenosono
- Kagoshima Prefectural Health Promotion Division, Life, Health and Social Welfare Department, Kagoshima, Japan
| | - Naomi Shinkawa
- Department of Microbiology, Kagoshima Prefectural Institute for Environmental Research and Public Health, Kagoshima, Japan
| | - Yuka Hamada
- Department of Microbiology, Kagoshima Prefectural Institute for Environmental Research and Public Health, Kagoshima, Japan
| | - Hideki Kawamura
- Department of Infection Control and Prevention, Kagoshima University Hospital, Kagoshima, Japan
| | - Tomoe Shimada
- Center for Field Epidemic Intelligence, Research and Professional Development, National Institute of Infectious Diseases, Tokyo, Japan
| | - Makoto Kuroda
- Pathogen Genomics Center, National Institute of Infectious Diseases, Tokyo, Japan
| | - Tomimasa Sunagawa
- Center for Field Epidemic Intelligence, Research and Professional Development, National Institute of Infectious Diseases, Tokyo, Japan.
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26
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Goguet E, Olsen CH, Meyer WA, Ansari S, Powers JH, Conner TL, Coggins SA, Wang W, Wang R, Illinik L, Sanchez Edwards M, Jackson-Thompson BM, Hollis-Perry M, Wang G, Alcorta Y, Wong MA, Saunders D, Mohammed R, Balogun B, Kobi P, Kosh L, Bishop-Lilly K, Cer RZ, Arnold CE, Voegtly LJ, Fitzpatrick M, Luquette AE, Malagon F, Ortega O, Parmelee E, Davies J, Lindrose AR, Haines-Hull H, Moser MS, Samuels EC, Rekedal MS, Graydon EK, Malloy AMW, Tribble D, Burgess TH, Campbell W, Robinson S, Broder CC, O’Connell RJ, Weiss CD, Pollett S, Laing E, Mitre E. Immune and behavioral correlates of protection against symptomatic post-vaccination SARS-CoV-2 infection. Front Immunol 2024; 15:1287504. [PMID: 38566991 PMCID: PMC10985347 DOI: 10.3389/fimmu.2024.1287504] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2023] [Accepted: 02/27/2024] [Indexed: 04/04/2024] Open
Abstract
Introduction We sought to determine pre-infection correlates of protection against SARS-CoV-2 post-vaccine inzfections (PVI) acquired during the first Omicron wave in the United States. Methods Serum and saliva samples from 176 vaccinated adults were collected from October to December of 2021, immediately before the Omicron wave, and assessed for SARS-CoV-2 Spike-specific IgG and IgA binding antibodies (bAb). Sera were also assessed for bAb using commercial assays, and for neutralization activity against several SARS-CoV-2 variants. PVI duration and severity, as well as risk and precautionary behaviors, were assessed by questionnaires. Results Serum anti-Spike IgG levels assessed by research assay, neutralization titers against Omicron subvariants, and low home risk scores correlated with protection against PVIs after multivariable regression analysis. Commercial assays did not perform as well as research assay, likely due to their lower dynamic range. Discussion In the 32 participants that developed PVI, anti-Spike IgG bAbs correlated with lower disease severity and shorter duration of illness.
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Affiliation(s)
- Emilie Goguet
- Department of Microbiology and Immunology, Uniformed Services University of the Health Sciences, Bethesda, MD, United States
- The Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc., Bethesda, MD, United States
| | - Cara H. Olsen
- Department of Preventive Medicine & Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, MD, United States
| | | | - Sara Ansari
- Quest Diagnostics, Secaucus, NJ, United States
| | - John H. Powers
- Clinical Research Directorate, Leidos Biomedical Research, Inc., Frederick National Laboratory for Cancer Research, Frederick, MD, United States
| | - Tonia L. Conner
- Department of Microbiology and Immunology, Uniformed Services University of the Health Sciences, Bethesda, MD, United States
| | - Si’Ana A. Coggins
- Department of Microbiology and Immunology, Uniformed Services University of the Health Sciences, Bethesda, MD, United States
- The Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc., Bethesda, MD, United States
| | - Wei Wang
- Division of Viral Products, Office of Vaccine Research and Review, Center for Biologics Evaluation and Research, U.S. Food and Drug Administration, Silver Spring, MD, United States
| | - Richard Wang
- Division of Viral Products, Office of Vaccine Research and Review, Center for Biologics Evaluation and Research, U.S. Food and Drug Administration, Silver Spring, MD, United States
| | - Luca Illinik
- The Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc., Bethesda, MD, United States
- Infectious Disease Clinical Research Program, Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, MD, United States
| | - Margaret Sanchez Edwards
- The Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc., Bethesda, MD, United States
- Infectious Disease Clinical Research Program, Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, MD, United States
| | - Belinda M. Jackson-Thompson
- Department of Microbiology and Immunology, Uniformed Services University of the Health Sciences, Bethesda, MD, United States
- The Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc., Bethesda, MD, United States
| | - Monique Hollis-Perry
- Clinical Trials Center, Infectious Diseases Directorate, Naval Medical Research Center, Silver Spring, MD, United States
| | - Gregory Wang
- Clinical Trials Center, Infectious Diseases Directorate, Naval Medical Research Center, Silver Spring, MD, United States
- General Dynamics Information Technology, Falls Church, VA, United States
| | - Yolanda Alcorta
- Clinical Trials Center, Infectious Diseases Directorate, Naval Medical Research Center, Silver Spring, MD, United States
- General Dynamics Information Technology, Falls Church, VA, United States
| | - Mimi A. Wong
- Clinical Trials Center, Infectious Diseases Directorate, Naval Medical Research Center, Silver Spring, MD, United States
- General Dynamics Information Technology, Falls Church, VA, United States
| | - David Saunders
- Translational Medicine Unit, Department of Medicine, Uniformed Services University of the Health Sciences, Bethesda, MD, United States
| | - Roshila Mohammed
- The Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc., Bethesda, MD, United States
- Infectious Disease Clinical Research Program, Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, MD, United States
| | - Bolatito Balogun
- The Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc., Bethesda, MD, United States
- Infectious Disease Clinical Research Program, Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, MD, United States
| | - Priscilla Kobi
- The Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc., Bethesda, MD, United States
- Infectious Disease Clinical Research Program, Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, MD, United States
| | - Lakeesha Kosh
- The Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc., Bethesda, MD, United States
- Infectious Disease Clinical Research Program, Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, MD, United States
| | - Kimberly Bishop-Lilly
- Biological Defense Research Directorate, Naval Medical Research Command, Fort Detrick, MD, United States
| | - Regina Z. Cer
- Biological Defense Research Directorate, Naval Medical Research Command, Fort Detrick, MD, United States
| | - Catherine E. Arnold
- Biological Defense Research Directorate, Naval Medical Research Command, Fort Detrick, MD, United States
- Defense Threat Reduction Agency, Fort Belvoir, VA, United States
| | - Logan J. Voegtly
- Biological Defense Research Directorate, Naval Medical Research Command, Fort Detrick, MD, United States
- Leidos, Reston, VA, United States
| | - Maren Fitzpatrick
- Biological Defense Research Directorate, Naval Medical Research Command, Fort Detrick, MD, United States
- Leidos, Reston, VA, United States
| | - Andrea E. Luquette
- Biological Defense Research Directorate, Naval Medical Research Command, Fort Detrick, MD, United States
- Leidos, Reston, VA, United States
| | - Francisco Malagon
- Biological Defense Research Directorate, Naval Medical Research Command, Fort Detrick, MD, United States
- Leidos, Reston, VA, United States
| | - Orlando Ortega
- The Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc., Bethesda, MD, United States
- Infectious Disease Clinical Research Program, Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, MD, United States
| | - Edward Parmelee
- The Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc., Bethesda, MD, United States
- Infectious Disease Clinical Research Program, Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, MD, United States
| | - Julian Davies
- The Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc., Bethesda, MD, United States
- Infectious Disease Clinical Research Program, Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, MD, United States
| | - Alyssa R. Lindrose
- Department of Microbiology and Immunology, Uniformed Services University of the Health Sciences, Bethesda, MD, United States
- The Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc., Bethesda, MD, United States
| | - Hannah Haines-Hull
- Department of Microbiology and Immunology, Uniformed Services University of the Health Sciences, Bethesda, MD, United States
- The Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc., Bethesda, MD, United States
| | - Matthew S. Moser
- Department of Microbiology and Immunology, Uniformed Services University of the Health Sciences, Bethesda, MD, United States
- The Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc., Bethesda, MD, United States
| | - Emily C. Samuels
- Department of Microbiology and Immunology, Uniformed Services University of the Health Sciences, Bethesda, MD, United States
- The Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc., Bethesda, MD, United States
| | - Marana S. Rekedal
- Department of Microbiology and Immunology, Uniformed Services University of the Health Sciences, Bethesda, MD, United States
- The Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc., Bethesda, MD, United States
| | - Elizabeth K. Graydon
- Department of Microbiology and Immunology, Uniformed Services University of the Health Sciences, Bethesda, MD, United States
- The Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc., Bethesda, MD, United States
| | - Allison M. W. Malloy
- Department of Pediatrics, Uniformed Services University of the Health Sciences, Bethesda, MD, United States
| | - David R. Tribble
- Infectious Disease Clinical Research Program, Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, MD, United States
| | - Timothy H. Burgess
- Infectious Disease Clinical Research Program, Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, MD, United States
| | - Wesley Campbell
- Division of Infectious Diseases, Walter Reed National Military Medical Center, Bethesda, MD, United States
| | - Sara Robinson
- Division of Infectious Diseases, Walter Reed National Military Medical Center, Bethesda, MD, United States
| | - Christopher C. Broder
- Department of Microbiology and Immunology, Uniformed Services University of the Health Sciences, Bethesda, MD, United States
| | - Robert J. O’Connell
- Infectious Disease Clinical Research Program, Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, MD, United States
| | - Carol D. Weiss
- Division of Viral Products, Office of Vaccine Research and Review, Center for Biologics Evaluation and Research, U.S. Food and Drug Administration, Silver Spring, MD, United States
| | - Simon Pollett
- The Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc., Bethesda, MD, United States
- Infectious Disease Clinical Research Program, Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, MD, United States
| | - Eric D. Laing
- Department of Microbiology and Immunology, Uniformed Services University of the Health Sciences, Bethesda, MD, United States
| | - Edward Mitre
- Department of Microbiology and Immunology, Uniformed Services University of the Health Sciences, Bethesda, MD, United States
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Liu T, Reiser WK, Tan TJC, Lv H, Rivera-Cardona J, Heimburger K, Wu NC, Brooke CB. Natural variation in neuraminidase activity influences the evolutionary potential of the seasonal H1N1 lineage hemagglutinin. bioRxiv 2024:2024.03.18.585603. [PMID: 38562808 PMCID: PMC10983940 DOI: 10.1101/2024.03.18.585603] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/04/2024]
Abstract
The antigenic evolution of the influenza A virus hemagglutinin (HA) gene poses a major challenge for the development of vaccines capable of eliciting long-term protection. Prior efforts to understand the mechanisms that govern viral antigenic evolution mainly focus on HA in isolation, ignoring the fact that HA must act in concert with the viral neuraminidase (NA) during replication and spread. Numerous studies have demonstrated that the degree to which the receptor binding avidity of HA and receptor cleaving activity of NA are balanced with each other influences overall viral fitness. We recently showed that changes in NA activity can significantly alter the mutational fitness landscape of HA in the context of a lab-adapted virus strain. Here, we test whether natural variation in relative NA activity can influence the evolutionary potential of HA in the context of the seasonal H1N1 lineage (pdmH1N1) that has circulated in humans since the 2009 pandemic. We observed substantial variation in the relative activities of NA proteins encoded by a panel of H1N1 vaccine strains isolated between 2009 and 2019. We comprehensively assessed the effect of NA background on the HA mutational fitness landscape in the circulating pdmH1N1 lineage using deep mutational scanning and observed pronounced epistasis between NA and residues in or near the receptor binding site of HA. To determine whether NA variation could influence the antigenic evolution of HA, we performed neutralizing antibody selection experiments using a panel of monoclonal antibodies targeting different HA epitopes. We found that the specific antibody escape profiles of HA were highly contingent upon NA background. Overall, our results indicate that natural variation in NA activity plays a significant role in governing the evolutionary potential of HA in the currently circulating pdmH1N1 lineage.
