art:10.1186/s12864-016-2850-8.pdf 1,94MB
1000 Titel
  • MicroRNA-mRNA regulatory networking fine-tunes the porcine muscle fiber type, muscular mitochondrial respiratory and metabolic enzyme activities
1000 Autor/in
  1. Liu, Xuan |
  2. Trakooljul, Nares |
  3. Hadlich, Frieder |
  4. Muráni, Eduard |
  5. Ponsuksili, Siriluck |
  6. Wimmers, Klaus |
1000 Erscheinungsjahr 2016
1000 LeibnizOpen
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2016-08-02
1000 Erschienen in
1000 Quellenangabe
  • 17:531
1000 FRL-Sammlung
1000 Copyrightjahr
  • 2016
1000 Lizenz
1000 Verlagsversion
  • |
  • |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • BACKGROUND: MicroRNAs (miRNAs) are small non-coding RNAs that play critical roles in diverse biological processes via regulation of gene expression including in skeletal muscles. In the current study, miRNA expression profile was investigated in longissimus muscle biopsies of malignant hyperthermia syndrome-negative Duroc and Pietrain pigs with distinct muscle metabolic properties in order to explore the regulatory role of miRNAs related to mitochondrial respiratory activity and metabolic enzyme activity in skeletal muscle. RESULTS: A comparative analysis of the miRNA expression profile between Duroc and Pietrain pigs was performed, followed by integration with mRNA profiles based on their pairwise correlation and computational target prediction. The identified target genes were enriched in protein ubiquitination pathway, stem cell pluripotency and geranylgeranyl diphosphate biosynthesis, as well as skeletal and muscular system development. Next, we analyzed the correlation between individual miRNAs and phenotypical traits including muscle fiber type, mitochondrial respiratory activity, metabolic enzyme activity and adenosine phosphate concentrations, and constructed the regulatory miRNA-mRNA networks associated with energy metabolism. It is noteworthy that miR-25 targeting BMPR2 and IRS1, miR-363 targeting USP24, miR-28 targeting HECW2 and miR-210 targeting ATP5I, ME3, MTCH1 and CPT2 were highly associated with slow-twitch oxidative fibers, fast-twitch oxidative fibers, ADP and ATP concentration suggesting an essential role of the miRNA-mRNA regulatory networking in modulating the mitochondrial energy expenditure in the porcine muscle. In the identified miRNA-mRNA network, a tight relationship between mitochondrial and ubiquitin proteasome system at the level of gene expression was observed. It revealed a link between these two systems contributing to energy metabolism of skeletal muscle under physiological conditions. CONSLUSIONS: We assembled miRNA-mRNA regulatory networks based on divergent muscle properties between different pig breeds and further with the correlation analysis of expressed genes and phenotypic measurements. These complex networks relate to muscle fiber type, metabolic enzyme activity and ATP production and may contribute to divergent muscle phenotypes by fine-tuning the expression of genes. Altogether, the results provide an insight into a regulatory role of miRNAs in muscular energy metabolisms and may have an implication on meat quality and production.
1000 Sacherschließung
lokal miRNA-mRNA network
lokal Muscle
lokal Mitochondrial respiratory activity
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
1000 Label
1000 Förderer
  1. Deutsche Forschungsgemeinschaft (DFG) |
  2. Leibniz Association |
  3. Leibniz Institute for Farm Animal Biology (FBN) |
1000 Fördernummer
  1. WE 4079/1-1
  2. -
  3. -
1000 Förderprogramm
  1. -
  2. Open Access fund
  3. Open Access fund
1000 Dateien
1000 Förderung
  1. 1000 joinedFunding-child
    1000 Förderer Deutsche Forschungsgemeinschaft (DFG) |
    1000 Förderprogramm -
    1000 Fördernummer WE 4079/1-1
  2. 1000 joinedFunding-child
    1000 Förderer Leibniz Association |
    1000 Förderprogramm Open Access fund
    1000 Fördernummer -
  3. 1000 joinedFunding-child
    1000 Förderer Leibniz Institute for Farm Animal Biology (FBN) |
    1000 Förderprogramm Open Access fund
    1000 Fördernummer -
1000 Objektart article
1000 Beschrieben durch
1000 @id frl:6403665.rdf
1000 Erstellt am 2017-08-03T14:08:58.297+0200
1000 Erstellt von 122
1000 beschreibt frl:6403665
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