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DL-methionyl-DL-methionine as an efficient methionine source for promoting zootechnical performance and methionine-related pathways in the whiteleg shrimp (Penaeus vannamei)

Published online by Cambridge University Press:  11 January 2023

Marina Machado*
Affiliation:
Centro Interdisciplinar de Investigação Marinha e Ambiental (CIIMAR), Universidade do Porto, Terminal de Cruzeiros do Porto de Leixões, Avenida General Norton de Matos s/n, 4450-208, Matosinhos, Portugal
Sergio Fernández-Boo
Affiliation:
Centro Interdisciplinar de Investigação Marinha e Ambiental (CIIMAR), Universidade do Porto, Terminal de Cruzeiros do Porto de Leixões, Avenida General Norton de Matos s/n, 4450-208, Matosinhos, Portugal
Carla Teixeira
Affiliation:
Centro Interdisciplinar de Investigação Marinha e Ambiental (CIIMAR), Universidade do Porto, Terminal de Cruzeiros do Porto de Leixões, Avenida General Norton de Matos s/n, 4450-208, Matosinhos, Portugal Instituto de Ciências Biomédicas Abel Salazar (ICBAS-UP), Universidade do Porto, Rua de Jorge Viterbo Ferreira 228, 4050-123, Porto, Portugal
Michael Viegas
Affiliation:
SPAROS Lda., Área Empresarial de Marim, Lote C, Olhão, Portugal
Renata Serradeiro
Affiliation:
RIASEARCH Lda, Cais da Ribeira de Pardelhas 21, Murtosa, Portugal
Jorge Dias
Affiliation:
SPAROS Lda., Área Empresarial de Marim, Lote C, Olhão, Portugal
Benjamín Costas Refojos
Affiliation:
Centro Interdisciplinar de Investigação Marinha e Ambiental (CIIMAR), Universidade do Porto, Terminal de Cruzeiros do Porto de Leixões, Avenida General Norton de Matos s/n, 4450-208, Matosinhos, Portugal Instituto de Ciências Biomédicas Abel Salazar (ICBAS-UP), Universidade do Porto, Rua de Jorge Viterbo Ferreira 228, 4050-123, Porto, Portugal
Karthik Masagounder
Affiliation:
Evonik Operations GmbH, Rodenbacher Chaussee 4, 63457 Hanau-Wolfgang, Germany
*
*Corresponding author: Marina Machado, email mcasimiro@ciimar.up.pt
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Abstract

Methionine (MET) supplementation is a current strategy to achieve shrimp requirement. Notwithstanding, the efficiency of the precisely formulated feeds can be diminished since shrimps are slow eaters and masticate feed externally that results in nutrient leaching. In this regard, a methionine dipeptide (DL-methionyl DL-methionine) benefits the feed industry by reducing MET water solubility while increasing its bioavailability. Therefore, the effects of feeding whiteleg shrimp (Penaeus vannamei) with increasing levels of methionine dipeptide were evaluated on zootechnical performance and methionine-, immune- and antioxidant-related pathways. A 74 d growth trial was conducted by feeding a control diet and four diets supplemented with AQUAVI® Met-Met at 0·08, 0·12, 0·24 and 0·32% of DM. Diet digestibility, body amino acids (AA) composition and nitrogen metabolites, metabolic enzymes, oxidative status and gene expression were evaluated. It can be concluded that graded dietary increase of methionine dipeptide up to 0·24 % for 74 d translated in significant gains on the growth performance, feed efficiency, nutrient and nitrogen gain and shrimp survival. Moreover, it was showed that Met-Met dietary spare leads to an improvement of free-AA pool and nitrogen metabolites concentration and reduces the signs of oxidative stress. Finally, in a closer look to the MET-related pathways passive to be altered by Met-Met spare, a clear modulation of the described antioxidant and cell proliferation routes was detected.

Type
Research Article
Copyright
© Interdisciplinary Centre of Marine and Environmental Research of the University of Porto, 2023. Published by Cambridge University Press on behalf of The Nutrition Society

Ten amino acids (AA) have been defined as essential for aquatic species(1) since their dietary deficiency may lead to a reduction of growth and feed efficiency. However, the need for the introduction of increasing amounts of plant protein sources in aquafeeds(2), together with the need of high dietary protein levels in of some species(Reference Lee and Lee3), raised up the scenario of dietary deficiency of specific AA(Reference Goff and Gatlin4). Even though the relatively high protein content of some plant ingredients, such as soyabean, wheat gluten, corn gluten and others, usually present low content of methionine. Methionine is in fact one of the first-limiting essential AA in plant protein-based diets(Reference Goff and Gatlin4), and its supplementation is a current strategy to achieve shrimp methionine requirement (i.e. about 0·7 to 0·9 % of the diet)(1). An additional problematic is raised by the fact that the requirements of some AA appear to increase in plant-based diets, since feed intake and protein utilisation may be reduced(Reference Kaushik, Cravedi and Lalles5). In fact, Xie, Lemme(Reference Xie, Lemme and He6) showed the ability of DL-methionine dietary supplementation (0·1 to 0·3 % of the diet) in low-fish meal diets to improve growth performance (final body weight, weight gain and specific growth rate) of whiteleg shrimp (Penaeus vannamei).

Additionally, most AA requirements were established by means of optimal growth which overlooks the animal needs of certain functional AA associated with immune responses, oxidative stress response and health, leading to an underestimation of the true AA requirement(Reference Li, Mai, Trushenski and Wu7). Indeed, methionine is also a key player in the biosynthesis of vital molecules for immune-related cellular functions and works as a precursor of key hormones and enzymes(Reference Le Floc’h, Melchior and Obled8Reference Williams and Schalinske16). Briefly, as a precursor of S-adenosylmethionine (SAM), the universal methyl donor, methionine participates in the regulation of cell functioning (e.g. polyamine biosynthesis, bioactive amines, DNA methylation and apoptosis)(Reference Laxman, Sutter and Tu12,Reference Igarashi and Kashiwagi17Reference Sutter Benjamin, Wu and Laxman19) and antioxidant system (e.g. precursor of GSH and inactivation of reactive oxygen species by methionine residues)(Reference Grimble and Grimble11,Reference Luo and Levine20,Reference Levine, Berlett and Moskovitz21) . The immune system is in fact highly dependent of the proper supply of specific AA(Reference Li, Yin and Li22). Dietary methionine surplus has showed to improve the immune status of poultry(Reference Wu, Cui and Peng23,Reference Bunchasak24) and fish(Reference Azeredo, Machado and Guardiola25Reference Machado, Moura and Peixoto29). Moreover, Machado, Engrola(Reference Machado, Engrola and Colen28) suggested that methionine requirements could be increased in the context of an extreme diet formulation (100 % plant ingredients) compared with a practical fish meal diet (32 % plant ingredients incorporation), since a clear impact on the immune status of a European seabass (Dicentrarchus labrax) was observed. These works put into evidence that methionine dietary surplus above the established requirements may be key for the development of a stronger immune response in a practical feed formulation scenario and confirms the presuppose that the requirement of specific AA increases in the event of infection or even inflammation(Reference Le Floc’h, Melchior and Obled8). However, there is a current lack of studies reporting the effects of dietary methionine surplus on shrimp immune and antioxidant responses.

In addition to the need of balancing dietary methionine levels, shrimps are slow eaters and masticate feed externally, which results in nutrient loss by leaching due to the prolonged time of feed under water. Also, Richard, Blanc(Reference Richard, Blanc and Rigolet30) hypothesised that the supplemented AA may be partially excreted through shrimp gills. Such events reduce the efficiency of the precisely formulated feeds, by reducing the effective use of the supplemented AA(Reference Dabrowski, Zhang and Kwasek31). This problematic is recognised for some time and has been effectively surpassed by the use of a dipeptide DL-methionyl-DL-methionine (Met-Met) developed by Evonik (commercialised under the name AQUAVI® Met-Met). This dipeptide presents reduced water solubility, and both fish and crustaceans were able digest Met-Met to free D- and L-methionine in vitro (data from Evonik’s aqua R&D group). Also, Ji, Wang(Reference Ji, Wang and He32) pointed to Met-Met ability to improve the negative outcome of methionine dietary deficiency reducing its impact on growth in a low-fish meal scenario.

In whiteleg shrimp, Met-Met dietary incorporation and supplementation as a strategy to surpass the lower methionine content of plant ingredients resulted in a higher bioavailability, based on growth and feed efficiency, when compared with its common alternative, the feed grade DL-methionine(Reference Niu, Lemme and He33). With that results in mind, the present study intended to evaluate the effects of Met-Met supplementation on growth performance, whole-body composition, nutrient retention, apparent digestibility and methionine immune and antioxidant-related pathways.

Material and methods

Experimental diets

To evaluate the effects of Met-Met dietary supplementation and dietary Met levels, five diets were formulated. The negative control diet (NC) was formulated to contain 0·56 % Met (DM basis) using high levels of soyabean meal (26 %) and wheat (36%), and moderate levels of fishmeal (7 %) and poultry meal (2·8 %). Krill meal was used at a low level (2%) to guarantee feed palatability. NC was also supplemented with essential amino acids (i.e. lysine, threonine and tryptophan) and monocalcium phosphate to avoid any nutritional deficiencies. This basal NC formulation served as basis for the remaining four diets, which were supplemented with the AQUAVI® Met-Met (Met-Met) at 0·08, 0·12, 0·24 and 0·32 %. Feed formulation is presented in Table 1. All diets were formulated to be isonitrogenous (crude protein: 36 % DM), isolipidic (crude lipid: 8·7 % DM) and isoenergetic (gross energy: 19·8 MJ/kg DM). Diets NC and Met-Met 0·32% were also supplemented with 1 % chromic oxide as an inert marker for digestibility measurements.

