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With the continuous expansion of aquaculture and the decline of fish oil (FO) production, the search for suitable FO substitutes has become the focus of attention (FAO 2012; Tacon and Metian 2008). Coconut oil (CO) is regarded as cheaper, more sustainable, and is readily available than the FO. Unlike most oils, CO enriches with middle chain fatty acids (MCFAs), with lauric acid (C12:0) representing 40-50% of the total fatty acids (Figueiredo et al. 2011; Fontagne et al. 2000). For this reason, CO is the most stable oil and its resistance to oxidative rancidity means that it will not be damaged by warmer temperatures (Alice et al. 2006). CO is still an emerging oil with more beneficial effects, and it has a tremendous potential with its cost, sustainability and availability. This makes it a good choice for FO replacement as compared to other vegetable oils (VO) (Apraku et al. 2017; Nordrum et al. 2003; Tseng and Lin 2020).
Many experiments have been conducted to study the effect of CO in diets. In mammals, it has been proven that coconut oil (CO) may be better absorbed and utilized in infant pigs and sheep as compared to other lipids (James et al. 2002; Li et al. 1990; Machmüller et al. 2003). Also, studies in fish have shown that dietary FO partially replaced by CO may significantly increase the growth performance of orange-spotted grouper (Tseng and Lin 2020) and African catfish (Aderolu and Akinremi 2009). Furthermore, some studies with carp (Fontagne et al. 2000), rainbow trout (Ballestrazzi et al. 2006) and Atlantic salmon (Røsjø et al. 2000) found that dietary CO is well absorbed without significant adverse effects on the growth performance. However, Craig and Gatlin (1997) reported that red drum fed diets with a high proportion of CO showed significantly reduced growth rate and increased liver lipid deposition. Similar conclusions were reached with Russian sturgeon; the growth was decreased when fed high CO diets (Li et al. 2017). This may be due to the different species of fish and the proportion of dietary CO in diets. There have been some studies concerning the application of coconut oil in diets for aquatic animals. However, the role of CO in whole or in part replacing FO in promoting growth, antioxidant capacity and lipid metabolism capacity needs further study. Therefore, it is important to explore the appropriate level of CO to replace FO in diets (Tables 1, 2).
Ingredients Coconut oil replacement level (%) 0% 25% 50% 75% 100% Fish meal 33.00 33.00 33.00 33.00 33.00 Soybean meal 24.00 24.00 24.00 24.00 24.00 Wheat starch 23.75 23.75 23.75 23.75 23.75 Wheat gluten meal 5.00 5.00 5.00 5.00 5.00 Fish oil 8.00 6.00 4.00 2.00 0.00 Coconut oil 0.00 2.00 4.00 6.00 8.00 Lecithin 2.00 2.00 2.00 2.00 2.00 Vitamin premix 2.00 2.00 2.00 2.00 2.00 Mineral premix 1.00 1.00 1.00 1.00 1.00 Mold inhibitor 0.10 0.10 0.10 0.10 0.10 Ethoxyquin 0.05 0.05 0.05 0.05 0.05 Choline chloride 0.10 0.10 0.10 0.10 0.10 Attractant 1.00 1.00 1.00 1.00 1.00 Total 100 100 100 100 100 Ingredient Crude protein (%DM) 45.37 45.56 45.37 45.51 45.41 Crude lipid (%DM) 13.40 13.35 13.36 13.41 13.24 All those ingredients were supplied by Great Seven Biotechnology Co., Ltd, China
Vitamin premix (mg/kg or g/kg diet): thiamine, 25 mg; riboflavin, 45 mg; pyridoxine HCl, 20 mg; vit. B12, 0.1 mg; vit. K3, 10 mg; inositol, 800 mg; pantothenic acid, 60 mg; niacin acid, 200 mg; folic acid, 20 mg; biotin, 1.20 mg; retinol acetate, 32 mg; cholecalciferol, 5 mg-α-tocopherol, 120 mg; ascorbic acid, 2000 mg; choline chloride, 2500 mg; ethoxyquin, 150 mg; wheat middling, 14.01 g
