Skip to main content
Frontiers in Veterinary Science logoLink to Frontiers in Veterinary Science
. 2022 Jul 5;9:779745. doi: 10.3389/fvets.2022.779745

Probiotics and Synbiotics Addition to Bama Mini-Pigs' Diet Improve Carcass Traits and Meat Quality by Altering Plasma Metabolites and Related Gene Expression of Offspring

Qian Zhu 1,2, Mingtong Song 1, Md Abul Kalam Azad 1, Cui Ma 1,2, Yulong Yin 1,2,*, Xiangfeng Kong 1,2,3,*
PMCID: PMC9301501  PMID: 35873696

Abstract

This study evaluated the effects of maternal probiotics and synbiotics addition on several traits and parameters in offspring. A total of 64 Bama mini pigs were randomly allocated into the control (basal diet), antibiotic (50 g/t virginiamycin), probiotics (200 mL/day probiotics), or synbiotics (500 g/t xylo-oligosaccharides and 200 mL/day probiotics) group and fed with experimental diets during pregnancy and lactation. After weaning, two piglets per litter and eight piglets per group were selected and fed with a basal diet. Eight pigs per group were selected for analysis at 65, 95, and 125 days of age. The results showed that the addition of probiotics increased the average daily feed intake of the pigs during the 66- to 95-day-old periods and backfat thickness at 65 and 125 days of age, and that the addition of synbiotics increased backfat thickness and decreased muscle percentage and loin-eye area at 125 days of age. The addition of maternal probiotics increased the cooking yield and pH45min value at 65 and 95 days of age, respectively, the addition of synbiotics increased the meat color at 95 days of age, and the addition of probiotics and synbiotics decreased drip loss and shear force in 65- and 125-day-old pigs, respectively. However, maternal antibiotic addition increased shear force in 125-day-old pigs. Dietary probiotics and synbiotics addition in sows' diets increased several amino acids (AAs), including total AAs, histidine, methionine, asparagine, arginine, and leucine, and decreased glycine, proline, isoleucine, α-aminoadipic acid, α-amino-n-butyric acid, β-alanine, and γ-amino-n-butyric acid in the plasma and longissimus thoracis (LT) muscle of offspring at different stages. In the LT muscle fatty acid (FA) analysis, saturated FA (including C16:0, C17:0, and C20:0) and C18:1n9t contents were lower, and C18:2n6c, C16:1, C20:1, and unsaturated FA contents were higher in the probiotics group. C10:0, C12:0, and C14:0 contents were higher in 65-day-old pigs, and C20:1 and C18:1n9t contents were lower in the synbiotics group in 95- and 125-day-old pigs, respectively. The plasma biochemical analysis revealed that the addition of maternal probiotics and synbiotics decreased plasma cholinesterase, urea nitrogen, and glucose levels in 95-day-old pigs, and that the addition of synbiotics increased plasma high-density lipoprotein cholesterol, low-density lipoprotein cholesterol, and total cholesterol concentrations in 65-day-old pigs and triglyceride concentration in 125-day-old pigs. The addition of maternal probiotics and synbiotics regulated muscle fiber type, myogenic regulation, and lipid metabolism-related gene expression of LT muscle in offspring. In conclusion, the addition of maternal probiotics and synbiotics improved the piglet feed intake and altered the meat quality parameters, plasma metabolites, and gene expression related to meat quality.

Keywords: Bama mini-pigs, carcass traits, growth performance, meat quality, plasma metabolites, probiotics, synbiotics

Introduction

Microbes colonizing the gut possess strong metabolic activity and play critical roles in regulating growth and development, nutrient metabolism, immune responses, and host health status (1). Previous studies have shown that the gut microbiota can affect muscle growth and fiber type transformation (2), thus influencing carcass traits and meat quality through multiple metabolic pathways. For example, dietary Lactobacillus plantarum supplementation can increase muscle mass in mice (3), whereas synbiotics supplementation in late-finishing pigs can enhance muscle antioxidant capacity and improve meat quality (4). Furthermore, dietary supplementation with the EM®Bokashi probiotic preparations containing specific Lactobacillus species and yeasts improved the slaughter value, macroelement (Mg, Ca, and Na) content, and chromatic color traits (b* and C*) of meat (5). Multi-species probiotics supplementation also has beneficial effects on sensory evaluation, cooking yield, and drip loss of meat (6). Increasing evidence shows that maternal probiotics supplementation has beneficial effects on the growth and development of newborn piglets. For example, dietary Bacillus supplementation during late gestation and lactation has beneficial effects on body weight gain and intestinal microbiota modulation in piglets (7). In addition, dietary xylo-oligosaccharide (XOS) intervention may alter the proliferation of Lactobacillus, Streptococcus, and Turicibacterspecies, thus improving the growth performance of weaned piglets by regulating intestinal health (8). However, the mechanism by which the maternal gut microbiota regulates the growth performance and meat quality of offspring remains unknown.

Maternal health and nutritional status during gestation and lactation play a vital role in the meat quality of offspring. Several studies have demonstrated that maternal supplementation with functional additives during gestation and lactation can affect meat color, muscle tenderness, intramuscular fat (IMF), water-holding capacity, muscle fiber type, and muscle metabolism in offspring (9, 10). Furthermore, the fetal and neonatal periods are the most critical periods for skeletal muscle development (11). The development of postnatal muscle fibers also depends on the composition and types of fetal and neonatal muscle fibers (12). Therefore, maternal intervention during pregnancy and lactation is an effective strategy to improve the growth and development of skeletal muscle and meat quality of offspring.

Previous studies have demonstrated that supplementing Bacillus altitudinis during late gestation and lactation improves the feed efficiency of progeny in the early post-weaning period and increases the live weight at the end of the finishing period (13). In addition, dietary inclusion of Saccharomyces cerevisiae fermentation products from nursery to slaughter improved the marbling score of pork (14). Moreover, our previous studies showed that maternal addition of synbiotics (including L. plantarum, S. cerevisiae, and XOS) during pregnancy and lactation improved survival rate, nutrient metabolism, and intestinal barrier permeability, reduced oxidative stress, and modified colonic microbiota composition and metabolic activity in suckling piglets (15, 16). Bama mini-pigs, one of the most well-known native mini-pigs in China, have superior meat quality but slower muscle growth than commercial pigs (17). For local mini-pig breeds, different processing methods have different slaughter weight requirements. As reported by Cai et al. (18), 7.5–10-kg mini-pigs are generally used for roasting pork, whereas pigs with heavier body weights are used for processing bacons. Therefore, the present study used Bama mini-pig as a model to explore the effects of maternal addition of an antibiotic (inhibiting the gut microbiota), probiotics (increasing the beneficial gut microbiota), and synbiotics (increasing the beneficial gut microbiota and their fermenting substrate) during pregnancy and lactation on growth performance, carcass traits, meat quality, plasma metabolites, and related gene expression in offspring of different ages.

Materials and Methods

Animals, Diets, and Treatments

This study was conducted at the mini-pig experimental base in Goat Chong, Shimen town, Changde city, Hunan province, China. A total of 64 pregnant Bama mini-pigs with parities of 3–5 and initial body weight (BW) of 92.6 ± 11.76 kg were selected and randomly allocated into four groups (16 sows (pens) per group). The dietary treatment groups included the control (fed with an antibiotic-free basal diet), antibiotic (50 g/t virginiamycin with the basal diet), probiotics (200 mL/day probiotics mixture per animal with the basal diet), and synbiotics (500 g XOS per ton diet + 200 mL/day probiotics mixture per animal with the basal diet) groups. The probiotics mixture was provided by Hunan Lifeng Biotechnology Co., Ltd. (Changsha, Hunan, China) and contained L. plantarum ≥ 1 × 108 CFU/mL and S. cerevisiae ≥0.2 × 108 CFU/mL. XOS containing ≥ 35% xylobiose, xylotriose, and xylotetraose was provided by Shandong Longlive Biotechnology Co., Ltd. (Shandong, China). The supplemented probiotics mixture was mixed with the feed before feeding the sows, and XOS was added during feed production. The doses of probiotics and synbiotics were recommended by the manufacturers.

The sows were housed individually in gestation crates (2.2 m ×0.6 m) from days 1 to 105 of pregnancy, transferred to farrowing crates (2.2 m × 1.8 m) on day 106 of pregnancy, and remained there until piglets' weaning. The sows were fed with 0.8, 1, 1.2, 1.5, and 2 kg of pregnancy feed mix from days 1 to 5, 16–30, 31–75, 76–90, and 91–105 of pregnancy, respectively; they were fed with 1 kg of this feed mix a week before parturition and ad libitum after 3 days of parturition; then, they were fed with 2.4 kg of a lactation feed mix until weaning. The sows were fed twice daily at 8:00 am and 5:00 pm, and water was freely available at all times. Creep feed was provided to suckling piglets from 7 to 28 days of age. After weaning at 28 days of age, one male and one female piglet, close to the average BW per litter, were selected and transferred to the nursery house for the subsequent feeding trial. After 1 week of adaptation, four piglets from two litters in the same group were merged into one pen. There were eight pens (replicates) and 32 piglets per group. A total of 128 piglets were fed with the basal diet during the remaining days of the trial. The basal diet composition and nutrient levels of the sows and piglets are presented in Supplementary Tables 1, 2. Feeding and management were performed according to the standard operations of commercial pig farms.

Determination of Growth Performance

The feed intake of the offspring per pen was recorded daily. The BW of 65-, 95-, and 125-day-old pigs was measured. Average daily gain (ADG), average daily feed intake (ADFI), and feed/gain (F/G) ratio were calculated for days 35–65, 66–95, and 96–125, respectively.

Sample Collection

At 65, 95, and 125 days of age, the offspring from each group were fasted for 12 h and weighed, and then one pig per pen (eight pigs per group) was selected and euthanized under commercial conditions by electrical stunning (120 V, 200 Hz) and exsanguination. Blood samples were collected via the precaval vein in 10 mL heparinized tubes, centrifuged at 4°C and 3,500 × g for 10 min to obtain plasma, and immediately stored at −20°C for further analysis. After removing the head, legs, tail, and viscera, carcasses were split longitudinally to evaluate carcass traits and meat quality. Longissimus thoracis (LT) muscle samples were then collected and stored in sealed plastic bags at −20°C to analyze routine nutrients. LT muscle samples (~2 g) were also collected for mRNA analyses and were immediately frozen in liquid nitrogen and stored at −80°C.

Measurement of Carcass Traits

According to Chinese pig raising industry standards (GB8467-87, 1988), the left side of each carcass was dissected into the skin, skeletal muscle, bone, and fat. The skeletal muscle, bone, fat, and leaf fat were weighed to calculate the percentage of live BW [tissue weight × 2 (kg)/BW (kg) × 100%] or the ratio to live BW [leaf fat weight × 2 (g)/BW (kg)]. Backfat thickness (between the sixth and seventh ribs) was measured using a Vernier caliper. The width and height of the LT muscle cross-section were measured using a Vernier caliper to calculate the loin-eye muscle area (width × height ×0.7).

Assessment of Meat Quality

The subjective marbling and meat color scores of the LT muscle were determined following the National Pork Producers Council (NPPC) guidelines (19). Meat color, including a* (redness), b* (yellowness), and L* (lightness) values of the LT muscle, was measured using a colorimeter (CR410; Konica Minolta Sensing, Inc., Tokyo, Japan) at 45 min post-mortem. The pH values at 45 min (pH45min) and 24 h (pH24h) post-mortem were measured using a portable pH meter (Russell CD700; Russell pH Limited, Germany). Drip loss was determined using the “bag method” as previously described by Honikel (20). The LT muscle samples stored at 4°C were placed in individual polyethylene vacuum bags and cooked for 30 min, and an internal temperature of 70°C was detected with a thermocouple thermometer (Digital Thermometer TP101; Changzhou KB Instruments & Meter Co., Ltd., Changzhou, China) in a water bath at 75°C for 24 h post-mortem (21). The cooked samples were cooled to room temperature, dried with a paper towel, and re-weighed to calculate the cooking yield [(cooked weight/fresh weight) × 100%]. After the cooking yield was determined, the samples were trimmed parallel to the muscle fiber into strips with a diameter of 12.7 mm and a length of 20 mm. The stripes were then used to determine shear force (N) using a texture analyzer (FTC-TMS/PRO; FTC Corporation, Virginia, United States) with a load cell of 15 kg and a crosshead speed of 200 mm/min.

Chemical Composition Analysis of LT Muscle

The LT muscle samples were minced after weighing and dried in a vacuum-freeze dryer at 20 ± 5 Pa and −45 ± 5°C for 72 h (CHRIST RVC2-25 CDPIUS; Christ Company, Oster ode, Germany) to calculate dry matter (DM) content. Crude protein (CP) content (N × 6.25) was determined using the Kjeldahl method and following the standards provided by the Association of Official Analytical Chemists (AOAC) (22). IMF content was determined using the Soxhlet extraction method (23).

Approximately 0.1 g of freeze-dried skeletal muscle powder was hydrolyzed in 10 mL of a 6 mol/L HCl solution in a sealed ampoule bottle at 110°C for 24 h. The suspension was diluted to 100 mL using double-distilled water in a volumetric flask (24), and 1 mL of the supernatant was transferred to 1.5 mL centrifuge tubes and evaporated to dryness in a water bath at 65°C. The samples were then dissolved using 1 mL of 0.02 mol/L HCl solution and filtered through a 0.45-μm membrane prior to analysis of hydrolyzed amino acid (AA) content using an automatic amino acid analyzer (L-8900; Hitachi, Tokyo, Japan) (25).