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Marques AD, Graham-Wooten J, Fitzgerald AS, Sobel Leonard A, Cook EJ, Everett JK, Rodino KG, Moncla LH, Kelly BJ, Collman RG, Bushman FD. SARS-CoV-2 evolution during prolonged infection in immunocompromised patients. mBio 2024; 15:e0011024. [PMID: 38364100 PMCID: PMC10936176 DOI: 10.1128/mbio.00110-24] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2024] [Accepted: 01/25/2024] [Indexed: 02/18/2024] Open
Abstract
Prolonged infection with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in immunocompromised patients provides an opportunity for viral evolution, potentially leading to the generation of new pathogenic variants. To investigate the pathways of viral evolution, we carried out a study on five patients experiencing prolonged SARS-CoV-2 infection (quantitative polymerase chain reaction-positive for 79-203 days) who were immunocompromised due to treatment for lymphoma or solid organ transplantation. For each timepoint analyzed, we generated at least two independent viral genome sequences to assess the heterogeneity and control for sequencing error. Four of the five patients likely had prolonged infection; the fifth apparently experienced a reinfection. The rates of accumulation of substitutions in the viral genome per day were higher in hospitalized patients with prolonged infection than those estimated for the community background. The spike coding region accumulated a significantly greater number of unique mutations than other viral coding regions, and the mutation density was higher. Two patients were treated with monoclonal antibodies (bebtelovimab and sotrovimab); by the next sampled timepoint, each virus population showed substitutions associated with monoclonal antibody resistance as the dominant forms (spike K444N and spike E340D). All patients received remdesivir, but remdesivir-resistant substitutions were not detected. These data thus help elucidate the trends of emergence, evolution, and selection of mutational variants within long-term infected immunocompromised individuals. IMPORTANCE SARS-CoV-2 is responsible for a global pandemic, driven in part by the emergence of new viral variants. Where do these new variants come from? One model is that long-term viral persistence in infected individuals allows for viral evolution in response to host pressures, resulting in viruses more likely to replicate efficiently in humans. In this study, we characterize replication in several hospitalized and long-term infected individuals, documenting efficient pathways of viral evolution.
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Affiliation(s)
- Andrew D. Marques
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Jevon Graham-Wooten
- Division of Pulmonary, Allergy, and Critical Care, Philadelphia, Pennsylvania, USA
| | | | - Ashley Sobel Leonard
- Division of Infectious Diseases, Children’s Hospital of Philadelphia, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Emma J. Cook
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - John K. Everett
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Kyle G. Rodino
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Louise H. Moncla
- Department of Pathobiology, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Brendan J. Kelly
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Ronald G. Collman
- Division of Pulmonary, Allergy, and Critical Care, Philadelphia, Pennsylvania, USA
| | - Frederic D. Bushman
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
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29
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Emanuels A, Casto AM, Heimonen J, O'Hanlon J, Chow EJ, Ogokeh C, Rolfes MA, Han PD, Hughes JP, Uyeki TM, Frazar C, Chung E, Starita LM, Englund JA, Chu HY. Remote surveillance and detection of SARS-CoV-2 transmission among household members in King County, Washington. BMC Infect Dis 2024; 24:309. [PMID: 38481147 PMCID: PMC10936024 DOI: 10.1186/s12879-024-09160-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2022] [Accepted: 02/21/2024] [Indexed: 03/17/2024] Open
Abstract
BACKGROUND Early during the COVID-19 pandemic, it was important to better understand transmission dynamics of SARS-CoV-2, the virus that causes COVID-19. Household contacts of infected individuals are particularly at risk for infection, but delays in contact tracing, delays in testing contacts, and isolation and quarantine posed challenges to accurately capturing secondary household cases. METHODS In this study, 346 households in the Seattle region were provided with respiratory specimen collection kits and remotely monitored using web-based surveys for respiratory illness symptoms weekly between October 1, 2020, and June 20, 2021. Symptomatic participants collected respiratory specimens at symptom onset and mailed specimens to the central laboratory in Seattle. Specimens were tested for SARS-CoV-2 using RT-PCR with whole genome sequencing attempted when positive. SARS-CoV-2-infected individuals were notified, and their household contacts submitted specimens every 2 days for 14 days. RESULTS In total, 1371 participants collected 2029 specimens that were tested; 16 individuals (1.2%) within 6 households tested positive for SARS-CoV-2 during the study period. Full genome sequences were generated from 11 individuals within 4 households. Very little genetic variation was found among SARS-CoV-2 viruses sequenced from different individuals in the same household, supporting transmission within the household. CONCLUSIONS This study indicates web-based surveillance of respiratory symptoms, combined with rapid and longitudinal specimen collection and remote contact tracing, provides a viable strategy to monitor households and detect household transmission of SARS-CoV-2. TRIAL REGISTRATION IDENTIFIER NCT04141930, Date of registration 28/10/2019.
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Affiliation(s)
- Anne Emanuels
- Division of Allergy and Infectious Diseases, Department of Medicine, University of Washington, UW Medicine Box 358061, Chu Lab Room E630, 750 Republican Street, Seattle, WA, 98109, USA
| | - Amanda M Casto
- Division of Allergy and Infectious Diseases, Department of Medicine, University of Washington, UW Medicine Box 358061, Chu Lab Room E630, 750 Republican Street, Seattle, WA, 98109, USA
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
| | - Jessica Heimonen
- Division of Allergy and Infectious Diseases, Department of Medicine, University of Washington, UW Medicine Box 358061, Chu Lab Room E630, 750 Republican Street, Seattle, WA, 98109, USA
| | - Jessica O'Hanlon
- Division of Allergy and Infectious Diseases, Department of Medicine, University of Washington, UW Medicine Box 358061, Chu Lab Room E630, 750 Republican Street, Seattle, WA, 98109, USA
| | - Eric J Chow
- Division of Allergy and Infectious Diseases, Department of Medicine, University of Washington, UW Medicine Box 358061, Chu Lab Room E630, 750 Republican Street, Seattle, WA, 98109, USA
| | - Constance Ogokeh
- Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Melissa A Rolfes
- Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Peter D Han
- Brotman Baty Institute for Precision Medicine, Seattle, Washington, USA
- Department of Genome Sciences, University of Washington, Seattle, Washington, USA
| | - James P Hughes
- Department of Biostatistics, University of Washington, Seattle, Washington, USA
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
| | - Timothy M Uyeki
- Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Christian Frazar
- Department of Genome Sciences, University of Washington, Seattle, Washington, USA
| | - Erin Chung
- Division of Allergy and Infectious Diseases, Department of Medicine, University of Washington, UW Medicine Box 358061, Chu Lab Room E630, 750 Republican Street, Seattle, WA, 98109, USA
| | - Lea M Starita
- Brotman Baty Institute for Precision Medicine, Seattle, Washington, USA
- Department of Genome Sciences, University of Washington, Seattle, Washington, USA
| | - Janet A Englund
- Seattle Children's Research Institute, Seattle, Washington, USA
| | - Helen Y Chu
- Division of Allergy and Infectious Diseases, Department of Medicine, University of Washington, UW Medicine Box 358061, Chu Lab Room E630, 750 Republican Street, Seattle, WA, 98109, USA.
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30
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Yadav S, Boora A, Thomas P, Kaliappan A, Verma N, Devi P, Dhaka N, Khurana S, Kumar A, Balhara S, Balhara A, Lailer PC. Genome sequence of bubaline herpesvirus-1 associated with pustular vulvovaginitis in Indian water buffalo. Microbiol Resour Announc 2024; 13:e0088923. [PMID: 38376342 DOI: 10.1128/mra.00889-23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2023] [Accepted: 01/05/2024] [Indexed: 02/21/2024] Open
Abstract
We report here the genome sequence of a bubaline herpesvirus 1 isolated from Indian water buffalo. The bubaline herpesvirus 1 strain S102_1 was isolated in 2021 from a Murrah buffalo heifer with clinical presentation of pustular vulvovaginitis.
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Affiliation(s)
- Sarita Yadav
- ICAR-Central Institute for Research on Buffaloes, Hisar, Haryana, India
| | - Ashok Boora
- ICAR-Central Institute for Research on Buffaloes, Hisar, Haryana, India
| | - Prasad Thomas
- ICAR-Indian Veterinary Research Institute, Bareilly, Uttar Pradesh, India
| | - Abinaya Kaliappan
- ICAR-Indian Veterinary Research Institute, Bareilly, Uttar Pradesh, India
| | - Nisha Verma
- ICAR-Central Institute for Research on Buffaloes, Hisar, Haryana, India
| | - Parvina Devi
- ICAR-Central Institute for Research on Buffaloes, Hisar, Haryana, India
| | - Nishu Dhaka
- ICAR-Central Institute for Research on Buffaloes, Hisar, Haryana, India
| | - Sandip Khurana
- ICAR-Central Institute for Research on Buffaloes, Hisar, Haryana, India
| | - Anil Kumar
- Indian Council of Agricultural Research, New Delhi, India
| | - Sunesh Balhara
- ICAR-Central Institute for Research on Buffaloes, Hisar, Haryana, India
| | - Ashok Balhara
- ICAR-Central Institute for Research on Buffaloes, Hisar, Haryana, India
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31
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Connor R, Shakya M, Yarmosh DA, Maier W, Martin R, Bradford R, Brister JR, Chain PSG, Copeland CA, di Iulio J, Hu B, Ebert P, Gunti J, Jin Y, Katz KS, Kochergin A, LaRosa T, Li J, Li PE, Lo CC, Rashid S, Maiorova ES, Xiao C, Zalunin V, Purcell L, Pruitt KD. Recommendations for Uniform Variant Calling of SARS-CoV-2 Genome Sequence across Bioinformatic Workflows. Viruses 2024; 16:430. [PMID: 38543795 PMCID: PMC10975397 DOI: 10.3390/v16030430] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2023] [Revised: 02/12/2024] [Accepted: 02/16/2024] [Indexed: 04/01/2024] Open
Abstract
Genomic sequencing of clinical samples to identify emerging variants of SARS-CoV-2 has been a key public health tool for curbing the spread of the virus. As a result, an unprecedented number of SARS-CoV-2 genomes were sequenced during the COVID-19 pandemic, which allowed for rapid identification of genetic variants, enabling the timely design and testing of therapies and deployment of new vaccine formulations to combat the new variants. However, despite the technological advances of deep sequencing, the analysis of the raw sequence data generated globally is neither standardized nor consistent, leading to vastly disparate sequences that may impact identification of variants. Here, we show that for both Illumina and Oxford Nanopore sequencing platforms, downstream bioinformatic protocols used by industry, government, and academic groups resulted in different virus sequences from same sample. These bioinformatic workflows produced consensus genomes with differences in single nucleotide polymorphisms, inclusion and exclusion of insertions, and/or deletions, despite using the same raw sequence as input datasets. Here, we compared and characterized such discrepancies and propose a specific suite of parameters and protocols that should be adopted across the field. Consistent results from bioinformatic workflows are fundamental to SARS-CoV-2 and future pathogen surveillance efforts, including pandemic preparation, to allow for a data-driven and timely public health response.
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Affiliation(s)
- Ryan Connor
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD 20894, USA; (R.C.); (J.R.B.); (J.G.); (Y.J.); (K.S.K.); (A.K.); (C.X.); (V.Z.)
| | - Migun Shakya
- Bioscience Division, Los Alamos National Laboratory, Los Alamos, NM 87545, USA; (M.S.); (P.S.G.C.); (B.H.); (P.-E.L.); (C.-C.L.)
| | - David A. Yarmosh
- American Type Culture Collection, Manassas, VA 20110, USA; (D.A.Y.); (R.B.); (S.R.)
- BEI Resources, Manassas, VA 20110, USA
| | - Wolfgang Maier
- Galaxy Europe Team, University of Freiburg, 79085 Freiburg, Germany;
| | - Ross Martin
- Clinical Virology Department, Gilead Sciences, Foster City, CA 94404, USA; (R.M.); (J.L.); (E.S.M.)
| | - Rebecca Bradford
- American Type Culture Collection, Manassas, VA 20110, USA; (D.A.Y.); (R.B.); (S.R.)
