1
|
Dickinson MC, Wirth SE, Baker D, Kidney AM, Mitchell KK, Nazarian EJ, Shudt M, Thompson LM, Gubbala Venkata SL, Musser KA, Mingle L. Implementation of a high-throughput whole genome sequencing approach with the goal of maximizing efficiency and cost effectiveness to improve public health. Microbiol Spectr 2024; 12:e0388523. [PMID: 38451098 DOI: 10.1128/spectrum.03885-23] [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: 11/07/2023] [Accepted: 02/20/2024] [Indexed: 03/08/2024] Open
Abstract
This manuscript describes the development of a streamlined, cost-effective laboratory workflow to meet the demands of increased whole genome sequence (WGS) capacity while achieving mandated quality metrics. From 2020 to 2021, the Wadsworth Center Bacteriology Laboratory (WCBL) used a streamlined workflow to sequence 5,743 genomes that contributed sequence data to nine different projects. The combined use of the QIAcube HT, Illumina DNA Prep using quarter volume reactions, and the NextSeq allowed the WCBL to process all samples that required WGS while also achieving a median turn-around time of 7 days (range 4 to 10 days) and meeting minimum sequence quality requirements. Public Health Laboratories should consider implementing these methods to aid in meeting testing requirements within budgetary restrictions. IMPORTANCE Public Health Laboratories that implement whole genome sequencing (WGS) technologies may struggle to find the balance between sample volume and cost effectiveness. We present a method that allows for sequencing of a variety of bacterial isolates in a cost-effective manner. This report provides specific strategies to implement high-volume WGS, including an innovative, low-cost solution utilizing a novel quarter volume sequencing library preparation. The methods described support the use of high-throughput DNA extraction and WGS within budgetary constraints, strengthening public health responses to outbreaks and disease surveillance.
Collapse
Affiliation(s)
- Michelle C Dickinson
- Wadsworth Center, New York State Department of Health (NYSDOH), Division of Infectious Diseases Bacteriology Laboratory, Albany, New York, USA
| | - Samantha E Wirth
- Wadsworth Center, New York State Department of Health (NYSDOH), Division of Infectious Diseases Bacteriology Laboratory, Albany, New York, USA
| | - Deborah Baker
- Wadsworth Center, New York State Department of Health (NYSDOH), Division of Infectious Diseases Bacteriology Laboratory, Albany, New York, USA
| | - Anna M Kidney
- Wadsworth Center, New York State Department of Health (NYSDOH), Division of Infectious Diseases Bacteriology Laboratory, Albany, New York, USA
| | - Kara K Mitchell
- Wadsworth Center, New York State Department of Health (NYSDOH), Division of Infectious Diseases Bacteriology Laboratory, Albany, New York, USA
| | - Elizabeth J Nazarian
- Wadsworth Center, New York State Department of Health (NYSDOH), Division of Infectious Diseases Bacteriology Laboratory, Albany, New York, USA
| | - Matthew Shudt
- Wadsworth Center, New York State Department of Health (NYSDOH), Advanced Genomic Technologies Cluster, Albany, New York, USA
| | - Lisa M Thompson
- Wadsworth Center, New York State Department of Health (NYSDOH), Division of Infectious Diseases Bacteriology Laboratory, Albany, New York, USA
| | - Sai Laxmi Gubbala Venkata
- Wadsworth Center, New York State Department of Health (NYSDOH), Division of Infectious Diseases Bacteriology Laboratory, Albany, New York, USA
| | - Kimberlee A Musser
- Wadsworth Center, New York State Department of Health (NYSDOH), Division of Infectious Diseases Bacteriology Laboratory, Albany, New York, USA
| | - Lisa Mingle
- Wadsworth Center, New York State Department of Health (NYSDOH), Division of Infectious Diseases Bacteriology Laboratory, Albany, New York, USA
| |
Collapse
|
2
|
Worley JN, Crothers JW, Wolfgang WJ, Venkata SLG, Hoffmann M, Jayeola V, Klompas M, Allard M, Bry L. Prospective Genomic Surveillance Reveals Cryptic MRSA Outbreaks with Local to International Origins among NICU Patients. J Clin Microbiol 2023; 61:e0001423. [PMID: 37022157 PMCID: PMC10204624 DOI: 10.1128/jcm.00014-23] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [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: 01/11/2023] [Accepted: 03/19/2023] [Indexed: 04/07/2023] Open
Abstract
Methicillin-resistant Staphylococcus aureus (MRSA) infections cause substantive morbidity and mortality in neonates. Using publicly available resources from the National Center of Biotechnology Information (NCBI) and Food and Drug Administration's (FDA) GalaxyTrakr pipeline, we illustrate the dynamics of MRSA colonization and infection in neonates. Over 217 days of prospective surveillance, analyses revealed concurrent MRSA transmission chains affecting 11 of 17 MRSA-colonized patients (65%), with two clusters that demonstrated intervals of more than a month among the appearance of isolates. All MRSA infected neonates (n = 3) showed previous colonization with the infecting strain. GalaxyTrakr clustering of the NICU strains, in the context of 21,521 international isolates deposited in NCBI's Pathogen Detection Resource, revealed NICU isolates to be distinct from adult MRSA strains seen locally and internationally. Clustering of the NICU strains within an international context enhanced the resolution of strain clusters and supported the rule-out of suspected, local transmission events within the NICU. Analyses also identified sequence type 1535 isolates, emergent in the Middle East, carrying a unique SCCmec with fusC and aac(6')-Ie/aph(2'')-1a that provided a multidrug-resistant phenotype. NICU genomic pathogen surveillance, leveraging public repositories and outbreak detection tools, supports rapid identification of cryptic MRSA clusters, and can inform infection prevention interventions for this vulnerable patient population. Results demonstrate that sporadic infections in the NICU may be indicative of hidden chains of asymptomatic transmission best identified with sequenced-based approaches.
