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Host-specific modulation of the selective constraints driving human immunodeficiency virus type 1 env gene evolution
P Bagnarelli1, F Mazzola, S Menzo
1Institute of Microbiology, University of Ancona, Ancona, Italy. bagnarelli@popcsi.unian.it
Journal of Virology
|April 10, 1999
Summary
Human immunodeficiency virus type 1 (HIV-1) evolution differs between typical and slow progressors. Slow progressors exhibit lower genetic similarity and higher host-selective pressure, indicating distinct viral evolutionary dynamics.
Area of Science:
- Virology
- Evolutionary Biology
- Immunology
Background:
- Human immunodeficiency virus type 1 (HIV-1) exhibits significant intra-host evolution.
- Understanding HIV-1 evolutionary dynamics is crucial for predicting disease progression and developing effective treatments.
Purpose of the Study:
- To investigate the differences in HIV-1 evolution between typical progressors (TPs) and slow progressors (SPs) within individual hosts.
- To analyze the evolutionary patterns of the C2-V5 env regions from both cell-free RNA and proviral DNA.
Main Methods:
- Analysis of 506 molecular clones (253 RNA, 253 DNA) from the C2-V5 env regions of HIV-1.
- Sequential sampling over 3 years from six untreated subjects (3 TPs, 3 SPs).
- Comparative evolutionary analysis of nucleotide similarity, divergence, host-selective pressure, and substitution rates (Ka/Ks).
Main Results:
- Slow progressors (SPs) showed lower nucleotide similarity and higher intra- and intersample divergence in both DNA and RNA clones compared to typical progressors (TPs).
- Higher host-selective pressure was generally observed in SPs.
- Evolutionary rates differed, with TPs showing increases in both synonymous (Ks) and nonsynonymous (Ka) substitutions, while SPs primarily showed increases in Ka.
Conclusions:
- Distinct evolutionary pathways exist for HIV-1 in TPs and SPs, influenced by host-specific selective pressures.
- The analysis of env hypervariable regions and Ka/Ks ratios provides insights into host-virus interactions and modulation of selective constraints.