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Hepatic protein kinase B (Akt)–target of rapamycin (TOR)-signalling pathways and intermediary metabolism in rainbow trout (Oncorhynchus mykiss) are not significantly affected by feeding plant-based diets

Published online by Cambridge University Press:  10 August 2009

Marine Lansard
Affiliation:
INRA, UMR1067 Nutrition Aquaculture et Génomique, Pôle d'hydrobiologie, CD918, F-64310St-Pée-sur-Nivelle, France IFREMER, UMR1067 Nutrition Aquaculture et Génomique, F-29280Plouzané, France Université Bordeaux 1, UMR 1067 Nutrition Aquaculture et Génomique, F-33405Talence, France
Stéphane Panserat
Affiliation:
INRA, UMR1067 Nutrition Aquaculture et Génomique, Pôle d'hydrobiologie, CD918, F-64310St-Pée-sur-Nivelle, France IFREMER, UMR1067 Nutrition Aquaculture et Génomique, F-29280Plouzané, France Université Bordeaux 1, UMR 1067 Nutrition Aquaculture et Génomique, F-33405Talence, France
Iban Seiliez
Affiliation:
INRA, UMR1067 Nutrition Aquaculture et Génomique, Pôle d'hydrobiologie, CD918, F-64310St-Pée-sur-Nivelle, France IFREMER, UMR1067 Nutrition Aquaculture et Génomique, F-29280Plouzané, France Université Bordeaux 1, UMR 1067 Nutrition Aquaculture et Génomique, F-33405Talence, France
Sergio Polakof
Affiliation:
INRA, UMR1067 Nutrition Aquaculture et Génomique, Pôle d'hydrobiologie, CD918, F-64310St-Pée-sur-Nivelle, France IFREMER, UMR1067 Nutrition Aquaculture et Génomique, F-29280Plouzané, France Université Bordeaux 1, UMR 1067 Nutrition Aquaculture et Génomique, F-33405Talence, France Laboratorio de Fisioloxía Animal, Departamento de Bioloxía Funcional Ciencias da saúde, Facultade de Bioloxía, Universidade de Vigo, Vigo, Spain
Elisabeth Plagnes-Juan
Affiliation:
INRA, UMR1067 Nutrition Aquaculture et Génomique, Pôle d'hydrobiologie, CD918, F-64310St-Pée-sur-Nivelle, France IFREMER, UMR1067 Nutrition Aquaculture et Génomique, F-29280Plouzané, France Université Bordeaux 1, UMR 1067 Nutrition Aquaculture et Génomique, F-33405Talence, France Laboratorio de Fisioloxía Animal, Departamento de Bioloxía Funcional Ciencias da saúde, Facultade de Bioloxía, Universidade de Vigo, Vigo, Spain
Inge Geurden
Affiliation:
INRA, UMR1067 Nutrition Aquaculture et Génomique, Pôle d'hydrobiologie, CD918, F-64310St-Pée-sur-Nivelle, France IFREMER, UMR1067 Nutrition Aquaculture et Génomique, F-29280Plouzané, France Université Bordeaux 1, UMR 1067 Nutrition Aquaculture et Génomique, F-33405Talence, France
Françoise Médale
Affiliation:
INRA, UMR1067 Nutrition Aquaculture et Génomique, Pôle d'hydrobiologie, CD918, F-64310St-Pée-sur-Nivelle, France IFREMER, UMR1067 Nutrition Aquaculture et Génomique, F-29280Plouzané, France Université Bordeaux 1, UMR 1067 Nutrition Aquaculture et Génomique, F-33405Talence, France
Sadasivam Kaushik
Affiliation:
INRA, UMR1067 Nutrition Aquaculture et Génomique, Pôle d'hydrobiologie, CD918, F-64310St-Pée-sur-Nivelle, France IFREMER, UMR1067 Nutrition Aquaculture et Génomique, F-29280Plouzané, France Université Bordeaux 1, UMR 1067 Nutrition Aquaculture et Génomique, F-33405Talence, France
Geneviève Corraze
Affiliation:
INRA, UMR1067 Nutrition Aquaculture et Génomique, Pôle d'hydrobiologie, CD918, F-64310St-Pée-sur-Nivelle, France IFREMER, UMR1067 Nutrition Aquaculture et Génomique, F-29280Plouzané, France Université Bordeaux 1, UMR 1067 Nutrition Aquaculture et Génomique, F-33405Talence, France
Sandrine Skiba-Cassy*
Affiliation:
INRA, UMR1067 Nutrition Aquaculture et Génomique, Pôle d'hydrobiologie, CD918, F-64310St-Pée-sur-Nivelle, France IFREMER, UMR1067 Nutrition Aquaculture et Génomique, F-29280Plouzané, France Université Bordeaux 1, UMR 1067 Nutrition Aquaculture et Génomique, F-33405Talence, France
*
*Corresponding author: Dr Sandrine Skiba-Cassy, fax +33 5 59 54 51 52, email skiba@st-pee.inra.fr
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Abstract

The aim of the present study was to analyse the effects of partial or total replacement of fish meal (FM) and fish oil (FO) by a mixture of plant protein (PP) and a mixture of vegetable oils (VO) on the hepatic insulin–nutrient-signalling pathway and intermediary metabolism-related gene expression in rainbow trout (Oncorhynchus mykiss). Triplicate groups of fish were fed four practical diets containing graded levels of replacement of FM and FO by PP and VO for 12 weeks: diet 0/0 (100 % FM, 100 % FO); diet 50/50 (50 % FM and 50 % PP, 50 % FO and 50 % VO); diet 50/100 (50 % FM and 50 % PP, 100 % VO); diet 100/100 (100 % PP, 100 % VO). Samplings were performed on trout starved for 5 d then refed with their allocated diet. In contrast to partial substitution (diet 50/50), total substitution of FM and FO (diet 100/100) led to significantly lower growth compared with diet 0/0. The insulin–nutrient-signalling pathway (protein kinase B (Akt), target of rapamycin (TOR), S6 protein kinase 1 (S6K1) and S6) was characterised in trout liver and found to be activated by refeeding. However, changes in diet compositions did not differentially affect the Akt–TOR-signalling pathway. Moreover, expression of genes encoding fructose-1,6-biphosphatase, mitochondrial phosphoenolpyruvate carboxykinase, glucokinase, pyruvate kinase and carnitine palmitoyl transferase 1 were not affected by refeeding or by dietary changes. Refeeding down- and up-regulated the expression of gluconeogenic glucose-6-phosphatase isoform 1 and lipogenic fatty acid synthase genes, respectively. Expression of both genes was also increased with partial replacement of FM and total replacement of FO (diet 50/100). These findings indicate that plant-based diets barely affect glucose and lipid metabolism in trout.

