1
|
Cardim Falcao R, Edwards MR, Hurst M, Fraser E, Otterstatter M. A Review on Microbiological Source Attribution Methods of Human Salmonellosis: From Subtyping to Whole-Genome Sequencing. Foodborne Pathog Dis 2024; 21:137-146. [PMID: 38032610 PMCID: PMC10924193 DOI: 10.1089/fpd.2023.0075] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2023] Open
Abstract
Salmonella is one of the main causes of human foodborne illness. It is endemic worldwide, with different animals and animal-based food products as reservoirs and vehicles of infection. Identifying animal reservoirs and potential transmission pathways of Salmonella is essential for prevention and control. There are many approaches for source attribution, each using different statistical models and data streams. Some aim to identify the animal reservoir, while others aim to determine the point at which exposure occurred. With the advance of whole-genome sequencing (WGS) technologies, new source attribution models will greatly benefit from the discriminating power gained with WGS. This review discusses some key source attribution methods and their mathematical and statistical tools. We also highlight recent studies utilizing WGS for source attribution and discuss open questions and challenges in developing new WGS methods. We aim to provide a better understanding of the current state of these methodologies with application to Salmonella and other foodborne pathogens that are common sources of illness in the poultry and human sectors.
Collapse
Affiliation(s)
- Rebeca Cardim Falcao
- British Columbia Centre for Disease Control, Vancouver, Canada
- School of Population and Public Health, The University of British Columbia, Vancouver, Canada
| | - Megan R Edwards
- British Columbia Centre for Disease Control, Vancouver, Canada
- School of Population and Public Health, The University of British Columbia, Vancouver, Canada
| | - Matt Hurst
- Public Health Agency of Canada, Guelph, Canada
| | - Erin Fraser
- British Columbia Centre for Disease Control, Vancouver, Canada
- School of Population and Public Health, The University of British Columbia, Vancouver, Canada
| | - Michael Otterstatter
- British Columbia Centre for Disease Control, Vancouver, Canada
- School of Population and Public Health, The University of British Columbia, Vancouver, Canada
| |
Collapse
|
2
|
Orel N, Fadeev E, Herndl GJ, Turk V, Tinta T. Recovering high-quality bacterial genomes from cross-contaminated cultures: a case study of marine Vibrio campbellii. BMC Genomics 2024; 25:146. [PMID: 38321410 PMCID: PMC10845552 DOI: 10.1186/s12864-024-10062-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2023] [Accepted: 01/29/2024] [Indexed: 02/08/2024] Open
Abstract
BACKGROUND Environmental monitoring of bacterial pathogens is critical for disease control in coastal marine ecosystems to maintain animal welfare and ecosystem function and to prevent significant economic losses. This requires accurate taxonomic identification of environmental bacterial pathogens, which often cannot be achieved by commonly used genetic markers (e.g., 16S rRNA gene), and an understanding of their pathogenic potential based on the information encoded in their genomes. The decreasing costs of whole genome sequencing (WGS), combined with newly developed bioinformatics tools, now make it possible to unravel the full potential of environmental pathogens, beyond traditional microbiological approaches. However, obtaining a high-quality bacterial genome, requires initial cultivation in an axenic culture, which is a bottleneck in environmental microbiology due to cross-contamination in the laboratory or isolation of non-axenic strains. RESULTS We applied WGS to determine the pathogenic potential of two Vibrio isolates from coastal seawater. During the analysis, we identified cross-contamination of one of the isolates and decided to use this dataset to evaluate the possibility of bioinformatic contaminant removal and recovery of bacterial genomes from a contaminated culture. Despite the contamination, using an appropriate bioinformatics workflow, we were able to obtain high quality and highly identical genomes (Average Nucleotide Identity value 99.98%) of one of the Vibrio isolates from both the axenic and the contaminated culture. Using the assembled genome, we were able to determine that this isolate belongs to a sub-lineage of Vibrio campbellii associated with several diseases in marine organisms. We also found that the genome of the isolate contains a novel Vibrio plasmid associated with bacterial defense mechanisms and horizontal gene transfer, which may offer a competitive advantage to this putative pathogen. CONCLUSIONS Our study shows that, using state-of-the-art bioinformatics tools and a sufficient sequencing effort, it is possible to obtain high quality genomes of the bacteria of interest and perform in-depth genomic analyses even in the case of a contaminated culture. With the new isolate and its complete genome, we are providing new insights into the genomic characteristics and functional potential of this sub-lineage of V. campbellii. The approach described here also highlights the possibility of recovering complete bacterial genomes in the case of non-axenic cultures or obligatory co-cultures.
Collapse
Affiliation(s)
- Neža Orel
- Marine Biology Station Piran, National Institute of Biology, Piran, Slovenia.
| | - Eduard Fadeev
- Department of Functional and Evolutionary Ecology, Bio-Oceanography and Marine Biology Unit, University of Vienna, Vienna, Austria
| | - Gerhard J Herndl
- Department of Functional and Evolutionary Ecology, Bio-Oceanography and Marine Biology Unit, University of Vienna, Vienna, Austria
- NIOZ, Department of Marine Microbiology and Biogeochemistry, Royal Netherlands Institute for Sea Research, Den Burg, The Netherlands
| | - Valentina Turk
- Marine Biology Station Piran, National Institute of Biology, Piran, Slovenia
| | - Tinkara Tinta
- Marine Biology Station Piran, National Institute of Biology, Piran, Slovenia.
| |
Collapse
|
3
|
Shropshire WC, Amiji H, Bremer J, Selvaraj Anand S, Strope B, Sahasrabhojane P, Gohel M, Aitken S, Spitznogle S, Zhan X, Kim J, Greenberg DE, Shelburne SA. Genetic determinants underlying the progressive phenotype of β-lactam/β-lactamase inhibitor resistance in Escherichia coli. Microbiol Spectr 2023; 11:e0222123. [PMID: 37800937 PMCID: PMC10715226 DOI: 10.1128/spectrum.02221-23] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2023] [Accepted: 08/23/2023] [Indexed: 10/07/2023] Open
Abstract
IMPORTANCE The increased feasibility of whole-genome sequencing has generated significant interest in using such molecular diagnostic approaches to characterize difficult-to-treat, antimicrobial-resistant (AMR) infections. Nevertheless, there are current limitations in the accurate prediction of AMR phenotypes based on existing AMR gene database approaches, which primarily correlate a phenotype with the presence/absence of a single AMR gene. Our study utilized a large cohort of cephalosporin-susceptible Escherichia coli bacteremia samples to determine how increasing the dosage of narrow-spectrum β-lactamase-encoding genes in conjunction with other diverse β-lactam/β-lactamase inhibitor (BL/BLI) genetic determinants contributes to progressively more severe BL/BLI phenotypes. We were able to characterize the complexity of the genetic mechanisms underlying progressive BL/BLI resistance including the critical role of β-lactamase encoding gene amplification. For the diverse array of AMR phenotypes with complex mechanisms involving multiple genomic factors, our study provides an example of how composite risk scores may improve understanding of AMR genotype/phenotype correlations.
