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Recombination and low-diversity confound homoplasy-based methods to detect the effect of SARS-CoV-2 mutations on viral transmissibility
Elena E. Giorgi; Tanmoy Bhattacharya; Will M. Fischer; Hyejin Yoon; Werner Abfalterer; Bette Korber.
Affiliation
  • Elena E. Giorgi; Los Alamos National Laboratory
  • Tanmoy Bhattacharya; Los Alamos National Laboratory
  • Will M. Fischer; Los Alamos National Laboratory
  • Hyejin Yoon; Los Alamos National Laboratory
  • Werner Abfalterer; Los Alamos National Laboratory
  • Bette Korber; Los Alamos National Laboratory
Preprint in En | PREPRINT-BIORXIV | ID: ppbiorxiv-428535
ABSTRACT
The SARS-CoV-2 variant carrying the Spike protein mutation G614 was first detected in late January 2020 and within a few months became the dominant form globally. In the months that followed, many studies, both in vitro and in animal models, showed that variants carrying this mutation were more infectious and more readily transmitted than the ancestral Wuhan form. Here we investigate why a recently published study by van Dorp et al. failed to detect such higher transmissibility of the G614 variant using homoplasy-based methods. We show that both low diversity and recombination confound the methods utilized by van Dorp et al. and significantly decrease their sensitivity. Furthermore, though they claim no evidence of recombination in their dataset, we and several other studies identify a subset of the sequences as recombinants, possibly enough to affect their statistic adversely.
License
cc_by_nc_nd
Full text: 1 Collection: 09-preprints Database: PREPRINT-BIORXIV Type of study: Experimental_studies Language: En Year: 2021 Document type: Preprint
Full text: 1 Collection: 09-preprints Database: PREPRINT-BIORXIV Type of study: Experimental_studies Language: En Year: 2021 Document type: Preprint