Mineral premix (mg/kg or g/kg diet): NaF, 2 mg; KI, 0.8 mg; CoCl2·6H2O (1%), 50 mg; CuSO4·5H2O, 10 mg; FeSO4·H2O, 80 mg; ZnSO4·H2O, 50 mg; MnSO4·H2O, 60 mg; MgSO4·7H2O, 1200 mg; Ca (H2PO4)2·H2O, 3000 mg; NaCl, 100 mg; Zeolite, 15.447 g
Mold inhibitor: sodium propionate
Attractant: the mixture of 50% glycine acid and 50% betaine by weightTable 1. Formulation and proximate analysis of the experimental diet for large yellow croaker (% dry matter)
Ingredients Coconut oil replacement level (%) 0% 25% 50% 75% 100% C8:0 0.00 1.15 2.15 3.29 4.27 C10:0 0.00 1.01 1.89 2.85 3.81 C12:0 0.43 7.52 14.01 21.37 28.11 C14:0 5.75 7.31 8.56 9.67 11.04 C16:0 19.28 17.18 15.73 13.52 12.10 C18:0 4.19 3.81 3.64 3.48 3.27 ∑SFAa 29.64 35.83 41.95 48.04 54.52 C16:1n-7 4.02 3.32 2.52 1.79 1.03 C18:1n-9 12.32 11.02 9.69 8.51 7.20 ∑MUFAb 16.34 14.34 12.20 10.30 8.22 C18:2n-6 10.36 10.75 11.22 11.60 11.96 C20:4n-6 0.61 0.52 0.41 0.34 0.22 ∑n-6 PUFAc 10.97 11.26 11.63 11.93 12.18 C18:3n-3 1.84 1.70 1.59 1.48 1.37 C20:5n-3 5.68 4.90 4.22 3.48 2.68 C22:6n-3 8.19 7.17 6.13 5.15 3.99 ∑n-3 PUFAd 15.71 13.78 11.94 10.12 8.03 aSFA: saturated fatty acids
bMUFA: mono-unsaturated fatty acids
cn-6 PUFA: n-6 poly-unsaturated fatty acids
dn-3 PUFA: n-3 poly-unsaturated fatty acidsTable 2. Fatty acid profiles of the experimental diets (% total fatty acids)
Large yellow croaker (Larimichthys crocea) is one of the most productive mariculture fish in China. Studies on the substitution of VO for FO in the diet of large yellow croaker involve mainly consideration of soybean oil, palm oil and rapeseed oil. The possibility of substituting CO for FO in diets has not been reported (Du et al. 2017; Li et al. 2019a, b; Tan et al. 2016). Consequently, the purpose of this study was to investigate the effect of different dietary coconut oil (CO) levels on growth, antioxidant capacity and lipid metabolism of juvenile large yellow croaker. Moreover, the work aimed to provide the theoretical basis for the application of CO in feed.
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There was no significant difference in survival rate (SR) among dietary treatments (P > 0.05). With increasing dietary CO, the specific growth rate (SGR) increased first and then decreased. In fish that were fed the diet with 50% CO, the SGR was significantly higher than the control group (P < 0.05). The hepatosomatic index (HSI) was increased by increasing dietary CO. Thus, fish-fed diets containing 75% and 100% CO had significantly higher HSI than the control group (P < 0.05) (Table 3).
Index Coconut oil replacement level (%) 0% 25% 50% 75% 100% Survival rate (%) 81.67 ± 2.11 83.33 ± 3.41 82.78 ± 3.09 84.44 ± 4.03 86.11 ± 2.88 Initial body weight (g) 11.92 ± 0.23 12.04 ± 0.29 11.99 ± 0.14 12.02 ± 0.05 12.01 ± 0.20 Final body weight (g) 59.28 ± 2.11a 63.12 ± 1.98a 70.75 ± 3.44b 65.5 ± 0.89ab 61.12 ± 1.66a Specific growth rate (%/day) 2.32 ± 0.12a 2.37 ± 0.11a 2.54 ± 0.17b 2.42 ± 0.09ab 2.35 ± 0.06a Hepato-somatic index (%) 1.25 ± 0.12a 1.21 ± 0.10a 1.2 ± 0.09a 1.41 ± 0.13b 1.55 ± 0.14c The data are expressed as means SEM. The data with the same superscript show no significant difference (P > 0.05). SEM, standard error of means (n = 3) Table 3. Survival and growth performance of large yellow croaker-fed diets with graded levels of coconut oil
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No significant differences were observed among dietary treatments in terms of the moisture, ash, crude protein, crude lipid and muscle lipid (P > 0.05). When compared with the control group, the liver lipid was significantly increased in fish-fed diets with 75% and 100% CO (P < 0.05). Moreover, in fish-fed diet with 100% CO, the liver lipid was the highest. This was significantly higher than the other groups (P < 0.05) (Table 4).
