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Sodium salt medium-chain fatty acids and Bacillus-based probiotic strategies to improve growth and intestinal health of gilthead sea bream (Sparus aurata)

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Sodium salt medium-chain fatty acids and Bacillus-based probiotic strategies to improve growth and intestinal health of gilthead sea bream (Sparus aurata) https://t.co/uZBttUCgju https://t.co/AE3BjzC9KF
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Introduction

Aquaculture is an expanding industry with 73.8 million tonnes produced globally in 2014 (FAO, 2016). The increased demand for fish protein has led to the intensification of aquaculture practices increasing the risk of infectious diseases (Segner et al., 2012). In this regard, the growth of the aquaculture industry is hampered by nutritional and health factors which affect growth performance. To sort out these problems, antibiotics have been used for many years in the prevention, control and treatment against disease as well as growth promoters to improve animal performance (Done, Venkatesan & Halden, 2015). However, due to the occurrence of antibiotic cross-resistance, the European Union and other countries have completely or partially banned their use for growth and disease prevention purposes (January 2006; Regulation 1831/2003/EC). Hence, a number of alternatives, including enzymes, prebiotics, probiotics, phytonutrients and organic acids used alone or in combination have been proposed for the improvement of host immunity or animal growth and production (Seal et al., 2013).

The use of organic acids as feed additives has been in progress for over four decades, and several studies have proved their antimicrobial and growth-promoting action in swine and poultry (Suiryanrayna & Ramana, 2015; Khan & Iqbal, 2016). Currently, there is also commercial and research interests in the use of organic acids in aquafeeds to improve growth performance, nutrient utilization and disease resistance in commercially important farmed fish. Many studies have reported that some short-chain fatty acids (SCFAs) and their salts or mixtures can significantly enhance growth performance and health status of fish (Ng & Koh, 2016) or be benefitial in reverting detrimental effects produced by low inclusion levels of fish meal and fish oil (Benedito-Palos et al., 2016; Estensoro et al., 2016). Another type of organic acids often used as nutritional supplements are medium-chain fatty acids (MCFAs), which are highly abundant in oil distillates from coconut oil, palm kernels and milk. MCFAs have been suggested to have a role in immunological regulation (Wang et al., 2006), antibacterial activity (Bergsson et al., 2001; Skřivanová et al., 2009) and can also improve gut development, enhancing performance in piglets (Hanczakowska et al., 2016). The physiological consequences of supplementing fish aquafeeds with medium-chain triglycerides are poorly studied. However, a recent study in GSB demonstrated the up-regulation of different immune-related genes in skin of fish feed with a palm oil-supplemented diet, which could be considered a good mechanism to enhance humoral immunity in fish skin (Cerezuela et al., 2016). In the same way, stimulation of several immune parameters has been detected in European sea bass (Dicentrarchus labrax) fed with a diet enriched with extracts obtained from the date palm fruits (Guardiola et al., 2016).

Another potential strategy to replace antibiotics is the use of probiotics. Although the first application of probiotics in aquaculture feeds was more than three decades ago, their use has recently regained considerable attention due to their ability to act as growth promoters and their positive effects in disease control, nutrient digestion, reproduction, stress tolerance as well as in the improvement of water quality (Zorriehzahra et al., 2016). Among probiotics, the genus Bacillus has been used in humans and animals due to their ability to produce antimicrobial substances and their sporulation capacity, conferring them a double advantage in terms of survival in different habitats (Abriouel et al., 2011). Specifically, the spores of Bacillus amyloliquefaciens have been used as probiotics in poultry feeds, because they reduce the effect of pathogenic bacteria such as Clostridium perfringens, Escherichia coli and Yersinia and thus decrease poultry mortality (Diaz, 2007; Commission Regulation (EC) No. 1292/2008). Among the few studies addressing the use of B. amyloliquefaciens in aquafeeds, improved growth performance (Ridha & Azad, 2012) and enhanced immune status and disease resistance (Selim & Reda, 2015) have been described in Nile tilapia (Oreochromis niloticus). Similar results have also been reported for European eel (Anguilla anguilla) (Lu et al., 2011), catfish (Ictalurus punctatus) (Ran et al., 2012) and Indian major carp (Catla catla) (Das et al., 2013).

The aim of the present study was to evaluate the potential benefits of two commercially available feed additives, one based on MCFAs from coconut oil and another a Bacillus-based probiotic, in GSB, a marine farmed fish of high value for the Mediterranean aquaculture. To pursue this issue, we assessed their effects on growth performance and intestinal health in a 14-weeks feeding trial. To our knowledge, this is the first report addressing in the same study the effects of MCFAs with great growth-promoting action, and a Bacillus-based probiotic with promising effects on immune maintenance and disease resistance in a farmed fish.

Material & Methods

Experimental diets

The basal control diet (D1) and two different experimental diets (D2, D3) were formulated and delivered by SPAROS LDA (Portugal) (Table 1). D1 diet (45% protein and 18% fat), contained fish meal, blood proteins and poultry meal as the main source of dietary proteins. Plant ingredients as a blend of soy protein, wheat gluten, corn gluten, soybean meal, rapeseed meal, wheat meal and pea starch were included at 42%. Fish oil (SAVINOR, Portugal) was added at 13.9%. The experimental diets (D2 and D3) were prepared by supplementing D1 diet with two different commercial preparations: (i) medium-chain fatty acids in the form of a sodium salt of coconut fatty acid distillate (DICOSAN®, Norel) rich on C-12 was added as a powder to D2 diet at 0.3%; (ii) the probiotic Bacillus amyloliquefaciens CECT 5940 was added “top coated” to D3 diet, being mixed with oil and sprayed at the appropriate rate to match the final dose at 0.1%. All diets were supplemented with antioxidants, a mineral-vitamin mix and DL-methionine.

Table 1:
Experimental diet composition.
Ingredients of basal/control diet (D1). Experimental diets were formulated on the same composition of D1 with 0.3% DICOSAN for diet D2 or 0.1% probiotic (Bacillus amyloliquefaciens) for diet D3.
Ingredient (%) D1
Fishmeal LT Diamante 7.5
Fishmeal 60 20
CPSP 90 2.5
Porcine blood meal 5
Poultry meal 65 7
Soy protein concentrate 5
Wheat Gluten 6
Corn gluten 5
Soybean meal 48 9
Rapeseed meal 5
Wheat meal 7
Pea starch 5
Fish oil—SAVINOR 13.9
Vit & Min Premix 1
Binder (Kieselghur) 0.5
Antioxidant powder (Paramega) 0.2
Sodium propionate 0.1
DL-Methionine 0.3
DOI: 10.7717/peerj.4001/table-1

Fish, feeding trial and sampling collection

Juvenile GSB of Atlantic origin (Tina Menor, Santander, Spain) of 4–5 g initial body weight (May 2015) were acclimatized for more than two months to the indoor experimental facilities of the Institute of Aquaculture Torre de la Sal (IATS-CSIC, Spain). During this initial period, fish were fed with standard diets (Inicio Forte 824 1.9 mm; BioMar, Dueñas, Spain). Then, fish of 29.6 ± 0.32 g initial mean body weight (±SEM) were distributed in 500 l tanks in triplicate groups of 50 fish each. Each experimental diet was offered to visual satiety (one time per day) six days per week from June to August and five days per week from September to October in a 100-days feeding trial). Feed intake was recorded weekly and fish were counted and group-weighed every 4–6 weeks. Oxygen content of outlet water remained higher than 75% saturation, and day-length and water temperature followed the natural changes at IATS latitude (40°5′N; 0°10′E), varying from 24 °C in later June to 22 °C in early October with a maximum peak of 28 °C at the end of July.