- BEI Resources, Manassas, VA 20110, USA
| | - J. Rodney Brister
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD 20894, USA; (R.C.); (J.R.B.); (J.G.); (Y.J.); (K.S.K.); (A.K.); (C.X.); (V.Z.)
| | - Patrick S. G. Chain
- Bioscience Division, Los Alamos National Laboratory, Los Alamos, NM 87545, USA; (M.S.); (P.S.G.C.); (B.H.); (P.-E.L.); (C.-C.L.)
| | | | - Julia di Iulio
- Vir Biotechnology Inc., San Francisco, CA 94158, USA; (J.d.I.); (L.P.)
| | - Bin Hu
- Bioscience Division, Los Alamos National Laboratory, Los Alamos, NM 87545, USA; (M.S.); (P.S.G.C.); (B.H.); (P.-E.L.); (C.-C.L.)
| | - Philip Ebert
- Eli Lilly and Company, Indianapolis, IN 46225, USA;
| | - Jonathan Gunti
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD 20894, USA; (R.C.); (J.R.B.); (J.G.); (Y.J.); (K.S.K.); (A.K.); (C.X.); (V.Z.)
| | - Yumi Jin
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD 20894, USA; (R.C.); (J.R.B.); (J.G.); (Y.J.); (K.S.K.); (A.K.); (C.X.); (V.Z.)
| | - Kenneth S. Katz
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD 20894, USA; (R.C.); (J.R.B.); (J.G.); (Y.J.); (K.S.K.); (A.K.); (C.X.); (V.Z.)
| | - Andrey Kochergin
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD 20894, USA; (R.C.); (J.R.B.); (J.G.); (Y.J.); (K.S.K.); (A.K.); (C.X.); (V.Z.)
| | - Tré LaRosa
- Deloitte Consulting LLP, Rosslyn, VA 22209, USA; (C.A.C.); (T.L.)
| | - Jiani Li
- Clinical Virology Department, Gilead Sciences, Foster City, CA 94404, USA; (R.M.); (J.L.); (E.S.M.)
| | - Po-E Li
- Bioscience Division, Los Alamos National Laboratory, Los Alamos, NM 87545, USA; (M.S.); (P.S.G.C.); (B.H.); (P.-E.L.); (C.-C.L.)
| | - Chien-Chi Lo
- Bioscience Division, Los Alamos National Laboratory, Los Alamos, NM 87545, USA; (M.S.); (P.S.G.C.); (B.H.); (P.-E.L.); (C.-C.L.)
| | - Sujatha Rashid
- American Type Culture Collection, Manassas, VA 20110, USA; (D.A.Y.); (R.B.); (S.R.)
| | - Evguenia S. Maiorova
- Clinical Virology Department, Gilead Sciences, Foster City, CA 94404, USA; (R.M.); (J.L.); (E.S.M.)
| | - Chunlin Xiao
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD 20894, USA; (R.C.); (J.R.B.); (J.G.); (Y.J.); (K.S.K.); (A.K.); (C.X.); (V.Z.)
| | - Vadim Zalunin
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD 20894, USA; (R.C.); (J.R.B.); (J.G.); (Y.J.); (K.S.K.); (A.K.); (C.X.); (V.Z.)
| | - Lisa Purcell
- Vir Biotechnology Inc., San Francisco, CA 94158, USA; (J.d.I.); (L.P.)
| | - Kim D. Pruitt
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD 20894, USA; (R.C.); (J.R.B.); (J.G.); (Y.J.); (K.S.K.); (A.K.); (C.X.); (V.Z.)
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32
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Álvarez-Herrera M, Sevilla J, Ruiz-Rodriguez P, Vergara A, Vila J, Cano-Jiménez P, González-Candelas F, Comas I, Coscollá M. VIPERA: Viral Intra-Patient Evolution Reporting and Analysis. Virus Evol 2024; 10:veae018. [PMID: 38510921 PMCID: PMC10953798 DOI: 10.1093/ve/veae018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2023] [Revised: 02/02/2024] [Accepted: 03/05/2024] [Indexed: 03/22/2024] Open
Abstract
Viral mutations within patients nurture the adaptive potential of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) during chronic infections, which are a potential source of variants of concern. However, there is no integrated framework for the evolutionary analysis of intra-patient SARS-CoV-2 serial samples. Herein, we describe Viral Intra-Patient Evolution Reporting and Analysis (VIPERA), a new software that integrates the evaluation of the intra-patient ancestry of SARS-CoV-2 sequences with the analysis of evolutionary trajectories of serial sequences from the same viral infection. We have validated it using positive and negative control datasets and have successfully applied it to a new case, which revealed population dynamics and evidence of adaptive evolution. VIPERA is available under a free software license at https://github.com/PathoGenOmics-Lab/VIPERA.
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Affiliation(s)
- Miguel Álvarez-Herrera
- Institute for Integrative Systems Biology (I2SysBio, University of Valencia—CSIC), FISABIO Joint Research Unit ‘Infection and Public Health’, C/Agustín Escardino, 9, Paterna 46980, Spain
| | - Jordi Sevilla
- Institute for Integrative Systems Biology (I2SysBio, University of Valencia—CSIC), FISABIO Joint Research Unit ‘Infection and Public Health’, C/Agustín Escardino, 9, Paterna 46980, Spain
| | - Paula Ruiz-Rodriguez
- Institute for Integrative Systems Biology (I2SysBio, University of Valencia—CSIC), FISABIO Joint Research Unit ‘Infection and Public Health’, C/Agustín Escardino, 9, Paterna 46980, Spain
| | - Andrea Vergara
- Department of Clinical Microbiology, CDB, Hospital Clínic of Barcelona; University of Barcelona; ISGlobal, C. de Villarroel, 170, Barcelona 08007, Spain
- CIBER of Infectious Diseases (CIBERINFEC), Av. Monforte de Lemos, 3-5, Madrid 28029, Spain
| | - Jordi Vila
- Department of Clinical Microbiology, CDB, Hospital Clínic of Barcelona; University of Barcelona; ISGlobal, C. de Villarroel, 170, Barcelona 08007, Spain
- CIBER of Infectious Diseases (CIBERINFEC), Av. Monforte de Lemos, 3-5, Madrid 28029, Spain
| | - Pablo Cano-Jiménez
- Institute of Biomedicine of Valencia (IBV-CSIC), C/ Jaime Roig, 11, Valencia 46010, Spain
| | - Fernando González-Candelas
- Institute for Integrative Systems Biology (I2SysBio, University of Valencia—CSIC), FISABIO Joint Research Unit ‘Infection and Public Health’, C/Agustín Escardino, 9, Paterna 46980, Spain
- CIBER of Epidemiology and Public Health (CIBERESP), Av. Monforte de Lemos, 3-5, Madrid 28029, Spain
| | - Iñaki Comas
- Institute of Biomedicine of Valencia (IBV-CSIC), C/ Jaime Roig, 11, Valencia 46010, Spain
- CIBER of Epidemiology and Public Health (CIBERESP), Av. Monforte de Lemos, 3-5, Madrid 28029, Spain
| | - Mireia Coscollá
- Institute for Integrative Systems Biology (I2SysBio, University of Valencia—CSIC), FISABIO Joint Research Unit ‘Infection and Public Health’, C/Agustín Escardino, 9, Paterna 46980, Spain
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Bessière P, Gaide N, Croville G, Crispo M, Fusade-Boyer M, Abou Monsef Y, Dirat M, Beltrame M, Dendauw P, Lemberger K, Guérin JL, Le Loc'h G. High pathogenicity avian influenza A (H5N1) clade 2.3.4.4b virus infection in a captive Tibetan black bear ( Ursus thibetanus): investigations based on paraffin-embedded tissues, France, 2022. Microbiol Spectr 2024; 12:e0373623. [PMID: 38305177 PMCID: PMC10913436 DOI: 10.1128/spectrum.03736-23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2023] [Accepted: 01/09/2024] [Indexed: 02/03/2024] Open
Abstract
High pathogenicity avian influenza viruses (HPAIVs) H5Nx of clade 2.3.4.4b have been circulating increasingly in both wild and domestic birds in recent years. In turn, this has led to an increase in the number of spillover events affecting mammals. In November 2022, an HPAIV H5N1 caused an outbreak in a zoological park in the south of France, resulting in the death of a Tibetan black bear (Ursus thibetanus) and several captive and wild bird species. We detected the virus in various tissues of the bear and a wild black-headed gull (Chroicocephalus ridibundus) found dead in its enclosure using histopathology, two different in situ detection techniques, and next-generation sequencing, all performed on formalin-fixed paraffin-embedded tissues. Phylogenetic analysis performed on the hemagglutinin gene segment showed that bear and gull strains shared 99.998% genetic identity, making the bird strain the closest related strain. We detected the PB2 E627K mutation in minute quantities in the gull, whereas it predominated in the bear, which suggests that this mammalian adaptation marker was selected during the bear infection. Our results provide the first molecular and histopathological characterization of an H5N1 virus infection in this bear species. IMPORTANCE Avian influenza viruses are able to cross the species barrier between birds and mammals because of their high genetic diversity and mutation rate. Using formalin-fixed paraffin-embedded tissues, we were able to investigate a Tibetan black bear's infection by a high pathogenicity H5N1 avian influenza virus at the molecular, phylogenetic, and histological levels. Our results highlight the importance of virological surveillance programs in mammals and the importance of raising awareness among veterinarians and zookeepers of the clinical presentations associated with H5Nx virus infection in mammals.
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Affiliation(s)
| | - Nicolas Gaide
- IHAP, Université de Toulouse, INRAE, ENVT, Toulouse, France
| | | | - Manuela Crispo
- IHAP, Université de Toulouse, INRAE, ENVT, Toulouse, France
| | | | | | - Malorie Dirat
- IHAP, Université de Toulouse, INRAE, ENVT, Toulouse, France
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Lv JX, Liu X, Pei YY, Song ZG, Chen X, Hu SJ, She JL, Liu Y, Chen YM, Zhang YZ. Evolutionary trajectory of diverse SARS-CoV-2 variants at the beginning of COVID-19 outbreak. Virus Evol 2024; 10:veae020. [PMID: 38562953 PMCID: PMC10984623 DOI: 10.1093/ve/veae020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2023] [Revised: 01/24/2024] [Accepted: 02/29/2024] [Indexed: 04/04/2024] Open
Abstract
Despite extensive scientific efforts directed toward the evolutionary trajectory of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in humans at the beginning of the COVID-19 epidemic, it remains unclear how the virus jumped into and evolved in humans so far. Herein, we recruited almost all adult coronavirus disease 2019 (COVID-19) cases appeared locally or imported from abroad during the first 8 months of the outbreak in Shanghai. From these patients, SARS-CoV-2 genomes occupying the important phylogenetic positions in the virus phylogeny were recovered. Phylogenetic and mutational landscape analyses of viral genomes recovered here and those collected in and outside of China revealed that all known SARS-CoV-2 variants exhibited the evolutionary continuity despite the co-circulation of multiple lineages during the early period of the epidemic. Various mutations have driven the rapid SARS-CoV-2 diversification, and some of them favor its better adaptation and circulation in humans, which may have determined the waxing and waning of various lineages.
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Affiliation(s)
- Jia-Xin Lv
- State Key Laboratory of Genetic Engineering, Greater Bay Area Institute of Precision Medicine (Guangzhou), School of Life Sciences and Human Phenome Institute, Fudan University, No. 2005 Songhu Road, Yangpu District, Shanghai 200438, China
| | - Xiang Liu
- State Key Laboratory of Genetic Engineering, Greater Bay Area Institute of Precision Medicine (Guangzhou), School of Life Sciences and Human Phenome Institute, Fudan University, No. 2005 Songhu Road, Yangpu District, Shanghai 200438, China
| | - Yuan-Yuan Pei
- State Key Laboratory of Genetic Engineering, Greater Bay Area Institute of Precision Medicine (Guangzhou), School of Life Sciences and Human Phenome Institute, Fudan University, No. 2005 Songhu Road, Yangpu District, Shanghai 200438, China
- Shanghai Public Health Clinical Center, No. 2901 Canglang Road, Jinshan District, Shanghai 210508, China
| | - Zhi-Gang Song
- State Key Laboratory of Genetic Engineering, Greater Bay Area Institute of Precision Medicine (Guangzhou), School of Life Sciences and Human Phenome Institute, Fudan University, No. 2005 Songhu Road, Yangpu District, Shanghai 200438, China
- Shanghai Public Health Clinical Center, No. 2901 Canglang Road, Jinshan District, Shanghai 210508, China
| | - Xiao Chen
- College of Marine Sciences, South China Agricultural University, No. 483 Wushan Road, Tianhe District, Guangzhou, Guangdong 510642, China
| | - Shu-Jian Hu
- State Key Laboratory of Genetic Engineering, Greater Bay Area Institute of Precision Medicine (Guangzhou), School of Life Sciences and Human Phenome Institute, Fudan University, No. 2005 Songhu Road, Yangpu District, Shanghai 200438, China
| | - Jia-Lei She
- Shanghai Public Health Clinical Center, No. 2901 Canglang Road, Jinshan District, Shanghai 210508, China
| | - Yi Liu
- Shanghai Public Health Clinical Center, No. 2901 Canglang Road, Jinshan District, Shanghai 210508, China
| | - Yan-Mei Chen
- State Key Laboratory of Genetic Engineering, Greater Bay Area Institute of Precision Medicine (Guangzhou), School of Life Sciences and Human Phenome Institute, Fudan University, No. 2005 Songhu Road, Yangpu District, Shanghai 200438, China
| | - Yong-Zhen Zhang
- State Key Laboratory of Genetic Engineering, Greater Bay Area Institute of Precision Medicine (Guangzhou), School of Life Sciences and Human Phenome Institute, Fudan University, No. 2005 Songhu Road, Yangpu District, Shanghai 200438, China
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Li L, Fu H, Ma W, Li M. PySNV for complex intra-host variation detection. Bioinformatics 2024; 40:btae116. [PMID: 38426352 PMCID: PMC10937218 DOI: 10.1093/bioinformatics/btae116] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2023] [Revised: 02/19/2024] [Accepted: 02/27/2024] [Indexed: 03/02/2024] Open
Abstract
MOTIVATION Intra-host variants refer to genetic variations or mutations that occur within an individual host organism. These variants are typically studied in the context of viruses, bacteria, or other pathogens to understand the evolution of pathogens. Moreover, intra-host variants are also explored in the field of tumor biology and mitochondrial biology to characterize somatic mutations and inherited heteroplasmic mutations. Intra-host variants can involve long insertions, deletions, and combinations of different mutation types, which poses challenges in their identification. The performance of current methods in detecting of complex intra-host variants is unknown. RESULTS First, we simulated a dataset comprising 10 samples with 1869 intra-host variants involving various mutation patterns and benchmarked current variant detection software. The results indicated that though current software can detect most variants with F1-scores between 0.76 and 0.97, their performance in detecting long indels and low frequency variants was limited. Thus, we developed a new software, PySNV, for the detection of complex intra-host variations. On the simulated dataset, PySNV successfully detected 1863 variant cases (F1-score: 0.99) and exhibited the highest Pearson correlation coefficient (PCC: 0.99) to the ground truth in predicting variant frequencies. The results demonstrated that PySNV delivered promising performance even for long indels and low frequency variants, while maintaining computational speed comparable to other methods. Finally, we tested its performance on SARS-CoV-2 replicate sequencing data and found that it reported 21% more variants compared to LoFreq, the best-performing benchmarked software, while showing higher consistency (62% over 54%) within replicates. The discrepancies mostly exist in low-depth regions and low frequency variants. AVAILABILITY AND IMPLEMENTATION https://github.com/bnuLyndon/PySNV/.
