scholarly journals Adaptive potential of a drug-targeted viral protein as a function of environmental stress

2016 ◽  
Author(s):  
Lei Dai ◽  
Yushen Du ◽  
Hangfei Qi ◽  
Christian D. Huber ◽  
Nicholas C. Wu ◽  
...  

AbstractRNA viruses are notorious for their ability to evolve rapidly under selection in novel environments. It is known that the high mutation rate of RNA viruses can generate huge genetic diversity to facilitate viral adaptation. However, less attention has been paid to the underlying fitness landscape that represents the selection forces on viral genomes. Here we systematically quantified the distribution of fitness effects (DFE) of about 1,600 single amino acid substitutions in the drug-targeted region of NS5A protein of Hepatitis C Virus (HCV). We found that the majority of non-synonymous substitutions incur large fitness costs, suggesting that NS5A protein is highly optimized in natural conditions. We characterized the adaptive potential of HCV by subjecting the mutant viruses to selection by the antiviral drug Daclatasvir. Both the selection coefficient and the number of beneficial mutations are found to increase with the level of environmental stress, which is modulated by the concentration of Daclatasvir. The changes in the spectrum of beneficial mutations in NS5A protein can be explained by a pharmacodynamics model describing viral fitness as a function of drug concentration. We test theoretical predictions regarding the distribution of beneficial fitness effects of mutations. We also interpret the data in the context of Fisher’s Geometric Model and find an increased distance to optimum as a function of environmental stress. Finally, we show that replication fitness of viruses is correlated with the pattern of sequence conservation in nature and viral evolution is constrained by the need to maintain protein stability.

mSystems ◽  
2021 ◽  
Vol 6 (2) ◽  
Author(s):  
Lei Dai ◽  
Yushen Du ◽  
Hangfei Qi ◽  
Christian D. Huber ◽  
Dongdong Chen ◽  
...  

ABSTRACT RNA viruses, such as hepatitis C virus (HCV), influenza virus, and SARS-CoV-2, are notorious for their ability to evolve rapidly under selection in novel environments. It is known that the high mutation rate of RNA viruses can generate huge genetic diversity to facilitate viral adaptation. However, less attention has been paid to the underlying fitness landscape that represents the selection forces on viral genomes, especially under different selection conditions. Here, we systematically quantified the distribution of fitness effects of about 1,600 single amino acid substitutions in the drug-targeted region of NS5A protein of HCV. We found that the majority of nonsynonymous substitutions incur large fitness costs, suggesting that NS5A protein is highly optimized. The replication fitness of viruses is correlated with the pattern of sequence conservation in nature, and viral evolution is constrained by the need to maintain protein stability. We characterized the adaptive potential of HCV by subjecting the mutant viruses to selection by the antiviral drug daclatasvir at multiple concentrations. Both the relative fitness values and the number of beneficial mutations were found to increase with the increasing concentrations of daclatasvir. The changes in the spectrum of beneficial mutations in NS5A protein can be explained by a pharmacodynamics model describing viral fitness as a function of drug concentration. Overall, our results show that the distribution of fitness effects of mutations is modulated by both the constraints on the biophysical properties of proteins (i.e., selection pressure for protein stability) and the level of environmental stress (i.e., selection pressure for drug resistance). IMPORTANCE Many viruses adapt rapidly to novel selection pressures, such as antiviral drugs. Understanding how pathogens evolve under drug selection is critical for the success of antiviral therapy against human pathogens. By combining deep sequencing with selection experiments in cell culture, we have quantified the distribution of fitness effects of mutations in hepatitis C virus (HCV) NS5A protein. Our results indicate that the majority of single amino acid substitutions in NS5A protein incur large fitness costs. Simulation of protein stability suggests viral evolution is constrained by the need to maintain protein stability. By subjecting the mutant viruses to selection under an antiviral drug, we find that the adaptive potential of viral proteins in a novel environment is modulated by the level of environmental stress, which can be explained by a pharmacodynamics model. Our comprehensive characterization of the fitness landscapes of NS5A can potentially guide the design of effective strategies to limit viral evolution.


2020 ◽  
Author(s):  
Florian Mattenberger ◽  
Victor Latorre ◽  
Omer Tirosh ◽  
Adi Stern ◽  
Ron Geller

ABSTRACTThe capsids of non-enveloped viruses are highly multimeric and multifunctional protein assemblies that protect the viral genome between infection cycles, dictate host and cell tropism, and mediate evasion of humoral immune responses. As such, capsids play key roles in viral biology and pathogenesis. Despite their importance, a comprehensive understanding of how mutations affect viral fitness across different structural and functional attributes of the capsid is lacking. To address this limitation, we globally define the effects of mutations in the capsid of a human picornavirus, generating a comprehensive dataset encompassing >90% of all possible single amino acid mutations. Moreover, we use this information to identify structural and sequence determinants that accurately predict mutational fitness effects, refine evolutionary analyses, and define the sequence specificity of key capsid encoded motifs. Finally, capitalizing on the sequence requirements identified in our dataset for capsid encoded protease cleavage sites, we implement and validate a bioinformatic approach for identifying novel host proteins targeted by viral proteases. Our findings present the most comprehensive investigation of mutational fitness effects in a picornavirus capsid to date and illuminate important aspects of viral biology, evolution, and host interactions.


