Introduction
Compound diets used for intensive fish farming still contain high levels of marine feedstuffs. This impairs the sustainability of fish production, while aquaculture should be a solution to the decrease in marine natural resources (Naylor et al., Reference Naylor, Goldberg, Primavera, Kautsky, Beveridge, Clay, Folke, Libchenko, Mooney and Troell2000; New and Wijkstroem, Reference New and Wijkstroem2002). Diets for salmonids, for instance, include large amounts of fish oil, because the addition of dietary lipids has a sparing action on proteins (Sargent et al., Reference Sargent, Tocher and Bell2002). Given that fish oil is a limited natural resource (New and Wijkstroem, Reference New and Wijkstroem2002), much effort is being devoted towards research on alternatives to fish oil in the diets of farmed fish.
Increasing dietary fish oil has a nitrogenous sparing effect and improves the quality of fish flesh for human consumption (Sargent et al., Reference Sargent, Tocher and Bell2002). Flesh content of n-3 polyunsaturated fatty acids (PUFAs) reflects the dietary content of these fatty acids. Attention must be paid to conserving in fish flesh high levels of eicosapentaenoic acid (EPA; 20:5n-3) and docosahexaenoic acid (DHA; 22:6n-3), known to play an essential role in protection against cardiovascular risk, diabetes type 2 and neurodegenerative disease in humans (Bourre, Reference Bourre2005; Ismail, Reference Ismail2005, Nettleton and Katz, Reference Nettleton and Katz2005). The implications of replacing dietary fish oil by a mix of vegetable oils have been widely studied in fish in recent years. It does not have marked effects on growth but liver fatty acid metabolism as well as muscle n-3 PUFA contents are affected in Atlantic salmon (Salmo salar) (Torstensen et al., Reference Torstensen, Lie and Froyland2000; Bell et al., Reference Bell, McEvoy, Tocher, McGhee, Campbell and Sargent2001 and Reference Bell, Henderson, Tocher, McGhee, Dick, Porter, Smullen and Sargent2002; Stubhaug et al., Reference Stubhaug, Tocher, Bell, Dick and Torstensen2005). However, using a fish oil ‘finishing diet’ at the end of the experiment can partially restore the EPA and DHA levels in fish flesh (Bell et al., Reference Bell, Tocher, Henderson, Dick and Crampton2003 and Reference Bell, Henderson, Tocher and Sargent2004; Torstensen et al., Reference Torstensen, Bell, Rosenlund, Henderson, Graff, Tocher, Lie and Sargent2005). This illustrates once again that the quality of the lipid depots is driven by the fatty acid composition of the diet. This effect may be directed through the modification of the intermediary metabolism. Indeed, it is well known that fatty acids such as EPA and DHA regulate hepatic gene expressions by controlling the activities or abundances of key transcription factors involved in the regulation of hepatic metabolic enzymes (Jump et al., Reference Jump, Botolin, Wang, Xu, Christian and Demeure2005; Sampath and Ntambi, Reference Sampath and Ntambi2005). In studies dealing with the substitution of fish oil by other lipid sources, the effects of removing fish oil is confounded with the effects of adding a source with a different fatty acid profile on overall metabolism (Bell et al., Reference Bell, McEvoy, Tocher, McGhee, Campbell and Sargent2001 and Reference Bell, Henderson, Tocher, McGhee, Dick, Porter, Smullen and Sargent2002; Jordal et al., Reference Jordal, Torstensen, Tsoi, Tocher, Lall and Douglas2005; Stubhaug et al., Reference Stubhaug, Tocher, Bell, Dick and Torstensen2005). From a quantitative point of view, we ourselves have found that an increase in supply of dietary fish oil modified the activities and expressions of key enzymes of the glucose metabolism and led to less-efficient carbohydrate metabolism in rainbow trout (Oncorhynchus mykiss) (Panserat et al., Reference Panserat, Perrin and Kaushik2002). Thus, it appears that the interaction between fish oil and intermediary metabolism must be better understood to provide the basis necessary for the successful replacement of fish oil in fish diets.
Thus, in the present study, we analysed the effects of the removal of dietary fish oil (residual fatty acids being supplied by fish meal) on two tissues: liver, as the centre of intermediary metabolism, and intestine, as the first organ in contact with nutrients. In order to keep constant the protein and carbohydrate ingestion, the animals were pair-fed, a quite original strategy in fish. We measured several enzyme activities and gene expression for candidate proteins involved in hepatic intermediary metabolism. In order to assess the effects parallel to digestive capacity, we measured the evolution of the fatty acid composition of the brush-border membranes (BBMs) and the activity of selected enzymes.
