2019
DOI: 10.1186/s12864-019-6221-0
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Transcriptional insights into key genes and pathways controlling muscle lipid metabolism in broiler chickens

Abstract: BackgroundIntramuscular fat (IMF) is one of the most important factors positively associated with meat quality. Triglycerides (TGs), as the main component of IMF, play an essential role in muscle lipid metabolism. This transcriptome analysis of pectoralis muscle tissue aimed to identify functional genes and biological pathways likely contributing to the extreme differences in the TG content of broiler chickens.ResultsThe study included Jingxing-Huang broilers that were significantly different in TG content (5.… Show more

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Cited by 72 publications
(61 citation statements)
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“…The content of IMF, TG, and TCHO was conducted as reported previously [22]. The IMF content of the pectoralis major muscle was determined by extraction with anhydrous ether in a Soxhlet apparatus [23], and expressed as a percentage of the dry weight of the muscle sample.…”
Section: Phenotype Measurementmentioning
confidence: 99%
“…The content of IMF, TG, and TCHO was conducted as reported previously [22]. The IMF content of the pectoralis major muscle was determined by extraction with anhydrous ether in a Soxhlet apparatus [23], and expressed as a percentage of the dry weight of the muscle sample.…”
Section: Phenotype Measurementmentioning
confidence: 99%
“…Further, the expression levels of some classical genes were veri ed by qRT-PCR. These representative lipid metabolism related genes mainly involved in intracellular fat decomposition (DGKH, DGKQ, and DGKD) [21,22], extracellular fat decomposition (LPL) [23], fatty acid synthesis (ELOVL1, ELOVL6, FADS1L1, FADS6, SCD, and SCD5) [22][23][24][25], fatty acid transport (FABP3 and FABP4) [26,27], fat maintenance (CIDEC, MOGAT1, PLIN3, and PLIN4) [28][29][30][31] and adipocyte differentiation (PPARG, RBP7, and RXRG) [32,33]. The correlation analysis on data of RNA-seq and qRT-PCR showed that they had a strong positive correlation, which con rmed the accuracy of RNA-seq data.…”
Section: Discussionmentioning
confidence: 99%
“…Among them, eight pathways were related to lipid deposition and metabolism, including alpha-Linolenic acid metabolism (ko00592), FoxO signaling pathway (ko04068), Biosynthesis of unsaturated fatty acids (ko01040), Cell adhesion molecules (ko04514), Phosphonate and phosphinate metabolism (ko00440), Ether lipid metabolism (ko00565), Tight junction (ko04530) and Arachidonic acid metabolism (ko00590). Although some pathways were not signi cantly enriched, such as PPAR, Wnt, AMPK and mTOR signaling pathways, these pathways still played an important role in lipid deposition [31,[34][35][36]. Overall, the KEGG enrichment analysis of target genes revealed 16 critical pathways with 17 target genes (Table 3).…”
Section: Comprehensive Analysis Of Candidate Lncrnas and Mrnasmentioning
confidence: 99%
“…As the target gene of miR-132-3p, UCP2 can regulate the differentiation of sheep precursor fat cells [30]. RNA-seq on the broiler pectoralis major muscles has revealed that ADIPOQ and CIDEC were key genes involved in lipid deposition [31]. SOCS2 can also act as a regulator of adipocyte size [32].…”
Section: Identi Cation Of Differentially Expressed Mrnas and Lncrnasmentioning
confidence: 99%