Author(s):  
Pamela A Cote-Hammarlof ◽  
Inês Fragata ◽  
Julia Flynn ◽  
David Mavor ◽  
Konstantin B Zeldovich ◽  
...  

Abstract The distribution of fitness effects (DFEs) of new mutations across different environments quantifies the potential for adaptation in a given environment and its cost in others. So far, results regarding the cost of adaptation across environments have been mixed, and most studies have sampled random mutations across different genes. Here, we quantify systematically how costs of adaptation vary along a large stretch of protein sequence by studying the distribution of fitness effects of the same ≈2,300 amino-acid changing mutations obtained from deep mutational scanning of 119 amino acids in the middle domain of the heat shock protein Hsp90 in five environments. This region is known to be important for client binding, stabilization of the Hsp90 dimer, stabilization of the N-terminal-Middle and Middle-C-terminal interdomains, and regulation of ATPase–chaperone activity. Interestingly, we find that fitness correlates well across diverse stressful environments, with the exception of one environment, diamide. Consistent with this result, we find little cost of adaptation; on average only one in seven beneficial mutations is deleterious in another environment. We identify a hotspot of beneficial mutations in a region of the protein that is located within an allosteric center. The identified protein regions that are enriched in beneficial, deleterious, and costly mutations coincide with residues that are involved in the stabilization of Hsp90 interdomains and stabilization of client-binding interfaces, or residues that are involved in ATPase–chaperone activity of Hsp90. Thus, our study yields information regarding the role and adaptive potential of a protein sequence that complements and extends known structural information.


Viruses ◽  
2020 ◽  
Vol 12 (10) ◽  
pp. 1086
Author(s):  
Francois Helle ◽  
Lynda Handala ◽  
Marine Bentz ◽  
Gilles Duverlie ◽  
Etienne Brochot

Extracellular vesicles have recently emerged as a novel mode of viral transmission exploited by naked viruses to exit host cells through a nonlytic pathway. Extracellular vesicles can allow multiple viral particles to collectively traffic in and out of cells, thus enhancing the viral fitness and diversifying the transmission routes while evading the immune system. This has been shown for several RNA viruses that belong to the Picornaviridae, Hepeviridae, Reoviridae, and Caliciviridae families; however, recent studies also demonstrated that the BK and JC viruses, two DNA viruses that belong to the Polyomaviridae family, use a similar strategy. In this review, we provide an update on recent advances in understanding the mechanisms used by naked viruses to hijack extracellular vesicles, and we discuss the implications for the biology of polyomaviruses.


2016 ◽  
Author(s):  
Paula Tataru ◽  
Maéva Mollion ◽  
Sylvain Glemin ◽  
Thomas Bataillon

ABSTRACTThe distribution of fitness effects (DFE) encompasses deleterious, neutral and beneficial mutations. It conditions the evolutionary trajectory of populations, as well as the rate of adaptive molecular evolution (α). Inference of DFE and α from patterns of polymorphism (SFS) and divergence data has been a longstanding goal of evolutionary genetics. A widespread assumption shared by numerous methods developed so far to infer DFE and α from such data is that beneficial mutations contribute only negligibly to the polymorphism data. Hence, a DFE comprising only deleterious mutations tends to be estimated from SFS data, and α is only predicted by contrasting the SFS with divergence data from an outgroup. Here, we develop a hierarchical probabilistic framework that extends on previous methods and also can infer DFE and α from polymorphism data alone. We use extensive simulations to examine the performance of our method. We show that both a full DFE, comprising both deleterious and beneficial mutations, and α can be inferred without resorting to divergence data. We demonstrate that inference of DFE from polymorphism data alone can in fact provide more reliable estimates, as it does not rely on strong assumptions about a shared DFE between the outgroup and ingroup species used to obtain the SFS and divergence data. We also show that not accounting for the contribution of beneficial mutations to polymorphism data leads to substantially biased estimates of the DFE and α. We illustrate these points using our newly developed framework, while also comparing to one of the most widely used inference methods available.


mBio ◽  
2018 ◽  
Vol 9 (2) ◽  
Author(s):  
Manabu Aoki ◽  
Debananda Das ◽  
Hironori Hayashi ◽  
Hiromi Aoki-Ogata ◽  
Yuki Takamatsu ◽  
...  

