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Open Access Research article

Trait correlated expression combined with expression QTL analysis reveals biological pathways and candidate genes affecting water holding capacity of muscle

Siriluck Ponsuksili1, Elisabeth Jonas3, Eduard Murani2, Chirawath Phatsara3, Tiranun Srikanchai1, Christina Walz1, Manfred Schwerin1, Karl Schellander3 and Klaus Wimmers2*

Author Affiliations

1 Research Institute for the Biology of Farm Animals (FBN), Research Group 'Functional Genomics', Wilhelm-Stahl-Allee 2, 18196 Dummerstorf, Germany

2 Research Institute for the Biology of Farm Animals (FBN), Research Unit 'Molecular Biology', Wilhelm-Stahl-Allee 2, 18196 Dummerstorf, Germany

3 Institute of Animal Science, Animal Breeding and Husbandry Group, University of Bonn, Endenicher Allee 15, 53115 Bonn, Germany

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BMC Genomics 2008, 9:367  doi:10.1186/1471-2164-9-367

Published: 31 July 2008

Abstract

Background

Leakage of water and ions and soluble proteins from muscle cells occurs during prolonged exercise due to ischemia causing muscle damage. Also post mortem anoxia during conversion of muscle to meat is marked by loss of water and soluble components from the muscle cell. There is considerable variation in the water holding capacity of meat affecting economy of meat production. Water holding capacity depends on numerous genetic and environmental factors relevant to structural and biochemical muscle fibre properties a well as ante and post slaughter metabolic processes.

Results

Expression microarray analysis of M. longissimus dorsi RNAs of 74 F2 animals of a resource population showed 1,279 transcripts with trait correlated expression to water holding capacity. Negatively correlated transcripts were enriched in functional categories and pathways like extracellular matrix receptor interaction and calcium signalling. Transcripts with positive correlation dominantly represented biochemical processes including oxidative phosphorylation, mitochondrial pathways, as well as transporter activity. A linkage analysis of abundance of trait correlated transcripts revealed 897 expression QTL (eQTL) with 104 eQTL coinciding with QTL regions for water holding capacity; 96 transcripts had trans acting and 8 had cis acting regulation.

Conclusion

The complex relationships between biological processes taking place in live skeletal muscle and meat quality are driven on the one hand by the energy reserves and their utilisation in the muscle and on the other hand by the muscle structure itself and calcium signalling. Holistic expression profiling was integrated with QTL analysis for the trait of interest and for gene expression levels for creation of a priority list of genes out of the orchestra of genes of biological networks relevant to the liability to develop elevated drip loss.