Related Experiment Video
Updated: Jul 2, 2025

Determining the Likelihood of Variant Pathogenicity Using Amino Acid-level Signal-to-Noise Analysis of Genetic Variation
Published on: January 16, 2019
Genomic Analyses of Major SARS-CoV-2 Variants Predicting Multiple Regions of Pathogenic and Transmissive Importance
Steven W Brugger1, Julianne H Grose1, Craig H Decker1
1Department of Microbiology and Molecular Biology, Brigham Young University, Provo, UT 84602, USA.
Abstract:
The rapid evolution of SARS-CoV-2 has fueled its global proliferation since its discovery in 2019, with several notable variants having been responsible for increases in cases of coronavirus disease 2019 (COVID-19). Analyses of codon bias and usage in these variants between phylogenetic clades or lineages may grant insights into the evolution of SARS-CoV-2 and identify target codons indicative of evolutionary or mutative trends that may prove useful in tracking or defending oneself against emerging strains. We processed a cohort of 120 SARS-CoV-2 genome sequences through a statistical and bioinformatic pipeline to identify codons presenting evidence of selective pressure as well as codon coevolution. We report the identification of two codon sites in the orf8 and N genes demonstrating such evidence with real-world impacts on pathogenicity and transmissivity.
More Related Videos
Related Concept Videos
Single Nucleotide Polymorphisms-SNPs
Viral Mutations
Gene Evolution - Fast or Slow?
In contrast, regions which code...
Evolutionary Relationships through Genome Comparisons

