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Ongoing Recombination in SARS-CoV-2 Revealed through Genealogical Reconstruction.
Ignatieva, Anastasia; Hein, Jotun; Jenkins, Paul A.
  • Ignatieva A; Department of Statistics, University of Warwick, Coventry, United Kingdom.
  • Hein J; Department of Statistics, University of Oxford, Oxford, United Kingdom.
  • Jenkins PA; The Alan Turing Institute, British Library, London, United Kingdom.
Mol Biol Evol ; 39(2)2022 02 03.
Article in English | MEDLINE | ID: covidwho-1672234
ABSTRACT
The evolutionary process of genetic recombination has the potential to rapidly change the properties of a viral pathogen, and its presence is a crucial factor to consider in the development of treatments and vaccines. It can also significantly affect the results of phylogenetic analyses and the inference of evolutionary rates. The detection of recombination from samples of sequencing data is a very challenging problem and is further complicated for SARS-CoV-2 by its relatively slow accumulation of genetic diversity. The extent to which recombination is ongoing for SARS-CoV-2 is not yet resolved. To address this, we use a parsimony-based method to reconstruct possible genealogical histories for samples of SARS-CoV-2 sequences, which enables us to pinpoint specific recombination events that could have generated the data. We propose a statistical framework for disentangling the effects of recurrent mutation from recombination in the history of a sample, and hence provide a way of estimating the probability that ongoing recombination is present. We apply this to samples of sequencing data collected in England and South Africa and find evidence of ongoing recombination.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: SARS-CoV-2 / COVID-19 Type of study: Prognostic study / Randomized controlled trials Topics: Vaccines Limits: Humans Language: English Journal subject: Molecular Biology Year: 2022 Document Type: Article Affiliation country: Molbev

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Full text: Available Collection: International databases Database: MEDLINE Main subject: SARS-CoV-2 / COVID-19 Type of study: Prognostic study / Randomized controlled trials Topics: Vaccines Limits: Humans Language: English Journal subject: Molecular Biology Year: 2022 Document Type: Article Affiliation country: Molbev