Growth and biochemical variables in Amazon catfish ( Pseudoplatystoma reticulatum ♀ x Leiarius marmoratus ♂) under different water pH

Abstract

Although fish may live in different aquatic environments, variations in the water quality parameters, mainly pH, may have a substantial impact in their development and welfare. The objective of this study was to test the effect of different pH levels on the growth performance and biochemical variables in Amazon catfish juveniles (Pseudoplatystoma reticulatum x Leiarius marmoratus). Fish were subjected to four different water pH levels (4.56, 6.0, 7.24, and 8.90) for 40 days. The total ammonia and alkalinity were higher and lower, respectively, in the treatments with water pHs 4.56 and 6.00 than at the other water pH levels. The un-ionized ammonia was higher at water pH 8.90 than at the other water pH levels. Amazon catfish exposed to water pH 4.56 presented specific growth rate and weight gain significantly higher than other water pH values. In general, fish under exposure to water pH 8.90 presented lower growth performance than other water pH values. Biochemical changes were recorded at all water pH. In conclusion, water pH 4.56 is recommended for an Amazon catfish production system, since fish presented higher growth and water quality variables were kept within adequate limits for aquaculture.

INTRODUCTION

Fish inhabit different aquatic environments, and changes in water quality parameters may compromise their development and welfare. For example, in Amazon basin there are acid or alkaline water environments and fish can migrate from one river to another mainly in the flood season (Baldisserotto et al. 2009). These changes can trigger stress and, consequently, reduce growth and impair physiological homeostasis (Barcellos et al. 2011). Water pH is a key parameter for fish production because of its influence on their development and survival. Exposure to extreme acidic or alkaline water pH represents a great challenge to fish, resulting in imbalance in osmoregulation, and limitation of growth and survival (Parra and Baldisserotto 2007). Therefore, maintaining desirable water pH in fish farming is essential to achieve good productivity rates (Copatti et al. 2005, Copatti and Amaral 2009).

Acidic water can promote ionic imbalance due to high concentrations of H+, which causes the inhibition of influx of Na+, K+ and Ca²+ ions (Aride et al. 2007). This results in disorders in blood cells, plasma proteins and the volume of fish fluids, which can trigger death from circulatory insufficiency (Wood 1989). Alkaline water, in turn, reduces the conversion of un-ionized ammonia (NH₃) into ionized ammonia (NH₄+), compromising the excretion of NH₃ by fish and increasing its concentration in plasma and tissues (Bolner et al. 2014), resulting in osmoregulatory imbalance and toxicity (Wilkie and Wood 1996), impairing growth and survival. At higher water pH, physiological homeostasis starts to break down in most species, with the principal problem being a build up of toxic ammonia in the body fluids associated with an inhibition of branchial ammonia excretion (Wilkie and Wood 1996).

One of the main problems in intensive aquaculture systems relates to the maintenance of fish welfare (Teixeira et al. 2017). Under conditions of adverse water pH, fish activate mechanisms to maintain homeostasis (McEwen and Wingfield 2003). Thus, the evaluation of metabolic variables contributes to a better understanding of fish healthiness. Plasma cortisol, glucose and protein, for example, are biochemical variables commonly used to assess the metabolic state of fish (Barcellos et al. 2011, Sena et al. 2016).

Cortisol is the main corticosteroid in fish and increases in plasma in response to a stressor stimulus (Barcellos et al. 2011). Although cortisol is involved in the stress response, growth and reproduction, this remarkably versatile hormone also has a well-established role in the endocrine control of osmoregulation (Mommsen et al. 1999). Cortisol acts stimulating the increase in the functional area of chloride cells (Lin et al. 2015) and decreasing gill permeability by tightening the tight junctions (Kelly and Chasiotis 2011, Chasiotis et al. 2012) to maintain ionic balance. Elevation of plasma cortisol levels may trigger increased plasma glucose levels as a way to compensate an increased tissue energy demand (Costas et al. 2008). Total plasma protein, in turn, is related to protein metabolism and reflects the nutritional status of fish (Higuchi et al. 2011).

The Amazon catfish (Leiarius marmoratus♂ x Pseudoplatystoma reticulatum♀) is a hybrid developed in the 1990s in Brazil. It has achieved prominence in Brazilian production by possessing characteristics desirable for production, such as rapid growth, resistance to handling and acceptability of vegetable ingredients in the diet (Prieto-Guevara et al. 2015). However, we are not aware of any study investigating the effects of water pH on their growth and welfare. Therefore, this study aimed to evaluate growth performance and biochemical variables of Amazon catfish juveniles subjected to different water pH levels.

MATERIALS AND METHODS

EXPERIMENTAL CONDITIONS

The study was carried out in the Laboratory of fish nutrition and feeding behavior of the Universidade Federal do Recôncavo da Bahia (UFRB). Seventy-two Amazon catfish juveniles (96.2 ± 0.96 g; 19.2 ± 0.36 cm) were taken from Colpani® fish farm, Mococa, SP, Brazil. The fish were housed for 15 days in continuously aerated 2000 L tanks in a recirculation system (stocking density 3.0 kg m-³). Subsequently, the fish were randomly transferred to 12 continuously aerated 250 L masonry tanks (initial stocking density of 0.40 kg m-³ or 6 fish tank-¹), with a semi-static system and biological filters. The experimental protocol was approved by the Ethics Committee of the Escola de Medicina Veterinária e Zootencia of the Universidade Federal da Bahia (number 78/2017).

