Expression of genes controlling fat deposition in two genetically diverse beef cattle breeds fed high or low silage diets
© da Costa et al.; licensee BioMed Central Ltd. 2013
Received: 9 October 2012
Accepted: 12 June 2013
Published: 17 June 2013
Both genetic background and finishing system can alter fat deposition, thus indicating their influence on adipogenic and lipogenic factors. However, the molecular mechanisms underlying fat deposition and fatty acid composition in beef cattle are not fully understood. This study aimed to assess the effect of breed and dietary silage level on the expression patterns of key genes controlling lipid metabolism in subcutaneous adipose tissue (SAT) and longissimus lumborum (LL) muscle of cattle. To that purpose, forty bulls from two genetically diverse Portuguese bovine breeds with distinct maturity rates, Alentejana and Barrosã, were selected and fed either low (30% maize silage/70% concentrate) or high silage (70% maize silage/30% concentrate) diets.
The results suggested that enhanced deposition of fatty acids in the SAT from Barrosã bulls, when compared to Alentejana, could be due to higher expression levels of lipogenesis (SCD and LPL) and β-oxidation (CRAT) related genes. Our results also indicated that SREBF1 expression in the SAT is increased by feeding the low silage diet. Together, these results point out to a higher lipid turnover in the SAT of Barrosã bulls when compared to Alentejana. In turn, lipid deposition in the LL muscle is related to the expression of adipogenic (PPARG and FABP4) and lipogenic (ACACA and SCD) genes. The positive correlation between ACACA expression levels and total lipids, as well trans fatty acids, points to ACACA as a major player in intramuscular deposition in ruminants. Moreover, results reinforce the role of FABP4 in intramuscular fat development and the SAT as the major site for lipid metabolism in ruminants.
Overall, the results showed that SAT and LL muscle fatty acid composition are mostly dependent on the genetic background. In addition, dietary silage level impacted on muscle lipid metabolism to a greater extent than on that of SAT, as evaluated by gene expression levels of adipogenic and lipogenic factors. Moreover, the response to diet composition evaluated through mRNA levels and fatty acid composition showed interesting differences between Alentejana and Barrosã bulls. These findings provide evidence that the genetic background should be taken into account while devising diet-based strategies to manipulate fatty acid composition of beef cattle tissues.
KeywordsBeef cattle Adipose tissue Muscle Gene expression Fat deposition
During the last decades consumers have started demanding animal products of low fat and high polyunsaturated fatty acids content, while maintaining high and consistent quality [1, 2]. To that purpose, research has been conducted on ruminant’s adipogenesis and lipogenesis in order to improve both the production efficiency and beef quality. Adipose tissue is involved in the regulation of body homeostasis, particularly in energy metabolism, storage and expenditure. In cattle, fatty acid type and amount in muscles are directly associated with meat quality and its value. In fact, subcutaneous and intramuscular adipose tissues are the most important fat depots concerning meat quality traits. It is desirable that cattle carcasses have minimal amounts of fat stored in subcutaneous adipose tissue (SAT), without a detrimental decrease in intramuscular fat . This can be achieved only if the regulation of lipid deposition in intramuscular and other fat depots differs substantially. Despite being the main site for de novo fatty acid and triacylglycerols (TAG) synthesis in ruminants , the SAT is also the most energetically inefficient fat depot and, therefore, considered an economic loss. However, while during the last decade knowledge of rodents and human fat physiology has progressed rapidly , the same information regarding ruminant species is very limited.
The expression level of adipogenic and lipogenic genes in adipose tissues is regulated by a number of transcription factors , whose differential expression is known to play a key role in lipid metabolism of cattle adipocytes . Adipogenesis, lipogenesis, and lipolysis occur through the interaction of endogenous genetic mechanisms (mediated through gene expression and regulated by intrinsic factors), external controls (endocrine agents, extrinsic factors and nutritional metabolites), as well as local interactions within cells in a fat depot . Despite the intricacies of lipogenesis and lipolysis, the role of some genes has been elucidated and confirmed to be related to fatty acid composition in cattle . Potential regulatory mechanisms involved in the fatty acid deposition are lipogenic (ACACA, LPL, FABP4 and SCD) and oxidative (CPT1B and CRAT) genes, as well as transcription regulators (PPARA, PPARG and SREBF1). These genes have been described [9–11] for their roles and expression patterns during adipocyte differentiation, namely in studies comparing the regulation of adipose tissue deposition in distinct cattle breeds [9, 12].
Genetic factors underlying both the deposition and the turnover of individual fatty acids are not fully understood, although breed has been found to influence beef fatty acid composition . Fatty acid composition in meat-producing animals is recognised to have implications on the nutritional and organoleptic properties of meat, as well as in its technological quality . Ruminant products can be an additional source of the beneficial long-chain n-3 PUFA (EPA and DHA) for human diets  when the consumption of n-3 PUFA-rich foods, such as fish, is low. In addition, ruminant meats are major dietary sources of DPA (22:5n-3). Thus, genetic selection and breeding of animals with a desirable meat fatty composition may provide a source of beneficial fatty acids for human consumption . Comparative differences of beef cattle present a unique resource to study several aspects of lipid metabolism. In addition to genetic factors, finishing systems can dramatically alter fat deposition , thus indicating that lipogenic activity is influenced by the dietary energy level, the energy source and, possibly, the forage to concentrate ratio. However, fatty acid composition in ruminant animals, unlike in monogastrics, is much less dependent on the diet, as a consequence of dietary fatty acid metabolism (i.e., isomerisation, biohydrogenation) within the rumen .
The biochemical processes and the molecular background affecting genetic variability of the complex trait of fat content and fatty acid composition are not yet fully understood, particularly with regard to European cattle breeds, because most of the recent studies have been performed on the specific genetic background of Japanese Black cattle . Therefore, we conducted a trial with bulls from two Portuguese genetically diverse breeds  with distinct maturity rates, Alentejana and Barrosã, fed high or low silage diets. The working hypothesis of the present paper was that the expression of key genes controlling lipid metabolism during the finishing phase of cattle is breed-specific (Alentejana vs. Barrosã) and diet-modulated (high vs. low silage). Furthermore, given the distinct roles of subcutaneous and intramuscular fat depots in cattle lipid metabolism, the tissue-specific variations were also investigated through the analysis of both SAT and muscle gene expression patterns. Finally, the breed-, diet- and tissue-specific relationships among the expression level of these genes and fat content and composition were also assessed.
Fatty acid composition of subcutaneous adipose tissue
Total lipids and fatty acid composition of subcutaneous adipose tissue from Alentejana and Barrosã breeds fed either high or low silage-based diets 1-3
Breed × Diet
Main individual fatty acids
Σ n-3 PUFA
Σ n-6 PUFA
Fatty acid composition of muscle
Total lipids and fatty acid composition of longissimus lumborum muscle from Alentejana and Barrosã breeds fed either high or low silage diets 1-3
Breed × Diet
Main individual fatty acids
Σ n-3 PUFA†
Σ n-6 PUFA*
Gene expression in subcutaneous adipose tissue
Gene expression in muscle
Correlation between gene expression and fatty acids
Pearson’s correlation coefficients between genes expression levels and fatty acid composition in subcutaneous adipose tissue and longissimus lumborum muscle from Alentejana and Barrosã breeds 1-2
For SAT, the correlation analysis revealed a positive relationship between total lipid content and FABP4 gene expression level (r = 0.38). In addition, this analysis showed negative correlations between this gene and 16:0 and 18:0 fatty acids (r = 0.45 and r = 0.41, respectively). Furthermore, positive correlations were found for FABP4 expression level and 18:1c9 (r = 0.34), 18:1c11 (r = 0.37) and c9,t11-CLA (r = 0.58), as well as for SFA (r = 0.51) and MUFA (r = 0.48). LPL gene expression had a negative association with 14:0 (r = −0.33) and 16:0 (r = −0.42), as well as the SFA (r = −0.34). In addition, positive correlations were found between LPL mRNA expression levels and total lipids (r = 0.34), 18:1c9 (r = 0.48) and c9,t11-CLA (r = 0.35), as well as with MUFA (r = 0.35). The SCD gene expression and the proportions of both 18:1c9 and c9,t11-CLA were positively correlated (r = 0.51 and r = 0.45, respectively). A moderate association was also observed between SCD gene expression and MUFA (r = 0.43). In addition, there was a negative correlation between 16:0 and expression of the SCD gene (r = −0.48). Concomitantly, SFA and SCD gene expression were also negatively correlated (r = −0.44).
