TABLE 1.
Analysis of population structure between provirus derived from activated and resting CD4+ T cells
| Patienta | Gene amplified | PPC presentb | No. of independent sequences in cells
|
SM analysisc
|
AMOVA analysis
|
Molecular diversity (π)
|
|||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Activated cells | Resting cells |
P
|
Adjusted Pd
|
Migration events (ML/BI) | % Variation among or within populations | P | Adjusted P | Activated CD4+ T cells | Resting CD4+ T cells | ||||||
| ML | BI | ML | BI | ||||||||||||
| 154* | RT | Yes | 24 | 242 | 0.130 | 0.140 | 0.170 | 0.209 | 22/22 | -0.25 | 100.25 | 0.602 | 0.63 | 0.019 | 0.020 |
| 1† | Env | NA | 28 | 32 | 0.103 | 0.537 | 0.170 | 0.604 | 17/20 | 1.19 | 98.81 | 0.117 | 0.263 | 0.028 | 0.018 |
| 2† | Env | NA | 23 | 20 | 0.683 | 0.504 | 0.768 | 0.604 | 15/14 | 1.07 | 98.93 | 0.240 | 0.309 | 0.117 | 0.096 |
| 4† | Env | NA | 21 | 22 | 0.106 | 0.043 | 0.170 | 0.097 | 12/11 | 0.65 | 99.35 | 0.186 | 0.297 | 0.090 | 0.107 |
| 5† | Env | NA | 21 | 17 | 0.022 | 0.036 | 0.100 | 0.095 | 9/9 | 10.75 | 89.25 | 0.025 | 0.075 | 0.065 | 0.035 |
| 7† | Env | NA | 20 | 22 | 0.132 | 0.021 | 0.170 | 0.100 | 12/10 | 1.97 | 98.03 | 0.198 | 0.297 | 0.066 | 0.054 |
| 8† | Env | NA | 21 | 17 | 0.871 | 0.871 | 0.871 | 0.871 | 14/14 | -0.94 | 100.94 | 0.633 | 0.633 | 0.034 | 0.038 |
| J2‡ | Env | NA | 22 | 20 | 0.002 | 0.000 | 0.018 | 0.000 | 8/8 | 19.73 | 80.27 | 0.000 | 0.000 | 0.080 | 0.095 |
| J7‡ | Env | NA | 28 | 28 | 0.120 | 0.112 | 0.170 | 0.112 | 16/16 | 4.02 | 95.98 | 0.022 | 0.075 | 0.067 | 0.091 |
*, Patient sequences derived from Bailey et al. (1); †, patient sequences derived from Chun et al. (10); ‡, patient sequences derived from Chun et al. (11).
A PPC was previously defined as being a sequence that represented >50% of all independent sequences from the plasma and <1% of all independent proviral sequences from the resting CD4+ T-cell compartment (1). NA, not applicable (patients could not be evaluated for the presence of a PPC).
ML, phylogenetic trees were generated via a classical ML approach; BI, phylogenetic trees were generated via a Bayesian inference approach.
“Adjusted P” refers to P values obtained for both the SM tests and the AMOVA tests subjected to Benjamini-Hochberg FDR corrections, treating P values obtained by using the ML approach separately from those obtained using BI and both separately from the AMOVA tests (2).