Index Coconut oil replacement level (%) 0% 25% 50% 75% 100% Moisture (%) 73.25 ± 1.66 73.31 ± 0.99 73.82 ± 2.01 73.76 ± 2.33 73.45 ± 1.33 Ash (% d.w.) 13.02 ± 0.33 13.18 ± 0.28 13.2 ± 0.19 13.08 ± 0.23 13.19 ± 0.26 Crude protein (% d.w.) 60.59 ± 0.64 59.86 ± 0.55 61.49 ± 0.19 61.84 ± 0.77 60.36 ± 1.12 Crude lipid (% d.w.) 30.34 ± 0.33 30.39 ± 0.31 28.58 ± 0.55 28.44 ± 0.62 29.30 ± 0.58 Liver lipid content (% d.w.) 59.60 ± 1.30a 58.22 ± 1.51a 61.25 ± 1.28ab 64.77 ± 1.52b 69.85 ± 0.57c Muscle lipid content (% d.w.) 24.38 ± 0.61 24.91 ± 0.97 24.7 ± 0.53 23.77 ± 0.53 23.69 ± 0.44 The data are expressed as means SEM. The data with the same superscript show no significant difference (P > 0.05). SEM standard error of means (n = 3)
d.w. dry weightTable 4. Body composition (dry weight %) of large yellow croaker-fed diets with graded levels of coconut oil
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The liver saturated fatty acids (SFAs) (C10:0, C12:0, C14:0 and C18:0) were significantly increased in fish-fed diets with increasing dietary CO when compared with the control group (P < 0.05). However, the content of C16:0 and monounsaturated fatty acids (MUFA) (C16:1n-7 and C18:1n-9) in fish-fed diets with CO were not significantly different among the dietary treatments (P > 0.05). The liver content of C20:4n-6 showed a decreasing trend with increasing dietary CO, but there was not any significant difference among dietary treatments (P > 0.05). The liver content of C18:3n-3, C20:5n-3 and C22:6n-3 was significantly decreased with increasing dietary CO, and the ratio of n-3 PUFA/n-6 PUFA was also significantly decreased (P < 0.05).
Similarly to liver, the muscle SFAs (C10:0, C12:0, C14:0 and C18:0) were significantly increased with increasing dietary CO (P < 0.05). However, the muscle content of C16:1n-7 was gradually decreased with increasing dietary CO. When the dietary CO was higher than 50%, the muscle content was significantly higher than the control group (P < 0.05). Meanwhile, the trend of MUFA and C20:4n-6 was the same as the C16:1n-7. However, the n-6 PUFA was not significantly different among dietary treatments in the muscle (P > 0.05). When dietary CO was higher than 50%, the muscle n-3 PUFA (C18:3n-3, C20:5n-3 and C22:6n-3) were decreased significantly than the control group (P < 0.05). Also, the ratio of n-3 PUFA / n-6 PUFA was decreased significantly with increasing dietary CO (P < 0.05) (Tables 5, 6).