Medium- and long-chain fatty acids (FAs) were identified by gas-liquid chromatography (7890A; Agilent, CA, United States). Briefly, the FAs were analyzed using an FID detector after extraction with a mixture of benzene and petroleum ether and by methyl esterification using potassium hydroxide methanol. The sample pretreatment method used was performed as described previously by Liu et al. (26). The GC conditions were as follows: the injector and detector temperatures were at 280°C; the initial column temperature was at 100°C for 13 min, increased at 10°C/min to 180°C, for 6 min, increased at 1°C/min to 200°C, for 20 min, then increased at 4°C/min to 230°C, for 15 min. Nitrogen was used as a carrier gas at a flow rate of 0.8 mL/min. The inlet temperature was 270°C, injection volume was 1 μL, and split ratio was 20:1. FA content was determined by comparison with retention times of the reference standard mixtures (99%, Sigma, St. Louis, MO, United States). Data were expressed as a percentage of total FAs.

Muscular RNA Extraction and Gene Expression Analysis

The total RNA of the LT muscle was extracted using the AG RNAex Pro reagent (Accurate Biology, Hunan, China) according to the manufacturer's protocol. The concentration of the extracted RNA was measured using a NanoDrop ND-2000 spectrophotometer (Thermo Fisher Scientific, Waltham, MA, United States), and purity was determined using the A260/A280 ratio. RNA quality was evaluated by agarose gel electrophoresis. The total RNA (1,000 ng) was reverse-transcribed into cDNA using the Evo M-MLV RT Kit with gDNA clean for quantitative PCR analysis (Accurate Biology). An RT-PCR analysis was performed on the LightCycler® 480II Real-Time PCR System (Roche, Basel, Switzerland) with SYBR® Green Premix Pro Taq HS qPCR Kit (Accurate Biology). Specific primers for the target genes were designed and synthesized by Sangon Biotech Co., Ltd. (Shanghai, China) (Supplementary Table 3). RT-qPCR was performed in a 10-μL reaction system, including 0.25 μL of each primer, 5 μL SYBR® Green Premix, 2 μL cDNA, and 2.5 μL double-distilled water. The PCR cycling conditions were as per the instructions for the SYBR Green Premix. Relative gene expression levels between the different groups were calculated using the 2−ΔΔCt method (27).

Determination of Plasma Biochemical Parameters

The plasma levels of alanine aminotransferase (ALT), alkaline phosphatase (ALP), α-amylase (α-AMS), aspartate aminotransferase (AST), cholinesterase (CHE), lactate dehydrogenase (LDH), albumin (ALB), ammonia (AMM), total protein (TP), urea nitrogen (UN), high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), total cholesterol (TC), triglyceride (TG), and glucose (GLU) were determined using commercially available kits (F. Hoffmann-La Roche Ltd., Basel, Switzerland) and a Roche automatic biochemical analyzer (Cobas c311; F. Hoffmann-La Roche Ltd., Basel, Switzerland).

Determination of Plasma Free Amino Acids

The plasma samples (800 μL) were mixed with 8% sulfosalicylic acid in equal proportions and then stored at 4°C overnight to precipitate proteins. Supernatants were obtained by centrifugation at 8,000 × g for 10 min. The processed samples were then filtered through a 0.22-μm membrane into sample bottles prior to analysis of free AAs using an automatic amino acid analyzer (L8900; Hitachi, Tokyo, Japan).

Statistical Analysis

The experimental unit was a pen for ADFI, ADG, and F/G data, and individual pigs were used for data on carcass traits, meat quality, muscular chemical composition, plasma biochemical parameters, plasma-free AAs, and mRNA expression. All the data were analyzed using the SPSS software package (SPSS v. 25.0; SPSS Inc., Chicago IL, United States). The normal distribution of the data was confirmed by the Shapiro-Wilk test before assessing differences between the four groups. The data were analyzed by one-way ANOVA, and differences between the four treatments were compared by Tukey's post-hoc test. The data are presented as mean ± SEM. The differences were considered statistically significant at P < 0.05.

Results

Growth Performance

The effects of probiotics and synbiotics addition in sows' diets on growth performance of the offspring are shown in Table 1. Compared with the antibiotic group, the addition of maternal probiotics increased (P < 0.05) the BW of 95-day-old pigs. The ADFI increased in the probiotics group and decreased in the antibiotic group at 66–95 days of age when compared with the control group (P < 0.05), and the antibiotic group had higher F/G than the control group and higher ADFI than the other three groups at 96–125 days of age (P < 0.05).

Table 1.

Effects of probiotics and synbiotics addition in sows' diets on growth performance of offspring pigs.

Items Control Antibiotic Probiotics Synbiotics SEM P-values
group group group group
Body weight (kg)
35 days of age 4.97 4.90 4.80 4.66 0.172 0.609
65 days of age 9.37 8.99 9.54 9.26 0.190 0.243
95 days of age 14.05ab 12.37b 14.61a 13.32ab 0.528 0.032
125 days of age 22.67 26.19 25.36 27.19 1.289 0.097
Average daily gain (kg/d)
35–65 days of age 0.15 0.14 0.15 0.16 0.005 0.079
66–95 days of age 0.18 0.15 0.18 0.16 0.012 0.284
96–125 days of age 0.27 0.27 0.25 0.26 0.027 0.902
Average daily feed intake (kg/d)
35–65 days of age 0.41 0.41 0.44 0.41 0.012 0.330
66–95 days of age 0.64b 0.55c 0.75a 0.70ab 0.024 <0.0001
96–125 days of age 0.92b 1.32a 0.91b 1.10b 0.065 <0.0001
Feed/gain ratio
35–65 days of age 3.02 2.86 2.68 2.78 0.102 0.136
66–95 days of age 3.56 3.82 3.75 4.25 0.220 0.173
96–125 days of age 3.32b 4.17a 4.00ab 3.90ab 0.211 0.040

Data are presented as means with pooled SEM. Values in the same row with different superscript letters were significantly different (P < 0.05). The replicates per group at 35–65 and 66–95 days of age were 8; at 96–125 days of age, the replicates of the control group, antibiotic group, probiotics group, and synbiotics group were 8, 6, 8, and 6, respectively.

Carcass Traits

The effects of maternal probiotics and synbiotics addition on the carcass traits of the offspring are presented in Table 2. At 65 days of age, the probiotics group had a higher (P < 0.05) carcass weight than the antibiotic and synbiotics groups, whereas the backfat thickness was higher (P < 0.05) in the probiotics group than in the control and antibiotic groups. At 95 days of age, the leaf fat ratio was lower (P < 0.05) in the antibiotic and probiotics groups than in the control and synbiotics groups, while the loin-eye area was higher (P < 0.05) in the synbiotics group than in the antibiotic group. Moreover, the antibiotic group had a lower fat percentage than the other three groups and a lower carcass weight than the control group at 95 days of age (P < 0.05). At 125 days of age, the addition of maternal antibiotic, probiotics, and synbiotics increased the fat percentage and backfat thickness compared with those in the control group, whereas the addition of maternal synbiotics decreased the muscle percentage of offspring pigs compared to that in the control and probiotics groups (P < 0.05). The addition of maternal synbiotics decreased (P < 0.05) the loin-eye area of offspring pigs compared to that in the other three groups at 125 days of age.

Table 2.

Effects of probiotics and synbiotics addition in sows' diets on carcass traits of offspring pigs.

Items Control Antibiotic Probiotics Synbiotics SEM P-values
group group group group
Carcass weight (kg)
65 days of age 5.00ab 4.71b 5.27a 4.82b 0.108 0.006
95 days of age 8.25a 6.36b 7.73ab 7.32ab 0.445 0.037
125 days of age 13.83 16.40 14.60 16.25 0.817 0.091
Muscle percentage (%)
65 days of age 21.56 21.09 22.49 21.17 0.491 0.191
95 days of age 21.23 20.67 22.00 21.51 0.389 0.130
125 days of age 23.87a 23.11ab 23.53a 22.44b 0.236 0.002
Fat percentage (%)
65 days of age 12.14 12.10 13.31 11.78 0.396 0.052
95 days of age 15.24a 12.47b 15.29a 15.01a 0.662 0.011
125 days of age 17.73b 21.49a 22.28a 20.89a 0.548 <0.0001
Bone percentage (%)
65 days of age 11.80 11.89 11.95 11.98 0.190 0.915
95 days of age 10.13 10.44 10.57 9.99 0.273 0.424
125 days of age 9.15 8.55 9.60 9.25 0.261 0.069
Leaf fat ratio (g/kg)
65 days of age 6.93 6.04 7.05 6.75 0.376 0.248
95 days of age 11.41a 8.09b 7.77b 11.17a 0.587 <0.0001
125 days of age 16.77b 17.88b 21.54a 19.33ab 0.925 0.005
Backfat thickness (mm)
65 days of age 13.27b 12.78b 14.65a 13.90ab 0.396 0.014
95 days of age 18.79 16.78 18.46 16.98 0.611 0.060
125 days of age 24.75b 28.81a 27.53a 28.15a 0.832 0.009
Loin-eye muscle area (cm 2 )
65 days of age 4.21 4.29 4.45 4.19 0.200 0.788
95 days of age 4.33ab 4.22b 4.39ab 5.01a 0.200 0.038
125 days of age 7.20a 7.36a 7.67a 5.57b 0.282 <0.0001

Data are presented as means with pooled SEM. Values in the same row with different superscript letters were significantly different (P < 0.05). The replicates per group at 65 and 95 days of age were 8; at 125 days of age, the replicates of the control group, antibiotic group, probiotics group, and synbiotics group were 8, 6, 8, and 6, respectively.

Meat Quality

The effects of adding dietary probiotics and synbiotics to sows' diets on the meat quality of offspring are shown in Table 3. Drip loss in the probiotics and synbiotics groups was lower (P < 0.05) than that in the control and antibiotic groups, whereas cooking yield in the probiotics group was higher (P < 0.05) at 65 days of age. In addition, the L* value was lower (P < 0.05) in the probiotics group, and shear force was higher (P < 0.05) in the synbiotics group than in the other three groups at 65 days of age. At 95 days of age, the a* value was lower (P < 0.05) in the probiotics group but higher (P < 0.05) in the synbiotics group than in the control and antibiotic groups. pH45min values was higher (P < 0.05) in the probiotics group than in the control and synbiotics groups, and the L* value in the probiotics group was higher (P < 0.05) than in the synbiotics group at 95 days of age. At 125 days of age, the L* value was lower in the synbiotics group than in the control and probiotics groups, whereas the b* value was higher in the probiotics group than in the antibiotic and synbiotics groups (P < 0.05). The shear force in the probiotics and synbiotics groups was lower than in the control and antibiotic groups, while cooking yield and shear force were higher in the antibiotic group than in the other three groups at 125 days of age (P < 0.05).

Table 3.

Effects of probiotics and synbiotics addition in sows' diets on meat quality of offspring pigs.

Items Control Antibiotic Probiotics Synbiotics SEM P-values
group group group group
Marbling score
65 days of age 1.75 1.63 1.38 1.50 0.180 0.502
95 days of age 1.88 1.38 1.25 1.38 0.190 0.120
125 days of age 1.50 1.67 1.25 1.67 0.193 0.376
Meat color score
65 days of age 3.13 2.88 2.75 2.50 0.336 0.620
95 days of age 2.50 2.38 2.38 2.63 0.184 0.740
125 days of age 2.75 3.17 2.50 2.83 0.208 0.188
a*value
65 days of age 19.58 19.11 19.47 18.50 0.617 0.605
95 days of age 18.44b 18.01b 17.12c 19.86a 0.226 <0.0001
125 days of age 18.14 17.89 17.17 17.16 0.499 0.377
b*value
65 days of age 6.87 6.82 7.50 7.05 0.192 0.071
95 days of age 6.72 6.59 6.06 6.47 0.213 0.171
125 days of age 7.07ab 6.50b 7.30a 6.48b 0.187 0.008
L*value
65 days of age 51.01a 50.66a 48.11b 50.75a 0.623 0.008
95 days of age 50.16ab 49.67ab 51.78a 48.50b 0.766 0.041
125 days of age 50.94a 49.49ab 52.35a 47.33b 0.993 0.011
pH 45min
65 days of age 6.55 6.55 6.50 6.52 0.035 0.744
95 days of age 6.54b 6.67ab 6.74a 6.55b 0.037 0.002
125 days of age 6.49 6.63 6.66 6.52 0.054 0.069
pH 24h
65 days of age 5.46 5.49 5.61 5.45 0.053 0.134
95 days of age 5.46 5.44 5.46 5.49 0.013 0.088
125 days of age 5.46 5.53 5.50 5.50 0.025 0.245
Drip loss (%)
65 days of age 6.32a 5.64a 4.41b 2.96c 0.340 <0.0001
95 days of age 3.42 3.35 2.98 2.78 0.313 0.437
125 days of age 4.82 3.31 3.82 3.94 0.485 0.182
Cooking yield (%)
65 days of age 63.01bc 60.94c 67.02a 65.22ab 1.087 0.003
95 days of age 70.92 69.26 70.99 68.53 0.806 0.098
125 days of age 68.57b 78.41a 68.50b 66.94b 2.331 0.012
Shear force (N)
65 days of age 61.50b 62.96b 58.73b 75.28a 2.311 <0.0001
95 days of age 73.25 64.61 65.74 70.82 2.936 0.143
125 days of age 91.94b 101.74a 77.14c 84.41c 2.516 <0.0001

Data are presented as means with pooled SEM. Values in the same row with different superscript letters were significantly different (P < 0.05). The replicates per group at 65 and 95 days of age were 8; at 125 days of age, the replicates of the control group, antibiotic group, probiotics group, and synbiotics group were 8, 6, 8, and 6, respectively.

a*, redness;

b*, yellowness;

L*, lightness.

