Functional analysis of the chicken PPARγ gene 5′-flanking region and C/EBPα-mediated gene regulation

C/EBPα promotes triacylglycerol synthesis via regulating PPARG promoter activity in goat mammary epithelial cells

CCAAT/enhancer binding protein α (C/EBPα) is the key transcription factor involved in lipid metabolism, however, the role of C/EBPα in milk fat synthesis of dairy goats remains unknown. The objective of the present research was to clarify the function of C/EBPα in goat mammary epithelial cells (GMECs) and its impact on peroxisome proliferator-activated receptor gamma (PPARG) promoter activity. In this study, C/EBPα overexpression increased its mRNA and protein levels by 42-fold and 6-fold, respectively. In contrast, transfecting siRNA targeting C/EBPα decreased its mRNA level to 20% and protein abundance to 80% of the basal level. The contents of lipid droplets, triacylglycerol (TAG), and cholesterol were increased (P < 0.05) in C/EBPα-overexpressing GMECs, and knockdown of C/EBPα led to the opposite results. Overexpression of C/EBPα significantly increased the expression levels of genes involved in TAG synthesis (AGPAT6, DGAT2, P < 0.01), lipid droplet formation (PLIN2, P < 0.01), and fatty acid synthesis (FADS2, P < 0.05; ELOVL6, P < 0.01). Knockdown of C/EBPα decreased (P < 0.05) the expression levels of AGPAT6, DGAT1, DGAT2, PLIN2, FADS2, and ELOVL6. C/EBPα upregulated the expression level of PPARG (P < 0.05), and four C/EBPα binding regions were identified in the PPARG promoter at -1,112 to -1,102 bp, -734 to -724 bp, -248 to -238 bp, and -119 to -109 bp. Knockdown of C/EBPα reduced (P < 0.05) the PPARG promoter activity when the C/EBPα binding regions were mutated at -1,112 to -1,102 bp, -734 to -724 bp, and -248 to -238 bp locations of the promoter. However, the promoter activity did not change when the mutation was located at -119 bp. In conclusion, our results suggest that C/EBPα can promote TAG synthesis in GMECs through its effects on mRNA abundance of genes related to lipid metabolism and regulation of the PPARG promoter activity via C/EBPα binding regions.

Transcriptomic analysis reveals the dynamic changes of transcription factors during early development of chicken embryo

BACKGROUND

The transition from fertilized egg to embryo in chicken requires activation of hundreds of genes that were mostly inactivated before fertilization, which is accompanied with various biological processes. Undoubtedly, transcription factors (TFs) play important roles in regulating the changes in gene expression pattern observed at early development. However, the contribution of TFs during early embryo development of chicken still remains largely unknown that need to be investigated. Therefore, an understanding of the development of vertebrates would be greatly facilitated by study of the dynamic changes in transcription factors during early chicken embryo.

RESULTS

In the current study, we selected five early developmental stages in White Leghorn chicken, gallus gallus, for transcriptome analysis, cover 17,478 genes with about 807 million clean reads of RNA-sequencing. We have compared global gene expression patterns of consecutive stages and noted the differences. Comparative analysis of differentially expressed TFs (FDR < 0.05) profiles between neighboring developmental timepoints revealed significantly enriched biological categories associated with differentiation, development and morphogenesis. We also found that Zf-C2H2, Homeobox and bHLH were three dominant transcription factor families that appeared in early embryogenesis. More importantly, a TFs co-expression network was constructed and 16 critical TFs were identified.

CONCLUSION

Our findings provide a comprehensive regulatory framework of TFs in chicken early embryo, revealing new insights into alterations of chicken embryonic TF expression and broadening better understanding of TF function in chicken embryogenesis.

Molecular Regulation of Lipogenesis, Adipogenesis and Fat Deposition in Chicken

In the poultry industry, excessive fat deposition is considered an undesirable factor, affecting feed efficiency, meat production cost, meat quality, and consumer’s health. Efforts to reduce fat deposition in economically important animals, such as chicken, can be made through different strategies; including genetic selection, feeding strategies, housing, and environmental strategies, as well as hormone supplementation. Recent investigations at the molecular level have revealed the significant role of the transcriptional and post-transcriptional regulatory networks and their interaction on modulating fat metabolism in chickens. At the transcriptional level, different transcription factors are known to regulate the expression of lipogenic and adipogenic genes through various signaling pathways, affecting chicken fat metabolism. Alternatively, at the post-transcriptional level, the regulatory mechanism of microRNAs (miRNAs) on lipid metabolism and deposition has added a promising dimension to understand the structural and functional regulatory mechanism of lipid metabolism in chicken. Therefore, this review focuses on the progress made in unraveling the molecular function of genes, transcription factors, and more notably significant miRNAs responsible for regulating adipogenesis, lipogenesis, and fat deposition in chicken. Moreover, a better understanding of the molecular regulation of lipid metabolism will give researchers novel insights to use functional molecular markers, such as miRNAs, for selection against excessive fat deposition to improve chicken production efficiency and meat quality.

