Rapid detection of inter-clade recombination in SARS-CoV-2 with Bolotie

Author:

Varabyou Ales12ORCID,Pockrandt Christopher13ORCID,Salzberg Steven L1234ORCID,Pertea Mihaela123ORCID

Affiliation:

1. Center for Computational Biology, Johns Hopkins University, Baltimore, MD 21211, USA

2. Department of Computer Science, Johns Hopkins University, Baltimore, MD 21218, USA

3. Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD 21218, USA

4. Department of Biostatistics, Johns Hopkins University, Baltimore, MD 21205, USA

Abstract

Abstract The ability to detect recombination in pathogen genomes is crucial to the accuracy of phylogenetic analysis and consequently to forecasting the spread of infectious diseases and to developing therapeutics and public health policies. However, in case of the SARS-CoV-2, the low divergence of near-identical genomes sequenced over a short period of time makes conventional analysis infeasible. Using a novel method, we identified 225 anomalous SARS-CoV-2 genomes of likely recombinant origins out of the first 87,695 genomes to be released, several of which have persisted in the population. Bolotie is specifically designed to perform a rapid search for inter-clade recombination events over extremely large datasets, facilitating analysis of novel isolates in seconds. In cases where raw sequencing data were available, we were able to rule out the possibility that these samples represented co-infections by analyzing the underlying sequence reads. The Bolotie software and other data from our study are available at https://github.com/salzberg-lab/bolotie.

Funder

Fast Grants

US National Institutes of Health

Publisher

Oxford University Press (OUP)

Subject

Genetics

Reference23 articles.

1. The evolutionary genomics of pathogen recombination;Awadalla;Nat Rev Genet,2003

2. A simple and robust statistical test for detecting the presence of recombination;Bruen;Genetics,2006

3. Identification of the nucleotide substitutions in 62 SARS-CoV-2 sequences from Turkey;Demİr;Turk J Biol,2020

4. An interactive web-based dashboard to track COVID-19 in real time;Dong;Lancet Infect Dis,2020

5. No evidence for increased transmissibility from recurrent mutations in SARS-CoV-2;Dorp;Nat Commun,2020

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