Person: Sevane Fernández, Natalia
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First Name
Natalia
Last Name
Sevane Fernández
Affiliation
Universidad Complutense de Madrid
Faculty / Institute
Veterinaria
Department
Producción Animal
Area
Producción Animal
Identifiers
3 results
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Item Phenotypic and genotypic background underlying variations in fatty acid composition and sensory parameters in European bovine breeds(Journal of Animal Science and Biotechnology, 2014) Sevane Fernández, Natalia; Levéziel, Hubert; Nute, Geoffrey R.; Sañudo, Carlos; Valentini, Alessio; Williams, John L.; Dunner Boxberger, Helene Susana; GemQual ConsortiumBackground: Consuming moderate amounts of lean red meat as part of a balanced diet valuably contributes to intakes of essential nutrients. In this study, we merged phenotypic and genotypic information to characterize the variation in lipid profile and sensory parameters and to represent the diversity among 15 cattle populations. Correlations between fat content, organoleptic characteristics and lipid profiles were also investigated. Methods: A sample of 436 largely unrelated purebred bulls belonging to 15 breeds and reared under comparable management conditions was analyzed. Phenotypic data -including fatness score, fat percentage, individual fatty acids (FA) profiles and sensory panel tests- and genotypic information from 11 polymorphisms was used. Results: The correlation coefficients between muscle total lipid measurements and absolute vs. relative amounts of polyunsaturated FA (PUFA) were in opposite directions. Increasing carcass fat leads to an increasing amount of FAs in triglycerides, but at the same time the relative amount of PUFAs is decreasing, which is in concordance with the negative correlation obtained here between the percentage of PUFA and fat measurements, as well as the weaker correlation between total phospholipids and total lipid muscle content compared with neutral lipids. Concerning organoleptic characteristics, a negative correlation between flavour scores and the percentage of total PUFA, particularly to n-6 fraction, was found. The correlation between juiciness and texture is higher than with flavour scores. The distribution of SNPs plotted by principal components analysis (PCA) mainly reflects their known trait associations, although influenced by their specific breed allele frequencies. Conclusions: The results presented here help to understand the phenotypic and genotypic background underlying variations in FA composition and sensory parameters between breeds. The wide range of traits and breeds studied, along with the genotypic information on polymorphisms previously associated with different lipid traits, provide a broad characterization of beef meat, which allows giving a better response to the variety of consumers’ preferences. Also, the development and implementation of low-density SNP panels with predictive value for economically important traits, such as those summarized here, may be used to improve production efficiency and meat quality in the beef industry.Item Polymorphisms in twelve candidate genes are associated with growth, muscle lipid profile and meat quality traits in eleven European cattle breeds(Molecular Biology Reports, 2014) Sevane Fernández, Natalia; Armstrong E; Wiener P; Pong Wong R; Dunner Boxberger, Helene SusanaCurrent customers’ demands focus on the nutritional and sensory quality of cattle meat. Candidate gene approach allows identification of genetic polymorphisms that have a measurable effect on traits of interest. The aim of this work is to identify new molecular markers for beef production through an association study using 27 candidate genes and 314 purebred bulls from 11 European cattle breeds. Twelve genes were found associated with different lipid and meat quality traits, and among these stand out the considerable effect of CAST on fatness score, CGGBP1 on growth traits, HSPB1 on the percentage of lauric acid (12:0) and phospholipid docosahexaenoic acid (DHA 22:6 n − 3), RORA on the ratio of light absorption (K) to light scattering (S) (K/S), and TNFA on lightness (L*). Most of these traits are related to post-mortem muscle biochemical changes, which are key factors controlling meat quality and consumers’ acceptance. Also, the variations produced on muscle fatty acid profiles, such as those of AANAT, CRH, CSN3, HSPB1, and TNFA, give insights into the genetic networks controlling these complex traits and the possibility of future improvement of meat nutritional quality.Item SNPs included in candidate genes involved in muscle, lipid and energy metabolism behave like neutral markers(Animal Production Science, 2015) Sevane Fernández, Natalia; Cañón Ferreras, Francisco Javier; Williams, John L.; Levéziel, Hubert; Valentini, Alessio; Dunner Boxberger, Helene Susana; GemQual ConsortiumStudies of population structure and diversity in cattle have provided insights into the origins of breeds, their history and evolution, and allow the identification of global livestock diversity hotspots, which is important for conservation of diversity. Genetic diversity, genetic relationship, population structure, and the presence of hotspots of genetic diversity among 15 European bovine breeds from five countries were assessed using 435 single nucleotide polymorphisms (SNP) markers identified in candidate genes for muscle, lipid and energy metabolism, thus providing the opportunity to compare the breed relationships obtained using putatively functional markers with previous data using neutral loci. Individuals belonging to 11 breeds tended to be clearly assigned to a single cluster when the number of pre-defined populations reached a maximum in the likelihood of the data at K = 12, whereas Asturiana de los Valles, Danish Red, Simmental, and Avileña-Negra Ibérica displayed a greater degree of admixture, which may be explained by their diverse ancestry. Although overall results were in agreement with those reported by studies based on neutral genetic variations, some additional breed relationship information emerged using markers in candidate functional loci, including the relationship between the Asturiana de los Valles and Piedmontese, and Danish Red and Charolais breeds. This study indicates that the analysed loci have not been main targets for selection or for adaptation processes, but also that SNP within candidate genes related with beef characteristics and performance may provide a slightly new perspective on past breeding and may also help in the development of strategies for the rational conservation of livestock diversity.