Frontiers in Microbiology · 2023 · 16 citations · 54 references
Life SciencesMicrobiologyVeterinary MicrobiologyBacteriologyGenomicsTuberculosis ControlDna SequencingGenome SequencingMolecular SurveillancePathogen DetectionTuberculosis DiagnosisTuberculosis SurveillanceAmplicon SequencingAnimal Disease SurveillanceLong-read SequencingMycobacterium Bovis DetectionNontuberculous Mycobacterial InfectionsPreventive Control MeasuresTuberculosis In AnimalsTuberculosis In Wildlife
Animal tuberculosis is a significant infectious disease affecting both livestock and wildlife populations worldwide. Effective disease surveillance and characterization of Mycobacterium bovis (M. bovis) strains are essential for understanding transmission dynamics and implementing control measures. Currently, sequencing of genomic information has relied on culture-based methods, which are time-consuming, resource-demanding, and concerning in terms of biosafety. This study explores the use of culture-independent long-read whole-genome sequencing (WGS) for a better understanding of M. bovis epidemiology in African buffaloes ( Syncerus caffer ). By comparing two sequencing approaches, we evaluated the efficacy of Illumina WGS performed on culture extracts and culture-independent Oxford Nanopore adaptive sampling (NAS). Our objective was to assess the potential of NAS to detect genomic variants without sample culture. In addition, culture-independent amplicon sequencing, targeting mycobacterial-specific housekeeping and full-length 16S rRNA genes, was applied to investigate the presence of microorganisms, including nontuberculous mycobacteria. The sequencing quality obtained from DNA extracted directly from tissues using NAS is comparable to the sequencing quality of reads generated from culture-derived DNA using both NAS and Illumina technologies. We present a new approach that provides complete and accurate genome sequence reconstruction, culture independently, and using an economically affordable technique.
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BEDTools: a flexible suite of utilities for comparing genomic features
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Improved metagenomic analysis with Kraken 2
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Life Sciences, Biology, Microbiology +14