Signaling Pathways Related to Protein Synthesis and Amino Acid Concentration in Pig Skeletal Muscles Depend on the Dietary Protein Level, Genotype and Developmental Stages

Muscle growth is regulated by the homeostatic balance of the biosynthesis and degradation of muscle proteins. To elucidate the molecular interactions among diet, pig genotype, and physiological stage, we examined the effect of dietary protein concentration, pig genotype, and physiological stages on amino acid (AA) pools, protein deposition, and related signaling pathways in different types of skeletal muscles. The study used 48 Landrace pigs and 48 pure-bred Bama mini-pigs assigned to each of 2 dietary treatments: lower/GB (Chinese conventional diet)- or higher/NRC (National Research Council)-protein diet. Diets were fed from 5 weeks of age to respective market weights of each genotype. Samples of biceps femoris muscle (BFM, type I) and longissimus dorsi muscle (LDM, type II) were collected at nursery, growing, and finishing phases according to the physiological stage of each genotype, to determine the AA concentrations, mRNA levels for growth-related genes in muscles, and protein abundances of mechanistic target of rapamycin (mTOR) signaling pathway. Our data showed that the concentrations of most AAs in LDM and BFM of pigs increased (P<0.05) gradually with increasing age. Bama mini-pigs had generally higher (P<0.05) muscle concentrations of flavor-related AA, including Met, Phe, Tyr, Pro, and Ser, compared with Landrace pigs. The mRNA levels for myogenic determining factor, myogenin, myocyte-specific enhancer binding factor 2 A, and myostatin of Bama mini-pigs were higher (P<0.05) than those of Landrace pigs, while total and phosphorylated protein levels for protein kinase B, mTOR, and p70 ribosomal protein S6 kinases (p70S6K), and ratios of p-mTOR/mTOR, p-AKT/AKT, and p-p70S6K/p70S6K were lower (P<0.05). There was a significant pig genotype-dependent effect of dietary protein on the levels for mTOR and p70S6K. When compared with the higher protein-NRC diet, the lower protein-GB diet increased (P<0.05) the levels for mTOR and p70S6K in Bama mini-pigs, but repressed (P<0.05) the level for p70S6K in Landrace pigs. The higher protein-NRC diet increased ratio of p-mTOR/mTOR in Landrace pigs. These findings indicated that the dynamic consequences of AA profile and protein deposition in muscle tissues are the concerted effort of distinctive genotype, nutrient status, age, and muscle type. Our results provide valuable information for animal feeding strategy.

Pig skeletal muscle fiber type varies with anatomical location. For example, biceps femoris muscle (BFM) and longissimus dorsi muscle (LDM) mainly contain type I and type II fiber, respectively [19]. We hypothesized that the difference between these two genotypes of pigs in their muscle growth, meat quality, and intermuscular adipose deposition [10] may lead to dietary protein-dependent differences in protein deposition and related signaling pathways in different types of skeletal muscles. The main objective of the current study was to evaluate the effects of genotype, diet, and age on protein deposition, and growth of different muscle fiber types as well as the associated regulating signaling pathways.

Animals, diets, and treatments
Ninety-six barrows [48 purebred Bama mini-pigs (fatty type; average initial body weight (BW), 3.38 ± 0.96 kg), and 48 Landrace pigs (lean type; average initial BW, 7.68 ± 0.89 kg)] were fed from 5 weeks of age up to market weight. The experiment was a 2 × 2 factorial arrangement, with 2 genotypes (Bama mini-pigs vs. Landrace pigs) and 2 dietary protein levels (NRC diet vs. lower protein-Chinese conventional diet [GB]), resulting 4 different treatments ( Table 1). The piglets from each genotype were randomly assigned to one of the two dietary treatments, with 24 piglets in each treatment. The NRC diets were formulated to meet NRC [20] recommended nutrient requirements, whereas the lower protein-GB diets were formulated to meet recommendations of Chinese National Feeding Standard for Swine [21], and with a protein level of the latter being lower than the former ( Table 2). The AA compositions in each diet which were determined according to our previous method [22] are shown in Table 3. All animals were individually housed in 0.6 m × 1.2 m pens with hard plastic slatted flooring [23]. Each pen was equipped with a stainless-steel feeder and a nipple drinker [24]. The room temperature was maintained at 25-27°C [25]. All pigs had ad libitum access to drinking water, and were fed three times daily (0800, 1300, and 1800). Dietary phase was based on the physiological stage of pigs [26].
The experiment was carried out in accordance with the Chinese guidelines for animal welfare and experimental protocols, and approved by the Animal Care and Use Committee of the Institute of Subtropical Agriculture, the Chinese Academy of Sciences.