Index Coconut oil replacement level (%) 0% 25% 50% 75% 100% C8 0 0 0 0 0 C10 0 0.03 ± 0.01a 0.10 ± 0.01b 0.20 ± 0.02b 0.27 ± 0.02c C12 0.28 ± 0.03a 1.54 ± 0.12b 3.19 ± 0.15c 5.74 ± 0.55d 7.13 ± 0.65d C14 3.30 ± 0.08a 4.23 ± 0.31a 5.82 ± 0.12b 8.48 ± 0.45c 9.90 ± 0.22d C16 19.37 ± 1.56 21.46 ± 0.56 21.97 ± 0.61 21.17 ± 0.91 21.82 ± 0.89 C18 5.63 ± 0.28a 7.73 ± 0.21b 7.83 ± 0.31b 8.49 ± 0.39b 10.12 ± 0.22c ∑SFA 28.58 ± 1.59a 34.98 ± 1.09ab 38.92 ± 0.98bc 44.08 ± 2.33cd 49.24 ± 1.43d C16:1n-7 7.21 ± 0.42 6.77 ± 0.32 6.80 ± 0.47 6.03 ± 0.18 6.39 ± 0.11 C18:1n-9 16.85 ± 1.15 17.87 ± 1.18 16.69 ± 0.42 17.92 ± 0.77 17.31 ± 0.71 ∑MUFA 24.06 ± 1.58 24.65 ± 1.49 23.50 ± 0.99 23.95 ± 0.86 23.70 ± 0.83 C18:2n-6 11.75 ± 0.63 11.65 ± 0.61 11.21 ± 1.13 11.90 ± 0.25 10.29 ± 0.26 C20:4n-6 0.71 ± 0.02cd 0.66 ± 0.05c 0.59 ± 0.01bc 0.51 ± 0.02b 0.34 ± 0.03a ∑n-6 PUFA 12.46 ± 0.62 12.31 ± 0.15 11.80 ± 1.23 12.41 ± 0.25 10.62 ± 0.27 C18:3n-3 1.94 ± 0.07c 1.67 ± 0.02b 1.55 ± 0.02b 1.54 ± 0.03b 1.12 ± 0.01a C20:5n-3 3.89 ± 0.14e 3.38 ± 0.03d 2.69 ± 0.05c 2.31 ± 0.03b 1.22 ± 0.02a C22:6n-3 5.60 ± 0.32d 4.55 ± 0.10c 3.17 ± 0.10b 2.36 ± 0.07b 1.15 ± 0.08a ∑n-3 PUFA 11.43 ± 0.35e 9.60 ± 0.15d 7.41 ± 0.16c 6.21 ± 0.07b 3.48 ± 0.11a n-3/n-6 PUFA 0.92 ± 0.06d 0.78 ± 0.01cd 0.63 ± 0.05bc 0.50 ± 0.02ab 0.33 ± 0.01a The data are expressed as means SEM. The data with the same superscript show no significant difference (P > 0.05) SEM standard error of means (n = 3)
SFA saturated fatty acids, MUFA mono-unsaturated fatty acids, n-6 PUFA n-6 poly-unsaturated fatty acids, n-3 PUFA n-3 poly-unsaturated fatty acidsTable 5. Fatty acid composition (% total fatty acids) in the liver of large yellow croaker-fed diets with graded levels of coconut oil
Index Coconut oil replacement level (%) 0% 25% 50% 75% 100% C8 0 0 0 0 0 C10 0 0.15 ± 0.02a 0.33 ± 0.03b 0.52 ± 0.07cd 0.73 ± 0.12d C12 0.60 ± 0.01a 3.50 ± 0.21b 6.53 ± 0.53c 9.95 ± 0.76d 12.43 ± 1.02d C14 3.87 ± 0.10a 5.26 ± 0.11b 7.01 ± 0.24c 8.40 ± 0.07d 9.87 ± 0.52d C16 19.94 ± 0.32 19.63 ± 0.18 19.33 ± 0.52 18.98 ± 0.53 18.74 ± 0.14 C18 4.02 ± 0.16a 4.34 ± 0.24ab 4.63 ± 0.14ab 4.98 ± 0.15bc 5.31 ± 0.17c ∑SFA 28.24 ± 0.39a 32.74 ± 0.56b 37.49 ± 1.18c 42.31 ± 0.80d 46.45 ± 1.47e C16:1n-7 4.62 ± 0.05d 4.22 ± 0.02 cd 3.77 ± 0.15bc 3.40 ± 0.14ab 2.99 ± 0.23a C18:1n-9 14.50 ± 0.33 14.24 ± 0.03 13.99 ± 0.48 13.88 ± 0.37 13.66 ± 0.34 ∑MUFA 19.12 ± 0.28c 18.46 ± 0.04bc 17.77 ± 0.62ab 17.28 ± 0.50ab 16.65 ± 0.50a C18:2n-6 11.70 ± 0.41 11.41 ± 0.10 11.64 ± 0.26 11.55 ± 0.55 11.67 ± 0.32 C20:4n-6 0.76 ± 0.01c 0.66 ± 0.01bc 0.55 ± 0.02b 0.44 ± 0.04a 0.34 ± 0.05a ∑n-6 PUFA 12.46 ± 0.42 12.08 ± 0.09 12.19 ± 0.27 11.78 ± 0.59 12.02 ± 0.35 C18:3n-3 1.57 ± 0.04b 1.51 ± 0.01b 1.33 ± 0.04a 1.25 ± 0.08a 1.21 ± 0.06a C20:5n-3 4.25 ± 0.18d 3.72 ± 0.27cd 3.20 ± 0.02bc 2.72 ± 0.19ab 2.48 ± 0.26a C22:6n-3 8.28 ± 0.28d 7.37 ± 0.21cd 6.37 ± 0.20bc 5.19 ± 0.53ab 4.63 ± 0.56a ∑n-3 PUFA 14.10 ± 0.49d 12.59 ± 0.29cd 10.90 ± 0.17bc 9.17 ± 0.79ab 8.32 ± 0.88a n-3/n-6 PUFA 1.31 ± 0.01c 1.04 ± 0.08b 0.89 ± 0.02b 0.76 ± 0.03a 0.69 ± 0.06a The data are expressed as means SEM. The data with the same superscript show no significant difference (P > 0.05).
