| Literature DB >> 34903775 |
Ke Ji1, Hualiang Liang2, Mingchun Ren3,4, Xianping Ge5,6, Liangkun Pan2, Heng Yu1.
Abstract
A 75-day rearing trial was designed to study the response of juvenile Megalobrama amblycephala to dietary methionine (Met) levels. Three practical diets with graded Met levels (0.40%, 0.84% and 1.28% dry matter) were prepared to feed the juvenile fish. The results showed that the 0.84% Met diet significantly improved the growth compared with 0.40% diets. Compared with 0.84% and 1.28% Met, 0.40% Met significantly increased the hepatic lipid content, while decreasing the muscular lipid and glycogen contents. 0.40% Met decreased the protein levels of phospho-Eukaryotic initiation factor 4E binding protein-1 (p-4e-bp1), 4e-bp1 and Ribosomal protein S6 kinase 1 in the liver, compared with 0.84% diet, while an increasing trend was observed in the muscle. Met supplementation tended to decrease and increase lipid synthesis in the liver and muscle, respectively, via changing mRNA levels of sterol regulatory element-binding protein 1, fatty acid synthetase and acetyl-CoA carboxylase. 1.28% dietary Met promoted fatty acid β-oxidation and lipolysis in both the liver and muscle by increasing carnitine palmitoyl transferase 1, peroxisome proliferator activated receptor alpha, lipoprotein lipase and lipase mRNA levels. Compared with 0.40% and 0.84% dietary Met, 1.28% Met enhanced the mRNA levels of hepatic gluconeogenesis related genes phosphoenolpyruvate carboxykinase (pepck), and glucose-6-phosphatase, and muscular glycolysis related genes phosphofructokinase (pfk), and pyruvate kinase (pk). The mRNA levels of hepatic pfk, pk and glucokinase were markedly downregulated by 1.28% Met compared with 0.84% level. Muscular pepck, glycogen synthase, and hepatic glucose transporters 2 mRNA levels were induced by 1.28% Met. Generally, deficient Met level decreased the growth of juvenile Megalobrama amblycephala, and the different nutrient metabolism responses to dietary Met were revealed in the liver and muscle.Entities:
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Year: 2021 PMID: 34903775 PMCID: PMC8668952 DOI: 10.1038/s41598-021-03084-3
Source DB: PubMed Journal: Sci Rep ISSN: 2045-2322 Impact factor: 4.379
The effects of dietary methionine levels on the growth performance of juvenile blunt snout bream (Megalobrama amblycephala) (means ± SEM)1.
| Dietary Met levels (%) | IBW2 (g) | FBW3 (g) | FCR4 | SGR5 (%/day) | WGR6 (%) |
|---|---|---|---|---|---|
| 0.40 | 4.38 ± 0.01 | 44.60 ± 0.17a | 0.92 ± 0.02b | 3.10 ± 0.01a | 918.97 ± 6.33a |
| 0.84 | 4.35 ± 0.01 | 51.41 ± 0.25c | 0.82 ± 0.01a | 3.29 ± 0.01c | 1081.02 ± 5.85c |
| 1.28 | 4.37 ± 0.01 | 46.90 ± 0.40b | 0.87 ± 0.01ab | 3.17 ± 0.01b | 977.55 ± 9.81b |
1All data are mean value of three replicates ± SEM (n = 3). Means in the same column with different superscripts “a, b, c” are significantly different (P < 0.05).
2IBW: initial body weight.
3FBW: final body weight.
4Feed conversion ratio (FCR).
5Specific growth rate (SGR, %/day).
6Weight gain rate (WGR, %).
Effects of dietary methionine levels on whole body composition of blunt snout bream (Megalobrama amblycephala) (Means ± SEM)1.
| Index | Dietary Met levels (%) | ||
|---|---|---|---|
| 0.40 | 0.84 | 1.28 | |
| Moisture | 73.05 ± 0.25 | 73.64 ± 0.22 | 73.61 ± 0.05 |
| Protein | 16.30 ± 0.10 | 16.67 ± 0.20 | 16.53 ± 0.11 |
| Lipid | 6.56 ± 0.05 | 6.27 ± 0.04 | 6.27 ± 0.11 |
| Ash | 3.49 ± 0.16 | 3.21 ± 0.04 | 3.43 ± 0.03 |
| Liver | 5.02 ± 0.41b | 3.65 ± 0.31a | 3.72 ± 0.27a |
| Muscle | 0.52 ± 0.05a | 0.81 ± 0.06b | 0.87 ± 0.06b |
1All data are mean value of three replicates ± SEM (n = 3). Means in the same column with different superscripts “a, b” are significantly different (P < 0.05).
Figure 1The plasma parameters in juvenile Megalobrama amblycephala fed grade methionine level diets. Data are expressed as means with SEM (n = 9). Values with different letters in lower case are significantly different (P < 0.05). GLU glucose, TC total triglyceride, TG total cholesterol.
Figure 2The glycogen contents in the liver and muscle of juvenile Megalobrama amblycephala fed grade methionine level diets. Data are expressed as means with SEM (n = 12). Values with different letters in lower case are significantly different (P < 0.05).