At the end of the trial, overnight fasted fish (6 fish per tank, 18 per experimental condition) were randomly sampled and anaesthetized with 3-aminobenzoic acid ethyl ester (MS-222, 0.1 g/l; Sigma, St. Louis, MO, USA) for blood and tissue collection. Blood was quickly drawn from caudal vessels with heparinized syringes. One aliquot was directly used for measurements of leukocyte respiratory burst and hematocrit/hemoglobin determinations. The remaining blood was centrifuged at 3,000 ×g for 20 min at 4 °C, and plasma samples were frozen and stored at −80 °C until biochemical and immunological assays were done. Prior to tissue collection, anaesthetized fish were killed by cervical section, and liver, viscera and mesenteric fat were weighed. Intestine was taken for weight and length measurements. Representative portions of anterior and posterior intestinal segments were rapidly taken, frozen in liquid nitrogen and stored at −80 °C until RNA isolation. Additional samples of liver and intestinal segments were taken for histological processing.

All procedures were approved by the Ethics and Animal Welfare Committee of the Institute of Aquaculture Torre de la Sal according to national (Royal Decree RD53/2013) and EU legislation (2010/63/EU) on the handling of experimental animals.

Hematological, biochemical and immunological blood analyses

Hemoglobin concentration was determined with a HemoCue B-Hemoglobin Analyser® (Aktiebolaget Leo Diagnostics, Helsigborg, Sweden), which uses a modified azide methemoglobin reaction for Hb quantification. The hematocrit (Hc) was measured after centrifugation of blood in heparinized capillary tubes at 13,000 ×g for 10 min. Plasma glucose was determined by the glucose oxidase method (ThermoFisher Scientific, Waltham, MA, USA) according to manufacturer’s instructions. Plasma triglycerides (TGs) were determined using lipase/glycerol kinase/glycerol-3-phosphate oxidase reagent (ThermoFisher Scientific, Waltham, MA, USA). Total cholesterol was measured using cholesterol esterase/cholesterol dehydrogenase reagent (ThermoFisher Scientific, Waltham, MA, USA). Total plasma proteins were measured using BioRad protein reagent (Hercules, CA, USA) with bovine serum albumin as standard. Total antioxidant capacity was measured as Trolox activity using a microplate assay kit (709,001, Cayman Chemical, Ann Arbor, MI, USA).

Induction of the respiratory burst (RB) activity of blood leukocytes was measured directly from heparinized blood as previously reported (Saera-Vila et al., 2009). Briefly, 4 µl of heparinized blood were diluted with 96 µl Hank’s balanced salt solution pH 7.4 with calcium and magnesium (HBSS++; Gibco, ThermoFisher Scientific, Waltham, MA, USA) in duplicates in white 96 well plates (NUNC). One hundred µl of a luminol (Fluka, Sigma, St. Louis, MO, USA) solution 2 mM in borate buffer (0.2 M pH 9.2) with 2 µg/ml phorbol myristate acetate (PMA, Sigma, St. Louis, MO, USA) were added to each well and the luminescence was measured immediately every 3 min for 1 h at 25 °C in a microplate luminescence reader (Ultra Evolution; Tecan, Männedorf, Zürich, Switzerland). The integral luminescence in relative light units (RLU) was calculated using HBSS++ as a blank.

Plasma lysozyme was measured by a turbidimetric assay as previously described (Sitjà-Bobadilla et al., 2005). Briefly, 5 µl of serum were diluted with 5 µl of 50 mM sodium phosphate buffer pH 6.2 (PB) and incubated with 200 µl of a 0.3 mg/ml Micrococcus lysodeikticus (Sigma, St. Louis, MO, USA) suspension in PB. The reduction of the absorbance at 450 nm was determined in a microplate reader (Ultra Evolution; Tecan, Männedorf, Zürich, Switzerland) after 0.5 and 4.5 min and a unit of lysozyme activity was calculated as the amount of enzyme that caused a decrease in absorbance of 0.001 per min.

The alternative complement pathway (ACP) activity was determined using a modification of the method described in Sitjà-Bobadilla et al., (2005) using sheep red blood cells (SRBC; Durviz, Valencia, Spain) as a target. Briefly, 25 µl of a suspension of 2.85 ×108 SRBC/ml in 10 mM EGTA, 10 mM Mg2+ HBSS (without calcium and magnesium; Gibco, ThermoFisher Scientific, Waltham, MA, USA) were incubated with 100 µl of different dilutions of serum (1:5, 1:10, 1:20, 1:40, 1:80 and 1:100) in duplicates for 1 h at 20 °C with constant shaking. After spinning down the remaining SRBC, 75 µl of supernatants were transferred to a new 96 well plate and the absorbance at 415 nm was measured. Finally, the dilution of serum that caused 50% hemolysis (CH50) was calculated.

Serum immunoglobulin M (IgM) was analyzed using an ELISA assay. ELISA plates were coated with 50 µl of a 1:6,000 dilution of serum in carbonate/bicarbonate buffer 0.1 M pH 9.6, incubated overnight at 4 °C and, after washing, blocked with 200 µl Tris 20 mM 0.5 M NaCl pH 7.4 (TBS) 5% non-fat dry milk (BioRad, Hercules, CA, USA) for 1 h at 37 °C. Then, plates were washed, incubated with 50 µl of rabbit polyclonal anti-GSB IgM (Palenzuela, Sitjà-Bobadilla & Álvarez Pellitero, 1996) diluted 1:20,000 in TBS, 0.05% Tween 20 and 3% non-fat dry milk (3% TTBS) for 1 h at 37 °C, washed again and incubated for another hour with 50 µl of a 1:1,000 dilution of goat anti-rabbit-horseradish peroxidase (HRP) (Sigma, St. Louis, MO, USA) in 3% TTBS. After careful washing, the reaction was developed using the TMB substrate kit (BioRad, Hercules, CA, USA) following the manufacturer’s instructions, the reaction was stopped after 20 min with 1 N H2SO4 and the absorbance was measured at 450 nm. Each serum was tested in triplicates and a blank with no serum was included as a background control.

Plasma growth hormone (GH) levels were determined by a homologous GSB radioimmunoassay (RIA) (Martínez-Barberá et al., 1995). The sensitivity and midrange (ED50) of the assay were 0.15 and 2.5–3 ng/ml, respectively. Plasma insulin-like growth factors (IGFs) were extracted by acid-ethanol cryoprecipitation and the concentration of IGF-I was measured using a generic fish IGF-I RIA validated for Mediterranean perciform fish (Vega-Rubín de Celis et al., 2004). The sensitivity and midrange of the assay were 0.05 and 0.7–0.8 ng/ml respectively. Cortisol levels were analyzed using an EIA kit (kit RE52061, IBL International GmbH, Hamburg, Germany) following the manufacturer’s instructions. The limit of detection was 50 pg/ml with an assay midrange of 700 pg/ml.