Sample collection
Body weight ranges for nursery, growing, and finishing phases were defined as 7-20, 20-50, and 50-90 kg, respectively, for Landrace pigs, and 3-15, 15-35, and 35-55 kg, respectively, for Bama mini-pigs (Table 1). At the end of each phase, 8 pigs from each treatment were randomly 1, 2, 3 Body weight ranges for nursery, growing, and finishing phases were defined as 7-20, 20-50, and 50-selected for blood collection, and euthanized [27]. Briefly, the pigs were held under general anesthesia and killed by injection of 4% sodium pentobarbital solution (40 mg/kg BW) into the jugular vein. After removing the head, legs, tail, and viscera, the carcass was split longitudinally. Samples of LDM and BFM on the right-side carcass were collected immediately, and the visible intermuscular adipose tissue was carefully removed. The samples were snap-frozen in liquid nitrogen, and stored at -80°C for further analysis [28].

Determination of AA
Approximately 0.1 g freeze-dried muscle was ground and hydrolyzed in 10 ml of 6 mol/L hydrochloric acid solution at 110°C for 24 h. The solution was diluted with water to 100 ml and 1 ml of the supernatant was used for analysis [29,30]. The samples were filtered through a 0.45-μm membrane before analysis [31] by an ion-exchange AA analyzer (L8800, Hitachi, Tokyo, Japan).

RNA extraction and cDNA synthesis
Total RNA was isolated from LDM and BFM tissues using the TRIzol reagent (Invitrogen-Life Technologies, Carlsbad, CA, USA) and treated with DNase I (Invitrogen) according to the manufacturer's instructions. The RNA quality was checked by 1% agarose gel electrophoresis, and stained with 10 μg/ml ethidium bromide [32]. The RNA was shown to have an OD260: OD280 ratio between 1.8 and 2.0. The first-strand cDNA was synthesized with Oligo (dT) 20 and Superscript II reverse-transcriptase (Invitrogen), according to the manufacturers' instructions.

Analysis of muscle growth-related gene expression
Primers for myogenic determining factor (MyoD), myogenin (MyoG), myocyte-specific enhancer binding factor 2 A (MEF2A), and myostatin (MSTN) ( Table 4) were designed using the Primer 5.0 software. Real-time reverse-transcription polymerase chain reaction (RT-PCR) was performed using the SYBR Green detection kit (TaKaRa, Japan), containing MgCl 2 , dNTP, and HotStar Taq Polymerase. An aliquot (2 μl) of a cDNA template (equal to 25 ng of total RNA) solution was added to a total volume of 10 μl containing 5 μl SYBR Green mix, 0.2 μl ROX Reference Dye (50 X), and 0.2 μl each of forward and reverse primers. After a pre-denaturation program (10 s at 95°C), 40 cycles of amplification were performed (95°C for 10 s, 60°C for 20 s), followed by a melting curve program (60-99°C with a heating rate of 0.1°C/s and fluorescence measurement), the fluorescent signal was detected by the ABI Prism 7900HT (Applied Biosystems, Marsiling Industrial Estate Road 3, Singapore). A melting curve was generated for each sample at the end of each run to ensure the purity of the amplified products. The amplification of glyceraldehyde-3-phosphate dehydrogenase (GAPDH) in each sample was used to normalize the mRNA levels for the target genes. The relative expression ratio (R) of mRNA was calculated by the following formula: where ΔΔC t (sample-control) = (C t target genes-C t GAPDH) for the sample-(C t target genes-C t GAPDH) for the control.
Real-time RT-PCR efficiencies were determined by the amplification of a dilution series of cDNA according to the equation 10 (-1/slope) , as described by Liu et al. [10], and were consistent between target genes and GAPDH. Negative controls were also used, in which cDNA solution was replaced by an equal volume of water.