Concerning the muscle, ACACA expression levels were correlated with total lipids (r = 0.48), and the percentages of TFA (r = 0.40). Correlations were also found between FABP4 mRNA levels and total lipids (r = 0.36), 18:1c9 (r = 0.42), and MUFA (r = 0.38). The mRNA levels for PPARA gene were negatively related to 18:1c9 (r = −0.33) percentages. Levels of PPARG expressionwere associated with the percentages of 14:0 (r = 0.35). A positive association was found for SCD mRNA levels and TFA (r = 0.39). Finally, 18:1c11 and TFA showed positive correlations (r = 0.48 and r = 0.33, respectively) with the expression levels of the SREBF1 gene.
Principal components analysis
Loadings for the first three principal components 1
Proportion of variance (%)
Cumulative variance (%)
The PC1, which explains 57% of the variability, separated tissues (SAT vs muscle), with lipogenic genes and total lipids associated with SAT metabolism (quadrants b and c). The PC2, which explains 13% of the variability, separated palmitic (16:0) and myristic (14:0) fatty acids (quadrant c) from the remaining fatty acids. In quadrant b, a cluster was defined by ACACA, CRAT, LPL, SCD, SREBF1 and PPARA genes. In addition, a cluster was formed by CLA, oleic acid (18:1c9) and the FABP4 gene. The score plot depicted in Figure 3B shows the location of the LL muscle and SAT samples in the multivariate space of the first two PCs. These scores were clearly arranged in two clusters, corresponding to each tissue. In addition, for SAT there was some degree of separation between Alentejana (mostly located on quadrant a) and Barrosã bulls (mostly located on quadrant d), whereas for muscle the distinction between experimental groups was not so clear.
The deposition of fat and fatty acids in animal tissues has been ascribed to a complex regulation network of lipogenic genes, although the molecular mechanisms underlying these systems remain to be established. Considering that adipose tissue physiology is related to both meat quality and animal production efficiency, understanding the factors affecting the depot-specific fat accretion and metabolism in beef cattle is of paramount importance. The present study addressed these aspects based on an experimental trial with two genetically diverse bovine breeds with distinct maturity rates, Alentejana and Barrosã, fed diets with different silage to concentrate ratios (30/70% vs. 70/30%). Albeit phylogenetically distant , Alentejana and Barrosã breeds are, nevertheless, more genetically similar than the breeds used in previous studies addressing adipogenic gene expression differences, mainly based on the Japanese Black genotype [20–22]. Nonetheless, results reported here indicate that genetic background and, to a lesser extent diet composition, determine fat content and composition, pointing out to a differential fat partitioning between subcutaneous and intramuscular fat in Alentejana and Barrosã breeds.
In order to elucidate the molecular mechanisms involved in this physiological process, these breed- and diet-specific variations are explained here through the transcript levels of nine key lipid metabolism-related genes. The PCA showed a close relationship among all adipogenic and lipogenic genes, which separated distinctively from CPT1 gene, involved in the β-oxidation pathway, but not CRAT. PPARG is a key activator of adipocyte differentiation and insulin sensitivity , inducing the transcription of many adipocyte genes encoding proteins and enzymes involved in the development and the maintenance of the adipocyte phenotype . Surprisingly, levels of expression of PPARG were kept unchanged among experimental groups in the SAT samples, although Barrosã breed tended to have higher expression levels in the muscle than Alentejana bulls. It was expected that Barrosã breed, being a precocious breed, would had a greater proportion of adipocytes undergoing differentiation and, therefore, would had a greater relative expression of PPARG than Alentejana bulls. Although PPARG expression peaks during adipocyte differentiation, it is also expressed in mature adipocytes, but at lower levels . Harper and Pethick  reported that the expression of PPARG decreases substantially as growth proceeds. Therefore, treatment differences may not have been detected if one group had adipocytes undergoing differentiation, whereas the other group may have greater number of mature adipocytes resulting in similar PPARG expression levels. Differences could, however, be detected at earlier stages of development. These results can be explained by the circumstance that subcutaneous fat develops earlier than intramuscular fat and, therefore, the tendency observed in the muscle was not detected in the SAT.
The SREBF1 gene encodes a transcription factor involved in adipocyte differentiation  and in the biosynthesis of fatty acids  being, possibly, implicated in a mechanism that links adipogenesis and lipogenesis. In particular, the SREBF1c isoform appears to be primarily involved in regulating the expression of lipogenic and fatty acid-metabolizing enzymes. The transcription and activation of SREBF1c protein was proposed to be regulated by the degree of saturation of lipids . Graugnard et al.  suggested that the expression of the SREBF1 gene could be nutritionally regulated. Transcriptional regulation of SREBF1 in most non-ruminant animals is sensitive to insulin, which under times of carbohydrate excess leads to stimulation of fatty acid synthesis and TAG deposition in adipose tissue . In the present study, insulin levels were also the highest in low silage fed bulls , as were the expression levels of SREBF1 in the SAT. Although the transcription factor SREBF1 is considered to regulate SCD expression , its expression levels were not consistent with that of SCD in the muscle.
As pre-adipocytes differentiate into mature adipocytes, LPL is one of the first genes expressed due to its role in the de novo fatty acid synthesis . A higher relative LPL mRNA expression in the SAT could indicate that Barrosã bulls had more adipocytes undergoing differentiation when compared to Alentejana bulls. Pickworth et al.  proposed that LPL may be a more definitive indicator of adipocyte differentiation than PPARG. Concerning the relationships between the fatty acids and LPL expression in SAT, the correlation analysis revealed close relationships between levels of LPL mRNA and 18:1c9, as well as c9,t11-CLA, among others. These results highlight the role of LPL in the control of TAG uptake and, consequently, on the fatty acid profile. However, the same pattern was not observed for the muscle and LPL showed no clear association with the main fatty acids. Taking into account that both SCD and LPL are expressed late in adipogenesis, increased gene expression would be consistent with more active adipocytes in SAT from Barrosã than in Alentejana bulls. Taken together, these results suggest that Barrosã bulls may have more differentiated adipocytes, which are capable of storing fat in the subcutaneous depot.
FABP4 protein is responsible for the transport of fatty acid outside the cell  and plays a role in lipolysis and fatty acid trafficking in different tissues [34–36]. Fat storage and metabolism within functional adipocytes are modulated by FABP4 , and thus levels of expression of this gene can be used as a marker of fully differentiated adipocytes . In fact, its association with intramuscular fat content and backfat thickness have been reported by Jurie et al. . Results herein presented for FABP4 expression are concomitant with a higher fatty acids deposition in the SAT from Barrosã when compared to Alentejana bulls. The higher expression levels of FABP4 in Barrosã bulls fed the low silage diet may be indicative of a higher level of adipogenic differentiation in the SAT of these animals. Several studies reported an association between bovine FABP4 gene expression or protein activity and intramuscular fat content [8, 26, 37], as well as backfat depth . Accordingly, in this study, the Barrosã carcasses had the highest intramuscular fat and carcass fatness scores (data not shown). Furthermore, levels of FABP4 expression were moderately associated with total lipids contents in the muscle, as well as with the 18:1c9 proportions and the associated desaturation index. On the other hand, FABP4 was associated with the main fatty acids in the SAT. These results reinforce the role of FABP4 in intramuscular fat development and the SAT as the major site for lipid metabolism in ruminants.