Histological analyses

For histological examination, pieces of liver, anterior (immediately after the pyloric caeca) and posterior (immediately before the rectum) intestinal segments were fixed in 10% buffered formalin, embedded in paraffin, 4 µm-sectioned and stained with hematoxylin-eosin (H&E), Giemsa and periodic acid-Schiff (PAS) following standard procedures. For each dietary group, a total of 9 fish were examined (three fish per tank replicate).

Immunohistochemical analyses

In order to further characterize the observations performed in the histological analyses, 4 µm thick paraffin sections of anterior and posterior intestine samples were collected on Super-Frost-plus microscope slides (Menzel-Gläser, Braunschweig, Germany) and dried overnight. To stain histamine positive cells we used the protocol described in Estensoro et al. (2014) with some modifications. Briefly, samples were deparaffinized and hydrated and the endogenous peroxidase activity was blocked by incubation in methanol:hydrogen peroxide 0.3% v/v in a 9:1 proportion for 40 min. All incubations were performed in a humid chamber, at room temperature and the washing steps consisted of 5 min immersion in TTBS (20 mM Tris–HCl, 0.5 M NaCl, 0.05% Tween 20, pH 7.4) and 5 min immersion in TBS (without Tween 20) unless stated otherwise. Slides were washed and blocked twice for 30 min, first with TBS 5% bovine serum albumin (BSA) and secondly with 1.5% normal goat serum (Vector Laboratories, Burlingame, CA, USA). After washing, they were incubated with a rabbit anti-histamine antibody (Sigma, St. Louis, MO, USA) 1:50 in TBS overnight at 4 °C, washed again and incubated with a biotinylated goat anti-rabbit antibody 1:200 in TBS (Vector Laboratories, Burlingame, CA, USA) for 1 h. The slides were subsequently washed, incubated for 1 h with the avidin-biotin-peroxidase complex (ABC, Vector Laboratories, Burlingame, CA, USA.), washed and developed by incubating with 3,3′-diaminobenzidine tetrahydrochloride chromogen (DAB; Sigma, St. Louis, MO, USA) for 2 min. The reaction was stopped with deionized water and the slides were counterstained for 5 min with Gill’s hematoxylin before being dehydrated and mounted for light microscopy examination.

Table 2:
Genes included in the PCR-array.
Category Gene name Symbol Accession No.
Energy sensing Sirtuin 1 sirt1 KF018666
Sirtuin 2 sirt2 KF018667
Sirtuin 3 sirt3 KF018668
Sirtuin 4 sirt4 KF018669
Sirtuin 5 sirt5 KF018670
Sirtuin 6 sirt6 KF018671
Sirtuin 7 sirt7 KF018672
Intestinal epithelial barrier Occludin ocln KF861990
Claudin-12 cldn12 KF861992
Claudin-15 cldn15 KF861993
Cadherin-1 cdh1 KF861995
Cadherin-17 cdh17 KF861996
Enterocyte mass and nutrient absorption Intestinal-type alkaline phosphatase alpi KF857309
Liver-type fatty acid-binding protein fabp1 KF857311
Intestinal fatty acid-binding protein fabp2 KF857310
Ileal fatty acid-binding protein fabp6 KF857312
Mucus production and goblet cell differentiation Mucin 2 muc2 JQ277710
Mucin 13 muc13 JQ277713
Intestinal mucin i-muc JQ277712
Transcription factor hes-1-b hes1-b KF857344
Krueppel-like factor 4 klf4 KF857346
Immunological/inflammatory status Tumor necrosis factor-alpha tnfα AJ413189
Interleukin-1 beta il1β AJ419178
Interleukin-6 il6 EU244588
Interleukin-8 il8 JX976619
Interleukin-10 il10 JX976621
Cd4 cd4 AM489485
Cd8 alpha cd8α EU921630
Cd8 beta cd8β KX231275
Galectin-1 lgals1 KF862003
Galectin-8 lgals8 KF862004
Secreted Immunoglobulin M sIgM JQ811851
Secreted Immunoglobulin T sIgT KX599200
Membrane Immunoglobulin M mIgM KX599199
Membrane Immunoglobulin T mIgT KX599201
DOI: 10.7717/peerj.4001/table-2

RNA extraction, reverse transcription and gene expression analyses

RNA from anterior and posterior intestine samples was extracted using a MagMAX-96 total RNA isolation kit (Life Technologies, Madrid, Spain) as described before (Bermejo-Nogales, Calduch-Giner & Pérez-Sánchez, 2015). The RNA yield was 50–100 µg and RIN (RNA integrity number) values were 8–10 with the Agilent 2100 Bioanalyzer. Reverse transcription (RT) of 500 ng total RNA was performed with random decamers, using the High-Capacity cDNA Archive kit (Applied Biosystems, Foster City, CA, USA) following manufacturer’s instructions. Negative control reactions were performed excluding the reverse transcriptase.

A 96-well PCR array layout was used for the simultaneous profiling under uniform cycling conditions of 35 selected markers of intestinal epithelial barrier, enterocyte mass and nutrient absorption, mucin production and goblet cell differentiation and immunological status (Table 2). The primers were designed to obtain amplicons of 50–150 bp in length (Table S1). Each PCR reaction of 25 µl contained the equivalent of 660 pg of total input RNA, 12.5 µl of 2 × SYBR Green Master Mix (BioRad, Hercules, CA, USA) and 0.9 µM of specific primers. The pipetting and liquid manipulations required to construct the arrays were performed by use of an EpMotion 5070 Liquid Handling Robot (Eppendorf, Hamburg, Germany), and the real-time quantitative PCR was carried out on an Eppendorf Mastercycler Ep Realplex Real-Time PCR Detection System (Eppendorf, Hamburg, Germany). The PCR amplification program consisted of an initial denaturation step at 95 °C for 3 min, followed by 40 cycles of denaturation for 15 s at 95 °C and annealing/extension for 60 s at 60 °C. The efficiency of PCRs (>90%) was checked, and the specificity of reactions was verified by analysis of melting curves (ramping rates of 0.5 °C/10 s over a temperature range of 55–95 °C) and linearity of serial dilutions of RT reactions. Fluorescence data acquired were analyzed using the delta-delta Ct method (Livak & Schmittgen, 2001). Ct values of β actin were consistent among groups (with a minimum of 21.88 ± 0.14 and a maximum of 22.21 ± 0.19) in spite of the dietary treatment or the intestine section, and it was used as housekeeping gene. To compare mRNA expression levels, all values were referenced to the expression level of sirt1 (with a Ct value corresponding to the median of Ct values from all genes analyzed) in the anterior intestine of D1 fish, for which a value 1 was arbitrarily assigned.

