New de novo sources of omega 3 (n-3) long chain polyunsaturated fatty acids (LC-PUFA) are required as alternatives to fish oil in aquafeeds in order to maintain adequate levels of the beneficial fatty acids, eicosapentaenoic and docosahexaenoic (EPA and DHA, respectively). The present study investigated the use of an EPA+DHA oil derived from transgenic Camelina sativa in Atlantic salmon (Salmo salar) feeds containing low levels of fishmeal (35%) and fish oil (10%), reflecting current commercial formulations, to determine the impacts on tissue fatty acid profile, intestinal transcriptome, and health of farmed salmon. Post-smolt Atlantic salmon were fed for 12-weeks with one of three experimental diets containing either a blend of fish oil/rapeseed oil (FO), wild-type camelina oil (WCO) or transgenic camelina oil (DCO) as added lipid source. The DCO diet did not affect any of the fish performance or health parameters studied. Analyses of the mid and hindgut transcriptomes showed only mild effects on metabolism. Flesh of fish fed the DCO diet accumulated almost double the amount of n-3 LC-PUFA than fish fed the FO or WCO diets, indicating that these oils from transgenic oilseeds offer the opportunity to increase the n-3 LC-PUFA in farmed fish to levels comparable to those found a decade ago.
New de novo sources of omega 3 (n-3) long chain polyunsaturated fatty acids (LC-PUFA) are required as alternatives to fish oil in aquafeeds in order to maintain adequate levels of the beneficial fatty acids, eicosapentaenoic and docosahexaenoic (EPA and DHA, respectively). The present study investigated the use of an EPA+DHA oil derived from transgenic Camelina sativa in Atlantic salmon (Salmo salar) feeds containing low levels of fishmeal (35%) and fish oil (10%), reflecting current commercial formulations, to determine the impacts on tissue fatty acid profile, intestinal transcriptome, and health of farmed salmon. Post-smolt Atlantic salmon were fed for 12-weeks with one of three experimental diets containing either a blend of fish oil/rapeseed oil (FO), wild-type camelinaoil (WCO) or transgenic camelinaoil (DCO) as added lipid source. The DCO diet did not affect any of the fish performance or health parameters studied. Analyses of the mid and hindgut transcriptomes showed only mild effects on metabolism. Flesh of fish fed the DCO diet accumulated almost double the amount of n-3 LC-PUFA than fish fed the FO or WCO diets, indicating that these oils from transgenic oilseeds offer the opportunity to increase the n-3 LC-PUFA in farmed fish to levels comparable to those found a decade ago.
It is widely recognized that the omega-3 (n-3) long-chain polyunsaturated fatty acids (LC-PUFA), eicosapentaenoic (EPA, 20:5n-3) and docosahexaenoic (DHA; 22:6n-3) acids, have beneficial health effects for humans [1-3]. Consequently, many organisations have published recommended daily intakes of EPA and DHA for human consumers (e.g. [4-5]). Although marine microalgae are the main producers of these fatty acids [6], they are accumulated through the marine trophic chain and, therefore, fish and seafood products are the main sources of n-3 LC-PUFA in human diets. Indeed, with traditional capture fisheries stagnating, aquaculture is the best option to provide these healthy fatty acids as farmed products accounted for up to 73.8 million tons of fish and seafood in 2014 [7] contributing to global n-3 LC-PUFA supply. However, fish meal and fish oil are major raw materials employed in the formulation of aquafeeds, and there is gap between the supply and demand of these marine resources, which are finite and limited on an annual basis [8]. Therefore, this has dictated that they must be increasingly replaced in feeds by alternatives including plant meals and vegetable oils. Therefore, modern, sustainable aquafeeds contain increasing levels of these terrestrial agriculture alternatives that contain no LC-PUFA, which has translated into a substantial reduction in the content of EPA and DHA in the flesh of farmed fish such as salmon over the last decade [9].Recently, new de novo sources of n-3 LC-PUFA has been developed from an oilseed crop, Camelina sativa, genetically modified to synthesize either EPA or EPA+ DHA [10]. Two such oils have been evaluated as replacements for fish oil in feeds for Atlantic salmon (Salmo salar) [11-13] and gilthead sea bream (Sparus aurata) [14], as well as mice [15]. In all the fish feeding trials the use of the new GM-derived oils supported comparable growth performance as well as enhanced deposition of n-3 LC-PUFA in flesh compared to fish fed diets containing wild-type camelinaoil. However, fish did not accumulate as high levels of these essential fatty acids as fish fed diets containing 100% fish oil as the single lipid source. The control diets in the previous trials were “gold standard” having high levels of fishmeal and fish oil such that the levels of total n-3 LC-PUFA (including 20:4n-3 and 22:5n-3) were in excess of 20% of total fatty acids, far higher that the EPA+DHA content in current salmon feeds in Norway (around 6% of total fatty acids). Therefore, while the feeds in the previous trials were formulated to test the ability of the new oils to support growth at the same level as in “ideal” high marine feeds, they did not reflect present sustainable feed formulations with high levels of plant proteins and vegetable oils.In the present trial, the efficacy of the oil containing both EPA and DHA from transgenic Camelina sativa was evaluated in Atlantic salmon feeds reflecting current commercial formulations. Thus, feeds were formulated with much lower levels of fishmeal than previously and a 1:1 blend of fish oil and vegetable oil, specifically rapeseed oil, was used in the positive control feed to reflect current practice. The effects of this new de novo source of EPA and DHA on fish performance, tissue fatty acid profiles, liver and intestine morphology, liver gene expression as well as mid and hindgut transcriptome were determined. In addition, the effect of an environmental stressor (chasing) on several fish blood and plasma parameters was evaluated.
Materials and methods
Production of oil from transgenic Camelina sativa
A construct containing a cassette of seven genes optimized for EPA and DHA synthesis (a Δ6-desaturase from Ostococcus tauri (OtΔ6), a Δ6 fatty acid elongase from Physcomitrella patens (PSE1) a Δ5-desaturase from Thraustochytrium sp. (TcΔ5), a Δ12-desaturase from Phytophthora sojae (PsΔ12), an ω3-desaturase from Phytophthora infestans (Pi- ω3), a Δ5-elongase from O. tauri and a Δ4-desaturase from Emiliania huxleyi) was used for transformation as described previously [10]. Seeds harvested from transformed plants were illuminated with green LED light and fluorescent seeds identified using a red lens filter. No obvious phenotypic perturbation was observed as a result of modification of the seed oil composition. Full details are provided in [10]. C. sativa was grown in a containment glasshouse at 23°C day/16°C night. Oil was extracted from seeds by cold-pressing and solvent extraction to maximize yield (PPM, Magdeburg, Germany), and stabilized by the addition of the anti-oxidant ethoxyquin (300 ppm).
Diets and feeding trial
Three isonitrogenous and isoenergetic diets were formulated to satisfy the nutritional requirements of salmon (Table 1). The diets supplied 45 g kg-1 crude protein and 21 g kg-1 crude lipid and were manufactured at BioMar Tech-Centre (Brande, Denmark). The diets had the same basal composition with added oil supplied by a 1:1 blend of fish oil/rapeseed oil, wild-type camelinaoil or EPA/DHA-camelinaoil and named FO, WCO and DCO, respectively. The fatty acid profiles of the oils used in the present trial are presented in S1 Table. A total of 342 post-smolt Atlantic salmon with an average body weight of 122.5 ± 0.3 (mean ± S.D.) were distributed into 9 400 L squared flow-through seawater tanks (38 fish per tank) and fed one of the three experimental feeds (twice daily) in triplicate for 12 weeks. The experimental tanks were equipped with lids fitted with 18W fluorescent light tubes and automatic feeders (Arvo-Tec T drum 2000, www.arvotec.fi), and fish were fed to excess to ensure that feed availability did not restrict growth. All procedures were approved by the Norwegian Animal Experiment Committee (Forsøksdyrutvalget), experiment ID.8089.
Table 1
Proximate and fatty acid compositions (percentage of fatty acids) of the three experimental feeds.
FO
WCO
DCO
Feed ingredients (%)
Fish meal
35.0
35.0
35.0
Soy protein concentrate (60%)
12.4
12.4
12.4
Wheat gluten
5.0
5.0
5.0
Maize gluten
12.0
12.0
12.0
Wheat
14.0
14.0
14.0
Fish oil
10
-
-
Rapeseed oil
10
-
-
Wild-type Camelina oil
-
20
-
EPA+DHA-Camelina oil
-
-
20
Vitamins/Minerals
1.6
1.6
1.6
Amino acids
0.7
0.7
0.7
Yttrium oxide
0.1
0.1
0.1
Analysed composition
Dry matter (%)
93.8
92.2
93.9
Protein (%)
45.2
45.8
44.9
Fat (%)
22.7
19.1
19.4
Ash
7.5
7.5
7.7
Fatty acid composition (%)
Total saturated1
12.4
16.6
17.4
Total monoenes2
49.4
31.3
19.8
18:2n-6
11.7
12.5
12.8
20:2n-6
0.1
1.7
0.8
20:3n-6
n.d.
n.d.
1.2
20:4n-6
0.2
n.d.
1.8
Total n-6 PUFA3
19.7
20.5
25.6
18:3n-3
3.7
30.2
14.0
20:3n-3
n.d.
1.2
0.7
20:4n-3
0.2
n.d.
2.6
20:5n-3
3.1
1.2
6.3
22:5n-3
0.3
n.d.
1.5
22:6n-3
2.8
2.0
6.3
Total n-3 PUFA4
11.0
34.9
33.8
Total PUFA
30.8
55.3
59.3
Total n-3 LC-PUFA
6.4
3.2
16.7
1Contains 14:0, 16:0, 18:0, 20:0, 22:0 and 24:0;
2Contains 16:1n-7, 18:1n-9, 18:1n-7, 20:1n-9, 22:1n-11 and 22:1n-9;
3Contains 18:2n-6;
4Contains 18:4n-3.
DCO, feed containing EPA+DHA oil from transgenic Camelina; FO, fish oil feed; LC-PUFA, long-chain polyunsaturated fatty acids (sum of 20:4n-3, 20:5n-3 22:5n-3 and 22:6n-3). n.d., not detected; WCO, wild-type Camelina oil feed.