Table 1. Formulation of the experimental diets

* Fishmeal: 59·6 % crude protein (CP), 8·9% crude fat (CF), CONRESA, Spain.

Krill meal: 65% CP, 14% CF, Aker Biomarine, Norway.

Poutry meal 65:64·6% CP, 11·6% CF, SAVINOR UTS, Portugal.

§ Soycomil P: 64·5% CP, 0·7% CF, ADM, The Netherlands.

|| Solvent extracted soybean meal: 44·6% CP, 3·3% CF, Cargill, Spain.

Wheat: 10·2% CP, 1·2% CF, Casa Lanchinha, Portugal.

** Wheat bran: 14·9% CP, 4·2% CF, Casa Lanchinha, Portugal.

†† Sopropêche, France.

‡‡ Henry Lamotte Oils GmbH, Germany.

§§ Lecico P700IPM, LECICO GmbH, Germany.

|||| MCP (monocalcium phosphate): 22% P, 18% Ca, Fosfitalia, Italy.

¶¶ Seah International, France.

*** Biolys: 54·6% Lysine, Evonik Nutrition & Care GmbH, Germany.

††† ThreAMINO: 98·5% Threonine, Evonik Nutrition & Care GmbH, Germany.

‡‡‡ TrypAMINO: 98% Tryptophan, Evonik Nutrition & Care GmbH, Germany.

§§§ PREMIX Lda, Portugal: Vitamins (μg or mg/kg diet): DL-α tocopherol acetate, 100 mg; sodium menadione bisulphate, 25 mg; retinyl acetate, 20 000 μg; DL-cholecalciferol, 2000 μg; thiamine, 30 mg; riboflavin, 30 mg; pyridoxine, 20 mg; cyanocobalamin, 0·1 mg; nicotinic acid, 200 mg; folic acid, 15 mg; ascorbic acid, 500 mg; inositol, 500 mg; biotin, 3 mg; calcium pantothenate, 100 mg; choline chloride, 1000 mg, betaine, 500 mg. Minerals (g or mg/kg diet): copper sulphate, 9 mg; ferric sulphate, 6 mg; potassium iodide, 0·5 mg; manganese oxide, 9·6 mg; sodium selenite, 0·01 mg; zinc sulphate,7·5 mg; sodium chloride, 400 mg; excipient wheat middling’s.

|||||| AQUAVI® Met-Met, Evonik’s aqua R&D, Evonik Industries AG.

Diets were manufactured by extrusion at Sparos Lda (Olhão) facilities. All powder ingredients, including AQUAVI® Met-Met, were mixed accordingly to the target formulation in a double-helix mixer (model 500L, TGC Extrusion) and ground (below 400 µm) in a micropulveriser hammer mill (model SH1, Hosokawa-Alpine). Diets (pellet size: 1·2 and 2·0 mm) were manufactured with a twin-screw extruder (model BC45, Clextral) with a screw diameter of 55·5 mm. Extrusion conditions: feeder rate (90 kg/h), screw speed (255 rpm), water addition in barrel 1 (340 ml/min), temperature barrel 1 (36°C) and temperature barrel 3 (116–118°C). Extruded pellets were dried in a vibrating fluid bed dryer (model DR100, TGC Extrusion). After cooling, oils were added by vacuum coating (model PG-10VCLAB, Dinnissen). Coating conditions were pressure (700 mbar), spraying time under vacuum (approximately 90 s) and return to atmospheric pressure (120 s). After coating, diets were packed in sealed plastic buckets stored at room temperature.

Trials design

Two trials were conducted at the experimental facilities of Riasearch (Murtosa) under the full responsibility of Sparos Lda. Experiments were conducted by FELASA certified scientists and technical staff, in full compliance with the European (Directive 2010/63/EU) and Portuguese (Decreto-Lei nº. 113/2013, 7 August) legislation on the protection of animals for scientific purposes.

Whiteleg shrimp were obtained from Shrimp Improvement Systems, LLC, and a stock of post-larvae shrimp (±30 000 individuals) were transferred to the experimental facilities by a duly authorised carrier and kept on sanitary quarantine for 2 weeks. No pathological signs were observed in association to transport. Prior to start of the trial, the shrimp stock was kept in four 500 l tanks supplied with recirculated seawater (salinity 20 ‰, water flow 2·3 l/min, temperature 26 ± 1°C, dissolved oxygen kept above 6 mg/l) for approximately 2 months. During this period, shrimp were fed a commercial diet for marine fish larvae (WinFlat, Sparos Lda). Shrimp post-larvae were fed continuously (hourly meals) with automatic feeders at approximately 12 % biomass/d. Prior to the start of the trials, shrimp were manually sorted to constitute a sub-stock with a homogenous weight range.

Growth trial

After the quarantine period, quintuplicate groups of 150 shrimp with a mean initial body weight of 1·72 ± 0·11 g (mean ± sd) were fed one of the five experimental diets during 74 d. Shrimp were grown in plastic circular tanks (volume: 500 l) supplied with recirculated seawater. Temperature was regulated at 27·9 ± 0·5°C (mean ± sd), salinity and pH maintained at ∼ 20 ‰ and ∼7·7, respectively. Dissolved oxygen levels were kept above 5·9 mg/l and total ammonia levels below 0·25 mg/l. During the trial, shrimp were subjected to a photoperiod regime of 16 h light and 8 h dark. Shrimp were fed manually during the day, in four meals (08.00, 10.00, 14.00 and 18.00 h) and by automated feeders during the night, in two meals (22·00, 04.00 h). Daily feed ration was based on a commercial feeding table for shrimp. However, to avoid feed wastage, the feed ration per tank was adjusted on a daily basis, taking into account any feed residues present in the tank at the first morning meal. For this purpose, if all pellets were eaten, the feed ration was increased by 0·2 %; if < 5 pellets remained in the tank, the ration was maintained; if > 5 pellets remained in the tank, the feed ration was decreased by 0·2 %. Shrimp were group weighed after 30, 57 and 74 d of feeding.

A pool of fifty whole shrimp from the initial stock, at the start of the trial, and a pool of ten whole shrimp per tank at the end of the trial (74 d) were sampled and stored at –20°C for subsequent analysis of whole-body moisture, ash, protein, fat, energy and amino acids content. Also, at the end of the trial, a pool of three shrimps per tank (n 5 pools per dietary treatment) were used to collect samples of haemolymph, hepatopancreas and muscle. All shrimp sampled were at the molting stage D1. Haemolymph was withdrawn from the ventral sinus into a 1 ml disposable syringe containing 1:1 proportion of an anticoagulant buffer (27 mM sodium citrate, 385 mM NaCl, 115 mM glucose; pH 7·5). Samples were put into tubes, snap-frozen in liquid nitrogen and stored at −80°C until subsequent analysis of several additional humoral parameters. Samples of hepatopancreas were also preserved in RNA Later, snap-frozen in liquid nitrogen and stored at −80°C for subsequent gene expression analysis.

Digestibility trial

In parallel to the growth performance trial, triplicate groups of twenty-five shrimp, with a mean initial body weight of 10·2 ± 1·1 g were used to measure the apparent digestibility of protein, lipid, energy and amino acids, by the indirect method with diets containing 1 % chromic oxide as an inert marker. The apparent digestibility measurements were only performed on dietary treatments NC and Met-Met 0·32 %. Prior to initiation of faeces collection, shrimp were fed the chromic oxide marked diets for 12 d, under identical rearing conditions as those adopted for the growth performance trial. Approximately 2 h following the first morning meal and after the removal of all uneaten feed pellets, excreted faeces were collected by siphoning. After decanting and removal of excess water, faeces per replicate tank were stored frozen at −20°C. The collection of faeces per replicate tank lasted for 15 d, and daily collection of faeces from the same replicate was pooled and stored frozen at −20°C until subsequent analysis.

Analytic methods

Biochemical composition of feeds, whole-fish and faeces

Representative samples of each diet were taken for proximate and AA profile analyses (Table 2). Proximate analysis of diets, whole-fish and faeces followed the methodology described by AOAC(34). Dry matter was measured after drying at 105°C for 24 h; total ash evaluated by combustion (550°C during 6 h) in a muffle furnace (Nabertherm L9/11/B170); crude lipid by petroleum ether extraction (40–60°C) using a Soxtec™ 2055 Fat Extraction System (Foss, Denmark), with prior acid hydrolysis with 8·3 M HCl; gross energy in an adiabatic bomb calorimeter (Werke C2000, IKA); chromium was determined by spectrometry (SpectrAA 220 FS, Varian) according to Bolin, King(Reference Bolin, King and Klosterman35), after perchloric acid digestion. All analysis of protein and amino acids were performed by EVONIK by HPLC methodology.

Table 2. Proximate composition and amino acids content of the experimental diets

Growth performance

During the growth trial shrimp were group weighed after 30, 57 and 74 d of feeding with the experimental diets and growth performance was evaluated.

