Serial evolutionary networks of within-patient HIV-1 sequences reveal patterns of evolution of X4 strains.

ABSTRACT:

Background

The HIV virus is known for its ability to exploit numerous genetic and evolutionary mechanisms to ensure its proliferation, among them, high replication, mutation and recombination rates. Sliding MinPD, a recently introduced computational method 1, was used to investigate the patterns of evolution of serially-sampled HIV-1 sequence data from eight patients with a special focus on the emergence of X4 strains. Unlike other phylogenetic methods, Sliding MinPD combines distance-based inference with a nonparametric bootstrap procedure and automated recombination detection to reconstruct the evolutionary history of longitudinal sequence data. We present serial evolutionary networks as a longitudinal representation of the mutational pathways of a viral population in a within-ho

SUBMITTER: Buendia P 

PROVIDER: S-EPMC2709891 | biostudies-literature | 2009 Jun

REPOSITORIES: biostudies-literature