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A hybridization target enrichment approach for pathogen genomics

NCJ Number
307710
Journal
mBio Dated: 2023
Author(s)
Balaji Sundararaman; Matthew D. Sylvester; Varvara K. Kozyreva; Zenda L. Berrada; Russell B. Corbett-Detig; Richard E. Green
Date Published
2023
Length
16 pages
Annotation

The authors describe their research methodology and materials for their novel approach to pathogen monitoring, which they envision being adopted for the following purposes: rapid detection as a culture-independent diagnostic test as well as for routine genomic surveillance to characterize antimicrobial resistance patterns; to detect emerging clinical strains and lineages; and to predict outbreaks of a wide range of microbial pathogens.

Abstract

Genomic epidemiology uses pathogens’ whole-genome sequences to understand and manage the spread of infectious diseases. Whole-genome data can be used to monitor outbreaks and cluster formation, identify cross-community transmissions, and characterize drug resistance and immune evasion. Typically, bacteria are cultured from clinical samples to obtain DNA for sequencing to generate whole-genome data. However, culture-independent diagnostic methods are utilized for some fastidious bacteria for better diagnostic yield and rapid pathogen genomics. Whole-genome enrichment (WGE) using targeted DNA sequencing enables direct sequencing of clinical samples without having to culture pathogens. However, the cost of capture probes (“baits”) limits the utility of this method for large-scale genomic epidemiology. We developed a cost-effective method named Circular Nucleic acid Enrichment Reagent synthesis (CNERs) to generate whole-genome enrichment probes. The authors demonstrated the method by producing probes for Mycobacterium tuberculosis, which they used to enrich M. tuberculosis DNA that had been spiked at concentrations as low as 0.01 percent and 100 genome copies against a human DNA background to 1,225-fold and 4,636-fold. Furthermore, they enriched DNA from different M. tuberculosis lineages and M. bovis and demonstrated the utility of the WGE-CNERs data for lineage identification and drug-resistance characterization using an established pipeline. The CNERs method for whole-genome enrichment will be a valuable tool for the genomic epidemiology of emerging and difficult-to-grow pathogens. Publisher Abstract Provided