1Contains 14:0, 16:0, 18:0, 20:0, 22:0 and 24:0;2Contains 16:1n-7, 18:1n-9, 18:1n-7, 20:1n-9, 22:1n-11 and 22:1n-9;3Contains 18:2n-6;4Contains 18:4n-3.DCO, feed containing EPA+DHA oil from transgenic Camelina; FO, fish oil feed; LC-PUFA, long-chain polyunsaturated fatty acids (sum of 20:4n-3, 20:5n-3 22:5n-3 and 22:6n-3). n.d., not detected; WCO, wild-type Camelinaoil feed.
Stress challenge test and sample collection
After 12 weeks of feeding, blood and tissues were sampled from randomly selected fish following 48 h fasting, either directly (0 h), or 4 h and 24 h after being subjected to an environmental stress (chasing with a stick for 10 min). At each sampling point fish were killed by overdose with metacaine sulphonate (> 150 mg l-1, FINQUEL vet., ScanAqua AS, Årnes, Norway) and blood from 4 fish per tank collected via the caudal vein by 1 ml heparinised syringes fitted with 20G needles and whole blood used for haematocrit determination prior to the stress (0 h) and at 4 h and 24 h post challenge. Blood samples were centrifuged at 10,000 g for 3 min to allow blood and plasma to separate and subsequently frozen on dry ice before storing at -80°C until further analysis.Samples of liver, midgut and hindgut from the same four fish used for blood extraction were collected, stabilised in RNA Later (Sigma, Poole, UK) and stored at -20°C prior to RNA extraction. Additionally samples of liver, mid and hindgut sections of intestine from the same 4 fish were dissected and placed in 4% buffered formaldehyde for histopathological evaluation. The hindgut was dissected from the point where the intestinal diameter increases, the mucosa becomes darker and rings are clearly observed. Samples of muscle (flesh), liver, brain, head kidney, midgut and hindgut from a further 3 fish per tank at 0 h were immediately frozen and stored at– 80°C prior to lipid and fatty acid analyses. All the remaining fish in the tank (31 fish) were killed by overdose with metacaine sulphonate and measured and weighed at the end of the stress challenge (24 h).
Proximate composition
Feeds were ground before determination of proximate composition according to standard procedures [16]. Moisture contents were obtained after drying in an oven at 110°C for 24 h and ash content determined after incineration at 600°C for 16 h. Crude protein content was measured by determining nitrogen content (N x 6.25) using automated Kjeldahl analysis (Tecator Kjeltec Auto 1030 analyzer, Foss, Warrington, UK) and crude lipid content determined gravimetrically after Soxhlet lipid extraction (Tecator Soxtec system 2050 Auto Extraction apparatus).
Calculations
Biometric parameters were estimated as follows: Fulton’s condition factor (k) = 100 * (W/L3), where W is the final weight (g) and L is the total length (cm). Specific growth rate (SGR) = 100 * (lnWo—ln Wf) * D-1, where Wo and Wf are the initial and final weights (tanks means), respectively, and D represents the number of feeding days.
Plasma analysis
Plasma cortisol analysis was performed by Cortisol Parameter Assay Kits (Cortisol ELISA, RE 52061, IBL, Hamburg, Germany). Plasma ion levels (sodium, potassium, chloride), alkaline phosphatase, glucose and lactate were analysed by MaxMat PL II (MaxMat, Montpellier, France). Osmolality was measured by Fiske® 210 Microsample Osmometer (Advanced Instruments Inc. Norwood, MA, USA).
Tissue lipid content and fatty acid composition
Samples of flesh, liver, brain, head kidney, midgut and hindgut from three fish per tank were prepared as pooled homogenates (n = 3 per treatment) and total lipid extracted from 1 g by homogenizing in chloroform/methanol (2:1, v/v) using an Ultra-Turrax tissue disrupter (Fisher Scientific, Loughborough, UK), and content determined gravimetrically [17]. Fatty acid methyl esters (FAME) were prepared from total lipid by acid-catalyzed transesterification at 50°C for 16 h [18], and FAME extracted and quantified by a gas chromatograph (AutoSystem XL, Perkin Elmer, Waltham, MA) with Total Chrom Version 6.3.1 software. The system was equipped with an auto-injector (1 μl, inlet temperature 250°C) and a flame ionisation detector (FID, 280°C). The temperature program for the oven was 90°C for 1 min, then raised to 150°C at 30 min-1 and finally raised to 225°C at 3°C min-1 and held for 7 min. Helium was used as the carrier gas and a fused silica capillary column coated with a chemically bonded polyethylene glycol (CP-Wax 52CB, 25 m × 0.25 mm i.d; Varian, Palo Alto, CA) was used. Individual methyl esters were identified by comparison with known standards and a well-characterized fish oil, and also by reference to published data [19].
RNA extraction and cDNA synthesis
Liver, midgut and hindgut from eighteen individual fish per dietary treatment were homogenized in 1 ml of TriReagent® (Sigma-Aldrich, Dorset, UK), total RNA isolated following manufacturer’s instructions, and quantity and quality determined by spectrophotometry using a Nanodrop ND-1000 (Labtech Int., East Sussex, UK) and electrophoresis using 200 ng of total RNA in a 1% agarose gel. Additionally the Agilent Bioanalyzer with the RNA LabChip kit (Agilent Technologies) was used to analyze approximately 300 ng of total RNA from a randomly selected number of samples (72 samples; 12 samples per treatment and tissue) and provide an RNA integrity number (RIN), which was higher than 8.0 in all samples (average RIN = 8.2). cDNA was synthesized as detailed in [20] and samples pooled to obtain n = 6 per dietary treatment.
Microarray hybridizations and image analysis
Transcriptome analysis of midgut and hindgut was performed using an Atlantic salmon custom-made oligoarray (ArrayExpress accession number A-MEXP-2065) with 44k features per array on a four-array-per-slide format (Agilent Technologies UK Ltd., Wokingham, UK). A dual-label experimental design using 18 microarrays was employed for the microarray hybridizations with Cy3-labelled test samples competitively hybridized to a common Cy5-labelled pooled-reference per array. The common reference was a pool of equal amounts of amplified RNA from all test samples.Indirect labelling and hybridization were performed as reported previously [11]. Briefly, 250 ng of total RNA were amplified (TargetAmpTM 1-Round Aminoallyl-aRNA Amplification Kit 101. Epicentre, Madison, Wisconsin, USA) and experimental and pooled reference labelled with Cy3 or Cy5, respectively (GE HealthCare, Little Chalfont, UK). Microarray hybridizations were performed in SureHyb hybridization chambers in a DNA Microarray Hybridization Oven (Agilent Technologies) with 825 ng of Cy3-labelled experimental biological replicate and Cy5-labelled reference pool being combined and total volume made up to 35 μl with nuclease-free water. Scanning was performed at 5 μm resolution using an Axon GenePix 4200AL Scanner (MDS Analytical Technologies, Wokingham, Berkshire, UK). Laser power was kept constant (80%) and PMT adjusted for each channel so that less than 0.1% features were saturated and the mean intensity ratio of the Cy3 and Cy5 signals was close to one. Details of the microarray experiment were submitted to ArrayExpress under accession number E-MTAB-5529.
Quantitative real time PCR
Expression of candidate genes as well as genes for microarray validation was determined by quantitative PCR (qPCR) in liver, mid and hindgut of fish from all treatments (S2 Table). Results were normalized using reference genes, hypoxanthine phosphoribosyltransferase 1 (hprt1) and ribosomal protein L2 (rpl2), chosen as the most stable according to GeNorm (stability number M = 0.176 and 0.184, respectively). Primers were designed using Primer 3 [21] in regions that included the microarray probes. qPCR was performed using a Biometra TOptical Thermocycler (Analytik Jena, Goettingen, Germany) in 96-well plates in duplicate 20 μl reaction volumes containing 10 μl of Luminaris Color HiGreen qPCR Master Mix (Thermo Scientific), 1 μl of the primer corresponding to the analyzed gene (10 pmol), 3 μl of molecular biology grade water and 5 μl of cDNA, with the exception of the reference genes, which were determined using 2 μl of cDNA. In addition, amplifications were carried out with a systematic negative control (NTC-no template control) containing no cDNA. Standard amplification parameters contained an UDG pre-treatment at 50°C for 2 min, an initial activation step at 95°C for 10 min, followed by 35 cycles: 15 s at 95°C, 30 s at the annealing Tm and 30 s at 72°C.
Tracking of the DsRed gene in Atlantic salmon anterior and posterior intestine
The absence of transgenic DNA in salmon tissues was confirmed by PCR of DNA extracted from fish midgut and hindgut. Genomic DNA was extracted using REALPURE extraction kit (Valencia, Spain) according to the manufacturer’s instructions. Briefly, tissue samples were incubated in 300 μl of lysis solution overnight at 55°C with 3 μl of Proteinase K. Following incubation, samples were cooled and RNase treatment performed (37°C for 60 min). After protein precipitation, DNA was precipitated by adding 600 μl of isopropanol and hydrated with 5mM Tris. Total DNA was quantified by spectrophotometry and quality determined by electrophoresis as described above. Two primers pairs targeting an endogenous Atlantic salmon gene (growth hormone; gh) and a transgene marker for GM–plants (red fluorescent protein, dsred) were used (S2 Table). Fifty ng of extracted DNA was used in PCR amplifications that were performed in a final volume of 10 μl, containing 5 μl of MyTaq™ HS Mix (Bioline, London, UK). Each set of PCR included a positive control (DNA from genetically modified-Camelina) and a non-template control (NTC).
