Purifying Selection Can Obscure the Ancient Age of Viral Lineages
Year: 2011
Type: article
Abstract: Statistical methods for molecular dating of viral origins have been used extensively to infer the time of most common recent ancestor for many rapidly evolving pathogens. However, there are a number of cases, in which epidemiological, historical, or genomic evidence suggests much older viral origins than those obtained via molecular dating. We demonstrate how pervasive purifying selection can mask the ancient origins of recently sampled pathogens, in part due to the inability of nucleotide-based substitution models to properly account for complex patterns of spatial and temporal variability in selective pressures. We use codon-based substitution models to infer the length of branches in viral phylogenies; these models produce estimates that are often considerably longer than those obtained with traditional nucleotide-based substitution models. Correcting the apparent underestimation of branch lengths suggests substantially older origins for measles, Ebola, and avian influenza viruses. This work helps to reconcile some of the inconsistencies between molecular dating and other types of evidence concerning the age of viral lineages.
Source: Molecular Biology and Evolution
Institution: University of California San Diego
Language: English
Subfield: Genetics
Domain: Life Sciences
Open Access status: green
Awards: Modeling HIV Escape from Neutralizing Antibody Respones, G1781340182, G1812340134, G2132829350, BIOMATHEMATICAL ANALYSIS OF VIRAL DYNAMICS AND EVOLUTION, Identifying Selection Pressures on Viral Genomes, G2344635089, Primary Infection Resource Consortium (PIRC), Biomathematical Analysis of Viral Dynamics and Evolution, G473273920, BIOMATHEMATICAL ANALYSIS OF VIRAL DYNAMICS AND EVOLUTION, G5918387183, Southern California Primary Infection Program, Determinants of HIV Transmission, HyPhy: comprehensive, fast, and user-friendly software for evolutionary analysis, G9000031394, G9000062723, G9000096674, San Diego Center for AIDS Research (SD CFAR), HOPE Training Grant
OpenAlex ID: W2099464974
