Data from: Microsatellites for the marsh Fritillary butterfly: de novo transcriptome sequencing, and a comparison with amplified fragment length polymorphism (AFLP) markers
Smee, Melanie R., University of York, University of Exeter
Pauchet, Yannick, University of Exeter, Max Planck Institute for Chemical Ecology
Wilkinson, Paul, University of Exeter, University of Bristol
Wee, Brian, National Ecological Observatory Network
Singer, Michael C., The University of Texas at Austin
ffrench-Constant, Richard H., University of Exeter
Hodgson, David J., University of Exeter
Mikheyev, Alexander S., Okinawa Institute of Science and Technology
Published Jan 24, 2013 on Dryad.
Cite this dataset
Smee, Melanie R. et al. (2013). Data from: Microsatellites for the marsh Fritillary butterfly: de novo transcriptome sequencing, and a comparison with amplified fragment length polymorphism (AFLP) markers [Dataset]. Dryad. https://doi.org/10.5061/dryad.309t3
BACKGROUND: Until recently the isolation of microsatellite markers from Lepidoptera has proved troublesome, expensive and time-consuming. Following on from a previous study of Edith's checkerspot butterfly, Euphydryas editha, we developed novel microsatellite markers for the vulnerable marsh fritillary butterfly, E. aurinia. Our goal was to optimize the process in order to reduce both time and cost relative to prevailing techniques. This was accomplished by using a combination of previously developed techniques: in silico mining of a de novo assembled transcriptome sequence, and genotyping the microsatellites found there using an economic method of fluorescently labelling primers. PRINCIPAL FINDINGS: In total, we screened nine polymorphic microsatellite markers, two of which were previously published, and seven that were isolated de novo. These markers were able to amplify across geographically isolated populations throughout Continental Europe and the UK. Significant deviations from Hardy-Weinberg equilibrium were evident in some populations, most likely due to the presence of null alleles. However, we used an Fst outlier approach to show that these markers are likely selectively neutral. Furthermore, using a set of 128 individuals from 11 populations, we demonstrate consistency in population differentiation estimates with previously developed amplified fragment length polymorphism (AFLP) markers (r = 0.68, p<0.001). SIGNIFICANCE: Rapid development of microsatellite markers for difficult taxa such as Lepidoptera, and concordant results with other putatively neutral molecular markers, demonstrate the potential of de novo transcriptional sequencing for future studies of population structure and gene flow that are desperately needed for declining species across fragmented landscapes.
The data file consists of microsatellite allele lengths for 9 loci described in the paper. The data file has individuals organized in rows, with the name of the population in the first column. The subsequent 18 columns correspond to microsatellite data (two columns per locus). Missing data are coded by zeros.