Histological evaluation
Transversal sections of liver, midgut and hindgut fixed in 4% buffered neutral-formaldehyde were embedded in paraffin. Four μm sections of the intestines were stained with Alcian Blue/Periodic acid-Schiff (ABPAS) to differ between neutral/mixed and acidic mucosubstances in goblet cells, while liver was stained with PAS. Goblet cells (μm-2) were counted by using the Whole Slide Manager and the Count Tool in the stereology program newCAST (Visiopharm, Denmark). The number of neutral/mixed and acidic stained goblet cells were counted at 40x magnification in 10% of a predefined section area within the villi. The 10% fields of interest (FOI) were randomly selected by the program. A semi-quantitative scoring system adapted from [22] was used to independently score six separate parameters of enteritis within the proximal and distal intestines. These parameters are as follows: 1) the abundance of goblet cells (GC) within the villi; 2) the degree of widening of the lamina propria (LP) 3) the abundance eosinophilic granulocytes (EG) within the sub-epithelial mucosa (SEM) and the degree of infiltration into the LP; 4) the thickness of the SEM and 5) the abundance of intra-epithelial lymphocytes (IEL) within the villi. For evaluation of liver morphology, the modified [23] criteria were used, including nuclear, cytoplasmic and intracytoplasmic evaluation. In addition, the presence of carbohydrates in PAS stained sections was evaluated using a four grade examination scheme: 0, not observed; 1, few; 2, medium; 3, severe. A summary of the parameters for the evaluation of both tissues is presented in S3 Table. Sections were scanned with a NanoZoomer SQ (Hamamatsu Photonics Norden, Sweden).
Statistical analysis
All data are means ± S.D. (n = 3) unless otherwise specified. Percentage data were subjected to arcsin square-root transformation prior to statistical analyses. Data of fish performance, biometry and tissue fatty acid profiles were tested for normality and homogeneity of variances with Levene’s test prior to one-way analysis of variance (ANOVA) followed by a Tukey-Kramer HSD multiple comparisons of means. Data of plasma biochemistry after the challenge test were subjected to a two-way ANOVA test after checking that data were normal and homogeneous. Data from the histological scoring were analysed following the chi-squared analysis for non-parametric data. All statistical analyses were performed using SPSS software (IBM SPSS Statistics 19; SPSS Inc., Chicago, IL, USA).Statistical analysis of microarray hybridization data was performed in GeneSpring GX version 12.6.1 (Agilent Technologies, Wokingham, Berkshire, UK) using a Welch (unpaired unequal variance) t-test, at 0.05 significance given that often a fraction of the genes show unequal variability between groups [24]. Benjamini-Hochberg multiple test correction was employed. Data were submitted to the Kyoto Encyclopedia of Genes and Genomes (KEGG) [25] for biological function analysis. Gene expression results were analysed using the relative expression software tool (REST 2009; http://www.gene-quantification.info/), which employs a pairwise fixed reallocation randomization test (10,000 randomizations) with efficiency correction to determine the statistical significance of expression ratios (gene expression fold changes) between two treatments [26].
Results
Fish growth performance
After 12 weeks of feeding the experimental diets, fish more than doubled their weight, with no differences in fish weight, length or other performance parameters evaluated between fish fed the three dietary treatments (Table 2). No mortality or signs of disease were observed throughout the experimental period.
Table 2
Fish performance and survival over the 12-week experimental period.
FO
WCO
DCO
Initial weight (g)
122.4 ± 2.0
122.4 ± 2.60
122.9 ± 0.7
Initial length (cm)
22.3 ± 0.2
22.4 ± 0.2
22.3 ± 0.1
Final weight (g)
391.4 ± 8.5
406.5 ± 8.6
394.4 ± 14.4
Total length (cm)
31.5 ± 1.4
31.3 ± 1.7
31.7 ± 1.3
Survival (%)
100.0 ± 0.0
100.0 ± 0.0
100.0 ± 0.0
k
1.3 ± 0.0
1.3 ± 0.1
1.2 ± 0.0
SGR (%/day)
1.4 ± 0.0
1.4 ± 0.0
1.5 ± 0.1
DCO, feed containing EPA+DHA oil from transgenic camelina; FO, control (fish oil) feed; k, condition factor; SGR, specific growth rate; WCO, wild-type camelina oil feed. There were no significant differences.
DCO, feed containing EPA+DHA oil from transgenic camelina; FO, control (fish oil) feed; k, condition factor; SGR, specific growth rate; WCO, wild-type camelinaoil feed. There were no significant differences.
Lipid contents and fatty acid compositions of tissues
There were no differences in total lipid contents of flesh, brain, head kidney, midgut or hindgut among the dietary treatments (Tables 3–5). In liver, WCO-fed fish displayed the highest lipid contents (p < 0.05), with no difference between fish fed FO or DCO diets (Table 3). The fatty acid compositions showed some tissue-specific differences although they all largely reflected dietary fatty acid compositions (Tables 3–5). In this respect, muscle (flesh) of fish fed diet DCO showed higher proportions of EPA, DPA and DHA as well as n-3 LC-PUFA and n-6 PUFA, than fish fed either FO or WCO (Table 3). This was true also in absolute terms, with DCO-fed fish showing 931 mg of n-3 LC-PUFA per portion (130 g fillet) compared to only 587 mg and 494 mg in fish fed FO or WCO, respectively (S1 Fig). The proportions of EPA were also significantly higher in flesh, head kidney, midgut and hindgut in fish fed DCO than those fed the FO or WCO diets. The percentages of DHA in liver, head kidney, midgut and hindgut were equivalent in fish fed DCO to those fed diet FO. The percentages of DPA were significantly higher in all tissues, other than brain, in fish fed DCO compared to fish fed the other diets. In general, dietary effect on fatty acid composition were not as pronounced in brain as in the other tissues, with no differences among treatments in any of the totals for fatty acid groups or DHA and DPA (Table 4). Differences were observed between midgut and hindgut fatty acid profiles, particularly with DHA, with no differences in levels of this fatty acid between fish fed the three diets in midgut, whereas higher DHA levels were observed in hindgut of fish fed FO and DCO (Table 5).
Table 3
Lipid contents (percentage of wet weight) and fatty acid compositions (percentage of total fatty acids) of total lipid of flesh and liver after feeding the experimental diets for 12 weeks.
FO
WCO
DCO
Flesh
Lipid content
6.3 ± 0.9
5.6 ± 0.4
5.4 ± 0.8
16:0
11.5 ± 0.2a
9.6 ± 0.3c
10.6 ± 0.2b
Total saturated1
17.9 ± 0.3a
14.9 ± 0.2c
17.1 ± 0.2b
18:1n-9
25.4 ± 0.1a
17.8 ± 0.5b
12.5 ± 0.5c
Total monoenes2
47.7 ± 0.4a
33.3 ± 0.6b
23.3 ± 0.8c
18:2n-6
16.3 ± 0.4b
15.3 ± 0.0c
18.4 ± 0.1a
20:4n-6
0.3 ± 0.0b
0.2 ± 0.0b
1.5 ± 0.0a
Total n-6 PUFA3
18.2 ± 0.4b
17.9 ± 0.0b
23.0 ± 0.1a
18:3n-3
2.9 ± 0.1c
19.3 ± 0.2a
11.0 ± 0.2b
20:5n-3
2.2 ± 0.1b
1.9 ± 0.0c
4.7 ± 0.2a
22:5n-3
0.8 ± 0.0b
0.6 ± 0.0c
2.2 ± 0.0a
22:6n-3
6.8 ± 0.8b
6.2 ± 0.2b
10.4 ± 0.6a
Total n-3 PUFA4
14.2 ± 0.7b
32.6 ± 0.3a
33.5 ± 1.0a
Total PUFA
32.4 ± 0.3c
50.5 ± 0.4b
56.5 ± 1.0a
EPA + DHA
9.0 ± 0.8b
8.1 ± 0.2b
15.1 ± 0.7a
Total n-3 LC-PUFA
10.4 ± 0.7b
9.8 ± 0.3b
19.9 ± 0.8a
Liver
Lipid content
4.2 ± 0.6b
7.1 ± 1.6a
4.5 ± 0.5b
16:0
15.1 ± 1.7a
7.0 ± 0.9c
12.7 ± 1.6b
Total saturated1
21.8 ± 1.5a
12.2 ± 1.4b
20.8 ± 1.8a
18:1n-9
17.7 ± 3.5a
22.8 ± 1.0a
11.2 ± 1.4b
Total monoenes2
27.9 ± 6.5a
35.0 ± 2.0a
17.1 ± 2.3b
18:2n-6
9.9 ± 1.7b
15.4 ± 1.2a
10.5 ± 2.0b
20:4n-6
2.7 ± 0.9b
0.9 ± 0.1c
5.2 ± 0.7a
Total n-6 PUFA3
16.0 ± 0.3b
20.2 ± 1.3a
19.7 ± 1.8a
18:3n-3
1.4 ± 0.4c
14.0 ± 1.0a
5.7 ± 0.9b
20:5n-3
5.1 ± 1.4ab
3.0 ± 0.6b
6.6 ± 0.4a
22:5n-3
1.7 ± 0.2b
0.7 ± 0.2c
2.6 ± 0.2a
22:6n-3
25.0 ± 4.5a
9.1 ± 2.0b
22.9 ± 3.5a
Total n-3 PUFA4
33.9 ± 5.3ab
31.5 ± 1.8b
41.4 ± 2.6a
Total PUFA
50.0 ± 5.2b
51.7 ± 0.5b
61.1 ± 1.1a
EPA + DHA
30.1 ± 5.9a
12.1 ± 2.6b
29.4 ± 3.9a
Total n-3 LC-PUFA
32.3 ± 6.0a
14.3 ± 2.9b
34.1 ± 3.8a
Data expressed as means ± SD (n = 3). Different superscript letters within a row denote significant differences among diets. Statistical differences were determined by one-way ANOVA with Tukey’s comparison test (p < 0.05).
1Contains 14:0, 15:0, 18:0, 20:0 and 22:0;
2Contains 16:1n-7, 18:1n-7, 20:1n-9, 22:1n-11, 22:1n-9 and 24:1;
3Contains 20:2n-6 and 20:3n-6.
4Contains 18:4n-3, 20:3n-3 and 20:4n-3.
DCO, feed containing EPA+DHA oil from transgenic Camelina; FO, fish oil feed; LC- PUFA, long-chain polyunsaturated fatty acids (sum of 20:4n-3, 20:5n-3 22:5n-3 and 22:6n-3); WCO, wild-type camelina oil feed.