Collapse
Affiliation(s)
- William C. Shropshire
- Department of Infectious Diseases, Infection Control, and Employee Health, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Hatim Amiji
- Frank H. Netter MD School of Medicine, Quinnipiac University, Hamden, Connecticut, USA
| | - Jordan Bremer
- Department of Infectious Diseases, Infection Control, and Employee Health, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Selvalakshmi Selvaraj Anand
- Program in Diagnostic Genetics and Genomics, MD Anderson Cancer Center School of Health Professions, Houston, Texas, USA
| | - Benjamin Strope
- Program in Diagnostic Genetics and Genomics, MD Anderson Cancer Center School of Health Professions, Houston, Texas, USA
| | - Pranoti Sahasrabhojane
- Department of Infectious Diseases, Infection Control, and Employee Health, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Marc Gohel
- Department of Infectious Diseases, Infection Control, and Employee Health, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Samuel Aitken
- Division of Pharmacy, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Sarah Spitznogle
- Division of Pharmacy, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Xiaowei Zhan
- Quantitative Biomedical Research Center, Peter O’Donnell Jr. School of Public Health, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Jiwoong Kim
- Quantitative Biomedical Research Center, Peter O’Donnell Jr. School of Public Health, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - David E. Greenberg
- Department of Microbiology, UT Southwestern, Dallas, Texas, USA
- Department of Internal Medicine, UT Southwestern, Dallas, Texas, USA
| | - Samuel A. Shelburne
- Department of Infectious Diseases, Infection Control, and Employee Health, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| |
Collapse
|
4
|
Baker KS, Jauneikaite E, Hopkins KL, Lo SW, Sánchez-Busó L, Getino M, Howden BP, Holt KE, Musila LA, Hendriksen RS, Amoako DG, Aanensen DM, Okeke IN, Egyir B, Nunn JG, Midega JT, Feasey NA, Peacock SJ. Genomics for public health and international surveillance of antimicrobial resistance. THE LANCET. MICROBE 2023; 4:e1047-e1055. [PMID: 37977162 DOI: 10.1016/s2666-5247(23)00283-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/27/2023] [Revised: 08/16/2023] [Accepted: 08/22/2023] [Indexed: 11/19/2023]
Abstract
Historically, epidemiological investigation and surveillance for bacterial antimicrobial resistance (AMR) has relied on low-resolution isolate-based phenotypic analyses undertaken at local and national reference laboratories. Genomic sequencing has the potential to provide a far more high-resolution picture of AMR evolution and transmission, and is already beginning to revolutionise how public health surveillance networks monitor and tackle bacterial AMR. However, the routine integration of genomics in surveillance pipelines still has considerable barriers to overcome. In 2022, a workshop series and online consultation brought together international experts in AMR and pathogen genomics to assess the status of genomic applications for AMR surveillance in a range of settings. Here we focus on discussions around the use of genomics for public health and international AMR surveillance, noting the potential advantages of, and barriers to, implementation, and proposing recommendations from the working group to help to drive the adoption of genomics in public health AMR surveillance. These recommendations include the need to build capacity for genome sequencing and analysis, harmonising and standardising surveillance systems, developing equitable data sharing and governance frameworks, and strengthening interactions and relationships among stakeholders at multiple levels.
Collapse
Affiliation(s)
- Kate S Baker
- Department for Clinical Infection, Microbiology, and Immunology, University of Liverpool, Liverpool, UK; Department of Genetics, University of Cambridge, Cambridge, UK.
| | - Elita Jauneikaite
- Department of Infectious Disease Epidemiology, School of Public Health, Imperial College London, London, UK; NIHR Health Protection Research Unit in Healthcare Associated Infections and Antimicrobial Resistance, Department of Infectious Disease, Imperial College London, Hammersmith Hospital, London, UK
| | - Katie L Hopkins
- HCAI, Fungal, AMR, AMU & Sepsis Division, UK Health Security Agency, London, UK; Antimicrobial Resistance and Healthcare Associated Infections Reference Unit, UK Health Security Agency, London, UK
| | - Stephanie W Lo
- Parasites and Microbes, Wellcome Sanger Institute, Hinxton, UK
| | - Leonor Sánchez-Busó
- Genomics and Health Area, Foundation for the Promotion of Health and Biomedical Research in the Valencian Community (FISABIO-Public Health), Valencia, Spain; CIBERESP, ISCIII, Madrid, Spain
| | - Maria Getino
- NIHR Health Protection Research Unit in Healthcare Associated Infections and Antimicrobial Resistance, Department of Infectious Disease, Imperial College London, Hammersmith Hospital, London, UK
| | - Benjamin P Howden
- The Centre for Pathogen Genomics, Doherty Institute, The University of Melbourne, Melbourne, VIC, Australia
| | - Kathryn E Holt
- Department of Infection Biology, London School of Hygiene & Tropical Medicine, London, UK; Department of Infectious Diseases, Central Clinical School, Monash University, Melbourne, VIC, Australia
| | - Lillian A Musila
- Department of Emerging Infectious Diseases, United States Army Medical Research Directorate - Africa, Nairobi, Kenya; Kenya Medical Research Institute, Nairobi, Kenya
| | - Rene S Hendriksen
- National Food Institute, Technical University of Denmark, Lyngby, Denmark
| | - Daniel G Amoako
- Centre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases, Johannesburg, South Africa; School of Health Sciences, University of KwaZulu-Natal, Durban, South Africa; Department of Pathobiology, University of Guelph, Guelph, ON, Canada
| | - David M Aanensen
- Centre for Genomic Pathogen Surveillance, Nuffield Department of Medicine, University of Oxford, Big Data Institute, Oxford, UK
| | - Iruka N Okeke
- Department of Pharmaceutical Microbiology, Faculty of Pharmacy, University of Ibadan, Ibadan, Oyo State, Nigeria
| | - Beverly Egyir
- Department of Bacteriology, Noguchi Memorial Institute for Medical Research, University of Ghana, Legon-Accra, Ghana, West Africa
| | - Jamie G Nunn
- Infectious Disease Challenge Area, Wellcome Trust, London, UK
| | | | - Nicholas A Feasey
- Clinical Sciences, Liverpool School of Tropical Medicine, Liverpool, UK; Malawi Liverpool Wellcome Research Programme, Malawi
| | | |
Collapse
|
5
|
Tran M, Smurthwaite KS, Nghiem S, Cribb DM, Zahedi A, Ferdinand AD, Andersson P, Kirk MD, Glass K, Lancsar E. Economic evaluations of whole-genome sequencing for pathogen identification in public health surveillance and health-care-associated infections: a systematic review. THE LANCET. MICROBE 2023; 4:e953-e962. [PMID: 37683688 DOI: 10.1016/s2666-5247(23)00180-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/01/2023] [Revised: 05/31/2023] [Accepted: 06/05/2023] [Indexed: 09/10/2023]
Abstract
Whole-genome sequencing (WGS) has resulted in improvements to pathogen characterisation for the rapid investigation and management of disease outbreaks and surveillance. We conducted a systematic review to synthesise the economic evidence of WGS implementation for pathogen identification and surveillance. Of the 2285 unique publications identified through online database searches, 19 studies met the inclusion criteria. The economic evidence to support the broader application of WGS as a front-line pathogen characterisation and surveillance tool is insufficient and of low quality. WGS has been evaluated in various clinical settings, but these evaluations are predominantly investigations of a single pathogen. There are also considerable variations in the evaluation approach. Economic evaluations of costs, effectiveness, and cost-effectiveness are needed to support the implementation of WGS in public health settings.