Amino Acid Content of LT Muscle

The effects of maternal probiotics and synbiotics addition on AA content in the LT muscle are presented in Table 4. The asparagine (Asp) and glycine (Gly) contents in the LT muscle were lower in the probiotics group than in the control and antibiotic groups at 65 days of age (P < 0.05). In addition, the histidine (His) content in the LT muscle was higher (P < 0.05) in the probiotics group than in the other three groups at 65 days of age.

Table 4.

Effects of probiotics and synbiotics addition in sows' diets on crude protein and amino acid contents in the longissimus thoracis muscle of offspring pigs (g/100 g fresh muscle).

Items Control Antibiotic Probiotics Synbiotics SEM P-values
group group group group
CP
65 days of age 23.39ab 23.80ab 24.50a 23.17b 0.318 0.032
95 days of age 22.12 22.65 22.83 22.26 0.316 0.365
125 days of age 22.21ab 22.79a 22.06ab 21.44b 0.252 0.016
Ala
65 days of age 1.20 1.20 1.18 1.20 0.031 0.975
95 days of age 1.06 1.14 1.12 1.07 0.031 0.237
125 days of age 1.17 1.23 1.27 1.21 0.029 0.126
Arg
65 days of age 1.34 1.31 1.27 1.31 0.026 0.378
95 days of age 1.21b 1.30a 1.35a 1.34a 0.032 0.017
125 days of age 1.34 1.37 1.43 1.38 0.031 0.256
Asp
65 days of age 1.80a 1.80a 1.63b 1.70ab 0.038 0.009
95 days of age 1.51b 1.55ab 1.68a 1.69a 0.044 0.014
125 days of age 1.76b 1.91a 1.94a 1.77b 0.041 0.004
Glu
65 days of age 2.63 2.63 2.53 2.54 0.070 0.632
95 days of age 2.63 2.68 2.82 2.81 0.066 0.144
125 days of age 2.84 2.96 3.03 3.00 0.070 0.215
Gly
65 days of age 1.09a 1.08a 0.96b 1.01ab 0.034 0.047
95 days of age 0.95 1.01 1.05 1.06 0.035 0.118
125 days of age 0.98 0.96 1.01 0.96 0.040 0.817
His
65 days of age 0.80b 0.75b 0.91a 0.79b 0.021 <0.0001
95 days of age 0.94a 0.90ab 0.82b 0.85ab 0.027 0.022
125 days of age 0.89b 0.95b 0.94b 1.08a 0.027 <0.0001
Ile
65 days of age 0.90 0.90 0.83 0.87 0.021 0.056
95 days of age 0.82b 0.83b 0.91a 0.91a 0.021 0.002
125 days of age 0.99 1.04 1.06 0.98 0.024 0.075
Leu
65 days of age 1.74 1.71 1.61 1.68 0.034 0.079
95 days of age 1.43 1.42 1.50 1.51 0.037 0.252
125 days of age 1.67b 1.80a 1.82a 1.71ab 0.040 0.033
Lys
65 days of age 1.77 1.77 1.64 1.73 0.040 0.105
95 days of age 1.59b 1.58b 1.72ab 1.78a 0.047 0.014
125 days of age 1.89 1.96 2.02 1.91 0.045 0.194
Met
65 days of age 0.53 0.54 0.50 0.49 0.016 0.278
95 days of age 0.54 0.52 0.54 0.53 0.013 0.612
125 days of age 0.62 0.65 0.66 0.66 0.019 0.362
Phe
65 days of age 0.87 0.84 0.86 0.87 0.021 0.789
95 days of age 0.86 0.81 0.84 0.87 0.020 0.193
125 days of age 0.90b 0.91ab 0.96ab 1.00a 0.025 0.039
Pro
65 days of age 0.94 0.96 1.07 0.96 0.039 0.094
95 days of age 1.17ab 1.33a 1.14ab 0.98b 0.061 0.006
125 days of age 1.04 0.90 0.97 1.07 0.050 0.136
Ser
65 days of age 0.69 0.71 0.67 0.68 0.020 0.518
95 days of age 0.71 0.74 0.76 0.75 0.017 0.172
125 days of age 0.75b 0.75b 0.78b 0.84a 0.019 0.012
Tyr
65 days of age 0.71 0.67 0.70 0.70 0.016 0.341
95 days of age 0.63 0.70 0.71 0.70 0.038 0.428
125 days of age 0.75 0.70 0.75 0.80 0.026 0.176
Thr
65 days of age 0.93 0.93 0.87 0.90 0.018 0.051
95 days of age 0.84 0.88 0.92 0.89 0.024 0.120
125 days of age 0.96 0.97 1.00 0.99 0.024 0.493
Val
65 days of age 0.97 0.97 0.90 0.95 0.023 0.107
95 days of age 0.96 0.93 0.98 1.00 0.023 0.130
125 days of age 1.08 1.11 1.14 1.12 0.027 0.447
EAA
65 days of age 9.83 9.72 9.49 9.59 0.195 0.637
95 days of age 9.17 9.18 9.58 9.68 0.216 0.233
125 days of age 10.35 10.76 11.03 10.84 0.234 0.190
NEAA
65 days of age 9.08 9.06 8.76 8.80 0.214 0.610
95 days of age 8.56 9.14 9.28 9.06 0.229 0.159
125 days of age 9.29 9.42 9.73 9.64 0.226 0.469
FAA
65 days of age 8.06 8.03 7.57 7.76 0.181 0.211
95 days of age 7.39 7.68 8.01 7.97 0.180 0.075
125 days of age 8.09 8.43 8.66 8.31 0.188 0.176
TAA
65 days of age 18.90 18.78 18.27 18.39 0.402 0.643
95 days of age 17.25b 18.32ab 18.85a 18.74a 0.403 0.035
125 days of age 19.64 20.18 20.76 20.4 0.451 0.303

Data are presented as means with pooled SEM. Values in the same row with different superscript letters were significantly different (P < 0.05). The replicates per group at 65 and 95 days of age were 8; at 125 days of age, the replicates of the control group, antibiotic group, probiotics group, and synbiotics group were 8, 6, 8, and 6, respectively. CP, crude protein; EAA, essential amino acid; NEAA, nonessential amino acid; FAA, flavor amino acid; TAA, total amino acid. The EAAs included arginine (Arg), histidine (His), isoleucine (Ile), leucine (Leu), lysine (Lys), methionine (Met), phenylalanine (Phe), threonine (Thr), and valine (Val). The NEAAs included alanine (Ala), aspartate (Asp), glutamate (Glu), glycine (Gly), proline (Pro), serine (Ser), and tyrosine (Tyr). The FAAs included Asp, Glu, Gly, Ala, and Arg.

At 95 days of age, the arginine (Arg) content in the LT muscle was higher (P < 0.05) in the antibiotic, probiotics, and synbiotics groups than in the control group. Compared to the control group, the Asp and total AA (TAA) contents in the LT muscle were higher in the probiotics and synbiotics groups, whereas His content was lower in the probiotics group (P < 0.05). The isoleucine (Ile) content in the probiotics and synbiotics groups and the lysine (Lys) content in the synbiotics group were higher than those in the control and antibiotic groups (P < 0.05). The proline (Pro) content was lower in the synbiotics group than in the antibiotic group (P < 0.05).

At 125 days of age, the leucine (Leu) content in the LT muscle of the antibiotic and probiotics groups and the phenylalanine (Phe) content in the synbiotics group were higher than in the control group, whereas Asp content was higher in the antibiotic and probiotics groups than in the control and synbiotics groups (P < 0.05), and the serine (Ser) and His contents in the LT muscle were higher (P < 0.05) in the synbiotics group than in the other three groups at 125 days of age.

Fatty Acid Content of LT Muscle

The effects of maternal probiotics and synbiotics addition on FA content in the LT muscle of the offspring are shown in Table 5. At 65 days of age, the LT muscle C18:2n6c and polyunsaturated FA (PUFA) contents in the antibiotic and probiotics groups and the C16:0 content in the probiotics group were higher than those in the control and synbiotics groups, whereas C12:0 content was higher in the synbiotics group than in the control group, and the C14:0 content in the synbiotics group was higher than that in the control and probiotics groups (P < 0.05). In addition, C24:0 content was higher (P < 0.05) in the probiotics group, while C18:1n9c, C20:0, C20:1, and SFA saturated FA (SFA) contents were lower (P < 0.05) compared with the other three groups. C10:0 content was higher (P < 0.05) in the synbiotics group than in the other three groups, and IMF content was lower (P < 0.05) in the probiotics group than in the antibiotic and synbiotics groups.

Table 5.

Effects of probiotics and synbiotics addition in sows' diets on intramuscular fat and fatty acid contents in the longissimus thoracis muscle of offspring pigs (%).

Items Control Antibiotic Probiotics Synbiotics SEM P-values
group group group group
Intramuscular fat
65 days of age 2.72ab 3.13a 2.32b 3.24a 0.231 0.035
95 days of age 2.62ab 2.44ab 3.21a 1.52b 0.325 0.009
125 days of age 2.15b 2.07b 1.79b 2.80a 0.197 0.012
C10:0
65 days of age 0.024b 0.023b 0.021b 0.028a 0.001 0.004
95 days of age 0.022b 0.024ab 0.027a 0.026a 0.001 0.028
125 days of age 0.024 0.023 0.026 0.029 0.002 0.145
C12:0
65 days of age 0.036b 0.039ab 0.038ab 0.042a 0.001 0.039
95 days of age 0.041a 0.030b 0.035b 0.031b 0.002 <0.0001
125 days of age 0.028a 0.023b 0.028a 0.029a 0.001 0.024
C14:0
65 days of age 0.447bc 0.486ab 0.423c 0.524a 0.014 <0.0001
95 days of age 0.487b 0.514ab 0.559a 0.536ab 0.017 0.040
125 days of age 0.497 0.505 0.474 0.509 0.027 0.772
C15:0
65 days of age 0.024 0.029 0.026 0.027 0.001 0.152
95 days of age 0.022 0.024 0.023 0.026 0.001 0.156
125 days of age 0.022a 0.019ab 0.017b 0.016b 0.001 0.001
C16:0
65 days of age 8.137a 8.176ab 7.604b 8.355a 0.162 0.017
95 days of age 8.334 8.209 8.643 8.301 0.141 0.172
125 days of age 8.231 8.290 7.796 8.089 0.216 0.356
C16:1
65 days of age 1.177 1.169 1.091 1.254 0.055 0.253
95 days of age 0.728c 0.906ab 0.976a 0.884b 0.025 <0.0001
125 days of age 0.785b 0.755b 0.868a 0.757b 0.026 0.013
C17:0
65 days of age 0.103 0.116 0.100 0.110 0.005 0.183
95 days of age 0.091 0.094 0.094 0.100 0.004 0.514
125 days of age 0.082a 0.078ab 0.061b 0.070ab 0.006 0.045
C18:0
65 days of age 4.364 4.207 4.062 4.244 0.085 0.118
95 days of age 5.141 4.824 5.001 4.759 0.103 0.056
125 days of age 4.670 4.440 4.687 4.621 0.102 0.345
C18:1n9c
65 days of age 8.753a 8.813a 8.023b 8.805a 0.198 0.021
95 days of age 8.820ab 8.592b 9.663a 8.894ab 0.256 0.035
125 days of age 9.722 9.520 9.567 10.171 0.358 0.610
C18:1n9t
65 days of age 0.036 0.036 0.035 0.033 0.001 0.500
95 days of age 0.034 0.032 0.035 0.032 0.002 0.538
125 days of age 0.042a 0.035b 0.035b 0.036b 0.002 0.019
C18:2n6c
65 days of age 4.135b 4.499a 4.626a 4.008b 0.107 0.001
95 days of age 3.179 3.503 3.242 3.165 0.104 0.101
125 days of age 2.603a 2.306ab 2.405ab 2.150b 0.105 0.037
C20:0
65 days of age 0.063a 0.064a 0.051b 0.068a 0.003 0.001
95 days of age 0.070 0.074 0.075 0.068 0.003 0.190
125 days of age 0.063 0.057 0.061 0.064 0.003 0.387
C20:1
65 days of age 0.204b 0.223ab 0.181c 0.241a 0.008 <0.0001
95 days of age 0.303a 0.223c 0.296a 0.263b 0.010 <0.0001
125 days of age 0.097 0.088 0.090 0.085 0.003 0.139
C20:2
65 days of age 0.163 0.155 0.143 0.156 0.005 0.059
95 days of age 0.153 0.138 0.148 0.138 0.006 0.267
125 days of age 0.105 0.091 0.091 0.088 0.005 0.097
C20:3n6
65 days of age 0.101 0.108 0.114 0.116 0.005 0.241
95 days of age 0.080 0.090 0.073 0.087 0.006 0.146
125 days of age 0.072 0.073 0.078 0.068 0.006 0.700
C20:4n6
65 days of age 0.858 0.841 0.936 0.790 0.069 0.522
95 days of age 0.512b 0.762a 0.499b 0.614b 0.049 0.002
125 days of age 0.521 0.562 0.588 0.448 0.051 0.274
C24:0
65 days of age 0.052b 0.056b 0.074a 0.054b 0.004 0.002
95 days of age 0.051a 0.055a 0.036b 0.046ab 0.004 0.010
125 days of age 0.048 0.054 0.057 0.057 0.004 0.401
SFA
65 days of age 13.267a 13.245a 12.506b 13.271a 0.219 0.049
95 days of age 14.218 13.855 14.391 13.757 0.234 0.204
125 days of age 13.712 12.881 13.271 13.111 0.393 0.496
UFA
65 days of age 15.777 15.921 15.444 15.608 0.226 0.482
95 days of age 14.318b 14.175b 15.186a 14.553b 0.161 0.001
125 days of age 14.061 13.697 13.528 13.803 0.302 0.604
MUFA
65 days of age 10.144 10.901 9.373 10.512 0.447 0.119
95 days of age 9.857b 9.568b 10.94a 10.084b 0.267 0.007
125 days of age 10.761 10.465 10.475 10.87 0.405 0.863
PUFA
65 days of age 5.404b 6.389a 6.400a 5.343b 0.314 0.027
95 days of age 3.891b 4.587a 4.094ab 4.198ab 0.156 0.028
125 days of age 3.300 3.232 3.192 2.933 0.215 0.674
PUFA/SFA
65 days of age 0.408 1.164 0.485 0.409 0.311 0.267
95 days of age 0.276 0.328 0.283 0.307 0.015 0.082
125 days of age 0.246 0.244 0.241 0.226 0.020 0.913

