Biology subjects

Gregori, J.

Publications and source records attributed to Gregori, J..

5 recordsLinked to original sources

bioRxiv2024

Inference with Viral Quasispecies. Methods for Individual Samples Comparative Analysis.

The study of viral quasispecies structure and diversity poses distinct challenges when comparing samples, particularly in scenarios involving single observations from individual biosamples collected at different time points or under varying conditions. In such cases, each biosample is summarized by a quasispecies haplotype rank-abundance vector, rendering traditional statistical methods inapplicable due to the lack of replicates. Quasispecies structure indicators are functions of multinomial parameters, whose asymptotic normality is guaranteed by the continuous differentiability of these indicator functions and sufficiently large sample sizes. Accurate variance estimation for these indicators is critical for reliable inference. This study contrasts three approaches for variance estimation: analytical first-order approximations via the Delta method, and variance estimates obtained through Bootstrap resampling (with replacement, infinite population), and through resampling without replacement using the random delete-d jackknife (finite sample). Exact binomial variances of selected proportions are used as benchmarks to calibrate the resampling methods. We analyze the intrinsic sampling properties of each quasispecies indicator using high-depth next-generation sequencing data from a hepatitis C virus (HCV) cell culture experiment. Our results show that while a subset of indicators yield comparable and close variance estimates across methods, metrics highly sensitive to fluctuations in rare haplotype fractions exhibit substantial divergence. Limitations inherent to the resampling methods are discussed. The analytic approach and tests based on normality are finally recommended.

bioinformatics↗

bioRxiv2020

Amino acid substitutions associated with treatment failure of hepatitis C virus infection

Despite the high virological response rates achieved with current directly-acting antiviral agents (DAAs) against hepatitis C virus (HCV), around 2% to 5% of treated patients do not achieve a sustained viral response. Identification of amino acid substitutions associated with treatment failure requires analytical designs, such as subtype-specific ultra-deep sequencing (UDS) methods for HCV characterization and patient management. Using this procedure, we have identified six highly represented amino acid substitutions (HRSs) in NS5A and NS5B of HCV from 220 patients who failed therapy, which are not bona fide resistance-associated substitutions (RAS). They were present frequently in basal and post-treatment virus of patients who failed therapy to different DAA-based therapies. Contrary to several RAS, HRSs belong to the acceptable subset of substitutions according to the PAM250 replacement matrix. Coherently, their mutant frequency, measured by the number of deep sequencing reads within the HCV quasispecies that encode the relevant substitutions, ranged between 90% and 100% in most cases. Also, they have limited predicted disruptive effects on the three-dimensional structures of the proteins harboring them. Possible mechanisms of HRS origin and dominance, as well as their potential predictive value of treatment response are discussed.

microbiology↗

bioRxiv2020

Dissimilar conservation pattern in hepatitis C virus mutant spectra, consensus sequences, and data banks

The influence of quasispecies dynamics on long-term virus diversification in nature is a largely unexplored question. Specifically, whether intra-host nucleotide and amino acid variation in quasispecies fits variation observed in consensus sequences or data bank alignments is unknown. Genome conservation and dynamics simulations are used for the computational design of universal vaccines, therapeutic antibodies and pan-genomic antiviral agents. The expectation is that selection of escape mutants will be limited when mutations at conserved residues are required. This strategy assumes long-term (epidemiologically relevant) conservation but, critically, does not consider short-term (quasispecies-dictated) residue conservation. We have calculated mutant frequencies of individual loci from mutant spectra of hepatitis C virus (HCV) populations passaged in cell culture and from infected patients. Nucleotide or amino acid conservation in consensus sequences of the same populations, or in the Los Alamos HCV data bank did not match residue conservation in mutant spectra. The results relativize the concept of sequence conservation in viral genetics, and suggest that residue invariance in data banks is an insufficient basis for the design of universal viral ligands for clinical purposes. Our calculations suggest relaxed mutational restrictions during quasispecies dynamics, which may contribute to higher calculated short-term than long-term viral evolutionary rates.

