Despite the high degree of HIV-1 protease and reverse transcriptase (RT) mutation in the setting of antiretroviral therapy, the spectrum of possible virus variants appears to be limited by patterns of amino acid covariation. We analyzed patterns of amino acid covariation in protease and RT sequences from more than 7,000 persons infected with HIV-1 subtype B viruses obtained from the Stanford HIV Drug Resistance Database (http://hivdb.stanford.edu). In addition, we examined the relationship between conditional probabilities associated with a pair of mutations and the order in which those mutations developed in viruses for which longitudinal sequence data were available. Patterns of RT covariation were dominated by the distinct clustering of Type I and Type II thymidine analog mutations and the Q151M-associated mutations. Patterns of protease covariation were dominated by the clustering of nelfinavir-associated mutations (D30N and N88D), two main groups of protease inhibitor (PI)-resistance mutations associated either with V82A or L90M, and a tight cluster of mutations associated with decreased susceptibility to amprenavir and the most recently approved PI darunavir. Different patterns of covariation were frequently observed for different mutations at the same position including the RT mutations T69D versus T69N, L74V versus L74I, V75I versus V75M, T215F versus T215Y, and K219Q/E versus K219N/R, and the protease mutations M46I versus M46L, I54V versus I54M/L, and N88D versus N88S. Sequence data from persons with correlated mutations in whom earlier sequences were available confirmed that the conditional probabilities associated with correlated mutation pairs could be used to predict the order in which the mutations were likely to have developed. Whereas accessory nucleoside RT inhibitor-resistance mutations nearly always follow primary nucleoside RT inhibitor-resistance mutations, accessory PI-resistance mutations often preceded primary PI-resistance mutations.
%0 Journal Article
%1 rhee_hiv-1_2007
%A Rhee, Soo-Yon
%A Liu, Tommy F
%A Holmes, Susan P
%A Shafer, Robert W
%D 2007
%J PLoS Computational Biology
%K Acid Amino Chromosome Disequilibrium, Linkage Mapping, Protease, Reverse Substitution, Transcriptase, Variation {(Genetics)} {HIV-1,} {HIV}
%N 5
%P e87
%R 06-PLCB-RA-0488R2
%T HIV-1 subtype B protease and reverse transcriptase amino acid covariation
%U http://www.ncbi.nlm.nih.gov/pubmed/17500586
%V 3
%X Despite the high degree of HIV-1 protease and reverse transcriptase (RT) mutation in the setting of antiretroviral therapy, the spectrum of possible virus variants appears to be limited by patterns of amino acid covariation. We analyzed patterns of amino acid covariation in protease and RT sequences from more than 7,000 persons infected with HIV-1 subtype B viruses obtained from the Stanford HIV Drug Resistance Database (http://hivdb.stanford.edu). In addition, we examined the relationship between conditional probabilities associated with a pair of mutations and the order in which those mutations developed in viruses for which longitudinal sequence data were available. Patterns of RT covariation were dominated by the distinct clustering of Type I and Type II thymidine analog mutations and the Q151M-associated mutations. Patterns of protease covariation were dominated by the clustering of nelfinavir-associated mutations (D30N and N88D), two main groups of protease inhibitor (PI)-resistance mutations associated either with V82A or L90M, and a tight cluster of mutations associated with decreased susceptibility to amprenavir and the most recently approved PI darunavir. Different patterns of covariation were frequently observed for different mutations at the same position including the RT mutations T69D versus T69N, L74V versus L74I, V75I versus V75M, T215F versus T215Y, and K219Q/E versus K219N/R, and the protease mutations M46I versus M46L, I54V versus I54M/L, and N88D versus N88S. Sequence data from persons with correlated mutations in whom earlier sequences were available confirmed that the conditional probabilities associated with correlated mutation pairs could be used to predict the order in which the mutations were likely to have developed. Whereas accessory nucleoside RT inhibitor-resistance mutations nearly always follow primary nucleoside RT inhibitor-resistance mutations, accessory PI-resistance mutations often preceded primary PI-resistance mutations.
@article{rhee_hiv-1_2007,
abstract = {Despite the high degree of {HIV-1} protease and reverse transcriptase {(RT)} mutation in the setting of antiretroviral therapy, the spectrum of possible virus variants appears to be limited by patterns of amino acid covariation. We analyzed patterns of amino acid covariation in protease and {RT} sequences from more than 7,000 persons infected with {HIV-1} subtype B viruses obtained from the Stanford {HIV} Drug Resistance Database (http://hivdb.stanford.edu). In addition, we examined the relationship between conditional probabilities associated with a pair of mutations and the order in which those mutations developed in viruses for which longitudinal sequence data were available. Patterns of {RT} covariation were dominated by the distinct clustering of Type I and Type {II} thymidine analog mutations and the {Q151M-associated} mutations. Patterns of protease covariation were dominated by the clustering of nelfinavir-associated mutations {(D30N} and {N88D),} two main groups of protease inhibitor {(PI)-resistance} mutations associated either with {V82A} or {L90M,} and a tight cluster of mutations associated with decreased susceptibility to amprenavir and the most recently approved {PI} darunavir. Different patterns of covariation were frequently observed for different mutations at the same position including the {RT} mutations {T69D} versus {T69N,} {L74V} versus {L74I,} {V75I} versus {V75M,} {T215F} versus {T215Y,} and {K219Q/E} versus {K219N/R,} and the protease mutations {M46I} versus {M46L,} {I54V} versus {I54M/L,} and {N88D} versus {N88S.} Sequence data from persons with correlated mutations in whom earlier sequences were available confirmed that the conditional probabilities associated with correlated mutation pairs could be used to predict the order in which the mutations were likely to have developed. Whereas accessory nucleoside {RT} inhibitor-resistance mutations nearly always follow primary nucleoside {RT} inhibitor-resistance mutations, accessory {PI-resistance} mutations often preceded primary {PI-resistance} mutations.},
added-at = {2011-03-11T10:05:34.000+0100},
author = {Rhee, {Soo-Yon} and Liu, Tommy F and Holmes, Susan P and Shafer, Robert W},
biburl = {https://www.bibsonomy.org/bibtex/279ba47358b86a064c147105a8b4eb489/jelias},
doi = {06-PLCB-RA-0488R2},
interhash = {0026cec988330949bea513aafc568a77},
intrahash = {79ba47358b86a064c147105a8b4eb489},
issn = {1553-7358},
journal = {{PLoS} Computational Biology},
keywords = {Acid Amino Chromosome Disequilibrium, Linkage Mapping, Protease, Reverse Substitution, Transcriptase, Variation {(Genetics)} {HIV-1,} {HIV}},
month = may,
note = {{PMID:} 17500586},
number = 5,
pages = {e87},
timestamp = {2011-03-11T10:05:50.000+0100},
title = {{HIV-1} subtype B protease and reverse transcriptase amino acid covariation},
url = {http://www.ncbi.nlm.nih.gov/pubmed/17500586},
volume = 3,
year = 2007
}