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Affiliation(s)
- Liandong Li
- Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, and China National Center for Bioinformation, Beijing 100101, China
| | - Haoyi Fu
- Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, and China National Center for Bioinformation, Beijing 100101, China
- University of Chinese Academy of Sciences, Beijing 100101, China
| | - Wentai Ma
- Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, and China National Center for Bioinformation, Beijing 100101, China
- University of Chinese Academy of Sciences, Beijing 100101, China
| | - Mingkun Li
- Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, and China National Center for Bioinformation, Beijing 100101, China
- University of Chinese Academy of Sciences, Beijing 100101, China
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Adamopoulos PG, Diamantopoulos MA, Boti MA, Zafeiriadou A, Galani A, Kostakis M, Markou A, Sideris DC, Avgeris M, Thomaidis NS, Scorilas A. Spike-Seq: An amplicon-based high-throughput sequencing approach for the sensitive detection and characterization of SARS-CoV-2 genetic variations in environmental samples. Sci Total Environ 2024; 914:169747. [PMID: 38159750 DOI: 10.1016/j.scitotenv.2023.169747] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/28/2023] [Revised: 12/05/2023] [Accepted: 12/26/2023] [Indexed: 01/03/2024]
Abstract
Ever since the outbreak of COVID-19 disease in Wuhan, China, different variants of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) have been identified. Wastewater-based epidemiology (WBE), an approach that has been successfully applied in numerous case studies worldwide, offers a cost-effective and rapid way for monitoring trends of SARS-Cov-2 in the community level without selection bias. Despite being a gold-standard procedure, WBE is a challenging approach due to the sample instability and the moderate efficiency of SARS-CoV-2 concentration in wastewater. In the present study, we introduce Spike-Seq, a custom amplicon-based approach for the S gene sequencing of SARS-CoV-2 in wastewater samples, which enables not only the accurate identification of the existing Spike-related genetic markers, but also the estimation of their frequency in the investigated samples. The implementation of Spike-Seq involves the combination of nested PCR-based assays that efficiently amplify the entire nucleotide sequence of the S gene and next-generation sequencing, which enables the variant detection and the estimation of their frequency. In the framework of the current work, Spike-Seq was performed to investigate the mutational profile of SARS-CoV-2 in samples from the Wastewater Treatment Plant (WWTP) of Athens, Greece, which originated from multiple timepoints, ranging from March 2021 until July 2022. Our findings demonstrate that Spike-Seq efficiently detected major genetic markers of B.1.1.7 (Alpha), B.1.617.2 (Delta) as well as B.1.1.529 (Omicron) variants in wastewater samples and provided their frequency levels, showing similar variant distributions with the published clinical data from the National Public Health organization. The presented approach can prove to be a useful tool for the detection of SARS-CoV-2 in challenging wastewater samples and the identification of the existing genetic variants of S gene.
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Affiliation(s)
- Panagiotis G Adamopoulos
- Department of Biochemistry and Molecular Biology, Faculty of Biology, National and Kapodistrian University of Athens, Athens, Greece
| | - Marios A Diamantopoulos
- Department of Biochemistry and Molecular Biology, Faculty of Biology, National and Kapodistrian University of Athens, Athens, Greece
| | - Michaela A Boti
- Department of Biochemistry and Molecular Biology, Faculty of Biology, National and Kapodistrian University of Athens, Athens, Greece
| | - Anastasia Zafeiriadou
- Laboratory of Analytical Chemistry, Department of Chemistry, National and Kapodistrian University of Athens, Greece
| | - Aikaterini Galani
- Laboratory of Analytical Chemistry, Department of Chemistry, National and Kapodistrian University of Athens, Greece
| | - Marios Kostakis
- Laboratory of Analytical Chemistry, Department of Chemistry, National and Kapodistrian University of Athens, Greece
| | - Athina Markou
- Laboratory of Analytical Chemistry, Department of Chemistry, National and Kapodistrian University of Athens, Greece
| | - Diamantis C Sideris
- Department of Biochemistry and Molecular Biology, Faculty of Biology, National and Kapodistrian University of Athens, Athens, Greece
| | - Margaritis Avgeris
- Department of Biochemistry and Molecular Biology, Faculty of Biology, National and Kapodistrian University of Athens, Athens, Greece; Laboratory of Clinical Biochemistry and Molecular Diagnostics, Second Department of Pediatrics, Medical School, National and Kapodistrian University of Athens, Greece
| | - Nikolaos S Thomaidis
- Laboratory of Analytical Chemistry, Department of Chemistry, National and Kapodistrian University of Athens, Greece
| | - Andreas Scorilas
- Department of Biochemistry and Molecular Biology, Faculty of Biology, National and Kapodistrian University of Athens, Athens, Greece.
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García-López R, Taboada B, Zárate S, Muñoz-Medina JE, Salas-Lais AG, Herrera-Estrella A, Boukadida C, Vazquez-Perez JA, Gómez-Gil B, Sanchez-Flores A, Arias CF. Exploration of low-frequency allelic variants of SARS-CoV-2 genomes reveals coinfections in Mexico occurred during periods of VOCs turnover. Microb Genom 2024; 10:001220. [PMID: 38512312 PMCID: PMC11004493 DOI: 10.1099/mgen.0.001220] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2023] [Accepted: 03/04/2024] [Indexed: 03/22/2024] Open
Abstract
A total of 14 973 alleles in 29 661 sequenced samples collected between March 2021 and January 2023 by the Mexican Consortium for Genomic Surveillance (CoViGen-Mex) and collaborators were used to construct a thorough map of mutations of the Mexican SARS-CoV-2 genomic landscape containing Intra-Patient Minor Allelic Variants (IPMAVs), which are low-frequency alleles not ordinarily present in a genomic consensus sequence. This additional information proved critical in identifying putative coinfecting variants included alongside the most common variants, B.1.1.222, B.1.1.519, and variants of concern (VOCs) Alpha, Gamma, Delta, and Omicron. A total of 379 coinfection events were recorded in the dataset (a rate of 1.28 %), resulting in the first such catalogue in Mexico. The most common putative coinfections occurred during the spread of Delta or after the introduction of Omicron BA.2 and its descendants. Coinfections occurred constantly during periods of variant turnover when more than one variant shared the same niche and high infection rate was observed, which was dependent on the local variants and time. Coinfections might occur at a higher frequency than customarily reported, but they are often ignored as only the consensus sequence is reported for lineage identification.
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Affiliation(s)
- Rodrigo García-López
- Departamento de Genética del Desarrollo y Fisiología Molecular, Instituto de Biotecnología, Universidad Nacional Autónoma de México, Cuernavaca, Morelos, Mexico
| | - Blanca Taboada
- Departamento de Genética del Desarrollo y Fisiología Molecular, Instituto de Biotecnología, Universidad Nacional Autónoma de México, Cuernavaca, Morelos, Mexico
| | - Selene Zárate
- Posgrado en Ciencias Genómicas, Universidad Autónoma de la Ciudad de México, Mexico City, Mexico
| | - José Esteban Muñoz-Medina
- Coordinación de Calidad de Insumos y Laboratorios Especializados, Instituto Mexicano del Seguro Social, Mexico City, Mexico
| | - Angel Gustavo Salas-Lais
- Coordinación de Calidad de Insumos y Laboratorios Especializados, Instituto Mexicano del Seguro Social, Mexico City, Mexico
| | - Alfredo Herrera-Estrella
- Laboratorio Nacional de Genómica para la Biodiversidad-Unidad de Genómica Avanzada, Centro de Investigación y de Estudios Avanzados del IPN, Irapuato, Guanajuato, Mexico
| | - Celia Boukadida
- Centro de Investigación en Enfermedades Infecciosas, Instituto Nacional de Enfermedades Respiratorias Ismael Cosío Villegas, Mexico City, Mexico
| | - Joel Armando Vazquez-Perez
- Laboratorio de Biología Molecular de Enfermedades Emergentes y EPOC, Instituto Nacional de Enfermedades Respiratorias Ismael Cosío Villegas, Mexico City, Mexico
| | - Bruno Gómez-Gil
- Centro de Investigación en Alimentación y Desarrollo AC, Unidad Mazatlán, Mazatlán, Sinaloa, Mexico
| | - Alejandro Sanchez-Flores
- Unidad Universitaria de Secuenciación Masiva y Bioinformática, Instituto de Biotecnología, Universidad Nacional Autónoma de México, Cuernavaca, Morelos, Mexico
| | - Carlos F. Arias
- Departamento de Genética del Desarrollo y Fisiología Molecular, Instituto de Biotecnología, Universidad Nacional Autónoma de México, Cuernavaca, Morelos, Mexico
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Casimiro‐Soriguer CS, Perez‐Florido J, Lara M, Camacho‐Martinez P, Merino‐Diaz L, Pupo‐Ledo I, de Salazar A, Fuentes A, Viñuela L, Chueca N, Martinez‐Martinez L, Lorusso N, Lepe JA, Dopazo J, Garcia F. Molecular and phylogenetic characterization of the monkeypox outbreak in the South of Spain. Health Sci Rep 2024; 7:e1965. [PMID: 38524774 PMCID: PMC10957719 DOI: 10.1002/hsr2.1965] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2023] [Revised: 01/22/2024] [Accepted: 02/22/2024] [Indexed: 03/26/2024] Open
Abstract
Background and Aim Until the May 2022 Monkeypox (MPXV) outbreak, which spread rapidly to many non-endemic countries, the virus was considered a viral zoonosis limited to some African countries. The Andalusian circuit of genomic surveillance was rapidly applied to characterize the MPXV outbreak in the South of Spain. Methods Whole genome sequencing was used to obtain the genomic profiles of samples collected across the south of Spain, representative of all the provinces of Andalusia. Phylogenetic analysis was used to study the relationship of the isolates and the available sequences of the 2022 outbreak. Results Whole genome sequencing of a total of 160 MPXV viruses from the different provinces that reported cases were obtained. Interestingly, we report the sequences of MPXV viruses obtained from two patients who died. While one of the isolates bore no noteworthy mutations that explain a potential heightened virulence, in another patient the second consecutive genome sequence, performed after the administration of tecovirimat, uncovered a mutation within the A0A7H0DN30 gene, known to be a prime target for tecovirimat in its Vaccinia counterpart. In general, a low number of mutations were observed in the sequences reported, which were very similar to the reference of the 2022 outbreak (OX044336), as expected from a DNA virus. The samples likely correspond to several introductions of the circulating MPXV viruses from the last outbreak. The virus sequenced from one of the two patients that died presented a mutation in a gene that bears potential connections to drug resistance. This mutation was absent in the initial sequencing before treatment.