ACACA is a key regulator of lipogenesis and the rate-controlling enzyme in adipose tissue of meat-producing animals . The expression of the ACACA gene is highly inducible in the major lipogenic tissues  and the enzyme is nutritionally regulated [40, 41]. In a study by Joseph et al. , it was found that oleic acid had an inhibitory effect on the expression of lipogenic genes in the SAT. In line with this, data herein presented revealed that, in SAT, ACACA expression levels tended to be the highest in Barrosã bulls fed the low silage diet (lowest oleic acid content). However, in the muscle, the expression levels tended to be lower in the high silage fed animals. These results suggested that the effect of dietary fatty acid composition is not only influenced by the genetic background but also by the fat depot location. In addition, ACACA mRNA levels were shown to have a positive association with total lipid content in the muscle samples, thus adding evidence to the importance of this enzyme to intramuscular fat deposition in ruminants.
Dietary n-3 and n-6 PUFA have been shown to inhibit de novo lipogenesis in dairy cattle . Accordingly, our results showed a tendency for higher ACACA expression levels in the muscle from the low silage- in comparison to the high silage-fed bulls. Underwood et al.  reported a positive relationship between ACACA enzyme activity and intramuscular fat, which is consistent with our findings. In the present study, total lipids in the muscle were positively related to the expression of ACACA. Although this gene codifies for an enzyme which catalyses the formation of SFA, there was a positive association between ACACA expression levels and TFA. This suggests that an increase in TFA biosynthesis, that is, in desaturase activity, is a major factor in intramuscular (but not SAT) deposition in ruminants. In addition, CPT1B tended to show lower expression levels in the muscle from Alentejana, indicating higher fatty acid oxidation in the Barrosã breed.
Results concerning SCD gene expression, considered a marker of mature adipocytes , support the concept of a higher degree of maturity of the SAT adipocytes from the Barrosã than the Alentejana bulls, as observed for the FABP4 gene. The fatty acid composition of SAT mirrors the action of the SCD protein on substrates like stearic and palmitic acids. The correlation analysis between oleic acid proportions and SCD expression levels in the SAT was showed to be positive and significant. This result is in agreement with previous reports  that reported that increased SCD activity is, at least partially, responsible for an elevated oleic acid, the main MUFA, content in ruminant. Similarly, a significant correlation was also found between c9,t11-CLA percentage and SCD expression levels. Taniguchi et al.  reported a positive correlation between levels of SCD mRNA and MUFA proportion, which led to the conclusion that SCD expression might contribute to the differences in the SAT fatty acid composition between breeds. The variations observed in the fatty acid classes in the SAT and muscle samples were mostly due to breed. High MUFA proportions in SAT have been reported  and might be related to an elevated SCD activity. Overall, our results support the concept of a central role for SCD in adipose tissue fatty acid synthesis. Genes encoding lipogenic enzymes responsible for the de novo SFA synthesis and MUFA production were down-regulated in Alentejana breed when compared to Barrosã bulls. This is in agreement with changes in tissue fatty acid composition, in which 16:0 concentration, the end product of de novo SFA synthesis, and c9,t11-CLA, a product of delta-9 desaturation, were reduced in the SAT of Alentejana bulls when compared to that of Barrosã animals.
In contrast to what was observed in SAT, the expression levels of the SCD gene in the muscle were similar among the four experimental groups. Several authors reported that SCD mRNA  or protein expression levels  in muscle do not reflect intramuscular fat levels. The results herein reported are consistent with those of the previous studies. In addition, an association between SCD mRNA levels and MUFA contents in bovine SAT has been reported in several works [46–48]. Nonetheless, the same association has not been reported for muscle [45, 47, 49], which could point to a depot-specific regulation mechanism of SCD gene expression and/or enzyme activity. Finally, it should also be noted that there was a high individual variation in the SCD mRNA levels. Therefore, despite changes in relative gene expression mirroring the changes in MUFA proportion, the correlation analysis failed to establish a significant association between both. The lack of association between c9,t11-CLA and SCD expression is in agreement with data reported by both Ward et al.  and Bartoň et al. . Positive correlations, however, were found between the levels of SCD gene expression and total lipids, as well as TFA, both of which increase as fattening proceeds . It should however be taken into account that conclusions drawn from single-point observations may lead to the erroneous assumption that SCD was not affected and/or had a crucial role in intramuscular fat synthesis. In that regard, Graugnard et al.  suggested that responses to high starch diets might not necessarily lead to increased adipogenesis. Moreover, these authors reported with some surprise that animals fed a low starch/high fibre diet during the growing phase showed increases in expression of lipogenic genes PPARG, FABP4, and SCD during the finishing phase.
The PPARA gene induces the expression of the fatty acid β-oxidation genes [50, 52]. The tendency for a higher expression of PPARA in the SAT from Barrosã bulls fed the low silage diet in comparison to the remaining experimental groups is concomitant with a more intense β-oxidation in the former breed. In addition, PPARA has been shown to induce the expression of delta-5 and delta-6 desaturase genes . However, results from the present study revealed no clear association between the PPARA mRNA levels and the fatty acid composition of SAT.
Carnitine acyltransferases catalyse the exchange of acyl groups between carnitine and coenzyme A (CoA) . These enzymes include CRAT and carnitine palmitoyltransferases (CPTs) . The CPTs transesterify medium and long chain fatty acyl chains, whereas CRAT transesterifies short-chain acyl chains . High CRAT gene transcription levels may be indicative of an elevated number of differentiating cells during growth . The higher CRAT transcription levels found in the Barrosã bulls are in agreement with the higher lipid accumulation in the Barrosã SAT, in comparison to the Alentejana bulls. In contrast, the lack of a significant variation in their relative expression levels of both genes’ in muscle samples is in agreement with the similar expression levels observed for the genes indicative of terminal adipocyte differentiation (SCD, LPL and PPARG). In addition, the close association between CRAT and the genes involved in lipogenesis reinforces the relationship between lipogenesis and β-oxidation, thus being indicative of high lipid turnover in those animals with high lipid deposition.
If in SAT there was a clear effect of breed in fatty acid deposition, with no influence of diet composition, in the LL muscle the response to dietary silage levels depended on animals’ genetic background. In previous studies [56, 57], diets differing in starch contents (high starch vs. low starch), which is also the case of the present study, resulted in higher intramuscular fat in animals fed high starch diets. The interaction between breed and diet found suggests that the concept that high concentrate diets increase beef intramuscular  may be determined by breed and/or maturity. The differential response to diet composition between Alentejana and Barrosã bulls suggests distinct ruminal biohydrogenation patterns, as indicated by the intramuscular fatty acids contents, as well as the increased 18:2n-6 metabolic availability in Alentejana bulls fed the low silage diet. A differential regulation of fatty acid metabolism in distinct fat depots could explain the fact that no similar response was observed in SAT. Indeed, various fat depots have been reported to differ markedly in lipogenic activity [58, 59]. An increase in the SFA content is to be expected whenever the concentrate proportion in the diet is increased. Feed silage level had no effect on total SFA of both tissues. However, in the SAT stearic acid was higher in high silage than in low silage fed bulls, and also higher in Alentejana when compared to Barrosã breed, but no such effects were found in the LL muscle. Similarly, both total and individual MUFA were not responsive to dietary silage level in the SAT, whereas in the LL muscle a tendency was found for the low silage diet to promote higher percentages of these fatty acids. Both PUFA and TFA were influenced by breed and diet, but the response to breed and diet factors differed between tissues. The BCFA were the only fatty acids showing similar response to diet, given that they originate ruminal activity and suffer no further modifications until being deposited in tissues. Taken together, these results suggest a differential regulation of fatty acid metabolism between tissues, possibly resulting from the contrasting roles of intramuscular and subcutaneous fat depots. In addition, the data also indicate differences in genetic background reflected in the response to diet composition, both in the gene expression of adipogenic and lipogenic factors and fatty acid composition of tissues.