Type
Full Papers
Copyright
Copyright © The Authors 2009

Teleosts in general are known to have high dietary protein and specific essential fatty acid requirements(1). In intensively farmed fish, the indispensable amino acids and essential fatty acids are generally supplied by fish meal (FM) and fish oil (FO) derived from marine fishery resources(Reference Sargent and Tacon2). Such a practice is considered controversial(Reference Naylor, Goldburg and Primavera3, Reference New and Wijkstroem4) because fishery resources cannot meet the increasing demands for such feedstuffs, and reliance on wild fisheries thus needs to be reduced in order to ensure sustainable development of aquaculture. This has increased the interest in research into alternatives to FM and FO such as plant feedstuffs, i.e. plant proteins (PP) and vegetable oils (VO)(Reference Gatlin, Barrows and Brown5). Compared with FM, most PP sources are characterised by relatively low protein content, amino acid imbalance, low palatability, presence of endogenous anti-nutritional factors and large amounts of carbohydrates(Reference Gatlin, Barrows and Brown5, Reference Francis, Makkar and Becker6), and the fatty acid profiles of VO do not fulfil the essential fatty acid needs of fish(Reference Bell, Tocher and Henderson7Reference Regost, Arzel and Cardinal9). Despite these disadvantages, much progress has been made in the use of plant products in aquafeeds to replace either FM by PP or FO by VO(Reference Bell, Tocher and Henderson7, Reference Bell, Henderson and Tocher10Reference Watanabe, Verakunpiriya and Watanabe17). However, recent studies have revealed changes in patterns of expression of several genes involved in N and fat metabolism and their corresponding protein profiles in the livers of salmonids fed feeds with low levels of FO or FM(Reference Vilhelmsson, Martin and Medale18Reference Jordal, Torstensen and Tsoi21). These findings strongly suggest changes in intermediary metabolism as a consequence of high levels of plant feedstuffs in the diets of teleosts(Reference Barrows, Bellis and Krogdahl22). The aim of the present study was therefore to analyse the effects of partial or total combined replacement of FM and FO by a blend of plant ingredients on intermediary metabolism, which has yet to be fully explored in fish, even in salmonids. The present study was focused on the liver since it is the centre of intermediary metabolism and lipogenesis.

The liver intermediary metabolism in mammals is mainly regulated by insulin and nutrients. Insulin acts through a tyrosine kinase membrane receptor. When activated by insulin binding, tyrosine kinase recruits and phosphorylates intracellular substrates known as IRS (insulin receptor substrates). Phosphorylated IRS are used as docking sites for proteins which then transmit the insulin signal through several molecules, including successively the phosphatidylinositol-3-kinase and protein kinase B (Akt)(Reference Taniguchi, Emanuelli and Kahn23). Through this pathway insulin regulates hepatic gene expression, especially that of intermediary metabolism. Gluconeogenic genes are mainly under insulin control(Reference Barthel and Schmoll24). Indeed, in mammals, insulin inhibits expression of glucose-6-phosphatase (G6Pase), and phosphoenolpyruvate carboxykinase (PEPCK) enzymes at the transcriptional level(Reference Barthel and Schmoll24, Reference Sul, Latasa and Moon25) through the activation of the protein Akt(Reference Liao, Barthel and Nakatani26, Reference Schmoll27), a critical node in the insulin-signalling pathway(Reference Taniguchi, Emanuelli and Kahn23). In the same way, insulin regulation of fatty acid synthase (FAS) transcription in mammals is mediated by the phosphatidylinositol-3-kinase–Akt-signalling pathway(Reference Sul, Latasa and Moon25). However, increasing evidence has emerged in recent years to show that nutrients are able to regulate hepatic gene expression in a transcriptional manner. Indeed, glycolytic and lipogenic genes are reciprocally regulated by glucose and fatty acids in the liver(Reference Dentin, Denechaud and Benhamed28). Nutrients may also interact with insulin function. For example, excessive levels of amino acids have detrimental effects on glucose homeostasis by promoting insulin resistance and increasing gluconeogenesis(Reference Tremblay, Lavigne and Jacques29), which could be due to the activation of complex 1 of the mammalian target of rapamycin (mTORC1). mTORC1 is regulated by both nutrients (i.e. amino acids) and growth factors (i.e. insulin) and plays a key role in the control of cell growth and protein translation through the subsequent activation of p70 ribosomal S6 protein kinase 1 and ribosomal protein S6(Reference Wullschleger, Loewith and Hall30). Moreover, recent findings have indicated that activation of mTORC1 also contributes to the regulation of insulin target gene expression(Reference Porstmann, Santos and Griffiths31). No findings have been published to date concerning the nutritional regulation of Akt–TOR pathways in the livers of teleosts, normally requiring high dietary levels of amino acid.

The aim of the present study was therefore to address whether diet substitution could affect the nutrient and insulin-signalling pathways and metabolism-related gene expression, on which very little information is available for any teleost. Several key enzymes of glucose and lipid metabolism known to be under insulin control in mammals and in fish were analysed(Reference Plagnes-Juan, Lansard and Seiliez32). Gluconeogenesis was investigated by studying the gene expression of G6Pase, fructose-1,6-biphosphatase (FBPase) and PEPCK. We also analysed mRNA levels of glucokinase (GK) and pyruvate kinase (PK) which catalyse the phosphorylation of glucose and the conversion of phosphoenolpyruvate to pyruvate, the first and the final steps in glycolysis, respectively(Reference Towle, Kaytor and Shih33). We also investigated the gene expression levels of two enzymes involved in fatty acid metabolism: (i) FAS, which is a key enzyme in fatty acid synthesis and promotes the synthesis of palmitate, through the condensation of malonyl-CoA and acetyl-CoA(Reference Smith, Witkowski and Joshi34); (ii) carnitine palmitoyl transferase 1 (CPT1), which is responsible for the entry of long-chain fatty acids into the mitochondria and is considered to be a rate-limiting enzyme of fatty acid β-oxidation.

Experimental methods

Studies with animals were carried out in accordance with legislation governing the ethical treatment of animals, and investigators were certified by the French Government to carry out animal experiments (authority: Prefecture of Pyrénées Atlantiques, 64000 Pau, for INRA St Pée-sur-Nivelle). Animal experiments were in accordance with national law Decret no. 2001-464 of 29 May 2001, as applicable in INRA according to INRA no. 2002-36, of 4 April 2002.

