SSR loci survey of technical hemp cultivars: The optimization of a cost-effective analyses to study genetic variability

Abstract Our study aimed to optimize a selection of a suitable combination of SSRs (Simple Sequence Repeats) for determination of technical Cannabis cultivars and genetic variability level. We used sequences of 23 published SSR families (107 alleles) and amplified them in 28 cultivars. One of the alleles possesses no selective information (SSR family CAN1660) due to its presence in every single tested cultivar. We excluded it, together with another 11 least informative alleles. After data filtration, we used 96 alleles to do recursive sub-sampling of random alleles' sets. We found a minimal set of 8 alleles (in three different combinations) to distinguish 28 analyzed cultivars from each other. Our results contribute to saving resources and to reduce the performance time of the molecular analysis.