Data are presented as means with pooled SEM. Values in the same row with different superscript letters were significantly different (P < 0.05). The replicates per group at 65 and 95 days of age were 8; at 125 days of age, the replicates of the control group, antibiotic group, probiotics group, and synbiotics group were 8, 6, 8, and 6, respectively. SFA, saturated fatty acid; UFA, unsaturated fatty acid; MUFA, monounsaturated fatty acid; PUFA, polyunsaturated fatty acid. The SFAs include C10:0, C12:0, C14:0, C15:0, C16:0,C17:0, C18:0, C20:0, and C24:0; the UFAs include C16:1, C18:1n9c, C18:1n9t, C18:2n6c, C18:3n3, C20:1, C20:2, C20:3n6, and C20:4n6; the MUFAs include C16:1, C18:1n9c, C18:1n9t, and C20:1; the PUFAs include C18:2n6c, C18:3n3, C20:2, C20:3n6, and C20:4n6.

At 95 days of age, the C10:0 content in the probiotics and synbiotics groups and the C14:0 content in the probiotics group was higher, while the C20:1 content in the antibiotic and synbiotics groups was lower than in the control group (P < 0.05). In addition, C16:1 content was higher, while C12:0 content was lower in the antibiotic, probiotics, and synbiotics groups than in the control group (P < 0.05). Moreover, the unsaturated FA (UFA) and monounsaturated FA (MUFA) contents were higher (P < 0.05) in the probiotics group than in the other three groups at 95 days of age.

At 125 days of age, the C15:0 content in the LT muscle of the probiotics and synbiotics groups, C17:0 content in the probiotics group, C18:2n6c content in the synbiotics group, and C18:1n9t content in the antibiotic, probiotics, and synbiotics groups were lower (P < 0.05) than in the control group. In addition, the C16:1 content in the probiotics group and the IMF in the synbiotics group were higher (P < 0.05) than those in the other three groups.

The mRNA Expression of Genes in LT Muscle

The effects of probiotics and synbiotics addition in sows' diets on the mRNA expression of myosin heavy chain (MyHC) isoforms, myogenic regulatory factors (MRFs), and lipid metabolism-related genes in the LT muscle of the offspring are shown in Figure 1. Compared with the control group, the mRNA expression of MyHC IIa in the antibiotic, probiotics, and synbiotics groups were upregulated (P < 0.05), whereas that of MyHC IIx in the synbiotics group was downregulated (P < 0.05) at 65 days of age (Figures 1A,B). The mRNA expression of MyHC IIb in the synbiotics group was downregulated compared with that in the control and probiotics groups, the expression of MyHC I was upregulated (P < 0.05) in the probiotics group compared with that in the other three groups, and that of myogenic factor 6 (Myf6) was downregulated (P < 0.05) in the antibiotic group compared with that in the probiotics group (Figures 1A,B). At 95 days of age, the mRNA expression of MyHC IIb and myogenic factor 5 (Myf5) were upregulated (P < 0.05) in the probiotics and synbiotics groups compared to that in the control and antibiotic groups. The expression of MyHC I and Myf6 were upregulated (P < 0.05) in the synbiotics group, whereas the expression of myostatin (MSTN) was downregulated (P < 0.05) when compared with the other three groups (Figures 1A,B). At 125 days of age, the expression of Myf6 in the antibiotic, probiotics, and synbiotics groups and MyHC IIa in the antibiotic and synbiotics groups was upregulated (P < 0.05) compared with the control group. In addition, the expression of myogenin (MyOG) in the probiotics and synbiotics groups was downregulated (P < 0.05) compared to that in the control and antibiotic groups; moreover, the expression of MyHC I and Myf5 were upregulated (P < 0.05) in the antibiotic group compared to that in the control and probiotics groups (Figures 1A,B).

Figure 1.

Figure 1

Effects of probiotics and synbiotics addition in sows' diets on (A) mRNA expression of myosin heavy chain (MyHC) isoforms, (B) myogenic regulatory factors (MRFs), and (C,D) lipid metabolism-related genes in the longissimus thoracis muscle of offspring pigs at 65, 95, and 125 days of age. 65 d, 65 days of age; 95 d, 95 days of age; 125 d, 125 days of age. ACC, acetyl-CoA carboxylase; FASN, fatty acid synthase; LIPE, hormone-sensitive triglyceride lipase; LPL, lipoprotein lipase; Myf5, myogenic factor 5; Myf6, myogenic factor 6; MyOG, myogenin; MSTN, myostatin; SCD, stearoyl-CoA desaturase; SREBP-1, sterol-regulatory element-binding protein-1.

As shown in Figures 1C,D, at 65 days of age, the expression of stearoyl-CoA desaturase (SCD) was downregulated (P < 0.05) in the antibiotic, probiotic, and synbiotics groups compared to that in the control group, whereas lipoprotein lipase (LPL) expression was upregulated (P < 0.05) in the probiotics group compared to that in the other three groups. At 95 days of age, the expression of LPL in the antibiotic, probiotics, and synbiotics groups and acetyl-CoA carboxylase (ACC) in the probiotics group were upregulated (P < 0.05) compared with the control group, and the expression of fatty acid synthase (FASN) in the probiotics and synbiotics groups and SCD in the synbiotics group were upregulated (P < 0.05) compared with the control and antibiotic groups. At 125 days of age, the expression of LPL was upregulated (P < 0.05) in the antibiotic, probiotics, and synbiotics groups compared with the control group. The expression of ACC was upregulated (P < 0.05) in the antibiotic and synbiotics groups and downregulated (P < 0.05) in the probiotics group compared with that in the control group. Moreover, the expression of FASN and SCD were upregulated (P < 0.05) in the antibiotic group compared with the other three groups, while the expression of hormone-sensitive triglyceride lipase (LIPE) in the antibiotic group was upregulated (P < 0.05) compared with that in the control group.

Plasma Biochemical Parameters

The effects of probiotics and synbiotics in sows' diets on the plasma biochemical parameters of the offspring are presented in Table 6. At 65 days of age, the plasma activity of α-AMS was lower in the antibiotic, probiotics, and synbiotics groups than in the control group, and LDH level was higher in the probiotics group and lower in the antibiotic group (P < 0.05). The plasma concentrations of LDL-C and TC were lower in the antibiotic group and higher in the synbiotics group than in the control group (P < 0.05). The plasma concentration of HDL-C was higher in the synbiotics group than in the other three groups, while GLU was lower in the control and probiotics groups (P < 0.05). The plasma concentrations of ALB in the antibiotic group and CHE in the probiotics group were lower (P < 0.05) than in the other three groups.

Table 6.

Effects of probiotics and synbiotics addition in sows' diets on plasma biochemical parameters of offspring pigs.

Items Control Antibiotic Probiotics Synbiotics SEM P-values
group group group group
ALT (U/L)
65 days of age 58.79 56.28 56.81 59.15 2.369 0.782
95 days of age 54.74b 54.22b 59.60b 78.33a 4.811 0.004
125 days of age 51.77 48.18 50.76 48.10 3.847 0.873
ALP (U/L)
65 days of age 148.88 164.00 134.57 155.50 8.351 0.108
95 days of age 123.63 127.17 118.50 122.83 10.524 0.951
125 days of age 162.88ab 197.50a 142.83b 123.00b 13.740 0.010
α-AMS (U/L)
65 days of age 2260.50a 1851.40b 1842.17b 1852.33b 76.887 0.001
95 days of age 2186.71 2074.40 2176.80 2271.60 80.523 0.405
125 days of age 2306.00b 2783.00a 2438.25ab 2806.00a 121.075 0.016
AST (U/L)
65 days of age 59.75 56.40 73.71 53.83 6.181 0.129
95 days of age 73.30a 53.80bc 47.33c 63.75ab 3.606 <0.0001
125 days of age 65.17a 47.20b 49.50b 67.50a 5.292 0.023
CHE (g/L)
65 days of age 534.63a 540.33a 420.29b 548.33a 16.605 <0.0001
95 days of age 516.25a 542.83a 427.60b 457.71b 15.986 <0.0001
125 days of age 467.67 475.25 445.50 487.25 13.724 0.203
LDH (U/L)
65 days of age 416.75b 332.20c 503.67a 378.17bc 18.040 <0.0001
95 days of age 465.71a 374.43b 322.67b 437.67a 19.825 <0.0001
125 days of age 475.57a 383.25b 383.29b 411.25ab 26.291 0.042
ALB (g/L)
65 days of age 41.23a 35.54b 41.21a 40.50a 0.643 <0.0001
95 days of age 40.45 39.46 40.58 40.48 0.657 0.596
125 days of age 43.86 44.53 45.18 43.93 0.915 0.677
AMM (μmol/L)
65 days of age 167.93 159.24 203.50 189.87 14.293 0.137
95 days of age 265.37a 236.36a 171.86b 229.62a 17.090 0.005
125 days of age 332.90a 128.30d 198.58c 269.55b 21.299 <0.0001
TP (g/L)
65 days of age 65.00 66.62 65.13 67.52 0.765 0.078
95 days of age 73.68ab 73.68ab 74.63a 70.82b 0.939 0.043
125 days of age 72.76a 68.90b 73.78a 73.10a 0.833 0.002
UN (mmol/L)
65 days of age 3.10 3.20 3.18 2.87 0.341 0.901
95 days of age 3.56a 3.60a 2.42c 3.14b 0.127 <0.0001
125 days of age 3.47ab 3.98a 3.93a 3.35b 0.158 0.020
HDL-C (mmol/L)
65 days of age 0.76b 0.75b 0.74b 0.88a 0.033 0.019
95 days of age 1.07 1.11 1.05 1.01 0.036 0.292
125 days of age 1.10b 1.22a 1.23a 1.09b 0.036 0.010
LDL-C (mmol/L)
65 days of age 1.28b 1.08c 1.26b 1.50a 0.050 <0.0001
95 days of age 1.57 1.64 1.66 1.60 0.084 0.860
125 days of age 1.53 1.26 1.53 1.43 0.073 0.052
TC (mmol/L)
65 days of age 2.37b 2.12c 2.31b 2.53a 0.053 <0.0001
95 days of age 2.68 2.90 2.85 2.83 0.073 0.199
125 days of age 2.78ab 2.59b 3.05a 2.78ab 0.082 0.004
TG (mmol/L)
65 days of age 0.49 0.48 0.49 0.53 0.034 0.734
95 days of age 0.76a 0.60ab 0.63ab 0.51b 0.047 0.009
125 days of age 0.62b 0.61b 0.56b 0.82a 0.034 <0.0001
GLU (mmol/L)
65 days of age 5.30a 5.12ab 5.30a 4.66b 0.176 0.049
95 days of age 6.40a 4.66b 5.18b 4.78b 0.246 <0.0001
125 days of age 4.48 4.92 4.66 4.80 0.161 0.261

Data are presented as means with pooled SEM. Values in the same row with different superscript letters were significantly different (P < 0.05). The replicates per group at 65 and 95 days of age were 8; at 125 days of age, the replicates of the control group, antibiotic group, probiotics group, and synbiotics group were 8, 6, 8, and 6, respectively. ALT, alanine aminotransferase; ALP, alkaline phosphatase; α-AMS, α-amylase; AST, aspartate aminotransferase; CHE, cholinesterase; LDH, lactate dehydrogenase; ALB, albumin; AMM, ammonia; TP, total protein; UN, urea nitrogen; HDL-C, high-density lipoprotein-cholesterol; LDL-C, low-density lipoprotein-cholesterol; TC, total cholesterol; TG, triglyceride; GLU, glucose.

At 95 days of age, the plasma activities of AST and LDH in the antibiotic and probiotics groups, GLU concentration in the antibiotic, probiotics, and synbiotics groups, and TG concentration in the synbiotics group were lower (P < 0.05) than in the control group. Plasma CHE activity and UN concentration were lower (P < 0.05) in the probiotics and synbiotics groups than in the control and antibiotic groups, while plasma AMM concentration was lower in the probiotics group and ALT concentration was higher in the synbiotics group than in the other three groups (P < 0.05).