The PCA confirmed the tissues contrasting features regarding lipid metabolism and fatty acid composition, showing a clear separation between the muscle and the SAT, as was previously shown by the analysis of variance. In addition, this statistical approach showed that there is less variability in muscle fatty acid composition and gene expression when compared to the SAT, as depicted by the plot of component scores. Furthermore, the PCA indicates that the expression levels of most adipogenic and lipogenic genes, along with linoleic acid, are the variables with the most discriminant power between tissues.
The results herein presented suggest that, at 18 months old, Barrosã bulls might have more differentiated adipocytes and lipids deposited in SAT than Alentejana animals. Moreover, both lipogenesis (SCD and LPL) and β-oxidation (CRAT) related genes had higher levels of mRNA in the SAT from Barrosã animals when compared to Alentejana bulls. These data indicate a higher storage/removal ratio of TAG and a greater dynamics of lipid turnover in the SAT of Barrosã breed relative to Alentejana bulls.
The fatty acid deposition in the SAT is mainly influenced by dietary silage level, whereas the effect of breed is mostly associated with the expression level of the transcription factor SREBF1. Combined effects of breed and diet were obtained for the de novo fatty acid synthesis (ACACA) and fatty acid transport in adipocytes (FABP4) related genes, and the transcription factor PPARA mRNA levels.
In contrast to SAT, only a slight breed effect was obtained for muscle, with the expression levels of PPARG and CPT1B showing a tendency to be higher in Barrosã bulls. However, the low silage diet, relative to the high silage diet, increased the levels of FABP4 and ACACA mRNA and tended to decrease LPL expression in the muscle.
Taken together, the results herein presented show that lipid metabolism in SAT is more sensitive to breed than muscle, whereas lipid metabolism in the latter tissue appears to be mostly diet-dependent. The differential gene expression patterns in SAT and muscle are likely responsible for the fatty acid partitioning between both tissues, thus reinforcing the prevailing role of SAT over intramuscular fat in the de novo fatty acid synthesis. These findings provide evidence for breed- and tissue-specific variations in fatty acid content and composition of beef cattle, which can be explained, at least in part, by the expression of key adipogenic and lipogenic genes involved in lipid metabolism. This insight into the molecular mechanisms underlying fat deposition in bovine SAT and muscle in different breed may contribute to the development of diet-based strategies to improve competitiveness of beef industry in order to satisfy consumers’ expectations.
Animals and experimental diets
All experimental procedures involving animals were reviewed by the Ethics Commission of CIISA/FMV and approved by the Animal Care Committee of the National Veterinary Authority (Direcção-Geral de Veterinária, Lisbon, Portugal), following the appropriated European Union guidelines (Directive 86/609/EEC). This trial was conducted at the facilities of Unidade de Produção Animal, L-INIA, INRB (Fonte Boa, Vale de Santarém, Portugal), from January to November 2009. Forty young bulls from Alentejana (n = 20) and Barrosã (n = 20), were assigned to high or low forage based diets (four experimental groups of 10 animals each). One Alentejana bull from the high silage fed group was later removed from the trial due to a limp. Diets were composed of 30/70% (low silage) and 70/30% (high silage) of maize silage and concentrate, respectively. The detailed proximate and fatty acid composition of the experimental diets has been published in a previous paper . Briefly, crude fat and starch were higher in the low silage (31.7 and 376 g/kg DM, respectively) than in the high silage diet (28.7 and 285 g/kg DM, respectively). Conversely, the high silage diet had higher crude fibre and NDF contents (198 and 403 g/kg DM, respectively) in comparison to the low silage diet (150 and 321 g/kg DM, respectively). The low silage diet had lower palmitic (20.2 vs. 24.1%) and stearic acid (5.1 vs. 9.4 %) percentages than the high silage diet, while the latter showed higher proportions of 20:0 (6.5 vs. 3.7%), 18:2n-6 (43.9 vs. 40.9%) and 18:3n-3 (9.2 vs. 6.0%). Animals were housed in eight adjacent pens, two pens per breed and diet. The initial age was 331 ± 32 days for Alentejana bulls (average weight of 266 ± 45.8 kg) and 267 ± 10 days for Barrosã bulls (average weight of 213 ± 16.3 kg). All animals were slaughtered at 18 months of age, which is the commercial slaughter age for bulls in Portugal. Slaughters were performed at the INRB experimental abattoir by exsanguination, after stunning with a cartridge-fired captive bolt stunner.
Results concerning productive performance were described previously . Briefly, Alentejana bulls fed the high silage diet had an average weight of 622 ± 17.7 kg at slaughter, whereas the average weight for those fed the low silage diet was 636 ± 29.7 kg. Regarding Barrosã bulls, the weight at slaughter was 457 ± 8.88 kg for those fed the high silage diet and 497 ± 23.0 kg for bulls fed the low silage diet. Dry matter intake and average daily gain were higher in Alentejana when compared to Barrosã bulls, although feed efficiency was similar across experimental groups. Fatness scores were higher in Barrosã than in Alentejana bulls. Moreover, the low silage fed animals had higher fatness scores than those fed the high silage diet.
Immediately after slaughter, samples of longissimus lumborum muscle and SAT for gene expression analysis were collected from the right side of carcass at the 5th lumbar vertebra level, rinsed with sterile RNAse-free cold water solution, cut into small pieces (thickness of ~0.3 cm), stabilised in RNA Later solution (Qiagen, Hilden, Germany) and subsequently stored at −80°C. A second sample of SAT was vacuum-packed and stored at −20°C, until lipid extraction and determination of fatty acid composition.
Carcasses were suspended from the Achilles tendon, chilled at 10°C for 24 hours and aged during 8 days at 2°C. The left half carcass was subsequently separated into commercial joints. The LL muscle samples (ca. 200 g) were collected, trimmed of connective and adipose tissues before being blended in a food processor, vacuum packed and stored at −20°C until lipid analysis.
Total lipid content and fatty acid composition
SAT and longissimus lumborum muscle samples were lyophilised (−60°C and 2.0 hPa), maintained at −20°C (SAT) or dissecated at room temperature (muscle) and analysed within two weeks. Total lipids were extracted by the method of Folch et al., using dichloromethane and methanol (2:1 v/v) instead of chloroform and methanol (2:1 v/v), as modified by Carlson .
Fatty acids were then converted to methyl esters as described by Raes et al. , using sodium methoxide in anhydrous methanol (0.5 mol/l) for 30 min, followed by hydrochloric acid in methanol (1:1 v/v) for 10 min at 50°C. Fatty acid methyl esters (FAME) were extracted twice with 3 ml of n-hexane and pooled extracts were evaporated at 35°C, under a stream of nitrogen, until a final volume of 2 ml. The resulting FAME were then analysed by GC using a fused-silica capillary column (CP-Sil 88; 100 m × 0.25 mm i.d., 0.20 mm film thickness; Chrompack, Varian Inc., Walnut Creek, CA, USA), equipped with a flame ionisation detector, as described by Bessa et al.. The quantification of FAME used nonadecanoic acid (19:0) as the internal standard, added to lipids prior to saponification and methylation. The same FAME solution was used for the analysis of both fatty acid composition and c9,t11-CLA, enabling the direct comparison of quantitative data and eliminating differences in sample preparation. CLA isomers were individually separated by triple silver-ion columns in series (ChromSpher 5 Lipids; 250 mm × 4.6 mm i.d., 5 μm particle size; Chrompack, Bridgewater, NJ, USA), using a high performance liquid chromatography (HPLC) system (Agilent 1100 Series, Agilent Technologies Inc., Palo Alto, CA, USA) equipped with an autosampler and a diode array detector adjusted to 233 nm, according to the procedure previously reported . Fatty acid composition was expressed as g/100 g of total fatty acid content, assuming a direct relationship between peak area and fatty acid methyl ester weight.