Figure 3TOR and PI3K signaling in the liver and muscle of juvenile Megalobrama amblycephala fed grade methionine level diets. The protein levels and/or phosphorylation of 4e-bp1, S6k1, Pi3k and Akt were examined by western blots (a) and quantitated in the liver (b) and muscle (c). mRNA levels of TOR signaling were quantified in the liver and muscle (d). Data are expressed as means with SEM (n = 12). Values with different letters in lower case are significantly different (P < 0.05). The blots were cut prior to hybridization with antibodies, original blots are presented in Supplementary Figs. S1–S7. tor, target of rapamycin; 4e-bp1, eukaryotic initiation factor 4e binding protein-1; S6k1, ribosomal protein s6 kinase 1; Pi3k, phosphatidylinositol 3-kinase; Akt, protein kinase b.
Figure 4Lipid metabolism gene mRNA levels in the liver (a) and muscle (b) of juvenile Megalobrama amblycephala fed graded methionine level diets. Data are expressed as means with SEM (n = 12). Values with different letters in lower case are significantly different (P < 0.05). srebp1, sterol regulatory element-binding protein 1; acc, acetyl-coa carboxylase; fas, fatty acid synthetase; cpt1, carnitine palmitoyl transferase 1; pparα, peroxisome proliferator activated receptor alpha; lp, lipase; lpl, lipoprotein lipase; g6pd, glucose-6-phosphate dehydrogenase.
Figure 5Glucose metabolism related genes mRNA levels in the liver (a) and muscle (b) of juvenile Megalobrama amblycephala fed graded methionine diets. Data are expressed as means with SEM (n = 12). Values with different letters in lower case are significantly different (P < 0.05). gk, glucokinase; pk, pyruvate kinase; pfk, phosphofructokinase; pepck, phosphoenolpyruvate carboxykinase; fbp, fructose-1,6-biphosphatase; g6pase, glucose-6-phosphatase; glut2, glucose transporters 2; glut4, glucose transporters 4; gs, glycogen synthase.
Figure 6Scheme summarizing the nutrient metabolism in response to dietary methionine levels in juvenile Megalobrama amblycephala. Tor, target of rapamycin; 4e-bp1, eukaryotic initiation factor 4E binding protein-1; S6k1, ribosomal protein S6 kinase 1; Pi3k, phosphatidylinositol 3-kinase; Akt, protein kinase B; srebp1, sterol regulatory element-binding protein 1; acc, acetyl-coa carboxylase; fas, fatty acid synthetase; cpt1, carnitine palmitoyl transferase 1; pparα, peroxisome proliferator activated receptor alpha; gk, glucokinase; pk, pyruvate kinase; pfk, phosphofructokinase; pepck, phosphoenolpyruvate carboxykinase; g6pase, glucose-6-phosphatase.
Ingredient and proximate composition of basal diets (% dry basis).
| Ingredients (%) | |||
|---|---|---|---|
| Fish meal | 2 | Choline chloride | 0.1 |
| Rapeseed meal | 12 | Ethoxy quinoline | 0.01 |
| Soybean meal | 30 | Bentonite | 2 |
| Wheat meal | 28 | Amino acid premix | 5.72 |
| Rice bran | 12.78 | Glycine | 0.84 |
| Soybean oil | 1.5 | 0a | |
| Soybean phospholipid | 1 | ||
| Vitamin C | 0.05 | Protein (%) | 35 |
| Vitamin and mineral premix | 1 | Lipid (%) | 8 |
| Monocalcium phosphate | 3 | Energy (KJ/g) | 18.7 |
The basal diet in this experiment was referred to our previous study[3].
al-Methionine supplementation (0, 0.42%, 0.84%) was used to meet the graded methionine levels (0.40%, 0.84%, 1.28%), and Glycine was used to balance methionine supplementation.
Amino acids composition of ingredient (% dry basis).
