Random walk in genome space: A key ingredient of intermittent dynamics of community assembly on evolutionary time scales

Yohsuke Murase, Takashi Shimada, Nobuyasu Ito, Per Arne Rikvold

Research output: Contribution to journalArticlepeer-review

18 Scopus citations

Abstract

Community assembly is studied using individual-based multispecies models. The models have stochastic population dynamics with mutation, migration, and extinction of species. Mutants appear as a result of mutation of the resident species, while migrants have no correlation with the resident species. It is found that the dynamics of community assembly with mutations are quite different from the case with migrations. In contrast to mutation models, which show intermittent dynamics of quasi-steady states interrupted by sudden reorganizations of the community, migration models show smooth and gradual renewal of the community. As a consequence, instead of the 1/f diversity fluctuations found for the mutation models, 1/f2, random-walk like fluctuations are observed for the migration models. In addition, a characteristic species-lifetime distribution is found: a power law that is cut off by a "skewed" distribution in the long-lifetime regime. The latter has a longer tail than a simple exponential function, which indicates an age-dependent species-mortality function. Since this characteristic profile has been observed, both in fossil data and in several other mathematical models, we conclude that it is a universal feature of macroevolution. © 2010 Elsevier Ltd.
Original languageEnglish (US)
Pages (from-to)663-672
Number of pages10
JournalJournal of Theoretical Biology
Volume264
Issue number3
DOIs
StatePublished - Jun 2010
Externally publishedYes

Fingerprint

Dive into the research topics of 'Random walk in genome space: A key ingredient of intermittent dynamics of community assembly on evolutionary time scales'. Together they form a unique fingerprint.

Cite this