Phylogenetic analysis of RT sequences from free plasma virus and from provirus in resting CD4+ T cells of patient 147. (A) Sampling timeline. After an initial blood draw for baseline analysis of plasma and latent reservoir sequences, the patient began a period of intensive sampling with visits every 2 to 3 days, as indicated by colored vertical lines and symbols. Note that each color represents five or six consecutive study visits. The number of clones obtained at each time point was roughly constant for each patient. A single follow-up sample was obtained 1 month after the intensive sampling period. (B) Maximum likelihood phylogenetic tree of RT sequences from plasma (triangles) and from resting CD4+ T cells (circles). The sequences represent codons 38 to 219 of RT. Clusters of five or more identical sequences are boxed. Individual taxa are numbered from top to bottom, and numbers are shown for taxa that illustrate coclustering of plasma and cellular sequences or release of wild-type virus into the plasma (Table 1). All sequences from patient 147 clustered together, away from those of other study patients and reference sequences (HXB2, JRFL, and SF2). Patient-specific clustering was observed for all patients studied. (C) RT genotype of plasma and cellular sequences. This patient was initially treated with AZT, 3TC, and indinavir for approximately 1 year. Then, 65 months prior to entry, he began a regimen consisting of EFV along with the PIs ritonavir (RTV) and saquinavir (SQV) and various nucleoside/nucleotide RT inhibitors (NRTIs). RTV was given at full dose. Although there were some treatment interruptions early on, the patient maintained good suppression of viremia on these regimens. At 15 months prior to entry, the patient began a regimen of EFV, RTV, and SQV along with the NRTIs 3TC and tenofovir (TDF). This was taken throughout the study. Colored boxes indicate the mutations conferring resistance to NRTIs (red) or NNRTIs (blue). (D) Predicted phenotype of each RT sequence in the presence of RT inhibitors used in prior regimens or the regimen taken during the study period. Predictions were made using a well-characterized, rules-based algorithm developed by R. W. Shafer and colleagues (http://hivdb.stanford.edu/). Colors indicate predicted levels of resistance to the indicated drugs. d4T, stavudine.