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Affiliation(s)
- Carlos S. Casimiro‐Soriguer
- Computational Medicine Platform, Andalusian Public Foundation Progress and Health‐FPSSevillaSpain
- Institute of Biomedicine of Seville, IBiS, University Hospital Virgen del Rocío/CSIC/University of SevilleSevilleSpain
| | - Javier Perez‐Florido
- Computational Medicine Platform, Andalusian Public Foundation Progress and Health‐FPSSevillaSpain
- Institute of Biomedicine of Seville, IBiS, University Hospital Virgen del Rocío/CSIC/University of SevilleSevilleSpain
| | - Maria Lara
- Computational Medicine Platform, Andalusian Public Foundation Progress and Health‐FPSSevillaSpain
| | - Pedro Camacho‐Martinez
- Servicio de Microbiología, Unidad Clínica Enfermedades Infecciosas, Microbiología y Medicina Preventiva, Hospital Universitario Virgen del RocíoSevillaSpain
| | - Laura Merino‐Diaz
- Servicio de Microbiología, Unidad Clínica Enfermedades Infecciosas, Microbiología y Medicina Preventiva, Hospital Universitario Virgen del RocíoSevillaSpain
| | - Inmaculada Pupo‐Ledo
- Servicio de Microbiología, Unidad Clínica Enfermedades Infecciosas, Microbiología y Medicina Preventiva, Hospital Universitario Virgen del RocíoSevillaSpain
| | - Adolfo de Salazar
- Centro de Investigación Biomédica en Red en Enfermedades Infecciosas (CIBERINFEC), ISCIIIMadridSpain
- Servicio de Microbiología, Hospital Universitario San CecilioGranadaSpain
- Instituto de Investigación Biosanitaria, ibs.GRANADAGranadaSpain
| | - Ana Fuentes
- Centro de Investigación Biomédica en Red en Enfermedades Infecciosas (CIBERINFEC), ISCIIIMadridSpain
- Instituto de Investigación Biosanitaria, ibs.GRANADAGranadaSpain
| | - Laura Viñuela
- Centro de Investigación Biomédica en Red en Enfermedades Infecciosas (CIBERINFEC), ISCIIIMadridSpain
- Servicio de Microbiología, Hospital Universitario San CecilioGranadaSpain
| | - Natalia Chueca
- Centro de Investigación Biomédica en Red en Enfermedades Infecciosas (CIBERINFEC), ISCIIIMadridSpain
- Instituto de Investigación Biosanitaria, ibs.GRANADAGranadaSpain
| | - Luis Martinez‐Martinez
- Centro de Investigación Biomédica en Red en Enfermedades Infecciosas (CIBERINFEC), ISCIIIMadridSpain
- Unit of Microbiology, University Hospital Reina SofiaCordobaSpain
- Departamento de Química AgrícolaEdafología y Microbiología, Universidad de CórdobaCórdobaSpain
- Instituto Maimónides de Investigación Biomédica de Córdoba (IMIBIC)CórdobaSpain
| | - Nicola Lorusso
- Dirección General de Salud Pública, Consejería de Salud y Familias, Junta de AndalucíaSevillaSpain
| | - Jose A. Lepe
- Institute of Biomedicine of Seville, IBiS, University Hospital Virgen del Rocío/CSIC/University of SevilleSevilleSpain
- Servicio de Microbiología, Unidad Clínica Enfermedades Infecciosas, Microbiología y Medicina Preventiva, Hospital Universitario Virgen del RocíoSevillaSpain
- Centro de Investigación Biomédica en Red en Enfermedades Infecciosas (CIBERINFEC), ISCIIIMadridSpain
| | - Joaquín Dopazo
- Computational Medicine Platform, Andalusian Public Foundation Progress and Health‐FPSSevillaSpain
- Institute of Biomedicine of Seville, IBiS, University Hospital Virgen del Rocío/CSIC/University of SevilleSevilleSpain
- FPS/ELIXIR‐ES, Andalusian Public Foundation Progress and Health‐FPSSevillaSpain
| | - Federico Garcia
- Centro de Investigación Biomédica en Red en Enfermedades Infecciosas (CIBERINFEC), ISCIIIMadridSpain
- Servicio de Microbiología, Hospital Universitario San CecilioGranadaSpain
- Instituto de Investigación Biosanitaria, ibs.GRANADAGranadaSpain
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Bennett JC, Luiten KG, O'Hanlon J, Han PD, McDonald D, Wright T, Wolf CR, Lo NK, Acker Z, Regelbrugge L, McCaffrey KM, Pfau B, Stone J, Schwabe-Fry K, Lockwood CM, Guthrie BL, Gottlieb GS, Englund JA, Uyeki TM, Carone M, Starita LM, Weil AA, Chu HY. Utilizing a university testing program to estimate relative effectiveness of monovalent COVID-19 mRNA booster vaccine versus two-dose primary series against symptomatic SARS-CoV-2 infection. Vaccine 2024; 42:1332-1341. [PMID: 38307746 DOI: 10.1016/j.vaccine.2024.01.080] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2023] [Revised: 01/23/2024] [Accepted: 01/24/2024] [Indexed: 02/04/2024]
Abstract
Vaccine effectiveness (VE) studies utilizing the test-negative design are typically conducted in clinical settings, rather than community populations, leading to bias in VE estimates against mild disease and limited information on VE in healthy young adults. In a community-based university population, we utilized data from a large SARS-CoV-2 testing program to estimate relative VE of COVID-19 mRNA vaccine primary series and monovalent booster dose versus primary series only against symptomatic SARS-CoV-2 infection from September 2021 to July 2022. We used the test-negative design and logistic regression implemented via generalized estimating equations adjusted for age, calendar time, prior SARS-CoV-2 infection, and testing frequency (proxy for test-seeking behavior) to estimate relative VE. Analyses included 2,218 test-positive cases (59 % received monovalent booster dose) and 9,615 test-negative controls (62 %) from 9,066 individuals, with median age of 21 years, mostly students (71 %), White (56 %) or Asian (28 %), and with few comorbidities (3 %). More cases (23 %) than controls (6 %) had COVID-19-like illness. Estimated adjusted relative VE of primary series and monovalent booster dose versus primary series only against symptomatic SARS-CoV-2 infection was 40 % (95 % CI: 33-47 %) during the overall analysis period and 46 % (39-52 %) during the period of Omicron circulation. Relative VE was greater for those without versus those with prior SARS-CoV-2 infection (41 %, 34-48 % versus 33 %, 9 %-52 %, P < 0.001). Relative VE was also greater in the six months after receiving a booster dose (41 %, 33-47 %) compared to more than six months (27 %, 8-42 %), but this difference was not statistically significant (P = 0.06). In this relatively young and healthy adult population, an mRNA monovalent booster dose provided increased protection against symptomatic SARS-CoV-2 infection, overall and with the Omicron variant. University testing programs may be utilized for estimating VE in healthy young adults, a population that is not well-represented by routine VE studies.
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Affiliation(s)
- Julia C Bennett
- Department of Medicine, University of Washington, Seattle, WA, USA; Department of Epidemiology, University of Washington, Seattle, WA, USA.
| | - Kyle G Luiten
- Department of Medicine, University of Washington, Seattle, WA, USA
| | - Jessica O'Hanlon
- Department of Medicine, University of Washington, Seattle, WA, USA
| | - Peter D Han
- Brotman Baty Institute, Seattle, WA, USA; Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - Devon McDonald
- Department of Medicine, University of Washington, Seattle, WA, USA
| | - Tessa Wright
- Department of Medicine, University of Washington, Seattle, WA, USA
| | - Caitlin R Wolf
- Department of Medicine, University of Washington, Seattle, WA, USA
| | - Natalie K Lo
- Department of Medicine, University of Washington, Seattle, WA, USA
| | - Zack Acker
- Brotman Baty Institute, Seattle, WA, USA
| | | | | | - Brian Pfau
- Brotman Baty Institute, Seattle, WA, USA
| | - Jeremey Stone
- Brotman Baty Institute, Seattle, WA, USA; Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | | | - Christina M Lockwood
- Brotman Baty Institute, Seattle, WA, USA; Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA
| | - Brandon L Guthrie
- Department of Epidemiology, University of Washington, Seattle, WA, USA; Department of Global Health, University of Washington, Seattle, WA, USA
| | - Geoffrey S Gottlieb
- Department of Medicine, University of Washington, Seattle, WA, USA; Department of Global Health, University of Washington, Seattle, WA, USA; Center for Emerging and Re-Emerging Infectious Diseases, University of Washington, Seattle, WA, USA; Environmental Health & Safety Department, University of Washington, Seattle, WA, USA
| | - Janet A Englund
- Seattle Children's Research Institute, Department of Pediatrics, University of Washington, Seattle, WA, USA
| | - Timothy M Uyeki
- Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Marco Carone
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - Lea M Starita
- Brotman Baty Institute, Seattle, WA, USA; Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - Ana A Weil
- Department of Medicine, University of Washington, Seattle, WA, USA; Department of Global Health, University of Washington, Seattle, WA, USA; Center for Emerging and Re-Emerging Infectious Diseases, University of Washington, Seattle, WA, USA
| | - Helen Y Chu
- Department of Medicine, University of Washington, Seattle, WA, USA; Department of Epidemiology, University of Washington, Seattle, WA, USA; Center for Emerging and Re-Emerging Infectious Diseases, University of Washington, Seattle, WA, USA
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Standing JF, Buggiotti L, Guerra-Assuncao JA, Woodall M, Ellis S, Agyeman AA, Miller C, Okechukwu M, Kirkpatrick E, Jacobs AI, Williams CA, Roy S, Martin-Bernal LM, Williams R, Smith CM, Sanderson T, Ashford FB, Emmanuel B, Afzal ZM, Shields A, Richter AG, Dorward J, Gbinigie O, Van Hecke O, Lown M, Francis N, Jani B, Richards DB, Rahman NM, Yu LM, Thomas NPB, Hart ND, Evans P, Andersson M, Hayward G, Hood K, Nguyen-Van-Tam JS, Little P, Hobbs FDR, Khoo S, Butler C, Lowe DM, Breuer J. Randomized controlled trial of molnupiravir SARS-CoV-2 viral and antibody response in at-risk adult outpatients. Nat Commun 2024; 15:1652. [PMID: 38396069 PMCID: PMC10891158 DOI: 10.1038/s41467-024-45641-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2023] [Accepted: 01/26/2024] [Indexed: 02/25/2024] Open
Abstract
Viral clearance, antibody response and the mutagenic effect of molnupiravir has not been elucidated in at-risk populations. Non-hospitalised participants within 5 days of SARS-CoV-2 symptoms randomised to receive molnupiravir (n = 253) or Usual Care (n = 324) were recruited to study viral and antibody dynamics and the effect of molnupiravir on viral whole genome sequence from 1437 viral genomes. Molnupiravir accelerates viral load decline, but virus is detectable by Day 5 in most cases. At Day 14 (9 days post-treatment), molnupiravir is associated with significantly higher viral persistence and significantly lower anti-SARS-CoV-2 spike antibody titres compared to Usual Care. Serial sequencing reveals increased mutagenesis with molnupiravir treatment. Persistence of detectable viral RNA at Day 14 in the molnupiravir group is associated with higher transition mutations following treatment cessation. Viral viability at Day 14 is similar in both groups with post-molnupiravir treated samples cultured up to 9 days post cessation of treatment. The current 5-day molnupiravir course is too short. Longer courses should be tested to reduce the risk of potentially transmissible molnupiravir-mutated variants being generated. Trial registration: ISRCTN30448031.
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Affiliation(s)
- Joseph F Standing
- Infection, Immunity and Inflammation, Great Ormond Street Institute of Child Health, University College London, London, UK.
