## Abstract We study with extensive numerical simulation the genealogical process of 2__N__ haploid genetic sequences. The sequences are under selective pressure, and fitness values are assigned at random, but with a tunable degree of correlation to the fitness values of closely related sequences.
Error Thresholds on Correlated Fitness Landscapes
β Scribed by Sebastian Bonhoeffer; Peter F. Stadler
- Book ID
- 102611889
- Publisher
- Elsevier Science
- Year
- 1993
- Tongue
- English
- Weight
- 457 KB
- Volume
- 164
- Category
- Article
- ISSN
- 0022-5193
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β¦ Synopsis
The evolution of molecular quasispecies on two different complex fitness landscapes, the Sherrington Kirkpatrick spin glass and the Graph Bipartitioning landscape, is investigated in dependence on replication fidelity and population size. Three different regimes of replication fidelity are detected. At high copying fidelity one obtains a population with high mean fitness localized around a time-independent consensus sequence. For large mutation frequencies the population is spread over the entire sequence space and the average fitness vanishes. In the intermediate regime the population is centered around a consensus sequence which moves in sequence space. Although the genetic information is lost over time, the population maintains an average fitness significantly above zero. A theoretical approximation is derived for the error threshold as a function of the sequence length.
π SIMILAR VOLUMES
Simple analytical models assuming homogeneous space have been used to examine the effects of habitat loss and fragmentation on metapopulation size. The models predict an extinction threshold, a critical amount of suitable habitat below which the metapopulation goes deterministically extinct. The con