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      Advancing pathogen genomics in resource-limited settings

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          Summary

          Genomic sequencing has emerged as a powerful tool to enhance early pathogen detection and characterization with implications for public health and clinical decision making. Although widely available in developed countries, the application of pathogen genomics among low-resource, high-disease burden settings remains at an early stage. In these contexts, tailored approaches for integrating pathogen genomics within infectious disease control programs will be essential to optimize cost efficiency and public health impact. We propose a framework for embedding pathogen genomics within national surveillance plans across a spectrum of surveillance and laboratory capacities. We adopt a public health approach to genomics and examine its application to high-priority diseases relevant in resource-limited settings. For each grouping, we assess the value proposition for genomics to inform public health and clinical decision-making, alongside its contribution toward research and development of novel diagnostics, therapeutics, and vaccines.

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          Abstract

          Pronyk et al. profile an approach to genomic surveillance for high-priority pathogens in resource-limited settings. National planning should be informed by local disease burdens, existing surveillance and laboratory systems, and the utility for genomics in each context. The aim is to design cost-efficient, multi-pathogen approaches that optimize public health impact.

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          Most cited references73

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          GISAID’s Role in Pandemic Response

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            Real-time, portable genome sequencing for Ebola surveillance

            The Ebola virus disease (EVD) epidemic in West Africa is the largest on record, responsible for >28,599 cases and >11,299 deaths 1 . Genome sequencing in viral outbreaks is desirable in order to characterize the infectious agent to determine its evolutionary rate, signatures of host adaptation, identification and monitoring of diagnostic targets and responses to vaccines and treatments. The Ebola virus genome (EBOV) substitution rate in the Makona strain has been estimated at between 0.87 × 10−3 to 1.42 × 10−3 mutations per site per year. This is equivalent to 16 to 27 mutations in each genome, meaning that sequences diverge rapidly enough to identify distinct sub-lineages during a prolonged epidemic 2-7 . Genome sequencing provides a high-resolution view of pathogen evolution and is increasingly sought-after for outbreak surveillance. Sequence data may be used to guide control measures, but only if the results are generated quickly enough to inform interventions 8 . Genomic surveillance during the epidemic has been sporadic due to a lack of local sequencing capacity coupled with practical difficulties transporting samples to remote sequencing facilities 9 . In order to address this problem, we devised a genomic surveillance system that utilizes a novel nanopore DNA sequencing instrument. In April 2015 this system was transported in standard airline luggage to Guinea and used for real-time genomic surveillance of the ongoing epidemic. Here we present sequence data and analysis of 142 Ebola virus (EBOV) samples collected during the period March to October 2015. We were able to generate results in less than 24 hours after receiving an Ebola positive sample, with the sequencing process taking as little as 15-60 minutes. We show that real-time genomic surveillance is possible in resource-limited settings and can be established rapidly to monitor outbreaks.
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              Whole-genome sequencing for analysis of an outbreak of meticillin-resistant Staphylococcus aureus: a descriptive study

              Summary Background The emergence of meticillin-resistant Staphylococcus aureus (MRSA) that can persist in the community and replace existing hospital-adapted lineages of MRSA means that it is necessary to understand transmission dynamics in terms of hospitals and the community as one entity. We assessed the use of whole-genome sequencing to enhance detection of MRSA transmission between these settings. Methods We studied a putative MRSA outbreak on a special care baby unit (SCBU) at a National Health Service Foundation Trust in Cambridge, UK. We used whole-genome sequencing to validate and expand findings from an infection-control team who assessed the outbreak through conventional analysis of epidemiological data and antibiogram profiles. We sequenced isolates from all colonised patients in the SCBU, and sequenced MRSA isolates from patients in the hospital or community with the same antibiotic susceptibility profile as the outbreak strain. Findings The hospital infection-control team identified 12 infants colonised with MRSA in a 6 month period in 2011, who were suspected of being linked, but a persistent outbreak could not be confirmed with conventional methods. With whole-genome sequencing, we identified 26 related cases of MRSA carriage, and showed transmission occurred within the SCBU, between mothers on a postnatal ward, and in the community. The outbreak MRSA type was a new sequence type (ST) 2371, which is closely related to ST22, but contains genes encoding Panton-Valentine leucocidin. Whole-genome sequencing data were used to propose and confirm that MRSA carriage by a staff member had allowed the outbreak to persist during periods without known infection on the SCBU and after a deep clean. Interpretation Whole-genome sequencing holds great promise for rapid, accurate, and comprehensive identification of bacterial transmission pathways in hospital and community settings, with concomitant reductions in infections, morbidity, and costs. Funding UK Clinical Research Collaboration Translational Infection Research Initiative, Wellcome Trust, Health Protection Agency, and the National Institute for Health Research Cambridge Biomedical Research Centre.
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                Author and article information

                Contributors
                Journal
                Cell Genom
                Cell Genom
                Cell Genomics
                Elsevier
                2666-979X
                17 November 2023
                13 December 2023
                17 November 2023
                : 3
                : 12
                : 100443
                Affiliations
                [1 ]Centre for Outbreak Preparedness, Duke-NUS Medical School, Singapore 169857, Singapore
                [2 ]Emerging Infectious Diseases Programme, Duke-NUS Medical School, Singapore 169857, Singapore
                [3 ]Sydney Infectious Diseases Institute, The University of Sydney, Camperdown, NSW 2006, Australia
                [4 ]Centre for Infectious Diseases and Microbiology – Public Health, Westmead Hospital, Westmead, NSW 2145, Australia
                [5 ]Centre for Infectious Diseases and Microbiology Laboratory Services, NSW Health Pathology – Institute of Clinical Pathology and Medical Research, Westmead, NSW 2145, Australia
                [6 ]Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore 117549, Singapore
                [7 ]Infectious Diseases Translational Research Programme, Department of Microbiology and Immunology, Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, Singapore 117549, Singapore
                [8 ]Singapore Centre for Environmental Life Sciences Engineering, National University of Singapore, Singapore 117549, Singapore
                [9 ]Nanyang Technological University, Singapore 639798, Singapore
                [10 ]Big Data Institute, Nuffield Department of Medicine, University of Oxford, Oxford OX3 7LF, UK
                [11 ]National Public Health Laboratory, National Centre for Infectious Diseases, Singapore 308442, Singapore
                [12 ]Bioinformatics Institute, Agency for Science, Technology and Research, Singapore 138671, Singapore
                [13 ]Programme for Research in Epidemic Preparedness and Response (PREPARE), Ministry of Health, Singapore 169854, Singapore
                [14 ]Center for Health Resilience and Resource Policy, Ministry of Health, Jakarta 12950, Indonesia
                [15 ]Molecular Biology Laboratory, Research Institute for Tropical Medicine, Muntinlupa 1781, Metro Manila, Philippines
                Author notes
                []Corresponding author ppronyk@ 123456duke-nus.edu.sg
                Article
                S2666-979X(23)00278-1 100443
                10.1016/j.xgen.2023.100443
                10726422
                38116115
                0420d1e5-5fec-41da-8582-47318d5ac507
                © 2023 The Author(s)

                This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).

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                genomics,pathogen genomics,surveillance,whole-genome sequencing,emerging infectious diseases,resource-limited settings

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