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Integrative Analysis of Metabolomic, Proteomic and Genomic Data to Reveal Functional Pathways and Candidate Genes for Drip Loss in Pigs.

Authors :
Welzenbach, Julia
Neuhoff, Christiane
Heidt, Hanna
Cinar, Mehmet Ulas
Looft, Christian
Schellander, Karl
Tholen, Ernst
Große-Brinkhaus, Christine
Source :
International Journal of Molecular Sciences. Sep2016, Vol. 17 Issue 9, p1426. 24p. 6 Diagrams, 6 Charts, 2 Graphs.
Publication Year :
2016

Abstract

The aim of this study was to integrate multi omics data to characterize underlying functional pathways and candidate genes for drip loss in pigs. The consideration of different omics levels allows elucidating the black box of phenotype expression. Metabolite and protein profiling was applied in Musculus longissimus dorsi samples of 97 Duroc × Pietrain pigs. In total, 126 and 35 annotated metabolites and proteins were quantified, respectively. In addition, all animals were genotyped with the porcine 60 k Illumina beadchip. An enrichment analysis resulted in 10 pathways, amongst others, sphingolipid metabolism and glycolysis/gluconeogenesis, with significant influence on drip loss. Drip loss and 22 metabolic components were analyzed as intermediate phenotypes within a genome-wide association study (GWAS). We detected significantly associated genetic markers and candidate genes for drip loss and for most of the metabolic components. On chromosome 18, a region with promising candidate genes was identified based on SNPs associated with drip loss, the protein "phosphoglycerate mutase 2" and the metabolite glycine. We hypothesize that association studies based on intermediate phenotypes are able to provide comprehensive insights in the genetic variation of genes directly involved in the metabolism of performance traits. In this way, the analyses contribute to identify reliable candidate genes. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
16616596
Volume :
17
Issue :
9
Database :
Academic Search Index
Journal :
International Journal of Molecular Sciences
Publication Type :
Academic Journal
Accession number :
118338796
Full Text :
https://doi.org/10.3390/ijms17091426