Feeding trial

In order to investigate the effects of partial or total replacement of FM and FO by a mixture of PP and VO, we used juvenile rainbow trout (Oncorhynchus mykiss), having a mean initial body weight of 121 (sd 2) g, reared in our experimental fish farm facilities (INRA, Donzacq, France) at 18°C under natural photoperiod conditions. Trout were distributed into twelve circular tanks (500 litres; three tanks per diet) in groups of 100 fish each. Triplicate groups of fish were randomly allocated to one of the four isonitrogenous, isolipidic and isoenergetic diets, formulated and manufactured in our experimental facilities of Donzacq, France (Table 1) and fed for 12 weeks. Diets were constituted as follows and named by the percentage of plant feedstuff (PP/VO) incorporated: diet 0/0, in which FM and FO were the main protein and fat sources; diet 50/50, corresponding to 50 % supply of proteins by a mixture of PP sources and 50 % of FO substituted by a mixture of VO; diet 50/100, comparable with diet 50/50, except that FO was totally replaced by VO; diet 100/100, corresponding to total replacement of both FM and FO by PP and VO. Each diet was distributed by hand to visual satiation for 6 or 7 d and feed consumption was recorded every week. To follow growth and feed utilisation, fish were counted and group weighed every 3 weeks, and on the last day of the experiment the final body weight was measured. According to their size ( ± 450 g), fish were left unfed for 5 d in order to obtain basal levels of plasma metabolites, reached later in fish than in mammals due to their slower transit and longer gastric emptying time at low temperature compared with endothermic animals. This fasting period also contributed to homogeneity of the metabolic response of all the fish within the same group. Fish were refed a single meal to visual satiation of their allocated diet and sampled (n 6) 2 h after the meal for the signalling analysis (short-term regulation) and 8 h after the meal for molecular studies (long-term regulation). Six fish from each dietary group were sampled before refeeding and served as controls. Blood was collected from the caudal vein using a syringe pre-treated with a solution containing 4 % NaF and 4 % potassium oxalate, then centrifuged, and plasma was kept frozen at − 20°C until further analysis. Liver samples were collected, snap-frozen in liquid N2 and then stored at − 80°C before further mRNA and protein analyses.

Table 1 Composition of the four diets with the proportions of plant protein (PP) and the proportions of vegetable oil (VO) indicated for each diet

CP, crude protein.

* Sopropêche (Lorient, France).

Inzo (Argentan, France).

Roquette (Lestrem, France).

§ Lacadee Agro Industrie (Mont, France).

Daudruy (Dunkerque, France).

Louis François (Saint Maur, France).

** Eurolysine (Paris, France).

†† Carophyll pink (DSM, Courbevoie, France).

‡‡ Supplied the following (per kg diet): calcium carbonate (40 % Ca), 2·15 g; magnesium hydroxide (60 % Mg), 1·24 g; potassium chloride, 0·9 g; ferric citrate, 0·2 g; potassium iodide, 4 mg; sodium chloride, 0·4 g; calcium hydrogen phosphate, 50 g; copper sulfate, 0·3 mg; zinc sulfate, 40 mg; cobalt sulfate, 2 mg; manganese sulfate, 30 mg; sodium selenite, 0·3 mg.

§§ Supplied the following (mg/kg diet): retinyl acetate, 2·58; DL-cholecalciferol, 0·037; DL-α-tocopheryl acetate, 30; menadione sodium bisulfite, 2·5; thiamin, 7·5; riboflavin, 15; pyridoxine, 7·5; nicotinic acid, 87·5; folic acid, 2·5; calcium pantothenate, 2·5; vitamin B12, 0·025; ascorbic acid, 250; inositol, 500; biotin, 1·25; choline chloride, 500.

Plasma metabolite levels

Plasma glucose, TAG and NEFA levels were measured with Glucose RTU (BioMérieux, Marcy l'Etoile, France), PAP 150 (BioMérieux) and NEFA C (Wako Chemicals GmbH, Neuss, Germany) kits, respectively, according to the recommendations of each manufacturer.

Gene expression analysis

Total RNA samples were extracted from livers of 8 h refed trout, using Trizol reagent (Invitrogen, Carlsbad, CA, USA) according to the manufacturer's recommendations. A quantity of 1 μg of the resulting total RNA was reverse transcribed into cDNA using the SuperScript™ III RNaseH- RT kit (Invitrogen) and oligo dT primers (Promega, Charbonnières, France) according to the manufacturers' instructions. Target gene expression levels were determined by quantitative RT-PCR using specific real-time PCR primers (Table 2). To avoid amplification of genomic DNA, when possible, primer pairs included one intron-spanning oligonucleotide. Quantitative RT-PCR was carried out on an iCycler iQ™ real-time PCR detection system (Bio-Rad, Hercules, CA, USA) using iQ™ SYBR® Green Supermix. mRNA levels of G6Pase isoforms 1 and 2, FBPase, mitochondrial PEPCK, GK, PK, FAS and CPT1 isoforms A and B were evaluated. Elongation factor 1α (EF1α) was employed as a non-regulated reference gene, as previously used in rainbow trout. No changes in EF1α gene expression were observed in our studies (data not shown). PCR was performed using 10 μl of the diluted cDNA mixed with 5 pmol of each primer in a final volume of 25 μl. The PCR protocol was initiated at 95°C for 3 min for initial denaturation of the cDNA and hot-start iTaq™ DNA polymerase activation and continued with a two-step amplification programme (20 s at 95°C followed by 30 s at specific primer hybridisation temperature) repeated forty times. Melting curves were systematically monitored (temperature gradient at 0·5°C per 10 s from 55 to 94°C) at the end of the last amplification cycle to confirm the specificity of the amplification reaction. The different PCR products were initially checked by sequencing to confirm the nature of the amplicon. Each PCR run included replicate samples (duplicate of reverse transcription and PCR amplification, respectively) and negative controls (RT- and RNA-free samples, respectively).

Table 2 Primers used to amplify rainbow trout (Oncorhynchus mykiss) target genes by real-time RT-PCR

F, forward primer; R, reverse primer. EF1α, elongation factor 1α; GK, glucokinase; PK, pyruvate kinase; mPEPCK, phosphoenolpyruvate carboxykinase, mitochondrial isoform; G6Pase-1, glucose 6-phosphatase 1; G6Pase-2, glucose 6-phosphatase 2; FBPase, fructose 1,6-bisphosphatase; FAS, fatty acid synthase; CPT1A, carnitine palmitoyltransferase 1A; CPT1B, carnitine palmitoyltransferase 1B.

Relative quantification of target gene expression was performed using the mathematical model described by Pfaffl(Reference Pfaffl35). The relative expression ratio (R) of a target gene was calculated based on real-time PCR efficiency (E) and the cycle threshold deviation (ΔCT) of the unknown sample v. a control sample and expressed in comparison with the EF1α reference gene:

\begin{eqnarray} R = \frac {((E_{target\,gene})\,\Delta CT_{target\,gene}\,(control - sample))}{((E_{EF1\alpha })\,\Delta CT_{EF1\alpha }\,(control - sample))}. \end{eqnarray}

PCR efficiency (E) was measured by the slope of a standard curve using serial dilutions of cDNA. PCR efficiency values ranged between 1·90 and 2.

