Figure 1

Examples for the two CNV identification options in SVS software. a) 21 individual animals genomes were subjected to the Univariate CNAM segmentation option. A red bar represents a segment with significantly lower log R ratio, as compared to its surrounding regions, thus identified as genomic loss. Slightly different length CNVs were identified in different low fertility samples, thus the overlapping region could be merged to a low fertility specific CNVR. b) The Multivariate CNAM method segments a group of samples together and segments are called only if present in all samples. In order to identify CNVs specific for either the high fertility or the low fertility group, the samples were segmented together, as well as grouped according to the fertility status. Only those CNVs were accepted that were present in only one group, but neihter in the other phenotypic group or in all samples together. Here the red bar identifies a CNVR specific for the high fertility group.