Data from: Characterizing genic and non-genic molecular markers: comparison of microsatellites and SNPs

The implications of transitioning to single nucleotide polymorphism (SNPs) from microsatellite markers (MSs) have been investigated in a number of population genetics studies, but the effect of genomic location on the amount of information each type of marker reveals has not been explored in detail. We developed novel SNP markers flanking 1 kb regions of 13 genic (within gene or 10 kb from annotated gene) MSs in the threespine stickleback genome to obtain comparable data for both types of markers. We analysed patterns of genetic diversity and divergence on various geographic scales after converting the SNP loci within each genomic region into haplotypes. Marker type (SNP haplotype or MS) and location (genic or nongenic) significantly affected most estimates of population diversity and divergence. Between-lineage divergence was significantly higher in SNP haplotypes (genic and nongenic), however, within-lineage divergence was similar between marker types. Most divergence and diversity measures were uncorrelated between markers, except for population differentiation which was correlated between MSs and SNP haplotypes (both genic and nongenic). Broad-scale population structure and assignment were similarly resolved by both marker types, however, only the MSs were able to delimit fine-scale population structuring, particularly when genic and nongenic markers were combined. These results demonstrate that estimates of genetic variability and differentiation among populations can be strongly influenced by marker type, their genomic location in relation to genes and by the interaction of these two factors. This highlights the importance of having an awareness of the inherent strengths and limitations associated with different molecular tools to select the most appropriate methods for accurately addressing various ecological and evolutionary questions.SNP_haplotypeSNP haplotypes - converted with program PHASE. Wild stickleback samples were collected during 2006-2009. Population codes can be found in readme file.SNP_genotypesSNP genotypes from wild sticklebacks collected during 2006-2009. SNPs were identified by sequencing 500-800 bp regions of the genome in 3 individuals from 4 populations. Population codes can be found in readme file. Marker names can be found from Ensembl.microsatellite_genotypesMicrosatellite genotypes from wild stickleback samples collected 2006-2009. Population codes can be found in readme file. Marker names can found from Ensembl