The molecular basis of high error rates is the limited template-copying fidelity of
RNA-dependent RNA polymerases (RdRps) and
RNA-dependent DNA polymerases (also termed reverse transcriptases, RTs). In addition, these enzymes are defective in
proofreading because they lack a 3' to 5'
exonuclease domain present in replicative cellular DNA polymerases. Also, postreplicative-repair pathways, abundant to correct genetic lesions in replicating cellular DNA, appear as ineffective for double-stranded RNA or RNA-DNA hybrids. The presence of a proofreading-repair activity in
coronaviruses increases their copying accuracy in about 15-fold. This and other repair activities, that may act on standard RNA or
retroviral genomes, do not prevent the formation of mutant spectra, although their amplitude may be lower than for other RNA viruses, at least in populations close to a clonal (single genome) origin. Quasispecies dynamics will operate in any viral or cellular system in which due to high mutation rates (as a result of low fidelity nucleic acid polymerases or environmental alterations) mutant spectra are rapidly generated. Studies with different
virus-host systems have established some general observations on the mechanisms of mutant generation, and implications of quasispecies dynamics. In RNA virus genetics when we speak of "a mutant" the entity we handle is a cloud of mutants in which the specific mutation to which we direct our attention is present in all (or the great majority of) individual genomes. There is no such a thing as "a" wild type or "a" mutant virus. They are always clouds of mutants. Changes in the relative dominance of components of mutant spectra are particularly severe during
in vivo infections, with complex dynamics of intra-host heterogeneity and variations.
Bioinformatic procedures have been developed to unveil the relationships among different but closely related genome types that may suggest some hierarchical order of mutation acquisition or identification of transmission clusters (examples are
Partition
Analysis of
Quasispecies, PAQ or
QUasispecies
Evolution,
Network-based
Transmission
Inference, QUENTIN).
Phenotypic reservoirs (left box), or be adapted to a different host
in vivo (right box). Relevant adaptive mutations are highlighted with colored symbols.|300x300px The crux of the matter regarding quasispecies implications is that at any given time, the viral population includes a reservoir not only of
genotypic but also of
phenotypic variants, conferring upon the population some adaptive
pluripotency. Accumulating laboratory and clinical evidence renders untenable that minority components of mutant spectra should be dismissed on the grounds of their being
neutral. They can participate in selective processes and cannot be excluded from interpretations of virus behavior. Variation universally involves
point mutations and it can also include
recombination (in its replicative and non-replicative modes), and
genome segment reassortment. Recombination can mediate adaptability and
virulence. High mutation and recombination rates have led to the conceptual distinction between mechanistically unavoidable and evolutionarily relevant variation, in connection with the issue of clonal versus non-clonal nature of
virus evolution (microbial evolution in general). Only a minority of the nascent variation during replication can be successfully propagated. Within limits that are set by
biological constraints, each population is made of an array of variant genomes, with a total number which is commensurate with the virus population size. To infect a plant, animal or cell culture with 103 infectious units can have very different consequences than to infect with 1010 infectious units, not only because the
host defense systems may be overwhelmed by the high infectious dose, but also because the mutant repertoire that engages in adaptive explorations is larger. Part of the variants of a mutant spectrum, either in isolation or in consortium with others, may perform better than other members of the same population in the event of an environmental change. Selective pressures favor replication of some components of a mutant spectrum over others, despite all of them being interconnected by mutation. Differential performance can be at the level of viral genomes (during replication, intracellular
gene expression, interaction with host factors, etc.) or viral particles (for thermal stability,
entry into or
exit from cells, to withstand neutralizing antibodies, etc.). In HCV such a design unveiled continuous mutation waves and a more accurate understanding of the types of fitness landscapes occupied by high fitness viruses.
Limitations and indeterminacies The nucleotide sequence of an individual genome from a population (no matter which the degree of population complexity might be), can be determined either following a biological or
molecular cloning event or by deep sequencing of entire viral genomes, in a manner that mutation linkage (assignment of different mutations to the same genome molecule) can be established. Each of these procedures implies some limitations: biological cloning can bias the representation in favor of infectious genomes, while molecular cloning can introduce non-infectious (defective) genomes in the analysis. Components of the mutant spectrum represented at a given time in the sample taken for sequencing may differ from those in the next time point, due either to sampling uncertainties or bona fide fluctuations of genome frequencies. It is not justified to accept a rough similarity because even a single mutation in a given sequence context may affect biological properties. On top of the fleeting nature of any mutant distribution, the standard methods available for quasispecies characterization provide genomic sequences of a minority of the population (estimated in 10−8 to 10−13 for molecular cloning-Sanger sequencing, and in 10−6 to 10−11 for deep sequencing). We can only have an approximate representation of viral populations and their dynamics, as evidenced by many experimental studies.
Non-consensus-based descriptors The points summarized in previous sections fully justifies addressing analytical tools towards the mutant spectrum rather than ignoring it or considering its presence a side issue. Use of consensus sequences to describe the genome of a virus isolate, despite being warranted by the difficulties of conveying the information recapitulated in a mutant spectrum, blurs and enfeebles biological interpretations. Experimental results have demonstrated that minority genomes from a mutant spectrum (that cannot be identified by examining the consensus sequence) can include mutations that confer resistance to
antiviral inhibitors,
neutralizing antibodies or
cytotoxic T cells, or that can alter the capacity to induce
interferon (IFN) or to respond to IFN, virulence or particle stability, among other phenotypic traits. Mutant spectra can also mediate cyclical adaptation to different cell types. A mutant spectrum defines a consensus but the consensus is an abstraction; it may not be represented in the population. Many events in viral pathogenesis and evolution are due to mutant spectrum modifications or interactions which cannot be properly interpreted solely on the basis of consensus sequences. == Collective response ==