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The time of spread of human immunodeficiency virus type 1 (HIV-1) from lymphoid to nonlymphoid tissues in the course of infection was investigated by sequence comparisons of variants infecting a range of lymphoid and nonlymphoid tissues from three individuals with AIDS in the pl7gag gene and regions flanking the V1/V2 hypervariable regions. Phylogenetic analysis in both regions revealed several lineages in each individual that contained sequences from both lymphoid and nonlymphoid tissues such as the brain. This observation contrasts strongly with the previously described organ-specific sequences in the V3 region in this study population and other investigations. Although individual pairwise comparisons of relatively short sequences such as p17gag are subject to considerable stochastic error, we found that the diversity of gag sequences in variants from lymphoid tissue was consistently lower than that found among variants amplified from the brain. By estimating mean synonymous pairwise distances in the p17gag region, we were able to make an approximate calculation of the ages of populations in different tissues. Those from lymphoid tissue ranged from 2.65 to 5.6 years in the three study subjects, compared with 4.1 to 6.2 years for variants in the brain. Indeed, variants infecting the brain were no more closely related to each other than they were to variants infecting other tissues in the body. In two of the three individuals, these times of divergence indicate that infection of the brain may have occurred as an early event in the progression to disease, preceding the onset of AIDS by several years. This study is the first in which it was possible to estimate times of diversification in different tissues in vivo and is of importance in understanding the dynamics of the spread of HIV-1 into nonlymphoid tissues and its possible adaptation for replication in different cell types.

Type

Journal article

Journal

J Virol

Publication Date

02/1997

Volume

71

Pages

1272 - 1280

Keywords

Acquired Immunodeficiency Syndrome, Brain, Evolution, Molecular, Genes, Viral, Genes, env, Genes, gag, HIV-1, Humans, Molecular Sequence Data, Phylogeny, Sequence Analysis