At 125 days of age, plasma HDL-C concentration was higher (P < 0.05), and AST and LDH activities were lower (P < 0.05) in the antibiotic and probiotics groups than in the control group. The plasma AMM concentration was lower (P < 0.05) in the antibiotic, probiotics, and synbiotics groups, while α-AMS activity was higher (P < 0.05) in the antibiotic and synbiotics groups than in the control group. The plasma TP concentration in the antibiotic group was lower (P < 0.05), and the TG concentration in the synbiotics group was higher (P < 0.03) than in the other three groups.

Plasma Free Amino Acid Concentration

The effects of probiotics and synbiotics in sows' diets on plasma free AA concentrations in the offspring are presented in Table 7. At 65 days of age, the plasma His concentration in the probiotics group and β-aminoisobutyric acid (β-AiBA) concentrations in the antibiotic and synbiotics groups were higher (P < 0.05), whereas the plasma hydroxyproline (Hypro) concentration in the antibiotic, probiotics, and synbiotics groups, Gly, Ile, sarcosine (Sar), and taurine (Tau) concentration in the antibiotic and probiotics groups, and Leu concentration in the probiotics group were lower (P < 0.05) than in the control group. Compared with the control and antibiotic groups, the plasma citrulline (Cit) and cystathionine (Cysthi) concentrations were higher (P < 0.05) in the synbiotics group, whereas the plasma alanine (Ala) concentration was lower (P < 0.05) in the probiotics group. Plasma γ-amino-n-butyric acid (γ-ABA) concentration was higher in the synbiotics group than that in the other three groups, and plasma tyrosine (Tyr) concentration was lower, while the hydroxylysine (Hylys) concentration was higher in the probiotics group than in the other three groups (P < 0.05). However, the plasma threonine (Thr) and Pro concentrations were higher (P < 0.05) in the antibiotic group than in the other three groups.

Table 7.

Effects of probiotics and synbiotics addition in sows' diets on plasma-free amino acid of offspring pigs (nmol/mL).

Items Control Antibiotic Probiotics Synbiotics SEM P-values
group group group group
1-Mehis
65 days of age 0.85 0.95 0.50 0.90 0.147 0.157
95 days of age 6.13b 8.96a 5.06b 6.70b 0.626 0.001
125 days of age 0.93 0.89 0.44 1.16 0.201 0.095
3-Mehis
65 days of age 12.38 11.64 11.69 12.13 0.766 0.885
95 days of age 14.09 13.74 12.71 15.27 0.730 0.123
125 days of age 13.92 15.41 17.17 16.37 1.082 0.146
Ala
65 days of age 419.55a 445.57a 323.57b 391.40ab 24.723 0.011
95 days of age 358.50a 252.02b 296.22ab 347.86a 18.048 0.001
125 days of age 312.99b 393.20a 301.66b 284.56b 20.815 0.009
Ans
65 days of age 1.05 1.04 0.98 0.88 0.105 0.682
95 days of age 0.48a 0.46a 0.51a 0.36b 0.028 0.005
125 days of age 22.53c 55.86a 35.01b 21.56c 2.124 <0.0001
Arg
65 days of age 70.36 79.78 83.70 88.64 4.783 0.070
95 days of age 89.22ab 67.25b 69.73b 102.12a 6.953 0.004
125 days of age 84.84b 105.52a 85.15b 88.29b 3.540 0.001
Asp
65 days of age 7.88 9.41 8.84 7.39 1.256 0.665
95 days of age 9.86 10.99 11.55 9.53 0.748 0.211
125 days of age 10.85a 12.44a 6.99b 10.34a 0.679 <0.0001
Car
65 days of age 10.51 10.61 10.72 7.03 1.152 0.087
95 days of age 10.93a 8.97a 3.30b 8.24a 0.985 <0.0001
125 days of age 18.25 17.06 13.97 15.10 1.300 0.083
Cit
65 days of age 25.65c 30.35b 23.54c 34.81a 1.272 <0.0001
95 days of age 40.77a 31.80b 30.24b 34.47b 1.829 0.002
125 days of age 38.50 34.22 40.66 34.89 2.474 0.229
Cysthi
65 days of age 13.04b 7.55c 13.52b 18.79a 0.927 <0.0001
95 days of age 6.05b 6.69b 7.17ab 8.37a 0.437 0.006
125 days of age 9.97b 9.13b 10.88ab 13.89a 1.027 0.036
Cys
65 days of age 9.56 11.19 8.58 12.69 1.062 0.052
95 days of age 94.43 93.56 59.16 70.89 14.719 0.264
125 days of age 12.55 11.11 7.17 12.87 1.872 0.115
EOHNH2
65 days of age 0.27 0.31 0.25 0.28 0.031 0.558
95 days of age 24.52b 36.69a 0.46c 0.27c 2.086 <0.0001
125 days of age 5.09a 5.31a 5.90a 2.95b 0.522 0.006
Glu
65 days of age 186.00 211.73 197.39 183.61 11.824 0.334
95 days of age 207.52 175.66 213.62 215.32 11.319 0.066
125 days of age 155.75a 133.41b 159.41a 134.23b 4.571 <0.0001
Gly
65 days of age 525.00a 441.15b 417.84b 517.45a 22.405 0.003
95 days of age 470.34 472.11 484.09 560.27 29.847 0.129
125 days of age 566.31b 744.00a 517.49b 582.66b 20.194 <0.0001
His
65 days of age 36.13bc 38.06ab 39.58a 35.05c 0.834 0.003
95 days of age 43.72a 38.14b 37.98b 40.04ab 1.406 0.026
125 days of age 44.72a 47.79a 39.29b 44.59a 1.074 <0.0001
Hylys
65 days of age 1.08b 0.99b 1.77a 1.00b 0.144 0.001
95 days of age 0.55b 0.21b 0.31b 17.46a 0.545 <0.0001
125 days of age 20.27 17.00 16.29 13.96 2.598 0.404
Hypro
65 days of age 80.45a 63.26b 67.49b 63.80b 3.157 0.002
95 days of age 37.70 27.34 31.12 40.87 3.707 0.062
125 days of age 67.51 73.25 61.61 56.72 4.385 0.098
Ile
65 days of age 100.01a 89.39b 85.87b 106.56a 3.376 0.001
95 days of age 90.11a 72.10b 68.44b 75.76b 3.811 0.002
125 days of age 86.29b 98.37ab 95.59ab 101.40a 3.731 0.042
Leu
65 days of age 164.89a 150.55ab 141.18b 157.55ab 4.946 0.015
95 days of age 140.61a 110.86b 108.49b 101.71b 6.546 0.001
125 days of age 142.49c 164.70b 145.71c 188.21a 5.000 <0.0001
Lys
65 days of age 143.17 132.49 136.97 143.94 6.986 0.619
95 days of age 125.61 124.84 107.98 137.62 9.034 0.167
125 days of age 135.46bc 152.98a 124.49c 146.49ab 4.722 0.001
Met
65 days of age 15.68 15.23 14.20 14.48 0.603 0.306
95 days of age 12.76 10.83 10.76 11.79 0.641 0.113
125 days of age 12.73c 16.16a 14.10b 12.84c 0.305 <0.0001
Orn
65 days of age 51.91 55.78 59.34 56.87 3.443 0.500
95 days of age 56.21a 40.61b 53.07a 64.72a 4.032 0.002
125 days of age 68.98a 55.47b 43.97b 56.39b 3.736 <0.0001
Phe
65 days of age 81.15 85.83 78.38 79.57 3.381 0.436
95 days of age 81.64 79.95 73.05 83.18 2.810 0.077
125 days of age 90.72ab 92.96a 85.38b 88.08ab 1.540 0.009
Pro
65 days of age 173.12b 214.35a 163.76b 188.85b 7.593 <0.0001
95 days of age 157.10 143.26 154.65 148.96 8.298 0.650
125 days of age 183.79b 224.84a 162.65b 160.26b 11.179 0.002
Sar
65 days of age 8.53a 3.72b 4.13b 6.10ab 0.875 0.002
95 days of age 0.41c 0.66c 6.67a 2.08b 0.381 <0.0001
125 days of age 2.25 2.38 2.28 2.28 0.115 0.855
Ser
65 days of age 75.51 87.29 82.69 80.79 3.228 0.101
95 days of age 81.57 75.69 78.11 75.35 2.589 0.318
125 days of age 81.30b 97.57a 69.65c 73.61c 1.802 <0.0001
Tau
65 days of age 133.56a 108.96bc 100.33c 121.25ab 5.264 0.001
95 days of age 138.40a 116.37b 116.01b 116.55b 5.698 0.022
125 days of age 137.88b 153.35a 133.68b 128.73b 5.074 0.021
Thr
65 days of age 116.70b 151.48a 108.88b 117.32b 7.145 0.001
95 days of age 105.91 107.08 113.80 114.86 8.913 0.852
125 days of age 119.87b 147.49a 111.62b 113.26b 4.004 <0.0001
Tyr
65 days of age 50.03a 47.53a 24.34b 47.37a 4.762 0.002
95 days of age 44.93 53.06 48.90 52.60 2.562 0.112
125 days of age 62.07b 67.95a 60.31b 60.48b 1.552 0.008
Val
65 days of age 249.16ab 222.48b 220.34b 264.19a 12.257 0.047
95 days of age 213.22 183.85 205.35 209.81 8.517 0.089
125 days of age 237.37b 283.85a 257.01ab 284.97a 13.022 0.044
α-AAA
65 days of age 65.81 56.64 67.93 57.40 4.768 0.247
95 days of age 60.05a 45.61b 47.63b 45.07b 2.733 0.002
125 days of age 55.04ab 49.07ab 57.68a 44.23b 3.369 0.049
α-ABA
65 days of age 15.47b 24.10a 15.68b 18.36ab 2.277 0.042
95 days of age 12.16a 4.47b 0.66c 4.87b 1.147 <0.0001
125 days of age 2.68c 3.45b 3.70ab 4.06a 0.131 <0.0001
β-Ala
65 days of age 8.33 5.87 6.00 7.30 0.763 0.096
95 days of age 8.88a 3.91c 2.70c 6.33b 0.555 <0.0001
125 days of age 6.91b 8.60a 6.97b 7.85ab 0.273 <0.0001
β-AiBA
65 days of age 0.52b 1.43a 0.33b 1.35a 0.084 <0.0001
95 days of age 0.66c 2.55a 1.72b 1.73b 0.196 <0.0001
125 days of age 0.61b 1.05a 0.59b 0.37c 0.054 <0.0001
γ-ABA
65 days of age 0.25b 0.21b 0.16b 0.59a 0.041 <0.0001
95 days of age 0.67a 0.23b 0.18b 0.16b 0.060 <0.0001
125 days of age 1.81 1.89 1.66 1.64 0.115 0.374

Data are presented as means with pooled SEM. Values in the same row with different superscript letters were significantly different (P < 0.05). The replicates per group at 65 and 95 days of age were 8; at 125 days of age, the replicates of the control group, antibiotic group, probiotics group, and synbiotics group were 8, 6, 8, and 6, respectively. 1-Mehis, 1-methyl-histidine; 3-Mehis, 3-methyl-histidine; Ala, alanine; Ans, anserine; Arg, arginine; Asp, aspartate; Car, carnosine; Cit, citrulline; Cysthi, cystathionine; Cys, cysteine; EOHNH2, ethanolamine; Glu, glutamate; Gly, glycine; His, histidine; Hylys, hydroxy-lysine; Hypro, hydroxy-proline; Ile, isoleucine; Leu, leucine; Lys, lysine; Met, methionine; Orn, ornithine; Phe, phenylalanine; Pro, proline; Sar, sarcosine; Ser, serine; Tau, taurine; Thr, threonine; Tyr, tyrosine; Val, valine; α-AAA, α-aminoadipic acid; α-ABA, α-amino-n-butyric acid; β-Ala, β-alanine; β-AiBA, β-aminoisobutyric acid; γ-ABA, γ-amino-n-butyric acid.

At 95 days of age, the plasma Ile, Leu, Cit, Tau, α-aminoadipic acid (α-AAA), α-amino-n-butyric acid (α-ABA), β-alanine (β-Ala), and γ-ABA concentrations were lower, and β-AiBA was higher in the antibiotic, probiotics, and synbiotics groups than in the control group (P < 0.05). Compared with the control and antibiotic groups, plasma Sar concentration was higher, while EOHNH2 concentration was lower in the probiotics and synbiotics groups, and plasma Cysthi concentration was higher in the synbiotics group (P < 0.05), while plasma Hylys concentration was higher, whereas anserine (Ans) concentration was lower in the synbiotics group than in the other three groups (P < 0.05). However, the Plasma 1 methyl-histidine (1-Mehis) and EOHNH2 concentrations were higher, whereas orthenine (Orn) concentration was lower in the antibiotic group than in the other three groups (P < 0.05).

At 125 days of age, the plasma Ans and methionine (Met) concentrations in the antibiotic and probiotics groups and the valine (Val) and Leu concentrations in the antibiotic and synbiotics groups were higher (P < 0.05) than in the control group. Plasma α-ABA concentration was higher, whereas Orn concentration was lower in the antibiotic, probiotics, and synbiotics groups than in the control group (P < 0.05). Compared with the control and antibiotic groups, plasma Cysthi concentration was higher in the synbiotics group, while Ser concentration was lower in the probiotics and synbiotics groups (P < 0.05). The plasma Asp and His concentrations in the probiotics group, and the EOHNH2 concentration in the synbiotics group were lower (P < 0.05) than in the other three groups; however, plasma Ala, Arg, Gly, Pro, Ser, Tau, Thr, Tyr, and β-AiBA concentrations were higher (P < 0.05) in the antibiotic group than in the other three groups.