Total RNA extraction
Frozen tissue samples were homogenized with an Ultra-Turrax® homogenizer (IKA-Labortechnik, Staufen, Germany). For SAT samples, total RNA was extracted using RNeasy Lipid Tissue Mini Kit(Qiagen Inc, Hilden, Germany) according to the manufacturer’s protocol. Total RNA was extracted from muscle samples using Trizol reagent (Invitrogen, Carlsbad, CA, USA) and purified with the RNeasy Mini Kit (Qiagen Inc), according to the manufacturer’s protocol. To exclude possible amplification of contaminating genomic DNA, an additional step of DNase digestion was performed with the RNase-free DNase Set (Qiagen Inc.), incubating samples with DNase for 15 min at room temperature. Total RNA extracts were immediately analyzed for quantity (OD260nm) and purity (OD260 nm/OD280 nm) (NanoDrop ND-2000 c, Peqlab GmbH, Erlangen, Germany). RNA aliquots were stored at −80°C and until further analysis.
Synthesis of complementary DNA
Single-stranded cDNA was synthesised using the High Capacity cDNA Reverse Transcription Kit (Applied Biosystems, Foster City, CA, USA) following the manufacturer's protocol. Each 20 μl RT reaction contained 250 ng (SAT) or 600 ng (muscle) of RNA template, 50 nM random RT Primer, 1 × RT buffer, 0.25 mM of each dNTPs, 3.33 U/μl multiscribe reverse transcriptase and 0.25 U/μl RNase inhibitor, at temperatures of 25°C for 10 min, 37°C for 120 min, and 85°C for 5 min cDNA aliquots were stored at −20°C.
Primer design and housekeeping gene stability evaluation
Primer pairs sequences for quantitative real-time PCR 1-4
Full gene name
Acc. number 1
Primer pairs (5’-3’)2
Product size (bp)
Acetyl-CoA carboxylase alpha
F: ttc acg tgg cct ggg tag a
R: ttg tac ctg gat tct cct tca tct t
Carnitine palmitoyltransferase 1B
F: gcg act cca gtg gga cat tc
R: aaa ggc agg aac tgg aag ca
F: ggc cca ccg agc cta cac
R: atg gca atg gcg tag gag gt
Fatty acid-binding protein 4
F: tgg atg ata aga tgg tgc tgg a
R: atg gag ttc gat gca aac gtc
F: act gtg gct gag agc gag aac
R: tct cca ata tcc acc tcc gtg ta
Peroxisome proliferator-activated receptor alpha
F: agt gcc ttt cag ttg gga tgt c
R: cgc ggt ttc gga atc ttc ta
Peroxisome proliferator-activated receptor gamma
F: tgt ctc ata atg cca tca ggt ttg
R: tct ccg cta aca gct tct cct t
F: cca tca acc ccc gag aga at
R: aag gtg tgg tgg tag ttg tgg aa
Sterol regulatory element binding transcription factor 1
F: agc ctg gca atg tgt gag aag
R: caa gga gca ggt cac aca gga
Peptidylprolyl isomerase B
F: tcc gtc ttc ttc ctg ctg ttg
R: cca att cgc agg tca aag tac
Ribosomal protein P0
F: gca ttc ccg ctt cct gg
R: gcg ctt gta ccc att gat ga
Real time quantitative polymerase chain reaction
The RT-qPCR was performed with the StepOne Plus™ Real-Time PCR System, using the Power SYBR® Green master mix (both Applied Biosystems, Foster City, CA, USA). Reaction mixes of 6.25 μL Power SYBR Green master mix (Applied Biosystems, Foster City, CA, USA), 1 μL of forward and reverse primers (160 nM) and 1 μL of diluted cDNA (1:10) template were pipetted into MicroAmp™ optical 96-Well reaction plates and sealed with optical caps (Applied Biosystems, Foster City, CA, USA). After an initial denaturation at 95°C for 10 min, a thermocycling program of 15 s at 95°C, 60 s at 60°C and 15 s at 95°C was applied (40 cycles). Total fluorescence data and dynamic well factors were continuously collected to generate background-subtracted amplification curves (StepOne™ Software v2.2.2, Applied Biosystems, Foster City, CA, USA). PCR analysis of cDNA samples was performed in duplicate, using no-transcription and no-template samples as controls. The specificity of the PCR amplification was confirmed by melting curve analysis and agarose gel electrophoresis of PCR products.
The PCR efficiency was calculated for each primer set using the StepOnePlus PCR System software (Applied Biosystems), by amplifying 5-fold serial dilutions of pooled cDNA and run in triplicate. The efficiency curves were used to assess accuracy, linearity and efficiency of the PCR reaction. Efficiency (E) was calculated as E [%] = (10-1/slope of standard curve - 1) × 100. All primer sets exhibited an efficiency ranged between 85 and 110% and correlation coefficients were higher than 0.990.
Statistical analyses were carried out with the Statistical Analysis Systems software package, version 9.2, (SAS Institute, Cary, NC, USA). All statistical analyses were performed based on a 2 × 2 factorial arrangement of breed (Alentejana and Barrosã purebreds), diet (high and low silage diets) and their respective interaction. The variances were tested for heteroscedasticity and, for most parameters, variance was found to be heterogeneous. Therefore, subsequent data analysis was performed in order to account for heterogeneous variance. The general Satterthwaite approximation was computed in a mixed-effects regression model (PROC MIXED), with breed, diet and their interaction as fixed effects.
The slaughter weight, total lipids content in the muscle and SAT were tested as covariates, but only total lipids was retained. Whenever the use of a covariate was necessary, the structure of the covariate model was determined according to the procedures described by Milliken & Johnson , ranging from a simple slope model to individual slopes for each diet × breed combinations. Given that significant differences in covariate ranges were intrinsically associated to each breed, each variable was adjusted and compared with the mean covariate value of each breed . When significant effects were detected, least square means (LSMEANS) were determined using the LSMEANS option, with no correction for multiple comparisons. Differences were declared significant at P < 0.05 and tendencies discussed at P < 0.10.
Pearson correlation coefficients were calculated using the CORR procedure of SAS. Whenever necessary, adjusted variables to the intramuscular fat or the amount of subcutaneous adipose tissue in the leg joint were used to compute Pearson correlations, for the muscle and SAT samples respectively.
The relationships between cellularity and fatty acid composition in both depots were assessed by the principal component analysis (PCA), using the PRINCOMP procedure of SAS. The PCA was applied to a data set of 78 samples and 17 variables to reduce the dimensionality of the data set and to describe the variability of data. The PCA was used to examine the relationship between the fatty acid composition and relative gene expression levels, enabling not only plots of the relationship between the variables but also attempting to explain those relationships. The analysis was based on the correlation matrix and the principal components which explained at least 5% for the total variance and had eigenvalues were greater than one were retained.
Acetyl-CoA carboxylase alpha
Branched chain fatty acids
Conjugated linoleic acid
Fatty acid binding protein 4
Fatty acid methyl esters
Monounsaturated fatty acids
Peroxisome proliferator-activated receptor alpha
Peroxisome proliferator-activated receptor gamma
Peptidylprolyl isomerase B
Polyunsaturated fatty acids
Ribosomal protein P0
Subcutaneous adipose tissue
Saturated fatty acids
Sterol regulatory element binding transcription factor 1
Trans fatty acids.
Financial support from Fundação para a Ciência e a Tecnologia grant (PTDC/CVT/2006/66114) and individual fellowships to A.S.H. Costa (SFRH/BD/2009/61068) and V.M.R. Pires (SFRH/BPD/2009/64347) are acknowledged. The authors would like to thank the abattoir staff for their cooperation in meat sampling, Susana Alves (L-INIA-REQUIMTE) for fatty acid analysis and Elisabete Silva for kindly providing primers for the PPIB gene.