Protein extraction and Western blotting

Frozen livers (300 mg) from 2 h refed trout were homogenised on ice with an Ultraturrax homogeniser in a buffer containing 150 mm-NaCl, 10 mm-2-amino-2-hydroxymethyl-propane-1,3-diol, 1 mm-ethylene-glycol-bis(a-aminoethyl)-N, N, N′, N′-tetra-acetic acid, 1 mm-EDTA (pH 7·4), 100 mm-sodium fluoride, 4 mm-sodium pyrophosphate, 2 mm-sodium orthovanadate, 1 % Triton X-100, 0·5 % NP-40-Igepal and a protease inhibitor cocktail (Roche, Basel, Switzerland). Homogenates were centrifuged at 1000 g for 30 min at 4°C and supernatant fractions were then centrifuged for 45 min at 150 000 g. The resulting supernatant fractions were sampled and stored at − 80°C. Protein concentrations were determined using the Bio-Rad protein assay kit (Bio-Rad, Hercules, CA, USA). Lysates (20 μg protein) were subjected to SDS-PAGE and Western blotting using the appropriate antibody. All antibodies used were obtained from Cell Signaling Technologies (Ozyme, Saint Quentin Yvelines, France). Rabbit anti-phospho-Akt (Ser473) and Akt antibodies were directed against synthetic peptides corresponding to residues surrounding phosphorylated Ser473 of mouse Akt and the carboxyterminal sequence of mouse Akt, respectively. Rabbit anti-phospho-mTOR (Ser2448), anti-mTOR, antiphospho-S6 protein kinase 1 (Thr389), anti-S6 protein kinase 1, anti-phospho-S6 (Ser235/236) and anti-S6 were directed against synthetic human peptides. These antibodies have been shown to successfully cross-react with rainbow trout proteins of interest(Reference Seiliez, Gabillard and Skiba-Cassy36). After washing, membranes were incubated with an IRDye Infrared secondary antibody (LI-COR Inc. Biotechnology, Lincoln, NE, USA). Bands were visualised by Infrared Fluorescence using the Odyssey® Imaging System (LI-COR Inc. Biotechnology) and quantified by Odyssey® Infrared imaging system software (version 1.2; LI-COR Inc. Biotechnology).

Statistical analysis

Results of growth performance were expressed as mean values and standard deviations (three tanks) and analysed by one-way ANOVA. Means were compared by the Student–Newman–Keuls comparison test. Results of plasma metabolite levels, protein phosphorylation and gene expression analysis were expressed as mean values with their standard errors (n 6) and analysed by the Mann–Whitney and Kruskall–Wallis non-parametric tests. For all statistical analyses, the level of significance was set at P < 0·05.

Results

Characterisation and regulation of the protein kinase B–target of rapamycin-signalling pathway

As illustrated in Fig. 1, proteins of the insulin-signalling pathway including Akt, TOR, and the ribosomal protein S6 were identified in rainbow trout liver. Phosphorylation of Akt (Ser473), TOR (Ser2448) and S6 (Ser235/236) was significantly increased (P < 0·005) in the livers of refed fish compared with 5 d fasted fish. Levels of total Akt, TOR and S6 were not significantly modified by refeeding.

Fig. 1 Phosphorylation of protein kinase B (Akt) at Ser473 (A), target of rapamycin (TOR) at Ser2448 (B) and S6 at Ser235/236 (C) in the livers of rainbow trout (Oncorhynchus mykiss) deprived of food for 5 d, refed ad libitum and sampled 2 h after administration of the 100 % fish meal–100 % fish oil diet (diet 0/0). The gel was loaded with 40 μg of total protein per lane. Phosphorylation levels of Akt at Ser473, Akt, TOR at Ser2448, TOR, S6 at Ser235/236 and S6 were quantified and data were normalised to total amounts of Akt, TOR and S6, respectively. Western blots were performed on six individual samples and similar results were obtained; representative blots are shown. Results are means (n 6), with standard errors represented by vertical bars. * Mean value was significantly different from that of the fasted group (P < 0·05; Mann–Whitney test).

Postprandial regulation of metabolism-related hepatic gene expression

The effects of refeeding with the standard diet (diet 0/0) on G6Pase isoforms 1 and 2, FBPase, mitochondrial PEPCK, GK, PK, FAS, CPT1A and CPT1B gene expression in the liver are presented in Fig. 2. In 8 h refed fish, G6Pase-1 gene expression was 3-fold decreased (P < 0·05) and FAS gene expression was 4-fold increased (P = 0·002) compared with fasted fish. No significant changes were noted for the other genes. GK mRNA levels are not reported in Fig. 2, since expression of GK was close to the limit of real-time PCR detection in all fish of the group.

Fig. 2 Levels of expression of mRNA encoding hepatic genes in the livers of rainbow trout (Oncorhynchus mykiss) deprived of food for 5 d (■), refed ad libitum and sampled 8 h after administration of the 100 % fish meal–100 % fish oil diet (diet 0/0) (▨). Glucose 6-phosphatase isoform 1 (G6Pase-1) (A), glucose 6-phosphatase isoform 2 (G6Pase-2) (B), fructose 1,6-bisphosphatase (FBPase) (C), mitochondrial phosphoenolpyruvate carboxykinase (mPEPCK) (D), pyruvate kinase (PK) (E), fatty acid synthase (FAS) (F), carnitine palmitoyltransferase 1 isoform A (CPT1A) (G) and carnitine palmitoyltransferase 1 isoform B (CPT1B) (H) mRNA levels were estimated using real-time RT-PCR. Expression values were normalised with elongation factor 1α (EF1α)-expressed transcripts. Results are means (n 6), with standard errors represented by vertical bars. * Mean value was significantly different from that of the fasted group (P < 0·05; Mann–Whitney test). † Mean value was marginally different from that of the fasted group (P = 0·06; Mann–Whitney test).

Effects on rainbow trout of partial or total replacement of fish meal and fish oil by plant ingredients in the diet

After the 12-week growth trial, fish fed with diet 100/100 exhibited the lowest final body weight (Table 3). Fish fed with diet 50/100 displayed significantly lower final body weight in comparison with fish fed diet 0/0 whereas fish fed with diet 50/50 showed no significant difference from those fed with diet 0/0. Feed efficiency in trout fed with diet 100/100 was significantly lower than in the other three groups and feed intake significantly decreased with graded increases in the inclusion of PP and VO in diets.

Table 3 Growth performance and plasma parameters measured over the 12-week feeding trial

(Mean values and standard deviations)

Diet 0/0, fish meal and fish oil as the main protein and fat sources; diet 50/50, 50 % supply of proteins by a mixture of plant protein sources and 50 % of fish oil substituted by a mixture of vegetable oil; diet 50/100, 50 % supply of proteins by a mixture of plant protein sources and all fish oil substituted by vegetable oil; diet 100/100, total replacement of both fish meal and fish oil by plant protein and vegetable oil; IBW, initial body weight; FBW, final body weight; SGR, specific growth rate.

a,b,c,d Mean values within a row with unlike superscript letters were significantly different (P < 0·05; ANOVA followed by Student–Newman–Keuls mean comparison and Kruskal–Wallis non-parametric test for zootechnical parameters and plasma parameters, respectively).

* Significant difference in plasma parameters between 2 and 8 h after refeeding for each experimental diet (P < 0·05; Mann–Whitney test).

SGR = 100 × ((ln(FBW) − ln(IBW))/d).

Feed efficiency = weight gain (g)/dry feed intake (g).

§ Feed intake = g feed intake/fish per d.