IBW (g): Initial mean body weight.

Final mean body weight (FBW) (g): Final mean body weight.

Specific growth rate, SGR (%/d): (Ln FBW–Ln IBW) × 100/d.

Weight gain, WG (g): final mean biomass–initial mean +(dead body weight–(number of dead × IBW))

Feed conversion ratio, FCR: crude feed intake/weight gain.

Feed intake, FI (%BW/d): (crude feed intake/(IBW + FBW)/2/d) × 100.

Protein efficiency ratio, PER: wet weight gain/crude protein intake.

$${\rm{Retention\;}}\left( {\rm{\% }} \right){\rm{ = 100\;}} \times \,{{\left( {{\rm{FBW\;}} \times \,{\rm{NFS}}} \right) - {\rm{(IBW\;}} \times \,{\rm{NIS)}}} \over {{\rm{Nutrient\;intake}}}}$$

NFS: Nutrient content of final shrimp

NIS: Nutrient content of initial shrimp

Apparent digestibility coefficients

The apparent digestibility of protein, lipid, energy and amino acids was evaluated in the digestibility trial by the indirect method with diets containing 1 % of chromic oxide as an inert marker in NC and Met-Met 0·32% dietary treatments. Apparent digestibility coefficients (ADC) of dietary nutrients and energy in the experimental diets were calculated according to NRC (2011) (1):

$${\rm{ADC,\;\% = 100}} \times \,{{{\rm{\% \;marker\;diet}}} \over {{\rm{\% \;marker\;faeces}}}} \times {{{\rm{\% \;nutrient\;faeces}}} \over {{\rm{\% \;nutrient\;diet}}}}$$

Daily N gain: (final body N content–initial body N content)/(IBW + FBW)/2)/d.

Daily N intake: N intake/(IBW + FBW)/2)/d.

Daily faecal N losses: daily N intake × (100–ADC N)/100.

Daily metabolic N losses: daily N intake–(daily N gain + daily faecal N losses).

Free amino acids and nitrogen-related metabolites

Hepatopancreas samples (three shrimps per pool, five pools per treatment) were firstly homogenised (0·1 M HCl, on ice) and then the supernatant (obtained after centrifugation at 1500 × g , 15 min, 4°C) was deproteinised by centrifugal ultrafiltration (10 kDa cut-off, 2500 × g , 20 min, 4°C). Samples were then pre-column derivatised with Waters AccQ Fluor Reagent (6-aminoquinolyl-N-hydroxysuccinimidyl carbamate) using the AccQ Tag method (Waters). Analyses were done by ultra-high-performance liquid chromatography in a Waters reversed-phase amino acid analysis system, using norvaline as an internal standard. The resultant peaks were analysed with EMPOWER software (Waters).

Enzyme activities

The activity of several enzymes was measured in samples (three shrimp per pool, five pools per treatment) of haemolymph, muscle and hepatopancreas by enzymatic colorimetric and fluorometric methods using commercially available kits.

Tissue samples were placed into a sterile 2 ml round-bottom tube containing 0·1M phosphate buffer and an appropriate size and number of stainless-steel beads. Samples were mechanically disrupted using a Tissue Lyser II (Qiagen) for 3 × 15 s at 30 Hz, followed by centrifugation at 14 000 × g for 10 min. The supernatant was removed and placed in a sterile 1·5 mL Eppendorf tube for subsequent enzyme analysis. Soluble protein concentration of tissue samples was determined using the Micro BCA™ Protein Assay Kit (ThermoScientific Ref. 23235), with bovine serum albumin used as a standard. Amount of protein is expressed as mg of soluble protein.

For muscle, hepatopancreas and haemolymph, alanine aminotransferase (ALT) activity was determined using the GPT/ALT Kit (Spinreact, Ref. 41280). ALT catalyses the reversible transfer of an amino group from alanine to α-ketoglutarate forming glutamate and pyruvate. The pyruvate produced is reduced to lactate-by-lactate dehydrogenase and NADH. The rate of decrease in concentration of NADH, measured photometrically, is proportional to the catalytic concentration of ALT present in the sample. Enzyme activity is expressed as U/L.mg protein. One unit (U) is the amount of enzyme that transforms 1 μmol of substrate per minute, in standard conditions.

For all three tissues, aspartate aminotransferase (AST) activity was determined using the GOT/AST Kit (Spinreact, Ref. 41273). AST catalyses the reversible transfer of aspartate to α-ketoglutarate forming glutamate and oxalacetate. The oxalacetate produced is reduced to malate-by-malate dehydrogenase and NADH. The rate of decrease in concentration of NADH, measured photometrically, is proportional to the catalytic concentration of AST present in the sample. Enzyme activity is expressed as U/L.mg protein. One unit (U) is the amount of enzyme that transforms 1 μmol of substrate per minute, in standard conditions.

Superoxide dismutase (EC 1·15·1·1) activity in homogenised hepatopancreas and muscle samples was measured by the ferricytochrome C method using xanthine/xanthine oxidase as the source of superoxide radicals. The reaction was monitored at 550 nm according to McCord and Fridovich (1969). Reaction mixture consisted of 50 mM potassium phosphate buffer (pH 7·8), 0·1 mM EDTA, 0·1 mM xanthine, 0·012 mM cytochrome C and 0·025 μg/ml xanthine oxidase. Activity is reported in units of superoxide dismutase per mg of protein. One unit of activity was defined as the amount of enzyme necessary to produce a 50 % inhibition of the ferricytochrome C reduction rate.

Catalase (EC 1·11·1·6) activity in homogenised muscle and hepatopancreas samples was determined by measuring the decrease of hydrogen peroxide concentration at 240 nm according to Aebi (1984). Reaction mixture contained 50 mM potassium phosphate buffer (pH 7·0) and 10 mM H2O2 freshly added. Enzyme activity is expressed as units per mg of soluble protein (U/mg). One unit of enzyme activity was defined as the amount of enzyme required to transform 1 μmol of substrate per min under the above assay conditions. Soluble protein concentration of tissue samples was determined using the Micro BCA™ Protein Assay Kit (ThermoScientific Ref. 23235), with bovine serum albumin used as a standard. Amount of protein is expressed as mg of soluble protein.

Oxidation status

The protein carbonyl content of homogenised muscle and hepatopancreas samples (three shrimp per pool, five pools per treatment) was determined using the Protein Carbonyl Content Assay Kit (Sigma-Aldrich, Ref. MAK094).

Carbonyl content was determined by the derivatisation of protein carbonyl groups with 2,4-dinitrophenylhydrazine leading to the formation of stable dinitrophenyl hydrazone adducts, which can be detected spectrophotometrically at 375 nm, proportional to the carbonyls present. Protein carbonyl content is expressed as nmole carbonyl/mg protein.

Lipid peroxidation in muscle and hepatopancreas samples was determined by assessing the concentration of thiobarbituric acid reacting substances, according to the method of Buege and Aust (1978). An aliquot of the supernatant from the homogenate (100 μl) was mixed with 500 μl of a previously prepared solution containing 15 % (w/v) TCA, 0·375 % (w/v) thiobarbituric acid, 80 % (v/v) hydrochloric acid 0·25 N and 0·01 % (w/v) butylated hydroxytoluene. The mixture was heated to 100°C for 15 min and after cooling at room temperature and centrifuged at 1500 × g for 10 min. Absorbance in the supernatant was measured at 535 nm and compared with blank. Concentration was expressed as nanomole malondialdehyde/g of hepatopancreas, calculated from a calibration curve. Total glutathione (GSH and GSSG) was measured in hepatopancreas following the method described by Griffith (1980) and Vandeputte et al. (1994) with modifications.

Total glutathione analyses were carried out at 37°C, and changes in absorbance due to reduction of 5,5′-dithiobis (2-nitrobenzoic acid) (Sigma) were monitored at 412 nm in a Multiskan GO microplate reader. The molar extinction coefficient used for 5,5′-dithiobis (2-nitrobenzoic acid) was 13 600 M−1 × cm−1. Total GSH was determined using a reaction mixture containing 133 mM-phosphate buffer with 5·8 mM-EDTA at pH 7·4 (Sigma), 0·71 mM 5,5′-dithiobis (2-nitrobenzoic acid), 0·24 mM-NADPH (Sigma) and 1·2 μg/ml GR (Sigma). Total GSH is expressed as uM glutathione/mg protein.

Gene expression analysis

Total RNA isolation from hepatopancreas (three shrimp per pool, five pools per treatment) was conducted with NZY Total RNA Isolation kit (NZYTech, Portugal) following manufacturer’s specifications and resuspended in free nuclease water (Nzytech, Portugal). RNA quantity and purity were then verified using the D-11 Spectrophotometer (DeNovix) and first-strand cDNA was synthesised with NZY First-Strand cDNA Synthesis Kit (NZYTech). cDNA amplification was carried out with specific primers (Table 3) for genes that have been selected for their involvement in immune and antioxidant responses and methionine metabolism (Table 3). Primers were designed with NCBI Primer Blast Tool according to known qPCR restrictions (amplicon size, Tm difference between primers, GC content and self-dimer or cross-dimer formation). Serial fivefold dilutions of cDNA were used to analyse the efficiency of the primer pairs by calculating the slope of the regression line of the cycle thresholds (Ct) v. the relative concentration of cDNA. Accession number, efficiency values, annealing temperature, product length and primers sequences are presented in Table 3.