Statistical analyses

Data on growth performance and blood biochemistry of the different experimental diets were analyzed by one-way analysis of variance followed by Holm-Sidak test. Two-way analysis of variance, followed by the Student-Newman-Keuls (SNK) test, was carried out to analyze the effect of dietary treatment on the intestine gene expression (with intestine segment and diet as variable factors). The significance level was set at P < 0.05. All analyses were made using the SigmaPlot version 13.0 (Systat Software, San Jose, CA, USA). Hierarchical Clustering to assess the gene expression pattern across intestine between experimental diets was carried out by means of Genesis software (Sturn, Quackenbush & Trajanoski, 2002).

Results

Growth performance

To assess the effects of experimental diets on growth performance, data on feed intake, body weight and organo-somatic indexes were calculated (Table 3). Fish fed D1 and D3 diets showed equally good growth performance across the feeding trial, growing from an initial body weight of 29.66 ± 0.49 g to 146.56 ± 1.11 g with overall feed efficiencies of 0.82–0.84 that were not significantly altered by dietary treatment. Conversely, fish fed D2 diet showed increased feed intake and grew significantly faster when compared to the fish fed D1 with a final body weight (167.7 ± 2.26 g) and weight gain (468 ± 6.10%) that were significantly improved by a 12% and 15%, respectively. This yielded specific growth rates that increased significantly from 1.61 ± 0.01 (D1) and 1.58 ± 0.04 (D3) to 1.74 ± 0.01 in fish fed D2 diet.

Organo-somatic indexes calculated as the ratio of tissue to body weight were determined for liver, viscera, mesenteric fat and intestine (Table 3). The resulting viscerosomatic (VSI) and mesenteric (MSI) indexes were not altered by dietary treatment, whereas hepatosomatic index (HSI) of fish fed D2 (2.03 ± 0.06) was significantly higher than those of D1 (1.70 ± 0.06) and D3 (1.77 ± 0.07) fed fish. Dietary intervention did not alter the intestine weight index calculated as the ratio of organ weight to fish weight (IWI). However, when it was determined as the quotient of fish weight to intestine length (ILI), this relative intestine length index was significantly increased from 10.9 ± 1.78 in D1 fish to 19.9 ± 2.12 in fish fed D2. Intermediate ILI values (12.3 ± 2.78), that did not differ significantly from D1 values, were achieved in fish fed D3 diet.

Table 3:
Effects of experimental diets on growth performance and organo-somatic indexes.
Effects of dietary treatment on growth performance of gilthead sea bream juveniles fed to visual satiety with different experimental diets for 14 weeks. Data on body weight, feed intake and growth indices are the mean ±  SEM of triplicate tanks. Data on liver and viscera weight are the mean ± SEM of 18 fish. Data on intestine indexes are the mean ± SEM of nine fish. Different superscript letters in each row indicate significant differences among dietary treatments (Holm-Sidak test P < 0.05).
D1-CTRL D2-DICOSAN D3-Probiotic P1
Initial body weight (g) 29.2 ± 0.41 29.5 ± 0.14 30.1 ± 0.88 0.149
Final body weight (g) 147.9 ± 1.95a 167.7 ± 2.26b 145.8 ± 1.82a 0.003
Final fork length (cm) 17.7 ± 0.17 17.9 ± 0.22 17.4 ± 0.22 0.148
Feed intake (g DM/fish) 148.7 ± 3.48a 163.3 ± 3.29b 139.9 ± 3.26a 0.003
CF2 2.84 ± 0.07 2.99 ± 0.01 2.87 ± 0.07 0.326
Weight gain (%)3 400.0 ± 3.24a 468.8 ± 6.10b 384.6 ± 18.2a 0.01
SGR (%)4 1.61 ± 0.01a 1.74 ± 0.01b 1.58 ± 0.04a 0.014
FE (%)5 0.82 ± 0.01 0.85 ± 0.01 0.84 ± 0.01 0.207
Liver weight (g) 2.74 ± 0.11a 3.51 ± 0.13b 2.69 ± 0.15a <0.001
Viscera weight (g) 10.5 ± 0.38a 11.9 ± 0.47b 10.1 ± 0.35a 0.008
Mesenteric fat (g) 1.85 ± 0.21 2.30 ± 0.25 2.21 ± 0.32 0.438
Intestine weight (g) 2.65 ± 0.34 2.60 ± 0.19 2.32 ± 0.23 0.631
Intestine length (cm) 11.0 ± 0.81 10.0 ± 0.46 11.6 ± 0.86 0.264
HSI (%)6 1.70 ± 0.06a 2.03 ± 0.06b 1.77 ± 0.07a 0.004
VSI (%)7 6.62 ± 0.15 6.92 ± 0.25 6.78 ± 0.25 0.648
MSI (%)8 1.18 ± 0.14 1.36 ± 0.15 1.22 ± 0.12 0.652
IWI (%)9 1.59 ± 0.15 1.57 ± 0.09 1.53 ± 0.15 0.951
ILI10 10.9 ± 1.78a 19.9 ± 2.12b 12.3 ± 2.78ab 0.029
DOI: 10.7717/peerj.4001/table-3

Notes:

Values resulting from one-way analysis of variance.
Condition factor = (100× body weight)/fork length3.
Weight gain (%) = (100× body weight increase)/initial body weight.
Specific growth rate = 100× (ln final body weight − ln initial body weight)/days.
Feed efficiency = wet weight gain/dry feed intake.
Hepatosomatic index = (100× liver weight)/fish weight.
Viscerosomatix index = (100× viscera weight)/fish weight.
Mesenteric fat index = (100× mesenteric fat weight)/fish weight.
Intestine weight index = (100× intestine weight)/fish weight.
Intestine length index = (100× fish weight)/intestine length3.
Table 4:
Effects of experimental diets on blood biochemistry and immunological parameters.
Gilthead sea bream juveniles were fed to visual satiety with different experimental diets for 14 weeks. Data are the mean ± SEM of nine fish. Different superscript letters in each row indicate significant differences among dietary treatments (Holm-Sidak test P < 0.05).
D1-CTRL D2-DICOSAN D3-Probiotic P1
Haemoglobin (g/dl) 10.3 ± 0.24 10.3 ± 0.35 9.6 ± 0.26 0.198
Haematocrit (%) 43.5 ± 1.35 39.6 ± 1.47 38.5 ± 1.82 0.072
Glucose (mg/dl) 36.9 ± 1.38a 43.7 ± 2.21b 42.5 ± 1.94ab 0.049
Triglycerides (mM) 6.95 ± 1.30 4.73 ± 1.00 3.48 ± 0.70 0.084
Total cholesterol (mg/dl) 188.5 ± 10.2 191.6 ± 6.48 169.9 ± 6.22 0.130
Total proteins (g/l) 40.5 ± 1.12 40.3 ± 1.22 38.9 ± 1.39 0.629
Antioxidant capacity (Trolox mM) 0.90 ± 0.02 0.88 ± 0.03 0.86 ± 0.02 0.446
GH (ng/ml) 11.4 ± 1.30 10.9 ± 0.99 13.8 ± 1.36 0.157
IGF-I (ng/ml) 83.7 ± 3.4 94.4 ± 6.9 82.7 ± 7.8 0.101
IGF-I/GH 7.73 ± 0.62 8.97 ± 0.56 6.73 ± 0.89 0.250
Respiratory burst (IRLU) 1462.2 ± 239.8a 1032.5 ± 197.5ab 686.6 ± 182.2b 0.044
Lysozyme (Units/ml) 93.7 ± 49.7 29.2 ± 11.1 13.4 ± 9.5 0.153
Alternative complement pathway (ACH50) 25.8 ± 5.37 24.5 ± 8.84 29.1 ± 5.18 0.886
IgM (OD 450 nm) 1.27 ± 0.04a 1.17 ± 0.06ab 1.04 ± 0.09b 0.024
Cortisol (ng/ml) 8.27 ± 0.96a 6.92 ± 0.67ab 4.74 ± 1.03b 0.038
DOI: 10.7717/peerj.4001/table-4

Notes:

Values resulting from one-way analysis of variance.

