In this study, a proposal is presented for the allele nomenclature of 17 polymorphic STR loci (AHT4, AHT5, ASB2, ASB17, ASB23, CA425, HMS1, HMS2, HMS3, HMS6, HMS7, HTG4, HTG6, HTG7, HTG10, LEX3 and VHL20) for equine genotyping (Equus caballus). The nomenclature is based on sequence data of the polymorphic region of the STR loci as recommended by the DNA commission of the International Society for Forensic Genetics for human DNA typing. For each STR locus, several alleles were selected and animals homozygous for those alleles were subjected to sequence analysis. The alleles of the 17 STR loci consisted either of simple (10), compound (6) or complex repeat patterns (1). Only a limited number of alleles with the same fragment size showed different repeat structures. The allele designation described here was based on the number of repeats, including all variable regions within the amplified fragment.

As a consequence of the close integration of horses into human society, equine DNA analysis has become relevant for forensic purposes. However, the information content of the equine Short Tandem Repeat (STR) loci commonly used for the identification or paternity testing has so far not been fully characterized. Population studies were performed for 17 polymorphic STR loci (AHT4, AHT5, ASB2, ASB17, ASB23, CA425, HMS1, HMS2, HMS3, HMS6, HMS7, HTG4, HTG6, HTG7, HTG10, LEX3 and VHL20) including 8641 horses representing 35 populations. The power of parental exclusion, polymorphic information content, expected and observed heterozygosity and probability of identity were calculated, showing that the set of 17 STRs has sufficient discriminating power for forensic analysis in almost all breeds. We also explored the reliability of individual assignment tests in identifying the correct breeds of origin for unknown samples. The overall proportion of individuals correctly assigned to a population was 97.2%. Finally, we demonstrate the phylogenetic signal of the 17 STR. We found three clusters of related breeds: (i) the cold-blooded draught breeds Haflinger, Dutch draft and Friesian; (ii) the pony breeds Shetland and Miniature horse with the Falabella, Appaloosa and Icelandic; and (iii) The Warmblood riding breeds, together with the hot-blooded Standard-bred, Thoroughbred and Arabian.

Protein-protein interactions (PPIs) are of central importance for many areas of biological research. Several complementary high-throughput technologies have been developed to study PPIs. The wealth of information that emerged from these technologies led to the first maps of the protein interactomes of several model organisms. Many changes can occur in protein complexes as a result of genetic and biochemical perturbations. In the absence of a suitable assay, such changes are difficult to identify, and thus have been poorly characterized. In this study, we present a novel genetic approach (termed “reverse PCA”) that allows the identification of genes whose products are required for the physical interaction between two given proteins. Our assay starts with a yeast strain in which the interaction between two proteins of interest can be detected by resistance to the drug, methotrexate, in the context of the protein-fragment complementation assay (PCA). Using synthetic genetic array (SGA) technology, we can systematically screen mutant libraries of the yeast Saccharomyces cerevisiae to identify those mutations that disrupt the physical interaction of interest. We were able to successfully validate this novel approach by identifying mutants that dissociate the conserved interaction between Cia2 and Mms19, two proteins involved in Iron-Sulfur protein biogenesis and genome stability. This method will facilitate the study of protein structure-function relationships, and may help in elucidating the mechanisms that regulate PPIs.

As a consequence of the close integration of cattle into the food chain of humans, forensically relevant cases involving cattle (Bos taurus) DNA analysis are common. However, scientific publications reporting the information content of the commonly used bovine short tandem repeat (STR) loci remains scarce. Population studies were performed for 16 polymorphic STR loci (BM1818, BM1824, BM2113, CSRM60, CSSM66, ETH3, ETH10, ETH225, HAUT27, ILSTS006, INRA023, SPS115, TGLA53, TGLA122, TGLA126, and TGLA227) including 4,162 randomly selected cattle representing 20 distinct breeds. The power of parental exclusion, expected and observed heterozygosity, probability of identity, and non-amplifying ("null") allele frequencies were calculated. Major differences existed in the information content between different cattle breeds. The selection of 16 STR loci, partially recommended by International Society for Animal Genetics as the minimum standard needed for bovine STR typing, was sufficient for forensic analysis. Furthermore, the efficacy of the loci was assessed in assigning unknown individuals to the correct breed based on genotype data. The individual assignment tests provided excellent success in several breeds.

In this study, a proposal is presented for the allele nomenclature of 16 polymorphic short tandem repeat (STR) loci (BM1824, BM2113, ETH10, ETH225, INRA023, SPS115, TGLA122, TGLA126, TGLA227, ETH3, TGLA53, BM1818, CSRM60, CSSM66, HAUT27 and ILSTS006) for bovine genotyping (Bos taurus). The nomenclature is based on sequence data of the polymorphic region(s) of the STR loci as recommended by the DNA commission of the International Society of Forensic Genetics for human DNA typing. To cover commonly and rarely occurring alleles, a selection of animals homozygous for the alleles at these STR loci were analysed and subjected to sequence studies. The alleles of the STR loci consisted either of simple or compound dinucleotide repeat patterns. Only a limited number of alleles with the same fragment size showed different repeat structures. The allele designation described here was based on the number of repeats including all variable regions within the amplified fragment. The set of 16 STR markers should be propagated for the use in all bovine applications including forensic analysis.