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Details

Autor(en) / Beteiligte
Titel
Metabogenomic analysis to functionally annotate the regulatory role of long non-coding RNAs in the liver of cows with different nutrient partitioning phenotype
Ist Teil von
  • Genomics (San Diego, Calif.), 2022-01, Vol.114 (1), p.202-214
Ort / Verlag
United States: Elsevier Inc
Erscheinungsjahr
2022
Link zum Volltext
Quelle
Elsevier ScienceDirect Journals Complete
Beschreibungen/Notizen
  • Long non-coding RNAs (lncRNAs) hold gene regulatory potential, but require substantial further functional annotation in livestock. Applying two metabogenomic approaches by combining transcriptomic and metabolomic analyses, we aimed to identify lncRNAs with potential regulatory function for divergent nutrient partitioning of lactating crossbred cows and to establish metabogenomic interaction networks comprising metabolites, genes and lncRNAs. Through correlation analysis of lncRNA expression with transcriptomic and metabolomic data, we unraveled lncRNAs that have a putative regulatory role in energy and lipid metabolism, the urea and tricarboxylic acid cycles, and gluconeogenesis. Especially FGF21, which correlated with a plentitude of differentially expressed genes, differentially abundant metabolites, as well as lncRNAs, suggested itself as a key metabolic regulator. Notably, lncRNAs in close physical proximity to coding-genes as well as lncRNAs with natural antisense transcripts appear to perform a fine-tuning function in gene expression involved in metabolic pathways associated with different nutrient partitioning phenotypes. •Hepatic lncRNAs are associated with nutrient partitioning in lactating cows.•A metabogenomic analysis enabled functional annotation of bovine hepatic lncRNAs.•Hepatic lncRNAs display regulatory potential for lipid metabolism and urea cycle.•Crossbred cows show metabogenomic patterns similar to high-yielding dairy cows.•Hepatic FGF21 is one of the central players in early lactation of multiparous cows.

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