Table 3. Gene panel analysed in hepatopancreas

*Efficiency of PCR reactions were calculated from serial dilutions of tissue RT reactions in the validation procedure.

†Annealing temperature (°C).

‡Amplicon (nt).

Primer efficiency and quantitative PCR assays were performed with CFX384 Touch Real-Time PCR Detection System (Bio-Rad) using 4·4 µl of cDNA (23 ng cDNA per well) mixed with 5 µl of iTaq Universal SYBR Green Supermix (Bio-Rad) and 0·3 µl of 10 µM of each specific primer in a final volume of 10 µl. Melting curve analysis was also performed to verify that no primer dimers were amplified. The standard cycling conditions were 10 min at 95°C for initial denaturation, 40 cycles of 2 steps (95°C for 15 s and primer annealing temperature for each different gene for 1 min), 1 min at 95°C followed by 35 s at the annealing temperature (60°C for all used primers) and ending with 95°C for 0·5 s. All reactions were carried out as technical duplicates. The expression of the target genes was normalised using the average expression of whiteleg shrimp cytoplasmic-type actin 4 and ribosomal protein L8.

Statistical analysis

All results are expressed as mean of five replicates ± standard deviation (mean ± sd). Data were analysed for normality and homogeneity of variance, and, prior to ANOVA, values expressed as percentage were subjected to arcsin square root transformation(Reference Zar36). Data were analysed by a one-way ANOVA, with methionine supplementation level as an independent variable. When appropriate, means were compared by the Student–Newman–Keuls test. Statistical significance was tested at 0·05 probability level. All statistical tests were performed using the IBM SPSS Statistics software (version 21).

In addition, exponential (Ex), liner broken-line and quadratic broken-line (QBL) models were used to estimate the optimal level of total Met and Met + Cys inclusion to maximise shrimp responses including final body weight, biomass gain (BG) and FCR. Linear broken-line model was expressed as Y = β0 + β1 × (β2X), where (β2X) = 0 for X > β2, Y is the dependent variable, X is the dietary Met or Met + Cys level, β0 is the value at the plateau, β1 is the slope and β2 is the Met or Met + Cys concentration at the break point. Quadratic broken-line model is Y = β0 + β1 × (β2X)2, where (β2X) = 0 for X > β2, Y is the dependent variable, X is the dietary Met or Met + Cys concentration, β0 is the value at the plateau, β1 is the slope and β2 is the Met or Met + Cys concentration at the break point. Exponential model was expressed as Y = β0 + β1 × (1–EXP(–β2 × (X–β3), where Y is the dependent variable, X is the dietary Met or Met + Cys concentration, β0 is the response for the dependent variable estimated for the basal diet concentration of Met or Met + Cys, β1 is the difference estimated between the minimum and maximum response obtained by the increasing Met or Met + Cys, β2 is the slope of the exponential curve, β3 is the Met or Met + Cys level in the basal diet; Met or Met + Cys requirement was estimated by calculating (ln(0·05)/ ± β2) + β3 for 95 % of the max response.

Results

Growth performance

Growth performance was evaluated at 30 and 57 d of feeding and at the end of the trial (74 d) and consisted in the evaluation of shrimp survival, FBW, SGR, BG, FCR, feed intake (FI) and PER (Table 4).

Table 4. Growth performance after 30, 57 and 74 d of feeding (IBW: 1·72 ± 0·11 g). Final mean body weight (FBW), specific growth rate (SGR), biomass gain (BG), feed conversion rate (FCR), feed intake (FI) and protein efficiency ratio (PER)

Values are presented as means ± sd (n 5). Data were analysed by a one-way ANOVA, with methionine supplementation level as independent variable. When appropriate, means were compared by the Student–Newman–Keuls test. Statistical significance was tested at 0·05 probability level. Different lower-case letters stand for differences among dietary treatments.

Thirty days of feeding

At 30 d of feeding, methionine supplementation had a significant effect on the overall zootechnical performance criteria. Shrimp fed all diets supplemented with Met-Met showed a significantly higher FBW, SGR, BG, PER and a significantly lower FCR and FI than those fed the NC diet. Moreover, shrimp fed Met-Met 0·32% showed higher BG than those fed Met-Met 0·08 %, while individuals fed Met-Met 0·24% and Met-Met 32% showed a significantly lower FCR than those fed the Met-Met 0·08 diet. Shrimp fed diets Met-Met 0·24% and Met-Met 0·32% showed a significantly lower feed intake and significantly higher PER than those fed the Met-Met 0·08% and Met-Met 0·12% diets.

Fifty-seven days of feeding

After 57 d of experimental feeding, the overall performance data were within the expected range for the species. Although some mortality occurred, after 57 d of experimental feeding, the average survival rate was 93 % and was not significantly affected by dietary treatments. Shrimp FBW at this time ranged from 6·24 g to 8·08 g, with shrimp from the best performing treatment showing a 4·7-fold increase of their IBW. At 57 d of feeding, methionine supplementation had a significant effect on the overall zootechnical performance criteria. Shrimp fed all diets supplemented with Met-Met showed a significantly higher FBW, SGR, BG, PER and a significantly lower FCR and FI than those fed the NC diet. Shrimp fed diets supplemented with Met-Met at levels equal or higher than 0·12 %, showed a higher FBW, SGR and BG than those fed the Met-Met 0·08 % diet. Additionally, shrimp fed with the Met-Met 0·24 % and Met-Met 0·32 % presented a higher BG than those fed the remaining diets. Met-Met 0·32 % diet showed a higher FBW and SGR than those fed the Met-Met 0·12 % diet. Shrimp fed diet Met-Met 0·8 % showed a significantly higher FCR than those fed diets with higher Met-Met supplementation doses (0·12, 0·24 and 0·32 %). Shrimp fed with the Met-Met 0·24 % diet showed a significantly higher PER than those fed with the Met-Met 0·08 diet.

Seventy-four days of feeding

At the end of the trial, the average survival was 85·2 %, which can be considered as acceptable for the species, but was significantly affected by dietary treatments. Survival was significantly lower in shrimp fed the NC diet compared with all supplemented diets. Moreover, shrimp fed Met-Met 0·12 % dietary treatment showed a significantly higher survival than those fed the Met-Met 0·8 % diet. Shrimp FBW ranged from 9·54 g to 15·29 g, with shrimp in the best-performing treatments showing an 8·9-fold increase of their initial body weight. After 74 d of experimental feeding, methionine supplementation had a significant effect on the overall zootechnical performance criteria. Shrimp fed all diets supplemented with Met-Met showed a significantly higher FBW, SGR, BG, PER and a significantly lower FCR and feed intake than those fed the NC diet. Shrimp fed diets supplemented with Met-Met at levels equal or higher than 0·12 %, showed a higher FBW, SGR and BG than those fed the Met-Met 0·8 diet. Shrimp fed diets with the two higher Met-Met supplementation doses (0·24 and 0·32 %) showed a significant reduction of FCR and feed intake, when compared with those fed the lower Met-Met supplementation doses (0·08 and 0·12 %). Moreover, shrimp fed with the Met-Met 0·12 diet showed a significantly lower FCR and FI and lower PER than those fed the Met-Met 0·08 diet. Shrimp fed diets with the two higher Met-Met supplementation doses (0·24 and 0·32 %) showed a significantly higher PER than those fed diets supplemented with the lower Met-Met doses (0·08 and 0·12 %).

Shrimp whole-body composition

For proximate and AA whole-body composition, an initial pool of fifty shrimps was collected, while a pool of ten shrimps per tank (quintuplicate tanks) was collected at 74 d of feeding. No differences regarding moisture, protein, fat, ash or energy were observed between the dietary treatments (Table 5). Also, no differences were observed regarding AA body composition.

Table 5. Proximate composition of whole shrimp (initial and 74 d after feeding the experimental diets)

Values are presented as means ± sd (n 5). Data were analysed by a one-way ANOVA, with methionine level as variable.

Nutrient retention

Dietary Met-Met supplementation had a significant effect on the retention of protein, fat and energy at whole-body level (Table 6). Protein retention ranged between 19·1 and 36·8%, with shrimp fed all diets supplemented with Met-Met showing a significantly higher protein retention than those fed the NC diet. The Met-Met supplementation dose had also a significant effect. Supplementation at 0·12% resulted in a significantly higher protein retention than the 0·08% dose, and the two highest doses (0·24 and 0·32%) led to further significantly increase of protein retention over the 0·12% dose. Fat retention ranged between 4·6 and 10·3%. Shrimp fed diets NC and Met-Met 0·08% showed a significantly lower fat retention than those fed diets supplemented with Met-Met at 0·12, 0·24 and 0·32%. Energy retention ranged between 9·1 and 17·5%. Shrimp fed all diets supplemented with Met-Met showed a significantly higher energy retention than those fed the NC diet. Moreover, shrimp fed diets supplemented with Met-Met at levels equal or higher than 0·12%, showed a higher energy retention than those fed the Met-Met 0·08 % diet. Shrimp fed all diets supplemented with Met-Met showed a significantly higher whole-body retention of all amino acids than those fed the NC diet (Table 8). At the exception of methionine, amino acids retention was highest with diets supplemented with Met-Met at 0·24 and 0·32%, intermediate with diets supplemented at 0·12% and lowest with diet supplemented at 0·08%. Methionine retention was highest at supplementation doses of 0·12 and 0·24%.

