Literature DB >> 22513856

Speciation with gene flow in a heterogeneous virtual world: can physical obstacles accelerate speciation?

Abbas Golestani1, Robin Gras, Melania Cristescu.   

Abstract

The origin of species remains one of the most controversial and least understood topics in evolution. While it is being widely accepted that complete cessation of gene-flow between populations owing to long-lasting geographical barriers results in a steady, irreversible increase of divergence and eventually speciation, the extent to which various degrees of habitat heterogeneity influences speciation rates is less well understood. Here, we investigate how small, randomly distributed physical obstacles influence the distribution of populations and species, the level of population connectivity (e.g. gene flow), as well as the mode and tempo of speciation in a virtual ecosystem composed of prey and predator species. We adapted an existing individual-based platform, EcoSim, to allow fine tuning of the gene flow's level between populations by adding various numbers of obstacles in the world. The platform implements a simple food chain consisting of primary producers, herbivores (prey) and predators. It allows complex intra- and inter-specific interactions, based on individual evolving behavioural models, as well as complex predator-prey dynamics and coevolution in spatially homogenous and heterogeneous worlds. We observed a direct and continuous increase in the speed of evolution (e.g. the rate of speciation) with the increasing number of obstacles in the world. The spatial distribution of species was also more compact in the world with obstacles than in the world without obstacles. Our results suggest that environmental heterogeneity and other factors affecting demographic stochasticity can directly influence speciation and extinction rates.

Mesh:

Year:  2012        PMID: 22513856      PMCID: PMC3385488          DOI: 10.1098/rspb.2012.0466

Source DB:  PubMed          Journal:  Proc Biol Sci        ISSN: 0962-8452            Impact factor:   5.349


  13 in total

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2.  Genome complexity, robustness and genetic interactions in digital organisms.

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3.  Evolving collective behavior in an artificial ecology.

Authors:  C R Ward; F Gobet; G Kendall
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5.  Support from the relationship of genetic and geographic distance in human populations for a serial founder effect originating in Africa.

Authors:  Sohini Ramachandran; Omkar Deshpande; Charles C Roseman; Noah A Rosenberg; Marcus W Feldman; L Luca Cavalli-Sforza
Journal:  Proc Natl Acad Sci U S A       Date:  2005-10-21       Impact factor: 11.205

6.  An individual-based evolving predator-prey ecosystem simulation using a fuzzy cognitive map as the behavior model.

Authors:  Robin Gras; Didier Devaurs; Adrianna Wozniak; Adam Aspinall
Journal:  Artif Life       Date:  2009       Impact factor: 0.667

Review 7.  What, if anything, is sympatric speciation?

Authors:  B M Fitzpatrick; J A Fordyce; S Gavrilets
Journal:  J Evol Biol       Date:  2008-09-18       Impact factor: 2.411

8.  A species definition for the modern synthesis.

Authors:  J Mallet
Journal:  Trends Ecol Evol       Date:  1995-07       Impact factor: 17.712

9.  Population cycles in small rodents.

Authors:  C J Krebs; M S Gaines; B L Keller; J H Myers; R H Tamarin
Journal:  Science       Date:  1973-01-05       Impact factor: 47.728

10.  Characterization of multiple spiral wave dynamics as a stochastic predator-prey system.

Authors:  Niels F Otani; Alisa Mo; Sandeep Mannava; Flavio H Fenton; Elizabeth M Cherry; Stefan Luther; Robert F Gilmour
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2008-08-29
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  1 in total

1.  Speciation without Pre-Defined Fitness Functions.

Authors:  Robin Gras; Abbas Golestani; Andrew P Hendry; Melania E Cristescu
Journal:  PLoS One       Date:  2015-09-15       Impact factor: 3.240

  1 in total

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