Material and methods
Fish and diets
A 7-week growth study was undertaken with duplicate groups of juvenile rainbow trout (100 fish per tank; initial body weight 139 g) reared in our experimental fish farm (INRA, Donzacq, France) at 18°C under natural photoperiod in spring. Two diets were formulated and manufactured in our experimental unit. Diet HL contained 15.5% fish oil (Table 1) and diet LL had no fish oil but had a higher level of fish meal (Table 1). Based on the analytical composition of the diet, the ration for each group was determined to ensure the pair-feeding of the animals (Table 2). Fish were hand-fed twice a day at 1.50% and 1.27% of body weight per day for groups HL and LL, respectively. Fish were group weighed by tanks each week, to adjust the rations.
Abbreviations are: HL: fish fed with fish oil; LL: fish fed without fish oil.
†Fish meal (Sopropèche, Boulogne-sur-Mer, France); CPSP: soluble concentrate of fish protein 70 (Sopropèche, Boulogne-sur-Mer, France); Fish oil: Feedoil (North Sea fish oil, Sopropèche, Boulogne-sur-Mer, France); Binder: Alginate GF 150 (Louis François exploitation, Saint-Maur, France); Gelatinised starch Amidaine A 200 (Amylum Aquitaine, Bordeaux, France); Mineral mixture (g or mg/kg diet): calcium carbonate (40% Ca), 2.15 g; magnesium oxide (60% Mg), 1.24 g; ferric citrate, 0.2 g; potassium iodide (75% I), 0.4 mg; zinc sulphate (36% Zn), 0.4 g; copper sulphate (25% Cu), 0.3 g; manganese sulphate (33% Mib), 0.3 g; dibasic calcium phosphate (20% Ca, 18% P), 5 g; cobalt sulphate, 2 mg; sodium selenite (30% Se), 3 mg; KCl, 0.9 g; NaCl, 0.4 g (UPAE (unité de préparation des aliments expérimentaux, Jouy, INRA, France)); Vitamin mixture (IU or mg/kg diet): DL-a tocopherol acetate, 60 IU; sodium menadione bisulphate, 5 mg; retinyl acetate, 15 000 IU; DL-cholecalciferol, 3000 IU; thiamin, 15 mg; riboflavin, 30 mg; pyridoxine, 15 mg; B12, 0.05 mg; nicotinic acid, 175 mg; folic acid, 500 mg; inositol, 1000 mg; biotin, 2.5 mg; calcium panthotenate, 50 mg; choline chloride, 2000 mg (UPAE (unité de préparation des aliments expérimentaux, Jouy, INRA, France)).
‡Starch deduction = 100 × (energy – (39.6 × %lipid + 23.2 × %protein))/17.2.
Abbreviations are: HL: fish fed with fish oil; LL: fish fed without fish oil.
†Feed intake: [analytical composition of diets in nutrient (%) × daily ration size (g)]/100 g fish.
‡Fatty acid intake: [analytical composition for each fatty acids (in % of fatty acids) × analytical composition of diets in lipid (%)/100 × daily ration size (g)]/100 g fish.
Tissue and blood sampling, and brush-border membranes isolation
At the end of the growth trial, 12 fishes from each group were randomly sampled 8 h after the meal and sacrificed by a sharp blow on the head. This delay was chosen because we have previously shown that it corresponds to the post-prandial peak of nutrient absorption at this water temperature (Panserat et al., Reference Panserat, Perrin and Kaushik2002). Gut contents of the sampled animals were systematically checked to make sure that the fish sampled had consumed the diet. The liver was immediately dissected and weighed and the intestine was open and washed for remaining digesta in sterile ice-cold saline solution (NaCl 9‰). Tissues were weighed and immediately frozen in liquid nitrogen and kept at −80°C pending assays. Blood was removed from the caudal vein and centrifuged (3000 × g, 5 min), and the recovered plasma was immediately frozen and kept at −20°C pending the analyses of glucose, free fatty acids and triacylglycerols.
A fraction of the liver samples was reserved for the analysis of gene expression; the remaining part was used for enzyme activity measurements. The BBMs were purified from the intestine (avoiding any contamination by perivisceral fat and pancreatic tissues from the caeca) prior to the enzyme assays. To this end, two samples of intestines were pooled, so that we constituted six replicates per tank. Intestines were homogenised in Tris–Mannitol buffer. Of this homogenate, 10% was kept for lipase assays and the rest was used for purifying the BBMs of the enterocytes using the method of Crane et al. (Reference Crane, Bogé and Rigal1979).