- Hocquette JF, Chatellier V: Prospects for the European beef sector over the next 30 years. Anim Front. 2011, 25: 20-28.View ArticleGoogle Scholar
- Scollan N, Hocquette JF, Nuernberg K, Dannenberger D, Richardson I, Moloney A: Innovations in beef production systems that enhance the nutritional and health value of beef lipids and their relationship with meat quality. Meat Sci. 2006, 74: 17-33. 10.1016/j.meatsci.2006.05.002.PubMedView ArticleGoogle Scholar
- Pickworth CL, Loerch SC, Velleman SG, Pate JL, Poole DH, Fluharty FL: Adipogenic differentiation state-specific gene expression as related to bovine carcass adiposity. J Anim Sci. 2011, 89: 355-366. 10.2527/jas.2010-3229.PubMedView ArticleGoogle Scholar
- Hiller B, Hocquette JF, Cassar-Malek I, Nuernberg G, Nuernberg K: Dietary n-3 PUFA affect lipid metabolism and tissue function-related genes in bovine muscle. Br J Nutr. 2012, 108: 858-863. 10.1017/S0007114511006179.PubMedView ArticleGoogle Scholar
- Roh S, Hishikawa D, Hong Y-H, Sasaki S: Control of adipogenesis in ruminants. Anim Sci J. 2006, 77: 472-477. 10.1111/j.1740-0929.2006.00374.x.View ArticleGoogle Scholar
- Mannen H: Identification and utilization of genes associated with beef qualities. Anim Sci J. 2011, 82: 1-7. 10.1111/j.1740-0929.2010.00845.x.PubMedView ArticleGoogle Scholar
- Taniguchi M, Guan LL, Zhang B, Dodson MV, Okine E, Moore SS: Gene expression patterns of bovine perimuscular preadipocytes during adipogenesis. Biochem Bioph Res Co. 2008, 366: 346-351. 10.1016/j.bbrc.2007.11.111.View ArticleGoogle Scholar
- Fernyhough ME, Helterline DL, Vierck JL, Hausman GJ, Hill RA, Dodson MV: Dedifferentiation of mature adipocytes to form adipofibroblasts: more than just a possibility. Adipocytes. 2005, 1: 17-24.Google Scholar
- Wang YH, Byrne KA, Reverter A, Harper GS, Taniguchi M, McWilliam SM, Mannen H, Oyama K, Lehnert S: Transcriptional profiling of skeletal muscle tissue from two breeds of cattle. Mamm Genome. 2005, 16: 201-210. 10.1007/s00335-004-2419-8.PubMedView ArticleGoogle Scholar
- Zhang Q, Lee HG, Han JA, Kim EB, Kang SK, Yin J, Baik M, Shen Y, Kim SH, Seo KS, Choi YJ: Differentially expressed proteins during fat accumulation in bovine skeletal muscle. Meat Sci. 2010, 86: 814-820. 10.1016/j.meatsci.2010.07.002.PubMedView ArticleGoogle Scholar
- Lee SH, Gondro C, van der Werf J, Kim NK, Lim DJ, Park EW, Oh SJ, Gibson JP, Thompson JM: Use of a bovine genome array to identify new biological pathways for beef marbling in Hanwoo (Korean Cattle). BMC Genomics. 2010, 11: 623-10.1186/1471-2164-11-623.PubMedPubMed CentralView ArticleGoogle Scholar
- Lehnert S, Reverter A, Byrne KA, Wang Y, Nattrass GS, Hudson NJ, PL G w: Gene expression studies of developing bovine longissimus muscle from two different beef cattle breeds. BMC Dev Biol. 2007, 7: 95-10.1186/1471-213X-7-95.PubMedPubMed CentralView ArticleGoogle Scholar
- Aldai N, Najera AI, Dugan ME, Celaya R, Osoro K: Characterization of intramuscular, intermuscular and subcutaneous adipose tissues in yearling bulls of different genetic groups. Meat Sci. 2007, 76: 682-691. 10.1016/j.meatsci.2007.02.008.PubMedView ArticleGoogle Scholar
- Wood JD, Enser M, Fisher AV, Nute GR, Sheard PR, Richardson RI, Hughes SI, Whittington FM: Fat deposition, fatty acid composition and meat quality: a review. Meat Sci. 2008, 78: 343-358. 10.1016/j.meatsci.2007.07.019.PubMedView ArticleGoogle Scholar
- Widman P, Nuernberg K, Kuehn C, Weikard R: Association of an ACSL1 gene variant with polyunsaturated fatty acids in bovine skeletal muscle. BMC Genet. 2011, 12: 96.View ArticleGoogle Scholar
- Pavan E, Duckett SK: Corn oil or corn grain supplementation to steers grazing endophyte-free tall fescue. I. Effects on in vivo digestibility, performance, and carcass quality. J Anim Sci. 2008, 86: 3215-3223. 10.2527/jas.2007-0703.PubMedView ArticleGoogle Scholar
- Hoashi S, Hinenoya T, Tanaka A, Ohsaki H, Sasaki S, Taniguchi M, Oyama K, Mukai F, Mannen H: Association between fatty acid compositions and genotypes of FABP4 and LXR-alpha in Japanese Black cattle. BMC Genet. 2008, 9: 84.PubMedPubMed CentralView ArticleGoogle Scholar
- Beja-Pereira A, Alexandrino P, Bessa I, Carretero Y, Dunner S, Ferrand N, Jordana J, Laloe D, Moazami-Goudarzi K, Sanchez A, Cañon J: Genetic characterization of Southwestern European bovine breeds: a historical and biogeographical reassessment with a set of 16 microsatellites. J Hered. 2003, 94: 243-250. 10.1093/jhered/esg055.PubMedView ArticleGoogle Scholar
- Costa P, Lemos JP, Lopes PA, Alfaia CM, Costa ASH, Bessa RJB, Prates JAM: Effect of low- and high-forage diets on meat quality and fatty acid composition of Alentejana and Barrosã beef breeds. Animal. 2012, 6: 1187-1197. 10.1017/S1751731111002722.PubMedView ArticleGoogle Scholar
- Wang YH, Bower NI, Reverter A, Tan SH, De Jager N, Wang R, Macwilliam SM, Cafe LM, Greenwood PL, Lenhert SA: Gene expression patterns during intramuscular fat development in cattle. J Anim Sci. 2009, 87: 119-130.PubMedView ArticleGoogle Scholar
- Albrecht E, Gotoh T, Ebara F, Xu JX, Viergutz T, Nüernberg G, Maak S, Wegner J: Cellular conditions for intramuscular fat deposition in Japanese Black and Holstein steers. Meat Sci. 2011, 89: 13-20. 10.1016/j.meatsci.2011.03.012.PubMedView ArticleGoogle Scholar
- Taniguchi M, Mannen H, Oyama K, Shimakura Y, Oka A, Watanabe H, Kojima T, Komatsu M, Harper GS, Tsuji S: Differences in stearoyl-CoA desaturase mRNA levels between Japanese Black and Holstein cattle. Livest Prod Sci. 2004, 87: 215-220. 10.1016/j.livprodsci.2003.07.008.View ArticleGoogle Scholar
- Medina-Gomez G, Gray SL, Yetukuri L, Shimomura K, Virtue S, Campbell M, Curtis RK, Jimenez-Linan M, Blount M, Yeo GSH, Lopez M, Seppänen-Laakso T, Ashcroft FM, Orešič M, Vidal-Puig A: PPAR gamma 2 prevents lipotoxicity by controlling adipose tissue expandability and peripheral lipid metabolism. PLoS Genet. 2007, 3: e64-10.1371/journal.pgen.0030064.PubMedPubMed CentralView ArticleGoogle Scholar
- Gregoire FM, Smas CM, Sul HS: Understanding adipocyte differentiation. Physiol Rev. 1998, 78: 783-880.PubMedGoogle Scholar
- Harper GS, Pethick DW: How might marbling begin?. Aust J Exp Agr. 2004, 44: 653-662. 10.1071/EA02114.View ArticleGoogle Scholar