Plasma parameters measured 2 and 8 h after refeeding.

Findings on postprandial plasma glucose, NEFA and TAG levels are presented in Table 3. Plasma glucose levels increased slightly between 2 and 8 h after a meal in each dietary group, and no difference in plasma glucose levels was observed between the four groups 2 or 8 h after feeding. Plasma NEFA levels showed a significant increase between 2 and 8 h only in fish fed with diet 0/0. On the other hand, there was no difference between the effects of diets 2 h after a meal, whereas 8 h after refeeding, trout fed with diet 0/0 displayed significantly higher plasma NEFA levels than those fed with diet 50/50. Moreover, there was no difference in plasma TAG levels at either sampling time between the four groups. There was only a significant increase in plasma TAG levels between 2 and 8 h in fish fed diet 50/50.

Phosphorylated forms of Akt, TOR and S6 were detected in the livers of rainbow trout refed with each of the four diets (Fig. 3). At 2 h after refeeding, phosphorylation levels of Akt (Ser473), TOR (Ser2448) and S6 (Ser235/236) displayed no significant differences between the four dietary groups (Fig. 3).

Fig. 3 Effects of diet 0/0 (100 % fish meal (FM), 100 % fish oil (FO)), diet 50/50 (50 % FM and 50 % plant protein (PP), 50 % FO and 50 % vegetable oil (VO)), diet 50/100 (50 % FM and 50 % PP, 100 % VO) and diet 100/100 (100 % PP, 100 % VO) on phosphorylation of protein kinase B (Akt) at Ser473 (A), target of rapamycin (TOR) at Ser2448 (B) and S6 at Ser235/236 (C) in rainbow trout (Oncorhynchus mykiss) livers, 2 h after refeeding. The gel was loaded with 20 μg of total protein per lane. Phosphorylation levels of Akt at Ser473, Akt, TOR at Ser2448, TOR, S6 at Ser235/236 and S6 were quantified and data were normalised to total amounts of Akt, TOR and S6, respectively. Western blots were performed on six individual samples and similar results were obtained; representative blots are shown. Results are means (n 6), with standard errors represented by vertical bars. Results were analysed by the Kruskall–Wallis test; there were no significant differences between the groups.

Hepatic mRNA levels of G6Pase-1 and G6Pase-2, FBPase, mitochondrial PEPCK, GK, PK, CPT1A and CPT1B and FAS were estimated in each group 8 h after refeeding (Fig. 4). Fish fed with diet 50/100 displayed significant up-regulation of G6Pase-2 only compared with fish fed diet 50/50, and up-regulation of G6Pase-1 and FAS gene expression compared with fish fed the other three experimental diets. No significant difference between dietary groups was found for the other genes analysed.

Fig. 4 Effects of of diet 0/0 (100 % fish meal (FM), 100 % fish oil (FO)) (■), diet 50/50 (50 % FM and 50 % plant protein (PP), 50 % FO and 50 % vegetable oil (VO)) (▨), diet 50/100 (50 % FM and 50 % PP, 100 % VO) () and diet 100/100 (100 % PP, 100 % VO) (▧) on the levels of expression of mRNA encoding hepatic metabolism-related genes. Glucose 6-phosphatase isoform 1 (G6Pase-1) (A), glucose 6-phosphatase isoform 2 (G6Pase-2) (B), fructose 1,6-bisphosphatase (FBPase) (C), mitochondrial phosphoenolpyruvate carboxykinase (mPEPCK) (D), pyruvate kinase (PK) (E), fatty acid synthase (FAS) (F), carnitine palmitoyltransferase 1 isoform A (CPT1A) (G) and carnitine palmitoyltransferase 1 isoform B (CPT1B) (H) mRNA levels were estimated using real-time RT-PCR. Expression values were normalised with elongation factor 1α (EF1α)-expressed transcripts. Results are means (n 6), with standard errors represented by vertical bars. a,b Mean values with unlike letters were significantly different (P < 0·05; Kruskall–Wallis test).

Discussion

In the context of sustainable aquaculture, partial or total replacement of FM and FO by plant products has been the subject of several studies in many fish species(Reference Barrows, Bellis and Krogdahl22). Nevertheless, no study has to date investigated the effects of total substitution of FM and FO by PP and VO in fish diets. The aim of the present study was thus to analyse the possible physiological and hepatic metabolic consequences of such dietary substitutions in rainbow trout.

In the present study in rainbow trout we found that up to 50 % replacement of dietary FM and FO by plant ingredients had no significant consequences on final body weight. On the other hand, total substitution of fish products by plant products led to reduced growth and feed utilisation. These results are in line with some recent studies on Atlantic salmon(Reference Torstensen, Espe and Sanden37) where fish fed with 40 % PP and 70 % VO showed no statistically significant differences in growth whereas those fed with 80 % PP and 70 % VO had significantly reduced growth and final body weight. Lower growth performance seemed to be due to both reduced feed intake and lower feed efficiency, particularly with diets devoid of FM and FO. This has been previously reported in another study with rainbow trout fed a low-FM diet(Reference Panserat, Kolditz and Richard19). Such reduced growth performance is possibly more linked to PP than to VO since total substitution of FO by VO does not have any adverse effects on growth in salmonids(Reference Bell, Henderson and Tocher10, Reference Kaushik, Cravedi and Lalles13, Reference Vilhelmsson, Martin and Medale18, Reference Panserat, Kolditz and Richard19, Reference Richard, Kaushik and Larroquet38). Given the low feed efficiency with PP, our objective was to analyse the effects of such changes on hepatic insulin–nutrient intracellular-signalling pathways as well as on the expression of genes encoding key metabolic enzymes.

We report in the present study for the first time the existence and the nutritional–hormonal regulation of the hepatic Akt–TOR-signalling pathway in the liver of a teleost, as already reported in mammals(Reference Taniguchi, Emanuelli and Kahn23, Reference Wullschleger, Loewith and Hall30). The present study showed that the Akt–TOR-signalling pathway was activated in the livers of refed rainbow trout whereas it was not in trout starved for 5 d, in agreement with the recent characterisation of the TOR-signalling pathway in rainbow trout muscle(Reference Seiliez, Gabillard and Skiba-Cassy36). The refeeding activation of this pathway was probably mainly related to the well-known insulin secretion and postprandial aminoacidaemia peak that occurs in refed sea bass as in refed trout(Reference Seiliez, Gabillard and Skiba-Cassy36, Reference Gutierrez, Carrillo and Zanuy39).

Characterisation of the Akt–TOR-signalling pathway in the livers of rainbow trout allowed us to investigate the effects of dietary FM and FO substitution on the regulation of this transduction pathway. Our findings suggest that replacement of FM and FO in diets had no specific effect on the activation of Akt–TOR-signalling pathways. This could be explained by the fact that, although the four diets differed in terms of ingredient sources, they were similar in terms of macronutrient composition, i.e. they were isonitrogenous, isolipidic and isoenergetic diets.

