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Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
biochemistry, genetics and molecular biology
Species-wide genetic variation and demographic history of Drosophila sechellia, a species lacking population structure
Genetics, Volume 182, No. 4, Year 2009
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Description
Long-term persistence of species characterized by a reduced effective population size is still a matter of debate that would benefit from the description of new relevant biological models. The island endemic specialist Drosophila sechellia has received considerable attention in evolutionary genetic studies. On the basis of the analysis of a limited number of strains, a handful of studies have reported a strikingly depleted level of genetic variation but little is known about its demographic history. We extended analyses of nucleotide polymorphism in D. sechellia to a species-wide level using 10 nuclear genes sequenced in 10 populations. We confirmed that D. sechellia exhibits little nucleotide-sequence variation. It is characterized by a low effective population size, >10-fold lower than that of D. simulans, which ranks D. sechellia as the least genetically diverse Drosophila species. No obvious population subdivision was detected despite its fragmented geographic distribution on different islands. We used approximate Bayesian computation (ABC) to test for demographic scenarios compatible with the geological history of the Seychelles and the ecology of D. sechellia. We found that while bottlenecks cannot account for the pattern of molecular evolution observed in this species, scenarios close to the null hypothesis of a constant population size are well supported. We discuss these findings with regard to adaptive features specific to D. sechellia and its lifehistory strategy. Copyright © 2009 by the Genetics Society of America.
Authors & Co-Authors
Legrand, Delphine
France, Gif-sur-yvette
Evolution, Génomes, Comportement et Ecologie
France, Gif-sur-yvette
Université Paris-saclay
Tenaillon, Maud Irne
France, Gif-sur-yvette
Génétique Quantitative et Évolution le Moulon
Matyot, Pat
Seychelles, Victoria
Seychelles Islands Foundation
Gerlach, Justin
Seychelles
Nature Protection Trust of Seychelles
Lachaise, Daniel
France, Gif-sur-yvette
Evolution, Génomes, Comportement et Ecologie
France, Gif-sur-yvette
Université Paris-saclay
Cariou, Marie Louise
France, Gif-sur-yvette
Evolution, Génomes, Comportement et Ecologie
France, Gif-sur-yvette
Université Paris-saclay
Statistics
Citations: 56
Authors: 6
Affiliations: 5
Identifiers
Doi:
10.1534/genetics.108.092080
ISSN:
00166731
e-ISSN:
00166731
Research Areas
Cancer
Genetics And Genomics
Study Design
Cross Sectional Study
Study Locations
Seychelles