Genome scans with many genetic markers provide the opportunity to investigate
local adaptation in natural populations and identify candidate genes under selection. The
recent advent of high-throughput Single Nucleotide Polymorphism (SNP) genotyping
technologies have opened new perspective of research and these markers are commonly
observed in functional genes making them ideal markers to study adaptive molecular
variation. This approach has become commonly employed in ecological and population
genetics studies to detect outlier loci that are putatively under selection. Herein, we
show a preliminary exploration of a gnome scan to detect signatures of selection on the
Iberian honey bee genome The objective of this study was to determine loci under
selection of A m. iberiensis by using SNPs. Over 711 individuals were sampled in the
lberian Peninsula across three Latitudinal transects and then genotyped for 1536 SNPs
using the Golden Gate Assay of Illumina. Loci under selection were identified by two
frequentist methods: Fdist, implemented in LOSITAN, and BAYESCAN. There were
identified 22 loci under selection by BAYESCAN and 12 Loci by LOSITAN, being 10
Loci detected by both methods. The SNPs under selection were located in linkage group
I1 4, 6, 7, 8, 9, 10, 11 , 12, 13 and 15 from honey bee genome and may be related to
genes with diverse functions as hormonal, nervous, development, cell signaling and
some unknown.