Table 5
Lipid contents (percentage of wet weight) and fatty acid compositions (percentage of total fatty acids) of total lipid of midgut and hindgut (n = 3) after feeding the experimental diets for 12 weeks.
FO
WCO
DCO
Midgut
Lipid content
5.0 ± 0.7
5.7 ± 1.3
4.4 ± 0.4
16:0
14.7 ± 0.8a
12.0 ± 1.4b
13.9 ± 0.4ab
Total saturated1
22.8 ± 1.1a
19.2 ± 1.9b
23.4 ± 0.9a
18:1n-9
19.5 ± 1.3a
16.6 ± 1.5a
12.0 ± 0.5b
Total monoenes2
35.3 ± 2.6a
29.5 ± 2.9b
20.6 ± 1.0c
18:2n-6
11.7 ± 1.2
12.5 ± 1.6
12.8 ± 1.0
20:4n-6
1.8 ± 0.2b
1.2 ± 0.4b
4.0 ± 0.3a
Total n-6 PUFA3
15.5 ± 1.0b
16.1 ± 1.1b
19.4 ± 0.9a
18:3n-3
2.1 ± 0.2c
13.1 ± 2.5a
6.5 ± 0.7b
20:5n-3
3.4 ± 0.4b
3.0 ± 0.5b
5.3 ± 0.2a
22:5n-3
1.0 ± 0.0b
0.9 ± 0.1c
1.9 ± 0.0a
22:6n-3
18.5 ± 1.7
13.9 ± 4.7
18.7 ± 2.1
Total n-3 PUFA4
25.9 ± 1.9b
34.5 ± 2.2a
35.9 ± 1.1a
Total PUFA
41.4 ± 1.0c
50.6 ± 1.1b
55.4 ± 0.4a
EPA + DHA
21.9 ± 2.1
17.0 ± 5.1
24.0 ± 2.1
Total n-3 LC-PUFA
23.2 ± 2.1ab
18.7 ± 5.0b
27.6 ± 1.9a
Hindgut
Lipid content
4.3 ± 0.4
6.1 ± 1.4
4.9 ± 0.4
16:0
13.9 ± 0.6a
11.2 ± 0.8b
12.9 ± 0.4a
Total saturated1
22.2 ± 0.7a
18.2 ± 1.4b
21.2 ± 0.7a
18:1n-9
19.2 ± 2.0a
17.1 ± 0.9a
13.3 ± 1.0b
Total monoenes2
35.0 ± 3.7a
30.6 ± 1.8a
22.9 ± 1.4b
18:2n-6
10.9 ± 1.4
12.8 ± 1.0
13.2 ± 0.7
20:4n-6
1.3 ± 0.1b
0.8 ± 0.2b
2.9 ± 0.3a
Total n-6 PUFA3
14.8 ± 1.2b
16.5 ± 0.8b
19.4 ± 0.9a
18:3n-3
2.0 ± 0.2c
13.9 ± 1.5a
6.9 ± 0.4b
20:5n-3
3.6 ± 0.5b
3.1 ± 0.6b
5.0 ± 0.3a
22:5n-3
1.8 ± 0.3b
1.5 ± 0.2b
2.6 ± 0.1a
22:6n-3
17.9 ± 2.9a
11.4 ± 2.4b
16.2 ± 0.7ab
Total n-3 PUFA4
26.3 ± 3.4b
34.2 ± 1.5a
34.9 ± 1.1a
Total PUFA
41.1 ± 2.5b
50.6 ± 0.9a
54.2 ± 1.7a
EPA + DHA
21.5 ± 3.3a
14.5 ± 3.0b
21.2 ± 0.9a
Total n-3 LC-PUFA
23.7 ± 3.5ab
17.0 ± 3.2b
25.7 ± 1.0a
Data expressed as means ± SD (n = 3). Different superscript letters within a row denote significant differences among diets. Statistical differences were determined by one-way ANOVA with Tukey’s comparison test (p < 0.05).
1Contains 14:0, 15:0, 18:0, 20:0 and 22:0;
2Contains 16:1n-7, 18:1n-7, 20:1n-9, 22:1n-11, 22:1n-9 and 24:1;
3Contains 20:2n-6 and 20:3n-6.
4Contains 18:4n-3, 20:3n-3 and 20:4n-3.
DCO, feed containing EPA+DHA oil from transgenic Camelina; FO, fish oil feed; LC- PUFA, long-chain polyunsaturated fatty acids (sum of 20:4n-3, 20:5n-3 22:5n-3 and 22:6n-3); WCO, wild-type camelina oil feed
Table 4
Lipid contents (percentage of wet weight) and fatty acid compositions (percentage of total fatty acids) of total lipid of the brain and head kidney (n = 3) after feeding the experimental diets for 12 weeks.
FO
WCO
DCO
Brain
Lipid content
7.4 ± 0.0
7.2 ± 0.2
7.0 ± 0.6
16:0
16.2 ± 0.4
16.0 ± 0.1
16.1 ± 0.0
Total saturated1
24.7 ± 0.9
24.1 ± 0.2
24.4 ± 0.2
18:1n-9
21.0 ± 1.1
20.8 ± 0.4
20.1 ± 0.1
Total monoenes2
33.4 ± 1.5
32.3 ± 0.8
31.6 ± 0.3
18:2n-6
2.2 ± 0.4
1.6 ± 0.6
1.7 ± 0.2
20:4n-6
1.1 ± 0.0b
1.0 ± 0.0b
1.8 ± 0.1a
Total n-6 PUFA3
3.8 ± 0.4
3.2 ± 0.5
3.9 ± 0.4
18:3n-3
0.4 ± 0.1b
1.6 ± 0.6a
0.9 ± 0.1ab
20:5n-3
5.2 ± 0.0b
5.4 ± 0.0a
5.4 ± 0.1a
22:5n-3
1.9 ± 0.2
2.0 ± 0.0
2.2 ± 0.0
22:6n-3
23.3 ± 0.9
22.6 ± 0.1
23.0 ± 0.4
Total n-3 PUFA4
31.0 ± 1.0
32.7 ± 0.8
32.4 ± 0.4
Total PUFA
34.9 ± 1.2
35.9 ± 1.3
36.4 ± 0.1
EPA + DHA
28.5 ± 0.9
28.0 ± 0.1
28.4 ± 0.4
Total n-3 LC-PUFA
30.6 ± 1.0
30.4 ± 0.1
31.1 ± 0.4
Head kidney
Lipid content
3.7 ± 0.5
3.7 ± 0.8
3.3 ± 0.3
16:0
14.2 ± 0.7
13.0 ± 1.6
13.9 ± 1.0
Total saturated1
20.9 ± 0.7
19.0 ± 1.7
21.0 ± 1.2
18:1n-9
22.6 ± 1.0a
17.4 ± 1.7b
14.4 ± 2.0b
Total monoenes2
40.0 ± 1.5a
30.1 ± 3.0b
24.6 ± 3.0b
18:2n-6
12.9 ± 0.1
12.3 ± 1.1
13.4 ± 0.6
20:4n-6
1.2 ± 0.1b
0.9 ± 0.2b
3.5 ± 0.6a
Total n-6 PUFA3
16.0 ± 0.2b
15.8 ± 0.7b
19.5 ± 0.3a
18:3n-3
2.3 ± 0.1c
13.0 ± 1.2a
6.8 ± 0.3b
20:5n-3
3.9 ± 0.5b
3.9 ± 0.7b
5.4 ± 0.3a
22:5n-3
1.0 ± 0.1b
0.9 ± 0.1b
1.9 ± 0.0a
22:6n-3
12.8 ± 1.0
12.0 ± 2.5
14.5 ± 1.3
Total n-3 PUFA4
21.2 ± 1.4b
33.8 ± 2.0a
32.5 ± 1.4a
Total PUFA
37.2 ± 1.5b
49.6 ± 1.3a
52.0 ± 1.6a
EPA + DHA
16.7 ± 1.5
15.9 ± 3.2
20.0 ± 1.6
Total n-3 LC-PUFA
18.3 ± 1.6ab
17.9 ± 3.4b
23.8 ± 1.6a
Data expressed as means ± SD (n = 3). Different superscript letters within a row denote significant differences among diets. Statistical differences were determined by one-way ANOVA with Tukey’s comparison test (p < 0.05).
1Contains 14:0, 15:0, 18:0, 20:0 and 22:0;
2Contains 16:1n-7, 18:1n-7, 20:1n-9, 22:1n-11, 22:1n-9 and 24:1;
3Contains 20:2n-6 and 20:3n-6.
4Contains 18:4n-3, 20:3n-3 and 20:4n-3.
DCO, feed containing EPA+DHA oil from transgenic Camelina; FO, fish oil feed; LC- PUFA, long-chain polyunsaturated fatty acids (sum of 20:4n-3, 20:5n-3 22:5n-3 and 22:6n-3); WCO, wild-type camelina oil feed.
Data expressed as means ± SD (n = 3). Different superscript letters within a row denote significant differences among diets. Statistical differences were determined by one-way ANOVA with Tukey’s comparison test (p < 0.05).1Contains 14:0, 15:0, 18:0, 20:0 and 22:0;2Contains 16:1n-7, 18:1n-7, 20:1n-9, 22:1n-11, 22:1n-9 and 24:1;3Contains 20:2n-6 and 20:3n-6.4Contains 18:4n-3, 20:3n-3 and 20:4n-3.DCO, feed containing EPA+DHA oil from transgenic Camelina; FO, fish oil feed; LC- PUFA, long-chain polyunsaturated fatty acids (sum of 20:4n-3, 20:5n-3 22:5n-3 and 22:6n-3); WCO, wild-type camelinaoil feed.Data expressed as means ± SD (n = 3). Different superscript letters within a row denote significant differences among diets. Statistical differences were determined by one-way ANOVA with Tukey’s comparison test (p < 0.05).1Contains 14:0, 15:0, 18:0, 20:0 and 22:0;2Contains 16:1n-7, 18:1n-7, 20:1n-9, 22:1n-11, 22:1n-9 and 24:1;3Contains 20:2n-6 and 20:3n-6.4Contains 18:4n-3, 20:3n-3 and 20:4n-3.DCO, feed containing EPA+DHA oil from transgenic Camelina; FO, fish oil feed; LC- PUFA, long-chain polyunsaturated fatty acids (sum of 20:4n-3, 20:5n-3 22:5n-3 and 22:6n-3); WCO, wild-type camelinaoil feed.Data expressed as means ± SD (n = 3). Different superscript letters within a row denote significant differences among diets. Statistical differences were determined by one-way ANOVA with Tukey’s comparison test (p < 0.05).1Contains 14:0, 15:0, 18:0, 20:0 and 22:0;2Contains 16:1n-7, 18:1n-7, 20:1n-9, 22:1n-11, 22:1n-9 and 24:1;3Contains 20:2n-6 and 20:3n-6.4Contains 18:4n-3, 20:3n-3 and 20:4n-3.DCO, feed containing EPA+DHA oil from transgenic Camelina; FO, fish oil feed; LC- PUFA, long-chain polyunsaturated fatty acids (sum of 20:4n-3, 20:5n-3 22:5n-3 and 22:6n-3); WCO, wild-type camelinaoil feed
Plasma biochemistry
Two-way ANOVA showed that the factor “time” was significant for all the parameters, whereas significant differences with “diet” were only observed for chloride and alkaline phosphatase (ALP) (Table 6). Additionally an interaction between “diet” and “time” was observed for osmolarity (p = 0.024).
