Collective properties of evolving molecular quasispecies.
BACKGROUND
RNA molecules, through their dual appearance as sequence and structure, represent a suitable model to study evolutionary properties of quasispecies. The essential ingredient in this model is the differentiation between genotype (molecular sequences which are affected by mutation) and phenotype (molecular structure, affected by selection). This framework allows a quantitative analysis of organizational properties of quasispecies as they adapt to different environments, such as their robustness, the effect of the degeneration of the sequence space, or the adaptation under different mutation rates and the error threshold associated.


RESULTS
We describe and analyze the structural properties of molecular quasispecies adapting to different environments both during the transient time before adaptation takes place and in the asymptotic state, once optimization has occurred. We observe a minimum in the adaptation time at values of the mutation rate relatively far from the phenotypic error threshold. Through the definition of a consensus structure, it is shown that the quasispecies retains relevant structural information in a distributed fashion even above the error threshold. This structural robustness depends on the precise shape of the secondary structure used as target of selection. Experimental results available for natural RNA populations are in qualitative agreement with our observations.


CONCLUSIONS
Adaptation time of molecular quasispecies to a given environment is optimized at values of the mutation rate well below the phenotypic error threshold. The optimal value results from a trade-off between diversity generation and fixation of advantageous mutants. The critical value of the mutation rate is a function not only of the sequence length, but also of the specific properties of the environment, in this case the selection pressure and the shape of the secondary structure used as target phenotype. Certain functional motifs of RNA secondary structure that withstand high mutation rates (as the ubiquitous hairpin motif) might appear early in evolution and be actually frozen evolutionary accidents.
Stich
Michael
M
Centro de Astrobiología (INTA-CSIC), Instituto Nacional de Técnica Aeroespacial, Ctra de Ajalvir, Torrejón de Ardoz (Madrid), Spain. stichm@inta.es <stichm@inta.es>
Briones
Carlos
C
Manrubia
Susanna C
SC
D000222:Adaptation, Physiological; D003198:Computer Simulation; D019143:Evolution, Molecular; D005828:Genetics, Population; D005838:Genotype; D008957:Models, Genetic; D009154:Mutation; D009690:Nucleic Acid Conformation; D010641:Phenotype; D012313:RNA / Q000737:chemistry / Q000235:genetics*; D012641:Selection, Genetic; D013997:Time Factors
D012313:RNA