Chemical composition
Chemical composition of the diets
The two experimental diets were analysed using the following procedures: dry matter after drying at 105°C for 24 h, starch by the gluco-amylase glucose oxydase method (Thivend et al., Reference Thivend, Mercier and Guilbot1972) and gross energy in an adiabatic bomb calorimeter (IKA, Heitersheim Gribheimer, Germany). Protein content (N × 6.25) was determined by the Kjeldahl method after acid digestion. Total liver lipids were determined by the method of Folch et al. (Reference Folch, Lees and Stanley1957), after extraction by dichloromethane rather than chloroform. Fatty acid composition of diets was determined in the total lipid extract. Fatty acid methyl esters (FAME) were prepared by acid-catalyzed transmethylation of total lipids using boron trifluoride (BF3) in methanol according to Shantha and Ackman (Reference Shantha and Ackman1990) and were separated using a Varian 3400 gas chromatograph. FAME were identified by comparison with known standard mixtures (Sigma, St Louis, MO, USA) and quantified.
Fatty acid composition of the brush-border membranes
Of the purified BBM, 80% was used for lipid extraction. This was performed using the micro-method described by Jones et al. (Reference Jones, Harwood, Bowen and Griffiths1992). FAME prepared from the lipidic extract of the BBM fraction were separated by gas chromatography, in an AutoSystem PerkinElmer (PerkinElmer, Waltham, MA, USA) with a flame ionisation detector, BPX 70 capillary column (25 m × 0.22 mm i.d. × 0.25 μm film thickness), split–splitless injector, with helium as the carrier gas. The injector and detector temperatures were, respectively, 220°C and 260°C. Initial temperature of the oven was 50°C, increasing to 180°C by increments of 15°C/min, maintained for 5 min, and finally increased to 220°C by increments of 3°C/min.
Plasma metabolites
Plasma glucose concentration was determined using the glucose oxidase method in a Beckman glucose analyser (Beckman II; Beckman Instruments Inc., Brea, CA, USA). Plasma triacylglycerol levels were measured by colorimetric enzymatic assay using hepatic lipase (EC 3.1.1.3), glycerokinase (EC 2.7.1.30), glycerol-3-phosphate oxidase (EC 1.1.3.21) and peroxidase (EC 1.1.11) as enzymes (PAP 150 kit; Biomérieux, Marcy-l’étoile, France). Plasma fatty acid levels were measured by colorimetric enzymatic assay using acyl-CoA synthetase, acyl-CoA oxydase and peroxydase as enzymes (Wako Nefa C kit; Wako Chemicals GmbH, Neuss, Germany).
Enzyme activities
Enzyme activities were performed on frozen-thawed tissues. Enzyme activities were expressed per mg of protein. Protein concentration was determined according to Bradford (Reference Bradford1976) using a protein assay kit (Bio-Rad, München, Germany) with bovine serum albumin as standard.
Measurement of activities of digestive enzymes in intestine
We analysed the lipase-like enzymes, a non-specific lipase that can hydrolyse carboxyl ester bonds of acyl-glycerols and other minor dietary fats, including cholesterol esters. Its activity likely reflects the effective lipolytic capacity of the intestinal tract. The other enzymes were indicators of BBM functionality: aminopeptidase N (EC 3.4.11.2); γ-glutamyl-transpeptidase (EC 2.3.2.2); alkaline phosphatase (EC 3.1.3.1) and maltase (EC 3.2.1.20). Enzymatic activities were assayed on 20% of the purified BBM fraction except for lipase-like activities, which were assayed directly with the homogenates following the method described by Iijima et al. (Reference Iijima, Tanaka and Ota1998). Aminopeptidase N, γ-glutamyl-transpeptidase, maltase and alkaline phosphatase were assayed in purified BBM fractions, according to Maroux et al. (Reference Maroux, Louvard and Baratti1973), Meister et al. (Reference Meister, Tate and Griffith1981), Dahlqvist (Reference Dahlqvist1970) and Bessey et al. (Reference Bessey, Lowry and Brock1946), respectively.