Discussion

There is growing scientific and industrial interest in the addition of prebiotics, probiotics, and synbiotics to pig feed (28, 29). Numerous studies have shown that dietary probiotics and synbiotics can improve the health and production performance of pigs by modulating their intestinal microbiota and metabolites (30, 31). Therefore, the present study determined the effects of maternal gut microbiota intervention via dietary antibiotic, probiotics, or synbiotics on the growth performance, carcass traits, meat quality, and metabolism of offspring. Our findings indicate that the addition of probiotics and synbiotics to Bama mini-pig diets could improve the feed intake of offspring pigs and meat quality by increasing water-holding capacity and cooking yield, enhancing meat tenderness and sense-impression, and regulating metabolism and related gene expression.

Probiotics and synbiotics are widely used in livestock production. Consistent with the fact that dietary L. plantarum ZLP001 addition could increase the ADFI of weaning piglets (32), our results showed that the addition of maternal probiotics increased the ADFI in 66–95-day-old piglets. Recent studies have found that dietary probiotics supplementation can improve growth performance by increasing the final BW, ADG, and G/F in growing-finishing Landrace × Yorkshire × Talent pigs (33); however, neither maternal probiotics nor synbiotics addition affected the ADG and F/G of the offspring of Bama mini-pigs in the present study. A possible reason for this inconsistency may be related to pig breeds. Bergamaschi et al. (34) reported that three pig breeds had different feed efficiencies because of their different gut microbiota compositions. In addition, the present study demonstrated that maternal antibiotic addition significantly decreased the ADFI of offspring pigs between 66 and 95 days of age and increased the F/G of those between 96 and 125 days of age, which may be related to the adverse effects of antibiotic use during pregnancy in piglets (35). A previous study also indicated that maternal antibiotic addition could alter the maternal and fetal gut microbiota, thereby affecting the health of offspring (36). Therefore, the adverse effects of maternal antibiotic addition on the growth performance of offspring require further investigation.

Carcass traits and meat quality are the major factors that influence meat flavor, tenderness, juiciness, and overall consumer acceptance. In the present study, the addition of maternal probiotics and synbiotics increased the backfat thickness and fat percentage of offspring pigs at 125 days of age along with the addition of antibiotic, while probiotics addition increased backfat thickness at 65 days of age, suggesting that these additives could increase body fat deposition and improve meat tenderness in 125-day-old pigs. Generally, the loin-eye area is positively related to lean meat rate and negatively related to backfat thickness; however, the present study showed a decrease in loin-eye area and lean meat rate in the synbiotics group at 125 days of age, indicating that maternal synbiotics had a negative impact on lean meat rate. These results are consistent with those of previous studies that found that dietary XOS addition had no significant effect on the lean meat rate of Landrace pigs (37, 38). This inconsistency may be due to pig breed, as the Bama mini-pig is a fatty breed with a generally higher fat content than Landrace pigs (26).

Meat color is an important sensory index because it affects consumers' first impression of meat (39). High-quality meat has higher redness and lower lightness and yellowness (40). In the present study, maternal synbiotics addition increased the redness values at 95 days of age and decreased the lightness values at 125 days of age in the LT muscle of the offspring; maternal probiotics addition decreased the lightness at 65 days of age and redness values at 95 days of age in the LT muscle. However, Meng et al. (39) indicated that dietary probiotics addition could increase redness values but not lightness values, and Cheng et al. (4) reported that dietary synbiotics (including yeast cell wall, XOS, Clostridium butyricum, B. licheniformis, and B. subtilis) had no effect on redness and lightness values. These differences may be related to feeding stage, type, and dose of probiotics or synbiotics. Although maternal synbiotics addition partially improved the sense-impression of pork, the addition of maternal probiotics had no positive effect on meat color. However, further studies are needed to determine the exact reason for this finding.

After slaughter, the accumulation of lactic acid in the muscle due to glycolysis leads to decrease in pH, which is highly correlated with drip loss and shear force (41). Drip loss can reflect the water-holding capacity of muscle and is an important factor affecting meat quality (42), whereas shear force is correlated with meat tenderness (43). Previous studies have reported that the addition of L. plantarum ZJ316 to the diet of piglets improved meat quality by increasing pH45min value (44), and that B. coagulans addition affected meat quality by decreasing drip loss (45). Consistent with the above mentioned studies, our results showed that maternal probiotics addition increased pH45min value at 95 days of age and cooking yield at 65 days of age. Moreover, maternal probiotics and synbiotics addition decreased the drip loss at 65 days of age and shear force at 125 days of age. These findings suggest that the addition of maternal probiotics could decrease lactic acid accumulation by improving muscle glycolysis, and that the addition of maternal probiotics and synbiotics could increase water-holding capacity and cooking yield by reducing drip loss, cooking loss, and shear force, thereby improving meat quality. Maternal antibiotic addition had a negative effect on meat quality because of increased shear force of the LT muscle at 125 days of age.

Changes in the nutrient composition of muscular tissue, especially IMF and CP content, can directly affect the sensory properties and nutritional value of meat (46). The tenderness, juiciness, color, and flavor of meat are substantially improved with increase in IMF content (47). Moreover, higher IMF content can improve the taste of meat (43). In the present study, maternal synbiotics addition increased the IMF content of the LT muscle at 125 days of age, which is consistent with the change in shear force, because IMF content has a negative correlation with it (48). These findings suggest that maternal synbiotics supplementation can improve meat quality by improving its tenderness.

The composition of AAs in muscles can represent the protein quality and nutritional value of the meat (49). The present study showed that dietary probiotics and synbiotics addition significantly increased the TAA content in the LT muscle at 95 days of age, suggesting that the nutritional value of pork was improved by increasing AA deposition. Tang et al. (50) also reported that dietary supplementation with B. subtilis improved the meat protein quality and flavor of broilers. Several AAs play key roles in the aroma and flavor profiles of muscles (51). For example, Arg, Leu, Ile, Val, Phe, Met, and His induce a bitter taste; glutamate (Glu) and Asp induce a pleasant fresh taste; and Gly, Ala, and Ser induce a sweet taste (52). Our results showed that maternal probiotics addition increased His content at 65 days of age, whereas maternal synbiotics addition increased His and Ser content at 125 days of age in the LT muscle of the offspring pigs. Moreover, maternal probiotics and synbiotics addition increased Arg and Asp contents at 95 days of age, maternal probiotics addition increased Leu content, and maternal synbiotics addition increased Phe content at 125 days of age in the LT muscle of the offspring pigs, which could improve its flavor. Consistent with our findings, a previous study indicated that dietary C. butyricum addition improved the flavor of duck meat by altering the content of flavor-determining AAs (53).

Free AAs are the main direct source of AAs for muscle protein synthesis and are a key indicator of protein renewal (54). The plasma-free AA profile reflects the sum of the metabolic flow of nutrients and their metabolites in all tissues and organs (55). For example, Gly plays crucial roles in nutrition and metabolism, and protein synthesis accounts for 80% of the whole-body glycine requirement of growing animals (56). Branched-chain AAs, including Leu, Ile, and Val, affect the regulation of energy homeostasis and nutritional metabolism (57). In the present study, the addition of maternal probiotics decreased plasma Gly, Ile, and Leu concentrations at 65 days of age, and the addition of probiotics and synbiotics decreased plasma Ile, Leu, and Tau at 125 days of age, suggesting that protein breakdown was attenuated and AA deposition was promoted in the muscles. In addition, maternal probiotics supplementation decreased plasma Ala, Sar, and Tyr concentrations at 65 days of age, Car, His, and α-ABA concentrations at 95 days of age, and Asp, Ala, His, α-AAA, and β-Ala concentrations at 125 days of age, while probiotics and synbiotics addition decreased plasma Cit, α-AAA, β-Ala, β-AiBA, and γ-ABA concentrations at 95 days of age and Orn concentration at 125 days of age, suggesting that protein synthesis in the body was improved. However, the underlying mechanism requires further investigation.

ALT and AST activities can reflect the status of protein synthesis and catabolism, and increased activity is related to improvement of AA metabolism (58). AMM and UN concentrations accurately reflect the status of protein metabolism and AA balance. In the present study, maternal synbiotics addition increased ALT activity, while maternal probiotics addition decreased AMM concentration at 95 days of age. Maternal probiotics and synbiotics addition decreased UN concentration at 95 days of age and AMM concentration at 125 days of age, suggesting that AA balance and protein utilization in pigs were improved. These findings are consistent with the changes in plasma-free AA observed in the present study.

The rate of lipid utilization is reflected in TC, TG, HDL-C, and LDL-C levels (59). The plasma levels of LDH and GLU reflect energy and glucose metabolism, respectively. In the present study, maternal synbiotics addition increased HDL-C, LDL-C, and TC concentrations at 65 days of age and decreased TG concentration at 95 days of age; however, maternal antibiotic addition decreased the concentrations of LDL-C and TC at 65 days of age. Similarly, a previous study indicated that dietary supplementation with synbiotics composed of XOS, yeast cell wall, B. licheniformis, B. subtilis, and C. butyricum could regulate lipid metabolism by increasing HDL-C level and decreasing TG level in chickens (60). In addition, LDH activity was decreased in the probiotics group at 95 and 125 days of age, as well as GLU concentration in the synbiotics group at 65 days of age and in the probiotics and synbiotics groups at 95 days of age. These findings suggest that the addition of maternal probiotics and synbiotics improved lipid and glucose metabolism in the offspring, and that antibiotic addition had a negative effect on lipid metabolism.

FA composition profoundly affects the nutritional value, organoleptic properties, and eating quality of pork (61, 62). Our study showed that maternal probiotics addition increased C18:2n6c content at 65 days of age and MUFA and UFA contents at 95 days of age in the LT muscle. This was consistent with a previous study, which found that the addition of dietary L. amylovorus and Enterococcus faecium could increase muscular C18:2n6c, MUFA, and PUFA contents (63). These alterations indicate that the addition of maternal probiotics could improve the primary FA content in the muscle of offspring, which may be associated with favorable changes in the gut microbiota (64). The FA profiles of pork can be improved by increasing the UFA and decreasing the SFA content in the muscle (63). In the present study, the addition of maternal probiotics decreased the SFA content at 65 days of age, and the addition of probiotics and synbiotics increased the C16:l content at 95 days of age. These findings indicate that these additives could improve the nutritional value of meat and pork flavor of pigs, because SFA is negatively correlated with cardiovascular heart diseases (65), while C16:l content is positively correlated with meat flavor (66). In addition, the addition of maternal probiotics and synbiotics decreased the C18:1n9t content at 125 days of age. C18:1n9t is a trans-FA that has adverse effects on human health (67). Consequently, the addition of maternal probiotics and synbiotics can improve the meat quality and nutritional value of the offspring.

Muscle fiber type is mainly defined by MyHC isoforms (68), and fiber type composition is largely responsible for the determination of meat quality (69). Our study showed that maternal probiotics and synbiotics addition upregulated the expression of MyHC IIa, and that maternal probiotics addition upregulated the expression of MyHC I in 65-day-old pigs. Moreover, maternal synbiotics addition upregulated the expression of MyHC I in 95-day-old pigs and MyHC IIa in 125-day-old pigs, whereas it downregulated the expression of MyHC IIb and MyHC IIx in 65-day-old pigs. Higher proportion of MyHC I and MyHC IIa fibers is associated with excellent meat quality (70). The MRF gene family, including MyoD, MyoG, Myf5, and Myf6, plays a dominant role in the formation, maturation, and functional perfection of muscle fibers (71), the expression of which affects the expression of MyHC gene isoforms (72). MSTN, a negative regulator of myogenesis, plays an important role in muscle fiber conversion (73) and inhibits muscle growth and development (74). In the present study, the addition of maternal probiotics and synbiotics upregulated Myf5 and Myf6 mRNA level at 95 and 125 days of age, respectively, whereas synbiotics addition downregulated MSTN mRNA level at 95 days of age. Tian et al. (75) also showed that the dietary probiotic L. reuteri 1 upregulated the expression of MyHC I and MYOD and downregulated the expression of MyHC IIb. These findings suggest that the addition of maternal probiotics and synbiotics had positive effects on enhancing muscle growth and altering muscle fiber type composition.

Lipogenesis and lipolysis are major factors that affect fat accumulation in the muscle and adipose tissues. FASN and ACC modulate fat deposition by regulating FA synthesis (26), and SCD is involved in FA biosynthesis and composition in animals (76). In the present study, the addition of maternal probiotics and synbiotics upregulated FASN mRNA level in 95-day-old pigs and ACC mRNA level in 65- and 95-day-old pigs. Maternal synbiotics addition upregulated SCD mRNA level in 95-day-old pigs and ACC mRNA level in 125-day-old pigs in the LT muscle, suggesting that fat deposition was improved. In addition, the addition of maternal probiotics and synbiotics downregulated SCD mRNA level in 65-day-old pigs. However, further studies are required to clarify the exact mechanisms of action. LPL, a critical lipid uptake gene, encodes a protein that participates in the process of fatty acid flux in adipocytes clustered along myofiber fasciculi in muscles and then provides an appropriate substrate for IMF synthesis (77). The expression of FASN, SCD, and LPL is positively associated with IMF deposition (78). Our results demonstrate that the addition of maternal probiotics and synbiotics had beneficial effects on IMF deposition by upregulating LPL mRNA expression at 95 and 125 days of age. This was consistent with the increased IMF content in the LT muscle in the present study. Moreover, LIPE participates in lipolysis and is negatively correlated with IMF deposition (78). Our results also showed that maternal antibiotic addition upregulated the expression levels of FASN, LPL, SCD, ACC, and LIPE in the offspring at 125 days of age, suggesting that antibiotic addition has adverse effects on lipid metabolism in the LT muscle. These findings are consistent with those of a previous study, which reported that L. reuteri 1 was maintained IMF by inducing higher lipogenic rate and lower lipolytic rate than antibiotics (75).