ABSTRACTDarunavir (DRV) has bimodal activity against HIV-1 protease, enzymatic inhibition and protease dimerization inhibition, and has an extremely high genetic barrier against development of drug resistance. We previously generated a highly DRV-resistant HIV-1 variant (HIVDRVRP51). We also reported that four amino acid substitutions (V32I, L33F, I54M, and I84V) identified in the protease of HIVDRVRP51are largely responsible for its high-level resistance to DRV. Here, we attempted to elucidate the role of each of the four amino acid substitutions in the development of DRV resistance. We found that V32I is a key substitution, which rarely occurs, but once it occurs, it predisposes HIV-1 to develop high-level DRV resistance. When two infectious recombinant HIV-1 clones carrying I54M and I84V (rHIVI54Mand rHIVI84V, respectively) were selected in the presence of DRV, V32I emerged, and the virus rapidly developed high-level DRV resistance. rHIVV32Ialso developed high-level DRV resistance. However, wild-type HIVNL4-3(rHIVWT) failed to acquire V32I and did not develop DRV resistance. Compared to rHIVWT, rHIVV32Iwas highly susceptible to DRV and had significantly reduced fitness, explaining why V32I did not emerge upon selection of rHIVWTwith DRV. When the only substitution is at residue 32, structural analysis revealed much stronger van der Waals interactions between DRV and I-32 than between DRV and V-32. These results suggest that V32I is a critical amino acid substitution in multiple pathways toward HIV-1’s DRV resistance development and elucidate, at least in part, a mechanism of DRV’s high genetic barrier to development of drug resistance. The results also show that attention should be paid to the initiation or continuation of DRV-containing regimens in people with HIV-1 containing the V32I substitution.IMPORTANCEDarunavir (DRV) is the only protease inhibitor (PI) recommended as a first-line therapeutic and represents the most widely used PI for treating HIV-1-infected individuals. DRV possesses a high genetic barrier to development of HIV-1’s drug resistance. However, the mechanism(s) of the DRV’s high genetic barrier remains unclear. Here, we show that the preexistence of certain single amino acid substitutions such as V32I, I54M, A71V, and I84V in HIV-1 protease facilitates the development of high-level DRV resistance. Interestingly, allin vitro-selected highly DRV-resistant HIV-1 variants acquired V32I but never emerged in wild-type HIV (HIVWT), and V32I itself rendered HIV-1 more sensitive to DRV and reduced viral fitness compared to HIVWT, strongly suggesting that the emergence of V32I plays a critical role in the development of HIV-1’s resistance to DRV. Our results would be of benefit in the treatment of HIV-1-infected patients receiving DRV-containing regimens.


2019 ◽  
Vol 5 (Supplement_1) ◽  
Author(s):  
Marina Escalera-Zamudio ◽  
Bernardo Gutiérrez ◽  
Julien Thézé ◽  
Oliver G Pybus

Abstract A combination of high rates of mutation and replication, coupled with strong natural selection, ensures that RNA viruses experience rapid genotypic and phenotypic evolution. Such a ‘fast-forward’ evolution enables viruses to rapidly adapt to new host species, evade host immune responses, and to develop resistance to anti-viral drugs. Similarly, rapid evolution allows viruses to attain new levels of virulence, defined as the ability to cause severe disease in hosts. We hypothesize that distinct viral groups share genetic determinants that modulate virulence that have been acquired through convergent evolution. Thus, common patterns reflecting changing virulence-related specific viral groups could be detected. The main goals for this project are (1) to understand how genetic and phenotypic diversity can be generated among different viral groups by analyzing the variation patterns and determining the selective forces behind them (impact in viral fitness) and (2) to understand how fixed mutations can modulate virulence within different viral groups by performing comparison of strains with differing virulence within a longitudinal timescale. The subject of the study is key emerging and re-emerging virus families of medical importance. Such groups include: Coronaviridae (severe acute respiratory syndrome and Middle East respiratory syndrome-associated coronaviruses), Picornaviridae (Hepatitis A virus), Flaviviridae (Yellow fever, West Nile, Hepatitis C, Dengue, and Zika viruses), Togaviridae (Rubella and Chikungunya virus), Bornaviridae (Borna-disease virus), Filoviridae (Ebola and Marburg viruses), Paramyxoviridae (Measles, Nipah, and Hendra viruses), Rhabdoviridae (Lyssaviruses), Arenaviridae (Lassa virus), Bunyaviridae (Hanta- and Crimean-Congo hemorrhagic fever viruses), and Orthomyxoviridae (Influenza A viruses). Viral genomes collected at different time points, different hosts (human and their most closely related animal reservoirs) and different locations will be compiled. Extensive molecular evolutionary analyses will be carried out to infer gene expansion/contraction within groups, rates of evolution, and changes in selection pressure, including the detection of positive selected genes and sites (adaptive evolution). Positively selected sites will be mapped onto the viral protein structures to reveal their impact on function, and hence the location of potential virulence determinants. Virulence changes among particular viral strains and types will be defined and measured according to definitions based on an increase in: (1) transmissibility, (2) host tropism, (3) immune evasion, (4) morbidity and mortality, (5) drug resistance, and by the incorporation of epidemiological data to determine whether high or low virulence strains within different hosts and localities are spreading most efficiently in nature.


