DOI: 10.5061/dryad.mkkwh715s
title: Microsatellite data for Cryptopygus antarcticus travei

description: Biodiversity patterns are shaped by the interplay between geodiversity and
 organis-mal characteristics. Superimposing genetic structure onto
 landscape heterogeneity(i.e., landscape genetics) can help to disentangle
 their interactions and better under-stand population dynamics. Previous
 studies on the sub-Antarctic Prince EdwardIslands (located midway between
 Antarctica and Africa) have highlighted the im-portance of landscape and
 climatic barriers in shaping spatial genetic patterns andhave drawn
 attention to the value of these islands as natural laboratories for
 study-ing fundamental concepts in biology. Here, we assessed the
 fine-scale spatial geneticstructure of the springtail, Cryptopygus
 antarcticus travei, which is endemic to MarionIsland, in tandem with
 high-resolution geological data. Using a species-specific suiteof
 microsatellite markers, a fine-scale sampling design incorporating
 landscape com-plexity and generalised linear models (GLMs), we examined
 genetic patterns overlaidonto high-resolution digital surface models and
 surface geology data across two 1-kmsampling transects. The GLMs revealed
 that genetic patterns across the landscapeclosely track landscape
 resistance data in concert with landscape discontinuities andbarriers to
 gene flow identified at a scale of a few metres. These results show
 thatthe island's geodiversity plays an important role in shaping
 biodiversity patterns andintraspecific genetic diversity. This study
 illustrates that fine-scale genetic patternsin soil arthropods are
 markedly more structured than anticipated, given that previ-ous studies
 have reported high levels of genetic diversity and evidence of
 geneticstructing linked to landscape changes for springtail species and
 considering the ho-mogeneity of the vegetation complexes characteristic of
 the island at the scale oftens to hundreds of metres. By incorporating
 fine-scale and high-resolution landscapefeatures into our study, we were
 able to explain much of the observed spatial geneticpatterns. Our study
 highlights geodiversity as a driver of spatial complexity. Morewidely, it
 holds important implications for the conservation and management of
 thesub-Antarctic islands.
description: <strong>Sampling</strong> Transect
 sampling was conducted on eastern Marion Island at two sampling areas,
 namely Nellie Humps (NH) and Skua Ridge (SR); these sites are
 approximately 2.4 km apart. The transects were positioned in areas with
 high levels of habitat heterogeneity, consisting of grey and black lava
 formations of varying geological ages, rivers, footpaths, and various
 vegetation biomes. Each sampling area encompassed two transects
 approximately one km in length, which were positioned perpendicular to one
 another to form a cross shape. The NH site included 24 sampling points
 separated from each other by a geographic distance ranging from 30 to 120
 m, while the SR site comprised 21 sampling points separated by distances
 ranging from 60 and 190 m. <em>Cryptopygus a.
 travei</em> specimens were collected by extracting them from sampled
 moss and/or ferns (approximately 10 cm<sup>3</sup>) using
 Berlese-Tullgren funnels. Twenty individuals of <em>C. a. travei
 </em>from each sampling point were identified and sorted using a
 compound light microscope, and stored in absolute ethanol (Merck, South
 Africa). <strong>Microsatellite
 genotyping</strong> Whole genomic DNA was
 extracted using the DNeasy<sup>®</sup> Blood and Tissue Kit
 (Qiagen<sup>®</sup>, Hilden, Germany), according to the
 manufacturer's recommendations, with minor modifications that
 included a longer digestion step (overnight, but not more than 20 hours)
 and a reduced final elution volume (75 μl instead of 100 μl).
 Microsatellite loci were amplified in multiplex reactions (seven multiplex
 sets based on the criteria described by Rastorgueff et al., 2016) using 21
 highly variable and species-specific markers (Rastorgueff et al., 2016),
 and fragment analysis was performed on a
 MultiGene<sup>TM</sup> OptiMax Thermal Cycler (Applied
 Biosystems). Cleaned PCR amplicons were sized using the ABI
 Prism<sup>®</sup> 3500XL Genetic Analyser (Applied Biosystems,
 Foster City, California, USA). Alleles were analysed, scored, and binned
 manually using the Geneious v8.1.5 microsatellite plugin 1.4.
description: MS Excel Missing data: -9