Conclusion

In summary, the addition of maternal synbiotics improved feed intake, whereas that of antibiotic showed adverse effects on the feed intake of the during at 66–95 days of age. Maternal probiotics and synbiotics can increase the meat quality of offspring by improving the composition of muscle fibers, growth, and nutrient metabolism. However, maternal antibiotic addition had adverse effects on lipid metabolism of the LT muscle of the offspring pigs at different stages. Collectively, the addition of maternal probiotics and synbiotics, as a nutritional intervention strategy, improved the feed intake and meat quality in some contexts by altering metabolism and gene expression related to the meat quality of offspring pigs.

Data Availability Statement

The original contributions presented in the study are included in the article/Supplementary Material, further inquiries can be directed to the corresponding author/s.

Ethics Statement

The animal study was reviewed and approved by the Animal Care and Use Committee of the Institute of Subtropical Agriculture, Chinese Academy of Science.

Author Contributions

XK and YY conceived and designed the experiments and revised the manuscript. QZ, MS, MA, and CM performed the animal feeding experiments, sample collection, and sample analysis. QZ analyzed the data and wrote the manuscript. All the authors have read and approved the final version of the manuscript.

Funding

This study was jointly supported by the National Natural Science Foundation of China (31772613), Special Funds for Construction of Innovative Provinces in Hunan Province (2019RS3022), and the Industry and Research Talent Support Project of Wang Kuancheng of the Chinese Academy of Sciences.

Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. The reviewer JJ declared a shared affiliation with the authors to the handling editor at the time of review.

Publisher's Note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Acknowledgments

We thank all the staff and postgraduate students of the Hunan Provincial Key Laboratory of Animal Nutritional Physiology and Metabolic Process for feeding the animals and sample collection, and technicians from the CAS Key Laboratory of Agro-ecological Processes in the Subtropical Region for providing technical assistance. We would like to thank Editage (www.editage.cn) for English language editing.

Supplementary Material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fvets.2022.779745/full#supplementary-material