Collapse
Affiliation(s)
- My Tran
- National Centre for Epidemiology and Population Health, Australian National University, Canberra ACT, Australia.
| | - Kayla S Smurthwaite
- National Centre for Epidemiology and Population Health, Australian National University, Canberra ACT, Australia
| | - Son Nghiem
- National Centre for Epidemiology and Population Health, Australian National University, Canberra ACT, Australia
| | - Danielle M Cribb
- National Centre for Epidemiology and Population Health, Australian National University, Canberra ACT, Australia
| | - Alireza Zahedi
- Public Health Microbiology, Forensic and Scientific Services, Queensland Health, Brisbane QLD, Australia
| | - Angeline D Ferdinand
- Microbiological Diagnostic Unit, Peter Doherty Institute, University of Melbourne, Melbourne VIC, Australia
| | - Patiyan Andersson
- Microbiological Diagnostic Unit, Peter Doherty Institute, University of Melbourne, Melbourne VIC, Australia
| | - Martyn D Kirk
- National Centre for Epidemiology and Population Health, Australian National University, Canberra ACT, Australia
| | - Kathryn Glass
- National Centre for Epidemiology and Population Health, Australian National University, Canberra ACT, Australia
| | - Emily Lancsar
- National Centre for Epidemiology and Population Health, Australian National University, Canberra ACT, Australia
| |
Collapse
|
6
|
Sharma S, Pannu J, Chorlton S, Swett JL, Ecker DJ. Threat Net: A Metagenomic Surveillance Network for Biothreat Detection and Early Warning. Health Secur 2023; 21:347-357. [PMID: 37367195 DOI: 10.1089/hs.2022.0160] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/28/2023] Open
Abstract
Early detection of novel pathogens can prevent or substantially mitigate biological incidents, including pandemics. Metagenomic next-generation sequencing (mNGS) of symptomatic clinical samples may enable detection early enough to contain outbreaks, limit international spread, and expedite countermeasure development. In this article, we propose a clinical mNGS architecture we call "Threat Net," which focuses on the hospital emergency department as a high-yield surveillance location. We develop a susceptible-exposed-infected-removed (SEIR) simulation model to estimate the effectiveness of Threat Net in detecting novel respiratory pathogen outbreaks. Our analysis serves to quantify the value of routine clinical mNGS for respiratory pandemic detection by estimating the cost and epidemiological effectiveness at differing degrees of hospital coverage across the United States. We estimate that a biological threat detection network such as Threat Net could be deployed across hospitals covering 30% of the population in the United States. Threat Net would cost between $400 million and $800 million annually and have a 95% chance of detecting a novel respiratory pathogen with traits of SARS-CoV-2 after 10 emergency department presentations and 79 infections across the United States. Our analyses suggest that implementing Threat Net could help prevent or substantially mitigate the spread of a respiratory pandemic pathogen in the United States.
Collapse
Affiliation(s)
- Siddhanth Sharma
- Siddhanth Sharma, MD MPH, is a Public Health Registrar, Metropolitan Communicable Disease Control, Perth, Australia
| | - Jaspreet Pannu
- Jaspreet Pannu, MD, is a Resident Physician, Department of Medicine, Stanford University School of Medicine, Stanford, CA. Johns Hopkins Center for Health Security, Baltimore, MD
| | - Sam Chorlton
- Sam Chorlton, MD, D(ABMM), is Chief Executive Officer, BugSeq Bioinformatics, Vancouver, Canada
| | - Jacob L Swett
- Jacob L. Swett, DPhil, is Cofounder, altLabs, Inc., Berkeley, CA
| | - David J Ecker
- David J. Ecker, PhD, is Vice President of Strategic Innovation, Ionis Pharmaceuticals, Carlsbad, CA
| |
Collapse
|
7
|
Panca M, Blackstone J, Stirrup O, Cutino-Moguel MT, Thomson E, Peters C, Snell LB, Nebbia G, Holmes A, Chawla A, Machin N, Taha Y, Mahungu T, Saluja T, de Silva TI, Saeed K, Pope C, Shin GY, Williams R, Darby A, Smith DL, Loose M, Robson SC, Laing K, Partridge DG, Price JR, Breuer J. Evaluating the cost implications of integrating SARS-CoV-2 genome sequencing for infection prevention and control investigation of nosocomial transmission within hospitals. J Hosp Infect 2023; 139:23-32. [PMID: 37308063 PMCID: PMC10257337 DOI: 10.1016/j.jhin.2023.06.005] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2023] [Revised: 05/30/2023] [Accepted: 06/01/2023] [Indexed: 06/14/2023]
Abstract
BACKGROUND The COG-UK hospital-onset COVID-19 infection (HOCI) trial evaluated the impact of SARS-CoV-2 whole-genome sequencing (WGS) on acute infection, prevention, and control (IPC) investigation of nosocomial transmission within hospitals. AIM To estimate the cost implications of using the information from the sequencing reporting tool (SRT), used to determine likelihood of nosocomial infection in IPC practice. METHODS A micro-costing approach for SARS-CoV-2 WGS was conducted. Data on IPC management resource use and costs were collected from interviews with IPC teams from 14 participating sites and used to assign cost estimates for IPC activities as collected in the trial. Activities included IPC-specific actions following a suspicion of healthcare-associated infection (HAI) or outbreak, as well as changes to practice following the return of data via SRT. FINDINGS The mean per-sample costs of SARS-CoV-2 sequencing were estimated at £77.10 for rapid and £66.94 for longer turnaround phases. Over the three-month interventional phases, the total management costs of IPC-defined HAIs and outbreak events across the sites were estimated at £225,070 and £416,447, respectively. The main cost drivers were bed-days lost due to ward closures because of outbreaks, followed by outbreak meetings and bed-days lost due to cohorting contacts. Actioning SRTs, the cost of HAIs increased by £5,178 due to unidentified cases and the cost of outbreaks decreased by £11,246 as SRTs excluded hospital outbreaks. CONCLUSION Although SARS-CoV-2 WGS adds to the total IPC management cost, additional information provided could balance out the additional cost, depending on identified design improvements and effective deployment.
Collapse
Affiliation(s)
- M Panca
- Comprehensive Clinical Trials Unit, Institute of Clinical Trials and Methodology, UCL, London, UK.