Master regulator genes and their impact on major diseases

Master regulator genes (MRGs) have become a hot topic in recent decades. They not only affect the development of tissue and organ systems but also play a role in other signal pathways by regulating additional MRGs. Because a MRG can regulate the concurrent expression of several genes, its mutation often leads to major diseases. Moreover, the occurrence of many tumors and cardiovascular and nervous system diseases are closely related to MRG changes. With the development in omics technology, an increasing amount of investigations will be directed toward MRGs because their regulation involves all aspects of an organism’s development. This review focuses on the definition and classification of MRGs as well as their influence on disease regulation.

Investigation of the CEBPA gene expression pattern and association analysis of its polymorphisms with meat quality traits in chickens

Meat quality is closely related to the fat deposition which is regulated by a cascade of transcription factors. As a transcription factor, the CCAAT/enhancer binding protein alpha (CEBPA) is considered as one of the key molecules regulating adipogenesis. Therefore, the objective of this study was to detect the expression pattern of the CEBPA gene and evaluate whether its single nucleotide polymorphisms (SNPs) were associated with the meat quality traits in Wuliang Mountain Black-bone (WLMB) chickens. The results showed that the chicken CEBPA mRNA was widely expressed in the 11 tissues, and the expression pattern of it might be tissue- and time-specific different. The locus of g.74C > G was not significantly associated with chicken meat quality. For the locus of g.552G > A, chickens with the GG genotype showed higher pH (p < 0.01), lower drip loss (p < 0.01) and higher intramuscular fat (p < 0.05) than those with other genotypes. It suggested that polymorphisms of the CEBPA gene were significantly associated with the meat quality traits of WLMB chickens. The results of this study contribute to the functional research of the CEBPA gene and lay the foundation for improving meat quality based on the marker-assisted selection in chickens.

Peroxisome proliferator-activated receptor-coactivator 1-beta (PGC-1β) modulates the expression of genes involved in adipogenesis during preadipocyte differentiation in chicken

To study the influence of the PGC-1β gene on chicken adipocyte proliferation and differentiation, we constructed RNA interference (RNAi) vectors that target the PGC-1β gene and transfected these vectors into adipocytes. Oil Red O staining and a CCK-8 cell kit were used to determine cell triglyceride accumulation status and cell proliferation after transfection, respectively. The mRNA abundances of PGC-1β and adipocyte-differentiation-related genes (PPARγ, C/EBPα, SREBP-1c, FAS, and A-FABP) were detected by real-time PCR. The results showed that the mRNA and protein abundances of PGC-1β in PGC-1β-shRNA transfected adipocytes were significantly lower than those in the control. Interference decreased cell differentiation, but did not depress the cell proliferation. PGC-1β interference impeded the triglyceride accumulation, the mRNA expression levels of nuclear receptors PPARγ and SREBP-1c, and fatty acid synthetase (FAS), and both proteins PPARγ and SREBP-1c, and the fatty acids transporting protein A-FABP. Generally, PGC-1β modulated the cell differentiation and triglyceride accumulation in chicken adipocytes.

Identification and characterization of transcript variants of chicken peroxisome proliferator-activated receptor gamma