| Amino acids | 2% | 12% | 30% | 28% | 12.78% | CAPPf | Total | 34% WBPg |
|---|---|---|---|---|---|---|---|---|
| FMa | RMb | SMc | WMd | RBe | ||||
| Arginine | 0.08 | 0.30 | 1.12 | 0.14 | 0.15 | 0.22 | 2.01 | 2.01 |
| Histidine | 0.03 | 0.13 | 0.40 | 0.08 | 0.05 | 0.07 | 0.76 | 0.76 |
| Isoleucine | 0.06 | 0.20 | 0.72 | 0.13 | 0.07 | 0.33 | 1.49 | 1.49 |
| Leucine | 0.10 | 0.35 | 1.18 | 0.25 | 0.13 | 0.40 | 2.40 | 2.40 |
| Lysine | 0.10 | 0.27 | 0.94 | 0.08 | 0.09 | 0.96 | 2.44 | 2.44 |
| Methionine | 0.04 | 0.10 | 0.20 | 0.06 | 0.04 | Variable | 0.43 | 0.90 |
| Phenylalanine | 0.05 | 0.20 | 0.80 | 0.17 | 0.09 | 0.16 | 1.47 | 1.47 |
| Threonine | 0.05 | 0.21 | 0.60 | 0.10 | 0.07 | 0.38 | 1.41 | 1.41 |
| Valine | 0.06 | 0.25 | 0.74 | 0.15 | 0.10 | 0.26 | 1.57 | 1.57 |
| Tryptophan | 0.01 | 0.07 | 0.21 | 0.04 | 0.02 | 0.00 | 0.35 | 0.32 |
| Aspartic acid | 0.12 | 0.35 | 1.77 | 0.15 | 0.17 | 0.28 | 2.84 | 2.84 |
| Serine | 0.05 | 0.21 | 0.78 | 0.17 | 0.08 | 0.16 | 1.45 | 1.45 |
| Glycine | 0.10 | 0.25 | 0.66 | 0.13 | 0.10 | 1.24 | Variable | 2.50 |
| Alanine | 0.09 | 0.22 | 0.66 | 0.11 | 0.11 | 0.96 | 2.15 | 2.15 |
| Cystine | 0.01 | 0.12 | 0.22 | 0.08 | 0.04 | 0.00 | 0.47 | 0.22 |
| Gulmatic acid | 0.18 | 0.84 | 2.78 | 1.14 | 0.26 | 0.00 | 5.19 | 4.64 |
| Proline | 0.06 | 0.31 | 0.78 | 0.40 | 0.08 | 0.28 | 1.92 | 1.92 |
aFM fish meal.
bRM rapeseed meal.
cSM soybean meal.
dWM wheat meal.
eRB rice bran.
fCAAP crystalline amino acid premix.
gWBP whole-body protein.
hEAA essential amino acid.
iNEAA non-essential amino acid.
Primer sequence for qRT-PCR.
| Target gene | Primer sequence | |
|---|---|---|
| Forward (5′–3′) | Reverse (3′–5′) | |
| TTTACACGAGCAAGTCTACGGA | CTTCATCTTGGCTCAGCTCTCT | |
| GCTGGCTGAGTTTGTGGTTG | CGAGTCGTGCTAAAAAGGGTC | |
| GGTGCATGTCACCTTATGGG | AGCTGGCAGCACTTCTAGTC | |
| GCTTCCACTGGGATTCACCT | CGACGTTATTGCCTTCAGCG | |
| CGAGATTGAGAACGGAGGCA | GTCCTTCTCAGACACTGCGG | |
| TAGGATCAAGCAATCCGCCG | CCTGCCATGGTTGCCAGATA | |
| TCGCCTGGATGAAGTTCGAC | GTCTTGGTGGAGGTTCCTGG | |
| TTCAGTGTCACGCTGTTCCT | TCTGGACTGACGCACCATTT | |
| CGGCAGCCCATTATCATTGC | GCGTACACTGGACTCTCCAC | |
| TTACACGGTCATTGCGTCCA | GACACAGCTCAGTCGGTGAA | |
| TGGAGAAACCTTTTGGCCGT | CTGGGTACCAAACGGCTCTT | |
| CGGTGAAACCGAACAGGAGT | TTCTTTGAGATCGGGCCTGG | |
| CCATTGCTGAGCTCTTTCGC | GCGTACACTGGACTCTCCAC | |
| TAGCAGTGAGCATTGGCACA | CATCGCTGGCGTATGAGGAT | |
| GTTTGCCAACCGCTTGTCTT | GGCCATGGCGAATAGCATTG | |
| ACAACAGTAGCGACACCCTG | AGGAGCGGTAGCGTTTTTCA | |
| CAAGCTCTGAGGGCCAAAGG | TGTACCATCGAGGCCGTTTC | |
| CGTTGACGTCCTTCTCTGCT | ATGTCCCACAACGCTATCCG | |
| GCCACGAGTGTTGGTGTGAA | TGGCCCTAGCTTTGAGTACG | |
| GTTTCTGGATTTGGGTCG | TCTGATGGGATCTGGCAC | |
| β-actin | TCGTCCACCGCAAATGCTTCTA | CCGTCACCTTCACCGTTCCAGT |
ator, target of rapamycin.
b4e-bp1, eukaryotic initiation factor 4e binding protein-1.
cs6k1, ribosomal protein s6 kinase 1.
dgk, glucokinas.
epk, pyruvate kinase.
fpfk, phosphofructokinase.
gpepck, phosphoenolpyruvate carboxykinase.
hg6pase, glucose-6-phosphatase.
ifbp, fructose-1,6-biphosphatase.
jgs, glycogen synthase.
kg6pd, glucose-6-phosphate dehydrogenase.
lglut2, glucose transporters 2.
mglut4, glucose transporters 4.
nacc, acetyl-coa carboxylase.
ofas, fatty acid synthetase.
psrebp1, sterol regulatory element-binding protein 1.
qcpt1, carnitine palmitoyl transferase 1.
rpparα, peroxisome proliferator activated receptor alpha.
slpl, lipoprotein lipase.
tlp, lipase.