Blood biochemistry and immunological parameters

Different biochemical and immunological analyses were performed on fish blood to assess the effects of experimental diets (Table 4). Dietary intervention did not alter the measured hematological parameters yielding values in the range of 39–43% for Hc and 9.6–10.3 g/dl for Hb concentration. Likewise, plasma levels of triglycerides, cholesterol and proteins were not altered by diet, whereas plasma glucose concentration was significantly increased in fish fed D2 in comparison to D1. Plasma total antioxidant capacity remained unaltered by dietary treatment. A significant diet effect was not found on circulating levels of growth factors (GH, IGF-I), although the highest IGF-I/GH ratio was coincident with the enhanced feed intake and growth found in fish fed D2.

Regarding blood immunological parameters, D3 fed fish showed an anti-inflammatory profile characterized by significantly decreased respiratory burst on PMA stimulated leukocytes and reduced levels of circulating IgM and cortisol when compared to D1 diet. D2 diet yielded intermediate values in all cases. Serum lysozyme values were not significantly different among groups. The alternative complement pathway (ACH50) was completely unaffected by the different diets.

Histological observations

The effect of the different diets was evaluated by histology. Liver and intestinal samples of all groups were observed to determine differences in general appearance, tissue integrity and cell types present. The liver did not show any pathological effect or significant difference among groups (Figs. 1A1C). Fat accumulation was similar in the three groups and no steatosis was observed in hepatocytes. Glycogen deposition was similar and moderate in all groups.

Histological effects of experimental diets.

Figure 1: Histological effects of experimental diets.

Photomicrographs of liver (A–C), anterior (D–I) and posterior (J–L) intestinal segments of gilthead sea bream fed with D1 (control) (A, D, G, J), D2 (supplemented with DICOSAN) (B, E, H, K) or D3 (supplemented with the probiotic Bacillus amyloliquefaciens) (C, F, I, L). Staining, scale bars: A–F = H&E, 100 µm; G–L = Giemsa, 10 µm. White arrows point to goblet cells. Black arrowheads point to submucosa with abundant eosinophilic granulocytes (pink cells). Inset in J (scale bar = 10 µm) shows the characteristic irregular and granular shaped eosinophilic granulocytes.

In the intestine, goblet cells showed similar histochemical characteristics in all groups and their abundance was slightly higher in the anterior intestine of D3 fed fish (Figs. 1G1L). Interesting differences were observed in the intestinal architecture of the different dietary groups (Figs. 1D1F). Anterior intestines of D3 fed fish showed clearly higher intestinal folds or villi, whereas D2 diets induced denser and more complex folds. Another remarkable difference was the presence of eosinophilic granulocytes in the submucosa of the different groups. The irregular shape and size of these cells make exact quantification difficult, thus we only refer to abundance based on overall observations. Eosinophilic granulocytes appeared in almost double amounts in the submucosa of the anterior intestine of fish fed with D2 and were clearly less abundant in the posterior intestine of the D3 group, when compared to the other two groups (Figs. 1G1L).

Immunohistochemistry

The presence of a differential number of eosinophilic granulocytes in the intestinal submucosa of fish from the different dietary challenges required a further characterization of the cell types. Fish granulocytes differ from those of mammals in their staining properties, which also vary among fish species (Reite & Evensen, 2006). GSB eosinophilic granulocytes can be either acidophils or mast cells, and from these two, only mast cells contain histamine (Mulero et al., 2007). Thus, an anti-histamine antibody was used to further characterize these cells. This allowed detecting histamine-positive cells with similar shape, size and location to those of the observed eosinophilic granulocytes in Figs. 1G1L (Fig. 2), and therefore we conclude that at least part of the observed eosinophilic granulocytes were histamine-positive mast cells. As stated before, reliable quantification of these cells could not be performed, thus we only refer to significant changes that can be observed by microscopic observation. The anterior intestine of D1 and D2 fed fish had large numbers of mast cells, whereas at least half the amount was found in D3 fed fish (Figs. 2A2C). In the posterior intestine, mast cells were more abundant in D2 fed fish and clearly lower in D3 fed fish when compared to the control animals (Figs. 2D2F). Although the presence of another type of eosinophilic granulocytes (acidophils) cannot be discarded, it is clear that, at least, the mast cell population in the intestinal submucosa is affected by the different dietary treatments.

Effects of experimental diets on mast cell abundance in the intestinal submucosa.

Figure 2: Effects of experimental diets on mast cell abundance in the intestinal submucosa.

