Literature DB >> 12529641

Speciation along environmental gradients.

Michael Doebeli1, Ulf Dieckmann.   

Abstract

Traditional discussions of speciation are based on geographical patterns of species ranges. In allopatric speciation, long-term geographical isolation generates reproductively isolated and spatially segregated descendant species. In the absence of geographical barriers, diversification is hindered by gene flow. Yet a growing body of phylogenetic and experimental data suggests that closely related species often occur in sympatry or have adjacent ranges in regions over which environmental changes are gradual and do not prevent gene flow. Theory has identified a variety of evolutionary processes that can result in speciation under sympatric conditions, with some recent advances concentrating on the phenomenon of evolutionary branching. Here we establish a link between geographical patterns and ecological processes of speciation by studying evolutionary branching in spatially structured populations. We show that along an environmental gradient, evolutionary branching can occur much more easily than in non-spatial models. This facilitation is most pronounced for gradients of intermediate slope. Moreover, spatial evolutionary branching readily generates patterns of spatial segregation and abutment between the emerging species. Our results highlight the importance of local processes of adaptive divergence for geographical patterns of speciation, and caution against pitfalls of inferring past speciation processes from present biogeographical patterns.

Mesh:

Year:  2003        PMID: 12529641     DOI: 10.1038/nature01274

Source DB:  PubMed          Journal:  Nature        ISSN: 0028-0836            Impact factor:   49.962


  124 in total

1.  Reproductive isolation driven by the combined effects of ecological adaptation and reinforcement.

Authors:  P Nosil; B J Crespi; C P Sandoval
Journal:  Proc Biol Sci       Date:  2003-09-22       Impact factor: 5.349

2.  Sexual selection can constrain sympatric speciation.

Authors:  Mark Kirkpatrick; Scott L Nuismer
Journal:  Proc Biol Sci       Date:  2004-04-07       Impact factor: 5.349

3.  Life-history trade-offs and ecological dynamics in the evolution of longevity.

Authors:  Michael B Bonsall; Marc Mangel
Journal:  Proc Biol Sci       Date:  2004-06-07       Impact factor: 5.349

4.  The effect of climatic forcing on population synchrony and genetic structuring of the Canadian lynx.

Authors:  Nils Chr Stenseth; Dorothee Ehrich; Eli Knispel Rueness; Ole Chr Lingjaerde; Kung-Sik Chan; Stan Boutin; Mark O'Donoghue; David A Robinson; Hildegunn Viljugrein; Kjetill S Jakobsen
Journal:  Proc Natl Acad Sci U S A       Date:  2004-04-05       Impact factor: 11.205

5.  Genotypic distribution of a specialist model microorganism, Methanosaeta, along an estuarine gradient: does metabolic restriction limit niche differentiation potential?

Authors:  Franck Carbonero; Brian B Oakley; Robert J Hawkins; Kevin J Purdy
Journal:  Microb Ecol       Date:  2011-12-20       Impact factor: 4.552

Review 6.  Recombination rate variation and speciation: theoretical predictions and empirical results from rabbits and mice.

Authors:  Michael W Nachman; Bret A Payseur
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2012-02-05       Impact factor: 6.237

7.  Detecting the potential sympatric range and niche divergence between Asian endemic ungulates of Procapra.

Authors:  Junhua Hu; Zhigang Jiang
Journal:  Naturwissenschaften       Date:  2012-06-29

8.  Speciation along a depth gradient in a marine adaptive radiation.

Authors:  Travis Ingram
Journal:  Proc Biol Sci       Date:  2010-09-01       Impact factor: 5.349

9.  Chaotic Red Queen coevolution in three-species food chains.

Authors:  Fabio Dercole; Regis Ferriere; Sergio Rinaldi
Journal:  Proc Biol Sci       Date:  2010-03-31       Impact factor: 5.349

10.  Oligomorphic dynamics for analyzing the quantitative genetics of adaptive speciation.

Authors:  Akira Sasaki; Ulf Dieckmann
Journal:  J Math Biol       Date:  2010-11-20       Impact factor: 2.259

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