- Great Ormond Street Hospital for Children NHS Trust, London, UK.
| | - Laura Buggiotti
- Infection, Immunity and Inflammation, Great Ormond Street Institute of Child Health, University College London, London, UK
| | - Jose Afonso Guerra-Assuncao
- Infection, Immunity and Inflammation, Great Ormond Street Institute of Child Health, University College London, London, UK
| | - Maximillian Woodall
- Infection, Immunity and Inflammation, Great Ormond Street Institute of Child Health, University College London, London, UK
| | - Samuel Ellis
- Infection, Immunity and Inflammation, Great Ormond Street Institute of Child Health, University College London, London, UK
| | - Akosua A Agyeman
- Infection, Immunity and Inflammation, Great Ormond Street Institute of Child Health, University College London, London, UK
| | - Charles Miller
- Great Ormond Street Hospital for Children NHS Trust, London, UK
| | - Mercy Okechukwu
- Infection, Immunity and Inflammation, Great Ormond Street Institute of Child Health, University College London, London, UK
| | - Emily Kirkpatrick
- Infection, Immunity and Inflammation, Great Ormond Street Institute of Child Health, University College London, London, UK
| | - Amy I Jacobs
- Infection, Immunity and Inflammation, Great Ormond Street Institute of Child Health, University College London, London, UK
| | - Charlotte A Williams
- Genetics and Genomic Medicine Department, Great Ormond Street Institute of Child Health, University College London, London, UK
| | - Sunando Roy
- Genetics and Genomic Medicine Department, Great Ormond Street Institute of Child Health, University College London, London, UK
| | - Luz M Martin-Bernal
- Genetics and Genomic Medicine Department, Great Ormond Street Institute of Child Health, University College London, London, UK
| | - Rachel Williams
- Genetics and Genomic Medicine Department, Great Ormond Street Institute of Child Health, University College London, London, UK
| | - Claire M Smith
- Infection, Immunity and Inflammation, Great Ormond Street Institute of Child Health, University College London, London, UK
| | | | - Fiona B Ashford
- Clinical Immunology Service, Institute of Immunology and Immunotherapy, University of Birmingham, Birmingham, UK
| | - Beena Emmanuel
- Clinical Immunology Service, Institute of Immunology and Immunotherapy, University of Birmingham, Birmingham, UK
| | - Zaheer M Afzal
- Clinical Immunology Service, Institute of Immunology and Immunotherapy, University of Birmingham, Birmingham, UK
| | - Adrian Shields
- Clinical Immunology Service, Institute of Immunology and Immunotherapy, University of Birmingham, Birmingham, UK
| | - Alex G Richter
- Clinical Immunology Service, Institute of Immunology and Immunotherapy, University of Birmingham, Birmingham, UK
| | - Jienchi Dorward
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK
- Centre for the AIDS Programme of Research in South Africa (CAPRISA), University of KwaZulu-Natal, Durban, South Africa
| | - Oghenekome Gbinigie
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK
| | - Oliver Van Hecke
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK
| | - Mark Lown
- Primary Care Research Centre, University of Southampton, Southampton, UK
| | - Nick Francis
- Primary Care Research Centre, University of Southampton, Southampton, UK
| | - Bhautesh Jani
- School of Health and Wellbeing, University of Glasgow, Glasgow, UK
| | - Duncan B Richards
- Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, UK
| | - Najib M Rahman
- Respiratory Trials Unit and Oxford NIHR Biomedical Research Centre, Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - Ly-Mee Yu
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK
| | | | - Nigel D Hart
- School of Medicine, Dentistry and Biomedical Sciences. Queen's University Belfast, Belfast, UK
| | - Philip Evans
- APEx (Exeter Collaboration for Academic Primary Care), University of Exeter Medical School, Exeter, UK
- National Institute of Health and Care Research, Clinical Research Network, University of Leeds, Leeds, UK
| | | | - Gail Hayward
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK
| | - Kerenza Hood
- Centre for Trials Research, Cardiff University, Wales, UK
| | | | - Paul Little
- Primary Care Research Centre, University of Southampton, Southampton, UK
| | - F D Richard Hobbs
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK
| | - Saye Khoo
- Department of Pharmacology, University of Liverpool and Liverpool University Hospitals NHS Foundation Trust, Liverpool, UK
| | - Christopher Butler
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK
| | - David M Lowe
- Department of Clinical Immunology, Royal Free London NHS Foundation Trust, London, UK
- Institute of Immunity and Transplantation, University College London, London, UK
| | - Judith Breuer
- Infection, Immunity and Inflammation, Great Ormond Street Institute of Child Health, University College London, London, UK
- Great Ormond Street Hospital for Children NHS Trust, London, UK
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Kandel S, Hartzell SL, Ingold AK, Turner GA, Kennedy JL, Ussery DW. Genomic surveillance of SARS-CoV-2 using long-range PCR primers. Front Microbiol 2024; 15:1272972. [PMID: 38440140 PMCID: PMC10910555 DOI: 10.3389/fmicb.2024.1272972] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2023] [Accepted: 01/03/2024] [Indexed: 03/06/2024] Open
Abstract
Introduction Whole Genome Sequencing (WGS) of the SARS-CoV-2 virus is crucial in the surveillance of the COVID-19 pandemic. Several primer schemes have been developed to sequence nearly all of the ~30,000 nucleotide SARS-CoV-2 genome, using a multiplex PCR approach to amplify cDNA copies of the viral genomic RNA. Midnight primers and ARTIC V4.1 primers are the most popular primer schemes that can amplify segments of SARS-CoV-2 (400 bp and 1200 bp, respectively) tiled across the viral RNA genome. Mutations within primer binding sites and primer-primer interactions can result in amplicon dropouts and coverage bias, yielding low-quality genomes with 'Ns' inserted in the missing amplicon regions, causing inaccurate lineage assignments, and making it challenging to monitor lineage-specific mutations in Variants of Concern (VoCs). Methods In this study we used a set of seven long-range PCR primer pairs to sequence clinical isolates of SARS-CoV-2 on Oxford Nanopore sequencer. These long-range primers generate seven amplicons approximately 4500 bp that covered whole genome of SARS-CoV-2. One of these regions includes the full-length S-gene by using a set of flanking primers. We also evaluated the performance of these long-range primers with Midnight primers by sequencing 94 clinical isolates in a Nanopore flow cell. Results and discussion Using a small set of long-range primers to sequence SARS-CoV-2 genomes reduces the possibility of amplicon dropout and coverage bias. The key finding of this study is that long range primers can be used in single-molecule sequencing of RNA viruses in surveillance of emerging variants. We also show that by designing primers flanking the S-gene, we can obtain reliable identification of SARS-CoV-2 variants.
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Affiliation(s)
- Sangam Kandel
- Department of Biomedical Informatics, University of Arkansas for Medical Sciences, Little Rock, AR, United States
| | | | - Ashton K. Ingold
- Arkansas Children's Research Institute, Little Rock, AR, United States
| | - Grace A. Turner
- Arkansas Children's Research Institute, Little Rock, AR, United States
| | - Joshua L. Kennedy
- Arkansas Children's Research Institute, Little Rock, AR, United States
- Department of Pediatrics, University of Arkansas for Medical Sciences, Little Rock, AR, United States
- Department of Internal Medicine, University of Arkansas for Medical Sciences, Little Rock, AR, United States
| | - David W. Ussery
- Department of Biomedical Informatics, University of Arkansas for Medical Sciences, Little Rock, AR, United States
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42
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Mishra SK, Nelson CW, Zhu B, Pinheiro M, Lee HJ, Dean M, Burdett L, Yeager M, Mirabello L. Improved detection of low-frequency within-host variants from deep sequencing: A case study with human papillomavirus. Virus Evol 2024; 10:veae013. [PMID: 38455683 PMCID: PMC10919477 DOI: 10.1093/ve/veae013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2023] [Revised: 01/19/2024] [Accepted: 02/01/2024] [Indexed: 03/09/2024] Open
Abstract
High-coverage sequencing allows the study of variants occurring at low frequencies within samples, but is susceptible to false-positives caused by sequencing error. Ion Torrent has a very low single nucleotide variant (SNV) error rate and has been employed for the majority of human papillomavirus (HPV) whole genome sequences. However, benchmarking of intrahost SNVs (iSNVs) has been challenging, partly due to limitations imposed by the HPV life cycle. We address this problem by deep sequencing three replicates for each of 31 samples of HPV type 18 (HPV18). Errors, defined as iSNVs observed in only one of three replicates, are dominated by C→T (G→A) changes, independently of trinucleotide context. True iSNVs, defined as those observed in all three replicates, instead show a more diverse SNV type distribution, with particularly elevated C→T rates in CCG context (CCG→CTG; CGG→CAG) and C→A rates in ACG context (ACG→AAG; CGT→CTT). Characterization of true iSNVs allowed us to develop two methods for detecting true variants: (1) VCFgenie, a dynamic binomial filtering tool which uses each variant's allele count and coverage instead of fixed frequency cut-offs; and (2) a machine learning binary classifier which trains eXtreme Gradient Boosting models on variant features such as quality and trinucleotide context. Each approach outperforms fixed-cut-off filtering of iSNVs, and performance is enhanced when both are used together. Our results provide improved methods for identifying true iSNVs in within-host applications across sequencing platforms, specifically using HPV18 as a case study.
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Affiliation(s)
- Sambit K Mishra
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, 9609 Medical Center Drive, Rockville, MD 20850, USA
- Cancer Genomics Research Laboratory, Leidos Biomedical Research, Inc., Frederick National Laboratory for Cancer Research, P.O. Box B, Bldg. 430, Frederick, MD 21702, USA
| | - Chase W Nelson
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, 9609 Medical Center Drive, Rockville, MD 20850, USA
| | - Bin Zhu
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, 9609 Medical Center Drive, Rockville, MD 20850, USA
| | - Maisa Pinheiro
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, 9609 Medical Center Drive, Rockville, MD 20850, USA
| | - Hyo Jung Lee
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, 9609 Medical Center Drive, Rockville, MD 20850, USA
- Cancer Genomics Research Laboratory, Leidos Biomedical Research, Inc., Frederick National Laboratory for Cancer Research, P.O. Box B, Bldg. 430, Frederick, MD 21702, USA
| | - Michael Dean
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, 9609 Medical Center Drive, Rockville, MD 20850, USA
| | - Laurie Burdett
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, 9609 Medical Center Drive, Rockville, MD 20850, USA
- Cancer Genomics Research Laboratory, Leidos Biomedical Research, Inc., Frederick National Laboratory for Cancer Research, P.O. Box B, Bldg. 430, Frederick, MD 21702, USA
| | - Meredith Yeager
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, 9609 Medical Center Drive, Rockville, MD 20850, USA
- Cancer Genomics Research Laboratory, Leidos Biomedical Research, Inc., Frederick National Laboratory for Cancer Research, P.O. Box B, Bldg. 430, Frederick, MD 21702, USA
| | - Lisa Mirabello
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, 9609 Medical Center Drive, Rockville, MD 20850, USA
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Kar M, Johnson KEE, Vanderheiden A, Elrod EJ, Floyd K, Geerling E, Stone ET, Salinas E, Banakis S, Wang W, Sathish S, Shrihari S, Davis-Gardner ME, Kohlmeier J, Pinto A, Klein R, Grakoui A, Ghedin E, Suthar MS. CD4+ and CD8+ T cells are required to prevent SARS-CoV-2 persistence in the nasal compartment. bioRxiv 2024:2024.01.23.576505. [PMID: 38410446 PMCID: PMC10896337 DOI: 10.1101/2024.01.23.576505] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/28/2024]
Abstract
SARS-CoV-2 is the causative agent of COVID-19 and continues to pose a significant public health threat throughout the world. Following SARS-CoV-2 infection, virus-specific CD4+ and CD8+ T cells are rapidly generated to form effector and memory cells and persist in the blood for several months. However, the contribution of T cells in controlling SARS-CoV-2 infection within the respiratory tract are not well understood. Using C57BL/6 mice infected with a naturally occurring SARS-CoV-2 variant (B.1.351), we evaluated the role of T cells in the upper and lower respiratory tract. Following infection, SARS-CoV-2-specific CD4+ and CD8+ T cells are recruited to the respiratory tract and a vast proportion secrete the cytotoxic molecule Granzyme B. Using antibodies to deplete T cells prior to infection, we found that CD4+ and CD8+ T cells play distinct roles in the upper and lower respiratory tract. In the lungs, T cells play a minimal role in viral control with viral clearance occurring in the absence of both CD4+ and CD8+ T cells through 28 days post-infection. In the nasal compartment, depletion of both CD4+ and CD8+ T cells, but not individually, results in persistent and culturable virus replicating in the nasal compartment through 28 days post-infection. Using in situ hybridization, we found that SARS-CoV-2 infection persisted in the nasal epithelial layer of tandem CD4+ and CD8+ T cell-depleted mice. Sequence analysis of virus isolates from persistently infected mice revealed mutations spanning across the genome, including a deletion in ORF6. Overall, our findings highlight the importance of T cells in controlling virus replication within the respiratory tract during SARS-CoV-2 infection.
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Rubio A, de Toro M, Pérez-Pulido AJ. The most exposed regions of SARS-CoV-2 structural proteins are subject to strong positive selection and gene overlap may locally modify this behavior. mSystems 2024; 9:e0071323. [PMID: 38095866 PMCID: PMC10804949 DOI: 10.1128/msystems.00713-23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2023] [Accepted: 11/10/2023] [Indexed: 12/22/2023] Open
Abstract
The SARS-CoV-2 (severe acute respiratory syndrome coronavirus 2) pandemic that emerged in 2019 has been an unprecedented event in international science, as it has been possible to sequence millions of genomes, tracking their evolution very closely. This has enabled various types of secondary analyses of these genomes, including the measurement of their sequence selection pressure. In this work, we have been able to measure the selective pressure of all the described SARS-CoV-2 genes, even analyzed by sequence regions, and we show how this type of analysis allows us to separate the genes between those subject to positive selection (usually those that code for surface proteins or those exposed to the host immune system) and those subject to negative selection because they require greater conservation of their structure and function. We have also seen that when another gene with an overlapping reading frame appears within a gene sequence, the overlapping sequence between the two genes evolves under a stronger purifying selection than the average of the non-overlapping regions of the main gene. We propose this type of analysis as a useful tool for locating and analyzing all the genes of a viral genome when an adequate number of sequences are available.IMPORTANCEWe have analyzed the selection pressure of all severe acute respiratory syndrome coronavirus 2 genes by means of the nonsynonymous (Ka) to synonymous (Ks) substitution rate. We found that protein-coding genes are exposed to strong positive selection, especially in the regions of interaction with other molecules (host receptor and genome of the virus itself). However, overlapping coding regions are more protected and show negative selection. This suggests that this measure could be used to study viral gene function as well as overlapping genes.