Representative photomicrographs of anterior (A–C) and posterior (D–F) intestinal segments of gilthead sea bream fed with D1 (control) (A, D), D2 (supplemented with DICOSAN) (B, E) or D3 (supplemented with the probiotic Bacillus amyloliquefaciens) (C, F) and stained with an anti-histamine antibody. Histamine positive cells are located in the submucosa and appear brown. All pictures were taken using the same magnification (40×) and the scale bars are 10 µm. White arrows point to some representative mast cells in the submucosa. Inset in D (scale bar = 10 µm) shows a typical histamine positive cell with irregular shape and cytoplasmic granules.
Table 5:
Relative gene expression of anterior and posterior intestinal sections of gilthead sea bream fed experimental diets.
Data are the mean ± SEM of 9 fish. All values are referred to sirt1 with an arbitrary value of 1 in the anterior intestine of fish fed D1. P-values are the result of two-way analysis of variance followed by SNK test.
Anterior intestine Posterior intestine ANOVA II, P-value
D1-CTRL D2-DICOSAN D3-Probiotic D1-CTRL D2-DICOSAN D3-Probiotic Int. Segment Diet Interaction
sirt1 1.03 ± 0.09 0.84 ± 0.04 0.77 ± 0.04 0.85 ± 0.09 0.84 ± 0.09 0.89 ± 0.15 0.847 0.441 0.283
sirt2 1.22 ± 0.11 1.05 ± 0.03 0.93 ± 0.06 1.09 ± 0.10 1.06 ± 0.11 1.12 ± 0.13 0.741 0.378 0.253
sirt3 0.52 ± 0.07 0.35 ± 0.02 0.34 ± 0.03 0.46 ± 0.08 0.42 ± 0.04 0.52 ± 0.08 0.187 0.203 0.129
sirt4 0.15 ± 0.02 0.13 ± 0.01 0.12 ± 0.01 0.13 ± 0.02 0.12 ± 0.02 0.13 ± 0.02 0.549 0.642 0.569
sirt5 1.08 ± 0.10 1.04 ± 0.05 0.96 ± 0.10 1.11 ± 0.12 1.04 ± 0.058 1.24 ± 0.09 0.171 0.768 0.264
sirt6 0.24 ± 0.03 0.21 ± 0.01 0.20 ± 0.01 0.21 ± 0.03 0.19 ± 0.02 0.25 ± 0.03 0.939 0.465 0.162
sirt7 0.26 ± 0.02 0.24 ± 0.01† 0.18 ± 0.01∗∗ 0.25 ± 0.02 0.23 ± 0.02 0.26 ± 0.05 0.360 0.453 0.219
ocln 6.36 ± 0.66 6.02 ± 0.23 6.73 ± 0.61 8.52 ± 0.54 10.2 ± 0.83 9.71 ± 1.35 <0.001 0.583 0.431
cldn12 0.94 ± 0.10 1.05 ± 0.05 0.95 ± 0.04 1.02 ± 0.12 1.29 ± 0.13 1.16 ± 0.13 0.035 0.154 0.716
cldn15 27.3 ± 3.69 23.5 ± 0.76 26.5 ± 1.95 40.1 ± 3.73 48.7 ± 6.90 48.7 ± 9.13 <0.001 0.772 0.493
cdh1 22.8 ± 2.76 14.4 ± 0.68∗∗ 14.8 ± 0.77∗∗ 12.22 ± 1.17 15.4 ± 1.63 12.5 ± 0.92 0.001 0.032 0.001
cdh17 72.0 ± 7.72 62.7 ± 1.77 71.9 ± 4.14 45.9 ± 2.07 53.03 ± 4.42 49.9 ± 4.06 <0.001 0.759 0.150
alpi 112.7 ± 9.78 124.4 ±7.99† 97.7 ± 8.36 28.8 ± 3.79 40.8 ± 6.60 35.5 ± 3.35 <0.001 0.041 0.313
fabp1 159.5 ± 16.5 155.4 ± 8.64 147.8 ± 6.87 119.8 ± 18.3 136.6 ± 30.2 142.4 ± 23.8 0.113 0.882 0.872
fabp2 364.0 ± 94.9 734.4 ± 104.9 556.2 ± 73.8 606.9 ± 83.5 1208.5 ± 210.6 799.2 ± 189.8 0.006 0.003 0.599
fabp6 <0.05 <0.05 <0.05 3423.5 ± 507.1 2563.6 ± 440.6 2874.4 ± 435.9 <0.001 0.424 0.424
muc2 41.5 ± 3.3 44.4 ± 3.03 39.06 ± 2.60 37.9 ± 3.24 32.6 ± 2.84 39.5 ± 4.02 0.063 0.923 0.142
muc13 149.2 ± 17.1 118.7 ± 5.49 107.9 ± 6.22 101.6 ± 9.47 121.7 ± 10.2 98.7 ± 7.93 0.027 0.067 0.037
i-muc 0.14 ± 0.02 0.15 ± 0.04 0.13 ± 0.02 7.29 ± 3.10 26.6 ± 16.9 29.1 ± 18.2 0.015 0.513 0.513
hes1-b 3.82 ± 0.67 3.3 ± 0.36 3.59 ± 0.39 4.04 ± 0.45 4.61 ± 0.70 5.05 ± 1.17 0.078 0.808 0.636
klf4 2.88 ± 0.25 2.68 ± 0.17 3.15 ± 0.28 2.21 ± 0.18 2.90 ± 0.19 2.87 ± 0.22 0.186 0.136 0.143
tnfα 0.13 ± 0.02 0.11 ± 0.01 0.12 ± 0.01 0.12 ± 0.01 0.14 ± 0.01 0.16 ± 0.02 0.094 0.356 0.108
il1β 0.08 ± 0.01 0.08 ± 0.01 0.09 ± 0.01 0.11 ± 0.01 0.12 ± 0.01 0.12 ± 0.02 0.002 0.849 0.964
il6 0.03 ± 0.01 0.02 ±0.00† 0.04 ± 0.00 0.02 ± 0.00 0.02 ± 0.00 0.04 ± 0.01 0.615 0.024 0.596
il8 0.25 ± 0.04 0.13 ± 0.01∗∗ 0.17 ± 0.03 0.32 ± 0.09 0.21 ± 0.03 0.22 ± 0.04 0.050 0.038 0.939
il10 0.11 ± 0.02 0.12 ± 0.01 0.11 ± 0.01 0.16 ± 0.01 0.16 ± 0.02 0.17 ± 0.03 0.001 0.916 0.817
cd4 0.53 ± 0.12 0.35 ± 0.02 0.32 ± 0.02 0.55 ± 0.04 0.52 ± 0.06 0.45 ± 0.05 0.032 0.038 0.446
cd8α 0.80 ± 0.09 0.86 ± 0.09 0.71 ± 0.05 0.80 ± 0.13 1.10 ± 0.15 1.15 ± 0.19 0.036 0.382 0.259
cd8β 0.12 ± 0.02 0.13 ± 0.02 0.10 ± 0.01 0.14 ± 0.02 0.18 ± 0.03 0.18 ± 0.04 0.008 0.522 0.458
lgals1 5.70 ± 0.70 5.92 ± 0.37 5.31 ± 0.50 10.2 ± 0.97 10.4 ± 0.83 9.86 ± 1.23 <0.001 0.741 1.000
lgals8 3.77 ± 0.40 2.76 ± 0.15 2.72 ± 0.24 3.00 ± 0.33 4.23 ± 0.70 3.92 ± 0.78 0.131 0.935 0.074
sIgM 10.1 ± 3.59 4.14 ± 0.86 5.77 ± 0.66 11.9 ± 3.87 8.09 ± 2.90 8.36 ± 1.67 0.180 0.134 0.906
sIgT 0.10 ± 0.03 0.08 ± 0.01† 0.12 ± 0.02 0.05 ± 0.02 0.08 ± 0.02 0.12 ± 0.04 0.403 0.146 0.518
mIgM 0.20 ± 0.07 0.15 ± 0.02 0.13 ± 0.01 0.40 ± 0.09 0.23 ± 0.04 0.38 ± 0.10 0.002 0.231 0.41
mIgT 0.45 ± 0.03 0.44 ± 0.05 0.58 ± 0.11 0.59 ± 0.06 0.83 ± 0.09 1.56 ± 0.46 <0.001 0.004 0.038
DOI: 10.7717/peerj.4001/table-5

Notes:

Asterisks (*), indicate significant differences (P < 0.05,∗∗P < 0.01) between control and experimental diets. Crosses (†), indicate significant differences (†P < 0.05) between experimental diets.

Gene expression profiles

The gene expression profile of selected markers was studied in samples of anterior and posterior intestines of fish fed the different experimental diets in order to characterize the general intestinal status of these fish. For most studied genes, a clear expression pattern across intestinal segments was found, regardless of the diet. The structural genes cdh1, cdh17, had higher expression in anterior intestine, whereas cldn15, ocln and cldn12, were mostly expressed in posterior intestine (as indicated by the low P values in the intestinal segment column of Table 5). Markers of enterocyte mass and nutrient absorption were also differentially expressed across the intestine, with higher expression of alpi in the anterior intestine and fabp6 in the posterior intestine. Some markers of mucus production (muc13, i-muc) also showed a pronounced spatial pattern. Markers of immunological status (il1 β, il8, il10, cd4, cd8 α, cd8 β, lgals1, mIgM and mIgT) were significantly higher expressed in posterior intestine.