Measurement of activities for hepatic metabolic enzymes
Among the enzymes involved in lipogenesis and fatty acid metabolism, we selected fatty acid synthase (FAS, EC.2.3.1.48), acetyl-CoA carboxylase (ACC, EC6.4.1.2), 3-hydroxyacyl-CoA dehydrogenase (HOAD, EC.1.1.1.35) known to be highly regulated by nutrients (Sul and Wang, Reference Sul and Wang1998; Reddy and Hashimoto, Reference Reddy and Hashimoto2001; Tong, Reference Tong2005). We measured also activity and expression of glucose-6-phosphate dehydrogenase (G6PD, EC.1.1.1.49) and NADP-isocitrate dehydrogenase (ICDH-NADP, EC.1.1.1.42) because these NADPH-productive enzymes are linked to lipid metabolism (Salati and Amir-Ahmady Reference Salati and Amir-Ahmady2001, Koh et al., Reference Koh, Lee, Son, Lee, Ryoo, Chang, Park, Park, Song, Veech, Song and Huh2004). Measures of lipogenic FAS and G6PD activities were carried out as described by Richard et al. (Reference Richard, Kaushik, Larroquet, Panserat and Corraze2006). ACC activity was assayed using an isotopic method as previously described for rainbow trout (Rollin et al., Reference Rollin, Médale, Gutieres, Blanc and Kaushik2003), where the activities of the two ACC isoforms, ACCα and ACCβ, were probably measured together. HOAD enzyme activities were determined following the method by Kobayashi et al. (Reference Kobayashi, Jiang and Hashimoto1996). ICDH-NADP enzyme activities have been obtained by measuring NADP reduction at 340 nm after addition of 89.7 mmol/l TEA-HCl at pH 7.4, 41 mmol NaCl, 0.34 mmol/l NADP, 0.43 mmol/l MnSO4, 4.17 mmol/l dl-isocitrate in samples after sonication and centrifugation at 12 000 × g (liver samples have been homogenised in a cold ice buffer: 20 mmol.l Tris–HCl pH 7.4, 250 mmol/l manitol, 2 mmol/l EDTA, 100 mmol/l NaF, 10 mmol/l mercaptoethanol, 0.5 mmol/l PMSF). The glycolysis pathway was analysed through assaying glucokinase (GK, EC 2.7.1.2), 6-phosphofructokinase (6-PF1K, EC) and pyruvate kinase (PK, EC.2.7.1.40). We also measured the activities of glucose-6-phosphatase (G6Pase, EC.3.1.3.9), fructose-1.6-biphosphatase (FBPase, EC.3.1.3.1.1) and phosphoenolpyruvate carboxykinase (PEPCK, EC.4.1.132), key regulators of the gluconeogenic pathway (Pilkis and Granner, Reference Pilkis and Granner1992; Van Schaftingen and Gerin, Reference Van Schaftingen and Gerin2002). Glycolytic (GK and PK) and gluconeogenic (G6Pase, FBPase and PEPCK) enzyme activities were measured as previously described (Kirchner et al., Reference Kirchner, Kaushik and Panserat2003b). Measures of 6-PFK1 activities have been performed following Meton et al. (Reference Meton, Mediavilla, Caseras, Cantó, Fernández and Baanant1999) with aldolase, triosephosphate isomerase and glycerol-3-phosphate dehydrogenase as co-enzymes. Protein metabolism is also particular in fish because it is orientated towards the oxidation of dietary amino acids for energetic purposes (Cowey and Walton, Reference Cowey and Walton1989). We measured as described by Mambrini et al. (Reference Mambrini, Vachot and Kaushik1998) the expression of the key enzyme of this pathway, glutamate dehydrogenase (GDH, EC.1.4.1.3), which has a higher activity in fish compared with mammals (Dabrowski and Guderley, Reference Dabrowski and Guderley2002).
Gene expression analysis by real-time quantitative RT-PCR
Total RNAs were extracted from rainbow trout liver or from the anterior intestinal segment using TRIzol® reagent (Invitrogen, Carlsbad, CA, USA). A total of 1 μg of total RNA was reverse transcribed to cDNA with the Superscript™ III RNAse H Reverse Transcriptase kit (Invitrogen) using oligo dT primers. Gene expression levels were determined by real-time quantitative RT-PCR (q-PCR) using the iCycler iQ™ (BIO-RAD, Hercules, CA, USA). Analyses were performed on 10 μl of the RT reaction mixture using the iQ™ SYBR® Green Supermix (BIO-RAD, Hercules, CA, USA). The total volume of the PCR reaction was 25 μl, containing 200 nmol/l of each primer. Primers were designed so that they are overlapping an intron if possible (Primer3 software; Whitehead Institute for Biomedical Research/MIT Center, Cambridge, MA, USA) using known sequences in nucleotide databases (Table 3). Database (Genbank, http://www.genome.ad.jp/htbin/www_bfind?dnatoday; National Institute of Agronomic Research (INRA) – Sigenae http://ensembl-sigenae.jouy.inra.fr/; Tigr Gene Index; http://compbio.dfci.harvard.edu/tgi/) accession numbers for rainbow trout genes were: gb|AF135403|-Genbank (gk), gb|AF120150|-Genbank (g6pase), gb|AF333188|-Genbank (fbpase), gb|AF246149|-Genbank (m-peck), tcaa0001c.m.06_5.1.om.4-Sigenae (fas), tcbk0010c.b.21_5.1.om.4-Sigenae (acc: highly similar to ACC irrespective of the isoform: α or β), tcad0001a.i.15_3.1.om.4-Sigenae (hoad short chain), TC72180-Tigr (g6pd), 15072560.1.om.4-Sigenae (icdh-nadp) and gb|AJ419571|-Genbank (gdh isoform 2). We measured the level of acc transcripts without discerning accα and accβ because the genes coding for the two isoform cDNAs are still not characterised at the molecular level in all the rainbow trout genomic resources we screened (Tigr, Unigene, Sigenae EST databases). GDH is encoded by a multigene family; because the expression of each gene is tissue specific, we chose to focus on the major transcript in the liver, gdh2, and used the primers specific for this transcript that are already designed (M. Mambrini, personal communication). The q-PCR amplified products were checked for specificity by sequencing.