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Affiliation(s)
- Alejandro Rubio
- Faculty of Experimental Sciences, Genetics Area, Andalusian Centre for Developmental Biology (CABD, UPO-CSIC-JA), University Pablo de Olavide, Sevilla, Spain
| | - Maria de Toro
- Genomics and Bioinformatics Core Facility, Center for Biomedical Research of La Rioja, Logroño, Spain
| | - Antonio J. Pérez-Pulido
- Faculty of Experimental Sciences, Genetics Area, Andalusian Centre for Developmental Biology (CABD, UPO-CSIC-JA), University Pablo de Olavide, Sevilla, Spain
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Farjo M, Koelle K, Martin MA, Gibson LL, Walden KKO, Rendon G, Fields CJ, Alnaji FG, Gallagher N, Luo CH, Mostafa HH, Manabe YC, Pekosz A, Smith RL, McManus DD, Brooke CB. Within-host evolutionary dynamics and tissue compartmentalization during acute SARS-CoV-2 infection. J Virol 2024; 98:e0161823. [PMID: 38174928 PMCID: PMC10805032 DOI: 10.1128/jvi.01618-23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2023] [Accepted: 12/01/2023] [Indexed: 01/05/2024] Open
Abstract
The global evolution of SARS-CoV-2 depends in part upon the evolutionary dynamics within individual hosts with varying immune histories. To characterize the within-host evolution of acute SARS-CoV-2 infection, we sequenced saliva and nasal samples collected daily from vaccinated and unvaccinated individuals early during infection. We show that longitudinal sampling facilitates high-confidence genetic variant detection and reveals evolutionary dynamics missed by less-frequent sampling strategies. Within-host dynamics in both unvaccinated and vaccinated individuals appeared largely stochastic; however, in rare cases, minor genetic variants emerged to frequencies sufficient for forward transmission. Finally, we detected significant genetic compartmentalization of viral variants between saliva and nasal swab sample sites in many individuals. Altogether, these data provide a high-resolution profile of within-host SARS-CoV-2 evolutionary dynamics.IMPORTANCEWe detail the within-host evolutionary dynamics of SARS-CoV-2 during acute infection in 31 individuals using daily longitudinal sampling. We characterized patterns of mutational accumulation for unvaccinated and vaccinated individuals, and observed that temporal variant dynamics in both groups were largely stochastic. Comparison of paired nasal and saliva samples also revealed significant genetic compartmentalization between tissue environments in multiple individuals. Our results demonstrate how selection, genetic drift, and spatial compartmentalization all play important roles in shaping the within-host evolution of SARS-CoV-2 populations during acute infection.
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Affiliation(s)
- Mireille Farjo
- Department of Microbiology, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
| | - Katia Koelle
- Department of Biology, Emory University, Atlanta, Georgia, USA
| | - Michael A. Martin
- Department of Biology, Emory University, Atlanta, Georgia, USA
- Population Biology, Ecology, and Evolution Graduate Program, Emory University, Atlanta, Georgia, USA
| | - Laura L. Gibson
- Division of Infectious Diseases and Immunology, Department of Medicine, University of Massachusetts Medical School, Worcester, Massachusetts, USA
- Department of Pediatrics, University of Massachusetts Medical School, Worcester, Massachusetts, USA
| | - Kimberly K. O. Walden
- High-Performance Biological Computing at the Roy J. Carver Biotechnology Center, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
| | - Gloria Rendon
- High-Performance Biological Computing at the Roy J. Carver Biotechnology Center, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
| | - Christopher J. Fields
- High-Performance Biological Computing at the Roy J. Carver Biotechnology Center, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
| | - Fadi G. Alnaji
- Department of Microbiology, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
| | - Nicholas Gallagher
- Division of Medical Microbiology, Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Chun Huai Luo
- Division of Medical Microbiology, Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Heba H. Mostafa
- Division of Medical Microbiology, Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Yukari C. Manabe
- Division of Infectious Disease, Department of Medicine, Johns Hopkins School of Medicine, Baltimore, Maryland, USA
- W. Harry Feinstone Department of Molecular Microbiology and Immunology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Andrew Pekosz
- W. Harry Feinstone Department of Molecular Microbiology and Immunology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Rebecca L. Smith
- Carl R. Woese Institute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
- Department of Pathobiology, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
- Carle Illinois College of Medicine, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
| | - David D. McManus
- Division of Cardiology, University of Massachusetts Medical School, Worcester, Massachusetts, USA
| | - Christopher B. Brooke
- Department of Microbiology, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
- Carl R. Woese Institute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
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Banho CA, de Carvalho Marques B, Sacchetto L, Sepedro Lima AK, Pereira Parra MC, Jeronimo Lima AR, Ribeiro G, Jorge Martins A, dos Santos Barros CR, Carolina Elias M, Coccuzzo Sampaio S, Nanev Slavov S, Strazza Rodrigues E, Vieira Santos E, Tadeu Covas D, Kashima S, Augusto Brassaloti R, Petry B, Gaspar Clemente L, Lehmann Coutinho L, Akemi Assato P, da Silva da Costa FA, Souza-Neto JA, Maria Tommasini Grotto R, Daiana Poleti M, Cristina Chagas Lesbon J, Chicaroni Mattos E, Fukumasu H, Giovanetti M, Carlos Junior Alcantara L, Rahal P, Pessoa Araújo JF, Althouse BM, Vasilakis N, Lacerda Nogueira M. Dynamic clade transitions and the influence of vaccine rollout on the spatiotemporal circulation of SARS-CoV-2 variants in São Paulo, Brazil. Res Sq 2024:rs.3.rs-3788142. [PMID: 38343798 PMCID: PMC10854302 DOI: 10.21203/rs.3.rs-3788142/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 02/21/2024]
Abstract
Since 2021, the emergence of variants of concern (VOC) has led Brazil to experience record numbers of in COVID-19 cases and deaths. The expanded spread of the SARS-CoV-2 combined with a low vaccination rate has contributed to the emergence of new mutations that may enhance viral fitness, leading to the persistence of the disease. Due to limitations in the real-time genomic monitoring of new variants in some Brazilian states, we aimed to investigate whether genomic surveillance, coupled with epidemiological data and SARS-CoV-2 variants spatiotemporal spread in a smaller region, can reflect the pandemic progression at a national level. Our findings revealed three SARS-CoV-2 variant replacements from 2021 to early 2022, corresponding to the introduction and increase in the frequency of Gamma, Delta, and Omicron variants, as indicated by peaks of the Effective Reproductive Number (Reff). These distinct clade replacements triggered two waves of COVID-19 cases, influenced by the increasing vaccine uptake over time. Our results indicated that the effectiveness of vaccination in preventing new cases during the Delta and Omicron circulations was six and eleven times higher, respectively, than during the period when Gamma was predominant, and it was highly efficient in reducing the number of deaths. Furthermore, we demonstrated that genomic monitoring at a local level can reflect the national trends in the spread and evolution of SARS-CoV-2.
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Affiliation(s)
- Cecília Artico Banho
- Laboratório de Pesquisas em Virologia, Faculdade de Medicina de São José do Rio Preto; São José do Rio Preto, São Paulo, Brazil
| | - Beatriz de Carvalho Marques
- Laboratório de Pesquisas em Virologia, Faculdade de Medicina de São José do Rio Preto; São José do Rio Preto, São Paulo, Brazil
| | - Lívia Sacchetto
- Laboratório de Pesquisas em Virologia, Faculdade de Medicina de São José do Rio Preto; São José do Rio Preto, São Paulo, Brazil
| | - Ana Karoline Sepedro Lima
- Laboratório de Pesquisas em Virologia, Faculdade de Medicina de São José do Rio Preto; São José do Rio Preto, São Paulo, Brazil
| | - Maisa Carla Pereira Parra
- Laboratório de Pesquisas em Virologia, Faculdade de Medicina de São José do Rio Preto; São José do Rio Preto, São Paulo, Brazil
| | - Alex Ranieri Jeronimo Lima
- Center for Viral Surveillance and Serological Assessment (CeVIVAS), Butantan Institute, São Paulo, Brazil
| | - Gabriela Ribeiro
- Center for Viral Surveillance and Serological Assessment (CeVIVAS), Butantan Institute, São Paulo, Brazil
| | - Antonio Jorge Martins
- Center for Viral Surveillance and Serological Assessment (CeVIVAS), Butantan Institute, São Paulo, Brazil
| | | | - Maria Carolina Elias
- Center for Viral Surveillance and Serological Assessment (CeVIVAS), Butantan Institute, São Paulo, Brazil
| | - Sandra Coccuzzo Sampaio
- Center for Viral Surveillance and Serological Assessment (CeVIVAS), Butantan Institute, São Paulo, Brazil
| | - Svetoslav Nanev Slavov
- Center for Viral Surveillance and Serological Assessment (CeVIVAS), Butantan Institute, São Paulo, Brazil
- University of São Paulo, Ribeirão Preto Medical School, Blood Center of Ribeirão Preto, Ribeirão Preto, SP, Brazil
| | - Evandra Strazza Rodrigues
- University of São Paulo, Ribeirão Preto Medical School, Blood Center of Ribeirão Preto, Ribeirão Preto, SP, Brazil
| | - Elaine Vieira Santos
- University of São Paulo, Ribeirão Preto Medical School, Blood Center of Ribeirão Preto, Ribeirão Preto, SP, Brazil
| | - Dimas Tadeu Covas
- Center for Viral Surveillance and Serological Assessment (CeVIVAS), Butantan Institute, São Paulo, Brazil
- University of São Paulo, Ribeirão Preto Medical School, Blood Center of Ribeirão Preto, Ribeirão Preto, SP, Brazil
| | - Simone Kashima
- University of São Paulo, Ribeirão Preto Medical School, Blood Center of Ribeirão Preto, Ribeirão Preto, SP, Brazil
| | | | - Bruna Petry
- University of São Paulo, Centro de Genômica Funcional da ESALQ, Piracicaba, SP, Brazil
| | - Luan Gaspar Clemente
- University of São Paulo, Centro de Genômica Funcional da ESALQ, Piracicaba, SP, Brazil
| | - Luiz Lehmann Coutinho
- University of São Paulo, Centro de Genômica Funcional da ESALQ, Piracicaba, SP, Brazil
| | - Patricia Akemi Assato
- São Paulo State University (UNESP), School of Agricultural Sciences, Department of Bioprocesses and Biotechnology, Botucatu, Brazil
| | - Felipe Allan da Silva da Costa
- São Paulo State University (UNESP), School of Agricultural Sciences, Department of Bioprocesses and Biotechnology, Botucatu, Brazil
| | - Jayme A. Souza-Neto
- São Paulo State University (UNESP), School of Agricultural Sciences, Botucatu, Brazil
| | - Rejane Maria Tommasini Grotto
- São Paulo State University (UNESP), School of Agricultural Sciences, Botucatu, Brazil
- Molecular Biology Laboratory, Applied Biotechnology Laboratory, Clinical Hospital of the Botucatu Medical School, Brazil
| | - Mirele Daiana Poleti
- Department of Veterinary Medicine, School of Animal Science and Food Engineering, University of São Paulo, Pirassununga, São Paulo, Brazil
| | - Jessika Cristina Chagas Lesbon
- Department of Veterinary Medicine, School of Animal Science and Food Engineering, University of São Paulo, Pirassununga, São Paulo, Brazil
| | - Elisangela Chicaroni Mattos
- Department of Veterinary Medicine, School of Animal Science and Food Engineering, University of São Paulo, Pirassununga, São Paulo, Brazil
| | - Heidge Fukumasu
- Department of Veterinary Medicine, School of Animal Science and Food Engineering, University of São Paulo, Pirassununga, São Paulo, Brazil
| | - Marta Giovanetti
- Oswaldo Cruz Foundation, FIOCRUZ, Rio de Janeiro, Brazil
- Climate Amplified Diseases And Epidemics (CLIMADE), Brazil, Americas
- Sciences and Technologies for Sustainable Development and One Health, Universita Campus Bio-Medico di Roma, Italy
| | - Luiz Carlos Junior Alcantara
- Oswaldo Cruz Foundation, FIOCRUZ, Rio de Janeiro, Brazil
- Climate Amplified Diseases And Epidemics (CLIMADE), Brazil, Americas
| | - Paula Rahal
- Laboratório de Estudos Genômicos, Departamento de Biologia, Instituto de Biociências Letras e Ciências Exatas (IBILCE), Universidade Estadual Paulista (Unesp), São José do Rio Preto, Brazil
| | - João Fernando Pessoa Araújo
- Instituto de Biotecnologia, Universidade Estadual Paulista (Unesp), Botucatu, Brazil
- Laboratório de Microbiologia Molecular, Instituto de Ciências da Saúde, Universidade Feevale, Novo Hamburgo, Brazil
| | - Benjamin M. Althouse
- Department of Biology, New Mexico State University, Las Cruces, NM
- Information School, University of Washington, Seattle, WA
| | - Nikos Vasilakis
- Department of Pathology, University of Texas Medical Branch; Galveston, Texas, United States of America
- Center for Vector-Borne and Zoonotic Diseases, University of Texas Medical Branch, Galveston, Texas, United States of America
- Institute for Human Infection and Immunity, University of Texas Medical Branch, Galveston, Texas, United States of America
| | - Maurício Lacerda Nogueira
- Laboratório de Pesquisas em Virologia, Faculdade de Medicina de São José do Rio Preto; São José do Rio Preto, São Paulo, Brazil
- Department of Pathology, University of Texas Medical Branch; Galveston, Texas, United States of America
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Croville G, Walch M, Sécula A, Lèbre L, Silva S, Filaire F, Guérin JL. An amplicon-based nanopore sequencing workflow for rapid tracking of avian influenza outbreaks, France, 2020-2022. Front Cell Infect Microbiol 2024; 14:1257586. [PMID: 38318163 PMCID: PMC10839014 DOI: 10.3389/fcimb.2024.1257586] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2023] [Accepted: 01/04/2024] [Indexed: 02/07/2024] Open
Abstract
During the recent avian influenza epizootics that occurred in France in 2020/21 and 2021/22, the virus was so contagiousness that it was impossible to control its spread between farms. The preventive slaughter of millions of birds consequently was the only solution available. In an effort to better understand the spread of avian influenza viruses (AIVs) in a rapid and innovative manner, we established an amplicon-based MinION sequencing workflow for the rapid genetic typing of circulating AIV strains. An amplicon-based MinION sequencing workflow based on a set of PCR primers targeting primarily the hemagglutinin gene but also the entire influenza virus genome was developed. Thirty field samples from H5 HPAIV outbreaks in France, including environmental samples, were sequenced using the MinION MK1C. A real-time alignment of the sequences with MinKNOW software allowed the sequencing run to be stopped as soon as enough data were generated. The consensus sequences were then generated and a phylogenetic analysis was conducted to establish links between the outbreaks. The whole sequence of the hemagglutinin gene was obtained for the 30 clinical samples of H5Nx HPAIV belonging to clade 2.3.4.4b. The consensus sequences comparison and the phylogenetic analysis demonstrated links between some outbreaks. While several studies have shown the advantages of MinION for avian influenza virus sequencing, this workflow has been applied exclusively to clinical field samples, without any amplification step on cell cultures or embryonated eggs. As this type of testing pipeline requires only a short amount of time to link outbreaks or demonstrate a new introduction, it could be applied to the real-time management of viral epizootics.
