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Rick Durrett

Publications and source records attributed to Rick Durrett.

3 recordsLinked to original sources

Wagner's canalization model.

Wagner (1996, Does evolutionary plasticity evolve? Evolution 50, 1008-1023.) and Siegal and Bergman, 2002 and Azevedo et al., 2006 have studied a simple model of the evolution of a network of N genes, in order to explain the observed phenomenon that systems evolve to be robust. These authors primarily considered the case N=10 and used simulations to reach their conclusions. Here we investigate this model in more detail, considering systems of different sizes with and without recombination, and with selection for convergence instead of to a specified limit. For the simpler evolutionary model lacking recombination, we analyze the system as a neutral network. This allows us to describe the equilibrium distribution networks within genotype space. Our results show that, given a sufficiently large population size, the qualitative observation that systems evolve to be robust, is itself robust, as it does not depend on the details of the model. In simple terms, robust systems have more viable offspring, so the evolution of robustness is merely selection for increased fecundity, an observation that is well known in the theory of neutral networks.

Biological Evolution↗

Adaptive evolution drives the diversification of zinc-finger binding domains.

The human genome is estimated to contain 700 zinc-finger genes, which perform many key functions, including regulating transcription. The dramatic increase in the number of these genes as we move from yeast to C. elegans to Drosophila and to humans, as well as the clustered organization of these genes in humans, suggests that gene duplication has played an important role in expanding this family of genes. Using likelihood methods developed by Yang and parsimony methods introduced by Suzuki and Gojobori, we have investigated four clusters of zinc-finger genes on human chromosome 19 and found evidence that positive selection was involved in diversifying the family of zinc-finger binding motifs.

Adaptation, Biological↗

Dinucleotide repeats in the Drosophila and human genomes have complex, length-dependent mutation processes.

We use methods of maximum likelihood estimation to fit several microsatellite mutation models to the observed length distribution of dinucletoide repeats in the Drosophila and human genomes. All simple models are rejected by this procedure. Two new models, one with quadratic and another with piecewise linear slippage rates, have the best fits and agree with recent experimental studies by predicting that long microsatellites have a bias toward contractions.

Animals↗