†Positioned following the corresponding (heterologous) zebrafish or mammalian gene sequences: exon n (En), exon boundaries (En/En+1), or untranslated region (UTR) (http://www.ensembl.org/).
‡Primer sequences were chosen either on (a) specific trout sequence highly similar to liver 6PFK1 isoform (5’ UTR) (tcbk0069c.k.05_5.1.om.4 (Agenae EST name)) or (b) on conserved nucleotide sequences between liver 6-PFK1 in different animal species: Canis familiaris (Ensembl Gene ID ENSCAFG00000010846); Homo sapiens (Genbank: BC006422); Rattus norvegicus (genbank: BC061791) (using degenerated primers chose where Y = C/T; R = G/A).
Relative quantification of the target gene transcript was done using ef1α gene expression as reference (Olsvik et al., Reference Olsvik, Lie, Jordal, Nilsen and Hordvik2005). Thermal cycling was initiated with the incubation at 95°C for 90 s for hotstart iTaq™ DNA polymerase activation. In all, 35 steps of PCR were performed, each one consisting of heating at 95°C for 20 s for denaturing, and at 59°C for 30 s for annealing and extension, except for gdh2, for which the temperature was set at 60°C. Following the final cycle of the PCR, melting curves were systematically monitored (55°C temperature gradient at 0.5°C/s from 55°C to 94°C) to ensure that only one fragment was amplified. Samples without reverse transcriptase and samples without RNAs were run for each reaction as negative controls.
Data analysis
Data are presented as means ± standard deviation. Except for q-PCR data analysis, we analysed the different diets with an unpaired two-tailed Student’s t-test (Statistical Packages for the Social Sciences, 1999). Relative quantification of the target gene transcript with ef1α reference gene transcript was made following the Pfaffl method with the Relative Expression Software tool (REST©) (Pfaffl et al., Reference Pfaffl2001 and Reference Pfaffl, Horgan and Dempfle2002). This mathematical algorithm computes an expression ratio, based on q-PCR efficiency and the crossing point deviation of the unknown sample v. a control group: R = [(E target gene)ΔCTtarget gene(mean control − mean unknown sample)]/[(E EF1α)ΔCTEF1α(mean control − mean unknown sample)] where E is the PCR efficiency determined by a standard curve using the serial dilution of cDNA (cDNA dilutions from 1/16 up to 1/512) (E has been accepted when >90%); ΔCT the crossing point deviation of an unknown sample v. a control. Statistical differences in gene expression between control and sample were evaluated in groups means by randomisation tests (Pfaffl et al., Reference Pfaffl, Horgan and Dempfle2002) using REST© software. In all, 2000 random allocations were performed. For all the statistical tests, significant differences were considered at P < 0.05.
Results
During the growth study, mortality was low in all tanks and unrelated to experimental treatments and there were no external pathological signs. Fish consumed their ration entirely, so with pair-feeding, it was mainly the intake of lipids (such as PUFA n-3 fatty acid) that was different between the HL and LL fish (Table 2). Growth performance of juvenile rainbow trout fed with the HL diet was significantly higher than that of fish fed LL (Table 4; P < 0.01, Student’s t-test). The best protein efficiency ratio was observed in fish fed HL (Table 4; P < 0.05, Student’s t-test). The liver weight and the hepatosomatic index were significantly higher in HL- than in LL-fed fish (P < 0.05, Student’s t-test). We observed that LL-fed fish had much lower mass of perivisceral fat tissue than HL-fed fish (visual observation; data not shown). Glycaemia was not affected by the nature of the dietary treatment (Table 4). Plasma free fatty acid and triglyceride levels were higher in trout fed with HL than in those fed with the LL diet (Table 4; P < 0.01, Student’s t-test).
Abbreviations are: HL: fish fed with fish oil; LL: fish fed without fish oil.
Data are expressed as means ± standard deviation.