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Ling-Hu T, Simons LM, Dean TJ, Rios-Guzman E, Caputo MT, Alisoltani A, Qi C, Malczynski M, Blanke T, Jennings LJ, Ison MG, Achenbach CJ, Larkin PM, Kaul KL, Lorenzo-Redondo R, Ozer EA, Hultquist JF. Integration of individualized and population-level molecular epidemiology data to model COVID-19 outcomes. Cell Rep Med 2024; 5:101361. [PMID: 38232695 PMCID: PMC10829796 DOI: 10.1016/j.xcrm.2023.101361] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2022] [Revised: 08/07/2023] [Accepted: 12/11/2023] [Indexed: 01/19/2024]
Abstract
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants with enhanced transmissibility and immune escape have emerged periodically throughout the coronavirus disease 2019 (COVID-19) pandemic, but the impact of these variants on disease severity has remained unclear. In this single-center, retrospective cohort study, we examined the association between SARS-CoV-2 clade and patient outcome over a two-year period in Chicago, Illinois. Between March 2020 and March 2022, 14,252 residual diagnostic specimens were collected from SARS-CoV-2-positive inpatients and outpatients alongside linked clinical and demographic metadata, of which 2,114 were processed for viral whole-genome sequencing. When controlling for patient demographics and vaccination status, several viral clades were associated with risk for hospitalization, but this association was negated by the inclusion of population-level confounders, including case count, sampling bias, and shifting standards of care. These data highlight the importance of integrating non-virological factors into disease severity and outcome models for the accurate assessment of patient risk.
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Affiliation(s)
- Ted Ling-Hu
- Department of Medicine, Division of Infectious Diseases, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA; Center for Pathogen Genomics and Microbial Evolution, Northwestern University Havey Institute for Global Health, Chicago, IL 60611, USA
| | - Lacy M Simons
- Department of Medicine, Division of Infectious Diseases, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA; Center for Pathogen Genomics and Microbial Evolution, Northwestern University Havey Institute for Global Health, Chicago, IL 60611, USA
| | - Taylor J Dean
- Department of Medicine, Division of Infectious Diseases, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA; Center for Pathogen Genomics and Microbial Evolution, Northwestern University Havey Institute for Global Health, Chicago, IL 60611, USA
| | - Estefany Rios-Guzman
- Department of Medicine, Division of Infectious Diseases, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA; Center for Pathogen Genomics and Microbial Evolution, Northwestern University Havey Institute for Global Health, Chicago, IL 60611, USA
| | - Matthew T Caputo
- Havey Institute for Global Health, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA
| | - Arghavan Alisoltani
- Department of Medicine, Division of Infectious Diseases, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA; Center for Pathogen Genomics and Microbial Evolution, Northwestern University Havey Institute for Global Health, Chicago, IL 60611, USA
| | - Chao Qi
- Clinical Microbiology Laboratory, Department of Pathology, Northwestern Memorial Hospital, Chicago, IL 60611, USA
| | - Michael Malczynski
- Clinical Microbiology Laboratory, Department of Pathology, Northwestern Memorial Hospital, Chicago, IL 60611, USA
| | - Timothy Blanke
- Diagnostic Molecular Biology Laboratory, Northwestern Memorial Hospital, Chicago, IL 60611, USA
| | - Lawrence J Jennings
- Clinical Microbiology Laboratory, Department of Pathology, Northwestern Memorial Hospital, Chicago, IL 60611, USA
| | - Michael G Ison
- Department of Medicine, Division of Infectious Diseases, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
| | - Chad J Achenbach
- Department of Medicine, Division of Infectious Diseases, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA; Havey Institute for Global Health, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA
| | - Paige M Larkin
- Department of Molecular Microbiology, Northshore University HealthSystem, Evanston, IL 60201, USA
| | - Karen L Kaul
- Department of Pathology, Northshore University HealthSystem, Evanston, IL 60201, USA
| | - Ramon Lorenzo-Redondo
- Department of Medicine, Division of Infectious Diseases, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA; Center for Pathogen Genomics and Microbial Evolution, Northwestern University Havey Institute for Global Health, Chicago, IL 60611, USA
| | - Egon A Ozer
- Department of Medicine, Division of Infectious Diseases, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA; Center for Pathogen Genomics and Microbial Evolution, Northwestern University Havey Institute for Global Health, Chicago, IL 60611, USA
| | - Judd F Hultquist
- Department of Medicine, Division of Infectious Diseases, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA; Center for Pathogen Genomics and Microbial Evolution, Northwestern University Havey Institute for Global Health, Chicago, IL 60611, USA.
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49
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Martin MF, Bonaventure B, McCray NE, Peersen OB, Rozen-Gagnon K, Stapleford KA. Distinct chikungunya virus polymerase palm subdomains contribute to virus replication and virion assembly. bioRxiv 2024:2024.01.15.575630. [PMID: 38293111 PMCID: PMC10827052 DOI: 10.1101/2024.01.15.575630] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/01/2024]
Abstract
Alphaviruses encode an error-prone RNA-dependent RNA polymerase (RdRp), nsP4, required for genome synthesis, yet how the RdRp functions in the complete alphavirus life cycle is not well-defined. Previous work using chikungunya virus (CHIKV) has established the importance of the nsP4 residue cysteine 483 in maintaining viral genetic fidelity. Given the location of residue C483 in the nsP4 palm domain, we hypothesized that other residues within this domain and surrounding subdomains would also contribute to polymerase function. To test this hypothesis, we designed a panel of nsP4 variants via homology modeling based on the Coxsackievirus B3 3 polymerase. We rescued each variant in both mammalian and mosquito cells and discovered that the palm domain and ring finger subdomain contribute to polymerase host-specific replication and genetic stability. Surprisingly, in mosquito cells, these variants in the ring finger and palm domain were replication competent and produced viral structural proteins, but they were unable to produce infectious progeny, indicating a yet uncharacterized role for the polymerase in viral assembly. Finally, we have identified additional residues in the nsP4 palm domain that influence the genetic diversity of the viral progeny, potentially via an alteration in NTP binding and/or discrimination by the polymerase. Taken together, these studies highlight that distinct nsP4 subdomains regulate multiple processes of the alphavirus life cycle, placing nsP4 in a central role during the switch from RNA synthesis to packaging and assembly.
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Affiliation(s)
- Marie-France Martin
- Department of Microbiology, New York University Grossman School of Medicine, New York, New York, USA
| | - Boris Bonaventure
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Nia E. McCray
- Department of Microbiology, New York University Grossman School of Medicine, New York, New York, USA
| | - Olve B. Peersen
- Department of Biochemistry & Molecular Biology, Colorado State University, Fort Collins, CO, USA
| | | | - Kenneth A. Stapleford
- Department of Microbiology, New York University Grossman School of Medicine, New York, New York, USA
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Zufan SE, Mercoulia K, Kwong JC, Judd LM, Howden BP, Seemann T, Stinear TP. High-performance enrichment-based genome sequencing to support the investigation of hepatitis A virus outbreaks. Microbiol Spectr 2024; 12:e0283423. [PMID: 38018979 PMCID: PMC10783085 DOI: 10.1128/spectrum.02834-23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2023] [Accepted: 10/14/2023] [Indexed: 11/30/2023] Open
Abstract
IMPORTANCE This proof-of-concept study introduces a hybrid capture oligo panel for whole-genome sequencing of all six human pathogenic hepatitis A virus (HAV) subgenotypes, exhibiting a higher sensitivity than some conventional genotyping assays. The ability of hybrid capture to enrich multiple targets allows for a single, streamlined workflow, thus facilitating the potential harmonization of molecular surveillance of HAV with other enteric viruses. Even challenging sample matrices can be accommodated, making them suitable for broad implementation in clinical and public health laboratories. This innovative approach has significant implications for enhancing multijurisdictional outbreak investigations as well as our understanding of the global diversity and transmission dynamics of HAV.
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Affiliation(s)
- Sara E. Zufan
- The Center for Pathogen Genomics, The University of Melbourne, Melbourne, Victoria, Australia
- Department of Microbiology and Immunology, The University of Melbourne at the Peter Doherty Institute for Infection and Immunity, Melbourne, Victoria, Australia
| | - Karolina Mercoulia
- Department of Microbiology and Immunology, The University of Melbourne at the Peter Doherty Institute for Infection and Immunity, Melbourne, Victoria, Australia
- Microbiological Diagnostic Unit Public Health Laboratory, The University of Melbourne at the Peter Doherty Institute for Infection and Immunity, Melbourne, Victoria, Australia
| | - Jason C. Kwong
- Department of Infectious Diseases, Austin Health, Heidelberg, Victoria, Australia
- Department of Infectious Diseases, The University of Melbourne at the Peter Doherty Institute for Infection and Immunity, Melbourne, Victoria, Australia
| | - Louise M. Judd
- Department of Microbiology and Immunology, The University of Melbourne at the Peter Doherty Institute for Infection and Immunity, Melbourne, Victoria, Australia
- Doherty Applied Microbial Genomics, The University of Melbourne at the Peter Doherty Institute for Infection and Immunity, Melbourne, Victoria, Australia
| | - Benjamin P. Howden
- The Center for Pathogen Genomics, The University of Melbourne, Melbourne, Victoria, Australia
- Department of Microbiology and Immunology, The University of Melbourne at the Peter Doherty Institute for Infection and Immunity, Melbourne, Victoria, Australia
- Microbiological Diagnostic Unit Public Health Laboratory, The University of Melbourne at the Peter Doherty Institute for Infection and Immunity, Melbourne, Victoria, Australia
| | - Torsten Seemann
- The Center for Pathogen Genomics, The University of Melbourne, Melbourne, Victoria, Australia
- Department of Microbiology and Immunology, The University of Melbourne at the Peter Doherty Institute for Infection and Immunity, Melbourne, Victoria, Australia
| | - Timothy P. Stinear
- The Center for Pathogen Genomics, The University of Melbourne, Melbourne, Victoria, Australia
- Department of Microbiology and Immunology, The University of Melbourne at the Peter Doherty Institute for Infection and Immunity, Melbourne, Victoria, Australia
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