SEM standard error of means (n = 3) SFA saturated fatty acids, MUFA mono-unsaturated fatty acids, n-6 PUFA n-6 poly-unsaturated fatty acids, n-3 PUFA n-3 poly-unsaturated fatty acidsTable 6. Fatty acid composition (% total fatty acids) in the muscle of large yellow croaker-fed diets with graded levels of coconut oil
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With increasing dietary CO, the activity of glutathione peroxidase (GSH-Px) in the liver increased initially and then decreased. The peak was reached when dietary CO was 50%, which was significantly higher than other groups (P < 0.05). The liver content of malondialdehyde (MDA) was decreased significantly in fish-fed diets with CO; the minimum was in fish receiving food with 50% CO (P < 0.05). Furthermore, dietary CO had no significant effect on the liver enzyme activity of catalase (CAT), superoxide dismutase (SOD) and total antioxidant capacity (T-AOC) (P > 0.05). However, the activities of CAT, GSH-Px and SOD in the intestine were significantly higher in fish-fed diets with CO when compared with the control group (P < 0.05). Dietary CO did not significantly affect the T-AOC and the content of MDA in the intestine (P > 0.05) (Table 7).
Index Coconut oil replacement level (%) 0% 25% 50% 75% 100% Liver CAT (U/mgprot) 20.79 ± 0.78 21.55 ± 0.67 20.80 ± 0.37 22.07 ± 0.31 23.04 ± 0.99 GSH-PX (U/mgprot) 113.08 ± 8.06a 120.38 ± 4.42ab 166.19 ± 4.36d 143.67 ± 2.87c 139.46 ± 1.19bc MDA (nmol/mgprot) 18.72 ± 0.27b 17.77 ± 0.91ab 15.03 ± 0.28a 19.37 ± 0.49b 24.46 ± 0.98c SOD (U/mgprot) 140.64 ± 6.72a 154.62 ± 6.87ab 163.28 ± 5.92b 143.10 ± 8.73a 144.26 ± 4.97a T-AOC (U/mgprot) 1.76 ± 0.10 1.74 ± 0.09 1.93 ± 0.11 1.94 ± 0.07 1.86 ± 0.06 Intestine CAT (U/mgprot) 7.70 ± 0.31a 11.42 ± 0.83b 17.15 ± 1.21c 17.14 ± 0.95c 18.77 ± 0.91c GSH-PX (U/mgprot) 62.08 ± 5.72a 93.38 ± 3.94b 128.35 ± 2.91c 123.00 ± 3.56c 113.09 ± 2.38c MDA (nmol/mgprot) 8.83 ± 1.10 9.01 ± 0.86 8.68 ± 0.66 9.90 ± 1.31 9.99 ± 1.29 SOD (U/mgprot) 96.27 ± 3.69a 117.11 ± 2.82b 122.57 ± 3.14b 136.46 ± 3.43c 127.71 ± 1.29bc T-AOC (U/mgprot) 1.80 ± 0.05 1.98 ± 0.05 1.94 ± 0.06 1.85 ± 0.05 2.01 ± 0.06 The data are expressed as means SEM. The data with the same superscript show no significant difference (P > 0.05). SEM standard error of means (n = 3) Table 7. Antioxidant capacity in the liver and intestine of large yellow croaker-fed diets with graded levels of coconut oil
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The mRNA expression of srebp-1 decreased gradually with increasing dietary CO, but there was not any significant difference among dietary treatments (P > 0.05). In fish-fed diets with 75-100% CO, the mRNA expression of acc and scd-1 were decreased significantly compared with other groups (P < 0.05). The mRNA expression of fas was significantly higher in fish-fed diets with 75% and 100% CO than other groups (P < 0.05), especially peaking in the 100% CO group (Fig. 1).
Figure 1. Effects of dietary CO on the relative expression of sterol regulatory element binding protein-1 (srebp-1), stearoyl coenzyme A desaturase (scd-1), and fatty acid synthase (fas), cetyl-CoA carboxylase (acc) in the liver of large yellow croaker. The data are expressed as means SEM. The data with the same superscript show no significant difference (P > 0.05). SEM, standard error of means. (n = 3)
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The mRNA expression of cpt-1, aco and ppar-α increased first and then decreased with increasing dietary CO. The peak was reached in the 50% CO group, which was significantly higher than the control group (P < 0.05). The mRNA expression of atgl in fish-fed diets with CO were increased significantly when compared with the control group, peaking in fish-fed diet containing 100% CO (P < 0.05) (Fig. 2).