Table 6
Two-way ANOVA results of the plasma parameters in fish at the end of the feeding trial and after the challenge test.
0 h
1 h
24 h
Significance (p)
FO
WCO
DCO
FO
WCO
DCO
FO
WCO
DCO
Diet
Time
DxT
Haematocrit
34.7 ± 5.1
33.6 ± 3.7
30.0 ± 6.8
35.0 ± 5.5
37.1 ± 2.2
36.5 ± 3.7
32.1 ± 4.5
33.5 ± 2.6
31.4 ± 5.1
n.s.
**
n.s.
Cortisol (ng/ml)
80.5 ± 42.3
63.1 ± 31.6
81.1 ± 43.0
587.0 ± 138.9
528.1 ± 170.1
647.2 ± 193.3
77.1 ± 47.7
95.3 ± 38.0
113.6 ± 33.2
n.s.
**
n.s.
Sodium (mmol/l)
158.1 ± 3.8
157.2 ± 3.8
157.9 ± 3.3
196.2 ± 6.0
194.8 ± 5.2
193.7 ± 6.7
164.6 ± 3.4
164.4 ± 4.8
162.5 ± 3.0
n.s.
**
n.s.
Potassium (mmol/l)
4.2 ± 0.5
4.0 ± 0.4
4.1 ± 0.5
4.9 ± 0.6
4.8 ± 0.5
5.2 ± 0.4
3.6 ± 0.3
3.7 ± 0.4
3.7 ± 0.3
n.s.
**
n.s.
Chloride (mmol/l)
134.1 ± 3.6
133.6 ± 2.6
132.7 ± 3.0
167.8 ± 6.0
166.6 ± 4.6
163.8 ± 6.7
141.0 ± 3.5
142.1 ± 4.6
138.7 ± 3.1
*
**
n.s.
mOsm
336.1 ± 6.7
335.2 ± 5.6
349.7 ± 18.1
419.1 ± 13.5
413.2 ± 14.6
416.7 ± 17.3
344.5 ± 8.0
346.3 ± 8.6
341.1 ± 3.3
n.s.
**
*
Alkaline phosphatase (IU)
396.7 ± 97.3
467.7 ± 90.7
522.5 ± 157.4
397.2 ± 73.4
439.6 ± 129.2
439.6 ± 129.2
208.7 ± 77.0
249.9 ± 100.8
208.7 ± 77.0
*
**
n.s.
Lactate (mg/dl)
13.8 ± 3.3
18.0 ± 4.9
15.5 ± 4.7
86.0 ± 28.0
79.4 ± 16.8
79.4 ± 16.8
5.6 ± 2.4
6.3 ± 2.7
185.0 ± 50.0
n.s.
**
n.s.
Glucose (mmol/l)
3.5 ± 0.3
3.8 ± 0.4
3.6 ± 0.6
6.0 ± 0.9
5.6 ± 0.8
5.6 ± 0.8
3.7 ± 0.4
3.9 ± 0.430
249.9 ± 100.8
n.s.
**
n.s.
D, Diet; T, Time.
* p<0.05;
** p<0.01;
n.s. not significant.
D, Diet; T, Time.* p<0.05;** p<0.01;n.s. not significant.There were no significant differences in the number of goblet cells (GC) among the dietary treatments in either mid (p = 0.451) or hindgut (p = 0.369) (Table 7). No significant differences were observed between treatment groups in GC colour in mid or hindguts. There appeared to be a higher number of magenta GC present in midgut in DCO-fed fish, whereas the number of these cells seemed to be higher in hindgut in fish fed WCO, albeit these trends were not significant. No differences were observed in any of the other assessed parameters in either mid or hindgut. Liver of salmon fed WCO showed lower scores in terms of hepatocyte cytoplasm (LHC; p = 0.018) and hepatic lipid intracytoplasmic vacuolization (HV; p = 0.017), with no differences in liver nuclei (LN; p = 0.076; Table 7). Liver PAS staining also differed among fish fed the dietary treatments with fish fed FO showing the highest score (p = 0.031).
Table 7
Individual score and overall mean for the different parameter used to assess the midgut, hindgut and the liver in Atlantic salmon fed the three experimental feeds.
In midgut, a total of 1319 genes were differentially expressed in salmon fed FO versus DCO whereas 1135 where affected when comparing FO-fed fish with WCO-fed fish. A smaller number (924) of differentially expressed genes (DEG) was found when comparing the midgut of salmon fed DCO against WCO-fed fish. No obvious differences were observed regarding the intensity (fold change; FC) or direction of change (up or down-regulation) between the different contrasts (Table 8). Restricting analysis to probes with a FC over 1.3 revealed 726 and 767 DEG in fish fed FO compared to fish fed WCO and DCO, respectively, with 148 DEG common to both contrasts (Fig 1A). Assigning KEGG Orthology (KO) numbers to these 148 common DEG and mapping them to a known compendium of metabolic pathways (KEGG) indicated that over 59% were annotated, and showed that the metabolism category was highly affected (33%) and, within metabolism, the main subcategories affected were carbohydrate (9%), amino acids (6%) and lipid (5%) (Fig 1B).
Table 8
Summary of the results of midgut and hindgut microarray analysis.
FO/WCO
FO/DCO
DCO/WCO
Midgut
Total no. of probes
44000
Total no. of DEG
1319
924
1135
Up-regulated genes
584 (44.3%)
412 (44.6%)
576 (50.7%)
FC > 1.3
372 (63.7%)
332 (80.6%)
254 (44.1%)
Down-regulated genes
735 (55.7%)
512 (55.4%)
559 (49.3%)
FC > 1.3
354 (48.2%)
435 (85.0%)
319 (57.1%)
Hindgut
Total no. of probes
44000
Total no. of DEG
999
1289
648
Up-regulated genes
650 (65.1%)
625 (48.5%)
366 (56.4%)
FC > 1.3
563 (86.6%)
405 (64.8%)
304 (83.1%)
Down-regulated genes
349 (34.9%)
664 (51.5%)
282 (43.6%)
FC > 1.3
268 (76.8%)
462 (69.6%)
231 (81.9%)
DCO, feed containing oil from transgenic camelina; DEG, differentially expressed genes; FC, fold change; FO, control (fish oil) feed; WCO, feed containing oil from wild-type camelina.
Fig 1
Impact of diet on midgut transcriptome of Atlantic salmon fed camelina oils (DCO and WCO) in comparison with fish fed Fish Oil (FO).
(A) Venn diagram representing mRNA transcripts differentially expressed in the midgut of Atlantic salmon fed the experimental diets DCO and WCO compared to diet FO. The area of the circles is scaled to the number of transcripts (Welch t-test; p < 0.05; FC > 1.3). (B) Distribution by categories of common differentially genes in midgut between Atlantic salmon fed DCO and WCO when compared to FO-fed fish (Welch t-test; p < 0.05; FC > 1.3). Non-annotated genes and features corresponding to the same gene are not represented.
Impact of diet on midgut transcriptome of Atlantic salmon fed camelina oils (DCO and WCO) in comparison with fish fed Fish Oil (FO).
(A) Venn diagram representing mRNA transcripts differentially expressed in the midgut of Atlantic salmon fed the experimental diets DCO and WCO compared to diet FO. The area of the circles is scaled to the number of transcripts (Welch t-test; p < 0.05; FC > 1.3). (B) Distribution by categories of common differentially genes in midgut between Atlantic salmon fed DCO and WCO when compared to FO-fed fish (Welch t-test; p < 0.05; FC > 1.3). Non-annotated genes and features corresponding to the same gene are not represented.DCO, feed containing oil from transgenic camelina; DEG, differentially expressed genes; FC, fold change; FO, control (fish oil) feed; WCO, feed containing oil from wild-type camelina.The pathways with the highest numbers of DEGs in the three contrasts (FO vs. WCO, FO vs. DCO and DCO vs. WCO) were compared (Fig 2). Although the metabolism category was highly represented, a limited number (1–9) of genes was differentially expressed in each pathway, being most numerous in pathways related to protein metabolism such as purine and pyrimidine metabolism. In both these pathways there was strong down-regulation in the midgut of fish fed diet WCO compared to DCO-fed fish. Within the signalling category, the PI3K-Akt signalling and cytokine-cytokine receptor interaction pathways displayed a high of number of DEG were observed between fish fed diets containing WCO or DCO and those fed FO. Indeed, 11 genes belonging to cytokine-cytokine receptor interactions were regulated in the contrast FO vs. WCO, whereas only 2 and 4 were regulated in fish fed DCO compared to FO and WCO, respectively. Most of the DEG belonged to the type I receptors family (hematopoietins), chemokines receptors family (subfamilies CXC and CC), as well as tumour necrosis factor and transforming growth factor beta. Pathways that showed differences between the three contrasts were ubiquitin mediated proteolysis and protein digestion and absorption, which showed high numbers of down-regulated DEG when DCO-fed fish were compared to WCO-fed fish. Within the protein digestion and absorption pathway, two membrane transport proteins, solute carrier family 6 and 15, were down-regulated in DCO-fed fish compared to fish fed WCO (-1.4 and -2.3, respectively).