Table 6. Nutrient and energy retention in shrimp fed the diary treatments (expressed as percentage of intake)

Values are presented as means ± sd (n 5). Data were analysed by a one-way ANOVA, with methionine supplementation level as independent variable. When appropriate, means were compared by the Student–Newman–Keuls test. Statistical significance was tested at 0·05 probability level. Different lower-case letters stand for differences among dietary treatments.

Table 7. Retention of cysteine and essential amino acids in shrimp fed the diary treatments (expressed as percentage of intake)

Values are presented as means ± sd (n 5). Data were analysed by a one-way ANOVA, with methionine supplementation level as independent variable. When appropriate, means were compared by the Student–Newman–Keuls test. Statistical significance was tested at 0·05 probability level. Different lower-case letters stand for differences among dietary treatments.

Table 8. Apparent digestibility coefficients (ADC, %) of dry matter, protein, fat, energy and amino acids

Values are presented as means ± sd (n 5). Data were analysed by a one-way ANOVA, with methionine supplementation level as independent variable. When appropriate, means were compared by the Student–Newman–Keuls test. Statistical significance was tested at 0·05 probability level. Different lower-case letters stand for differences among dietary treatments.

Apparent digestibility

The ADC for dry matter, protein and amino acids were measured only on diets NC and Met-Met 0·32 % (Table 8). The apparent digestibility of dry matter, protein and amino acids, at the exception of methionine, was not significantly affected by dietary treatments. Shrimp fed the Met-Met 0·32 diet showed a significantly higher digestibility of methionine than those fed the NC diet.

Nitrogen balance

Based on feed intake, weight gain, whole-body protein content and ADC of protein, a daily balance of nitrogen (N) was calculated and presented in Table 9.

Table 9. Daily nitrogen balance

Values are presented as means ± sd (n 5). Data were analysed by a one-way ANOVA) with methionine supplementation level as independent variable. When appropriate, means were compared by the Student–Newman–Keuls test. Statistical significance was tested at 0·05 probability level. Different lower-case letters stand for differences among dietary treatments.

Shrimp fed all diets supplemented with Met-Met showed a significantly higher daily nitrogen (N) gain and significantly lower faecal and metabolic N losses than those fed the NC diet. Among the supplemented diets, dose had also a significant effect on the daily N balance. Shrimp fed diets supplemented with Met-Met at levels equal or higher than 0·12 % showed a higher N gain than those fed the Met-Met 0·08 % diet. Both faecal and metabolic N losses were lowest with diets supplemented with Met-Met at 0·24 and 0·32 %, intermediate with diets supplemented at 0·12 % and highest with diet supplemented at 0·08 %.

Free amino and nitrogen-related metabolites in hepatopancreas

Several free amino acids and nitrogenous metabolites were significantly affected by Met-Met supplementation (Table 10). In comparison with the non-supplemented diet (NC) and the lowest Met-Met dose (0·08 %), the higher levels of Met-Met supplementation led to a gradual and significant increase on the content of most amino acid and metabolites in shrimp hepatopancreas. Exceptions being taurine and beta-alanine contents, which tended to be significantly reduced with an increase of dietary Met-Met levels.

Table 10. Free amino acids and nitrogen-related metabolites in hepatopancreas

GABA: γ-amino-n-butyric acid, Hpro: hydroxyproline, Bala: beta-alanine, HCys: homocysteine, Cysta: cystathionine, TMG: trimethylglycine, SAM: S − adenosyl methionine, SAH: S − adenosyl homocysteine. Values are presented as means ± sd (n 5). Data were analysed by a one-way ANOVA, with methionine supplementation level as independent variable. When appropriate, means were compared by the Student–Newman–Keuls test. Statistical significance was tested at 0·05 probability level. Different lower-case letters stand for differences among dietary treatments.

Metabolic enzymes and oxidation status

The effect of graded dietary supplementation levels of Met-Met on the general metabolic status of shrimp was assessed by measuring the activities of transaminases and oxidative enzymes (Table 11). In the various tissues, shrimp fed diets supplemented with Met-Met at levels equal or higher than 0·12 % showed a significant reduction on the activities of ALT and AST, than those found in shrimp fed with the NC and Met-Met 0·08 % diet. Supplementation with Met-Met at levels equal or higher than 0·12 % led to a significant increase on the activity of superoxide dismutase in the muscle, while without a significant effect on hepatopancreas. Highest doses of Met-Met (0·24 and 0·32 % in muscle and 0·32 % only in hepatopancreas) significantly enhanced the activity of catalase.

Table 11. Activity of alanine aminotransferase (ALT), aspartate aminotransferase (AST), total superoxide dismutase (SOD) and catalase (CAT) in shrimp muscle, hepatopancreas and haemolymph

Values are presented as means ± sd (n 5). Data were analysed by a one-way ANOVA, with methionine supplementation level as independent variable. When appropriate, means were compared by the Student–Newman–Keuls test. Statistical significance was tested at 0·05 probability level. Different lower-case letters stand for differences among dietary treatments.

To further assess the oxidative status of shrimp fed the various diets, the levels of total glutathione, protein carbonyls and lipid peroxidation were measured in the muscle and hepatopancreas (Table 12). Dietary treatments had no significant effect on the levels of protein carbonyls. Lipid peroxidation in the muscle, but not in the hepatopancreas, was significantly reduced with the increase of supplemental Met-Met levels. Similarly, total GSH levels in the hepatopancreas were significantly enhanced with the graded increase of supplemental AQUAVI® Met-Met levels.

Table 12. Total glutathione, protein carbonyls and lipid peroxidation levels in shrimp muscle and hepatopancreas

Values are presented as means ± sd (n 5). Data were analysed by a one-way ANOVA, with methionine supplementation level as independent variable. When appropriate, means were compared by the Student–Newman–Keuls test. Statistical significance was tested at 0·05 probability level. Different lower-case letters stand for differences among dietary treatments.

Hepatopancreas immune-related gene expression

Most genes associated to an immune and antimicrobial role were not affected by dietary treatments (Table 13). Genes involved in antioxidant response as GPX and GST, which codes glutathione peroxidase and glutathione transferase, respectively, were highest in shrimp fed the Met-Met 0·12 % diet. Moreover, the highest Met-Met dose (0·32 %) led to significant increase on the expression of S-adenosylmethionine synthase-like (sam-synth) and spermine synthase (sms). Finally, the mRNA expression of SAHH, which codes adenosyl-homocysteinase, was increased until the Met-Met 0·12 % diet.

Table 13. Expression (as normalised mRNA) of selected immune, antioxidant and metabolic genes in shrimp hepatopancreas

Values are presented as means ± sd (n 5). Data were analysed by a one-way ANOVA, with methionine supplementation level as independent variable. When appropriate, means were compared by the Student–Newman–Keuls test. Statistical significance was tested at 0·05 probability level. Different lower-case letters stand for differences among dietary treatments.

Optimal Met and Met + Cys requirements

Total Met and Met + Cys requirements estimates were estimated according to the Ex, liner broken-line and quadratic broken-line models (Table 14). All the three models fit the body weight, BG and FCR data very well with the R2 values being ∼90 %. The average Met requirement value, across the three different model estimates, was estimated at 0·80 % diet (DM basis) to optimise final body weight and BG and at 0·88 % diet (DM basis) to optimise FCR. Similar model estimate for Met + Cys was estimated to be 1·27 % diet (DM basis) to optimise final body weight and BG and at 1·35 % diet (DM basis) to optimise FCR.

Table 14. Exponential (Ex), liner broken-line (LBL) and quadratic broken-line (QBL) models estimation of methionine (met) and met + cysteine (Cys) requirements for maximum final body weight (FBW), biomass gain and feed conversion ratio (FCR) after 74 d of feeding

β3: Met (0·56) or Met + Cys (1·03).

Discussion

Taking into consideration that Met-Met dietary incorporation and supplementation resulted in a higher bioavailability, when compared with its common alternative (DL-methionine)(Reference Niu, Lemme and He33), the present work was focused on the effects of Met-Met supplementation on growth performance, whole-body composition, nutrient retention, apparent digestibility and methionine immune and antioxidant-related pathways.

