Literature DB >> 20418459

Bayes factor analyses of heritability for serum and muscle lipid traits in Duroc pigs.

J Casellas1, J L Noguera, J Reixach, I Díaz, M Amills, R Quintanilla.   

Abstract

Concern about pork quality has increased during last decades. Given the influence of fat content and composition on sensorial, nutritional, and technological variables of pork meat, an accurate knowledge about genetic control of pig lipid metabolism is required. This study focused on providing a broad characterization for serum and meat lipid trait heritability estimates in pigs. Analyses were performed on a population of 370 Duroc barrows and measured the additive polygenic background for the serum concentrations of cholesterol, triglyceride, and low- and high-density lipoproteins at 45 and 190 d of age (at slaughter), as well as intramuscular fat, cholesterol content, and C:12 to C:22 fatty acid content in longissimus thoracis et lumborum and gluteus medius muscles at slaughter. These traits were analyzed under Bayesian univariate animal linear models, and the statistical relevance of heritability estimates was evaluated through Bayes factor (BF); the model with polygenic additive effects was favored when BF >1. All serum lipid traits showed relevant genetic determinism, but the BF reached greater values at 190 d of age. Serum lipid traits displayed moderate modal estimates for heritability that ranged from 0.18 to 0.30. On the other hand, the genetic determinism for meat quality traits showed a heterogeneous behavior with large and less-than-1 BF. In general, longissimus thoracis et lumborum and gluteus medius muscles showed a similar pattern, with strong evidence of polygenic additive effects for intramuscular fat and palmitic, stearic, and cis-vaccenic fatty acids content, whereas oleic and muscle cholesterol content showed moderate to weak BF with moderate heritabilities. Similarly, results regarding linoleic, arachidonic, n-3, and n-6 fatty acids suggested a moderate genetic determinism, but only in gluteus medius muscle. For the remaining traits (myristic and palmitoleic fatty acids in both muscles, along with linoleic, arachidonic, n-3, and n-6 fatty acids in the longissimus thoracis et lumborum muscle), no statistical evidence for genetic control was observed in this study. As a whole, these results confirm the complexity of lipid metabolism in pigs.

Entities:  

Mesh:

Substances:

Year:  2010        PMID: 20418459     DOI: 10.2527/jas.2009-2205

Source DB:  PubMed          Journal:  J Anim Sci        ISSN: 0021-8812            Impact factor:   3.159


  13 in total

1.  Liver transcriptome profile in pigs with extreme phenotypes of intramuscular fatty acid composition.

Authors:  Yuliaxis Ramayo-Caldas; Nuria Mach; Anna Esteve-Codina; Jordi Corominas; Anna Castelló; Maria Ballester; Jordi Estellé; Noelia Ibáñez-Escriche; Ana I Fernández; Miguel Pérez-Enciso; Josep M Folch
Journal:  BMC Genomics       Date:  2012-10-11       Impact factor: 3.969

2.  Detection of quantitative trait loci affecting serum cholesterol, LDL, HDL, and triglyceride in pigs.

Authors:  Muhammad Jasim Uddin; Do Ngoc Duy; Mehmet Ulas Cinar; Dawit Tesfaye; Ernst Tholen; Heinz Juengst; Christian Looft; Karl Schellander
Journal:  BMC Genet       Date:  2011-07-13       Impact factor: 2.797

3.  Segregation of regulatory polymorphisms with effects on the gluteus medius transcriptome in a purebred pig population.

Authors:  Angela Cánovas; Ramona N Pena; David Gallardo; Oscar Ramírez; Marcel Amills; Raquel Quintanilla
Journal:  PLoS One       Date:  2012-04-24       Impact factor: 3.240

4.  From SNP co-association to RNA co-expression: novel insights into gene networks for intramuscular fatty acid composition in porcine.

Authors:  Yuliaxis Ramayo-Caldas; Maria Ballester; Marina R S Fortes; Anna Esteve-Codina; Anna Castelló; Jose L Noguera; Ana I Fernández; Miguel Pérez-Enciso; Antonio Reverter; Josep M Folch
Journal:  BMC Genomics       Date:  2014-03-26       Impact factor: 3.969

5.  A genome-wide association analysis for porcine serum lipid traits reveals the existence of age-specific genetic determinants.

Authors:  Arianna Manunza; Joaquim Casellas; Raquel Quintanilla; Rayner González-Prendes; Ramona N Pena; Joan Tibau; Anna Mercadé; Anna Castelló; Nitdia Aznárez; Jules Hernández-Sánchez; Marcel Amills
Journal:  BMC Genomics       Date:  2014-09-04       Impact factor: 3.969

6.  Joint QTL mapping and gene expression analysis identify positional candidate genes influencing pork quality traits.

Authors:  Rayner González-Prendes; Raquel Quintanilla; Angela Cánovas; Arianna Manunza; Tainã Figueiredo Cardoso; Jordi Jordana; José Luis Noguera; Ramona N Pena; Marcel Amills
Journal:  Sci Rep       Date:  2017-01-05       Impact factor: 4.379

7.  Integration of liver gene co-expression networks and eGWAs analyses highlighted candidate regulators implicated in lipid metabolism in pigs.

Authors:  Maria Ballester; Yuliaxis Ramayo-Caldas; Manuel Revilla; Jordi Corominas; Anna Castelló; Jordi Estellé; Ana I Fernández; Josep M Folch
Journal:  Sci Rep       Date:  2017-04-19       Impact factor: 4.379

8.  Identification of eQTLs associated with lipid metabolism in Longissimus dorsi muscle of pigs with different genetic backgrounds.

Authors:  Lourdes Criado-Mesas; Maria Ballester; Daniel Crespo-Piazuelo; Anna Castelló; Ana I Fernández; Josep M Folch
Journal:  Sci Rep       Date:  2020-06-17       Impact factor: 4.379

9.  Analysis of porcine adipose tissue transcriptome reveals differences in de novo fatty acid synthesis in pigs with divergent muscle fatty acid composition.

Authors:  Jordi Corominas; Yuliaxis Ramayo-Caldas; Anna Puig-Oliveras; Jordi Estellé; Anna Castelló; Estefania Alves; Ramona N Pena; Maria Ballester; Josep M Folch
Journal:  BMC Genomics       Date:  2013-12-01       Impact factor: 3.969

10.  Expression analysis of candidate genes for fatty acid composition in adipose tissue and identification of regulatory regions.

Authors:  Manuel Revilla; Anna Puig-Oliveras; Daniel Crespo-Piazuelo; Lourdes Criado-Mesas; Anna Castelló; Ana I Fernández; Maria Ballester; Josep M Folch
Journal:  Sci Rep       Date:  2018-02-01       Impact factor: 4.379

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.