Fig 2
Ranking of differentially expressed pathways in midgut of Atlantic salmon between fish fed a feed based either on Fish Oil (FO), Wild type Camelina Oil (WCO) or EPA+DHA Camelina Oil (DCO).
Pathway analysis was performed using the Kyoto Encyclopedia of Genes and Genome (KEGG). The area of the circle is scaled to the number of DEG within each pathway. Up-regulated genes, red; down-regulated genes, green.
Ranking of differentially expressed pathways in midgut of Atlantic salmon between fish fed a feed based either on Fish Oil (FO), Wild type Camelina Oil (WCO) or EPA+DHA Camelina Oil (DCO).
Pathway analysis was performed using the Kyoto Encyclopedia of Genes and Genome (KEGG). The area of the circle is scaled to the number of DEG within each pathway. Up-regulated genes, red; down-regulated genes, green.To elucidate which genes in midgut were specific to DCO, 122 DEG common to both DCO vs. FO and DCO vs. WCO contrasts were identified at a FC > 1.3 (p < 0.005; Fig 3A). After removing non-annotated genes and duplicated genes, KEGG analysis showed that metabolism was the main category affected (27%) followed by signalling and immune system (18% and 17%, respectively; Fig 3B). Within metabolism, lipid metabolism was the main subcategory affected (7%). All the annotated features within the 122 commonly affected DEG are presented in S4 Table.
Fig 3
Impact of diet on midgut transcriptome of Atlantic salmon fed diets containing Fish Oil (FO) or Wild type Camelina Oil (WCO) in comparison with fish fed the EPA+DHA Camelina Oil (DCO).
(A) Venn diagram representing transcripts differentially expressed in the midgut of Atlantic salmon fed diets FO and WCO compared to diet DCO. The area of the circles is scaled to the number of transcripts (Welch t-test; p < 0.05; FC > 1.3). (B) Distribution by categories of common differentially genes in midgut between Atlantic salmon fed FO and WCO compared to DCO-fed fish (Welch t-test; p < 0.05; FC > 1.3). Non-annotated genes and features corresponding to the same gene are not represented.
Impact of diet on midgut transcriptome of Atlantic salmon fed diets containing Fish Oil (FO) or Wild type Camelina Oil (WCO) in comparison with fish fed the EPA+DHA Camelina Oil (DCO).
(A) Venn diagram representing transcripts differentially expressed in the midgut of Atlantic salmon fed diets FO and WCO compared to diet DCO. The area of the circles is scaled to the number of transcripts (Welch t-test; p < 0.05; FC > 1.3). (B) Distribution by categories of common differentially genes in midgut between Atlantic salmon fed FO and WCO compared to DCO-fed fish (Welch t-test; p < 0.05; FC > 1.3). Non-annotated genes and features corresponding to the same gene are not represented.
Hindgut transcriptome
A similar pattern of DEG between the dietary treatments was observed in hindgut, albeit the number of DEG was lower than in midgut at 999 (FO vs. WCO), 1289 (FO vs. DCO) and 648 (DCO vs. WCO) (Table 8). More DEG were up-regulated than down-regulated when the hindgut of WCO-fed fish was compared with that of fish fed FO and DCO. Restricting DEG to those with a FC > 1.3, 831 probes were differentially expressed in the FO vs. WCO contrast, and 867 in the FO vs. DCO contrast (Fig 4A). KEGG analysis showed that 65.0% of the DEG were annotated. When hindgut of FO-fed fish was compared with that of fish fed either WCO or DCO, signalling was the main category affected (40%; Fig 4B), followed by immune system (19%). Metabolism (15%) was the next most represented category, with amino acid metabolism being the main subcategory affected with lipid metabolism accounting for only 2% of the common DEG (7%; Fig 4B).
Fig 4
Impact of diet on hindgut transcriptome of Atlantic salmon fed diets containing camelina oils (WCO and DCO) in comparison with fish fed Fish Oil (FO).
(A) Venn diagram representing mRNA transcripts differentially expressed in the hindgut of Atlantic salmon fed diets WCO and DCO compared to diet FO. The area of the circles is scaled to the number of transcripts (Welch t-test; p < 0.05; FC > 1.3). (B) Distribution by categories of common differentially genes in hindgut between Atlantic salmon fed WCO and DCO when compared to FO-fed fish (Welch t-test; p < 0.05; FC > 1.3). Non-annotated genes and features corresponding to the same gene are not represented.
Impact of diet on hindgut transcriptome of Atlantic salmon fed diets containing camelina oils (WCO and DCO) in comparison with fish fed Fish Oil (FO).
(A) Venn diagram representing mRNA transcripts differentially expressed in the hindgut of Atlantic salmon fed diets WCO and DCO compared to diet FO. The area of the circles is scaled to the number of transcripts (Welch t-test; p < 0.05; FC > 1.3). (B) Distribution by categories of common differentially genes in hindgut between Atlantic salmon fed WCO and DCO when compared to FO-fed fish (Welch t-test; p < 0.05; FC > 1.3). Non-annotated genes and features corresponding to the same gene are not represented.The same pathways highly represented in the three contrasts in midgut were also observed to have a high number of DEG in hindgut (Fig 5). Within metabolism, a strong down-regulation (5 DEG) in glycerolipid and glycerophospholipid metabolism pathways was observed in the contrast FO vs. DCO. Strong up-regulation (up to 15 genes) in pathways related to signalling, cellular processes and immune system was observed in the FO vs. WCO contrast. A clear trend in these pathways was not found in the other two contrasts. The lowest number of DEG was observed when comparing the hindgut of fish fed WCO and DCO.
Fig 5
Ranking of differentially expressed pathways in midgut of Atlantic salmon between fish fed a diet containing Fish Oil (FO), Wild type Camelina Oil (WCO) or EPA+DHA Camelina Oil (DCO).
Pathway analysis was performed using the Kyoto Encyclopedia of Genes and Genome (KEGG). The area of the circle is scaled to the number of DEG within each pathway. Up-regulated genes, red; down-regulated genes, green.
Ranking of differentially expressed pathways in midgut of Atlantic salmon between fish fed a diet containing Fish Oil (FO), Wild type Camelina Oil (WCO) or EPA+DHA Camelina Oil (DCO).
Pathway analysis was performed using the Kyoto Encyclopedia of Genes and Genome (KEGG). The area of the circle is scaled to the number of DEG within each pathway. Up-regulated genes, red; down-regulated genes, green.There were 92 genes commonly differentially expressed (FC > 1.3, p < 0.005) when comparing the hindgut of DCO-fed with fish fed either FO or WCO (Fig 6). Good agreement was found in direction of expression between the two contrasts. KEGG analysis of these 92 DEG revealed that 56.5% of probes were annotated, resulting in 52 features representing 29 unique genes. The main category represented was signalling, followed by immune system and genetic information processing, but only three genes belonging to metabolism were commonly regulated in both contrasts and one of these, dimethylaniline monooxygenase, was also commonly regulated in the midgut (S5 Table).
Fig 6
Impact of diet on hindgut transcriptome of Atlantic salmon fed diets containing Fish Oil (FO) or Wild type Camelina Oil (WCO) in comparison with fish fed fish EPA+DHA Camelina Oil (DCO).
(A) Venn diagram representing transcripts differentially expressed in hindgut of Atlantic salmon fed diets FO and WCO compared to diet DCO. The area of the circles is scaled to the number of transcripts (Welch t-test; p < 0.05; FC > 1.3). (B) Distribution by categories of common differentially genes in hindgut between Atlantic salmon fed FO and WCO compared to DCO-fed fish (Welch t-test; p < 0.05; FC > 1.3). Non-annotated genes and features corresponding to the same gene are not represented.
Impact of diet on hindgut transcriptome of Atlantic salmon fed diets containing Fish Oil (FO) or Wild type Camelina Oil (WCO) in comparison with fish fed fish EPA+DHA Camelina Oil (DCO).
(A) Venn diagram representing transcripts differentially expressed in hindgut of Atlantic salmon fed diets FO and WCO compared to diet DCO. The area of the circles is scaled to the number of transcripts (Welch t-test; p < 0.05; FC > 1.3). (B) Distribution by categories of common differentially genes in hindgut between Atlantic salmon fed FO and WCO compared to DCO-fed fish (Welch t-test; p < 0.05; FC > 1.3). Non-annotated genes and features corresponding to the same gene are not represented.The microarray data were validated by qPCR by comparing the expression of 6 different genes involved in metabolism in the midgut of fish fed DCO and WCO (S6 Table). Good correspondence in terms of FC and direction of change (up- or down-regulated) was observed among all the studied genes (100%). The match was also consistent in terms of significance (p value) when comparing qPCR and microarray results (83.3%; 5 out of 6 genes).
Expression of key metabolic genes
To further focus on metabolic responses, the expression of key genes in either “candidate” pathways or pathways found to be differentially regulated by gut microarray was investigated by qPCR in both liver and intestinal tissues. Expression of delta-6 and delta-5 fatty acyl desaturases, fads2d6 and fads2d5, was down-regulated (p = 0.008 and 0.038 respectively) in liver of fish fed DCO compared to fish fed WCO (Fig 7). There were no differences in hepatic expression of any of the fatty acid elongases evaluated. Relative expression of acetyl CoA carboxylase (acc), phosphofructokinase (pfk) and glycogen synthase (gys) was highest in liver of fish fed WCO, significantly so compared to fish fed FO with fish fed DCO displaying intermediate values (Fig 8). Expression of glucose-6-phosphate dehydrogenase (g6pd) was higher in liver of fish fed DCO than in liver of fish fed FO with fish fed WCO being intermediate. Other genes of lipogenesis (fatty acid synthase, fas) and carbohydrate metabolism (glucose-6-phosphate isomerase, gpi; glycerol kinase 5, gk5) showed no differences in liver expression between diets (Figs 7 and 8).
Fig 7
Expression of genes of the LC-PUFA biosynthesis pathway in liver of Atlantic salmon as determined by qPCR.
