Litcius/Paper detail

Causes and Consequences of Purifying Selection on SARS-CoV-2

Atahualpa Castillo-Morales, Alan M. Rice, Alexander T Ho, Christine Mordstein, Stefanie Mühlhausen, Samir Watson, Laura Cano, Bethan Young, Grzegorz Kudla, Laurence D. Hurst

2021Genome Biology and Evolution48 citationsDOIOpen Access PDF

Abstract

Owing to a lag between a deleterious mutation's appearance and its selective removal, gold-standard methods for mutation rate estimation assume no meaningful loss of mutations between parents and offspring. Indeed, from analysis of closely related lineages, in SARS-CoV-2, the Ka/Ks ratio was previously estimated as 1.008, suggesting no within-host selection. By contrast, we find a higher number of observed SNPs at 4-fold degenerate sites than elsewhere and, allowing for the virus's complex mutational and compositional biases, estimate that the mutation rate is at least 49-67% higher than would be estimated based on the rate of appearance of variants in sampled genomes. Given the high Ka/Ks one might assume that the majority of such intrahost selection is the purging of nonsense mutations. However, we estimate that selection against nonsense mutations accounts for only ∼10% of all the "missing" mutations. Instead, classical protein-level selective filters (against chemically disparate amino acids and those predicted to disrupt protein functionality) account for many missing mutations. It is less obvious why for an intracellular parasite, amino acid cost parameters, notably amino acid decay rate, is also significant. Perhaps most surprisingly, we also find evidence for real-time selection against synonymous mutations that move codon usage away from that of humans. We conclude that there is common intrahost selection on SARS-CoV-2 that acts on nonsense, missense, and possibly synonymous mutations. This has implications for methods of mutation rate estimation, for determining times to common ancestry and the potential for intrahost evolution including vaccine escape.

Topics & Concepts

BiologySelection (genetic algorithm)Negative selectionSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Positive selectionCoronavirus disease 2019 (COVID-19)2019-20 coronavirus outbreakEvolutionary biologyVirologyGeneticsOutbreakGenomeGeneInfectious disease (medical specialty)MedicineDiseaseComputer sciencePathologyArtificial intelligenceSARS-CoV-2 and COVID-19 ResearchCOVID-19 epidemiological studiesVaccine Coverage and Hesitancy