Figure 2. Effects of dietary CO on the relative expression of peroxisome proliferator-activated receptor α (ppar-α), carnitine palmitoyl transferase 1 (cpt-1), adipose triglyceride lipase (atgl) and acyl-CoA oxidase (aco) in the liver of large yellow croaker. The data are expressed as means SEM. The data with the same superscript show no significant difference (P > 0.05). SEM, standard error of means. (n = 3)
Survival and growth performance
Body composition
The liver and muscle fatty acid composition
Oxidation and antioxidant parameters in the liver and intestine
Expression of genes related to lipid metabolism
Expression of genes associated with lipid synthesis
Expression of genes associated with lipid β-oxidation
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In the present study, the growth of juvenile large yellow croaker was increased significantly in fish-fed diet containing 50% CO. Tseng and Lin (2020) demonstrated that 30 g/kg CO could increase significantly the growth performance of orange-spotted grouper, which is related to the increase of MCFAs content in diets. When compared with long-chain fatty acids (LCFAs), MCFAs are metabolized more rapidly and completely (Villarino et al. 2007). In addition, MCFAs are easier to be digested and absorbed (Villarino et al. 2007). Furthermore, MCFAs contribute to the absorption and retention of calcium, magnesium and amino acids (Kadota et al. 2015). Therefore, the optimal MCFAs content in diets may be the main reason to promote growth. However, with increasing dietary CO, namely in fish receiving the diet with 100% CO, a sharp decline was observed in the growth performance. This may be caused by the decrease in diets of essential fatty acid (EFA), which carnivorous fish lack the capacity to synthesize de novo by themselves (Kanazawa 1979; Watanabe 1982). The previous studies demonstrated that when dietary FO was totally replaced by VO, the reason for the decline in growth of marine fish was mostly related to the deficiency of EFA (Turchini et al. 2009; Zuo et al. 2012). Therefore, in order to meet their growth, immunity as well as the normal reproduction and survival of offspring, marine fish must obtain EFA from diets. Turchini et al. (2009) demonstrated that if dietary EFA requirements are met, a significant portion (60-75%) of dietary FO are able to be substituted with alternative lipid sources without significantly affecting the growth performance. Therefore, in this study, growth was not inhibited significantly in fish-fed diet with 100% CO when compared with the control group probably because the dietary EFA met the requirement.
Many studies showed that lipid metabolism of fish was influenced significantly with different dietary FAs composition (Caballero et al. 2002; López et al. 2009; Xu et al. 2011). In this study, with increasing dietary CO, the SFA content in the liver and muscle were increased significantly as the SFA content in diets. Besides, with the decrease in DHA and EPA in diets, the content of DHA and EPA in the liver and muscle was decreased significantly. However, the rate of decrease was lower than that in diets, indicating that DHA and EPA tended to accumulate in the body to maintain the normal physiological function of the fish (Torstensen et al. 2004; Trushenski et al. 2010; Zuo et al. 2015). In this study, the HSI and liver lipid content were increased significantly in fish-fed diet with 100% CO compared with the control group. This was consistent with the results in sunshine bass (Nematipour and Gatlin Ⅲ 1993) and polka dot grouper (Smith et al. 2005). Previous studies have found that fish-fed diets with too much SFAs could make the liver n-3/n-6 PUFA imbalance, resulting in abnormal deposition of fish liver lipid, which is due to excessive SFA. This could affect the metabolism of fatty acids (Leaver et al. 2006; Wang et al. 2016). Therefore, the imbalance of dietary n-3/n-6 PUFA and the low content of n-3 PUFA after the replacement of FO with a high proportion of CO may be one of the main reasons for liver lipid deposition (Zuo et al. 2012).
Compared with SFAs, PUFAs are more vulnerable to free radicals, and are more prone to peroxides (Ferreri and Chatgilialoglu 2009; Wood 1999). Lipid peroxidation may lead to impaired cell membrane function and inactivation of endogenous antioxidant enzymes (Peng et al. 2016; Winzer et al. 2000). The activities of CAT, SOD, and GSH-Px play key roles in the balance of oxidation and antioxidation in fish (Mourente et al. 2007; Ozkan et al. 2013). MDA is the final decomposition product of lipid peroxidation induced by free radicals, which is an important index to measure the degree of liver damage (Martínez et al. 2003). In this study, fish-fed diet with 50% CO showed the highest activities of SOD and GSH-Px, and had the lowest content of MDA in the liver. This suggests that SOD and GSH-Px may contribute to the suppression of MDA. Moreover, the activities of CAT, SOD and GSH-Px in the intestine were significantly higher when compared with fish-fed diets with CO. The results were in accordance with the previous studies in black seabream (Jin et al. 2017) and Russian sturgeon (Li et al. 2017), which demonstrated that fish-fed diets with CO could improve the antioxidant capacity.
