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Divergent evolution may link human immunodeficiency virus GP41 to human CD4
A Facchiano1, F Facchiano, J van Renswoude
1Raggio Italgene S.p.A., Pomezia, Roma, Italy.
Journal of Molecular Evolution
|May 1, 1993
Summary
Human immunodeficiency virus (HIV) envelope proteins show sequence similarity to immunoglobulins, suggesting molecular mimicry. This study found a deeper link between HIV gp41 and the CD4 receptor, hinting at divergent evolution.
Area of Science:
- Molecular biology
- Immunology
- Evolutionary biology
Background:
- HIV envelope proteins (gp120 and gp41) exhibit sequence similarity to immunoglobulins, proposing molecular mimicry in HIV-cell interactions and autoimmune responses.
- The potential for a deeper evolutionary relationship between HIV env proteins and immunoglobulin family members warrants investigation.
Purpose of the Study:
- To explore the evolutionary links between HIV env proteins, immunoglobulin family members, and the CD4 receptor.
- To investigate the hypothesis of molecular mimicry in HIV pathogenesis and evolution.
Main Methods:
- DNA sequence analysis comparing HIV env gene regions (gp120, gp41) with the CD4 receptor gene.
- Homology scoring and alignment of env gene sequences against CD4 and a diverse set of 84 other sequences.
- Analysis of alternate reading frames within the CD4 gene for sequence similarity to env proteins.
Main Results:
- A significant DNA sequence similarity was identified between the gp41 coding region and the CD4 receptor gene.
- A unique 14-base oligonucleotide sequence was found in both gp41 and CD4 genes.
- Higher homology scores and nonrandom similarity were observed in the CD4-env gene alignment, suggesting a specific evolutionary link.
- Significant similarity was also detected between the env protein and a sequence encoded by an alternate reading frame of the CD4 gene.
Conclusions:
- The gp41 coding region may have a distinct evolutionary origin from the gp120 coding region.
- Divergent evolution might link gp41 to CD4 or immunoglobulin family members.
- Analyzing alternate reading frame products offers a novel approach to uncover evolutionary links and structure-function relationships in viral proteins.