The expression of only a few genes was affected. Indeed, except for the first isoform of G6Pase, the present study confirms earlier findings showing the absence of significant postprandial inhibition of gluconeogenic gene expression in rainbow trout(Reference Panserat, Medale and Breque40, Reference Panserat, Plagnes-Juan and Breque41). In terms of the glycolytic pathway, GK gene expression was close to the limit of detection and was not stimulated by refeeding. As previously described(Reference Panserat, Plagnes-Juan and Kaushik42), induction of the regulation of PK, the last enzyme of glycolysis(Reference Towle, Kaytor and Shih33), was also absent in refed trout. These results may be due to the low levels of carbohydrates (about 10 %) present in all four diets, leading to only a small increase in postprandial glycaemia (about 1 g per litre). Indeed, we have previously demonstrated that glucose is essential in the control of GK and PK gene expression in the rainbow trout liver(Reference Plagnes-Juan, Lansard and Seiliez32). Lipogenesis and lipolysis are known to be under insulin control in mammals, and probably also in fish, since in rainbow trout insulin enhances FAS gene expression while it inhibits expression of CPT1, involved in lipid synthesis and oxidation, respectively(Reference Plagnes-Juan, Lansard and Seiliez32). The phosphatidylinositol-3-kinase–Akt-signalling pathway mediates insulin regulation of FAS transcription in mammals(Reference Sul, Latasa and Moon25). We demonstrated in the present study that refeeding concomitantly activated Akt and stimulated FAS gene expression, suggesting that refeeding probably induced insulin secretion, and its subsequent signalling pathway resulted in the up-regulation of FAS gene expression. Although we found that the expression of CPT1B mRNA tended to be down-regulated in the refed state (P = 0·06), we cannot conclude that refeeding modified CPT1 gene expression in our conditions.

As for refeeding, we found no effect of FM and FO substitution on hepatic levels of mitochondrial PEPCK, FBPase, PK, CPT1A and CPT1B mRNA. We demonstrated only that total substitution of FO combined with half substitution of FM (diet 50/100) significantly increased FAS and G6Pase-1 gene expression compared with the other three groups (and also G6Pase-2 but only compared with diet 50/50). These results were somewhat surprising since we found no effect of total replacement of FM and FO (diet 100/100). It is interesting to note that both genes (G6Pase and FAS) identified as regulated by refeeding were the same as those regulated by diet composition. Although no relationship was found between higher levels of G6Pase-1 mRNA (and potentially increased endogenous glucose production) and plasma glucose level, increased FAS gene expression in fish fed with 100 % PP and 50 % VO may have been related to the higher levels of peri-visceral fat accumulation observed in fish fed with this diet (data not shown). Finally, compared with previous studies based on the partial replacement of FM or FO in the rainbow trout diet, especially those analysing hepatic transcriptomes(Reference Panserat, Kolditz and Richard19), we confirmed that plant-based diets had no drastic effects on glucose or lipid metabolism at a molecular level.

In conclusion, we showed that, despite a significant decrease on growth performance of combined FM and FO substitution by plant ingredients in rainbow trout diets, hepatic metabolism-related gene expression was weakly affected. These results are in accordance with a recent complementary study showing that the same diet substitutions weakly modified hepatic transcriptomic profiles(Reference Panserat, Hortopan and Plagnes-Juan43). Similarly, as indicated by the analysis of the Akt–TOR-signalling pathway, insulin and nutrient transduction signals were not affected by such gross dietary changes, suggesting that modifications which could explain lower growth performance in fish fed 100 % plant products may occur in other metabolic processes.

Acknowledgements

We thank C. Vachot for her excellent technical assistance, and F. Terrier, Y. Hontang and F. Sandres for fish rearing in the INRA experimental farm (Donzacq, France).

The present study was supported by the European Union 6th Framework project (contract no. 016249-2, Sustainable aquafeeds to maximise the health benefits of farmed fish for consumers – AQUAMAX) and the Aquitaine Region (no. CCRRDT-20051303004AB). The AQUAMAX European project (contract no. 016249-2) also provided M. L. with a fellowship. S. Polakof was the recipient of a predoctoral fellowship from the Xunta de Galicia (Program Maria Barbeito).

M. L. was responsible for the writing of the manuscript. M. L. and I. S. generated Western blot analysis data. E. P.-J., S. Polakof and M. L. generated the quantitative RT-PCR data. I. G. was in charge of zootechnical parameter analysis. G. C., F. M. and S. K. were responsible for the design of the diets and conducted the nutritional experiments in fish. S. S.-C. and S. Panserat were responsible for project development, and drafted and corrected the manuscript. S. S.-C. is the corresponding author.

There are no conflicts of interest.