The composition of fatty acids in the diet has a great influence on lipid metabolism, especially in lipid synthesis and β-oxidation. Fatty acid synthase (fas) plays a key role in lipid synthesis in the liver and is a rate-limiting enzyme for fatty acid synthesis (Smith et al. 2003). In this study, fish-fed diets with high levels of CO showed significantly higher mRNA expression of fas. Previous studies have shown that dietary polyunsaturated fatty acids (PUFAs) have an inhibitory effect on fas (Blake and Clarke 1990; Kralova et al. 2008). When a high proportion of CO replaced FO, the content of PUFAs in the diet decreased significantly while the SFAs increased significantly, thus reducing the inhibitory effect on fas in the liver (Bjermo et al. 2012). Conversely, β-oxidation is an important method of lipid metabolism in fish (Flatmark 1988). ppar-α exerts a key role in energy metabolism, which is mainly expressed in the liver. Some important enzymes of fatty acid β-oxidation, such as aco and cpt-1, were regulated by ppar-α (Kersten 2014; Souza-Mello 2015). In this study, fish-fed diet with 100% CO showed the lowest mRNA expression of ppar-α, aco and cpt-1. A previous study using Nile tilapia demonstrated that low expression of ppar-α could decrease lipid degradation, which was similar to that of mammals (Ning et al. 2016). Hence, it was concluded that the main reasons for the increase in lipid content in the liver may be attributed to the inhibition of ppar-α, aco, cpt-1 and the activation of fas, which accelerates the lipid accumulation process in the liver. Dietary CO at an appropriate level has been claimed to have numerous beneficial health effects. Moreover, the utilization efficiency of MUFA is also very efficient when compared with PUFA (Villarino et al. 2007). Therefore, fish-fed diet with 50% CO could facilitate the conversion of fatty acids into energy, and thus promote growth performance.
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In summary, the results of this study showed that dietary 50% CO could promote the growth performance of large yellow croaker. The beneficial effects could be attributed to the optimal dietary FAs composition and the increased activities of antioxidant enzymes in the liver and intestine.
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Five iso-nitrogen (45% crude protein) and iso-lipid (13% crude lipid) experimental diets were prepared by replacing 0% (the control), 25%, 50%, 75% and 100% fish oil with coconut oil. All ingredients were separately crushed in advance, using 0.18 mm sieves. The less used ingredients were mixed thoroughly one by one, then added to other ingredients one at a time and mixed thoroughly in a mixer. The oil was then added with the optimal amount of distilled water and mixed thoroughly. This was passed through a 0.25 mm sieve and thoroughly mixed. Distilled water (300 g/kg) was added to produce a stiff dough. After transferring to a granulator, distilled water (300 g/kg) was added with stirring in the opposite direction to make a dough. This was extruded into 4 mm particles. All diets were dried in a ventilated oven at 40 ℃ until attaining a moisture level below 5% and stored at - 20 ℃ in opaque bags. Procedures for making diets and their storage was in accordance with specific procedures described by Ai et al. (2008).
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Before the start of the study, the fish were acclimatized to a floating sea of 4 m × 4 m × 4 m in size for two weeks. Then, 60 fish of similar size (12.00 ± 0.20 g) were randomly distributed among 15 sea cages (1 m × 1 m × 1.5 m in size). Each diet was fed to the fish in three cages. The fish were fed twice daily at 5:00 and 17:00 for 10 weeks. After the end of the study, all the fish were starved for 24 h, and the fish in each cage were anesthetized and weighed. Environmental conditions (temperature 24.3-29.1 ℃, salinity 26.2-28.7‰, oxygen level 6.2-7.4 mg/L) were good for acclimation.
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The fish were sampled 24 h after starvation. Eugenol (1:10, 000) was used for anaesthesia; the weight and number of fish in each cage were weighed and counted, and three fish were randomly taken and stored in - 20 ℃ for experimental analysis. The fish livers were weighed, and the hepatosomatic index (HSI) was calculated. The livers from 12 fish (groups of three were mixed in a single tube) were immediately placed into the labelled cryopreservation tube in liquid nitrogen and stored at - 80 ℃ before analysis.
The sample was in a ventilated 105 ℃ drying oven to dry the sample to constant weight (AOAC 2003). The crude protein (whole body protein), crude lipid (whole body lipid) and the ash of the sample were determined after Ai et al. (2008). The fatty acid composition was analyzed using the procedures described by Metcalfe et al. (1966). Fatty acid methyl esters were identified and quantified by an HP6890 gas chromatograph (Agilent Technologies, Santa Clara, California, USA) with a capillary column (007-CW, Hewlett Packard, Palo Alto, CA, USA) and a flame ionization detector.
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Malondialdehyde (MDA), total antioxidant capacity (T-AOC), superoxide dismutase (SOD), catalase (CAT), glutathione peroxidase (GSH-Px) and malondialdehyde (MDA) were measured via the test kit produced by Nanjing Jiancheng Bioengineering Institute (China). All procedures were carried out in strict accordance with the instructions.