Shrimp growth performance, survival, whole-body composition and feed efficiency were improved by dietary AQUAVI® Met-Met supplementation after a feeding period of 74 d. The positive effect of the DL-methionyl-DL-methionine dipeptide dietary surplus on growth performance and feed efficiency was in fact early perceived after only 30 and 57 d of feeding. Though the observed improvement of shrimp final body weight and specific growth rate was not always parallel to the increment of Met-Met dietary surplus, since it reached a maximum growth performance in shrimp fed Met-Met 0·12 %. Nonetheless, the ratio of weight gain to the amount of protein consumed, given by the protein efficiency ratio, was found improved up to Met-Met 0·24 %, while the BG was gradually improved with the supplementation of Met-Met. In fact, at the end of the trial, the individuals fed Met-Met 0·24 and 0·32 % showed a significant higher survival rate despite the stabilisation of the growth performance indicators. The authors believe that this could be a reflection of the increase of the rearing density, due to the improved survival of these groups. This hypothesis is supported by the gradual increase of BG up to Met-Met 0·32 %, since it considers both survival and shrimp growth data. Thus, Met-Met efficacy to achieve shrimp robustness as an additive form of methionine, and the AA role in the support of shrimp development is where perceptible. The positive outcome of Met-Met dietary surplus on shrimp growth performance and survival is reinforced by the decrease of feed conversion ratio and feed intake in Met-Met 0·24 and 0·32 %. Model-estimate observations also provide similar conclusions projecting the 0·8% of methionine as the requirement for the optimal growth and body weight, which is equivalent to the 0·24% Met-Met dietary treatment (basal: 0·56% Met). On the other hand, the models estimate that the amount of methionine needed to optimise FCR is slightly higher, 0·88% DM, which corresponds to the Met-Met 0·32% diet. Same conclusions are withdraw by the Met + Cys model estimations. Altogether, these studies strongly support the role of methionine in shrimp growth performance and Met-Met ability to replace DL-methionine as feed additive. Niu, Lemme(Reference Niu, Lemme and He33) and Ji, Wang(Reference Ji, Wang and He32) also verified such outcome in similar trials when whiteleg shrimps were fed with graded levels of Met-Met (0·06 to 0·3 % of the diet) for 63 and 91 d, respectively. Niu, Lemme(Reference Niu, Lemme and He33) had also described a significant increase of whiteleg shrimp whole-body protein and AA content as a result of Met-Met dietary supplementation. Nevertheless, in the present trial, no differences were observed in shrimp body proximate and AA composition. Similar findings were described by Mamauag, Gao(Reference Mamauag, Gao and Thanh Nguyen37) for red sea bream (Pagrus major) fed a methionine dipeptide (0·5 % of diet). Nonetheless, Met-Met dietary spare significantly improved energy and fat whole-body retention up to 0·12 % dietary supplementation, while protein and essential AA retention were enhanced until the 0·24 % of surplus, with the exception of methionine whose retention reached a maximum in shrimp fed Met-Met 0·12 % and then decreased at higher supplementation levels. Finally, the retention of all non-essential AA was increased in a dose–response manner. These results indicate an improved metabolic handling of the Met-Met supplemented diets (up to 0·24 % of Met-Met supplementation) for protein synthesis, with the concomitant improvement of growth (as previously discussed). Also, the present results point to the fact that methionine may be restrictive AA in the present diets that limits fat, protein and AA deposition.

AQUAVI® Met-Met presents low water solubility (data from Evonik’s aqua R & D group), important for slow feeders as shrimps, but also to the ability to be slowly released in the gut(Reference Niu, Lemme and He33). The latter avoids methionine tissue imbalance and guarantees protein anabolism instead of the catabolic process(Reference Tesser, Terjesen and Zhang38). In fact, the apparent digestibility of methionine was increased in Met-Met 0·32 % diet compared with NC diet. The net result of such balance is demonstrated by the higher nitrogen daily gain of shrimp fed Met-Met 0·12, 0·24 and 0·32 % and by the gradual decrease of both faecal and metabolic nitrogen daily losses.

Likewise, the majority of the free AA and nitrogenous metabolites analysed in the hepatopancreas were significantly increased in the highest Met-Met supplementation levels (Met-Met 0·24 and 0·32 %) compared with both NC and Met-Met 0·08 %. This is in fact true for methionine and the conditionally essential and methionine-derived AA, cysteine. Also, ornithine, thrimethylglycine and key methionine-related metabolites as homocysteine (HCys), cystathionine, S-adenosylmethionine (SAM) and S-adenosyl homocysteine (SAH) concentrations were augmented in the hepatopancreas. Accordingly, the modulation of the methionine-related pathways was also verified with the up-regulation of hepatopancreas mRNA expression of SAM-synthase (SAM-synth) and spermine synthase in the highest Met-Met dose. Also, the expression of the S-adenosyl homocystainase (SAHH) was found increased up to Met-Met 0·12 % and then significantly reduced in the following supplementation levels (discussed below). The higher free-AA hepatopancreas content was then reinforced by the decreased activity of the aminotransferases (ALT and AST) since both enzymes catalyse the transfer of the amino group of any AA to a carbonyl compound, a mechanism responsible for the formation of necessary AA in the metabolism of proteins and gluconeogenesis. Hence, the low activity of such enzymes may be indicative of an hepatopancreas reduced free-AA mobilisation and tissue damage(Reference Engel, Paradisi, Liu and Mander39). In fact, the activity of both enzymes was also reduced in shrimp muscle and haemolymph in response to Met-Met dietary inclusion. Moreover, the higher free-AA pool observed in the hepatopancreas of shrimp fed higher levels of Met-Met supplementation could also be of advantage under osmoregulatory challenging. In most marine invertebrates, it has been described that a high intracellular FAA concentration contributes to osmoregulation in the saline environment(Reference Yancey, Clark and Hand40). Actually, the ability of crustaceans to maintain intracellular isosmotic homoeostasis rely on a rapid response of cells to regulate the concentration of organic osmolytes, composed essentially, by nitrogen-based compounds, as AA(Reference Yancey, Wright and Anderson41). Through their accumulation or degradation(Reference Greenaway42,Reference Augusto, Greene and Laure43) , FAA function as osmoeffectors has verified for brine shrimp (Artemia franciscana)(Reference Nakamura, Iwaizumi and Yamada44) and whiteleg shrimp(Reference Shinji, Okutsu and Jayasankar45).

Looking to the oxidative status of shrimps, the several indicators tested pointed to a higher antioxidant activity in both muscle and hepatopancreas in those fed dietary Met-Met supplementation. For instance, the activity of superoxide dismutase in muscle, responsible for the dismutation of superoxide radicals into oxygen and hydrogen, was found increased by Met-Met, concomitant with the decreased levels of lipid peroxidation. Moreover, in both muscle and hepatopancreas tissues, catalase activity, the enzyme accountable for the elimination of hydrogen peroxide to water and oxygen, was found improved in the highest supplementation levels. In agreement, the content of hepatopancreas total glutathione was significantly increased by the Met-Met. GSH is in fact a tripeptide of L-γ-glutamyl-L-cysteinyl-glycine that beyond its antioxidant role can serve as a cysteine storage form(Reference Halliwell and Gutteridge46) in response to the increased hepatopancreas cysteine concentration in shrimp fed Met-Met 0·24 and 0·32 %. The observed results seem to point to a clear optimisation of Met dietary content for its antioxidant properties.

Nonetheless, the expression pattern of GPX and GST was not found in agreement with the dose–response increase of GSH pool. The expression of these antioxidant enzymes increased in shrimp fed up to Met-Met 0·12 % and then dropped in the higher supplementation levels pointing to some level of response to the high methionine dietary content. The observed down-regulation of GST and GPX expression could be related to the activity of non-enzymatic and methionine-related antioxidant mechanisms. Both enzymes transcription is mostly dependent on the involvement of a pro-oxidant stimuli, as ROS and other electrophiles(Reference Brigelius-Flohé47). Since methionine and cysteine are easily oxidised AA, an increased consumption of ROS(Reference Weissbach, Etienne and Hoshi48) is excepted with higher methionine concentration, thus rendering ROS less available as a transcriptional factor GST and GPX genes.

An integrated view of the modulated methionine-related pathways with close association with the immune and oxidative stress response

The network of mechanisms evaluated in the present work clearly displayed a modulation of the several methionine-related pathways in response to the dietary Met-Met supplementation. Hence, in this section of the discussion it is intended to correlate the observed results of hepatopancreas with the methionine pathways with close association to shrimp immune and anti-oxidative response (metabolic pathways and results summarised in Fig. 1).

Fig. 1. Methionine-associated routes modulated in the hepatopancreas in response to Met-Met dietary supplementation. ATP: adenosine triphosphate; SAM: S-adenosylmethionine; TMG: trymethylglycine; SAH: S-adenosylhomocysteine; HCys: homocysteine; SAHH: S-adenosyl homocysteine hydrolase; dSAM: decarboxylated S-adenosylmethionine; SMS: spermine synthase; GSH: glutathione; GSSG: glutathione oxidase; GST: glutathione transferase; GPX: glutathione peroxidase; CAT: catalase; ALT/AST: alanine and aspartate aminotransferases.

First, it should be noted that dietary Met-Met surplus was found to be directly translated in an increase of hepatopancreas methionine content, in a dose–response manner. Afterwards, by the action of S-adenosylmethionine synthase (SAM-synth)(Reference Pegg49), methionine can generate S-adenosylmethionine (SAM), the universal methyl donor for numerous transmethylation reactions(Reference Grillo and Colombatto10). Indeed, in response to the higher methionine availability, the amount of metabolite SAM and mRNA expression of SAM-synth was improved in shrimp fed the highest Met-Met inclusion levels. Then, SAM-derived methyl group can have different fates, pivotal in the regulation of cellular functions and proliferation, DNA methylation or even in the oxidative stress response(Reference Grillo and Colombatto10,Reference Luo and Levine20,Reference Pegg49Reference Zhang51) . One of those fates is the polyamine biosynthesis via the aminopropylation pathway, where decarboxylated SAM adds aminopropane to the forming polyamines, required for cell proliferation(Reference Igarashi and Kashiwagi17). In the present study, the aminopropylation pathway seems to be modulated since the expression of spermine synthase, responsible for the conversion of polyamine spermidine into spermine in the polyamine biosynthesis pathway, was found up-regulated in Met-Met 0·32 %. Also, the concentration of the non-proteinogenic amino acid ornithine, regulator of polyamine biosynthesis,(Reference Mills52) was found augmented by the higher Met-Met dietary availability.