Regarding the diet effect, fish fed D2 and D3 diets showed a reduced expression of energy sensing molecules (sirt1, sirt2, sirt3), cdh1, cd4 and lgals8 in anterior intestine, compared to fish fed D1 diet. Fish fed D2 diet showed the highest expression of alpi, significantly in the anterior intestine when compared to D3 fed fish. The expression of fabp2 was higher in D2 than in D1 fish in both anterior and posterior intestinal segments, whereas intermediate values were found in D3 fish. Overall, the expression level of mucin genes was not significantly altered by diet, although the diet × intestine section interaction was statistically significant for muc13, and its expression was significantly down-regulated in D3 fish in comparison to D1 fish. Regarding the named i-muc gene, a diet effect was not statistically significant for this exclusive fish gene that was mostly expressed in the posterior intestine of GSB. D2 induced a significant down-regulation of il8 in anterior intestine, and both D2 and D3 diets down-regulated the expression of cd4 and lgals8 in the anterior intestine segment. D3 diet did not modify significantly the expression of membrane and secreted IgM isoforms, although this diet significantly increased the expression of the membrane IgT (mIgT) in posterior intestine.

Globally across the intestine, the dietary-mediated effects affected the expression of 15 out of the 35 genes studied (43%). The heatmap in Fig. 3 was constructed with the expression values of those differentially regulated genes in order to obtain a visual overview of the changes. Fish fed D2 diet revealed an overall down-regulation of genes related to intestinal integrity (cdh1) and energy sensing (sirt1-3) mainly affecting the anterior intestine. Fish fed D3 diet showed more prominent effects on posterior intestine with up-regulation of genes related to immune response (IgT, il6).

Effects of experimental diets on genes related to intestinal architecture, absorption and immune response.

Figure 3: Effects of experimental diets on genes related to intestinal architecture, absorption and immune response.

Hierarchical heatmap of fold-changes (experimental group (D2, D3) vs. control (D1)) for differentially expressed genes in at least one of the intestinal sections. AI, anterior intestine; PI, posterior intestine.

Discussion

Evidence in mammals indicates that the metabolic utilization of ingested nutrients determines satiety and feeding behavior (Scharrer & Langhans, 1986). Since MCFAs can enter directly in the portal vein and their transport across the mitochondrial membrane does not require carnitine palmitoyltransferase-1, their final tissue uptake and oxidation is accelerated, acting as satiety factors. Hence, in comparison to long-chain triglycerides, preloading of oral emulsions of medium-chain triglycerides decreased feed intake in rats (Ooyama et al., 2009). High dietary inclusion levels of medium-chain triglycerides (15–30%) also decreased feed intake in polka-dot grouper (Cromileptes altivelis) (Williams et al., 2006), and a strong inverse relationship between dietary medium-chain triglycerides (0.4–15%) and feed intake was found in Atlantic salmon (Salmo salar) (Nordrum et al., 2003). By contrast, feed intake was not affected by medium-chain triglyceride supplementation (5–15%) in sunshine bass (female white bass Morone chrysops × male striped bass Morone saxatilis) (Trushenski, 2009) and rainbow trout (Oncorhynchus mykiss) (Figueiredo-Silva et al., 2012), which indicates that other factors, besides metabolic fuel availability, regulate feed intake in fish. Indeed, our results showed that dietary supplementation with MCFAs in the form of a sodium salt of coconut fatty acid distillate (D2 diet) was able to enhance the overall feed intake and growth rates of GSB with no signs of histopathological damage in liver and intestine tissues. This growth-promoting action was supported by histological and gene expression data at the intestine level (see below) and by a slight, although non-significant, increase of the circulating IGF/GH quotient, which can be viewed as an increased liver GH-responsiveness to the anabolic action of GH. This agrees with the observation that dietary medium-chain triglycerides act in young and growing pigs via stimulation of somatotropic endocrine pathways, minimizing weaning-associated disorders such as slow growth and diarrhea (Miller et al., 2016). Other potential benefits could be mediated by changes in the intestinal microbiota (Lai et al., 2014), although the therapeutic potential of MCFAs and their potential benefits on feed intake and key performance indicators seems to be highly dependent on the intake dose and age of piglets (Lai et al., 2014: Zhang et al., 2016). In this regard, it is noteworthy that the gene expression of several sirtuins was down-regulated in the anterior intestine of fish fed D2 or D3 diets. Since sirtuins are NAD+-dependent deacetylases that act as energy sensors, it can be argued that both D2 and D3 diets regulate energy metabolism at the intestinal local level by means of epigenetic-related mechanisms. Recently, the tissue-specific regulation of the seven mammalian sirtuin counterparts of GSB has been described (Simó-Mirabet et al., 2017). The present study provides further evidence for a functional regulation of sirtuins at intestinal level in farmed fish, which can be viewed as a consequence of a reduced energy demand in fish with an increased feed intake (D2 diet) or as a part of an adaptive hypo-metabolic conditioning (D3 diet) in fish with a slight reduction of feed intake.

Absorption of lipids occurs mostly in the first segments of fish intestines, where bile salts are secreted to hydrolyze triglycerides to free fatty-acids and glycerol (Sundell & Rønnestad, 2011) resembling mammalian small intestines. In accordance, expression of fabp6, involved in reabsorption of bile acids and exclusively expressed in mammalian ileums (Besnard et al., 2002), can only be found in the posterior intestinal segment of GSB and other fish species (Alves-Costa et al., 2008; Pérez-Sánchez et al., 2015; Calduch-Giner, Sitjà-Bobadilla & Pérez-Sánchez 2016). FABP2, involved in regulation of the intracellular concentration of free fatty acids, preferentially binds long-chain fatty acids (LCFAs) (Lowe et al., 1987), but can also bind MCFAs (Huang et al., 2002). Several studies in mammals associated FABP2 expression or genetic variants to insulin resistance and type 2 diabetes in individuals fed different sources of MCFAs or LCFAs (Rubin et al., 2012). Our results show a clear up-regulation of fabp2 and an increase in plasma glucose levels upon MCFA intake (D2 diet). In agreement with the current results, rainbow trout fed high levels of coconut oil also showed increased plasma glucose levels (Figueiredo-Silva et al., 2012). Thus, there is a clear relationship among lipid source, fabp2 expression and glucose tolerance both in mammals and teleost fish, and the underlying mechanisms deserve further study.

In our study, additional changes associated to coconut oil supplementation are the increase in intestinal complexity and gene expression of alpi in anterior intestine, which are related to intestinal architecture and nutrient absorption. In fish, a decrease in Alpi activity has been linked to malnutrition (Bakke-McKellep et al., 2000; Ducasse-Cabanot et al., 2007). Conversely, unchanged Alpi activity or gene expression levels in intestine were related with good growth performance values (Estensoro et al., 2016). In the current study, MCFAs (D2 diet) increased alpi gene expression which, together with the increased complexity of intestinal folds in the main absorptive intestinal segment, can be directly related to the increased intake and growth performance of this dietary group. Moreover, the intestine of D2 fed fish was shorter than that of the other two experimental groups. This trend was also found when comparing carnivorous with omnivores and herbivorous fish, since the total intestinal surface required for the absorption of nutrients is directly linked to digestive efficiency, increasing gut length allometrically with the body length (Karachle & Stergiou, 2010).