Analysis of mTOR-pathway proteins
The frozen muscle samples were powdered in liquid nitrogen, and lysed in RIPA buffer (150 mM NaCl, 1% Triton X-100, 0.5% sodium deoxycholate, 0.1% SDS, and 50 mM Tris-HCl at pH 7.4), containing a protease inhibitor cocktail purchased from Roche (Shanghai, China). After centrifugation at 10, 000 ×g and 4°C for 10 min, protein concentration in the supernatant fluid was determined using the Bicinchoninic Acid assay (Beyotime Biotechnology, Haimen, China). All samples were diluted to an equal protein concentration with 2 × loading buffer (0.63 ml of 0.5 M Tris-HCl (pH 6.8), 0.42 ml 75% glycerol, 0.125 g sodium dodecyl sulfate (SDS), 0.25 ml β-mercaptoethanol, 0.2 ml 0.05% solution of bromphenol blue, and 1 ml water to a final volume of 2.5 ml), and heated in boiling water for 5 min. After cooling on ice, the samples were used for Western blot analysis.
Same amounts of sample aliquots (20 μg protein) were subjected to SDS-PAGE (4%-12% gradient gel) and were then transferred to PVDF membranes (Millipore, MA, USA) overnight at 12 V using the Bio-Rad Transblot apparatus (CA, USA). The membranes were blocked in 5% fat-free milk in Tris-Tween buffered saline (TTBS; 20 mM Tris/150 mM NaCl, pH 7.5, and 0.1% Tween-20) for 3 h and then incubated with the primary antibodies (Table 5) at 4°C overnight with gentle rocking. After washing three times with TTBS, the membranes were incubated at room temperature for 2 h with horseradish peroxidase-linked secondary antibodies (Santa Cruz, CA, USA). The dilution of secondary antibodies was 1:5, 000. Finally, the membranes were washed with TTBS, followed by development using Super-signal West Dura Extended Duration Substrate according to the manufacturer's instructions (Pierce, Rockford, IL). The images were detected on chemiluminescence (Applygen Technologies Inc., Beijing, China). Multiple exposures of each Western blot were performed to ensure linearity of chemiluminescence signals. Western blots were quantified by measuring the intensity of bands with correct molecular weight using AlphaImager 2200 software (Alpha Innotech Corporation, CA, USA). The ratio of intensities of a target protein band and housekeeping protein band was calculated for each filter and the ratios from the different Western blot filters were used for analyzing the relative abundances of target proteins.

Statistical analysis
Data were analyzed by multifactor ANOVA using the GLM procedure of SAS 9.1 (SAS Institute Inc., Cary, NC) and means were separated using Tukey's method. The effects of pig genotype, diet, physiological stage, and their interactions were taken into consideration. Differences between means were considered as statistically significant at P<0.05 and a trend toward significance at P<0.10.