†P-values are shown when the differences are significant (P < 0.05, Student’s t-test); ns: not significant (Student’s t-test, P > 0.05).
‡Daily growth index: 100 × (FBW1/3 − IBW1/3)/duration (49 days). Feed efficiency: wet weight gain (g)/dry feed intake (g). Protein efficiency ratio: Wet weight gain (g)/crude protein intake (g).
§Hepatosomatic index: (liver weight/body weight) × 100.
¶Plasma parameters measured 8 h after feeding.
Reduction in the intake of lipids induced changes in intestinal digestive capacities (Table 5). Alkaline phosphatase, aminopeptidase N and γ-glutamyl peptidase-specific activities were significantly lower in LL fish than in HL fish (P < 0.05, Student’s t-test). The most important decrease in activity associated with fish oil removal was observed for lipase-like enzymes (P < 0.05, Student’s t-test). We did not notice significant effects on the fatty acid composition of the BBM (Table 5).
Abbreviations are: HL: fish fed with fish oil; LL: fish fed without fish oil; EPA: eicosapentaenoic acid; DHA: docosahexaenoic acid.
†P-values are shown when the differences are significant (P < 0.05, Student’s t-test); ns: not significant (P > 0.05).
The removal of dietary fish oil did not affect the activity and expression of hepatic FAS and HOAD (Tables 6 and 7). ACC activity was three times higher in fish fed the LL diet compared with those fed the HL diet (Table 6, P < 0.01, Student’s t-test). In contrast, acc gene expression coding, irrespective of α or β isoform, was not significantly different between HL and LL fish (Table 7). The activity of the cytosolic enzymes producing NADPH (G6PD and ICDH-NADP) were 1.5 times higher in fish fed the LL diet compared with fish fed the HL diet (Table 6, P < 0.05, Student’s t-test). By contrast, the expression of the genes coding for these enzymes was not affected by the dietary treatment (Table 7). Glycolytic enzyme activities and gene expressions were not affected by the feeding regimes (Tables 6 and 7). In contrast, gluconeogenic enzymes were affected by the dietary treatment at both molecular and enzymatic levels: (i) transcripts of the first and last gluconeogenic enzymes (g6pase and mpepck) were significantly expressed at lower level in fish fed the LL diet compared with fish fed the HL diet (Table 7, P < 0.01, Rest test) but without any modification of enzymatic activities (Table 6); and (ii) the FBPase enzyme had higher activity in fish fed the LL diet compared with fish on HL (Table 6; t-test, P < 0.05) but fbpase gene expression was not affected by the dietary treatment (Table 7). Finally, the key enzyme involved in liver amino acid oxidation, the GDH enzyme, presented similar levels of molecular expression and enzymatic activity between the two dietary conditions (Tables 6 and 7).
Abbreviations are: HL: fish fed with fish oil; LL: fish fed without fish oil.
Data are expressed as means ± standard deviation (n = 12) except for fatty acid synthase, Glucose-6-phosphate dehydrogenase, 3-hydroxyacyl-CoA dehydrogenase, Acetyl-CoA-carboxylase and NADP-isocitrate dehydrogenase (n = 6).
†P-values are shown when the differences are significant (P < 0.05, Student’s t-test); ns: not significant (P > 0.05, Student’s t-test).
‡Total acetyl-coA-carboxylase (ACC) activity: ACCα + ACCβ.
§Total phosphoenolpyruvate carboxykinase (PEPCK) activity: mitochondrial PEPCK + cytosolic PEPCK. In trout liver, 90% of PEPCK activity is mitochondrial (Kirchner et al., Reference Kirchner, Kaushik and Panserat2003a).
Abbreviations are: HL: fish fed with fish oil; LL: fish fed without fish oil.
†ns: not significant (randomisation tests REST©, P > 0.05).
‡nd: non-detectable. Irrespective of the primers used in our assays (see Table 2), no successful amplification by RT-PCR for this gene has been obtained using hepatic total RNAs; the success was obtained only with total RNAs from muscle.
Discussion
The main objective of our study was to evaluate the effects of dietary fish oil removal on the integrity of the digestive capacity and on liver intermediary metabolism in rainbow trout. We used a pair-feeding protocol in order to analyse the effect of dietary fish oil removal alone and not, as usually done, its replacement by vegetable oils (Bell et al., Reference Bell, McEvoy, Tocher, McGhee, Campbell and Sargent2001 and Reference Bell, Henderson, Tocher, McGhee, Dick, Porter, Smullen and Sargent2002; Stubhaug et al., Reference Stubhaug, Tocher, Bell, Dick and Torstensen2005). This strategy was rendered possible because the diet deficient in fish oil was based on fish meal containing on average 8% fat. This amount is sufficient to provide to rainbow trout the amount of essential fatty acids corresponding to the requirements (National Research Council, 1993). With the pair-feeding technique, we succeeded in modifying the lipid intake of fish while maintaining the protein and carbohydrate supplies. This is shown by the plasma level of glucose, which was not affected by the dietary treatment, when plasma levels of free fatty acids and triglycerides were lower for fish fed the diet without added fish oil. The removal of fish oil led to an overall decrease in growth performance, feed and protein efficiencies as expected due to the lower level of total energy intake.