microbiology↗

bioRxiv2020

Naturally occurring SARS-CoV-2 gene deletions close to the spike S1/S2 cleavage site in the viral quasispecies of COVID19 patients

The SARS-CoV-2 spike (S) protein, the viral mediator for binding and entry into the host cell, has sparked great interest as a target for vaccine development and treatments with neutralizing antibodies. Initial data suggest that the virus has low mutation rates, but its large genome could facilitate recombination, insertions, and deletions, as has been described in other coronaviruses. Here, we deep-sequenced the complete SARS-CoV-2 S gene from 18 patients (10 with mild and 8 with severe COVID-19), and found that the virus accumulates deletions upstream and very close to the S1/S2 cleavage site, generating a frameshift with appearance of a stop codon. These deletions were found in a small percentage of the viral quasispecies (2.2%) in samples from all the mild and only half the severe COVID-19 patients. Our results suggest that the virus may generate free S1 protein released to the circulation. We propose that natural selection has favored a "Dont burn down the house" strategy, in which free S1 protein may compete with viral particles for the ACE2 receptor, thus reducing the severity of the infection and tissue damage without losing transmission capability.

microbiology↗

bioRxiv2018

HIV-1 Protease Evolvability is Affected by Synonymous Nucleotide Recoding

One unexplored aspect of HIV-1 genetic architecture is how codon choice influences population diversity and evolvability. Here we compared the development of HIV-1 resistance to protease inhibitors (PIs) between wild-type (WT) virus and a synthetic virus (MAX) carrying a codon-pair re-engineered protease sequence including 38 (13%) synonymous mutations. WT and MAX viruses showed indistinguishable replication in MT-4 cells or PBMCs. Both viruses were subjected to serial passages in MT-4 cells with selective pressure from the PIs atazanavir (ATV) and darunavir (DRV). After 32 successive passages, both the WT and MAX viruses developed phenotypic resistance to PIs (IC50 14.6 {+/-} 5.3 and 21.2 {+/-} 9 nM for ATV, and 5. 9 {+/-} 1.0 and 9.3 {+/-} 1.9 for DRV, respectively). Ultra-deep sequence clonal analysis revealed that both viruses harbored previously described resistance mutations to ATV and DRV. However, the WT and MAX virus proteases showed different resistance variant repertoires, with the G16E and V77I substitutions observed only in WT, and the L33F, S37P, G48L, Q58E/K, and L89I substitutions detected only in MAX. Remarkably, G48L and L89I are rarely found in vivo in PI-treated patients. The MAX virus showed significantly higher nucleotide and amino acid diversity of the propagated viruses with and without PIs (P < 0.0001), suggesting higher selective pressure for change in this recoded virus. Our results indicate that HIV-1 protease position in sequence space delineates the evolution of its mutant spectra. Nevertheless, the investigated synonymously recoded variant showed mutational robustness and evolvability similar to the WT virus.\n\nIMPORTANCELarge-scale synonymous recoding of virus genomes is a new tool for exploring various aspects of virus biology. Synonymous virus genome recoding can be used to investigate how a viruss position in sequence space defines its mutant spectrum, evolutionary trajectory, and pathogenesis. In this study, we evaluated how synonymous recoding of the human immunodeficiency virus type 1 (HIV-1) protease impacts the development of protease inhibitor (PI) resistance. HIV-1 protease is a main target of current antiretroviral therapies. Our present results demonstrate that the wild-type (WT) virus and the virus with the recoded protease exhibited different patterns of resistance mutations after PI treatment. Nevertheless, the developed PI resistance phenotype was indistinguishable between the recoded virus and the WT virus, suggesting that the synonymously recoded protease HIV-1 and the WT protease virus were equally robust and evolvable.

evolutionary biology↗