Moreover, SAM can be consumed through the transsulfuration route, where SAM gives place to S-adenosyl homocysteine and then by the action of S-adenosyl homocysteinase to homocysteine (HCys)(Reference Pegg50). In fact, HCys levels were found superior in most Met-Met dietary treatments. However, the expression levels of SAHH were only found increased up to 0·12 % of Met-Met surplus and then decreased in higher levels of supplementation. This modulation pattern may be interpreted as a negative feedback mechanism to the increasing amounts of HCys in the highest Met-Met supplementation levels. In fact, such hypothesis is backed by the higher amount of trimethylglycine in Met-Met 0·32 %, since it works as a methyl donor for the remethylation of HCys back to methionine in the methionine cycle(Reference Parkhitko, Jouandin and Mohr53,Reference McKeever, Weir and Molloy54) . Nevertheless, HCys can follow the transsulfuration course to form cystathionine and the conditionally essential AA cysteine(Reference McKeever, Weir and Molloy54). Actually, the amount of both molecules was found increased by Met-Met spare. Cysteine can then take part in the formation of the antioxidant molecule glutathione(Reference Hunter and Grimble55), whose activity was found increased in a dose–response manner to the Met-Met availability. Nevertheless, and as previously discussed, the expression of the free radical scavengers GST and GPX were found increased only up to Met-Met 0·12 % and then found down-regulated to the basal levels presented by the NC dietary treatment. Is here hypothesised that such response could be the result of a negative feedback mechanism to the high amount of glutathione and its precursor, cysteine. Similar response was previously observed for SAHH mRNA expression. Methionine contribution to oxidative stress homeostasis is further demonstrated by the higher catalase and low aminotransferases activity in the hepatopancreas that point to an improved protection to oxidative damage and minor tissue damage.

In summary, AQUAVI® Met-Met efficiency in promoting zootechnical performance in a practical formulation scenario for the whiteleg shrimp (Penaeus vannamei) is once again confirmed. It can be concluded that graded dietary increase of methionine dipeptide up to 0·24 % for 74 d may result in significant gains on the growth performance, feed efficiency, nutrient and nitrogen gain and shrimp survival. Moreover, for the first time, it was showed that Met-Met dietary spare leads to an improvement of free-AA pool and nitrogen metabolites concentration in the hepatopancreas and reduces the signs of oxidative stress in both hepatopancreas, muscle and haemolymph. Finally, in a closer look to the methionine-related pathways passive to be altered by Met-Met spare, a clear modulation of the described antioxidant and cell proliferation routes was detected. Actually, despite the activation of control feedback mechanisms in response to higher surplus levels, homeostasis seems to be maintained that is clearly showed by the growth performance demonstrated by those diets.

Acknowledgements

This experiment was funded by Evonik Operations GmbH, Germany. This research was also supported by national funds through FCT within the scope of UIDB/04423/2020 and UIDP/04423/2020. KM is a full-time employee of Evonik Operations GmbH.

K. M. and J. D. conceived the experiments and formulated the experimental diets; J. D. produced the experimental diets; S. F. B., C. T., M. V. and R. S. conducted the experimental trial; M. M. and J. D. performed most laboratory techniques and M. M. wrote the manuscript under the supervision of J. D., B. C. and K. M. All authors contributed to and approved the manuscript.

The authors declare that they do not have any known competing financial interests or personal relationships that could influence the work reported in this paper.

