Quasispecies Theory and the Behavior of RNA Viruses Sumeeta Singh, Steve Bowers, Greg Rice, Tom McCarty BINF 704 02/19/13 Review Review Quasispecies Theory and the Behav Quasispecies Theory and the Behavior of RNA Viruses 1 2 Adam S. Lauring , Raul Andino * Ad am S. Lauring 1, Raul Andino 2* 1 Department of Medicine, University of California, San Francisco, San Francisco, California, United State 1 Department of Medicine, University of California, San Francisco, San Francisco, California, United States of America, 2 Department of Microbiology and Immunology, University of California, San Francisco, San Francisco, California, United States of America University of California, San Francisco, San Francisco, California, United States of America virus sequence may be determined more by its freedom to mutate virus sequence into related sequences than by its own replicative capacity. A largehave number important viruses, including HIV, hepatitisAbstract: C virus, and influenza, RNA of medically into ofrelated Second, many viruses operate near a threshold ‘‘error s genomes. These viruses replicate with extremely high catastrophe’’ and may behave combated by increasing Second, their replication including HIV, hepatitis C virus, and influenza, RNA man mutation rates and exhibit significant genetic diversity. error rates. Third, increasing the fidelity of genome replication genomes. with extremely high This diversity allows a viral populationThese to rapidlyviruses adapt to replicate catastrophe’’ a may paradoxically attenuate viruses. dynamic environmentsmutation and evolve resistance to vaccines rates and exhibit significant genetic diversity. error rates. T and antiviral drugs. For thediversity last 30 years, quasispecies This allows a viral population to rapidly adapt to Error -Prone Replicat ion and Viral Quasispecies theory has provided a population-based framework for may paradoxic dynamic environments and evolve resistance to vaccines understanding RNA viral evolution. A quasispecies is a M ost viruses encode enzymes responsible for replicating their cloud of diverse variants are genetically and that antiviral drugs. linked For the last years, quasispecies DNA 30 or RNA genomes. The intrinsic error rate, or fidelity, of the through mutation, interact cooperatively on a functional -Prone replicase determines the mutationfor rate for thatError virus and the theory has provided a population-based framework level, and collectively contribute to the characteristics of range of genetic variation upon which can act. RNA theory viral evolution. A quasispecies is a natural selection the population. Many understanding predictions of quasispecies M ost viruse Viral RNA polymerases exhibit characteristically low fidelity with run counter to traditional views of behavior and cloud ofmicrobial diverse variants that are genetically linked 24 measured mutation rates of roughly 10 mutations per DNA or RNA evolution and have profound implications for our through mutation, interact cooperatively on a functional nucleotide copied, which is orders of magnitude greater than understanding of viral disease. Here, we discuss basic replicase deter thoseto of the nearlycharacteristics all DNA-based viruses principles of quasispecies theory describe its relelevel, andand collectively contribute of and organisms [10,15,16]. range of genet Given the large population sizes observed in both experimental vance for our understanding of viral fitness, virulence, the population. Many and predictions of quasispecies theory antiviral therapeutic strategy. and natural infections, it is estimated that everyViral possible pointpo RNA run counter to traditional viewsmutation of microbial and are generated with and manybehavior double mutations each measured evolution and have profound implications our viral replication cycle and for may be present within the populationmu at any time [17]. RNAbasic viruses exist as swarms of similarcop nucleotide Int roduct ion understanding of viral disease. Here, weBecause discuss variants that are continuously regenerated by mutation of those ofrelated nearly of quasispecies and describe its releThe rapid evolution of principles RNA viruses complicates the manage- theory sequences, our ability to predict the outcome of an infection or a ment of chronic infectionsvance and the control of emerging infectious Given the larg for our understanding oftherapeutic viral fitness, virulence, andof isolated clones intervention from studies is limited. agents [1–3]. The ongoing global AIDS pandemic and the into a in antiviral therapeutic strategy. Even a defined molecular clone will quickly transform and natural resurgence of influenza highlight the difficulties associated with collection of related sequences when introduced into cells. This mutation and these genetically labile pathogens [4–6]. RNA viruses have also Abstract: A large number of medically important viruses, What is a virus? • Viruses are obligate intracellular parasites. • Small infectious agents bearing nucleic acid instructions. • Classified based on the form of nucleic acid, DNA or RNA. Virus types • Plus strand RNA virus Minus strand RNA virus Double strand RNA virus • Retrovirus • Single strand DNA virus Double strand DNA virus • • • RNA Virus types DNA Virus types “Quasispecies Theory” • Mathematical framework describing evolution of macromolecules (Eigen, 