Strengthening Bordetella pertussis genomic surveillance by direct sequencing of residual positive specimens.
Yanhui PengMargaret M WilliamsLingzi XiaoliAshley SimonHeather FuestonMaria L TondellaMichael R WeigandPublished in: Journal of clinical microbiology (2024)
Whole-genome sequencing (WGS) of microbial pathogens recovered from patients with infectious disease facilitates high-resolution strain characterization and molecular epidemiology. However, increasing reliance on culture-independent methods to diagnose infectious diseases has resulted in few isolates available for WGS. Here, we report a novel culture-independent approach to genome characterization of Bordetella pertussis , the causative agent of pertussis and a paradigm for insufficient genomic surveillance due to limited culture of clinical isolates. Sequencing libraries constructed directly from residual pertussis-positive diagnostic nasopharyngeal specimens were hybridized with biotinylated RNA "baits" targeting B. pertussis fragments within complex mixtures that contained high concentrations of host and microbial background DNA. Recovery of B. pertussis genome sequence data was evaluated with mock and pooled negative clinical specimens spiked with reducing concentrations of either purified DNA or inactivated cells. Targeted enrichment increased the yield of B. pertussis sequencing reads up to 90% while simultaneously decreasing host reads to less than 10%. Filtered sequencing reads provided sufficient genome coverage to perform characterization via whole-genome single nucleotide polymorphisms and whole-genome multilocus sequencing typing. Moreover, these data were concordant with sequenced isolates recovered from the same specimens such that phylogenetic reconstructions from either consistently clustered the same putatively linked cases. The optimized protocol is suitable for nasopharyngeal specimens with diagnostic IS 481 Ct < 35 and >10 ng DNA. Routine implementation of these methods could strengthen surveillance and study of pertussis resurgence by capturing additional cases with genomic characterization.
Keyphrases
- infectious diseases
- single cell
- public health
- high resolution
- healthcare
- fine needle aspiration
- circulating tumor
- image quality
- cell free
- copy number
- single molecule
- randomized controlled trial
- computed tomography
- microbial community
- primary care
- electronic health record
- big data
- genome wide
- cancer therapy
- nucleic acid
- clinical trial
- ionic liquid
- machine learning
- clinical practice
- magnetic resonance
- cell proliferation
- ultrasound guided
- multidrug resistant
- gram negative
- tandem mass spectrometry