Rapid and Sensitive Direct Detection and Identification of Poliovirus from Stool and Environmental Surveillance Samples by Use of Nanopore Sequencing.
Alexander G ShawManasi MajumdarCatherine TromanÁine O'TooleBlossom BennyDilip AbrahamIra PraharajGagandeep KangSalmaan SharifMuhammad Masroor AlamShahzad ShaukatMehar AngezAdnan KhurshidNayab MahmoodYasir ArshadLubna RehmanGhulam MujtabaRibqa AktharMuhammad SalmanDimitra KlapsaYara HajarhaHumayun AsgharAnanda BandyopadhyayAndrew RambautJavier MartinNicholas GrasslyPublished in: Journal of clinical microbiology (2020)
Global poliovirus surveillance involves virus isolation from stool and environmental samples, intratypic differential (ITD) by PCR, and sequencing of the VP1 region to distinguish vaccine (Sabin), vaccine-derived, and wild-type polioviruses and to ensure an appropriate response. This cell culture algorithm takes 2 to 3 weeks on average between sample receipt and sequencing. Direct detection of viral RNA using PCR allows faster detection but has traditionally faced challenges related to poor sensitivity and difficulties in sequencing common samples containing poliovirus and enterovirus mixtures. We present a nested PCR and nanopore sequencing protocol that allows rapid (<3 days) and sensitive direct detection and sequencing of polioviruses in stool and environmental samples. We developed barcoded primers and a real-time analysis platform that generate accurate VP1 consensus sequences from multiplexed samples. The sensitivity and specificity of our protocol compared with those of cell culture were 90.9% (95% confidence interval, 75.7% to 98.1%) and 99.2% (95.5% to 100.0%) for wild-type 1 poliovirus, 92.5% (79.6% to 98.4%) and 98.7% (95.4% to 99.8%) for vaccine and vaccine-derived serotype 2 poliovirus, and 88.3% (81.2% to 93.5%) and 93.2% (88.6% to 96.3%) for Sabin 1 and 3 poliovirus alone or in mixtures when tested on 155 stool samples in Pakistan. Variant analysis of sequencing reads also allowed the identification of polioviruses and enteroviruses in artificial mixtures and was able to distinguish complex mixtures of polioviruses in environmental samples. The median identity of consensus nanopore sequences with Sanger or Illumina sequences from the same samples was >99.9%. This novel method shows promise as a faster and safer alternative to cell culture for the detection and real-time sequencing of polioviruses in stool and environmental samples.
Keyphrases
- single cell
- loop mediated isothermal amplification
- real time pcr
- wild type
- randomized controlled trial
- ionic liquid
- human health
- label free
- risk assessment
- machine learning
- life cycle
- artificial intelligence
- escherichia coli
- deep learning
- sensitive detection
- quantum dots
- tertiary care
- klebsiella pneumoniae
- dengue virus
- data analysis
- genetic diversity