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
- randomized controlled trial
- single molecule
- copy number
- microbial community
- healthcare
- fine needle aspiration
- genome wide
- big data
- induced apoptosis
- nucleic acid
- cancer therapy
- data analysis
- open label
- signaling pathway
- cell death
- endoplasmic reticulum stress
- gram negative
- multidrug resistant
- cell cycle arrest