Muscle AA concentration
Muscle AA concentrations are shown in Tables 6 and 7. In general, the concentrations of most AA, total AA (TAA), essential AA (EAA), and flavor AA (FAA) in LDM and BFM increased in an age-dependent manner, regardless of pig genotype and dietary protein level. Pig genotype affected most indices of AA pool of different muscle tissues throughout the trial. Diet had significant effects on several AA.
As shown in Table 6, the concentrations of most AA (except of Asp and Tyr) in the LDM of both genotypes of pigs increased (P<0.05) with age. The concentrations of nonessential AA (NEAA) decreased (P<0.05) in growing phase but increased (P<0.05) in finishing phase. Ratios of EAA/TAA and EAA/NEAA increased (P<0.05) in growing phase but decreased (P<0.05) in finishing phase. The AA of LDM in Landrace pigs and Bama mini-pigs differed (P<0.05), including Asp, Ser, Met, Ile, Tyr, Phe, Pro, TAA, NEAA, and ratios of EAA/TAA and EAA/NEAA. Bama mini-pigs had higher (P<0.05) concentrations of Ser, Met, Ile, Tyr, Phe, and Pro during nursery phase, higher (P<0.05) concentrations of Ser, Met, Tyr, and Pro during growing phase, and higher (P<0.05) concentrations of Ile, Phe, and Pro during finishing phase; while lower (P<0.05) concentration of Asp was recorded during growing and finishing phases, when compared with Landrace pigs. Furthermore, the concentration of Asp in Bama mini-pigs fed the GB diet was higher (P<0.05) than those fed NRC diet, especially in growing and finishing phases. There were interactions between developmental phases and genotypes notably for Asp, Ser, Met, Ile, Leu, and Tyr. No interaction between developmental phases and diets was observed for any AA. An interaction between genotype and diet was evidenced for concentrations of Phe, TAA, NEAA, and FAA. In addition, according to the pig   (Table 7). There were marked differences in the concentrations of almost all AA between Landrace pigs and Bama mini-pigs, except for Asp, Glu Val, and Ile. When compared with Landrace pigs, Bama mini-pigs had higher concentrations of Thr, Ser, Gly, Ala, Leu, Phe, Lys, His, and Arg throughout the experimental period, as well as Met, Tyr, and Pro in the nursery phase, while lower concentrations of Met and Pro were measured in the finishing phase. Diet did not affect AA pool but there was interaction between pig genotype and developmental age on concentrations of Ser, Gly, Met, Tyr, Pro, TAA, NEAA, and ratios of EAA/TAA and EAA/NEAA. Interactions between the developmental phases and the diets were noted notably for Asp, Thr, Ser, Glu, Gly, and Ala. Interactions between genotypes and diets for Asp, Ala, Tyr, His, EAA/ TAA and EAA/NEAA ratios, as well as an interaction between the developmental phases, genotypes, and diets was measured for the Ala concentration.

Muscle growth-related genes expression
The mRNA levels for MyoD, MyoG, and MEF2A in LDM, and MEF2A in BFM increased (P<0.05) along the pig growth ( Table 8). The mRNA levels for MyoD, MyoG, and MEF2A in LDM of Bama mini-pigs were much higher (P<0.05) than those in Landrace pigs. In addition, pigs fed the higher protein-NRC diet had higher (P<0.05) mRNA level for MyoG in BFM than Table 8. Effects of genotype, diet, and phase on expression of muscle growth-related genes in muscle tissues of pigs (n = 8).

Nursery
Growing Finishing P-value

Item Landrace
Bama mini-pig Landrace Bama mini-pig Landrace Bama mini-pig P P P G P P*G P D P P*D P G*D P P*G*D

