Loading...
Modeling HIV-1 drug resistance as episodic directional selection
Murrell, B ; de Oliveira, T ; Seebregts, C ; Kosakovsky Pond, SL ; Scheffler, K
Murrell, B
de Oliveira, T
Seebregts, C
Kosakovsky Pond, SL
Scheffler, K
Citations
Altmetric:
Genre
Journal Article
Date
2012-05-01
Advisor
Committee member
Group
Department
Permanent link to this record
Collections
Research Projects
Organizational Units
Journal Issue
DOI
10.1371/journal.pcbi.1002507
Abstract
The evolution of substitutions conferring drug resistance to HIV-1 is both episodic, occurring when patients are on antiretroviral therapy, and strongly directional, with site-specific resistant residues increasing in frequency over time. While methods exist to detect episodic diversifying selection and continuous directional selection, no evolutionary model combining these two properties has been proposed. We present two models of episodic directional selection (MEDS and EDEPS) which allow the a priori specification of lineages expected to have undergone directional selection. The models infer the sites and target residues that were likely subject to directional selection, using either codon or protein sequences. Compared to its null model of episodic diversifying selection, MEDS provides a superior fit to most sites known to be involved in drug resistance, and neither one test for episodic diversifying selection nor another for constant directional selection are able to detect as many true positives as MEDS and EDEPS while maintaining acceptable levels of false positives. This suggests that episodic directional selection is a better description of the process driving the evolution of drug resistance. © 2012 Murrell et al.
Description
Citation
Citation to related work
Public Library of Science (PLoS)
Has part
PLoS Computational Biology
ADA compliance
For Americans with Disabilities Act (ADA) accommodation, including help with reading this content, please contact scholarshare@temple.edu