PMID- 20637314 OWN - NLM STAT- MEDLINE DCOM- 20110318 LR - 20101005 IS - 1567-7257 (Electronic) IS - 1567-1348 (Linking) VI - 10 IP - 8 DP - 2010 Dec TI - An introduction to a novel population genetic approach for HIV characterization. PG - 1155-64 LID - 10.1016/j.meegid.2010.07.010 [doi] AB - The rapid evolution of the HIV genome is influenced in part by host selection pressure, which may cause parallel evolution among strains under shared selection pressures. To understand the mechanisms behind HIV-host immune escape across host populations, researchers have compared signatures of positive selection pressure on HIV codons across HIV subtypes and across phylogenetic groups of isolates within major subtypes, all relying on a criterion of phylogenetic separation. The HIV codon sites that retain diversity, evolve convergently among sets of hosts (cohorts) and diverge between cohorts may be phylogenetically undiagnostic (reveal little information about the relationship of the strains) and thus undetectable on a tree. We propose a new approach to characterizing genetic divergence among isolates using existing population genetic methods to better understand HIV response to host selection pressures. The approach combines population genetic statistical methods with codon analysis to identify putative amino acid sites evolving convergently. To illustrate the approach, we compared the C2-V3-C3 region of the envelope protein of HIV-1 clade B isolates between Haiti and USA hosts. This region showed no phylogenetic separation between host populations. Still, we identified codon sites in the C2-V3-C3 HIV-1 region that may have evolved differently between the two host populations. The sites are localized in human leukocyte antigen (HLA) class I binding epitopes, N-glycosylation motifs or both and are limited to the C2 and C3 regions. Our method provides a potential means to reveal candidate sites actively involved in HIV-1 immune escape that would otherwise be missed if a requisite for phylogenetic distinctiveness was made a priori. This strategy may prove to be a helpful way to characterize HIV genetic variation among hosts with suspected selection pressure differences, like progressors versus non-progressors. CI - Copyright (c) 2010 Elsevier B.V. All rights reserved. FAU - Perez-Sweeney, Beatriz AU - Perez-Sweeney B AD - American Museum of Natural History, Sackler Institute for Comparative Genomics, New York, NY, USA. bperez-sweeney@amnh.org FAU - DeSalle, Rob AU - DeSalle R FAU - Ho, John L AU - Ho JL LA - eng GR - 5R01 HL61960/HL/NHLBI NIH HHS/United States GR - D43 TW00018/TW/FIC NIH HHS/United States GR - D43 TW00018-S3/TW/FIC NIH HHS/United States GR - R01 HL61960S/HL/NHLBI NIH HHS/United States GR - R21 AI62332/AI/NIAID NIH HHS/United States GR - U2R TW006901/TW/FIC NIH HHS/United States PT - Journal Article PT - Research Support, N.I.H., Extramural DEP - 20100714 PL - Netherlands TA - Infect Genet Evol JT - Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases JID - 101084138 RN - 0 (Codon) RN - 0 (HIV Envelope Protein gp120) RN - 0 (HLA-A Antigens) SB - IM MH - Amino Acid Sequence MH - Codon MH - *Evolution, Molecular MH - *Genetic Variation MH - HIV Envelope Protein gp120/*chemistry/*genetics MH - HIV Infections/immunology/virology MH - HIV-1/chemistry/*genetics/immunology MH - HLA-A Antigens/immunology MH - Haiti MH - Humans MH - Immune Evasion MH - Phylogeny MH - *Selection, Genetic MH - United States EDAT- 2010/07/20 06:00 MHDA- 2011/03/19 06:00 CRDT- 2010/07/20 06:00 PHST- 2010/04/15 00:00 [received] PHST- 2010/07/06 00:00 [revised] PHST- 2010/07/06 00:00 [accepted] PHST- 2010/07/20 06:00 [entrez] PHST- 2010/07/20 06:00 [pubmed] PHST- 2011/03/19 06:00 [medline] AID - S1567-1348(10)00198-X [pii] AID - 10.1016/j.meegid.2010.07.010 [doi] PST - ppublish SO - Infect Genet Evol. 2010 Dec;10(8):1155-64. doi: 10.1016/j.meegid.2010.07.010. Epub 2010 Jul 14.