| | - J Blackstone
- Comprehensive Clinical Trials Unit, Institute of Clinical Trials and Methodology, UCL, London, UK
| | - O Stirrup
- Institute for Global Health, UCL, London, UK
| | | | - E Thomson
- MRC-University of Glasgow Centre for Virus Research, Glasgow, UK
| | - C Peters
- NHS Greater Glasgow and Clyde, Glasgow, UK
| | - L B Snell
- Guy's and St Thomas' Hospital NHS Foundation Trust, London, UK
| | - G Nebbia
- Guy's and St Thomas' Hospital NHS Foundation Trust, London, UK
| | - A Holmes
- Imperial College Healthcare NHS Trust, London, UK
| | - A Chawla
- Liverpool University Hospitals NHS Foundation Trust, Liverpool, UK
| | - N Machin
- Manchester University NHS Foundation Trust, Manchester, UK
| | - Y Taha
- Departments of Virology and Infectious Diseases, Newcastle upon Tyne Hospitals NHS Foundation Trust, Newcastle, UK
| | - T Mahungu
- Royal Free NHS Foundation Trust, London, UK
| | - T Saluja
- Sandwell and West Birmingham NHS Trust, UK
| | - T I de Silva
- Department of Infection, Immunity and Cardiovascular Disease, Medical School, The University of Sheffield, Sheffield, UK
| | - K Saeed
- University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - C Pope
- St George's University Hospitals NHS Foundation Trust, London, UK; Institute for Infection and Immunity, St George's University of London, London, UK
| | - G Y Shin
- University College London Hospitals NHS Foundation Trust, London, UK
| | - R Williams
- Department of Genetics & Genomic Medicine, UCL Great Ormond Street Institute of Child Health, UCL, London, UK
| | - A Darby
- Centre for Genomic Research, University of Liverpool, Liverpool, UK
| | - D L Smith
- Department of Applied Sciences, Northumbria University, Newcastle, UK
| | - M Loose
- School of Life Sciences, University of Nottingham, Nottingham, UK
| | - S C Robson
- Centre for Enzyme Innovation & School of Pharmacy and Biomedical Science, University of Portsmouth, Portsmouth, UK
| | - K Laing
- Institute for Infection and Immunity, St George's University of London, London, UK
| | - D G Partridge
- Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, UK
| | - J R Price
- Imperial College Healthcare NHS Trust, London, UK
| | - J Breuer
- Department of Infection, Immunity and Inflammation, Great Ormond Street Institute of Child Health, UCL, London, UK
| |
Collapse
|
8
|
Vereecke N, Woźniak A, Pauwels M, Coppens S, Nauwynck H, Cybulski P, Theuns S, Stadejek T. Successful Whole Genome Nanopore Sequencing of Swine Influenza A Virus (swIAV) Directly from Oral Fluids Collected in Polish Pig Herds. Viruses 2023; 15:v15020435. [PMID: 36851649 PMCID: PMC9962634 DOI: 10.3390/v15020435] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2022] [Revised: 01/20/2023] [Accepted: 01/31/2023] [Indexed: 02/09/2023] Open
Abstract
Influenza A virus (IAV) is a single-stranded, negative-sense RNA virus and a common cause of seasonal flu in humans. Its genome comprises eight RNA segments that facilitate reassortment, resulting in a great variety of IAV strains. To study these processes, the genetic code of each segment should be unraveled. Fortunately, new third-generation sequencing approaches allow for cost-efficient sequencing of IAV segments. Sequencing success depends on various factors, including proper sample storage and processing. Hence, this work focused on the effect of storage of oral fluids and swIAV sequencing. Oral fluids (n = 13) from 2017 were stored at -22 °C and later transferred to -80 °C. Other samples (n = 21) were immediately stored at -80 °C. A reverse transcription quantitative PCR (RT-qPCR) pre- and post-storage was conducted to assess IAV viral loads. Next, samples were subjected to two IAV long-read nanopore sequencing methods to evaluate success in this complex matrix. A significant storage-associated loss of swIAV loads was observed. Still, a total of 17 complete and 6 near-complete Polish swIAV genomes were obtained. Genotype T, (H1avN2, seven herds), P (H1N1pdm09, two herds), U (H1avN1, three herds), and A (H1avN1, 1 herd) were circulated on Polish farms. In conclusion, oral fluids can be used for long-read swIAV sequencing when considering appropriate storage and segment amplification protocols, which allows us to monitor swIAV in an animal-friendly and cost-efficient manner.
Collapse
Affiliation(s)
- Nick Vereecke
- Laboratory of Virology, Faculty of Veterinary Medicine, Ghent University, 9820 Merelbeke, Belgium
- PathoSense BV, 2500 Lier, Belgium
- Correspondence: (N.V.); (A.W.); (T.S.)
| | - Aleksandra Woźniak
- Department of Pathology and Veterinary Diagnostic, Institute of Veterinary Medicine, Warsaw University of Life Sciences-SGGW, 02-776 Warsaw, Poland
- Correspondence: (N.V.); (A.W.); (T.S.)
| | | | | | - Hans Nauwynck
- Laboratory of Virology, Faculty of Veterinary Medicine, Ghent University, 9820 Merelbeke, Belgium
- PathoSense BV, 2500 Lier, Belgium
| | - Piotr Cybulski
- Goodvalley Agro S.A., Dworcowa 25, 77-320 Przechlewo, Poland
| | - Sebastiaan Theuns
- Laboratory of Virology, Faculty of Veterinary Medicine, Ghent University, 9820 Merelbeke, Belgium
- PathoSense BV, 2500 Lier, Belgium
| | - Tomasz Stadejek
- Department of Pathology and Veterinary Diagnostic, Institute of Veterinary Medicine, Warsaw University of Life Sciences-SGGW, 02-776 Warsaw, Poland
- Correspondence: (N.V.); (A.W.); (T.S.)
| |
Collapse
|
9
|
Price V, Ngwira LG, Lewis JM, Baker KS, Peacock SJ, Jauneikaite E, Feasey N. A systematic review of economic evaluations of whole-genome sequencing for the surveillance of bacterial pathogens. Microb Genom 2023; 9:mgen000947. [PMID: 36790430 PMCID: PMC9997737 DOI: 10.1099/mgen.0.000947] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2022] [Accepted: 12/07/2022] [Indexed: 02/16/2023] Open
Abstract
Whole-genome sequencing (WGS) has unparalleled ability to distinguish between bacteria, with many public health applications. The generation and analysis of WGS data require significant financial investment. We describe a systematic review summarizing economic analyses of genomic surveillance of bacterial pathogens, reviewing the evidence for economic viability. The protocol was registered on PROSPERO (CRD42021289030). Six databases were searched on 8 November 2021 using terms related to 'WGS', 'population surveillance' and 'economic analysis'. Quality was assessed with the Drummond-Jefferson checklist. Following data extraction, a narrative synthesis approach was taken. Six hundred and eighty-one articles were identified, of which 49 proceeded to full-text screening, with 9 selected for inclusion. All had been published since 2019. Heterogeneity was high. Five studies assessed WGS for hospital surveillance and four analysed foodborne pathogens. Four were cost-benefit analyses, one was a cost-utility analysis, one was a cost-effectiveness analysis, one was a combined cost-effectiveness and cost-utility analysis, one combined cost-effectiveness and cost-benefit analyses and one was a partial analysis. All studies supported the use of WGS as a surveillance tool on economic grounds. The available evidence supports the use of WGS for pathogen surveillance but is limited by marked heterogeneity. Further work should include analysis relevant to low- and middle-income countries and should use real-world effectiveness data.
Collapse
Affiliation(s)
| | | | - Joseph M. Lewis
- University of Liverpool, Liverpool, UK
- Liverpool School of Tropical Medicine, Liverpool, UK
| | | | | | | | | |
Collapse
|
10
|
Calero-Cáceres W, Ortuño-Gutiérrez N, Sunyoto T, Gomes-Dias CA, Bastidas-Caldes C, Ramírez MS, Harries AD. Whole-genome sequencing for surveillance of antimicrobial resistance in Ecuador: present and future implications. Rev Panam Salud Publica 2023; 47:e8. [PMID: 37082537 PMCID: PMC10105595 DOI: 10.26633/rpsp.2023.8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2022] [Accepted: 09/30/2022] [Indexed: 04/22/2023] Open
Abstract
Whole-genome sequencing is becoming the gold standard for pathogen characterization and offers considerable advantages for understanding the evolution and dissemination of new determinants of antimicrobial resistance. Despite the benefits of whole-genome sequencing for pathogen characterization, implementation costs and lack of expertise may limit its use by public health laboratories. This article reviews the advantages of whole-genome sequencing for pathogen characterization and the current status of the use of whole-genome sequencing for antimicrobial resistance surveillance in Ecuador. A roadmap is suggested for including whole-genome sequencing for pathogen characterization based on the needs of the health reference institutions through alliances with Ecuadorian universities. Establishing a partnership between public health institutions and academia would be valuable for clinicians, policy-makers, and epidemiologists who could then take reasonable measures in those areas and establish a basis for adapting One Health strategies to tackle antimicrobial resistance in Ecuador.
Collapse
Affiliation(s)
- William Calero-Cáceres
- UTA-RAM One HealthDepartment of Food and Biotechnology Science and EngineeringUniversidad Técnica de AmbatoAmbatoEcuadorUTA-RAM One Health, Department of Food and Biotechnology Science and Engineering, Universidad Técnica de Ambato, Ambato, Ecuador.
