Random walk in genome space: A key ingredient of intermittent dynamics of community assembly on evolutionary time scales
KAUST Grant NumberKUK-I1-005-04
MetadataShow full item record
AbstractCommunity 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.
CitationMurase Y, Shimada T, Ito N, Rikvold PA (2010) Random walk in genome space: A key ingredient of intermittent dynamics of community assembly on evolutionary time scales. Journal of Theoretical Biology 264: 663–672. Available: http://dx.doi.org/10.1016/j.jtbi.2010.03.043.
SponsorsWe are grateful for helpful comments on the manuscript by A.G. Rossberg, V. Sevim, and E. Filotas, and for a useful conversation with L.H. Liow. This work was partly supported by 21st Century COE Program "Applied Physics on Strong Correlation" from the Ministry of Education, Culture, Sports, Science, and Technology of Japan, the JSPS (No. 19340110), and GRP of KAUST (KUK-I1-005-04), and a Grant-in-Aid for Young Scientists (B) No. 21740284 to T. S. from the Ministry of Education, Culture, Sports, Science and Technology of Japan. Y.M. appreciates hospitality at Florida State University, where work was supported by U.S. NSF Grant Nos. DMR-0444051 and DMR-0802288.
JournalJournal of Theoretical Biology
CollectionsPublications Acknowledging KAUST Support
- Predicting the deleterious effects of mutation load in fragmented populations.
- Authors: Jaquiéry J, Guillaume F, Perrin N
- Issue date: 2009 Feb
- The species-area relationship and evolution.
- Authors: Lawson D, Jensen HJ
- Issue date: 2006 Aug 7
- Unifying evolutionary dynamics: from individual stochastic processes to macroscopic models.
- Authors: Champagnat N, Ferrière R, Méléard S
- Issue date: 2006 May
- A review on Monte Carlo simulation methods as they apply to mutation and selection as formulated in Wright-Fisher models of evolutionary genetics.
- Authors: Mode CJ, Gallop RJ
- Issue date: 2008 Feb
- A statistical approach to quasi-extinction forecasting.
- Authors: Holmes EE, Sabo JL, Viscido SV, Fagan WF
- Issue date: 2007 Dec