Neuhoff, Christiane: Transcriptomics and proteomics analysis to identify molecular mechanisms associated with meat quality traits. - Bonn, 2014. - Dissertation, Rheinische Friedrich-Wilhelms-Universität Bonn.
Online-Ausgabe in bonndoc: https://nbn-resolving.org/urn:nbn:de:hbz:5n-36538
@phdthesis{handle:20.500.11811/5847,
urn: https://nbn-resolving.org/urn:nbn:de:hbz:5n-36538,
author = {{Christiane Neuhoff}},
title = {Transcriptomics and proteomics analysis to identify molecular mechanisms associated with meat quality traits},
school = {Rheinische Friedrich-Wilhelms-Universität Bonn},
year = 2014,
month = jun,

volume = 170,
note = {Boar taint and water holding capacity (WHC) are important quality criteria in pig production and affect the financial output, the nutritional composition as well as the consumer appeal of pork. Both, boar taint and WHC are measured by several traits which can be characterized by complex genetic architecture and molecular mechanisms. Thus, the analysis of the transcriptome and proteome using high-throughput technologies are necessary to elucidate the molecular mechanisms and to identify biomarkers with the potential to be developed as markers that can be monitored in such traits. The aim of this study was therefore to provide a transcriptome and proteome analysis in liver and muscle samples from crossbred animals with as well different androstenone and skatole levels and high and low drip loss.
In the first study, microarray analysis using the porcine Affymetrix gene chip in liver tissues from 10 boars of a Pietrain F2 crossbred with high and low androstenone, high and low skatole levels and grouping of combined phenotypes revealed 264 differentially expressed genes (DEGs). Only two genes could be identified in liver between high and low androstenone group, whereas 92 DEGs (p ≤ 0.05) between high and low skatole group were identified. Out of these genes, 49 were up - and 43 downregulated in samples with high skatole level. In addition, when a combined phenotype of androstenone and skatole was analyzed, 170 DEGs were identified of which 86 showed an increased and 84 a decreased level of expression. The differentially expressed genes were mainly assigned in metabolic processes, oxidative reductase activity and lipid metabolism. In summary, this study could be obtained an insight into the biology of complex characteristic. The high number of genes identified by comparing groups of combined phenotypes suggests a strong relationship between androstenone and skatole and should be considered in future investigation.
In the second study samples of musculus longissimus dorsi with high and low drip loss from a Duroc × Pietrain (DuPi) F2 resource population (n = 42) was used. The relative protein quantification was done using isotope-coded protein labeling techniques (ICPL) and electrospray ionization liquidchromatography- tandem mass spectrometry (LC-MS/MS). In total, 763 different proteins were identified. Among these different proteins, PYGL, PYGM, HSPA8, EE1A1, ACTA1, CASQ1, FLN-C, MYOM1, TNNT3, and HSP27 were up-regulated and TNNI1, MYL3, MYL2, MB, MYBPC1, FHL1C, TPM1, TPM2, AK1, TNNC2, MYL11, CK, PGK1 and MYH7 down-regulated in animals with low drip loss compared to animals with high drip loss. Results revealed that with high drip loss meat was characterized by a higher level of glycolytic enzymes than in low drip loss meat. Additionally, we could observe that higher levels of chaperone proteins were associated with a low drip loss level. In conclusion, proteomics studies contribute to understand the underlying metabolisms of different meat quality traits. In further steps combining genomics, proteomics and metabolomics data should enable a holistic view of the relevant biological systems.},

url = {http://hdl.handle.net/20.500.11811/5847}
}

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