A recent study performed in mice also showed that MCFA addition to fish oil formulations is able to induce an anti-inflammatory profile, decreasing the host response to inflammatory challenge (Carlson et al., 2015). In view of these results, MCFA supplementation has been proposed as a candidate to formulate optimized diets to be used as therapeutic intervention for diseases derived from chronic inflammation. Coconut oil as a source of MCFA in GSB (D2 diet) induced no significant changes in serum lysozyme, complement activity, IgM levels or respiratory burst of stimulated blood leukocytes. However, significant down-regulation of cd4, il8 and lgals8 was observed in the intestine, hinting to some anti-inflammatory effects on GSB intestinal immunity. By contrast, an increase in eosinophilic granulocytes, particularly in mast cells, was observed in these intestines. Nonetheless, the lack of any prototypical pro-inflammatory signal, such as tnf α or il1 β up-regulation, suggests that these cells have been recruited and reside inactive in the intestinal submucosa as a kind of surveillance machinery ready to be activated in case of threat. Although in the present study no challenge was performed to evaluate the readiness of the immune system of GSB upon pathogen exposure, there is evidence that coconut oil supplementation can increase survival of catfish upon Aeromonas hydrophila challenge (Vargas et al., 2013).

Probiotics modulate the gastrointestinal microbial communities having diverse effects, such as inhibition or suppression of pathogen growth, improvement of stress tolerance, stimulation of growth or modulation of the host immune status (Balcázar et al., 2006; Wang, Li & Lin, 2008). Accordingly, oral administration of B. amyloliquefaciens in mice showed a protective effect against Clostridium difficile and has been proposed to be used in humans (Geeraerts et al., 2015). It also showed alleviating effects on immune stress induced by lipopolysaccharide (LPS) challenge in broilers, by ameliorating the growth performance and inducing an anti-inflammatory shift down-regulating pro-inflammatory gene expression and increasing IL10 expression (Li et al., 2015). Its use in aquaculture has also been proposed, and B. amyloliquefaciens showed potential to control vibriosis in turbot (Scophthalmus maxima) (Chen et al., 2016a) and other fish pathogens (Chen et al., 2016b). The present study does not deal with any pathological challenge, but aims to define the effect of this probiotic administration on the basal health of GSB in order to assess their readiness to face a threat. In addition, the Bacillus-based probiotic-supplemented diet (D3) did not induce negative effects on the growth performance of GSB. Likewise, beneficial effects upon infection, but no interference with growth, have been documented in similar trials with different Bacillus species in Nile tilapia (Aly, Mohamed & John, 2008) and rainbow trout (Raida et al., 2003). Many studies have demonstrated the beneficial effects of B. amyloliquefaciens on broiler performance parameters (Sánchez et al., 2006; Mallo et al., 2010), but in some cases, probiotics supplementation might not affect growth parameters, and a protective effect on growth can only be observed upon challenge (Li et al., 2015).

Our results with fast growing juveniles of GSB also showed clear interesting outcomes of the Bacillus-based probiotic (D3 diet) on intestinal architecture and mucus production. Anterior intestine showed higher intestinal folds in agreement with the results obtained in Nile tilapia fed the same probiotic bacteria (Silva et al., 2015). In addition, D3 diet correlated with low numbers of goblet cells and down-regulation of the expression of the transmembrane muc13, a major enterocyte component of GSB (Pérez-Sánchez et al., 2013). It must be argued that muc13 does not contribute significantly to the extended glycocalyx of GSB when the mucin secretion from goblet cells remains high. Otherwise, studies on Muc13-/- mice suggest that this mucin has an anti-inflammatory function and anti-apoptotic effects in epithelial cells (Sheng et al., 2011; Sheng et al., 2013). In this regard, in our experimental model, the down-regulation of muc13 could be viewed as a consequence rather than a cause of an overall anti-inflammatory status, which comprised a decrease in lgals8 and cd4 transcripts in anterior intestine, a lower respiratory burst activity of blood leukocytes, lower amounts of circulating IgM and cortisol, and lower numbers of eosinophilic granulocytes, in particular mast cells, in the intestinal submucosa.

The anti-inflammatory effects of B. amyloliquefaciens as a probiotic have been already reported in birds and mammals. This probiotic ameliorated the damage caused by inflammation in dextran sulphate sodium (DSS)-induced colitis in mice (Hairul Islam et al., 2011) and LPS-induced stress in broilers (Li et al., 2015) by down-regulating expression of pro-inflammatory cytokines such as TNF α, IL1 β and IL2 and up-regulating the anti-inflammatory cytokine IL10 upon exacerbated inflammation. In addition, a decrease in neutrophil myeloperoxidase and an increase in antioxidant molecules (superoxide dismutase and catalase) was observed (Hairul Islam et al., 2011). In the present study, superoxide dismutase and catalase were not measured, but the observed decrease in oxidative radicals measured with the respiratory burst assay indirectly reflects this anti-oxidant effect. A similar decrease in respiratory burst was observed in European sea bass fed a different probiotic, which also induced an anti-oxidant status (Guardiola et al., 2016). Opposite to the decrease in circulating levels of IgM, a significant up-regulation of mIgT expression was observed in posterior intestine. IgT is the key mucosal immunoglobulin in teleosts (Zhang et al., 2010) and the importance of its fine regulation upon infection in GSB intestines has been recently described (Piazzon et al., 2016). The presence of higher number of mIgT transcripts can be related to higher numbers of IgT+ B cells. The availability of this larger pool of IgT+ B cells can be critical upon infection or any other threat, as these cells are already in the local environment ready to be activated and exert their function as effector cells. In fact, when the transcription of IgT in GSB intestines is impaired, as it happens when fish are fed diets with high plant ingredient substitution, the disease outcome upon parasitic infection is worse (Piazzon et al., 2016). The results of the current study with B. amyloliquefaciens CECT 5940 supplementation as a probiotic (D3 diet) point to a fine-tuning of the mucosal immunity by increasing the number of resident mucosal related IgT+ B cells to improve the surveillance mechanisms in the posterior intestine, where intestinal immune responses mainly take place.

Conclusions

Altogether, we observed differential beneficial effects induced by these dietary supplements that are related to their different nature. MCFAs induced positive effects on GSB growth and intestinal architecture mainly affecting the anterior intestinal segment where absorption mostly takes place. Conversely, B. amyloliquefaciens CECT 5940 supplementation had key effects in the regulation of the immune status inducing anti-inflammatory and anti-oxidant effects that can potentially be advantageous upon infection or stressful situations. Separately, the two additives showed interesting effects posing a promising way to improve health and disease resistance in aquaculture.

Supplemental Information

Forward and reverse primers used for real-time qPCR

DOI: 10.7717/peerj.4001/supp-1