ABSTRACT: Identification of novel candidate genes associated with intramuscular fat content in porcine longissimus dorsi muscle via transcriptome analysis
Project description:we collected tissues of subcutaneous fat and longissimus dorsi (LD) muscle from individuals that have divergent of backfat thickness and intramuscular fat content, and have similar age and body weight. The transcriptomic and proteomic data were gained using RNA-Seq and TMT to identify the key genes and pathways that specifically regulate the subcutaneous fat and intramuscular fat deposition in Dingyuan pig.
Project description:The content of intramuscular fat (IMF) is closely related to meat quality traits. In this study, in order to explore the candidate genes related to IMF content, the longissimus dorsi muscle of Guangling donkey was measured for intramuscular fat content. According to its intramuscular fat content, it was divided into two groups, the low fat group (L , N=3) and high-fat group (H, n=3), using RNA-seq to identify differentially expressed genes (DGEs) on the longissimus dorsi muscle tissue of Guangling donkey with high and low intramuscular fat content to reveal the possibility Gene network and metabolic pathways that help increase intramuscular fat content. A total of 167 DEGs (|log2Fold Change|>=1 and FDR<0.05) were detected in the high (H) and low (L) groups of Guangling donkeys, of which 64 were up-regulated genes and 103 were down-regulated genes. The GO enrichment and KEGG pathway analysis showed that these differential genes were enriched in several biological processes and pathways related to adipocyte differentiation, lipid biosynthesis, and neutral lipid metabolism. These results will help to further explore the molecular mechanism of IMF deposition in donkeys and provide a theoretical basis for the molecular breeding of Guangling donkeys.
Project description:The intramuscular fat (IMF) content of different beef cattle breeds varies greatly, which plays an important role in taste and nutritional value. However, the molecular mechanism of fat metabolism and deposition in beef cattle is still not very clear. In this study, the meat quality traits of Angus cattle and Chinese Simmental cattle were compared, the transcriptome of the longissimus dorsi muscle (LD) between Angus cattle and Chinese Simmental cattle was then analyzed to identify key genes related to fat metabolism and adipogenesis by high-throughput RNA-seq technology. In the current study conducted a comprehensive analysis on the transcriptome of the longissimus dorsi muscle (LD) of Angus and Simmental cattle, and identified differentially expressed genes related to lipid metabolism，which may have a great impact on on the formation of IMF.
Project description:Intramuscular (i.m.) fat content influencing consumer’s acceptability of pork is considered as a limiting factor for meat quality. To gain insight into the biological basis of individual variability in i.m. fat content, both gene expression profiling and proteomic investigation were associated in pig longissimus muscle (LM). Keywords: intramuscular fat, gene expression, pigs, proteomics, microarray, pork meat
Project description:The objective of this study was to identify key genes associated with porcine muscle growth and adipose metabolism which different expression in porcine longissimus dorsi muscle tissue between Fat Type Pig(Taihu pig) and Lean Type Pig (Landrace), among developmental phases(Month 0,1,2,3,4,5). The gene expression analyses will increase understanding of impact factors of pork quality by identifying key genes and pathways controlling longissimus dorsi muscle development. Relative real-time RT-PCR was used to confirm differential expression of 5 different expression genes(PPARGC1A, RYR1, IGF2, IGF1R and IGFBP5) which normalized by 3 housekeep genes(ACTB, TBP and TOP2B). Keywords: time course and breed comparison
Project description:To understand the role of message RNA (mRNAs, lncRNAs and circRNAs) in regulation of intramuscular fat deposition, the expression profiles of longissimus dorsi muscle from six Laiwu pigs were sequenced based on rRNA-depleted library construction. We then performed gene expression profiling analysis using data obtained from RNA-seq.
