Dataset Information

Different expression of lipid metabolism-related genes in Shandong black cattle and Luxi cattle based on transcriptome analysis.

ABSTRACT: To provide new ideas for improving meat quality and generating new breeds of cattle, the important candidate genes affecting fat deposition in two kinds of cattle were identified. Eighteen months Shandong black cattle (n?=?3) and Luxi cattle (n?=?3) were randomly assigned into two environmental. The longissimus dorsi muscles of Shandong Black Cattle and Luxi Cattle were collected and analyzed by fatty acid determination, high-throughput sequencing transcriptomics, qRT-PCR expression profile and western blot. The ratio of unsaturated fatty acids to saturated fatty acids was 1.37:1 and 1.24:1 in the muscle tissues of Shandong black cattle and Luxi cattle, respectively. The results of RNA-Seq analysis revealed 1320 DEGs between the longissimus dorsi of Shandong black cattle and Luxi cattle. A total of 867 genes were upregulated, and the other 453 genes were downregulated. With GO enrichment analysis, it was found that the identified DEGs were significantly enriched in regulation of the Wnt signaling pathway, negative regulation of the Wnt signaling pathway, cAMP metabolic process, fat cell differentiation and among other functions. We found that regulation of lipolysis in adipocytes was the significant enrichment pathway of upregulated genes and downregulated genes, PPAR signaling pathway and AMPK signaling pathway are highly representative pathways of lipid metabolism in Shandong black cattle. Network analysis showed that PPARGC1A, ADCY4, ANKRD6, COL1A1, FABP4, ADIPOQ, PLIN1, PLIN2, and LIPE genes were correlated with key loci genes in multiple metabolic pathways. Meanwhile we found that FABP4 and ADIPOQ had 7 common regulatory factors in different genes, which were PLIN1, PLIN2, PPARGC1A, RXRA, PCK1, LEPR, LEP. These genes were involved in regulation of lipolysis in adipocytes, adipocytokine signaling pathway, PPAR signaling pathway. FABP4 and ADIPOQ were selected as important candidate marker genes for fat deposition based on the results.

SUBMITTER: Liu R

PROVIDER: S-EPMC7736358 | biostudies-literature | 2020 Dec

REPOSITORIES: biostudies-literature

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Different expression of lipid metabolism-related genes in Shandong black cattle and Luxi cattle based on transcriptome analysis.

Liu Ruili R Liu Xianxun X Bai Xuejin X Xiao Chaozhu C Dong Yajuan Y

Scientific reports 20201214 1

To provide new ideas for improving meat quality and generating new breeds of cattle, the important candidate genes affecting fat deposition in two kinds of cattle were identified. Eighteen months Shandong black cattle (n = 3) and Luxi cattle (n = 3) were randomly assigned into two environmental. The longissimus dorsi muscles of Shandong Black Cattle and Luxi Cattle were collected and analyzed by fatty acid determination, high-throughput sequencing transcriptomics, qRT-PCR expression profile and ...[more]

PMID: 33318614

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Project description:Black cattle is a new breed of beef cattle developed by combining modern biotechnologies such as somatic cell cloning and conventional breeding methods. To provide new ideas for improving meat quality and generating new breeds of cattle, the important candidate genes affecting fat deposition in two kinds of cattle were identified. Eighteen months Black cattles and Luxi cattles were randomly assigned into two environmental. The longissimus dorsi muscle were collected on Black cattle and Luxi cattle,for analyses including fatty acid determinationrs, high-throughput sequencing metagenomics, qRT-PCR expression profile and western blot.The ratio of unsaturated fatty acids to saturated fatty acids was 1.37:1 and 1.24:1 in the muscle tissues of Black cattle and Luxi cattle, respectively. The results of RNA-Seq analysis revealed 1,415 DEGs(fold change ≥ ± 2, P<0.05) between the longissimus dorsi of Black cattle and yellow cattle. A total of 939 genes were upregulated, and the other 476 genes were downregulated. With GO enrichment analysis, it was found that the identified DEGs were significantly enriched in biological regulation, regulation of the Wnt signaling pathway, negative regulation of the Wnt signaling pathway, cAMP metabolic process, fat cell differentiation, and brown fat cell differentiation, among other functions. Regulation of lipolysis in adipocytes, AMPK signaling pathway, adipocytokine signaling pathway and PPAR signaling pathway in the KEGG pathway database were significantly enriched. PPI network analysis showed that the downregulated genes FABP4, ADIPOQ, PLIN1, PLIN2 and LIPE were closely linked to other DEGs and were the key sites of multiple metabolic pathways. Combined with qRT-PCR and protein expression profile analysis, the expression level of fat acid metabolism related genes (FABP4, ADIPOQ) in black cattle was high and the difference was significant. Changes in the expression of fatty acid metabolism-related genes in Black cattle and Luxi cattle were analyzed and important candidate marker genes (such as ADIPOQ and FABP4) that affect fat deposition were identified in order to provide a genetic basis for the efficient breeding of production performance, establish a molecular marker database for local cattle breeds and support the cultivation of new breeds.

