Estimating the mutational fitness effects distribution during early HIV infection.

ABSTRACT: The evolution of HIV during acute infection is often considered a neutral process. Recent analysis of sequencing data from this stage of infection, however, showed high levels of shared mutations between independent viral populations. This suggests that selection might play a role in the early stages of HIV infection. We adapted an existing model for random evolution during acute HIV-infection to include selection. Simulations of this model were used to fit a global mutational fitness effects distribution to previously published sequencing data of the env gene of individuals with acute HIV infection. Measures of sharing between viral populations were used as summary statistics to compare the data to the simulations. We confirm that evolution during acute infection is significantly d

SUBMITTER: Bons E 

PROVIDER: S-EPMC6172364 | biostudies-literature | 2018 Jul

REPOSITORIES: biostudies-literature