Peroxisome proliferator-activated receptor gamma regulates adipogenesis. The genomic structure of the chicken peroxisome proliferator-activated receptor gamma (cPPARγ) gene has not been fully characterized, and only one cPPARγ gene mRNA sequence has been reported in genetic databases. Using 5' rapid amplification of cDNA ends, we identified five different cPPARγ mRNAs that are transcribed from three transcription initiation sites. The open reading frame analysis showed that these five cPPARγ transcript variants (cPPARγ1 to 5) could encode two cPPARγ protein isoforms (cPPARγ1 and cPPARγ2), which differ only in their N-terminal region. Quantitative real-time RT-PCR analysis showed that, of these five cPPARγ transcript variants, cPPARγ1 was ubiquitously highly expressed in various chicken tissues, including adipose tissue, liver, kidney, spleen and duodenal; cPPARγ2 was exclusively highly expressed in adipose tissue; cPPARγ3 was highly expressed in adipose tissue, kidney, spleen and liver; cPPARγ4 and cPPARγ5 were ubiquitously weakly expressed in all the tested tissues, and comparatively, cPPARγ5 was highly expressed in adipose tissue, heart, liver and kidney. The comparison of the expression of the five cPPARγ transcript variants showed that adipose tissue cPPARγ1 expression was significantly higher in the fat line than in the lean line from 2 to 7 wk of age (P < 0.05 or P < 0.01). Adipose tissue cPPARγ3 expression was significantly higher in the fat line than in the lean line at 3, 5 and 6 wk of age (P < 0.01, P < 0.05), but lower at 4 wk of age (P < 0.05). Adipose tissue cPPARγ5 expression was significantly higher in the fat line than in the lean line at 3, 4, and 6 wk of age (P < 0.01) and at 2 and 7 wk of age (P < 0.05). This is the first report of transcript variants and protein isoforms of cPPARγ gene. Our findings provided a foundation for future investigations of the function and regulation of cPPARγ gene in adipose tissue development.

Folate supplementation modifies CCAAT/enhancer-binding protein α methylation to mediate differentiation of preadipocytes in chickens

Folate, an essential vitamin participating in 1-carbon metabolism leading to a methyl donor function, is a key factor inducing epigenetic changes. This study sought to determine if folate influences the methylation level of cytosine-guanine (CpG) islands in the promoters of critical adipogenic genes in chickens, and how this might affect gene expression and differentiation of preadipocytes in vitro. Preadipocytes were treated with 0 to 16 mg/L of folate during the induction of differentiation, and cell proliferation and lipid accumulation were assessed. The folate supplementation resulted in enhanced cell proliferation and decreased content of lipid per adipocyte at d 6 of differentiation. The effects of folate on relative expression of genes critical for adipocyte differentiation and 1-carbon metabolism were measured by quantitative reverse-transcription PCR. Folate caused a dose-dependent decrease in transcript abundance of peroxisome proliferator-activated receptor γ (PPARγ), CCAAT/enhancer-binding protein α (C/EBPα) gene expression, and the downstream enzyme fatty acid synthase; in contrast, expression of DNA (cytosine-5)-methyltransferase and methylenetetrahydrofolate reductase was obviously upregulated at d 6 of differentiation (P < 0.05). The DNA methylation was examined with the bisulfite sequencing PCR method. Overall CpG methylation in the C/EBPα gene promoter region was 21.8% lower (P < 0.05) and the gene's expression was 2.7-fold higher in the absence of folate, compared with cells treated with 16 mg/L of folate, whereas methylation of the PPARγ promoter was not affected. Overall, the results show that folate increased the proliferation of adipocytes but reduced per-cell lipid accumulation, thereby influencing differentiation; it increased expression of genes involved in 1-carbon metabolism resulting in greater methylation of the C/EBPα promoter during differentiation and decreased that gene's expression, perhaps accounting for decreased expression of PPARγ.

Structural Features and Transcriptional Activity of Chicken PPARs (α, β, and γ)

While an understanding of lipid metabolism in chickens is critical for a further improvement of food production, there are few studies concerning differences in lipid metabolism mechanisms between chickens and other species at a molecular level. Chickens have three PPAR gene subtypes (α, β, and γ) that function differently from those present in humans and mice. The chicken PPAR-gamma (cPPARγ) gene is shorter than that in humans and lacks a γ2 isoform. Moreover, in serum-free media, cPPARγ shows high transcriptional activity without exogenous ligands. Luciferase reporter assays were used to examine the effect of sera on cPPAR transcriptional activities and showed that adult bovine serum and chicken serum highly activate cPPARα and β functions. Moreover, we found that bezafibrate induces the transactivation function of cPPARβ, but not human PPARδ (human PPARβ ortholog). This ligand selectivity relies on one amino acid residue (chicken: Val419, human: Met444). These results show the possibilities for unique functions of cPPARs on chicken-specific lipid glucose metabolism. As such, a better understanding of the molecular mechanisms of lipid metabolism in chickens could result in higher productivity for the poultry industry.