Population genomic tests of models of adaptive radiation in Lake Victoria Region cichlid fish

Bezault, E.; Mwaiko, S.; Seehausen, O. (2011). Population genomic tests of models of adaptive radiation in Lake Victoria Region cichlid fish. Evolution, 65(12), pp. 3381-3397. Hoboken, N.J.: Wiley 10.1111/j.1558-5646.2011.01417.x

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Adaptive radiation is usually thought to be associated with speciation, but the evolution of intraspecific polymorphisms without speciation is also possible. The radiation of cichlid fish in Lake Victoria (LV) is perhaps the most impressive example of a recent rapid adaptive radiation, with 600+ very young species. Key questions about its origin remain poorly characterized, such as the importance of speciation versus polymorphism, whether species persist on evolutionary time scales, and if speciation happens more commonly in small isolated or in large connected populations. We used 320 individuals from 105 putative species from Lakes Victoria, Edward, Kivu, Albert, Nabugabo and Saka, in a radiation-wide amplified fragment length polymorphism (AFLP) genome scan to address some of these questions. We demonstrate pervasive signatures of speciation supporting the classical model of adaptive radiation associated with speciation. A positive relationship between the age of lakes and the average genomic differentiation of their species, and a significant fraction of molecular variance explained by above-species level taxonomy suggest the persistence of species on evolutionary time scales, with radiation through sequential speciation rather than a single starburst. Finally the large gene diversity retained from colonization to individual species in every radiation suggests large effective population sizes and makes speciation in small geographical isolates unlikely.

Item Type:

Journal Article (Original Article)


08 Faculty of Science > Department of Biology > Institute of Ecology and Evolution (IEE) > Aquatic Ecology

UniBE Contributor:

Seehausen, Ole








Factscience Import

Date Deposited:

04 Oct 2013 14:27

Last Modified:

06 Dec 2013 13:31

Publisher DOI:


Web of Science ID:



https://boris.unibe.ch/id/eprint/10106 (FactScience: 215945)

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