Related Experiment Video
Updated: Dec 12, 2025

Conformational Evaluation of HIV-1 Trimeric Envelope Glycoproteins Using a Cell-based ELISA Assay
Published on: September 14, 2014
Deep Profiling Identifies Selection of Nonsynonymous Amino Acid Substitutions in HIV-1 Envelope During Early
Manickam Ashokkumar1, Sathyamurthi Pattabiraman1, Srikanth P Tripathy1
1Department of HIV/AIDS, National Institute for Research in Tuberculosis, Chennai, India.
Abstract:
Understanding the evolutionary dynamics of the viruses within an individual at or near the moment of transmission can provide critical inputs for the design of an effective vaccine for HIV infection. In this study, high-throughput sequencing technology was employed to analyze the evolutionary rate in viruses obtained at a single time point from drug-naive recently infected infants and adults in the chronic stage of disease. Gene-wise nonsynonymous (pN) and synonymous (pS) mutation rates were estimated and compared between the two groups. Significant differences were observed in the evolutionary rates between viruses in the early and late stages of infection. Higher rates of adaptive mutations in the HIV-1 envelope gene (env) were found in the chronic viruses as compared with those in the early stages of HIV infection. Conversely, percentage of nonsynonymous substitutions in env was found to be higher in recently transmitted viruses. In addition, a positive correlation was found between mutation and the evolutionary rate, and infectivity titer in recent infection. Despite the small sample size, the study identified useful information about viral evolution on transmission-associated bottlenecks. The effect of intraindividual HIV-1 evolution at the population level was highly contemporary, and the higher percentage of nonsynonymous substitutions seen in env during recent HIV-1 infection has suggested a pattern of convergent evolution leading to a positive selection for survival fitness and disease progression.
More Related Videos
10:18Amplification of Near Full-length HIV-1 Proviruses for Next-Generation Sequencing
Published on: October 16, 2018
13:58Amplifying and Quantifying HIV-1 RNA in HIV Infected Individuals with Viral Loads Below the Limit of Detection by Standard Clinical Assays
Published on: September 26, 2011