Relaxation of adaptive evolution during the HIV-1 infection owing to reduction of CD4+ T cell counts

Is the tryptophan codon of gene vif the Achilles' heel of HIV-1?

To evaluate the impact of hypermutation on the HIV-1 dissemination at the population level we studied 7072 sequences HIV-1 gene vif retrieved from the public databank. From this dataset 854 sequences were selected because they had associated values of CD4+ T lymphocytes counts and viral loads and they were used to assess the correlation between clinical parameters and hypermutation. We found that the frequency of stop codons at sites 5, 11 and 79 ranged from 2.8x10^-4 to 4.2x10^-4. On the other hand, at codons 21, 38, 70, 89 and 174 the frequency of stop codons ranged from 1.4x10^-3 to 2.5x10^-3. We also found a correlation between clinical parameters and hypermutation where patients harboring proviruses with one or more stop codons at the tryptophan sites of the gene vif had higher CD4+ T lymphocytes counts and lower viral loads compared to the population. Our findings indicate that A3 activity potentially restrains HIV-1 replication because individuals with hypermutated proviruses tend to have lower numbers of RNA copies. However, owing to the low frequency of hypermutated sequences observed in the databank (44 out of 7072), it is unlikely that A3 has a significant impact to curb HIV-1 dissemination at the population level.

HIV N-linked glycosylation site analyzer and its further usage in anchored alignment

N-linked glycosylation is a posttranslational modification that has significantly contributed to the rapid evolution of HIV-1. In particular, enrichment of N-linked glycosylation sites can be found within Envelope variable loops, regions that play an essential role in HIV pathogenesis and immunogenicity. The web server described here, the HIV N-linked Glycosylation Site Analyzer, was developed to facilitate study of HIV diversity by tracking gp120 N-linked glycosylation sites. This server provides an automated platform for mapping and comparing variable loop N-linked glycosylation sites across populations of HIV-1 sequences. Furthermore, this server allows for refinement of HIV-1 sequence alignment by using N-linked glycosylation sites in variable loops as alignment anchors. Availability of this web server solves one of the difficult problems in HIV gp120 alignment and analysis imposed by the extraordinary HIV-1 diversity. The HIV N-linked Glycosylation Site Analyzer web server is available at http://hivtools.publichealth.uga.edu/N-Glyco/.

Codon pairs of the HIV-1 vif gene correlate with CD4+ T cell count

Background

The human APOBEC3G (A3G) protein activity is associated with innate immunity against HIV-1 by inducing high rates of guanosines to adenosines (G-to-A) mutations (viz., hypermutation) in the viral DNA. If hypermutation is not enough to disrupt the reading frames of viral genes, it may likely increase the HIV-1 diversity. To counteract host innate immunity HIV-1 encodes the Vif protein that binds A3G protein and form complexes to be degraded by cellular proteolysis.

Methods

Here we studied the pattern of substitutions in the vif gene and its association with clinical status of HIV-1 infected individuals. To perform the study, unique vif gene sequences were generated from 400 antiretroviral-naïve individuals.

Results

The codon pairs: 78–154, 85–154, 101–157, 105–157, and 105–176 of vif gene were associated with CD4+ T cell count lower than 500 cells per mm³. Some of these codons were located in the ⁸¹LGQGVSIEW⁸⁹ region and within the BC-Box. We also identified codons under positive selection clustered in the N-terminal region of Vif protein, between ²¹WKSLVK²⁶ and ⁴⁰YRHHY⁴⁴ regions (i.e., 31, 33, 37, 39), within the BC-Box (i.e., 155, 159) and the Cullin5-Box (i.e., 168) of vif gene. All these regions are involved in the Vif-induced degradation of A3G/F complexes and the N-terminal of Vif protein binds to viral and cellular RNA.

Conclusions

Adaptive evolution of vif gene was mostly to optimize viral RNA binding and A3G/F recognition. Additionally, since there is not a fully resolved structure of the Vif protein, codon pairs associated with CD4+ T cell count may elucidate key regions that interact with host cell factors. Here we identified and discriminated codons under positive selection and codons under functional constraint in the vif gene of HIV-1.