- William Calero-Cáceres,
| | | | - Temmy Sunyoto
- MSF OCB Luxembourg Operational Research (LuxOR) UnitLuxembourgLuxembourgMSF OCB Luxembourg Operational Research (LuxOR) Unit, Luxembourg, Luxembourg.
| | - Cícero-Armídio Gomes-Dias
- Department of Basic Health SciencesFederal University of Health Sciences of Porto AlegrePorto AlegreBrazilDepartment of Basic Health Sciences, Federal University of Health Sciences of Porto Alegre, Porto Alegre, Brazil.
| | - Carlos Bastidas-Caldes
- Faculty of Engineering and Applied SciencesUniversidad de las AméricasQuitoEcuadorFaculty of Engineering and Applied Sciences, Universidad de las Américas, Quito, Ecuador.
| | - Ma. Soledad Ramírez
- Department of Biological ScienceCollege of Natural Sciences and MathematicsCalifornia State University FullertonFullertonUSADepartment of Biological Science, College of Natural Sciences and Mathematics, California State University Fullerton, Fullerton, USA.
| | - Anthony D. Harries
- International Union Against Tuberculosis and Lung DiseaseParisFranceInternational Union Against Tuberculosis and Lung Disease, Paris, France.
| |
Collapse
|
11
|
Glass-Kaastra S, Dougherty B, Nesbitt A, Viswanathan M, Ciampa N, Parker S, Nadon C, MacDonald D, Thomas MK. Estimated Reduction in the Burden of Nontyphoidal Salmonella Illness in Canada Circa 2019. Foodborne Pathog Dis 2022; 19:744-749. [PMID: 36367549 PMCID: PMC9700335 DOI: 10.1089/fpd.2022.0045] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Nontyphoidal Salmonella (NTS) is a leading cause of acute gastrointestinal illness in Canada, and reported cases have been on the rise since the early 2000s. To address this trend, agri-food industry partners and government have worked to identify and implement interventions, guided by the enhanced information provided by whole-genome sequencing, to reduce the incidence of NTS. A substantial reduction in the number of NTS cases reported occurred in 2019. Due to underreporting and underdiagnosis factors, the observed decrease in the number of reported cases represents a fraction of the true number of illnesses averted in the community. The objective of this study was to: (1) use burden of illness estimation methodologies to estimate the true number of NTS illnesses, hospitalizations, and deaths prevented, and (2) estimate the economic savings associated with the prevention of these cases. Compared with the previous 5 years, there were an estimated 25,821 fewer illnesses, 213 fewer hospitalizations, and 2 fewer deaths attributable to NTS in 2019. This corresponds to an estimated reduction of 26.9 million Canadian dollars in the economic burden of NTS. Although causality cannot be proven by this study, the findings are suggestive that the strategically implemented suite of public health actions, including genomic-based surveillance, policy changes, and interventions by the government and industry, were successful in reducing the economic and health burden of NTS infections in Canada.
Collapse
Affiliation(s)
- Shiona Glass-Kaastra
- Public Health Agency of Canada, Centre for Food-borne, Environmental & Zoonotic Infectious Diseases, Food-borne Disease and Antimicrobial Resistance Surveillance Division, Guelph, Canada
| | - Brendan Dougherty
- Public Health Agency of Canada, Centre for Food-borne, Environmental & Zoonotic Infectious Diseases, Food-borne Disease and Antimicrobial Resistance Surveillance Division, Guelph, Canada.,Address correspondence to: Brendan Dougherty, BSc, MPH, Food-Borne Disease and Antimicrobial Resistance Surveillance Division, Centre for Food-Borne, Environmental and Zoonotic Infectious Diseases, Public Health Agency of Canada, 370 Speedvale Avenue West, Guelph, ON N1H7M7, Canada
| | - Andrea Nesbitt
- Public Health Agency of Canada, Centre for Food-borne, Environmental & Zoonotic Infectious Diseases, Food-borne Disease and Antimicrobial Resistance Surveillance Division, Guelph, Canada
| | - Mythri Viswanathan
- Public Health Agency of Canada, Centre for Food-borne, Environmental & Zoonotic Infectious Diseases, Food-borne Disease and Antimicrobial Resistance Surveillance Division, Guelph, Canada
| | - Nadia Ciampa
- Public Health Agency of Canada, Centre for Food-borne, Environmental & Zoonotic Infectious Diseases, Food-borne Disease and Antimicrobial Resistance Surveillance Division, Guelph, Canada
| | - Stephen Parker
- Public Health Agency of Canada, Centre for Food-borne, Environmental & Zoonotic Infectious Diseases, Food-borne Disease and Antimicrobial Resistance Surveillance Division, Guelph, Canada
| | - Celine Nadon
- Public Health Agency of Canada, National Microbiology Laboratory, Division of Enteric Diseases, Winnipeg, Canada
| | - Diane MacDonald
- Public Health Agency of Canada, Centre for Food-borne, Environmental & Zoonotic Infectious Diseases, Outbreak Management Division, Ottawa, Canada
| | - M. Kate Thomas
- Public Health Agency of Canada, Centre for Food-borne, Environmental & Zoonotic Infectious Diseases, Food-borne Disease and Antimicrobial Resistance Surveillance Division, Guelph, Canada
| |
Collapse
|
12
|
Nadon C, Croxen M, Knox N, Tanner J, Zetner A, Yoshida C, Van Domselaar G. Public health genomics capacity assessment: readiness for large-scale pathogen genomic surveillance in Canada’s public health laboratories. BMC Public Health 2022; 22:1817. [PMID: 36153510 PMCID: PMC9508744 DOI: 10.1186/s12889-022-14210-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2022] [Accepted: 09/13/2022] [Indexed: 11/10/2022] Open
Abstract
Background Along with rapid diagnostic testing, contact tracing, and public health measures, an effective pandemic response incorporates genomics-based surveillance. Large-scale SARS-CoV-2 genome sequencing is a crucial component of the global response to COVID-19. Characterizing the state of genomics readiness among Canada’s public health laboratories was necessary to inform strategic planning and deployment of capacity-building resources in the early stages of the pandemic. Methods We used a qualitative study design and focus group discussions, encompassing both technical and leadership perspectives, to perform an in-depth evaluation of the state of pathogen genomics readiness in Canada. Results We found substantial diversity in the state of readiness for SARS-CoV-2 genomic surveillance across Canada. Despite this variability, we identified common barriers and needs in the areas of specimen access, data flow and sharing, computing infrastructure, and access to highly qualified bioinformatics personnel. Conclusions These findings enable the strategic prioritization and deployment of resources to increase Canada’s ability to perform effective public health genomic surveillance for COVID-19 and prepare for future emerging infectious diseases. They also provide a unique qualitative research model for use in capacity building. Supplementary Information The online version contains supplementary material available at 10.1186/s12889-022-14210-9.
Collapse
|
13
|
Nieuwenhuijse DF, van der Linden A, Kohl RHG, Sikkema RS, Koopmans MPG, Oude Munnink BB. Towards reliable whole genome sequencing for outbreak preparedness and response. BMC Genomics 2022; 23:569. [PMID: 35945497 PMCID: PMC9361258 DOI: 10.1186/s12864-022-08749-5] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2021] [Accepted: 07/08/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND To understand the dynamics of infectious diseases, genomic epidemiology is increasingly advocated, with a need for rapid generation of genetic sequences during outbreaks for public health decision making. Here, we explore the use of metagenomic sequencing compared to specific amplicon- and capture-based sequencing, both on the Nanopore and the Illumina platform for generation of whole genomes of Usutu virus, Zika virus, West Nile virus, and Yellow Fever virus. RESULTS We show that amplicon-based Nanopore sequencing can be used to rapidly obtain whole genome sequences in samples with a viral load up to Ct 33 and capture-based Illumina is the most sensitive method for initial virus determination. CONCLUSIONS The choice of sequencing approach and platform is important for laboratories wishing to start whole genome sequencing. Depending on the purpose of genome sequencing the best choice can differ. The insights presented in this work and the shown differences in data characteristics can guide labs to make a well informed choice.
