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1.
Front Public Health ; 12: 1404243, 2024.
Artigo em Inglês | MEDLINE | ID: mdl-38784596

RESUMO

The world has seen unprecedented gains in the global genomic surveillance capacities for pathogens with pandemic and epidemic potential within the last 4 years. To strengthen and sustain the gains made, WHO is working with countries and partners to implement the Global Genomic Surveillance Strategy for Pathogens with Pandemic and Epidemic Potential 2022-2032. A key technical product developed through these multi-agency collaborative efforts is a genomics costing tool (GCT), as sought by many countries. This tool was developed by five institutions - Association of Public Health Laboratories, FIND, The Global Fund to Fight AIDS, Tuberculosis and Malaria, UK Health Security Agency, and the World Health Organization. These institutions developed the GCT to support financial planning and budgeting for SARS-CoV-2 next-generation sequencing activities, including bioinformatic analysis. The tool costs infrastructure, consumables and reagents, human resources, facility and quality management. It is being used by countries to (1) obtain costs of routine sequencing and bioinformatics activities, (2) optimize available resources, and (3) build an investment case for the scale-up or establishment of sequencing and bioinformatics activities. The tool has been validated and is available in English and Russian at https://www.who.int/publications/i/item/9789240090866. This paper aims to highlight the rationale for developing the tool, describe the process of the collaborative effort in developing the tool, and describe the utility of the tool to countries.


Assuntos
COVID-19 , Genômica , Sequenciamento de Nucleotídeos em Larga Escala , SARS-CoV-2 , Humanos , Sequenciamento de Nucleotídeos em Larga Escala/economia , COVID-19/economia , COVID-19/prevenção & controle , SARS-CoV-2/genética , Biologia Computacional , Defesa Civil/economia , Pandemias/economia , Saúde Global
2.
J Microbiol Methods ; 211: 106784, 2023 08.
Artigo em Inglês | MEDLINE | ID: mdl-37451348

RESUMO

The Illumina iSeq low-capacity sequencing platform was evaluated for use in foodborne disease surveillance and outbreak detection. The platform produced high quality sequence data comparable to that of the Illumina MiSeq and was cost-effective with fast turn-around time in low sample volume environments.


Assuntos
Surtos de Doenças , Doenças Transmitidas por Alimentos , Humanos , Sequenciamento Completo do Genoma , Doenças Transmitidas por Alimentos/epidemiologia , Confiabilidade dos Dados , Sequenciamento de Nucleotídeos em Larga Escala , Genoma Bacteriano
3.
Foodborne Pathog Dis ; 19(8): 569-578, 2022 08.
Artigo em Inglês | MEDLINE | ID: mdl-35861967

RESUMO

Enzymatic library preparation kits are increasingly used for bacterial whole genome sequencing. While they offer a rapid workflow, the transposases used in the kits are recognized to be somewhat biased. The aim of this study was to optimize and validate a protocol for the Illumina DNA Prep kit (formerly Nextera DNA Flex) for sequencing enteric pathogens and compare its performance against the Nextera XT kit. One hundred forty-three strains of Campylobacter, Escherichia, Listeria, Salmonella, Shigella, and Vibrio were prepared with both methods and sequenced on the Illumina MiSeq using 300 and/or 500 cycle chemistries. Sequences were compared using core genome multilocus sequence typing (cgMLST), 7-gene multilocus sequence typing (MLST), and detection of markers encoding serotype, virulence, and antimicrobial resistance. Sequences for one Escherichia strain were downsampled to determine the minimum coverage required for the analyses. While organism-specific differences were observed, the Prep libraries generated longer average read lengths and less fragmented assemblies compared to the XT libraries. In downstream analysis, the most notable difference between the kits was observed for Escherichia, particularly for the 300 cycle sequences. The O group was not predicted in 32% and 4% of XT sequences when using blast and kmer algorithms, respectively, while the O group was predicted from all Prep sequences regardless of the algorithm. In addition, the ehxA gene was not detected in 6% of XT sequences and 34% were missing one or more of the type III secretion systems and/or plasmid-associated genes, which were detected in the Prep sequences. The coverage downsampling revealed that acceptable assembly quality and allele detection was achieved at 30 × coverage with the Prep libraries, whereas 40-50 × coverage was required for the XT libraries. The better performance of the Prep libraries was attributed to more even coverage, particularly in genome regions low in GC content.


Assuntos
Microbioma Gastrointestinal , Genoma Bacteriano , DNA , Sequenciamento de Nucleotídeos em Larga Escala/métodos , Tipagem de Sequências Multilocus
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