Abundance of mTOR pathway proteins
As shown in Fig 1 and Table 9, the protein abundances of mTOR, p-mTOR, protein kinase B (AKT), and p-AKT in the LDM decreased (P<0.05) in the growing phase and then increased in finishing phase. The protein abundances of 4EBP1 and p-4EBP1 decreased, while ratio of p-mTOR/mTOR increased (P<0.05) gradually along the pig development. In addition, according to the pig genotypes, different responses were observed regarding the abundances of the mTOR pathway proteins. The protein abundances of mTOR and p-mTOR in Landrace pigs were greater (P<0.05) than those of Bama mini-pigs, especially in the nursery and growing phases. The protein abundance of p-AKT in the nursery phase of Landrace pigs was greater (P<0.05) than that of Bama mini-pigs, while that of p70S6K in the finishing phase was lower (P<0.05). The ratios of p-mTOR/mTOR and p-AKT/AKT in nursery and finishing phases of Landrace pigs were greater than Bama mini-pigs, as well as p-p70S6K/p70S6K in growing and finishing phases. The lower protein-GB diet increased protein abundances of mTOR and p-mTOR throughout the whole trial, and of AKT in the nursery phase, when compared with the higher-NRC diet. The protein abundance of p70S6K in Landrace pigs fed the greater protein-NRC diet was higher (P<0.05) than in those fed the lower protein-GB diet. In contrast, the protein abundance of p70S6K in Bama mini-pigs fed the GB diet was higher (P<0.05) than those fed the NRC diet.
In the BFM, protein abundances of mTOR, p-mTOR, AKT, p-AKT, 4EBP1, p70S6K, and p-p70S6K decreased (P<0.05) with increasing age (Fig 2 and Table 10). The protein abundance of p-4EBP1, ratios of p-4EBP1/4EBP1 and p-p70S6K/p70S6K decreased in the growing phase, and increased in the finishing phase. Ratios of p-mTOR/mTOR and p-AKT/AKT increased in growing phase, and decreased in finishing phase (P<0.05). The protein abundances of AKT in the nursery and growing phases, and p-AKT in growing phase, were higher in Landrace than in Bama mini-pigs (P<0.05), while that of AKT and p-4EBP1 were lower in Landrace than in Bama mini-pigs (P<0.05) in the finishing phase. Ratios of p-mTOR/mTOR, p-AKT/AKT, and p-p70S6K/p70S6K of Landrace pigs were greater than those of Bama mini-pigs in the growing and finishing phases. The lower protein-GB diet increased (P<0.05) the protein abundance of mTOR in Bama mini-pigs, notably in the nursery and growing phases. The greater protein-NRC diet increased (P<0.05) the ratio of p-mTOR/mTOR of Landrace pigs, when compared with the GB diet.

Discussion
Due to its large mass (representing 40-45% of body weight), skeletal muscle is the largest reservoir of both peptide-bound and free AA in the body [33]. Based on growth test or nitrogen balance assay, AA have been traditionally classified as nutritionally essential (indispensable) or non-essential (dispensable) for animals [1]. Animals have dietary requirements for both EAA (Met, Lys, Try, Thr, Phe, Ile, Val, Leu, and His) and NEAA to achieve maximum growth and production performance [34,35]. Some amino acids like arginine are considered to be semiessential as they have to be provided in the diet to achieve optimal performance in the growth phase. According to the ideal model of FAO/WHO, a good balance of AA has to be provided for growing animals. Ratios of W EAA /W TAA in the present study were all above 40%, and ratios of W EAA /W NEAA were more than 60%. Furthermore, pig muscle AA concentrations in the present study were increased gradually with increasing age, suggesting, as expected an enhanced deposition of muscle protein along the pig development.  Table 9. P-values of ratios of phosphorylated-to total-protein abundance of mTOR pathway in longissimus dorsi muscle of pigs.