References

NRC (2011) Nutrient Requirements of Fish and Shrimp. Washington, DC: The National Academies Press.Google Scholar
FAO (2016) The State of World Fisheries and Aquaculture 2016 (SOFIA): Contributing to Food Security and Nutrition for All. Rome: Food and Agriculture Organization. pp. 200.Google Scholar
Lee, C & Lee, K-J (2018) Dietary protein requirement of Pacific white shrimp Litopenaeus vannamei in three different growth stages. Fisheries Aquat Sci 21, 30.CrossRefGoogle Scholar
Goff, JB & Gatlin, DM (2004) Evaluation of different sulfur amino acid compounds in the diet of red drum, Sciaenops ocellatus, and sparing value of cystine for methionine. Aquaculture 241, 465477.CrossRefGoogle Scholar
Kaushik, SJ, Cravedi, JP, Lalles, JP, et al. (1995) Partial or total replacement of fish meal by soybean protein on growth, protein utilization, potential estrogenic or antigenic effects, cholesterolemia and flesh quality in rainbow trout, Oncorhynchus mykiss. Aquaculture 133, 257274.CrossRefGoogle Scholar
Xie, J-J, Lemme, A, He, J-Y, et al. (2018) Fishmeal levels can be successfully reduced in white shrimp (Litopenaeus vannamei) if supplemented with DL-Methionine (DL-Met) or DL-Methionyl-DL-Methionine (Met-Met). Aquacult Nutr 24, 11441152.CrossRefGoogle Scholar
Li, P, Mai, KS, Trushenski, J & Wu, GY (2009) New developments in fish amino acid nutrition: towards functional and environmentally oriented aquafeeds. Amino Acids 37, 4353.CrossRefGoogle ScholarPubMed
Le Floc’h, N, Melchior, D & Obled, C (2004) Modifications of protein and amino acid metabolism during inflammation and immune system activation. Livest Prod Sci 87, 3745.CrossRefGoogle Scholar
Azeredo, R, Serra, CR, Oliva-Teles, A, et al. (2017) Amino acids as modulators of the European seabass, Dicentrarchus labrax, innate immune response: an in vitro approach. Sci Rep-UK 7, 18009.CrossRefGoogle ScholarPubMed
Grillo, MA & Colombatto, S (2008) S-adenosylmethionine and its products. Amino Acids 34, 187193.CrossRefGoogle ScholarPubMed
Grimble, RF & Grimble, GK (1998) Immunonutrition: role of sulfur amino acids, related amino acids, and polyamines. Nutrition 14, 605610.CrossRefGoogle ScholarPubMed
Laxman, S, Sutter, BM & Tu, BP (2014) Methionine is a signal of amino acid sufficiency that inhibits autophagy through the methylation of PP2A. Autophagy 10, 386387.CrossRefGoogle ScholarPubMed
Martinez, Y, Li, X, Liu, G, et al. (2017) The role of methionine on metabolism, oxidative stress, and diseases. Amino Acids 49, 20912098.CrossRefGoogle ScholarPubMed
Niculescu, MD & Zeisel, SH (2002) Diet, methyl donors and DNA methylation: interactions between dietary folate, methionine and choline. J Nutr 132, 2333s2335s.CrossRefGoogle ScholarPubMed
Van Brummelen, R & du Toit, D (2007) L-methionine as immune supportive supplement: a clinical evaluation. Amino Acids 33, 157163.CrossRefGoogle ScholarPubMed
Williams, KT & Schalinske, KL (2010) Homocysteine metabolism and its relation to health and disease. BioFactors 36, 1924.Google ScholarPubMed
Igarashi, K & Kashiwagi, K (2000) Polyamines: mysterious modulators of cellular functions. Biochem Bioph Res Co 271, 559564.CrossRefGoogle ScholarPubMed
Waterland, RA (2006) Assessing the effects of high methionine intake on DNA methylation. J Nutr 136, 1706S1710S.CrossRefGoogle ScholarPubMed
Sutter Benjamin, M, Wu, X, Laxman, S, et al. (2013) Methionine Inhibits Autophagy and Promotes Growth by Inducing the SAM-Responsive Methylation of PP2A. Cell 154, 403415.CrossRefGoogle ScholarPubMed
Luo, S & Levine, RL (2009) Methionine in proteins defends against oxidative stress. FASEB J 23, 464472.CrossRefGoogle ScholarPubMed
Levine, RL, Berlett, BS, Moskovitz, J, et al. (1999) Methionine residues may protect proteins from critical oxidative damage. Mech Ageing Dev 107, 323332.CrossRefGoogle ScholarPubMed
Li, P, Yin, YL, Li, D, et al. (2007) Amino acids and immune function. Br J Nutr 98, 237252.CrossRefGoogle ScholarPubMed
Wu, B, Cui, H, Peng, X, et al. (2012) Pathology of spleen in chickens fed on a diet deficient in methionine. Health 4, 3238.CrossRefGoogle Scholar
Bunchasak, C (2009) Role of dietary methionine in poultry production. J Poult Sci 46, 169179.CrossRefGoogle Scholar
Azeredo, R, Machado, M, Guardiola, FA, et al. (2017) Local immune response of two mucosal surfaces of the European seabass, Dicentrarchus labrax, fed tryptophan- or methionine-supplemented diets. Fish Shell Immun 70, 7686.CrossRefGoogle ScholarPubMed
Machado, M, Azeredo, R, Diaz-Rosales, P, et al. (2015) Dietary tryptophan and methionine as modulators of European seabass (Dicentrarchus labrax) immune status and inflammatory response. Fish Shell Immun 42, 353362.CrossRefGoogle ScholarPubMed
Machado, M, Azeredo, R, Fontinha, F, et al. (2018) Dietary methionine improves the European seabass (dicentrarchus labrax) immune status, inflammatory response, and disease resistance. Front Immunol 9, 2672.CrossRefGoogle ScholarPubMed
Machado, M, Engrola, S, Colen, R, et al. (2020) Dietary methionine supplementation improves the European seabass (Dicentrarchus labrax) immune status following long-term feeding on fish meal free diets. Br J Nutr 129.Google Scholar
Machado, M, Moura, J, Peixoto, D, et al. (2021) Dietary methionine as a strategy to improve innate immunity in rainbow trout (Oncorhynchus mykiss) juveniles. Gen Comp Endocr 302, 113690.CrossRefGoogle ScholarPubMed
Richard, L, Blanc, P-P, Rigolet, V, et al. (2010) Maintenance and growth requirements for nitrogen, lysine and methionine and their utilisation efficiencies in juvenile black tiger shrimp, Penaeus monodon, using a factorial approach. Br J Nutr 103, 984995.CrossRefGoogle ScholarPubMed
Dabrowski, K, Zhang, Y, Kwasek, K, et al. (2010) Effects of protein-, peptide- and free amino acid-based diets in fish nutrition. Aquacult Res 41, 668683.CrossRefGoogle Scholar
Ji, R, Wang, Z, He, J, et al. (2021) Effects of DL-methionyl-DL-methionine supplementation on growth performance, immune and antioxidative responses of white leg shrimp (Litopenaeus vannamei) fed low fishmeal diet. Aquacult Rep 21, 100785.Google Scholar
Niu, J, Lemme, A, He, J-Y, et al. (2018) Assessing the bioavailability of the Novel Met-Met product (AQUAVI® Met-Met) compared to dl-methionine (dl-Met) in white shrimp (Litopenaeus vannamei). Aquaculture 484, 322332.CrossRefGoogle Scholar
AOAC (2006) Official Methods of Analysis of Association of Official Analytical Chemists International. Gaithersburg, MD: AOAC.Google Scholar
Bolin, DW, King, RP & Klosterman, EW (1952) A simplified method for the determination of chromic oxide (Cr2 O3) when used as an index substance. Science 116, 634635.CrossRefGoogle ScholarPubMed
Zar, JH (1999) Biostatistical Analysis. Ilinois; Englewood Cliffs, NJ: Prentice-HaIl.Google Scholar
Mamauag, REP, Gao, J, Thanh Nguyen, B, et al. (2012) Supplementations of dl-methionine and methionine dipeptide in diets are effective for the development and growth of larvae and juvenile red sea bream, pagrus major. J World Aquacult Soc 43, 362374.CrossRefGoogle Scholar
Tesser, MB, Terjesen, BF, Zhang, Y, et al. (2005) Free- and peptide-based dietary arginine supplementation for the South American fish pacu (Piaractus mesopotamicus). Aquacult Nutr 11, 443453.CrossRefGoogle Scholar
Engel, PC & Paradisi, F (2010) 5.03 – Novel enzymes for biotransformation and resolution of alpha-amino acids. In Comprehensive Natural Products II, pp. 7190 [Liu, H-W & Mander, L, editors]. Oxford: Elsevier.CrossRefGoogle Scholar
Yancey, PH, Clark, ME, Hand, SC, et al. (1982) Living with water stress: evolution of osmolyte systems. Science 217, 12141222.CrossRefGoogle ScholarPubMed
Yancey, PH (2001) Fish physiology, nitrogen excretion. In Nitrogen Compounds as Osmolytes, pp. 309341 [Wright, P & Anderson, P, editors]. San Diego: Academic Press.Google Scholar
Greenaway, P (2001) The Crustacea. Oxford: Oxford Press. pp. 292324.Google Scholar
Augusto, A, Greene, LJ, Laure, HJ, et al. (2007) The ontogeny of isosmotic intracellular regulation in the diadromous, freshwater palaemonid shrimps, Macrobrachium amazonicum and M. olfersi (Decapoda). J Crustacean Biol 27, 626634.CrossRefGoogle Scholar
Nakamura, K, Iwaizumi, K & Yamada, S (2007) Hemolymph patterns of free amino acids in the brine shrimp Artemia franciscana after three days starvation at different salinities. Comp Biochem Physiol A: Mol Integr Physiol 147, 254259.CrossRefGoogle ScholarPubMed
Shinji, J, Okutsu, T, Jayasankar, V, et al. (2012) Metabolism of amino acids during hyposmotic adaptation in the whiteleg shrimp, Litopenaeus vannamei. Amino Acids 43, 19451954.CrossRefGoogle ScholarPubMed
Halliwell, B & Gutteridge, JM (2015) Free Radicals in Biology and Medicine. Oxford: Oxford University Press.CrossRefGoogle Scholar
Brigelius-Flohé, R (2006) Glutathione peroxidases and redox-regulated transcription factors. Biol Chem 387, 13291335.CrossRefGoogle ScholarPubMed
Weissbach, H, Etienne, F, Hoshi, T, et al. (2002) Peptide methionine sulfoxide reductase: structure, mechanism of action, and biological function. Arch Biochem Biophys 397, 172178.CrossRefGoogle ScholarPubMed
Pegg, AE (2009) S-Adenosylmethionine decarboxylase. Essays Biochem 46, 2545.Google ScholarPubMed
Pegg, AE (2008) Spermidine/spermine-N(1)-acetyltransferase: a key metabolic regulator. Am J Physiol - Endocrinol Metab 294, E995E1010.CrossRefGoogle ScholarPubMed
Zhang, N (2017) Role of methionine on epigenetic modification of DNA methylation and gene expression in animals. Anim Nutr 4, 1116.CrossRefGoogle ScholarPubMed
Mills, CD (2001) Macrophage arginine metabolism to ornithine/urea or nitric oxide/citrulline: a life or death issue. Crit Rev Immunol 21, 399425.CrossRefGoogle ScholarPubMed
Parkhitko, AA, Jouandin, P, Mohr, SE, et al. (2019) Methionine metabolism and methyltransferases in the regulation of aging and lifespan extension across species. Aging Cell 18, e13034-e.CrossRefGoogle ScholarPubMed
McKeever, MP, Weir, DG, Molloy, A, et al. (1991) Betaine-homocysteine methyltransferase: organ distribution in man, pig and rat and subcellular distribution in the rat. Clin Sci 81, 551556.CrossRefGoogle ScholarPubMed
Hunter, EAL & Grimble, RF (1997) Dietary sulphur amino acid adequacy influences glutathione synthesis and glutathione dependent enzymes during the inflammatory response to endotoxin and tumour necrosis factor-α in rats. Clin Sci 92, 297305.CrossRefGoogle ScholarPubMed
Figure 0

Table 1. Formulation of the experimental diets

Figure 1

Table 2. Proximate composition and amino acids content of the experimental diets

Figure 2

Table 3. Gene panel analysed in hepatopancreas

Figure 3

Table 4. Growth performance after 30, 57 and 74 d of feeding (IBW: 1·72 ± 0·11 g). Final mean body weight (FBW), specific growth rate (SGR), biomass gain (BG), feed conversion rate (FCR), feed intake (FI) and protein efficiency ratio (PER)

Figure 4

Table 5. Proximate composition of whole shrimp (initial and 74 d after feeding the experimental diets)

Figure 5

Table 6. Nutrient and energy retention in shrimp fed the diary treatments (expressed as percentage of intake)

Figure 6

Table 7. Retention of cysteine and essential amino acids in shrimp fed the diary treatments (expressed as percentage of intake)

Figure 7

Table 8. Apparent digestibility coefficients (ADC, %) of dry matter, protein, fat, energy and amino acids

Figure 8

Table 9. Daily nitrogen balance

Figure 9

Table 10. Free amino acids and nitrogen-related metabolites in hepatopancreas

Figure 10

Table 11. Activity of alanine aminotransferase (ALT), aspartate aminotransferase (AST), total superoxide dismutase (SOD) and catalase (CAT) in shrimp muscle, hepatopancreas and haemolymph

Figure 11

Table 12. Total glutathione, protein carbonyls and lipid peroxidation levels in shrimp muscle and hepatopancreas

Figure 12

Table 13. Expression (as normalised mRNA) of selected immune, antioxidant and metabolic genes in shrimp hepatopancreas

Figure 13

Table 14. Exponential (Ex), liner broken-line (LBL) and quadratic broken-line (QBL) models estimation of methionine (met) and met + cysteine (Cys) requirements for maximum final body weight (FBW), biomass gain and feed conversion ratio (FCR) after 74 d of feeding

Figure 14

Fig. 1. Methionine-associated routes modulated in the hepatopancreas in response to Met-Met dietary supplementation. ATP: adenosine triphosphate; SAM: S-adenosylmethionine; TMG: trymethylglycine; SAH: S-adenosylhomocysteine; HCys: homocysteine; SAHH: S-adenosyl homocysteine hydrolase; dSAM: decarboxylated S-adenosylmethionine; SMS: spermine synthase; GSH: glutathione; GSSG: glutathione oxidase; GST: glutathione transferase; GPX: glutathione peroxidase; CAT: catalase; ALT/AST: alanine and aspartate aminotransferases.