Collapse
Affiliation(s)
| | | | - Robert H G Kohl
- Departement of Virology of the Vaccination Programme, RIVM, Bilthoven, the Netherlands
| | - Reina S Sikkema
- Viroscience Department, Erasmus Medical Center, Rotterdam, the Netherlands
| | | | - Bas B Oude Munnink
- Viroscience Department, Erasmus Medical Center, Rotterdam, the Netherlands.
| |
Collapse
|
14
|
Davedow T, Carleton H, Kubota K, Palm D, Schroeder M, Gerner-Smidt P, Al-Jardani A, Chinen I, Kam KM, Smith AM, Nadon C. PulseNet International Survey on the Implementation of Whole Genome Sequencing in Low and Middle-Income Countries for Foodborne Disease Surveillance. Foodborne Pathog Dis 2022; 19:332-340. [PMID: 35325576 PMCID: PMC10863729 DOI: 10.1089/fpd.2021.0110] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
PulseNet International (PNI) is a global network of 88 countries who work together through their regional and national public health laboratories to track foodborne disease around the world. The vision of PNI is to implement globally standardized surveillance using whole genome sequencing (WGS) for real-time identification and subtyping of foodborne pathogens to strengthen preparedness and response and lower the burden of disease. Several countries in North America and Europe have experienced significant benefits in disease mitigation after implementing WGS. To broaden the routine use of WGS around the world, challenges and barriers must be overcome. We conducted this study to determine the challenges and barriers countries are encountering in their attempts to implement WGS and to identify how PNI can provide support to improve and become a better integrated system overall. A survey was designed with a set of qualitative questions to capture the status, challenges, barriers, and successes of countries in the implementation of WGS and was administered to laboratories in Africa, Asia-Pacific, Latin America and the Caribbean, and Middle East. One-third of respondents do not use WGS, and only 8% reported using WGS for routine, real-time surveillance. The main barriers for implementation of WGS were lack of funding, gaps in expertise, and training, especially for data analysis and interpretation. Features of an ideal system to facilitate implementation and global surveillance were identified as an all-in-one software that is free, accessible, standardized and validated. This survey highlights the minimal use of WGS for foodborne disease surveillance outside the United States, Canada, and Europe to date. Although funding remains a major barrier to WGS-based surveillance, critical gaps in expertise and availability of tools must be overcome. Opportunities to seek sustainable funding, provide training, and identify solutions for a globally standardized surveillance platform will accelerate implementation of WGS worldwide.
Collapse
Affiliation(s)
- Taylor Davedow
- Division of Enteric Diseases, Public Health Agency of Canada, National Microbiology Laboratory, Winnipeg, Canada
- Department of Medical Microbiology and Infectious Diseases, Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, Canada
| | - Heather Carleton
- Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Kristy Kubota
- Association of Public Health Laboratories, Silver Spring, Maryland, USA
| | - Daniel Palm
- European Centre for Disease Prevention and Control, Stockholm, Sweden
| | - Morgan Schroeder
- Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | | | - Amina Al-Jardani
- Central Public Health Laboratories, Ministry of Health, Muscat, Oman
| | - Isabel Chinen
- Instituto Nacional de Enfermedades Infecciosas, Administracion Nacional del Laboratorios et Institutos de Salud "Dr. Carlos G. Malbrán," Ciudad Autónoma de Buenos Aires, Buenos Aires, Argentina
| | - Kai Man Kam
- Stanley Ho Centre for Emerging Infectious Diseases, School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Anthony M Smith
- National Institute for Communicable Diseases, Johannesburg, South Africa
- Department of Medical Microbiology, School of Medicine, Faculty of Health Sciences, University of Pretoria, Pretoria, South Africa
| | - Celine Nadon
- Division of Enteric Diseases, Public Health Agency of Canada, National Microbiology Laboratory, Winnipeg, Canada
- Department of Medical Microbiology and Infectious Diseases, Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, Canada
| |
Collapse
|
15
|
Zhang C, Owen LA, Lillvis JH, Zhang SX, Kim IK, DeAngelis MM. AMD Genomics: Non-Coding RNAs as Biomarkers and Therapeutic Targets. J Clin Med 2022; 11:jcm11061484. [PMID: 35329812 PMCID: PMC8954267 DOI: 10.3390/jcm11061484] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2022] [Revised: 02/22/2022] [Accepted: 03/01/2022] [Indexed: 12/04/2022] Open
Abstract
Age-related macular degeneration (AMD) is a progressive neurodegenerative disease that is the world’s leading cause of blindness in the aging population. Although the clinical stages and forms of AMD have been elucidated, more specific prognostic tools are required to determine when patients with early and intermediate AMD will progress into the advanced stages of AMD. Another challenge in the field has been the appropriate development of therapies for intermediate AMD and advanced atrophic AMD. After numerous negative clinical trials, an anti-C5 agent and anti-C3 agent have recently shown promising results in phase 3 clinical trials, in terms of slowing the growth of geographic atrophy, an advanced form of AMD. Interestingly, both drugs appear to be associated with an increased incidence of wet AMD, another advanced form of the disease, and will require frequent intravitreal injections. Certainly, there remains a need for other therapeutic agents with the potential to prevent progression to advanced stages of the disease. Investigation of the role and clinical utility of non-coding RNAs (ncRNAs) is a major advancement in biology that has only been minimally applied to AMD. In the following review, we discuss the clinical relevance of ncRNAs in AMD as both biomarkers and therapeutic targets.
Collapse
Affiliation(s)
- Charles Zhang
- Department of Ophthalmology, Ross Eye Institute, Jacobs School of Medicine and Biomedical Sciences, State University of New York, University at Buffalo, Buffalo, NY 14203, USA; (C.Z.); (L.A.O.); (J.H.L.); (S.X.Z.)
| | - Leah A. Owen
- Department of Ophthalmology, Ross Eye Institute, Jacobs School of Medicine and Biomedical Sciences, State University of New York, University at Buffalo, Buffalo, NY 14203, USA; (C.Z.); (L.A.O.); (J.H.L.); (S.X.Z.)
- Department of Ophthalmology and Visual Sciences, University of Utah School of Medicine, The University of Utah, Salt Lake City, UT 84132, USA
- Department of Population Health Sciences, University of Utah School of Medicine, The University of Utah, Salt Lake City, UT 84132, USA
- Department of Obstetrics and Gynecology, University of Utah School of Medicine, The University of Utah, Salt Lake City, UT 84132, USA
| | - John H. Lillvis
- Department of Ophthalmology, Ross Eye Institute, Jacobs School of Medicine and Biomedical Sciences, State University of New York, University at Buffalo, Buffalo, NY 14203, USA; (C.Z.); (L.A.O.); (J.H.L.); (S.X.Z.)
- Veterans Administration Western New York Healthcare System, Buffalo, NY 14212, USA
| | - Sarah X. Zhang
- Department of Ophthalmology, Ross Eye Institute, Jacobs School of Medicine and Biomedical Sciences, State University of New York, University at Buffalo, Buffalo, NY 14203, USA; (C.Z.); (L.A.O.); (J.H.L.); (S.X.Z.)
