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Highly multiplexed targeted sequencing strategy for infectious disease surveillance

BACKGROUND: Global efforts to characterize diseases of poverty are hampered by lack of affordable and comprehensive detection platforms, resulting in suboptimal allocation of health care resources and inefficient disease control. Next generation sequencing (NGS) can provide accurate data and high th...

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Detalles Bibliográficos
Autores principales: Hernández-Neuta, Iván, Magoulopoulou, Anastasia, Pineiro, Flor, Lisby, Jan Gorm, Gulberg, Mats, Nilsson, Mats
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10463907/
https://www.ncbi.nlm.nih.gov/pubmed/37612665
http://dx.doi.org/10.1186/s12896-023-00804-7
Descripción
Sumario:BACKGROUND: Global efforts to characterize diseases of poverty are hampered by lack of affordable and comprehensive detection platforms, resulting in suboptimal allocation of health care resources and inefficient disease control. Next generation sequencing (NGS) can provide accurate data and high throughput. However, shotgun and metagenome-based NGS approaches are limited by low concentrations of microbial DNA in clinical samples, requirements for tailored sample and library preparations plus extensive bioinformatics analysis. Here, we adapted molecular inversion probes (MIPs) as a cost-effective target enrichment approach to characterize microbial infections from blood samples using short-read sequencing. We designed a probe panel targeting 2 bacterial genera, 21 bacterial and 6 fungi species and 7 antimicrobial resistance markers (AMRs). RESULTS: Our approach proved to be highly specific to detect down to 1 in a 1000 pathogen DNA targets contained in host DNA. Additionally, we were able to accurately survey pathogens and AMRs in 20 out of 24 samples previously profiled with routine blood culture for sepsis. CONCLUSIONS: Overall, our targeted assay identifies microbial pathogens and AMRs with high specificity at high throughput, without the need for extensive sample preparation or bioinformatics analysis, simplifying its application for characterization and surveillance of infectious diseases in medium- to low- resource settings. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12896-023-00804-7.