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The samples were ground in liquid nitrogen, and ~ 100 mg samples were taken and fully reacted in 1 ml RNAiso TM Plus from Takara (Japan) for total RNA extraction. RNA concentration and purity were determined by ultraviolet colorimetry (Nanodrop Thermo Fisher Scientific, USA), and RNA quality was determined by 1.5% agarose gel electrophoresis. The total RNA concentration was diluted to 500 ng/µl, and reverse transcription was performed immediately with the kit from Takara (Japan).
The real-time quantitative PCR procedure was performed in a total volume of 20 µl. The technique was programmed as follows. 95 ℃ for 2 min, followed by 40 cycles of 95 ℃ for 10 s, 58 ℃ for 15 s, and 72 ℃ for 10 s. The specificity of the product was determined by melting point curve analysis. The primer sequences (sterol-regulatory element binding protein-1 (srebp-1), fatty acid synthase (fas), stearoyl-coenzyme A desaturase (scd-1), peroxisome proliferator-activated receptor α (ppar- α), cetyl-CoA carboxylase (acc), adipose triglyceride lipase (atgl), acyl-CoA oxidase (aco), carnitine palmitoyltransferase1 (cpt-1) and β-actin) were calculated according to Tan et al. (2016) (Table 8).
Target genes Forward (5′–3′) Reverse (5′–3′) References srebp-1 TCTCCTTGCAGTCTGAGCCAAC TCAGCCCTTGGATATGAGCCT Cai et al. (2016) scd-1 AAAGGACGCAAGCTGGAACT CTGGGACGAAGTACGACACC Cai et al. (2016) fas CAGCCACAGTGAGGTCATCC TGAGGACATTGAGCCAGACAC Yan et al. (2015) acc TGTCGGAGGAGAACTCGGAAG GCCTTAGATTCTGCACGGGG Yan et al. (2015) ppar-α GTCAAGCAGATCCACGAAGCC TGGTCTTTCCAGTGAGTATGAGCC Yan et al. (2015) cpt-1 GCTGAGCCTGGTGAAGATGTTC TCCATTTGGTTGAATTGTTTACTGTCC Yan et al. (2015) atgl CCATGCATCCGTCCTTCAACC GAGATCCCTAACCGCCCACT Yan et al. (2015) aco AGTGCCCAGATGATCTTGAAGC CTGCCAGAGGTAACCATTTCCT Yan et al. (2015) β-actin CTACGAGGGTTATGCCCTGCC TGAAGGAGTAACCGCGCTCTGT Yan et al. (2015) srebp-1 sterol-regulatory element binding protein-1, scd-1 stearoyl-coenzyme A desaturase, fas fatty acid synthase, acc acetyl-CoA carboxylase, ppar-α peroxisome proliferator-activated receptor α, cpt-1 carnitine palmitoyl transferase 1, atgl adipose triglyceride lipase, aco acyl-CoA oxidase Table 8. Primer pair sequences for real-time PCR
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Growth and somatic indices were calculated according to the following:
wt-final weight of fish, wo-initial weight of fish, FN-final number, IN-initial number of fish in each cage, F-feed intake (g), P-amount of protein in the diet (%).
A one-way ANOVA was used for data statistics (SPSS 25.0). Tukey's test was used for significance comparison between groups. P < 0.05 indicates a significant difference. The data are expressed as means SEM. The data with the same superscript show no significant difference (P < 0.05).
Experimental diets
Experimental procedures
Sample collection and analysis
Antioxidant and lipid metabolism index
RNA extraction and real-time quantitative PCR
Calculations and statistical analysis
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This research was supported by the National Science Fund for Distinguished Young Scholars of China [grant number: 31525024], the China Agriculture Research System [Grant number: CARS47-11], Aoshan Talents Program Supported by Qingdao National Laboratory for Marine Science and Technology [Grant number: 2015ASTP], Key Program of National Natural Science Foundation of China [Grant number: 31830103] and Scientific and Technological Innovation of Blue Granary [Grant number: 2018YFD0900402]. We thank Kun Cui, Jiamin Li and Jinbao Li for their assistance in the study.
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QA and TD designed the experiments. TD, NX, YL, QL and ZY participated in breeding experiments and the production of feed. TD, NX, YL, DX, XJ and ZY collected the samples. TD performed the experiments and analyzed the data. TD wrote the paper. QA and KM directed and supervised the experiment. The final manuscript was approved by all the authors.
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Conflict of interest All the authors declare that there are no conflicts of interest.
Animal and human rights statement All applicable international, national and institutional guidelines for the care and use of animals were followed by the authors.