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Crykey: Rapid identification of SARS-CoV-2 cryptic mutations in wastewater.

Yunxi LiuNicolae SapovalPilar Gallego-GarcíaLaura TomásDavid PosadaTodd J TreangenLauren B Stadler
Published in: Nature communications (2024)
Wastewater surveillance for SARS-CoV-2 provides early warnings of emerging variants of concerns and can be used to screen for novel cryptic linked-read mutations, which are co-occurring single nucleotide mutations that are rare, or entirely missing, in existing SARS-CoV-2 databases. While previous approaches have focused on specific regions of the SARS-CoV-2 genome, there is a need for computational tools capable of efficiently tracking cryptic mutations across the entire genome and investigating their potential origin. We present Crykey, a tool for rapidly identifying rare linked-read mutations across the genome of SARS-CoV-2. We evaluated the utility of Crykey on over 3,000 wastewater and over 22,000 clinical samples; our findings are three-fold: i) we identify hundreds of cryptic mutations that cover the entire SARS-CoV-2 genome, ii) we track the presence of these cryptic mutations across multiple wastewater treatment plants and over three years of sampling in Houston, and iii) we find a handful of cryptic mutations in wastewater mirror cryptic mutations in clinical samples and investigate their potential to represent real cryptic lineages. In summary, Crykey enables large-scale detection of cryptic mutations in wastewater that represent potential circulating cryptic lineages, serving as a new computational tool for wastewater surveillance of SARS-CoV-2.
Keyphrases
  • sars cov
  • wastewater treatment
  • respiratory syndrome coronavirus
  • public health
  • genome wide
  • anaerobic digestion
  • machine learning
  • risk assessment
  • climate change
  • single molecule
  • quantum dots
  • sensitive detection