2020 ◽  
Vol 28 ◽  
pp. 204020662097678
Author(s):  
Johanna Huchting

Zoonotic spillover, i.e. pathogen transmission from animal to human, has repeatedly introduced RNA viruses into the human population. In some cases, where these viruses were then efficiently transmitted between humans, they caused large disease outbreaks such as the 1918 flu pandemic or, more recently, outbreaks of Ebola and Coronavirus disease. These examples demonstrate that RNA viruses pose an immense burden on individual and public health with outbreaks threatening the economy and social cohesion within and across borders. And while emerging RNA viruses are introduced more frequently as human activities increasingly disrupt wild-life eco-systems, therapeutic or preventative medicines satisfying the “one drug-multiple bugs”-aim are unavailable. As one central aspect of preparedness efforts, this review digs into the development of broadly acting antivirals via targeting viral genome synthesis with host- or virus-directed drugs centering around nucleotides, the genomes’ universal building blocks. Following the first strategy, selected examples of host de novo nucleotide synthesis inhibitors are presented that ultimately interfere with viral nucleic acid synthesis, with ribavirin being the most prominent and widely used example. For directly targeting the viral polymerase, nucleoside and nucleotide analogues (NNAs) have long been at the core of antiviral drug development and this review illustrates different molecular strategies by which NNAs inhibit viral infection. Highlighting well-known as well as recent, clinically promising compounds, structural features and mechanistic details that may confer broad-spectrum activity are discussed. The final part addresses limitations of NNAs for clinical development such as low efficacy or mitochondrial toxicity and illustrates strategies to overcome these.


mBio ◽  
2020 ◽  
Vol 11 (1) ◽  
Author(s):  
Alfonso González de Prádena ◽  
Adrián Sánchez Jimenez ◽  
David San León ◽  
Peter Simmonds ◽  
Juan Antonio García ◽  
...  

ABSTRACT The presence of CpG and UpA dinucleotides is restricted in the genomes of animal RNA viruses to avoid specific host defenses. We wondered whether a similar phenomenon exists in nonanimal RNA viruses. Here, we show that these two dinucleotides, especially UpA, are underrepresented in the family Potyviridae, the most important group of plant RNA viruses. Using plum pox virus (PPV; Potyviridae family) as a model, we show that an increase in UpA frequency strongly diminishes virus accumulation. Remarkably, unlike previous observations in animal viruses, PPV variants harboring CpG-rich fragments display just faint (or no) attenuation. The anticorrelation between UpA frequency and viral fitness additionally demonstrates the relevance of this particular dinucleotide: UpA-high mutants are attenuated in a dose-dependent manner, whereas a UpA-low variant displays better fitness than its parental control. Using high-throughput sequencing, we also show that UpA-rich PPV variants are genetically stable, without apparent changes in sequence that revert and/or compensate for the dinucleotide modification despite its attenuation. In addition, we also demonstrate here that the PPV restriction of UpA-rich variants works independently of the classical RNA silencing pathway. Finally, we show that the anticorrelation between UpA frequency and RNA accumulation applies to mRNA-like fragments produced by the host RNA polymerase II. Together, our results inform us about a dinucleotide-based system in plant cells that controls diverse RNAs, including RNA viruses. IMPORTANCE Dinucleotides (combinations of two consecutive nucleotides) are not randomly present in RNA viruses; in fact, the presence of CpG and UpA is significantly repressed in their genomes. Although the meaning of this phenomenon remains obscure, recent studies with animal-infecting viruses have revealed that their low CpG/UpA frequency prevents virus restriction via a host antiviral system that recognizes, and promotes the degradation of, CpG/UpA-rich RNAs. Whether similar systems act in organisms from other life kingdoms has been unknown. To fill this gap in our knowledge, we built several synthetic variants of a plant RNA virus with deoptimized dinucleotide frequencies and analyzed their viral fitness and genome adaptation. In brief, our results inform us for the first time about an effective dinucleotide-based system that acts in plants against viruses. Remarkably, this viral restriction in plants is reminiscent of, but not identical to, the equivalent antiviral response in animals.


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