These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


Pubmed for Handhelds

PUBMED FOR HANDHELDS

Search MEDLINE/PubMed

  • Title: Functional genomics and genetical genomics approaches towards elucidating networks of genes affecting meat performance in pigs.
    Author: Wimmers K, Murani E, Ponsuksili S.
    Journal: Brief Funct Genomics; 2010 May; 9(3):251-8. PubMed ID: 20211968.
    Abstract:
    The benefit of functional genomics is to identify key pathways and functional networks of genes and candidate genes underlying the genetic control of phenotypes. Genetical genomics, i.e. the integration of genetic analysis and expression phenotypes, has the potential to uncover regulatory networks controlling the coordinated expression of genes and to map variation on the level of DNA affecting the mRNA expression. Here we illustrate our own attempts to apply functional genomics and genetical genomics approaches in order to identify functional networks of genes relevant to traits related to meat performance. Expression data of 74 M longissimus dorsi samples obtained using Affymetrix GeneChips were correlated with drip loss and principal components (PCs) with high loadings of meat quality traits. Functional annotation analyses revealed that differences in water holding capacity, early pH decline and ultimate pH were related to the ubiquitin-proteasome system, mitochondrial metabolic pathways and muscle structural aspects. In particular, 1279 genes were correlated with drip loss (P <or= 0.001; q <or= 0.004). Negatively correlated transcripts were enriched in functional categories like extracellular matrix receptor interaction and Ca-signalling. Transcripts with a positive correlation represented oxidative phosphorylation, mitochondrial pathways and transporter activity. A linkage analysis revealed 897 expression QTL (eQTL) with 104 eQTL mapping in QTL regions for water holding capacity including 8 cis eQTL. The reduction of the multi-dimensional data sets of meat performance traits into lower dimensions of PC and the genetical genomics approach of eQTL analysis proved to be appropriate means to detect relevant biological pathways and to experimentally prioritize candidate genes.
    [Abstract] [Full Text] [Related] [New Search]