Item
P P P G P P*G P D P P*D P G*D P P*G*D Meat flavor mainly depends on two aspects: taste and aroma [36,37]. The taste comes from flavor substances such as AA and small peptides, and aroma mainly derives from volatile substances released during meat cooking. Each AA contributes, to different degrees, to the taste of meat [38]. The active compounds in meat not only benefit the tastes as themselves, but also further react with each other, generating some aroma components through several pathways, such as the Maillard reaction [39]. The Maillard reaction between sulfur AA and reducing sugar can produce a meaty aroma [40]. An important observation in the present study is that Bama mini-pigs had higher muscle concentrations of Met, Phe, Tyr, Pro, and Ser in the nursery phase, and of Gly, Ala, and Ser in the growing phase than those of Landrace pigs. According to the above-mentioned rationale, the muscles of Bama mini-pigs can generate more taste-active compounds during the cooking process; a fact that is likely related to its quality in terms of organoleptic characteristics. Dietary protein had minimal effect on muscle AA concentration in the current study. However, as the age increased, the AA pool was gradually regulated not only according to the dietary protein intake, but also according to the muscle type. In the LDM (type II fiber), pig genotype interacted markedly in the finishing phase with dietary protein intake regarding TAA, NEAA, and FAA. In addition, concentrations of the above-mentioned AA in Landrace pigs fed the higher protein-NRC diet were higher than those fed the GB diet. Concentrations of the above-mentioned AA in Bama mini-pigs fed the lower protein-GB diet were higher than those fed the NRC diet. In the BFM (type II fiber), pig genotype remarkably affected the AA pools in the nursery phase; whereas in the finishing phase, diet had a greater effect on most AA measured. Overall, the NRC diet increased concentrations of most AA more than the GB diet. On the other hand, our data suggest that the AA released from protein was highly muscledependent. The muscle enzymes, including calpains and cathepsins, are able to degrade myofibrillar proteins and release small peptides and AA. The different enzyme activities are responsible for the differences in the release of AA among the examined muscles [41]. The AA profiles in the present study may be related, at least in part, to the differences in muscle enzyme activity between LDM and BFM, but further experiments outside the scope of this study are required to test this hypothesis.
Skeletal muscle cells were the first cell type shown to arise through the activity of a single DNA binding transcription factor. This factor, named myogenic determining factor (MyoD), represented a paradigm for cell specification [42,43], and its discovery triggered an increasing interest for the identification of acting transcription factors such as myogenic regulatory factors (MRFs) [44], myocyte-specific enhancer binding factor 2 (MEF2) [45,46], and transforming growth factor beta (TGF-β) [47,48]. Previous studies have indicated that MRFs, including MyoD, MyoG, myogenic factor 5 (Myf5), and myogenic factor 6 (Myf6), function in processing myogenesis, and their expression has been used as an indicator of muscle development [49] and meat quality [50]. In each stage of myogenesis, different MRFs show various functions. In our study, expressions of MyoD, MyoG, and MEF2A in LDM, and MEF2A in BFM increased as the age increased, in association with enhanced muscle growth. In addition, the regulatory effect of MRF on the generation of skeletal muscle also depends on the interaction between cells and other related factors, such as MEF2 family factor interactions [51]. This factor is also involved in the regulation of skeletal muscle growth, by controlling the muscle cell differentiation and proliferation [52]. In the present study, the mRNA levels for MyoD, MyoG, and MEF2A in LDM of Bama mini-pigs were higher than in Landrace pigs, in accordance with the Table 10. P-values of ratios of phosphorylated-to total-protein abundance of mTOR pathway in biceps femoris muscle of pigs.

