Data from: Microsatellites for the marsh Fritillary butterfly: de novo transcriptome sequencing, and a comparison with amplified fragment length polymorphism (AFLP) markers
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 fr...
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Zusammenfassung: | 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 |
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DOI: | 10.5061/dryad.309t3 |