- Department of Biochemistry, Jacobs School of Medicine and Biomedical Sciences, State University of New York, University at Buffalo, Buffalo, NY 14203, USA
- Neuroscience Graduate Program, Jacobs School of Medicine and Biomedical Sciences, State University of New York, University at Buffalo, Buffalo, NY 14203, USA
| | - Ivana K. Kim
- Retina Service, Massachusetts Eye & Ear, Department of Ophthalmology, Harvard Medical School, Boston, MA 02114, USA
- Correspondence: (I.K.K.); (M.M.D.)
| | - Margaret M. DeAngelis
- Department of Ophthalmology, Ross Eye Institute, Jacobs School of Medicine and Biomedical Sciences, State University of New York, University at Buffalo, Buffalo, NY 14203, USA; (C.Z.); (L.A.O.); (J.H.L.); (S.X.Z.)
- Department of Ophthalmology and Visual Sciences, University of Utah School of Medicine, The University of Utah, Salt Lake City, UT 84132, USA
- Department of Population Health Sciences, University of Utah School of Medicine, The University of Utah, Salt Lake City, UT 84132, USA
- Veterans Administration Western New York Healthcare System, Buffalo, NY 14212, USA
- Department of Biochemistry, Jacobs School of Medicine and Biomedical Sciences, State University of New York, University at Buffalo, Buffalo, NY 14203, USA
- Neuroscience Graduate Program, Jacobs School of Medicine and Biomedical Sciences, State University of New York, University at Buffalo, Buffalo, NY 14203, USA
- Genetics, Genomics and Bioinformatics Graduate Program, Jacobs School of Medicine and Biomedical Sciences, State University of New York, University at Buffalo, Buffalo, NY 14203, USA
- Correspondence: (I.K.K.); (M.M.D.)
| |
Collapse
|
16
|
Chauhan RP, Gordon ML. Review of genome sequencing technologies in molecular characterization of influenza A viruses in swine. J Vet Diagn Invest 2022; 34:177-189. [PMID: 35037523 PMCID: PMC8921814 DOI: 10.1177/10406387211068023] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023] Open
Abstract
The rapidly evolving antigenic diversity of influenza A virus (IAV) genomes in swine makes it imperative to detect emerging novel strains and track their circulation. We analyzed in our review the sequencing technologies used for subtyping and characterizing swine IAV genomes. Google Scholar, PubMed, and International Nucleotide Sequence Database Collaboration (INSDC) database searches identified 216 studies that have utilized Sanger, second-, and third-generation sequencing techniques to subtype and characterize swine IAV genomes up to 31 March 2021. Sanger dideoxy sequencing was by far the most widely used sequencing technique for generating either full-length (43.0%) or partial (31.0%) IAV genomes in swine globally; however, in the last decade, other sequencing platforms such as Illumina have emerged as serious competitors for the generation of whole-genome sequences of swine IAVs. Although partial HA and NA gene sequences were sufficient to determine swine IAV subtypes, whole-genome sequences were critical for determining reassortments and identifying unusual or less frequently occurring IAV subtypes. The combination of Sanger and second-generation sequencing technologies also greatly improved swine IAV characterization. In addition, the rapidly evolving third-generation sequencing platform, MinION, appears promising for on-site, real-time sequencing of complete swine IAV genomes. With a higher raw read accuracy, the use of the MinION could enhance the scalability of swine IAV testing in the field and strengthen the swine IAV disease outbreak response.
Collapse
Affiliation(s)
| | - Michelle L. Gordon
- Michelle L. Gordon, School of Laboratory Medicine and Medical Sciences, Nelson R. Mandela School of Medicine, University of KwaZulu-Natal, 719 Umbilo Rd, Durban 4001, South Africa.
| |
Collapse
|
17
|
Gaballa A, Cheng RA, Trmcic A, Kovac J, Kent DJ, Martin NH, Wiedmann M. Development of a database and standardized approach for rpoB sequence-based subtyping and identification of aerobic spore-forming Bacillales. J Microbiol Methods 2021; 191:106350. [PMID: 34710512 DOI: 10.1016/j.mimet.2021.106350] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2021] [Revised: 10/19/2021] [Accepted: 10/22/2021] [Indexed: 10/20/2022]
Abstract
Aerobic spore-forming Bacillales are a highly diverse and ubiquitous group that includes organisms that cause foodborne illnesses and food spoilage. Classical microbiological and biochemical identification of members of the order Bacillales represents a challenge due to the diversity of organisms in this group as well as the fact that the phenotypic-based taxonomic assignment of some named species in this group is not consistent with their phylogenomic characteristics. DNA-sequencing-based tools, on the other hand, can be fast and cost-effective, and can provide for a more reliable identification and characterization of Bacillales isolates. In comparison to 16S rDNA, rpoB was shown to better discriminate between Bacillales isolates and to allow for improved taxonomic assignment to the species level. However, the lack of a publicly accessible rpoB database, as well as the lack of standardized protocols for rpoB-based typing and strain identification, is a major challenge. Here, we report (i) the curation of a DNA sequence database for rpoB-based subtype classification of Bacillales isolates; (ii) the development of standardized protocols for generating rpoB sequence data, and a scheme for rpoB-based initial taxonomic identification of Bacillales isolates at the species level; and (iii) the integration of the database in a publicly accessible online platform that allows for the analysis of rpoB sequence data from uncharacterized Bacillales isolates. Specifically, we curated a database of DNA sequences for a 632-nt internal variable region within the rpoB gene from representative Bacillales reference type strains and a large number of isolates that we have previously isolated and characterized through multiple projects. As of May 21, 2021, the rpoB database contained more than 8350 rpoB sequences representing 1902 distinct rpoB allelic types that can be classified into 160 different genera. The database also includes 1129 rpoB sequences for representative Bacillales reference type strains as available on May 21, 2021 in the NCBI database. The rpoB database is integrated into the online Food Microbe Tracker platform (www.foodmicrobetracker.com) and can be queried using the integrated BLAST tool to initially subtype and taxonomically identify aerobic and facultative anaerobic spore-formers. While whole-genome sequencing is increasingly used in bacterial taxonomy, the rpoB sequence-based identification scheme described here provides a valuable tool as it allows for rapid and cost-effective initial isolate characterization, which can help to identify and characterize foodborne pathogens and food spoilage bacteria. In addition, the database and primers described here can also be adopted for metagenomics approaches that include rpoB as a target, improving discriminatory power and identification over what can be achieved using 16S rDNA as a target.
Collapse
Affiliation(s)
- Ahmed Gaballa
- Department of Food Science, Cornell University, Ithaca, NY 14853, USA.
| | - Rachel A Cheng
- Department of Food Science, Cornell University, Ithaca, NY 14853, USA
| | - Aljosa Trmcic
- Department of Food Science, Cornell University, Ithaca, NY 14853, USA
| | - Jasna Kovac
- Department of Food Science, Cornell University, Ithaca, NY 14853, USA; Department of Food Science, The Pennsylvania State University, University Park, PA 16802, USA
| | - David J Kent
- Department of Food Science, Cornell University, Ithaca, NY 14853, USA
| | - Nicole H Martin
- Department of Food Science, Cornell University, Ithaca, NY 14853, USA
| | - Martin Wiedmann
- Department of Food Science, Cornell University, Ithaca, NY 14853, USA
| |
Collapse
|
18
|
Aarestrup FM, Bonten M, Koopmans M. Pandemics- One Health preparedness for the next. LANCET REGIONAL HEALTH-EUROPE 2021; 9:100210. [PMID: 34642673 PMCID: PMC8495373 DOI: 10.1016/j.lanepe.2021.100210] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
The majority of emerging infectious diseases originate in animals. Current routine surveillance is focused on known diseases and clinical syndromes, but the increasing likelihood of emerging disease outbreaks shows the critical importance of early detection of unusual illness or circulation of pathogens - prior to human disease manifestation. In this Viewpoint, we focus on one key pillar of preparedness—the need for early warning surveillance at the human, animal, environmental interface. The COVID-19 pandemic has revolutionized the scale of sequencing of pathogen genomes, and the current investments in global genomic surveillance offer great potential for a novel, truly integrated Disease X (with epidemic or pandemic potential) surveillance arm provided we do not make the mistake of developing them solely for the case at hand. Generic tools include metagenomic sequencing as a catch-all technique, rather than detection and sequencing protocols focusing on what we know. Developing agnostic or more targeted metagenomic sequencing to assess unusual disease in humans and animals, combined with random sampling of environmental samples capturing pathogen circulation is technically challenging, but could provide a true early warning system. Rather than rebuilding and reinforcing the pre-existing silo's, a real step forward would be to take the lessons learned and bring in novel essential partnerships in a One Health approach to preparedness.