References

1 Committee on Animal Nutrition, Board of Agriculture & National Research Council (1993) Nutrient Requirement of Fish. Washington, DC: National Academic Press.Google Scholar
2 Sargent, JR & Tacon, AG (1999) Development of farmed fish: a nutritionally necessary alternative to meat. Proc Nutr Soc 58, 377383.CrossRefGoogle Scholar
3 Naylor, RL, Goldburg, RJ, Primavera, JH, et al. (2000) Effect of aquaculture on world fish supplies. Nature 405, 10171024.CrossRefGoogle ScholarPubMed
4 New, MB & Wijkstroem, UN (2002) Use of Fishmeal and Fish Oil in Aquafeeds. Further Throughts on the Fishmeal Trap. Food and Agriculture Organization Fisheries Circular no. 975. Rome: FAO.Google Scholar
5 Gatlin, DM, Barrows, FT, Brown, P, et al. (2007) Expanding the utilization of sustainable plant products in aquafeeds: a review. Aquaculture Res 38, 551579.CrossRefGoogle Scholar
6 Francis, G, Makkar, HPS & Becker, K (2001) Antinutritional factors present in plant-derived alternate fish feed ingredients and their effects in fish. Aquaculture 199, 197227.CrossRefGoogle Scholar
7 Bell, JG, Tocher, DR, Henderson, RJ, et al. (2003) Altered fatty acid compositions in Atlantic salmon (Salmo salar) fed diets containing linseed and rapeseed oils can be partially restored by a subsequent fish oil finishing diet. J Nutr 133, 27932801.CrossRefGoogle ScholarPubMed
8 Glencross, BD, Hawkins, WE & Curnow, JG (2003) Restoration of the fatty acid composition of red seabream (Pagrus auratus) using a fish oil finishing diet after grow-out on plant oil based diets. Aquaculture Nutr 9, 409418.CrossRefGoogle Scholar
9 Regost, C, Arzel, J, Cardinal, M, et al. (2003) Total replacement of fish oil by soybean or linseed oil with a return to fish oil in turbot (Psetta maxima) 2. Flesh quality properties. Aquaculture 220, 737747.CrossRefGoogle Scholar
10 Bell, JG, Henderson, RJ, Tocher, DR, et al. (2002) Substituting fish oil with crude palm oil in the diet of Atlantic salmon (Salmo salar) affects muscle fatty acid composition and hepatic fatty acid metabolism. J Nutr 132, 222230.CrossRefGoogle ScholarPubMed
11 Torstensen, BE, Lie, O & Froyland, L (2000) Lipid metabolism and tissue composition in Atlantic salmon (Salmo salar L.) – effects of capelin oil, palm oil, and oleic acid-enriched sunflower oil as dietary lipid sources. Lipids 35, 653664.CrossRefGoogle ScholarPubMed
12 Menoyo, D, Lopez-Bote, CJ, Obach, A, et al. (2005) Effect of dietary fish oil substitution with linseed oil on the performance, tissue fatty acid profile, metabolism, and oxidative stability of Atlantic salmon. J Anim Sci 83, 28532862.CrossRefGoogle ScholarPubMed
13 Kaushik, SJ, Cravedi, JP, Lalles, JP, et al. (1995) Partial or total replacement of fish-meal by soybean protein on growth, protein-utilization, potential estrogenic or antigenic effects, cholesterolemia and flesh quality in rainbow-trout, Oncorhynchus-mykiss. Aquaculture 133, 257274.CrossRefGoogle Scholar
14 Kaushik, SJ, Coves, D, Dutto, G, et al. (2004) Almost total replacement of fish meal by plant protein sources in the diet of a marine teleost, the European seabass, Dicentrarchus labrax. Aquaculture 230, 391404.CrossRefGoogle Scholar
15 Gomez-Requeni, P, Mingarro, M, Calduch-Giner, JA, et al. (2004) Protein growth performance, amino acid utilisation and somatotropic axis responsiveness to fish meal replacement by plant protein sources in gilthead sea bream (Sparus aurata). Aquaculture 232, 493510.CrossRefGoogle Scholar
16 Watanabe, T, Aoki, H, Shimamoto, K, et al. (1998) A trial to culture yellowtail with non-fishmeal diets. Fish Sci 64, 505512.CrossRefGoogle Scholar
17 Watanabe, T, Verakunpiriya, V, Watanabe, K, et al. (1997) Feeding of rainbow trout with non-fish meal diets. Fish Sci 63, 258266.CrossRefGoogle Scholar
18 Vilhelmsson, OT, Martin, SA, Medale, F, et al. (2004) Dietary plant-protein substitution affects hepatic metabolism in rainbow trout (Oncorhynchus mykiss). Br J Nutr 92, 7180.CrossRefGoogle ScholarPubMed
19 Panserat, S, Kolditz, C, Richard, N, et al. (2008) Hepatic gene expression profiles in juvenile rainbow trout (Oncorhynchus mykiss) fed fishmeal or fish oil-free diets. Br J Nutr 100, 953967.CrossRefGoogle ScholarPubMed
20 Leaver, MJ, Villeneuve, LA, Obach, A, et al. (2008) Functional genomics reveals increases in cholesterol biosynthetic genes and highly unsaturated fatty acid biosynthesis after dietary substitution of fish oil with vegetable oils in Atlantic salmon (Salmo salar). BMC Genomics 9, 299.CrossRefGoogle ScholarPubMed
21 Jordal, AE, Torstensen, BE, Tsoi, S, et al. (2005) Dietary rapeseed oil affects the expression of genes involved in hepatic lipid metabolism in Atlantic salmon (Salmo salar L.). J Nutr 135, 23552361.CrossRefGoogle ScholarPubMed
22 Barrows, FT, Bellis, D, Krogdahl, ÃS, et al. (2008) Report of the Plant Products in Aquafeed Strategic Planning Workshop: an integrated, interdisciplinary research roadmap for increasing utilization of plant feedstuffs in diets for carnivorous fish. Rev Fish Sci 16, 449455.CrossRefGoogle Scholar
23 Taniguchi, CM, Emanuelli, B & Kahn, CR (2006) Critical nodes in signalling pathways: insights into insulin action. Nat Rev Mol Cell Biol 7, 8596.CrossRefGoogle ScholarPubMed
24 Barthel, A & Schmoll, D (2003) Novel concepts in insulin regulation of hepatic gluconeogenesis. Am J Physiol Endocrinol Metab 285, E685E692.CrossRefGoogle ScholarPubMed
25 Sul, HS, Latasa, MJ, Moon, Y, et al. (2000) Regulation of the fatty acid synthase promoter by insulin. J Nutr 130, 315S320S.CrossRefGoogle ScholarPubMed
26 Liao, J, Barthel, A, Nakatani, K, et al. (1998) Activation of protein kinase B/Akt is sufficient to repress the glucocorticoid and cAMP induction of phosphoenolpyruvate carboxykinase gene. J Biol Chem 273, 2732027324.CrossRefGoogle ScholarPubMed
27 Schmoll, D (2000) Regulation of glucose-6-phosphatase gene expression by protein kinase Bα and the forkhead transcription factor FKHR. Evidence for insulin response unit-dependent and -independent effects of insulin on promoter activity. Biol Chem 275, 3632436333.CrossRefGoogle ScholarPubMed
28 Dentin, R, Denechaud, P-D, Benhamed, F, et al. (2006) Hepatic gene regulation by glucose and polyunsaturated fatty acids: a role for ChREBP. J Nutr 136, 11451149.CrossRefGoogle ScholarPubMed
29 Tremblay, F, Lavigne, C, Jacques, H, et al. (2007) Role of dietary proteins and amino acids in the pathogenesis of insulin resistance. Annu Rev Nutr 27, 293310.CrossRefGoogle ScholarPubMed
30 Wullschleger, S, Loewith, R & Hall, MN (2006) TOR signaling in growth and metabolism. Cell 124, 471484.CrossRefGoogle ScholarPubMed
31 Porstmann, T, Santos, CR, Griffiths, B, et al. (2008) SREBP activity is regulated by mTORC1 and contributes to Akt-dependent cell growth. Cell Metab 8, 224236.CrossRefGoogle ScholarPubMed
32 Plagnes-Juan, E, Lansard, M, Seiliez, I, et al. (2008) Insulin regulates the expression of several metabolism-related genes in the liver and primary hepatocytes of rainbow trout (Oncorhynchus mykiss). J Exp Biol 211, 25102518.CrossRefGoogle ScholarPubMed
33 Towle, HC, Kaytor, EN & Shih, H (1997) Regulation of the expression of lipogenic enzyme genes by carbohydrate. Annu Rev Nutr 17, 405433.CrossRefGoogle ScholarPubMed
34 Smith, S, Witkowski, A & Joshi, AK (2003) Structural and functional organization of the animal fatty acid synthase. Prog Lipid Res 42, 289317.CrossRefGoogle ScholarPubMed
35 Pfaffl, MW (2001) A new mathematical model for relative quantification in real-time RT-PCR. Nucleic Acids Res 29, E45.CrossRefGoogle ScholarPubMed
36 Seiliez, I, Gabillard, JC, Skiba-Cassy, S, et al. (2008) An in vivo and in vitro assessment of TOR signaling cascade in rainbow trout (Oncorhynchus mykiss). Am J Physiol Regul Integr Comp Physiol 295, R329R335.CrossRefGoogle Scholar
37 Torstensen, BE, Espe, M, Sanden, M, et al. (2008) Novel production of Atlantic salmon (Salmo salar) protein based on combined replacement of fish meal and fish oil with plant meal and vegetable oil blends. Aquaculture 285, 193200.CrossRefGoogle Scholar
38 Richard, N, Kaushik, S, Larroquet, L, et al. (2006) Replacing dietary fish oil by vegetable oils has little effect on lipogenesis, lipid transport and tissue lipid uptake in rainbow trout (Oncorhynchus mykiss). Br J Nutr 96, 299309.CrossRefGoogle ScholarPubMed
39 Gutierrez, J, Carrillo, M, Zanuy, S, et al. (1984) Daily rhythms of insulin and glucose levels in the plasma of sea bass Dicentrarchus labrax after experimental feeding. Gen Comp Endocrinol 55, 393397.CrossRefGoogle ScholarPubMed
40 Panserat, S, Medale, F, Breque, J, et al. (2000) Lack of significant long-term effect of dietary carbohydrates on hepatic glucose-6-phosphatase expression in rainbow trout (Oncorhynchus mykiss). J Nutr Biochem 11, 2229.CrossRefGoogle ScholarPubMed
41 Panserat, S, Plagnes-Juan, E, Breque, J, et al. (2001) Hepatic phosphoenolpyruvate carboxykinase gene expression is not repressed by dietary carbohydrates in rainbow trout (Oncorhynchus mykiss). J Exp Biol 204, 359365.CrossRefGoogle Scholar
42 Panserat, S, Plagnes-Juan, E & Kaushik, S (2001) Nutritional regulation and tissue specificity of gene expression for proteins involved in hepatic glucose metabolism in rainbow trout (Oncorhynchus mykiss). J Exp Biol 204, 23512360.CrossRefGoogle ScholarPubMed
43 Panserat, S, Hortopan, GA, Plagnes-Juan, E, et al. (2009) Differential gene expression after total replacement of dietary fish meal and fish oil by plant products in rainbow trout (Oncorhynchus mykiss) liver. Aquaculture 294, 123131.CrossRefGoogle Scholar
Figure 0

