bioRxivMicrobiology
Spontaneous Mutations in HIV-1 Gag, protease, RT p66 in the first replication cycle and how they appear: Insights from an in vitro BSL2 assay on mutation rates and types.
Abstract
While drug resistant mutations in HIV-1 is largely credited to its error prone HIV-1 RT, host proteins such as deaminases may also play a role generating mutations. Many HIV-1 RT mutational in vitro studies utilize reporter genes (LacZ) as template, leaving out the possible contribution of HIV codon usage and gene-specific effects. To address this gap, we studied HIV-1 RT mutation rates and bias on its own Gag, protease, and RT p66 genes in an in-vitro selection pressure free system. We found rare clinical mutations with a general avoidance of crucial functional sites in the background mutations rates for Gag, protease and RT p66 at 4.71 x 10-5, 6.03 x 10-5, and 7.09 x 10-5 mutations/bp respectively. Gag and p66 genes showed a large number of A to G hypermutations likely due to cellular adenosine deaminases. Comparisons with silently mutated p66 sequences showed an increase in mutation rates (1.88 x 10-4 mutations/bp) and that A to G mutations occurred in regions reminiscent of ADAR neighbour preferences. Mutational free energies by the A to G mutations revealed an avoidance of destabilizing effects with the natural p66 gene codon usage providing barriers to ADAR effects. Our study demonstrates the importance of studying mutation emergence in HIV genes to understand how fast drug resistance can emerge, sometimes with contributions of host deaminases, providing transferable applications to how new viral diseases and drug resistances can emerge.
- organism: virus
- assay: DNA methylation
- assay: proteomics
- research focus: host-pathogen & immune response
- approach: experimental assay
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- In-vivo mutation rates and fitness landscape of HIV-1
Fabio Zanini, Vadim Puller, … Richard Neher·bioRxiv·Jul 1, 2016
- Within-patient HIV mutation frequencies reveal fitness costs of CpG dinucleotides, drastic amino acid changes and G->A mutations
K. Theys, A. Feder, … P. S. Pennings·bioRxiv·Jun 3, 2016
- Experimental estimation of the effects of all amino-acid mutations to HIV Env
Hugh K Haddox, Adam S Dingens, Jesse Bloom·bioRxiv·Aug 2, 2016
- The Impact of Gag Non-Cleavage Site Mutations on HIV-1 Viral Fitness from Integrative Modelling and Simulations
F. Samsudin, S. K. Gan, P. J. Bond·Computational and Structural Biotechnology JournalPeer-reviewed·Jan 1, 2021
- Constrained mutational sampling of amino acids in HIV-1 protease evolution
J. I. Boucher, T. W. Whitfield, … D. N. A. Bolon·bioRxiv·Jan 28, 2019
- The strictly conserved GGG-tracts in the 5' and 3' long terminal repeat of HIV-1 are critical to control multiple steps of HIV-1 replication to prevent acquisition of unwanted mutations in the region
Takeshi Yoshida, Yuho Kasuya, … Hiroyuki Yamamoto·bioRxiv·Apr 26, 2026