Fish oil removal in the diet had several effects at the digestive tract level: lipolytic activity was lowered by 2.2-fold; activities of BBM digestive enzymes not linked to lipid metabolism were also greatly decreased (up to 40%) in the LL group. This reveals that the enterocyte membrane has a lower digestive capacity if fish are fed diets with low lipids. This result was not the consequence of a modification in fatty acid composition of the enterocyte BBM and therefore of membrane fluidity, because this composition remained unchanged after 7 weeks of fish oil removal in the diet. Our results contrast with those obtained with European sea bass (Dicentrarchus labrax), where the activities of the digestive enzymes of the BBM were reduced and the fatty acid composition of the BBM was significantly modified when the dietary lipid level was increased from 21% to 30% (Cahu et al., Reference Cahu, Zambonino Infante, Corraze and Coves2000). The fact that, in the present study, fatty acid composition of the enterocyte membranes was not affected by the dietary lipid level may be due to: (1) the lower lipid level of the control diet (HL diet) compared with the one employed in the study of Cahu et al. (Reference Cahu, Zambonino Infante, Corraze and Coves2000), (2) the rigorous control of the nutrient intake in the present study and (3) a difference between species in the lipid metabolism, e.g. higher capacity to synthesise and metabolise fatty acid in the trout intestine. In general, PUFA synthesis in enterocytes could be increased in fish fed diets in which dietary fish oil was replaced with a vegetable oil blend (Tocher et al., Reference Tocher, Bell, McGhee, Dick and Fonseca-Madrigal2003 and Reference Tocher, Fonseca-Madrigal, Dick, Ng, Bell and Campbell2004) strengthened by the similar levels of EPA and DHA in BBMs observed in this study. Studies on lipid metabolism (β-oxidation, biosynthesis) in the intestine are in progress. Overall, our data indicate that the digestive capacity was highly modulated in response to dietary fish oil removal.
It is well known that hepatic fatty acid metabolism is sensitive to regulation after feeding different quantities of dietary lipids in animals (Bergen and Mersmann, Reference Bergen and Mersmann2005). Moreover, previous studies have shown a close relationship between dietary lipids and hepatic lipid profiles in salmonids (Bell et al., Reference Bell, McEvoy, Tocher, McGhee, Campbell and Sargent2001 and Reference Bell, Henderson, Tocher, McGhee, Dick, Porter, Smullen and Sargent2002; Tocher et al., Reference Tocher, Bell, MacGlaughlin, McGhee and Dick2001). In spite of this, no dietary effects at the molecular and enzymatic levels were observed in the present study for two key enzymes catalysing both the mitochondrial fatty acid β-oxidation (HOAD) and fatty acid biosynthesis (FAS). Concerning the absence of FAS regulation, our results are different from that found in mammals (Sampath and Ntambi, Reference Sampath and Ntambi2005) but in accordance with data obtained on rainbow trout fed diets with distinct (highly unsaturated) fatty acid profiles (Richard et al., Reference Richard, Kaushik, Larroquet, Panserat and Corraze2006; Tapia-Salazar et al., 2006) or different levels of lipids (Henderson and Sargent, Reference Henderson and Sargent1981; Gelineau et al., Reference Gelineau, Corraze, Boujard, Larroquet and Kaushik2001): therefore, our data confirm the low control by dietary lipid intake of hepatic FAS enzyme in rainbow trout. The absence of HOAD regulation by lipid intake suggests an absence of regulation of the mitochondrial fatty acid β-oxidation but other key enzymes such as the carnitine palmitoyltransferase I, which mediates the transport of fatty acids across the outer mitochondrial membrane have to be further studied. In contrast to FAS and HOAD enzymes, ACC, G6PD and ICDH-NADPH enzymatic activities were significantly higher in fish fed the diet deprived of fish oil suggesting higher production of malonyl-CoA and NADPH in LL fish as has been described in mammals (Sampath and Ntambi, Reference Sampath and Ntambi2005) and rainbow trout (Rollin et al., Reference Rollin, Médale, Gutieres, Blanc and Kaushik2003). Globally, the increase of G6PD, ICDH-NADP and ACC activities did not seem to be dependent on the mRNA levels. Thus, only three of the five hepatic enzymes of lipid metabolism studied here responded to the fish oil removal and this regulation was not linked to concomitant differential gene expression in the present nutritional challenge.