Collapse
Affiliation(s)
| | - Marc Bonten
- Utrecht University Medical Centre, Utrecht, The Netherlands
| | | |
Collapse
|
19
|
Brown B, Allard M, Bazaco MC, Blankenship J, Minor T. An economic evaluation of the Whole Genome Sequencing source tracking program in the U.S. PLoS One 2021; 16:e0258262. [PMID: 34614029 PMCID: PMC8494326 DOI: 10.1371/journal.pone.0258262] [Citation(s) in RCA: 28] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2021] [Accepted: 09/22/2021] [Indexed: 11/20/2022] Open
Abstract
The U.S. Food and Drug Administration (FDA) created the GenomeTrakr Whole Genome Sequencing (WGS) Network in 2013, as a tool to improve food safety. This study presents an analysis of Whole Genome source tracking implementation on potential food contamination and related illnesses through theoretical, empirical, and cost benefit analyses. We conduct empirical tests using data from FDA regulated food commodity outbreaks garnering FDA response from 1999 through 2019 and examine the effect of the National Center for Biotechnology Information (NCBI) Pathogen detection program of source tracking WGS isolates collected in the U.S. on outbreak illnesses for three pilot pathogens (E. coli, Listeria, and Salmonella). Empirical results are consistent with the theoretical model and suggest that each additional 1,000 WGS isolates added to the public NCBI database is associated with a reduction of approximately 6 illnesses per WGS pathogen, per year. Empirical results are connected to existing literature for a Monte Carlo analysis to estimate benefits and costs. By 2019, annual health benefits are estimated at nearly $500 million, compared to an approximately $22 million investment by public health agencies. Even under conservative assumptions, the program likely broke even in its second year of implementation and could produce increasing public health benefits as the GenomeTrakr network matures.
Collapse
Affiliation(s)
- Brad Brown
- United States Food and Drug Administration, Center for Food Safety and Applied Nutrition, College Park, Maryland, United States of America
| | - Marc Allard
- United States Food and Drug Administration, Center for Food Safety and Applied Nutrition, College Park, Maryland, United States of America
| | - Michael C. Bazaco
- United States Food and Drug Administration, Center for Food Safety and Applied Nutrition, College Park, Maryland, United States of America
| | - Joseph Blankenship
- United States Food and Drug Administration, Center for Food Safety and Applied Nutrition, College Park, Maryland, United States of America
| | - Travis Minor
- United States Food and Drug Administration, Center for Food Safety and Applied Nutrition, College Park, Maryland, United States of America
| |
Collapse
|
20
|
de Vries L, Koopmans M, Morton A, van Baal P. The economics of improving global infectious disease surveillance. BMJ Glob Health 2021; 6:bmjgh-2021-006597. [PMID: 34475025 PMCID: PMC8413876 DOI: 10.1136/bmjgh-2021-006597] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2021] [Accepted: 08/19/2021] [Indexed: 11/04/2022] Open
Affiliation(s)
- Linda de Vries
- Department of Health Economics, Erasmus School of Health Policy and Management, Erasmus University Rotterdam, Rotterdam, The Netherlands
| | - Marion Koopmans
- Department of Viroscience, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Alec Morton
- Department of Management Science, Strathclyde Business School, University of Strathclyde, Glasgow, UK
| | - Pieter van Baal
- Department of Health Economics, Erasmus School of Health Policy and Management, Erasmus University Rotterdam, Rotterdam, The Netherlands
| |
Collapse
|
21
|
Van Goethem N, Van Den Bossche A, Ceyssens PJ, Lajot A, Coucke W, Vernelen K, Roosens NHC, De Keersmaecker SCJ, Van Cauteren D, Mattheus W. Coverage of the national surveillance system for human Salmonella infections, Belgium, 2016-2020. PLoS One 2021; 16:e0256820. [PMID: 34437638 PMCID: PMC8389443 DOI: 10.1371/journal.pone.0256820] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2021] [Accepted: 08/16/2021] [Indexed: 12/16/2022] Open
Abstract
Introduction The surveillance of human salmonellosis in Belgium is dependent on the referral of human Salmonella isolates to the National Reference Center (NRC). Knowledge of current diagnostic practices and the coverage of the national Salmonella surveillance system are important to correctly interpret surveillance data and trends over time, to estimate the true burden of salmonellosis in Belgium, and to evaluate the appropriateness of implementing whole-genome sequencing (WGS) at this central level. Methods The coverage of the NRC was defined as the proportion of all diagnosed human Salmonella cases in Belgium reported to the NRC and was assessed for 2019 via a survey among all licensed Belgian medical laboratories in 2019, and for 2016–2020 via a capture-recapture study using the Sentinel Network of Laboratories (SNL) as the external source. In addition, the survey was used to assess the impact of the implementation of culture-independent diagnostic tests (CIDTs) at the level of peripheral laboratory sites, as a potential threat to national public health surveillance programs. Results The coverage of the NRC surveillance system was estimated to be 83% and 85%, based on the results of the survey and on the two-source capture-recapture study, respectively. Further, the results of the survey indicated a limited use of CIDTs by peripheral laboratories in 2019. Conclusion Given the high coverage and the limited impact of CIDTs on the referral of isolates, we may conclude that the NRC can confidently monitor the epidemiological situation and identify outbreaks throughout the country. These findings may guide the decision to implement WGS at the level of the NRC and may improve estimates of the true burden of salmonellosis in Belgium.
Collapse
Affiliation(s)
- Nina Van Goethem
- Scientific Directorate of Epidemiology and Public Health, Sciensano, Brussels, Belgium
- Department of Epidemiology and Biostatistics, Institut de Recherche Expérimentale et Clinique, Faculty of Public Health, Université Catholique de Louvain, Woluwe-Saint-Lambert, Belgium
- * E-mail:
| | - An Van Den Bossche
- National Reference Centre for Salmonella and Shigella, Sciensano, Brussels, Belgium
| | - Pieter-Jan Ceyssens
- National Reference Centre for Salmonella and Shigella, Sciensano, Brussels, Belgium
| | - Adrien Lajot
- Scientific Directorate of Epidemiology and Public Health, Sciensano, Brussels, Belgium
| | - Wim Coucke
- Quality of laboratories, Sciensano, Brussels, Belgium
| | - Kris Vernelen
- Quality of laboratories, Sciensano, Brussels, Belgium
| | | | | | - Dieter Van Cauteren
- Scientific Directorate of Epidemiology and Public Health, Sciensano, Brussels, Belgium
| | - Wesley Mattheus
- National Reference Centre for Salmonella and Shigella, Sciensano, Brussels, Belgium
| |
Collapse
|