Polymorphisms of the porcine cathepsins, growth hormone-releasing hormone and leptin receptor genes and their association with meat quality traits in Ukrainian Large White breed

A SNP in the ovine cathepsin K (CTSK) gene is associated with yearling growth performance in a crossbred sheep population

Cathepsin K (CTSK) is a lysosomal protease existent in the skeletal muscles which is involved in biochemical processes related to obesity. Several studies have reported the effects of CTSK gene on body weight and fat deposition in human, mice and pigs. However, information about its structure and functions in sheep is very limited. Thus, this study was performed to evaluate the association between CTSK gene variants and yearling growth performance in Afshari × Booroola-Merino crossbred sheep. A fragment of 500 bp in exon 6 and partial of intron 5 of CTSK gene was amplified with polymerase chain reaction (PCR). All animals were genotyped by single-stranded conformation polymorphism (SSCP) and further confirmed by sequencing. Association analysis using a fixed linear model indicated that g.106510225G > A SNP was significantly related to average daily weight gain (ADWG) per year, fat-tail weight to carcass weight ratio (FW/CW), muscle thickness (MT) and muscle cross-sectional area (MCSA) of animals (p < 0.05). Due to the low polymorphic information content (PIC <0.25) for targeted locus in studied population, more association studies are needed to confirm the CTSK gene effects on growth traits in sheep.

Recent Advances in the Knowledge of the Mechanisms of Leptin Physiology and Actions in Neurological and Metabolic Pathologies

Excess body weight is frequently associated with low-grade inflammation. Evidence indicates a relationship between obesity and cancer, as well as with other diseases, such as diabetes and non-alcoholic fatty liver disease, in which inflammation and the actions of various adipokines play a role in the pathological mechanisms involved in these disorders. Leptin is mainly produced by adipose tissue in proportion to fat stores, but it is also synthesized in other organs, where leptin receptors are expressed. This hormone performs numerous actions in the brain, mainly related to the control of energy homeostasis. It is also involved in neurogenesis and neuroprotection, and central leptin resistance is related to some neurological disorders, e.g., Parkinson's and Alzheimer's diseases. In peripheral tissues, leptin is implicated in the regulation of metabolism, as well as of bone density and muscle mass. All these actions can be affected by changes in leptin levels and the mechanisms associated with resistance to this hormone. This review will present recent advances in the molecular mechanisms of leptin action and their underlying roles in pathological situations, which may be of interest for revealing new approaches for the treatment of diseases where the actions of this adipokine might be compromised.

Association between FTO gene polymorphism and productivity traits in Lithuanian pigs population

FTO in pigs have reported associations of several single nucleotide polymorphisms with some fat-related traits. The purpose of our study was to investigate the FTO gene single nucleotide polymorphism (SNP) (g.400C>G) in the population of pigs and to evaluate the influence of polymorphism on productivity traits. This study of porcine FTO gene g.400C>G SNP was established from the isolated genomic DNA, amplified by nested polymerase chain reaction (PCR) and digested with restriction enzymes, then DNA fragments were separated by agarose gel electrophoresis. Allele C observed with frequency 0.4, allele G – 0.6. The most common genotype was GG, genotype CC was the rarest. CC genotype pigs consume the most feed per kilogram of weight gain compared with other genotypes. The highest values for backfat thickness at the last vertebra at Fat1 and Fat2 were observed in animals with genotype CC. The lowest muscularity (%) was also observed in CC genotype. It was found that almost all pig production traits were significantly influenced by breed. The breed and genotype interaction influence was statistically significant for muscularity of the carcasses and backfat at the Fat2 thickness.

Genetic Marker Discovery in Complex Traits: A Field Example on Fat Content and Composition in Pigs

Among the large number of attributes that define pork quality, fat content and composition have attracted the attention of breeders in the recent years due to their interaction with human health and technological and sensorial properties of meat. In livestock species, fat accumulates in different depots following a temporal pattern that is also recognized in humans. Intramuscular fat deposition rate and fatty acid composition change with life. Despite indication that it might be possible to select for intramuscular fat without affecting other fat depots, to date only one depot-specific genetic marker (PCK1 c.2456C>A) has been reported. In contrast, identification of polymorphisms related to fat composition has been more successful. For instance, our group has described a variant in the stearoyl-coA desaturase (SCD) gene that improves the desaturation index of fat without affecting overall fatness or growth. Identification of mutations in candidate genes can be a tedious and costly process. Genome-wide association studies can help in narrowing down the number of candidate genes by highlighting those which contribute most to the genetic variation of the trait. Results from our group and others indicate that fat content and composition are highly polygenic and that very few genes explain more than 5% of the variance of the trait. Moreover, as the complexity of the genome emerges, the role of non-coding genes and regulatory elements cannot be disregarded. Prediction of breeding values from genomic data is discussed in comparison with conventional best linear predictors of breeding values. An example based on real data is given, and the implications in phenotype prediction are discussed in detail. The benefits and limitations of using large SNP sets versus a few very informative markers as predictors of genetic merit of breeding candidates are evaluated using field data as an example.