Data from: Inter-island divergence within Drosophila mauritiana, a species of the D. simulans complex: past history and/or speciation in progress?
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Speciation with gene flow may be more common than generally thought making detailed understanding of the extent and pattern of genetic divergence between geographically isolated populations useful. Species of the Drosophila simulans complex provide a good model for speciation and evolutionary studies; understanding their population genetic structure will increase our understanding of the context in which speciation has occurred. Here we describe the genetic diversity and the genetic differentiation, at mitochondrial and nuclear loci, of two distant populations of D. mauritiana (Mauritius and Rodrigues Islands). We surveyed the two populations for their mitochondrial types, eight nuclear genes and 18 microsatellite loci. A new mitochondrial type is fixed in the Rodrigues population of D. mauritiana. The two populations are highly differentiated, their divergence appears relatively ancient (100,000 years) compared to the origin of the species, around 0.25 MYA, and they exhibit very limited gene flow. However, they have similar levels of divergence from their sibling, D. simulans. Both nuclear genes and microsatellites revealed contrasting demographic histories between the two populations; expansion for the Mauritius population and stable population size for the Rodrigues Island population. The pronounced geographic structure discovered within D. mauritiana in addition to the low amount of genetic exchange between those two island populations is significant for understanding how the genetic structuring of the species contributes to its evolutionary history, and clearly merits further attention in the broad context of speciation.
Citations (1)
- https://doi.org/10.1111/j.1365-294x.2011.05127.xDataCite MDC
Cited on 01 July 2011
Weight: 1.00
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Publication Details
Subfield
Genetics
Field
Biochemistry, Genetics and Molecular Biology
Domain
Life Sciences
Confidence Score
56%
Source
Scholar Data Model