Item
P P P G P P*G P D P P*D P G*D P P*G*D previous study by Wang et al. [53]. These latter authors reported that the expression levels of MyoD and MyoG in the Lantang pigs, another indigenous Chinese pig genotype, were higher than in Landrace pigs. Interestingly, the mRNA levels for MSTN in LDM and BFM of Bama mini-pigs were higher than in Landrace pigs. MSTN, belonging to the superfamily of TGF-β, is a glycoprotein widely expressed with functional specificity in skeletal muscle [54]. Indeed, high expression of MSTN in transgenic animal resulted in muscle atrophy [55], and the mutation of MSTN in cattle caused the so-called "double" muscle phenotype [56,57]. Early studies suggested that MEF2 may regulate the muscle fiber type conversion by combining with related sites of MSTN promoter [58]. Based on this notion, although Bama mini-pigs had increased mRNA levels for MyoD, MyoG, and MEF2A, the MSTN expression was however higher than in Landrace pigs. This may explain differences in the muscle growth between Landrace and Bama mini-pigs. The phosphorylation of p70S6K and 4EBP1 by mTOR and the phosphorylation downstream of ribosomal protein S6 and EIF-4B stimulate translational initiation and contribute to cell growth. Protein deposition is linked with animal growth periods. In the present study, the expression levels of most proteins of the mTOR signaling pathway decreased with increasing age, including 4EBP1 and p-4EBP1 in LDM, and AKT, p-AKT, mTOR, p-mTOR, 4EBP1, p70S6K, p-p70S6K, and ratios of p-mTOR/mTOR and p-AKT/AKT in BFM of pigs, regardless of pig genotype or dietary protein level. Our data are consistent with a previous study by Kimball et al. (2002) which reported that the fractional rate of protein synthesis in pig skeletal muscle is high at birth and declines with age; meanwhile, the muscle abundance of mTOR decreased by 75% in 26-vs. 7-d-old pigs [59].
Using various technologies of two-dimensional electrophoresis, proteomic and transcriptomic analysis, researchers found that the skeletal muscle protein expression profiles were greatly different among pig genotypes [60][61][62]. In this study, pig genotype had a significant effect on the skeletal muscle protein expression profiles. The protein abundances of p-AKT, mTOR, p-mTOR, and p70S6K, and ratios of p-mTOR/mTOR, p-AKT/AKT, and p-p70S6K/ p70S6K in LDM, and of AKT and p-AKT in BFM were higher in Landrace pigs than in Bama mini-pigs. These results indicate that genotype differences in growth performance and meat quality might be related to various expression levels of protein deposition-and muscle growthrelated proteins.
Nutrient-mediated increases in muscle protein synthesis preserve the net muscle protein equilibrium (fasted losses vs. fed gains), which ensures a constant muscle mass at a given developmental stage. Nutritional factors, such as Gln [63,64], glutamate [65], putrescine [66], and amino acid mixture [67], have direct and/or indirect effects on the mTOR pathway or on the effectors of the mTOR pathway. S6K1 and 4EBP1, two downstream target proteins of mTOR pathway [68], are involved in the regulation of synthesis and metabolism, including synthesis of protein and ribosome, and biosynthesis and catabolism of mitochondria [69]. A previous study found that AA starvation could lead to dephosphorylation of S6K1 and 4EBP1 in cultured mammalian cells [70]. In skeletal muscle, physiological levels of AA stimulate the phosphorylation of mTOR, which, in turn, enhances the phosphorylation of S6K1 and 4EBP1, and leads to an increased synthesis of proteins. Interestingly, the dietary protein level in this study had a significant effect on the mTOR signaling pathway with interaction according to the pig genotype studied. The protein abundances of mTOR and p70S6K in Bama mini-pigs fed the lower protein-GB diet were higher than those fed the NRC diet. In contrast, the protein abundance of p70S6K and ratio of p-mTOR/mTOR in Landrace pigs fed the higher protein-NRC diet were higher than those fed the GB diet. These results suggest that high protein intake may not always be positively related to the rate of muscle protein synthesis and increase in the skeletal muscle mass, challenging the results of several previous studies [71,72]. In Bama mini-pigs, the low-protein diet enhanced the protein translation, which was beneficial regarding the AA pool and protein synthesis. These findings suggest that the utilization of nutrients in Landrace pigs and Bama mini-pigs are different.
In conclusion, our study indicates interactions between genotype and age for most AA regarding their concentration in skeletal muscles and protein synthesis-related signaling pathways. The concentrations of several AA related to taste and aroma at the early stage in Bama mini-pigs, and mRNA levels for MyoD, MyoG, MEF2A, and MSTN were higher than in Landrace pigs, while protein and phosphorylated levels of AKT, mTOR and p70S6K, and ratios of p-mTOR/mTOR, p-AKT/AKT, and p-p70S6K/p70S6K were lower. In addition, the lower protein-GB diet increased the protein abundances of mTOR and p70S6K in Bama mini-pigs, but decreased the protein abundance of p70S6K in Landrace pigs. The higher protein-NRC diet increased ratio of p-mTOR/mTOR in Landrace pigs. These findings suggest that variations in AA deposition and protein synthesis are greatly regulated by dietary protein level, being different according to pig genotype, developmental stage, and muscle type. Our study not only provides an important basis for further studies aiming at deciphering the molecular mechanisms responsible for differences in growth rate and meat quality between different pig genotypes, but also contributes to the optimization of animal feeding.

Author Contributions
Conceived and designed the experiments: XK YY. Analyzed the data: YD. Contributed reagents/materials/analysis tools: BT CH. Wrote the paper: FL FB. Ran the whole feed animal trials: YYL YHL.