Results are normalized expression ratios (means ± SEM; n = 6). FO, fish oil diet; WCO, wild type camelina oil diet; DCO, EPA+DHA camelina oil diet. fads2d6, delta-6 fatty acyl desaturase; fads2d5, delta-5 fatty acyl desaturase; elovl2, fatty acyl elongase 2; elovl5a, fatty acyl elongase 5 isoform a; elovl5b, fatty acyl elongase 5 isoform b; fas, fatty acid synthase. Different superscript letters denote differences among treatments identified by one-way ANOVA.
Fig 8
Expression of genes involved in lipogenesis and carbohydrate metabolism in liver of Atlantic salmon as determined by qPCR.
Expression of genes of the LC-PUFA biosynthesis pathway in liver of Atlantic salmon as determined by qPCR.
Results are normalized expression ratios (means ± SEM; n = 6). FO, fish oil diet; WCO, wild type camelinaoil diet; DCO, EPA+DHAcamelinaoil diet. fads2d6, delta-6 fatty acyl desaturase; fads2d5, delta-5 fatty acyl desaturase; elovl2, fatty acyl elongase 2; elovl5a, fatty acyl elongase 5 isoform a; elovl5b, fatty acyl elongase 5 isoform b; fas, fatty acid synthase. Different superscript letters denote differences among treatments identified by one-way ANOVA.
Expression of genes involved in lipogenesis and carbohydrate metabolism in liver of Atlantic salmon as determined by qPCR.
Results are normalized expression ratios (means ± SEM; n = 6). FO, fish oil diet; WCO, wild type camelinaoil diet; DCO, EPA+DHAcamelinaoil diet. Fas, fatty acid synthase; acc, acetyl CoA carboxylase; gpi, glucose-6-phosphate isomerase; gys, glycogen synthase; pfk, phosphofructokinase; pk, pyruvate kinase; g6pd, glucose-6-phosphate dehydrogenase; gk5, glycerol kinase 5.The expression of genes of LC-PUFA biosynthesis were down-regulated in midgut of salmon fed DCO, with fads2d6 and fads2d5 expression in fish fed DCO being significantly lower than in fish fed FO or WCO (Fig 9). The same trend was observed for all the elongases with expression of elovl2 and elovl5b being lower in midgut of fish fed DCO than fish fed FO or WCO, respectively. Similar trends in the genes of LC-PUFA biosynthesis were observed in hindgut, with lowest expression of fads2d6, fads2d5 and elovl2 all being lower in fish fed DCO than fish fed the other diets, albeit not significantly (Fig 10). Expression of acc in intestinal tissues was not affected by diet, whereas expression of g6pd in midgut (Fig 11A) and gk5 in hindgut (Fig 11B) was higher in fish fed DCO than in fish fed either of the other diets.
Fig 9
Expression of genes of the LC-PUFA biosynthesis pathway in midgut of Atlantic salmon as determined by qPCR.
Results are normalized expression ratios (means ± SEM; n = 6). FO, fish oil diet; WCO, wild type camelina oil diet; DCO, EPA+DHA camelina oil diet. fads2d6, delta-6 fatty acyl desaturase; fads2d5, delta-5 fatty acyl desaturase; elovl2, fatty acyl elongase 2; elovl5a, fatty acyl elongase 5 isoform a; elovl5b, fatty acyl elongase 5 isoform b; fas, fatty acid synthase. Different superscript letters denote differences among treatments identified by one-way ANOVA.
Fig 10
Expression of genes of the LC-PUFA biosynthesis pathway in hindgut of Atlantic salmon as determined by qPCR.
Results are normalized expression ratios (means ± SEM; n = 6). FO, fish oil diet; WCO, wild type camelina oil diet; DCO, EPA+DHA camelina oil diet. fads2d6, delta-6 fatty acyl desaturase; fads2d5, delta-5 fatty acyl desaturase; elovl2, fatty acyl elongase 2; elovl5a, fatty acyl elongase 5 isoform a; elovl5b, fatty acyl elongase 5 isoform b; fas, fatty acid synthase. Different superscript letters denote differences among treatments identified by one-way ANOVA.
Fig 11
Expression of genes involved in lipogenesis and carbohydrate metabolism in Atlantic salmon midgut (A) and hindgut (B) as determined by qPCR.
Expression of genes of the LC-PUFA biosynthesis pathway in midgut of Atlantic salmon as determined by qPCR.
Results are normalized expression ratios (means ± SEM; n = 6). FO, fish oil diet; WCO, wild type camelinaoil diet; DCO, EPA+DHAcamelinaoil diet. fads2d6, delta-6 fatty acyl desaturase; fads2d5, delta-5 fatty acyl desaturase; elovl2, fatty acyl elongase 2; elovl5a, fatty acyl elongase 5 isoform a; elovl5b, fatty acyl elongase 5 isoform b; fas, fatty acid synthase. Different superscript letters denote differences among treatments identified by one-way ANOVA.
Expression of genes of the LC-PUFA biosynthesis pathway in hindgut of Atlantic salmon as determined by qPCR.
Results are normalized expression ratios (means ± SEM; n = 6). FO, fish oil diet; WCO, wild type camelinaoil diet; DCO, EPA+DHAcamelinaoil diet. fads2d6, delta-6 fatty acyl desaturase; fads2d5, delta-5 fatty acyl desaturase; elovl2, fatty acyl elongase 2; elovl5a, fatty acyl elongase 5 isoform a; elovl5b, fatty acyl elongase 5 isoform b; fas, fatty acid synthase. Different superscript letters denote differences among treatments identified by one-way ANOVA.
Expression of genes involved in lipogenesis and carbohydrate metabolism in Atlantic salmon midgut (A) and hindgut (B) as determined by qPCR.
Results are normalized expression ratios (means ± SEM; n = 6). FO, fish oil diet; WCO, wild type camelinaoil diet; DCO, EPA+DHAcamelinaoil diet. Fas, fatty acid synthase; acc, acetyl CoA carboxylase; gpi, glucose-6-phosphate isomerase; gys, glycogen synthase; pfk, phosphofructokinase; pk, pyruvate kinase; g6pd, glucose-6-phosphate dehydrogenase; gk5, glycerol kinase 5.
Detection of transgenic DNA in Atlantic salmon tissues
All salmon tissues tested negative for the presence of the camelina T-DNA gene construct, as monitored by the use of DsRed primers, directed towards the transgene construct sequence, whereas all tissues tested positive to salmon growth hormone gene, gh (data not shown).
Discussion
Genetic modification of oilseed crops is a feasible option to produce entirely new sources of EPA and DHA that can replace FO in feeds without the negative effects on n-3 LC-PUFA content of farmed fish [8]. Previous studies using oils from transgenic Camelina sativa confirmed that the oils could maintain fish growth and survival at equivalent levels to fish fed a “gold standard” feed with high fishmeal and fish oil and, in addition, enhanced flesh n-3 LC-PUFA levels compared to fish fed conventional vegetable oil [11-14]. In the present study, a lower level of fishmeal (35% of diet) was used compared to the previous trials (49%) and EPA + DHA levels in the control (FO) diet were around 6% compared with > 25% in previous trials. Thus, the control diet in the present trial was more representative of commercial feeds, and close to the Norwegian standard of recent years [27-28].The EPA+DHA oil from transgenic Camelina proved to be suitable for the on-growing of Atlantic salmon post-smolts as indicated by the good growth performance achieved by fish fed the DCO diet. In agreement with previous studies, no differences were found in terms of performance between DCO-fed fish and fish fed either FO or WCO [13-14]. Additionally, no adverse effects were observed in fish fed DCO on any of the plasma biochemistry parameters evaluated at the end of the feeding trial or 1 h and 24 h after the environmental stress test. Disturbance of osmoregulatory capacity is a characteristic response to stress in fish [29] and typical indicators of the stress response such as elevated blood cortisol, glucose, lactate, sodium, potassium and chloride were evident 1 h after stress in all diet groups, confirming the efficacy of the stress challenge. However, there was little effect of diet on the response of salmon to this particular stress test. Previous studies in gilthead sea bream (Sparus aurata) demonstrated that fish fed high levels of vegetable oil had higher levels of cortisol after stress and also the time for plasma cortisol to return basal levels was greater [30-31]. However, no differences due to diet were found among fish 1 h after being subjected to a chasing stress in Atlantic salmon fed high levels of both plant meal and vegetable oil [32], or in sunshine bass (Morone chrysops x M. saxatilis) fed increasing levels of plant meals after a low-water stress challenge [33]. This could indicate species-dependent responses to plant-based feeds and/or to different stressors. Furthermore, it may be necessary to evaluate responses at intermediate points (e.g. 4 h to 6 h), as differences in plasma biochemistry between fish fed marine- and plant-based diets have been reported in this threshold [31].A major consequence of sustainable feeds based on plant ingredients is reduced levels of n-3 LC-PUFA in the flesh of farmed fish [8]. This has been demonstrated in many studies (see [34]), and the flesh n-3 LC-PUFA content of farmed salmon has been reported recently to have reduced by 50% over the last decade [9]. In the present study, the FO (control) feed was formulated to reflect recent feed formulations for salmon and thus included reduced levels of fishmeal and fish oil (replaced by rapeseed oil), which resulted in an n-3 LC-PUFA level of around 6% of total dietary fatty acids. Replacing the added oil with the oil from transgenic Camelina resulted in n-3 LC-PUFA content of the DCO diet being over 17% of total fatty acids that, in turn, doubled the n-3 LC-PUFA content of flesh of the DCO-fed fish compared to fish fed the current commercial formulation (diet FO). Thus, substituting the fish oil/vegetable oil blend of the commercial formulation by the new oil from transgenic Camelina has the potential to restore the n-3 LC-PUFA levels in harvest-sized salmon to levels last found a decade ago, retaining all the positive health effects associated with consumption of farmed salmon.Salmonids have the capability to biosynthesize LC-PUFA with liver and midgut being the most active metabolic sites [35-36]. A common finding when Atlantic salmon are fed diets rich in vegetable oil (high C18 PUFA, zero n-3 LC-PUFA) is up-regulated expression of hepatic fatty acid desaturases and elongases, which in turn leads to increased production of EPA and DHA as well as intermediate products (i.e. 20:4n-3 and 22:5n-3) [11–12; 37–39]. Fish fed the FO and WCO diets, that had lower n-3 LC-PUFA contents than the DCO diet, showed up-regulation of hepatic fads2d6 and fad62d5 but, in the case of fish fed WCO, this was insufficient to compensate for the low levels of n-3 LC-PUFA in this diet. In contrast, although dietary n-3 LC-PUFA levels in diet FO were intermediate between those in WCO and DCO diets, the n-3 LC-PUFA level and, especially DHA, was surprisingly similar in liver of fish fed diets FO and DCO. The same patterns in gene expression and the proportions of DHA in liver were also observed