Project description:BackgroundRapidly driven by the need for developing sustainable sources of nutritionally important fatty acids and the rising concerns about environmental impacts after using fossil oil, oil-plants have received increasing awareness nowadays. As an important oil-rich plant in China, Camellia oleifera has played a vital role in providing nutritional applications, biofuel productions and chemical feedstocks. However, the lack of C. oleifera genome sequences and little genetic information have largely hampered the urgent needs for efficient utilization of the abundant germplasms towards modern breeding efforts of this woody oil-plant.ResultsHere, using the 454 GS-FLX sequencing platform, we generated approximately 600,000 RNA-Seq reads from four tissues of C. oleifera. These reads were trimmed and assembled into 104,842 non-redundant putative transcripts with a total length of ∼38.9 Mb, representing more than 218-fold of all the C. oleifera sequences currently deposited in the GenBank (as of March 2014). Based on the BLAST similarity searches, nearly 42.6% transcripts could be annotated with known genes, conserved domains, or Gene Ontology (GO) terms. Comparisons with the cultivated tea tree, C. sinensis, identified 3,022 pairs of orthologs, of which 211 exhibited the evidence under positive selection. Pathway analysis detected the majority of genes potentially related to lipid metabolism. Evolutionary analysis of omega-6 fatty acid desaturase (FAD2) genes among 20 oil-plants unexpectedly suggests that a parallel evolution may occur between C. oleifera and Olea oleifera. Additionally, more than 2,300 simple sequence repeats (SSRs) and 20,200 single-nucleotide polymorphisms (SNPs) were detected in the C. oleifera transcriptome.ConclusionsThe generated transcriptome represents a considerable increase in the number of sequences deposited in the public databases, providing an unprecedented opportunity to discover all related-genes associated with lipid metabolic pathway in C. oleifera. It will greatly enhance the generation of new varieties of C. oleifera with increased yields and high quality.

Project description:BackgroundStudies have shown that the lipid metabolism mediator leukotriene and prostaglandins are associated with the pathogenesis of allergic rhinitis (AR). The aim of this study was to identify key lipid metabolism-related genes (LMRGs) related to the diagnosis and treatment of AR.Materials and methodsAR-related expression datasets (GSE75011, GSE46171) were downloaded through the Gene Expression Omnibus (GEO) database. First, weighted gene co-expression network analysis (WGCNA) was used to get AR-related genes (ARRGs). Next, between control and AR groups in GSE75011, differentially expressed genes (DEGs) were screened, and DEGs were intersected with LMRGs to obtain lipid metabolism-related differentially expressed genes (LMR DEGs). Protein-protein interaction (PPI) networks were constructed for these LMR DEGs. Hub genes were then identified through stress, radiality, closeness and edge percolated component (EPC) analysis and intersected with the ARRGs to obtain candidate genes. Biomarkers with diagnostic value were screened via receiver operating characteristic (ROC) curves. Differential immune cells screened between control and AR groups were then assessed for correlation with the diagnostic genes, and clinical correlation analysis and enrichment analysis were performed. Finally, real-time fluorescence quantitative polymerase chain reaction (RT-qPCR) was made on blood samples from control and AR patients to validate these identified diagnostic genes.Results73 LMR DEGs were obtained, which were involved in biological processes such as metabolism of lipids and lipid biosynthetic processes. 66 ARRGs and 22 hub genes were intersected to obtain four candidate genes. Three diagnostic genes (LPCAT1, SGPP1, SMARCD3) with diagnostic value were screened according to the AUC > 0.7, with markedly variant between control and AR groups. In addition, two immune cells, regulatory T cells (Treg) and T follicular helper cells (TFH), were marked variations between control and AR groups, and SMARCD3 was significantly associated with TFH. Moreover, SMARCD3 was relevant to immune-related pathways, and correlated significantly with clinical characteristics (age and sex). Finally, RT-qPCR results indicated that changes in the expression of LPCAT1 and SMARCD3 between control and AR groups were consistent with the GSE75011 and GSE46171.ConclusionLPCAT1, SGPP1 and SMARCD3 might be used as biomarkers for AR.

Dataset Information

Different expression of lipid metabolism-related genes in Shandong black cattle and Luxi cattle based on transcriptome analysis.

Publications

Different expression of lipid metabolism-related genes in Shandong black cattle and Luxi cattle based on transcriptome analysis.

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