Detecting Selection in the HIV-1 Genome during Sexual Transmission Events.

ABSTRACT: Little is known about whether and how variation in the HIV-1 genome affects its transmissibility. Assessing which genomic features of HIV-1 are under positive or negative selection during transmission is challenging, because very few virus particles are typically transmitted, and random genetic drift can dilute genetic signals in the recipient virus population. We analyzed 30 transmitter-recipient pairs from the Zurich Primary HIV Infection Study and the Swiss HIV Cohort Study using near full-length HIV-1 genomes. We developed a new statistical test to detect selection during transmission, called Selection Test in Transmission (SeTesT), based on comparing the transmitter and recipient virus population and accounting for the transmission bottleneck. We performed extensive simulations and fo

SUBMITTER: Seifert D 

PROVIDER: S-EPMC8876189 | biostudies-literature | 2022 Feb

REPOSITORIES: biostudies-literature