1971) • Extends the classic population genetics ideas of mutation-selection into quasispecies (Eigen, Schuster, 1977) • Eventually borrowed to describe RNA virus evolution dynamics Virus Replication Error • Plus strand RNA virus Minus strand RNA virus Double strand RNA virus RNA dependentRNA polymerase Error rate =10-3 to 10-5 • Retrovirus Reverse Transcriptase Error rate =10-4 to 10-5 • Single strand DNA virus Double strand DNA virus DNA polymerase Error rate =10-7 to 10-9 • • • Requirements and Consequences • • • • Polymerase responsible for high error rates. Estimated that each single and some double nucleotide sequence changes occur. Resulting in a collection of related sequences around a “master” sequence. Variation is related to ability to survive (population genetics) AND probability of occurring based on sequence neighbors (quasispecies). Virus Replication Swarm Virus Replication Swarm “Quasispecies Theory” 1971 1977 Quasispecies and RNA viruses • Survival of the “flattest” • Error Catastrophe • Fidelity and Fitness Survival of the Fittest or Survival of the Flattest A flat species is a species which exists in a genetically diverse group. Not dominated by one variant. A quasispecies must be a flat species. A fit species (in this part of the presentation) is a species which reproduces very fast. Flat Species Properties of a flat species A flat species will have high mutation rates. A flat species is able to mutate without a major effect on fitness. Advantages of a flat species Different mutants in a flat quasispecies can help each other. Flat species are better able to adapt. Dengue-1 Virus Lives as a quasispecies One variant of the virus which is found in high concentrations cannot survive on its own. It can only survive because other viruses (infecting the same cell) create the protein which it lacks. Viroid Experiment Theory: More genetically diverse (flatter) species are better able to adapt to mutations. Viroid 1 - CSVd – very fit Viroid 2- CChVMd – more flat, but less fit Procedure: Infect plants with each viroid Subject the plants to two environment either normal, or UVC light Results UVC light will cause mutations Results: Under normal conditions the fitter viroid did better, then the flatter viroid. Under the UVC light the two were about equal Under the UVC light the flatter became more diverse. The fitter did not become more diverse. Fitter or Flatter, which is better able to survive? The fit species will grow faster in an ideal environment. The flat species will be able to adapt more quickly. Error Threshold RNA Viruses have a high mutation rate The point at which accumulated mutations reduce fitness: - Too much mutation can lead to loss of vital information - Too little mutation can lead to host defenses overcoming the virus Error Threshold: position in informational space where a phase transition occurs such that the genomic sequence information can no longer be perpetuated. The greatest fitness is when mutation rates approach the error threshold Model of Error Catastrophe http://www.pnas.org/content/98/12/6895.full Error Catastrophe Extinction of a virus as a result of excessive RNA mutations – lethal mutagenesis Decrease viral fitness by increasing the rate at which new mutations appear. There is an intrinsic limit to the maximum variability of viral genetic information before it loses meaning. If an RNA virus quasispecies goes beyond that mutation limit, the population will no longer be viable. Increasing Mutation Rate Ionizing radiation (eg X-rays) – cause mutations by damaging DNA. Base Analogs – chemicals that replace one of the usual nucleotides in the DNA. These mutagens cause copying errors. APOBEC3G Humans have the ability to induce lethal mutagenesis Protein found inside cells that has a very specific antiviral role Cytidine deaminase enzyme Unfortunately, HIV has the ability to bind to APOBEC3G proteins and cause their degradation APOBEC3G It de-aminates the cytosine base, thus mutating it to a uracil base APOBEC3G Fidelity and Fitness: Mutation Rate Evolutionary Theory: viral error rates • RNA Virus: low fidelity generates diverse population of variants • Homogenous population vs dynamic environment • 29 Fidelity and Fitness: Mutation Rate Ribavirin and Lethal Mutagenesis • Hypothesis: mutant with low mutation rate less sensitive to LM and resistant to ribavirin • Poliovirus experimental groups: G64S polymerase mutation • 30 Fidelity and Fitness: Mutation Rate/Pathogenicity 3D-G64S Virus Is Less Pathogenic than Wild-Type Virus in Mice Competition between 3D-G64S and Wild-Type Virus in Mice 31 Fidelity and Fitness: Virulence • • • G64S species attenuated in transgenic mouse model for poliovirus infection Virulence determined by diversity of coinfecting population Quasispecies diversity, rather than the selection of individual variants, correlates with enhanced virulence 32 Fidelity and Fitness: Attenuation • • • Vaccine Design Vignuzzi(2008): G64 engineered mutants stimulated high titers of neutralizing antibodies in mice Fidelity modulation as therapeutic strategy 33 Future Perspectives • • • • • How do models apply to infected hosts? What is best measure of viral fitness in dynamic population? How does population diversity influence pathogenesis (subpopulation cooperation)? Improved assays for characterizing viral populations Modern techniques: Deep sequencing, Molecular barcoding 34 34