Collapse
Affiliation(s)
- Jay N. Worley
- Massachusetts Host-Microbiome Center, Department of Pathology, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts, USA
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, Maryland, USA
| | - Jessica W. Crothers
- Department of Pathology and Laboratory Medicine, University of Vermont Medical Center, Burlington, Vermont, USA
- Translational Global Infectious Disease Research Center, Larner College of Medicine, University of Vermont, Burlington, Vermont, USA
| | - William J. Wolfgang
- Wadsworth Center, Division of Infectious Diseases, New York State Department of Health, Albany, New York, USA
| | - Sai Laxmi Gubbala Venkata
- Wadsworth Center, Division of Infectious Diseases, New York State Department of Health, Albany, New York, USA
| | - Maria Hoffmann
- Center for Food Safety and Nutrition, U.S. Food and Drug Administration, College Park, Maryland, USA
| | - Victor Jayeola
- Center for Food Safety and Nutrition, U.S. Food and Drug Administration, College Park, Maryland, USA
| | - Michael Klompas
- Department of Population Medicine, Harvard Medical School, Boston, Massachusetts, USA
- Harvard Pilgrim Health Care Institute, Boston, Massachusetts, USA
- Division of Infectious Diseases, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Marc Allard
- Center for Food Safety and Nutrition, U.S. Food and Drug Administration, College Park, Maryland, USA
| | - Lynn Bry
- Massachusetts Host-Microbiome Center, Department of Pathology, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts, USA
- Clinical Microbiology Laboratory, Department of Pathology, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts, USA
| |
Collapse
|
3
|
Timme RE, Wolfgang WJ, Balkey M, Venkata SLG, Randolph R, Allard M, Strain E. Optimizing open data to support one health: best practices to ensure interoperability of genomic data from bacterial pathogens. One Health Outlook 2020; 2:20. [PMID: 33103064 PMCID: PMC7568946 DOI: 10.1186/s42522-020-00026-3] [Citation(s) in RCA: 41] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/27/2020] [Accepted: 08/02/2020] [Indexed: 06/11/2023]
Abstract
The holistic approach of One Health, which sees human, animal, plant, and environmental health as a unit, rather than discrete parts, requires not only interdisciplinary cooperation, but standardized methods for communicating and archiving data, enabling participants to easily share what they have learned and allow others to build upon their findings. Ongoing work by NCBI and the GenomeTrakr project illustrates how open data platforms can help meet the needs of federal and state regulators, public health laboratories, departments of agriculture, and universities. Here we describe how microbial pathogen surveillance can be transformed by having an open access database along with Best Practices for contributors to follow. First, we describe the open pathogen surveillance framework, hosted on the NCBI platform. We cover the current community standards for WGS quality, provide an SOP for assessing your own sequence quality and recommend QC thresholds for all submitters to follow. We then provide an overview of NCBI data submission along with step by step details. And finally, we provide curation guidance and an SOP for keeping your public data current within the database. These Best Practices can be models for other open data projects, thereby advancing the One Health goals of Findable, Accessible, Interoperable and Re-usable (FAIR) data.
Collapse
Affiliation(s)
- Ruth E. Timme
- U.S. Food and Drug Administration, Center for Food Safety and Applied Nutrition, 5001 Campus Drive, College Park, MD 20740 USA
| | | | - Maria Balkey
- U.S. Food and Drug Administration, Center for Food Safety and Applied Nutrition, 5001 Campus Drive, College Park, MD 20740 USA
| | | | - Robyn Randolph
- Association of Public Health Laboratories, Silver Spring, MD USA
| | - Marc Allard
- U.S. Food and Drug Administration, Center for Food Safety and Applied Nutrition, 5001 Campus Drive, College Park, MD 20740 USA
| | - Errol Strain
- U.S. Food and Drug Administration, Center for Veterinary Medicine, Laurel, MD USA
| |
Collapse
|