- Briggs MR, Yokoyama C, Wang X, Brown MS, Goldstein JL: Nuclear protein that binds sterol regulatory element of low density lipoprotein receptor promoter. I. Identification of the protein and delineation of its target nucleotide sequence. J Biol Chem. 1993, 268: 14490-14496.PubMedGoogle Scholar
- Brown MS, Goldstein JL: The SREBP pathway: regulation of cholesterol metabolism by proteolysis of a membrane-bound transcription factor. Cell. 1997, 89: 331-340. 10.1016/S0092-8674(00)80213-5.PubMedView ArticleGoogle Scholar
- Worgall TS, Sturley SL, Seo T, Osborne TF, Deckelbaum RJ: Polyunsaturated fatty acids decrease expression of promoters with sterol regulatory element-binding protein. J Biol Chem. 1998, 273: 25537-25540. 10.1074/jbc.273.40.25537.PubMedView ArticleGoogle Scholar
- Graugnard DE, Berger LL, Faulkner DB, Loor JJ: High-starch diets induce precocious adipogenic gene network up-regulation in longissimus lumborum of early-weaned Angus cattle. Brit J Nutr. 2010, 103: 953-963. 10.1017/S0007114509992789.PubMedView ArticleGoogle Scholar
- Kim JB, Wright HM, Wright M, Spiegelman BM: ADD1/SREBP1 activates PPARgamma through the production of endogenous ligand. Proc Natl Acad Sci USA. 1998, 95: 4333-4337. 10.1073/pnas.95.8.4333.PubMedPubMed CentralView ArticleGoogle Scholar
- Costa ASH, Lopes PA, Estevão M, Martins SV, Alves SP, Pissarra H, Correia JJ, Pinho M, Fontes CMGA, Prates JAM: Contrasting cellularity and fatty acid composition in fat depots from Alentejana and Barrosã bovine breeds fed high and how forage diets. Int J Biol Sci. 2012, 8: 214-227.PubMedPubMed CentralView ArticleGoogle Scholar
- Sekiya M, Yahagi N, Matsuzaka T, Takeuchi Y, Nakagawa Y, Takahashi H, Okazaki H, Iizuka Y, Ohashi K, Gotoda T, Ishibashi S, Nagai R, Yamazaki T, Kadowaki T, Yamada N, Osuga J, Shimano H: SREBP-1-independent regulation of lipogenic gene expression in adipocytes. J Lipid Res. 2007, 48: 1581-1591. 10.1194/jlr.M700033-JLR200.PubMedView ArticleGoogle Scholar
- Yang R, Castriota G, Chen Y, Cleary MA, Ellsworth K, Shin MK, Tran J-L, Vogt TF, Wu M, Xu S, Yang X, Zhang BB, Berger JP, Quresh SA: RNAi-mediated germline knockdown of FABP4 increases body weight but does not improve the deranged nutrient metabolism of diet-induced obese mice. Int J Obesity. 2011, 35: 217-225. 10.1038/ijo.2010.128.View ArticleGoogle Scholar
- Shen WJ, Bernlohr K, Sridhar DA, Bernlohr DA, Kraemer FB: Interaction of rat hormone-sensitive lipase with adipocyte lipid-binding protein. P Natl Acad Sci USA. 1999, 96: 5528-5532. 10.1073/pnas.96.10.5528.View ArticleGoogle Scholar
- Damcott CM, Moffett SP, Feingold E, Barmada MM, Marshall JA, Hamman RF, Ferrell RE: Genetic variation in fatty acid-binding protein-4 and peroxisome proliferator-activated receptor gamma interactively influence insulin sensitivity and body composition in males. Metabolism. 2004, 53: 303-309. 10.1016/j.metabol.2003.10.010.PubMedView ArticleGoogle Scholar
- Cho S, Park TS, Yoon D, Cheong HS, Namgoong S, Park BL, Lee HW, Han CS, Kim EM, Cheong I-C, Kim H, Shin HD: Identification of genetic polymorphisms in FABP3 and FABP4 and putative association with back fat depth in Wagyu × Limousin F2 crosses. Anim Genet. 2008, 37: 29-34.Google Scholar
- Jurie C, Cassar-Malek I, Bonnet M, Leroux C, Bauchart D, Boulesteix P, Pethick DW, Hocquette JF: Adipocyte fatty acid-binding protein and mitochondrial enzyme activities in muscles as relevant indicators of marbling in cattle. J Anim Sci. 2007, 85: 2660-2669. 10.2527/jas.2006-837.PubMedView ArticleGoogle Scholar
- Michal JJ, Zhang ZW, Gaskins CT, Jiang Z: The bovine fatty acid binding protein 4 gene is significantly associated with marbling and subcutaneous fat depth in Wagyu × Limousin F2 crosses. Anim Genet. 2006, 37: 400-402. 10.1111/j.1365-2052.2006.01464.x.PubMedView ArticleGoogle Scholar
- Laliotis GP, Bizelis I, Rogdakis E: Comparative approach of the de novo fatty acid synthesis (lipogenesis) between ruminant and non ruminant mammalian species: from biochemical level to the main regulatory lipogenic genes. Curr Genomics. 2010, 11: 168-183. 10.2174/138920210791110960.PubMedPubMed CentralView ArticleGoogle Scholar
- McGarry JD, Woeltje KF, Kuwajima M, Foster DW: Regulation of ketogenesis and the renaissance of carnitine palmitoyltransferase. Diabetes Metab Rev. 1989, 5: 271-284. 10.1002/dmr.5610050305.PubMedView ArticleGoogle Scholar
- Joseph SJ, Robbins KR, Pavan E, Pratt SL, Duckett SK, Rekaya R: Effect of diet supplementation on the expression of bovine genes associated with fatty acid synthesis and metabolism. Bioinform Biol Insights. 2010, 4: 19-31.PubMedPubMed CentralView ArticleGoogle Scholar
- Chilliard Y, Gagliostro G, Fléchet J, Lefaivre J, Sebastian I: Duodenal rapeseed oil infusion in early and midlactation cows. 5. Milk fatty acids and adipose tissue lipogenic activities. J Dairy Sci. 1991, 74: 1844-1854. 10.3168/jds.S0022-0302(91)78349-5.PubMedView ArticleGoogle Scholar
- Underwood KR, Tong J, Zhu MJ, Shen QW, Means WJ, Ford SP, Paisley SI, Hess BW, Du M: Relationship between kinase phosphorylation, muscle fiber typing, and glycogen accumulation in longissimus muscle of beef cattle with high and low intramuscular fat. J Agr and Food Chem. 2007, 55: 9698-9703. 10.1021/jf071573z.View ArticleGoogle Scholar
- Daniel CTR, Wynn RJ, Salter AM, Buttery PJ: Differing effects of forage and concentrate diets on the oleic acid and conjugated linoleic acid content of sheep tissues: The role of stearoyl-CoA desaturase. J Anim Sci. 2004, 82: 747-758.PubMedGoogle Scholar
- Ward RE, Woodward B, Otter N, Doran O: Relationship between the expression of key lipogenic enzymes, fatty acid composition, and intramuscular fat content of Limousin and Aberdeen Angus cattle. Livest Sci. 2010, 127: 22-29. 10.1016/j.livsci.2009.09.005.View ArticleGoogle Scholar
- Chung KY, Lunt DK, Kawachi H, Yano H, Smith SB: Lipogenesis and stearoyl-CoA desaturase gene expression and enzyme activity in adipose tissue of short- and long-fed Angus and Wagyu steers fed corn- or hay-based diets. J Anim Sci. 2007, 85: 380-387. 10.2527/jas.2006-087.PubMedView ArticleGoogle Scholar
- Dance LJE, Matthews KR, Doran O: Effect of breed on fatty acid composition and stearoyl-CoA desaturase protein expression in the Semimembranosus muscle and subcutaneous adipose tissue of cattle. Livest Sci. 2009, 125: 291-297. 10.1016/j.livsci.2009.05.009.View ArticleGoogle Scholar