Table 1 Composition of the four diets with the proportions of plant protein (PP) and the proportions of vegetable oil (VO) indicated for each diet

Figure 1

Table 2 Primers used to amplify rainbow trout (Oncorhynchus mykiss) target genes by real-time RT-PCR

Figure 2

Fig. 1 Phosphorylation of protein kinase B (Akt) at Ser473 (A), target of rapamycin (TOR) at Ser2448 (B) and S6 at Ser235/236 (C) in the livers of rainbow trout (Oncorhynchus mykiss) deprived of food for 5 d, refed ad libitum and sampled 2 h after administration of the 100 % fish meal–100 % fish oil diet (diet 0/0). The gel was loaded with 40 μg of total protein per lane. Phosphorylation levels of Akt at Ser473, Akt, TOR at Ser2448, TOR, S6 at Ser235/236 and S6 were quantified and data were normalised to total amounts of Akt, TOR and S6, respectively. Western blots were performed on six individual samples and similar results were obtained; representative blots are shown. Results are means (n 6), with standard errors represented by vertical bars. * Mean value was significantly different from that of the fasted group (P < 0·05; Mann–Whitney test).

Figure 3

Fig. 2 Levels of expression of mRNA encoding hepatic genes in the livers of rainbow trout (Oncorhynchus mykiss) deprived of food for 5 d (■), refed ad libitum and sampled 8 h after administration of the 100 % fish meal–100 % fish oil diet (diet 0/0) (▨). Glucose 6-phosphatase isoform 1 (G6Pase-1) (A), glucose 6-phosphatase isoform 2 (G6Pase-2) (B), fructose 1,6-bisphosphatase (FBPase) (C), mitochondrial phosphoenolpyruvate carboxykinase (mPEPCK) (D), pyruvate kinase (PK) (E), fatty acid synthase (FAS) (F), carnitine palmitoyltransferase 1 isoform A (CPT1A) (G) and carnitine palmitoyltransferase 1 isoform B (CPT1B) (H) mRNA levels were estimated using real-time RT-PCR. Expression values were normalised with elongation factor 1α (EF1α)-expressed transcripts. Results are means (n 6), with standard errors represented by vertical bars. * Mean value was significantly different from that of the fasted group (P < 0·05; Mann–Whitney test). † Mean value was marginally different from that of the fasted group (P = 0·06; Mann–Whitney test).

Figure 4

Table 3 Growth performance and plasma parameters measured over the 12-week feeding trial(Mean values and standard deviations)

Figure 5

Fig. 3 Effects of diet 0/0 (100 % fish meal (FM), 100 % fish oil (FO)), diet 50/50 (50 % FM and 50 % plant protein (PP), 50 % FO and 50 % vegetable oil (VO)), diet 50/100 (50 % FM and 50 % PP, 100 % VO) and diet 100/100 (100 % PP, 100 % VO) on phosphorylation of protein kinase B (Akt) at Ser473 (A), target of rapamycin (TOR) at Ser2448 (B) and S6 at Ser235/236 (C) in rainbow trout (Oncorhynchus mykiss) livers, 2 h after refeeding. The gel was loaded with 20 μg of total protein per lane. Phosphorylation levels of Akt at Ser473, Akt, TOR at Ser2448, TOR, S6 at Ser235/236 and S6 were quantified and data were normalised to total amounts of Akt, TOR and S6, respectively. Western blots were performed on six individual samples and similar results were obtained; representative blots are shown. Results are means (n 6), with standard errors represented by vertical bars. Results were analysed by the Kruskall–Wallis test; there were no significant differences between the groups.

Figure 6

Fig. 4 Effects of of diet 0/0 (100 % fish meal (FM), 100 % fish oil (FO)) (■), diet 50/50 (50 % FM and 50 % plant protein (PP), 50 % FO and 50 % vegetable oil (VO)) (▨), diet 50/100 (50 % FM and 50 % PP, 100 % VO) () and diet 100/100 (100 % PP, 100 % VO) (▧) on the levels of expression of mRNA encoding hepatic metabolism-related genes. Glucose 6-phosphatase isoform 1 (G6Pase-1) (A), glucose 6-phosphatase isoform 2 (G6Pase-2) (B), fructose 1,6-bisphosphatase (FBPase) (C), mitochondrial phosphoenolpyruvate carboxykinase (mPEPCK) (D), pyruvate kinase (PK) (E), fatty acid synthase (FAS) (F), carnitine palmitoyltransferase 1 isoform A (CPT1A) (G) and carnitine palmitoyltransferase 1 isoform B (CPT1B) (H) mRNA levels were estimated using real-time RT-PCR. Expression values were normalised with elongation factor 1α (EF1α)-expressed transcripts. Results are means (n 6), with standard errors represented by vertical bars. a,b Mean values with unlike letters were significantly different (P < 0·05; Kruskall–Wallis test).