in mid and hindgut tissues, other tissues with active LC-PUFA biosynthesis. Suppression of fads2d6 expression by dietary DHA may be the main mechanism to inhibit n-3 LC-PUFA biosynthesis [40]. However, it was also suggested that activation of the LC-PUFA biosynthetic pathway in fish fed vegetable oil was due to both low dietary levels of the pathway products (EPA and DHA) as well as the presence of precursor (18:3n-3) [41]. Therefore, the impact of dietary fatty acids, other than pathway products EPA and DHA, on the expression of desaturases and elongases may be relevant and, indeed, the level of 18:3n-3 was one of the main differences between the three diets and this could be factor in the differences found between fish fed FO and WCO. It was shown previously that high levels of dietary 18:3n-3 are actually counter-productive for maintaining n-3 LC-PUFA levels in salmon fed linseed oil with a similar fatty acid composition to the camelinaoil used in diet WCO [40]. The FO diet had the lowest level of 18:3n-3 and the highest 18:2n-6/18:3n-3 ratio, although high levels of this ratio did not inhibit DHA production in Atlantic salmon [41]. However, the precise mechanism for the surprisingly high levels of DHA in liver and intestinal tissues of FO-fed fish is unclear.The intestine is not only the site of nutrient uptake, as the midgut also plays an active role in LC-PUFA biosynthesis [42-43], while hindgut is involved in the uptake and transport of antigens and final processing by intraepithelial macrophages [44]. In the present study, a greater number of genes were regulated in midgut than in hindgut, probably reflecting the role of midgut in digestion and nutrient metabolism. In general, all the diet contrasts presented the same gene categories in both gut regions, suggesting similar dietary effects despite their different physiological roles. The KO process with the highest number of DEG was amino acid metabolism in the DCO vs WCO contrast, particularly in midgut. However, within lipid metabolism, a high number of genes were down-regulated in the categories glycerolipid and glycerophospholipid metabolism in fish fed DCO compared to fish fed FO, in agreement with results found in the liver transcriptome previously [13]. In contrast, in gilthead sea bream liver and anterior intestine the expression of lpcat1, a key player in phospholipid remodelling, showed up-regulation or no regulation in fish fed DCO compared to FO-fed fish [14]. Although several studies have found that dietary n-3 PUFA can regulate the expression of this enzyme in teleosts [43-47], differing results in terms of direction of regulation were observed, indicating species differences.Another pathway that was significantly regulated in both intestinal tissues was Cytokine-Cytokine receptor interaction, particularly in hindgut in the FO-WCO contrast. Altered immune system in teleosts in response to dietary vegetable oils was first reported in Atlantic salmon [48] and since then a number of studies have reported adverse effects [49-50]. Thus, regulation in expression of several cytokines was reported previously in the posterior intestine of sea bream [14] and sea bass [51] fed high levels of vegetable oil. However, it is important to note that in the present study these pathways were more affected in fish fed WCO than fish fed DCO. Similarly, the up-regulation in several immune pathways related to apoptosis, T cell receptor or leukocyte transendothelial migration in the hindgut of fish fed WCO compared to FO-fed fish was not so pronounced in fish fed DCO. All the diets in the present study contained similar levels of pro-inflammatory n-6 PUFA and so it was most likely the dietary level of n-3 LC-PUFA that influenced these effects on immune pathways with fish fed WCO, with the lowest level of anti-inflammatory EPA and DHA, showing the greatest impact on intestinal health. However, most studies evaluating sustainable feeds have focussed on the replacement of fish meal by plant meals [52-53], whereas substitution of dietary lipid had had less attention. In the present trial no adverse effects were observed on either the mid or hindgut histology. Shorter folds in the midgut of salmon fed 80% vegetable oil were observed previously, although no other differences in histology, immunohistochemistry or expression of immune related genes were reported [54]. In agreement, no histological alterations were observed in intestine of sea bass when fed 60–70% vegetable oil [55-56]. Furthermore, previous studies using an EPA only oil from transgenic Camelina showed no intestinal alterations in either Atlantic salmon or sea bream [12,14].Histopathological evaluation of the liver showed enhanced intra-cytoplasmic lipid deposition in WCO-fed fish (Table 7), which was associated with increased lipid accumulation in this tissue (Table 3) despite the lipid content of the WCO feed being slightly lower than the FO diet. Previous studies have reported the tendency of teleosts to accumulate lipid in liver when vegetable oils are included in feeds [11, 14; 57–58]. Concomitantly, up-regulation of the adipogenic enzyme acc was observed in WCO-fed fish, suggesting that the high levels of C18 fatty acids and reduced levels of n-3 LC-PUFA enhanced the synthesis of lipids, which in turn leads to hepatic lipid accumulation. Indeed, in mammals PUFA are known to be potent inhibitors of de novo lipogenesis through the inhibition of acc [59]. Importantly, in the present study, liver lipid level in fish fed DCO was restored to that of fish fed the FO dietIn the present study, reduced glycogen deposition in the liver of fish fed WCO and, especially DCO, was observed. Increased liver glycogen stores could indicate a positive energy balance [60-61] whereas reduced contents have been related to stress response [62]. In mammals, it has been shown that n-3 LC-PUFA stimulate glycogen synthesis [63] and also regulate some proteins involved in carbohydrate metabolism [64]. However, there are differences in nutrient use between salmon and mammals, such as poor use of dietary glucose [60], and thus the effects of n-3 LC-PUFA on carbohydrate metabolism in salmon are unclear. In the present trial, DCO increased expression of g6pd consistent with previous reports using sustainable feeds in sea bass [65]. The g6pd enzyme catalyzes NADP-linked oxidation of glucose-6-phosphate, and is a major provider of NADPH for lipogenesis in salmon [66]. Given that L cholesterol biosynthesis require reducing power in the form of NADPH, increased expression of g6pd may be related to lower levels of cholesterol in the feeds. Fish fed WCO showed the highest expression of the glycolytic enzyme pfk. Similarly, low dietary fish oil enhanced the activity of pfk in the muscle of Senegalese sole [67], which could suggest the utilization of stored energy due to the fish being in an “adverse” nutritional situation. In contrast, no effect on hepatic expression or activity of pfk was found in rainbow trout fed diets with or without fish oil, these fish also showing limited effects on enzymes involved in lipogenesis, fatty acid β-oxidation or amino acid oxidation [68]. However, rainbow trout in fresh water likely have a higher capacity to synthesize n-3 LC-PUFA and, therefore, low dietary requirements for LC-PUFA, which could explain the reduced response compared to marine teleosts [69]. The highest expression of glycogen synthase (gys) was also observed in WCO-fed fish, which may be a compensatory mechanism to the increased use of glycogen as indicated by the high expression of pfk. Synthesis of hepatic glycogen by glycogen synthase utilizes UDP-glucose as one substrate and the non-reducing end of glycogen as another. De novo gluconeogenesis, probably from dietary amino acids, has been shown in carnivorous marine fish species fed fishmeal-based (low carbohydrate) diets after starvation [70]. Furthermore, a direct relationship between hepatocyte glycogen and glycogen synthase activity was observed in rainbow trout hepatocytes incubated with glucose indicating that the direct pathway for glycogen synthesis was active [71]. However, hepatocyte glycogen content may be controlled by several factors, including n-3 LC-PUFA levels. In this respect, feeding rats a diet containing n-3 LC-PUFA significantly inhibited pyruvate kinase, a key glycolytic enzyme [72].To conclude, the oil from transgenic Camelina sativa containing EPA and DHA effectively substituted for fish oil in feeds for Atlantic salmon, supporting good growth without compromising fish health. No adverse effects were observed on plasma biochemistry or intestinal transcriptomes, and intestinal histology was normal. Furthermore, compared to fish fed diet FO, with an n-3 LC-PUFA level similar to commercial feeds, DCO-fed fish accumulated much higher levels of these beneficial fatty acids. Thus, the use of this entirely new source of EPA and DHA could help to maintain or even boost the n-3 LC-PUFA in aquaculture produce without compromising the sustainability of the feeds.
Fatty acid compositions (percentage of fatty acids) of the four oils used in the present trial.
(DOCX)Click here for additional data file.
Primer sequences used for qPCR or PCR analysis.
(DOCX)Click here for additional data file.
Description of the semi-quantitative scoring system using different parameters to assess the liver, mid gut and hind gut of Atlantic salmon fed the three experimental feeds containing different lipid sources.
The presence of glycogen and Goblet cells was assessed using PAS staining, whereas the other parameters were scored with H&E staining.(DOCX)Click here for additional data file.
Annotated transcripts within the 122 features exhibiting common differential expression in midgut of Atlantic salmon fed DCO compared to fish fed either FO or WCO diets.
Features are arranged by functional categories and within them by increasing p value (assessed by Welch t-test).(DOCX)Click here for additional data file.
Annotated transcripts in the 92 features exhibiting common differential expression in hind gut of Atlantic salmon fed DCO compared to fish fed either FO or WCO diets.
Features are arranged by functional categories and within them by increasing p value (assessed by Welch t-test).(DOCX)Click here for additional data file.
Validation of microarray results by qPCR.
(DOCX)Click here for additional data file.
Absolute n-3 LC-PUFA contents (mg) per portion of fillet (130 g).
n-3 LC-PUFA, omega-3 long chain polyunsaturated fatty acids (sum of 20:4n-3, 20:5n-3, 22:5n-3 and 22:6n-3).(DOCX)Click here for additional data file.
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