In this study we present a first genomics-metabolomics approach in pigs. About 900 performance tested Italian Large White pigs were genotyped with the Illumina PorcineSNP60 BeadChip. Blood was collected at slaughtering for haematological analyses. Plasma was used for the determination of 186 metabolites using mass spectrometry. Performance and carcass traits were measured on the same animals. Heritability of metabotypes and haematological parameters ranged from 0.04 to 0.93. A Graphical Gaussian Model (GGM) was generated including partial correlation coefficients. The structure of the obtained network represent clearly the general biological relationships among metabolites. GGM analyses suggested that pig metabolism is very close to the human metabolism. Genome wide association studies, carried out for a total of 153 traits, identified genetic variation in genes directly involved in the metabolism of several metabolites that could open interesting applications in pig nutrigenomics.
FONTANESI L, BOVO S, MAZZONI G L, SAMORE’ A B , SCHIAVO G, SCOTTI E, et al. (2014). Genome wide perspective of genetic variation in pig metabolism and production traits.
Genome wide perspective of genetic variation in pig metabolism and production traits
FONTANESI, LUCA
;BOVO, SAMUELE;MAZZONI, GIANLUCA;SAMORE', ANTONIA BIANCA;SCHIAVO, GIUSEPPINA;FANELLI, FLAMINIA;BERTOLINI, FRANCESCA;GALIMBERTI, GIULIANO;CALO', DANIELA GIOVANNA;MEZZULLO, MARCO;MARTELLI, PIER LUIGI;CASADIO, RITA;PAGOTTO, UBERTO;RUSSO, VINCENZO;DALL'OLIO, STEFANIA
2014
Abstract
In this study we present a first genomics-metabolomics approach in pigs. About 900 performance tested Italian Large White pigs were genotyped with the Illumina PorcineSNP60 BeadChip. Blood was collected at slaughtering for haematological analyses. Plasma was used for the determination of 186 metabolites using mass spectrometry. Performance and carcass traits were measured on the same animals. Heritability of metabotypes and haematological parameters ranged from 0.04 to 0.93. A Graphical Gaussian Model (GGM) was generated including partial correlation coefficients. The structure of the obtained network represent clearly the general biological relationships among metabolites. GGM analyses suggested that pig metabolism is very close to the human metabolism. Genome wide association studies, carried out for a total of 153 traits, identified genetic variation in genes directly involved in the metabolism of several metabolites that could open interesting applications in pig nutrigenomics.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
