Chemical and population data for Nasonia vitripennnis females collected from the Hoge Veluwe
doi: 10.4121/5e6b4b53-6188-4254-a729-47991bbb8832
Abstract
Ecotypes, strains locally adapted to divergent ecological conditions, are often considered to be the first steps in sympatric speciation. It has been suggested that two distinguishable ecotypes hint at incipient sympatric speciation in Nasonia vitripennis, the prominent model organism for parasitoid wasps, with one ecotype parasitizing fly pupae in bird nests, and the other parasitizing fly pupae on carrion. In the present study, we investigated the differentiation into these two distinct ecotypes on a population genetic and on a phenotypic level in a wild N. vitripennis population in the Netherlands. Isofemale lines were obtained from bird nest boxes and from deer carrion, respectively, representing both microhabitats. Using a panel of 14 microsatellites, we determined the population genetic structure and tested for genetic differentiation between the foundresses obtained from both microhabitats. To test for phenotypic differentiation, we determined the cuticular hydrocarbon (CHC) profiles from wasps of both microhabitats. Both the genetic and the phenotypic datasets show no evidence for any kind of separation based on the postulated two ecotypes, but rather suggest free interbreeding with no gene flow interruption between the two distinct host patches. This challenges previous assumptions on distinguishable ecotypes in N. vitripennis, and invites a re-evaluation of potential ecological speciation mechanisms in parasitoid wasps.
This dataset contains:
1) microsatellite data for 14 loci 25 N. vitripennis females collected in 2018 in the Hoge Veluwe in The Netherlands (HV2018_MicrosatelliteDataset.csv)
2) Raw data of GC-MS profiles of cuticular hydrocarbon (CHC) of N.vitripennis males and females from iso-female lines collected in 2018 in the Hoge Veluwe in The Netherlands (HV2018_CHC_RawData.tar) and an overview (HV2018_GCMS_Data.csv).
- 2023-11-10 first online, published, posted
- German Research Foundation to Jan Buellesbach (DFG, BU3439/1-1) (grant code DFG, BU3439/1-1) German Research Foundation
Laboratory of Genetics, Wageningen University & Research.
DATA
- 330 bytesMD5:
df5c10ce0bcf406fa9c38e929bdba069
HV2018_CHC_RawData.readme - 663 bytesMD5:
d26a1efc6cd9ad480ad04cc3caecf8b0
HV2018_MicrosatelliteDataset.readme - 4,974,841,344 bytesMD5:
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HV2018_CHC_RawData.tar - 45,651 bytesMD5:
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HV2018_GCMS_Data.csv - 4,015 bytesMD5:
e799c65cd86316210f63a47d2c6d6743
HV2018_MicrosatelliteDataset.csv -
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