Due to the intricate nature of glucose, amino acid and lipid metabolism in liver, we analysed also the enzymes involved in glucose and amino acid metabolism. Moreover, there are particularities of the protein and carbohydrate nutrition, i.e. protein metabolism in fish is mainly orientated towards the oxidation of dietary amino acids for energetic purposes (Cowey and Walton, Reference Cowey and Walton1989) and dietary glucose is poorly used at the metabolic level (Hemre et al., Reference Hemre, Mommsen and Krogdahl2002). While there were no effects at the molecular and enzymatic levels for glycolytic enzymes (GK, 6PFK1 and PK) and for the key enzyme of amino acid oxidation (GDH), the expression of genes coding for key enzymes of the gluconeogenic pathway, g6pase and pepck were significantly modified. These genes are expressed at a high level in liver of carnivorous fish and are poorly controlled by dietary carbohydrates and fasted-fed status in rainbow trout (Panserat et al., Reference Panserat, Médale, Brèque, Plagnes-Juan and Kaushik2000, Reference Panserat, Plagnes-Juan, Breque and Kaushik2001a and Reference Panserat, Plagnes-Juan and Kaushikb). Their expressions were significantly reduced by the removal of fish oil in the present study. Our results confirm our previous finding in rainbow trout (Panserat et al., Reference Panserat, Perrin and Kaushik2002) and are in agreement with data obtained in mammals (Lam et al., Reference Lam, Carpentier, Lewis, van de Werve, Fantus and Giacca2003; Collins et al., Reference Collins, Xiong, Lupo, Liu and Cao2006). Our data suggest that the usual level of dietary fish oil in fish nutrition may be associated with the stimulation of the gluconeogenesis pathway, which at least partly explains the low metabolic dietary glucose utilisation in this carnivorous fish species (Hemre et al., Reference Hemre, Mommsen and Krogdahl2002). Intriguingly, we found higher FBPase activities (another gluconeogenic key enzyme) in fish fed the LL diet in contrast to the lower gluconeogenic g6pase and pepck gene expression observed in the same fish group. At present, we have no explanation for the apparent discordant regulation by dietary fish oil of the three gluconeogenic key enzymes in our study.
We succeeded to disconnect lipid supply to carbohydrate and protein supply with pair-feeding. However, our results are linked to three major intricate factors: the lowering of the overall energy (e.g. lipid) supply, the proper effect of fatty acid reduction and the restriction of intake of fish fed the LL diet. Because dietary and, in particular, lipid restriction extends the life spans, studies of the biological mechanism behind dietary restriction are of interest in many species (Han and Hickey, Reference Han and Hickey2005). In rat liver, dietary restriction results in up-regulation of gluconeogenic g6pase and pepck gene expression and a reduction of glycolytic (gk, pk), accα and icdh-nadp gene expressions (Dhabbi et al., Reference Dhabbi, Mote, Wingo, Tillman, Walford and Spindler1999; Spinder, Reference Spinder2001). These variations of gene expression were not observed in the trout fed diet LL, suggesting that our data were more related to the dietary fish oil removal per se than a lowering of energy intake. Moreover, we cannot determine which fatty acids were linked to the observed data because every fatty acid intake was more or less modified. Further studies using oral administration of fish oil/fatty acids (capsules filled with fish oil/fatty acids) or cell cultures will be necessary to delimitate the specific role of fish oil and/or fatty acids in rainbow trout.
Finally, it seems that dietary fish oil removal was well tolerated in rainbow trout and had no major effects on liver metabolism. Intestine was more sensitive to reduction in fish oil level. Further studies are now in progress to investigate globally the effects of fish oil in rainbow trout liver and intestine using integrative approaches.
Acknowledgements
SDC was supported by a post-doctoral INRA grant (2003–2005) and NR by a PhD grant INRA-IFREMER (2002–2005). This work was financed by AGENAE french programme (Analyse du GENome des Animaux d’Elevage), CIPA (Comité Interprofessionnel des Produits de l’Aquaculture), OFIMER (Office National Interprofessionnel des Produits de la Mer et de l’Aquaculture), and Aquitaine Region (no. CCRRDT-20040308001). We acknowledge M. M. Le Gall, H. Le Delliou, M. Necol, F. Gai, E. Plagnes-Juan, C. Vachot, M. J. Borthaire and L. Larroquet for their excellent technical assistance. We thank F. Terrier, Y. Hontang and F. Sandres for preparation of diets and rearing fish in INRA experimental farm (Donzacq, Landes, France).