References

  • 1.Prakash S, Rodes L, Coussa-Charley M, Tomaro-Duchesneau C. Gut microbiota: next frontier in understanding human health and development of biotherapeutics. Biologics. (2011) 5:71–86. 10.2147/BTT.S19099 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Schrezenmeir J, de Vrese M. Probiotics, prebiotics, and synbiotics–approaching a definition. Am J Clin Nutr. (2001) 73:361S−4. 10.1093/ajcn/73.2.361s [DOI] [PubMed] [Google Scholar]
  • 3.Chen YM, Wei L, Chiu YS, Hsu YJ, Tsai TY, Wang MF, et al. Lactobacillus plantarum TWK10 supplementation improves exercise performance and increases muscle mass in mice. Nutrients. (2016) 8:205. 10.3390/nu8040205 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Cheng YF, Chen YP, Du MF, Wen C, Zhou YM. Evaluation of dietary synbiotic supplementation on growth performance, muscle antioxidant ability and mineral accumulations, and meat quality in late-finishing pigs. Kafkas Univ Vet Fak Derg. (2018) 24:673–9. 10.9775/kvfd.2018.19713 [DOI] [Google Scholar]
  • 5.Rybarczyk A, Boguslawska-Was E, Pilarczyk B. Carcass and pork quality and gut environment of pigs fed a diet supplemented with the bokashi probiotic. Animals. (2021) 11:3590. 10.3390/ani11123590 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Balasubramanian B, Lee SI, Kim I. H. Inclusion of dietary multi-species probiotic on growth performance, nutrient digestibility, meat quality traits, faecal microbiota and diarrhoea score in growing-finishing pigs. Ital J Anim Sci. (2018) 17:100–6. 10.1080/1828051x.2017.1340097 [DOI] [Google Scholar]
  • 7.Baker AA, Davis E, Spencer JD, Moser R, Rehberger T. The effect of a Bacillus-based direct-fed microbial supplemented to sows on the gastrointestinal microbiota of their neonatal piglets. J Anim Sci. (2013) 91:3390–9. 10.2527/jas.2012-5821 [DOI] [PubMed] [Google Scholar]
  • 8.Yin J, Li FN, Kong XF, Wen CY, Guo QP, Zhang LY, et al. Dietary xylo-oligosaccharide improves intestinal functions in weaned piglets. Food Funct. (2019) 10:2701–9. 10.1039/c8fo02485e [DOI] [PubMed] [Google Scholar]
  • 9.Oksbjerg N, Krogh U, Jensen JA, Møller HS, Ramaekers P, Rasmussen MK, et al. Supplementation of sows with-arginine during gestating and lactation affects muscle traits of offspring related with postnatal growth and meat quality: From conception to consumption. Meat Sci. (2019) 152:58–64. 10.1016/j.meatsci.2019.02.004 [DOI] [PubMed] [Google Scholar]
  • 10.Zhao Y, Jin C, Xuan Y, Zhou P, Fang Z, Che L, et al. Effect of maternal or post-weaning methyl donor supplementation on growth performance, carcass traits, and meat quality of pig offspring. J Sci Food Agric. (2019) 99:2096–107. 10.1002/jsfa.9402 [DOI] [PubMed] [Google Scholar]
  • 11.Stickland NC, Handel SE. The numbers and types of muscle fibres in large and small breeds of pigs. J Anat. (1986) 147:181–9. [PMC free article] [PubMed] [Google Scholar]
  • 12.Du M, Zhao JX, Yan X, Huang Y, Nicodemus LV, Yue W, et al. Fetal muscle development, mesenchymal multipotent cell differentiation, and associated signaling pathways. J Anim Sci. (2011) 89:583–90. 10.2527/jas.2010-3386 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Crespo-Piazuelo D, Gardiner GE, Ranjitkar S, Bouwhuis MA, Ham R, Phelan JP, et al. Maternal supplementation with Bacillus altitudinis spores improves porcine offspring growth performance and carcass weight. Br J Nutr. (2022) 127:403–20. 10.1017/S0007114521001203 [DOI] [PubMed] [Google Scholar]
  • 14.Shen YB, Fellner V, Yoon I, Kim SW. Effects of dietary supplementation of Saccharomyces cerevisiae fermentation product to sows and their offspring on growth and meat quality. Transl Anim Sci. (2017) 1:45–53. 10.2527/tas2016.0005 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Ma C, Gao QK, Zhang WH, Zhu Q, Tang W, Blachier F, et al. Supplementing synbiotic in sows' diets modifies beneficially blood parameters and colonic microbiota composition and metabolic activity in suckling piglets. Front Vet Sci. (2020) 7:575685. 10.3389/fvets.2020.575685 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Ma C, Zhang WH, Gao QK, Zhu Q, Song MT, Ding H, et al. Dietary synbiotic alters plasma biochemical parameters and fecal microbiota and metabolites in sows. J Funct Food. (2020) 75:104221. 10.1016/j.jff.2020.104221 [DOI] [Google Scholar]
  • 17.Gong HF, Xiao SJ, Li WB, Huang T, Huang XC, Yan GR, et al. Unravelling the genetic loci for growth and carcass traits in Chinese Bamaxiang pigs based on a 1.4 million SNP array. J Anim Breed Genet. (2019) 136:3–14. 10.1111/jbg.12365 [DOI] [PubMed] [Google Scholar]
  • 18.Cai Q, Hu C, Tang W, Jiang H, Geng M, Huang X, et al. Dietary addition with and xylo-oligosaccharides improves carcass trait and meat quality of Huanjiang mini-pigs. Front Nutr. (2021) 8:748647. 10.3389/fnut.2021.748647 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.NPPC . National Pork Producers Council. Procedures to Evaluate Market Hogs (3rd ed.). Des Moines, IA: National Pork Producers Council; (1911). [Google Scholar]
  • 20.Honikel K. Reference methods for the assessment of physical characteristics of meat. Meat Sci. (1998) 49:447–57. 10.1016/s0309-1740(98)00034-5 [DOI] [PubMed] [Google Scholar]
  • 21.Yu M, Li ZM, Chen WD, Rong T, Wang G, Li JH, et al. Use of Hermetia illucens larvae as a dietary protein source: Effects on growth performance, carcass traits, and meat quality in finishing pigs. Meat Sci. (2019) 158:107837. 10.1016/j.meatsci.2019.05.008 [DOI] [PubMed] [Google Scholar]
  • 22.AOAC . Official Methods of Analysis. 16th ed. Gaithersburg: Assoc Off Anal Chem Int; (1996). [Google Scholar]
  • 23.Novakofski J, Park S, Bechtel PJ, McKeith FK. Composition of cooked pork chops - effect of removing subcutaneous fat before cooking. J Food Sci. (1989) 54:15–7. 10.1111/j.1365-2621.1989.tb08556.x [DOI] [Google Scholar]
  • 24.Liu YY, Li FN, Kong XF, Tan B, Li YH, Duan YH, et al. Signaling pathways related to protein synthesis and amino acid concentration in pig skeletal muscles depend on the dietary protein level, genotype and developmental stages. PLoS ONE. (2015) 10:e0138277. 10.1371/journal.pone.0138277 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Kong XF, Yin FG, He QH, Liu HJ, Li TJ, Huang RL, et al. Acanthopanax senticosus extract as a dietary additive enhances the apparent ileal digestibility of amino acids in weaned piglets. Livest Sci. (2009) 123:261–7. 10.1016/j.livsci.2008.11.015 [DOI] [Google Scholar]
  • 26.Liu YY, Li FN, He LY, Tan B, Deng JP, Kong XF, et al. Dietary protein intake affects expression of genes for lipid metabolism in porcine skeletal muscle in a genotype-dependent manner. Br J Nutr. (2015) 113:1069–77. 10.1017/s0007114514004310 [DOI] [PubMed] [Google Scholar]
  • 27.Schmittgen TD, Livak KJ. Analyzing real-time PCR data by the comparative C(T) method. Nat Protoc. (2008) 3:1101–8. 10.1038/nprot.2008.73 [DOI] [PubMed] [Google Scholar]
  • 28.Guerra-Ordaz AA, González-Ortiz G, La Ragione RM, Woodward MJ, Collins JW, Pérez JF, et al. Lactulose and Lactobacillus plantarum, a potential complementary synbiotic to control postweaning colibacillosis in piglets. Appl Environ Microbiol. (2014) 80:4879–86. 10.1128/AEM.00770-14 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Martinez RCR, Cardarelli HR, Borst W, Albrecht S, Schols H, Gutiérrez OP, et al. Effect of galactooligosaccharides and Bifidobacterium animalis Bb-12 on growth of Lactobacillus amylovorus DSM 16698, microbial community structure, and metabolite production in an in vitro colonic model set up with human or pig microbiota. FEMS Microbiol Ecol. (2013) 84:110–23. 10.1111/1574-6941.12041 [DOI] [PubMed] [Google Scholar]
  • 30.Yang CM, Ferket PR, Hong QH, Zhou J, Cao GT, Zhou L, et al. Effect of chito-oligosaccharide on growth performance, intestinal barrier function, intestinal morphology and cecal microflora in weaned pigs. J Anim Sci. (2012) 90:2671–6. 10.2527/jas.2011-4699 [DOI] [PubMed] [Google Scholar]
  • 31.Markowiak P, Slizewska K. The role of probiotics, prebiotics and synbiotics in animal nutrition. Gut Pathog. (2018) 10:21. 10.1186/s13099-018-0250-0 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Wang J, Ji HF, Wang SX, Zhang DY, Liu H, Shan DC, et al. Lactobacillus plantarum ZLP001: In vitro assessment of antioxidant capacity and effect on growth performance and antioxidant status in weaning piglets. Asian-Australas J Anim Sci. (2012) 25:1153–8. 10.5713/ajas.2012.12079 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Tufarelli V, Crovace AM, Rossi G, Laudadio V. Effect of a dietary probiotic blend on performance, blood characteristics, meat quality and faecal microbial shedding in growing-finishing pigs. S Afr J Anim Sci. (2017) 47:875–82. 10.4314/sajas.v47i6.15 [DOI] [Google Scholar]
  • 34.Bergamaschi M, Tiezzi F, Howard J, Huang YJ, Gray KA, Schillebeeckx C, et al. Gut microbiome composition differences among breeds impact feed efficiency in swine. Microbiome. (2020) 8:110. 10.1186/s40168-020-00888-9 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Amir M, Brown JA, Rager SL, Sanidad KZ, Ananthanarayanan A, Zeng MY. Maternal microbiome and infections in pregnancy. Microorganisms. (2020) 8:1996. 10.3390/microorganisms8121996 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Lemas DJ, Yee S, Cacho N, Miller D, Cardel M, Gurka M, et al. Exploring the contribution of maternal antibiotics and breastfeeding to development of the infant microbiome and pediatric obesity. Semin Fetal Neonatal Med. (2016) 21:406–9. 10.1016/j.siny.2016.04.013 [DOI] [PubMed] [Google Scholar]
  • 37.Pan J, Han L, Zhang T, Xie PF, Ding H, Kong XF, et al. Effects of xylo-oligosaccharide on growth performance, carcass traits and meat quality in growing-finishing pigs. Chin J Anim Nutr. (2017) 29:2475–81. 10.3969/j.issn.1006-267x.2017.07.032 [DOI] [Google Scholar]
  • 38.Xing TJ, Han L, Xie PF, Kong XF, Ding H, Fang RJ. Effects of dietary supplementation with xylo-oligosaccharide on plasma biochemical parameters and meat quality in finishing pigs. Chin J Anim Nutr. (2018) 54:94–9. 10.19556/j.0258-7033.2018-09-094 [DOI] [Google Scholar]
  • 39.Meng QW, Yan L, Ao X, Zhou TX, Wang JP, Lee JH, et al. Influence of probiotics in different energy and nutrient density diets on growth performance, nutrient digestibility, meat quality, and blood characteristics in growing-finishing pigs. J Anim Sci. (2010) 88:3320–6. 10.2527/jas.2009-2308 [DOI] [PubMed] [Google Scholar]
  • 40.Martins JM, Fialho R, Albuquerque A, Neves J, Freitas A, Nunes JT, et al. Growth, blood, carcass and meat quality traits from local pig breeds and their crosses. Animal. (2020) 14:636–47. 10.1017/s1751731119002222 [DOI] [PubMed] [Google Scholar]
  • 41.Jiang SW, Liu YS, Shen ZL, Zhou B, Shen QW. Acetylome profiling reveals extensive involvement of lysine acetylation in the conversion of muscle to meat. J Proteomics. (2019) 205:103412. 10.1016/j.jprot.2019.103412 [DOI] [PubMed] [Google Scholar]
  • 42.Liu X, Kim SH, Kim IH. Effects of the combination of multistrain probiotics and Castanea crenata shell extract on growth performance, nutrient digestibility, fecal microbial shedding, meat quality, noxious gas emissions, and blood parameters in finishing pigs. Livest Sci. (2020) 240:104185. 10.1016/j.livsci.2020.104185 [DOI] [Google Scholar]
  • 43.Wood JD, Nute GR, Richardson RI, Whittington FM, Southwood O, Plastow G, et al. Effects of breed, diet and muscle on fat deposition and eating quality in pigs. Meat Sci. (2004) 67:651–67. 10.1016/j.meatsci.2004.01.007 [DOI] [PubMed] [Google Scholar]
  • 44.Suo C, Yin Y, Wang X, Lou X, Song D, Wang X, et al. Effects of Lactobacillus plantarum ZJ316 on pig growth and pork quality. BMC Vet Res. (2012) 8:89. 10.1186/1746-6148-8-89 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45.Zhou X, Wang Y, Gu Q, Li W. Effect of dietary probiotic, Bacillus coagulans, on growth performance, chemical composition, and meat quality of Guangxi Yellow chicken. Poult Sci. (2010) 89:588–93. 10.3382/ps.2009-00319 [DOI] [PubMed] [Google Scholar]
  • 46.Fernandez X, Monin G, Talmant A, Mourot J, Lebret B. Influence of intramuscular fat content on the quality of pig meat – 1. Composition of the lipid fraction and sensory characteristics of m. longissimus lumborum. Meat Sci. (1999) 53:59–65. 10.1016/s0309-1740(99)0003-6 [DOI] [PubMed] [Google Scholar]
  • 47.Fernandez X, Monin G, Talmant A, Mourot J, Lebret B. Influence of intramuscular fat content on the quality of pig meat – 2. Consumer acceptability of m. longissimus lumborum. Meat Sci. (1999) 53:67–72. 10.1016/s0309-1740(99)00038-8 [DOI] [PubMed] [Google Scholar]
  • 48.Karlsson A, Enfält AC, Essén-Gustavsson B, Lundström K, Rydhmer L, Stern S. Muscle histochemical and biochemical properties in relation to meat quality during selection for increased lean tissue growth rate in pigs. J Anim Sci. (1993) 71:930–8. 10.2527/1993.714930x [DOI] [PubMed] [Google Scholar]
  • 49.Yu M, Li Z, Rong T, Wang G, Liu Z, Chen W, et al. Different dietary starch sources alter the carcass traits, meat quality, and the profile of muscle amino acid and fatty acid in finishing pigs. J Anim Sci Biotechnol. (2020) 11:78. 10.1186/s40104-020-00484-9 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 50.Tang X, Liu X, Liu H. Effects of dietary probiotic (Bacillus subtilis) supplementation on carcass traits, meat quality, amino acid, and fatty acid profile of broiler chickens. Front Vet Sci. (2021) 8:767802. 10.3389/fvets.2021.767802 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 51.Hu CJ, Jiang QY, Zhang T, Yin YL, Li FN, Deng JP, et al. Dietary supplementation with arginine and glutamic acid modifies growth performance, carcass traits, and meat quality in growing-finishing pigs. J Anim Sci. (2017) 95:2680–9. 10.2527/jas.2017.1388 [DOI] [PubMed] [Google Scholar]
  • 52.Lorenzo JM, Franco D. Fat effect on physico-chemical, microbial and textural changes through the manufactured of dry-cured foal sausage Lipolysis, proteolysis and sensory properties. Meat Sci. (2012) 92:704–14. 10.1016/j.meatsci.2012.06.026 [DOI] [PubMed] [Google Scholar]
  • 53.Liu YH, Li YY, Feng XC, Wang Z, Xia ZF. Dietary supplementation with Clostridium butyricum modulates serum lipid metabolism, meat quality, and the amino acid and fatty acid composition of Peking ducks. Poult Sci. (2018) 97:3218–29. 10.3382/ps/pey162 [DOI] [PubMed] [Google Scholar]
  • 54.Ren M, Zhang SH, Zeng XF, Liu H, Qiao SY. Branched-chain amino acids are beneficial to maintain growth performance and intestinal immune-related function in weaned piglets fed protein restricted diet. Asian-Australas J Anim Sci. (2015) 28:1742–50. 10.5713/ajas.14.0131 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 55.Liao SF, Wang T, Regmi N. Lysine nutrition in swine and the related monogastric animals: muscle protein biosynthesis and beyond. Springerplus. (2015) 4:147. 10.1186/s40064-015-0927-5 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 56.Wang W, Wu Z, Dai Z, Yang Y, Wang J, Wu G. Glycine metabolism in animals and humans: implications for nutrition and health. Amino Acids. (2013) 45:463–77. 10.1007/s00726-013-1493-1 [DOI] [PubMed] [Google Scholar]
  • 57.Nie CX, He T, Zhang WJ, Zhang GL, Ma X. Branched chain amino acids: beyond nutrition metabolism. Int J Mol Sci. (2018) 19:954. 10.3390/ijms19040954 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 58.Liu Y, Kong X, Jiang G, Tan BE, Deng J, Yang X, et al. Effects of dietary protein/energy ratio on growth performance, carcass trait, meat quality, and plasma metabolites in pigs of different genotypes. J Anim Sci Biotechnol. (2015) 6:435–44. 10.1186/s40104-015-0036-x [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 59.Cui L, Wang H, Ding Y, Li J, Li J. Changes in the blood routine, biochemical indexes and the pro-inflammatory cytokine expressions of peripheral leukocytes in postpartum dairy cows with metritis. BMC Vet Res. (2019) 15:157. 10.1186/s12917-019-1912-y [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 60.Li J, Cheng YF, Chen YP, Qu HM, Zhao YR, Wen C, et al. Effects of dietary synbiotic supplementation on growth performance, lipid metabolism, antioxidant status, and meat quality in Partridge shank chickens. J Appl Anim Res. (2019) 47:586–90. 10.1080/09712119.2019.1693382 [DOI] [PubMed] [Google Scholar]
  • 61.Wood JD, Richardson RI, Nute GR, Fisher AV, Campo MM, Kasapidou E, et al. Effects of fatty acids on meat quality: a review. Meat Sci. (2004) 66:21–32. 10.1016/S0309-1740(03)00022-6 [DOI] [PubMed] [Google Scholar]
  • 62.Aboagye G, Zappaterra M, Pasini F, Dall'Olio S, Davoli R, Costa LN. Fatty acid composition of the intramuscular fat in the longissimus thoracis muscle of Apulo-Calabrese and crossbreed pigs. Livest Sci. (2020) 232:103878. 10.1016/j.livsci.2019.103878 [DOI] [Google Scholar]
  • 63.Ross GR, Van Nieuwenhove CP, González SN. Fatty acid profile of pig meat after probiotic administration. J Agric Food Chem. (2012) 60:5974–8. 10.1021/jf205360h [DOI] [PubMed] [Google Scholar]
  • 64.Li X, Cao ZH, Yang YT, Chen L, Liu JP, Lin QY, et al. Correlation between jejunal microbial diversity and muscle fatty acids deposition in broilers reared at different ambient temperatures. Sci Rep. (2019) 9:11022. 10.1038/s41598-019-47323-0 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 65.Cheng CS, Liu ZH, Zhou YF, Wei HK, Zhang XM, Xia M, et al. Effect of oregano essential oil supplementation to a reduced-protein, amino acid-supplemented diet on meat quality, fatty acid composition, and oxidative stability of Longissimus thoracis muscle in growing-finishing pigs. Meat Sci. (2017) 133:103–9. 10.1016/j.meatsci.2017.06.011 [DOI] [PubMed] [Google Scholar]
  • 66.Cameron ND, Enser M, Nute GR, Whittington FM, Penman JC, Fisken AC, et al. Genotype with nutrition interaction on fatty acid composition of intramuscular fat and the relationship with flavour of pig meat. Meat Sci. (2000) 55:187–95. 10.1016/s0309-1740(99)00142-4 [DOI] [PubMed] [Google Scholar]
  • 67.Li XP, Luo T, Li J, Fan YW, Liu R, Hu JN, et al. Linolelaidic acid induces a stronger proliferative effect on human umbilical vein smooth muscle cells compared to elaidic acid. Lipids. (2013) 48:395–403. 10.1007/s11745-012-3754-2 [DOI] [PubMed] [Google Scholar]
  • 68.Lefaucheur L, Ecolan P, Plantard L, Gueguen N. New insights into muscle fiber types in the pig. J Histochem Cytochem. (2002) 50:719–30. 10.1177/002215540205000513 [DOI] [PubMed] [Google Scholar]
  • 69.Fazarinc G, Vrecl M, Poklukar K, Škrlep M, Batorek-Lukač N, Brankovič J, et al. Expression of myosin heavy chain and some energy metabolism-related genes in the longissimus dorsi muscle of krškopolje pigs: effect of the production system. Front Vet Sci. (2020) 7:533936. 10.3389/fvets.2020.533936 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 70.Luo P, Luo L, Zhao W, Wang L, Sun L, Wu H, et al. Dietary thymol supplementation promotes skeletal muscle fibre type switch in longissimus dorsi of finishing pigs. J Anim Physiol Anim Nutr. (2020) 104:570–8. 10.1111/jpn.13269 [DOI] [PubMed] [Google Scholar]
  • 71.Chargé SBP, Rudnicki MA. Cellular and molecular regulation of muscle regeneration. Physiol Rev. (2004) 84:209–38. 10.1152/physrev.00019.2003 [DOI] [PubMed] [Google Scholar]
  • 72.Willoughby DS, Nelson MJ. Myosin heavy-chain mRNA expression after a single session of heavy-resistance exercise. Med Sci Sports Exerc. (2002) 34:1262–9. 10.1097/00005768-200208000-00006 [DOI] [PubMed] [Google Scholar]
  • 73.Ying F, Zhang L, Bu G, Xiong Y, Zuo B. Muscle fiber-type conversion in the transgenic pigs with overexpression of PGC1α gene in muscle. Biochem Biophys Res Commun. (2016) 480:669–74. 10.1016/j.bbrc.2016.10.113 [DOI] [PubMed] [Google Scholar]
  • 74.Langley B, Thomas M, Bishop A, Sharma M, Gilmour S, Kambadur R. Myostatin inhibits myoblast differentiation by down-regulating MyoD expression. J Biol Chem. (2002) 277:49831–40. 10.1074/jbc.M204291200 [DOI] [PubMed] [Google Scholar]
  • 75.Tian ZM, Cui YY, Lu HJ, Wang G, Ma XY. Effect of long-term dietary probiotic Lactobacillus reuteri 1 or antibiotics on meat quality, muscular amino acids and fatty acids in pigs. Meat Sci. (2021) 171:108234. 10.1016/j.meatsci.2020.108234 [DOI] [PubMed] [Google Scholar]
  • 76.Kucharski M, Kaczor U. Desaturaza stearylo-CoA – regulator metabolizmu lipidów Stearoyl-CoA desaturase—the lipid metabolism regulator. Adv Hyg Exp Med. (2014) 68:334–42. 10.5604/17322693.1095856 [DOI] [PubMed] [Google Scholar]
  • 77.Jeong J, Kwon EG, Im SK, Seo KS, Baik M. Expression of fat deposition and fat removal genes is associated with intramuscular fat content in longissimus dorsi muscle of Korean cattle steers. J Anim Sci. (2012) 90:2044–53. 10.2527/jas.2011-4753 [DOI] [PubMed] [Google Scholar]
  • 78.Zappaterra M, Deserti M, Mazza R, Braglia S, Zambonelli P, Davoli R. A gene and protein expression study on four porcine genes related to intramuscular fat deposition. Meat Sci. (2016) 121:27–32. 10.1016/j.meatsci.2016.05.007 [DOI] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Data Availability Statement

The original contributions presented in the study are included in the article/Supplementary Material, further inquiries can be directed to the corresponding author/s.


Articles from Frontiers in Veterinary Science are provided here courtesy of Frontiers Media SA

RESOURCES