- Duckett SK, Pratt SL, Pavan E: Corn oil or corn grain supplementation to steers grazing endophyte-free tall fescue. II. Effects on subcutaneous fatty acid content and lipogenic gene expression. J Anim Sci. 2009, 87: 1120-1128.PubMedView ArticleGoogle Scholar
- Bartoň L, Bureš D, Kott T, Řehák D: Effect of sex and age on bovine muscle and adipose fatty acid composition and stearoyl-CoA desaturase mRNA expression. Meat Sci. 2011, 89: 444-450. 10.1016/j.meatsci.2011.05.007.PubMedView ArticleGoogle Scholar
- Nakamura MT, Nara TY: Essential fatty acid synthesis and its regulation in mammals. Prostag Leukotr Ess. 2003, 68: 145-150. 10.1016/S0952-3278(02)00264-8.View ArticleGoogle Scholar
- Ntambi JM, Miyazaki M: Regulation of stearoyl-CoA desaturases and role in metabolism. Prog Lipid Res. 2004, 43: 91-104. 10.1016/S0163-7827(03)00039-0.PubMedView ArticleGoogle Scholar
- Barbier O, Torra IP, Duguay Y, Blanquart C, Fruchart JC, Glineur C, Staels B: Pleiotropic actions of peroxisome proliferator-activated receptors in lipid metabolism and atherosclerosis. Arterioscler Thromb Vasc Biol. 2002, 22: 717-726. 10.1161/01.ATV.0000015598.86369.04.PubMedView ArticleGoogle Scholar
- Guillou H, Martin P, Jan S, D’Andrea S, Roulet A, Catheline D, Rioux V, Pineau T, Legrand P: Comparative Effect of Fenofibrate on Hepatic Desaturases in Wild-Type and Peroxisome Proliferator-Activated Receptor α-Deficient Mice. Lipids. 2002, 37: 981-989. 10.1007/s11745-006-0990-3.PubMedView ArticleGoogle Scholar
- Jogl G, Hsiao YS, Tong L: Structure and function of carnitine acyltransferases. Ann NY Acad Sci. 2006, 1033: 17-29.View ArticleGoogle Scholar
- Calabrese V, Stella AMG, Calvani M, Butterfield DA: Acetylcarnitine and cellular stress response: roles in nutritional redox homeostasis and regulation of longevity genes. J Nutr Biochem. 2006, 17: 73-88. 10.1016/j.jnutbio.2005.03.027.PubMedView ArticleGoogle Scholar
- Smith SB, Crouse JD: Relative contributions of acetate, lactate and glucose to lipogenesis in bovine intramuscular and subcutaneous adipose tissue. J Nutr. 1984, 114: 792-800.PubMedGoogle Scholar
- Schoonmaker JP, Fluharty FL, Loerch SC: Effect of source and amount of energy and rate of growth in the growing phase on adipocyte cellularity and lipogenic enzyme activity in the intramuscular and subcutaneous fat depots of Holstein steers. J Anim Sci. 2004, 82: 137-148.PubMedGoogle Scholar
- Dodson MV, Hausman GJ, Guan LL, Min D, Rasmussen TP, Poulos SP, Mir P, Bergen WG, Fernyhough ME, McFarland DC, Rhoads RP, Soret B, Reecy JM, Velleman SG, Jiang Z: Lipid metabolism, adipocyte depot physiology and utilization of meat an- imals as experimental models for metabolic research. Int J Bio Sci. 2010, 6: 691-699.View ArticleGoogle Scholar
- Eguinoa P, Brocklehurst S, Arana A, Mendizabal JA, Vernon RG, Purroy A: Lipogenic enzyme activities in different adipose depots of Pirenaican and Holstein bulls and heifers taking into account adipocyte size. J Anim Sci. 2003, 81: 432-440.PubMedGoogle Scholar
- Martins AP, Lopes PA, Costa ASH, Martins SV, Santos NC, Prates JAM, Moura TF, Soveral G: Differential mesenteric fat deposition in bovines fed on silage or concentrate is independent of glycerol membrane permeability. Animal. 2011, 5: 1949-1956. 10.1017/S1751731111001091.PubMedView ArticleGoogle Scholar
- Costa ASH, Costa P, Bessa RJB, Lemos JPC, Simões JA, Santos-Silva J, Fontes CMGA, Prates JA: Carcass fat partitioning and meat quality of Alentejana and Barrosã young bulls fed high or low maize silage diets. Meat Sci. 2013, 93: 405-412. 10.1016/j.meatsci.2012.10.010.PubMedView ArticleGoogle Scholar
- Folch J, Lees M, Stanley GHS: A simple method for the isolation and purification of total lipides from animal tissues. J Biol Chem. 1957, 226: 497-509.PubMedGoogle Scholar
- Carlson LA: Extraction of lipids from human whole serum and lipoproteins and from rat liver tissue with methylene chloride-methanol: A comparison with extraction with chloroform-methanol. Clin Chim Acta. 1985, 149: 89-93. 10.1016/0009-8981(85)90277-3.PubMedView ArticleGoogle Scholar
- Raes K, Smet SD, Demeyer D: Effect of double-muscling in Belgian Blue young bulls on the intramuscular fatty acid composition with emphasis on conjugated linoleic acid and polyunsaturated fatty acids. Anim Sci. 2001, 73: 253-260.Google Scholar
- Bessa RJB, Alves SP, Jerónimo E, Alfaia CM, Prates JAM, Santos-Silva J: Effect of lipid supplements on ruminal biohydrogenation intermediates and muscle fatty acids in lambs. Eur J Lipid Sci Technol. 2007, 109: 868-878. 10.1002/ejlt.200600311.View ArticleGoogle Scholar
- Rego O, Rosa H, Regalo S, Alves S, Alfaia C, Prates J, Vouzela C, Bessa R: Seasonal changes of CLA isomers and other fatty acids of milk fat from grazing dairy herds in the Azores. J Agr Food Chem. 2008, 88: 1855-1859. 10.1002/jsfa.3289.View ArticleGoogle Scholar
- Vandesompele J, De Preter K, Pattyn F, Poppe B, Van Roy N, De Paepe A, Speleman F: Accurate normalization of real-time quantitative RT-PCR data by geometric averaging of multiple internal control genes. Genome Biol. 2002, 3: 7.View ArticleGoogle Scholar
- Andersen CL, Jensen JL, Orntoft TF: Normalization of real-time quantitative reverse transcription-PCR data: A model-based variance estimation approach to identify genes suited for normalization, applied to bladder and colon cancer data sets. Cancer Res. 2004, 64: 5245-5250. 10.1158/0008-5472.CAN-04-0496.PubMedView ArticleGoogle Scholar
- Costa ASH, Silva MP, Alfaia CPM, Pires VMR, Fontes CMGA, Bessa RJB, Prates JAM: Genetic Background and Diet Impact Beef Fatty Acid Composition and Stearoyl-CoA Desaturase mRNA Expression. Lipids. 2013, 48: 369-381. 10.1007/s11745-013-3776-4.PubMedView ArticleGoogle Scholar
- Livak KJ, Schmittgen TD: Analysis of relative gene expression data using real-time quantitative PCR and the 2(−Delta C(T)) Method. Methods. 2001, 25: 402-408. 10.1006/meth.2001.1262.PubMedView ArticleGoogle Scholar
- Milliken GA, Johnson DE: Analysis of Messy Data, Volume III: Analysis of Covariance. London: Chapman and Hall/CRC; 2002.Google Scholar
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