Water pH was maintained by addition of NaOH (5 N) or H₂SO₄ (5 N). Water pH was monitored four to five times daily between 7:30 a.m. and 5:30 p.m. with a pH meter (mPA-210P). Temperature (digital thermometer Incoterm) and dissolved oxygen (oximeter DO-48) were monitored daily, and other water physical-chemical variables were monitored twice weekly. Hardness, alkalinity and nitrite were measured with a commercial kit (kit Alfatecnoquímica, Florianópolis, SC). Total ammonia was measured by a colorimetric method and read by spectrophotometer (photoLab® S12) and un-ionized ammonia levels were obtained from a conversion table for fresh water.

The statistical design was completely randomized, with four treatments and three replicates, under the following water pH levels (mean ± standard error of the mean; S.E.M.): 4.56 (± 0.03), 6.00 (± 0.02), 7.24 (± 0.02) and 8.90 (± 0.01). The experiment lasted 40 days. The fish were fed commercial food (35% crude protein; 3,600 kcal digestible energy, Purina Nutripeixe SI) twice daily (7:30 a.m. and 5:00 p.m.) until apparent satiety. Individuals were fasted for a period of 24 h prior to the experiment. In order to remove excess feces and feed residues, the tanks were siphoned and cleaned. The water lost due to evaporation or cleaning of the tanks was replaced with fresh water under the respective treatment conditions.

GROWTH PERFORMANCE

The following animal performance parameters were analyzed at the end of the experiment: weight gain (WG) = final body weight – initial body weight; specific growth rate (SGR) = 100 x [ln(final weight) – ln(initial weight)]/days of experiment; condition factor (CF) = 100 x (final weight/final length³); final biomass (FB) = final body weight x number of fish and; survival (S) = (final fish number x 100)/initial fish number).

SAMPLE COLLECTION AND ANALYSIS

After biometry, four fish from each tank (n = 12 per treatment) were randomly sampled, removed from the tank and euthanized with benzocaine (30 ppm) for blood collection (2.0 mL) from the caudal vasculature using heparinized syringes. The blood was centrifuged at −4 °C at 4000 rpm (4 min) to separate the plasma and the samples were stored frozen at −20 °C. Prior to blood collection, the animals underwent a fast for 24 h.

Plasma glucose levels were determined enzymatically by glucose oxidase/glucose peroxidase in a BT 3000 apparatus (500 tests h-¹; Wiener Lab, Rosario, Argentina). A cortisol S kit was used for the determination of cortisol in the plasma aliquots with mini VIDAS® equipment and the enzyme-linked fluorescent assay technique. The measured values of cortisol ranged from 2 to 650 ng mL-¹. The observed values of total precision, depending on the serum concentration, ranged from 7.42% to 12.98% (coefficient of variation) (Sena et al. 2016).

Determinations of plasmatic total proteins, aspartate aminotransferase (AST), albumin, creatine, urea and uric acid were performed using Labtest Kits in a semi-automatic biochemical analyser (Doles®, model D-250).

STATISTICAL ANALYSIS

The results are expressed as the mean ± S.E.M. Levene’s test was performed to evaluate the homogeneity of data variances. All parameters studied presented homogenous variances and the data were compared using a one-way ANOVA followed by Tukey’s pair-wise comparisons. Differences were considered significant at P < 0.05.

RESULTS

WATER QUALITY

The water pH differed significantly between treatments (8.90 > 7.24 > 6.00 > 4.56) (P < 0.05). Alkalinity was significantly higher at water pH 8.90 than at other water pH values, and at water pH 7.24 than at water pH 4.56 and 6.00 (P < 0.05). Total ammonia was significantly higher at water pH 4.56 and 6.00 than the other treatments (P < 0.05). Un-ionized ammonia was significantly higher at water pH 8.90 than at other water pH values (P < 0.05). The other water quality variables did not differ significantly between treatments (Table I).

TABLE I
Water quality variables of Amazon catfish (P. reticulatum x L. marmoratus) maintained at different water pH levels.

	pH
Variables	4.56	6.00	7.24	8.90
pH	4.56±0.03d	6.00±0.02c	7.24±0.02b	8.90±0.01a
Dissolved oxygen	7.01±0.18a	7.05±0.14a	6.99±0.08a	7.10±0.11a
Temperature	25.88±0.22a	26.12±0.04a	26.04±0.06a	25.90±0.06a
Hardness	98.33±3.00a	93.33±7.41a	90.83±2.20a	93.33±5.07a
Alkalinity	8.75±3.00c	16.25±1.02c	32.50±1.44b	101.70±3.00a
Total ammonia	0.73±0.07a	0.57±0.08a	0.32±0.09b	0.33±0.13b
Un-ionised ammonia	0.02±0.00b	0.35±0.03b	3.36±0.35b	124.29±24.36a
Nitrite	0.46±0.12a	0.23±0.07a	0.22±0.07a	0.21±0.08a

• Temperature is expressed as °C, dissolved oxygen is expressed as mg L^-1 O₂, hardness and alkalinity are expressed as mg L^-1 CaCO₃, total ammonia is expressed as mg L^-1 N-NH₃ and un-ionized ammonia is expressed as µg L^-1 N-NH₃. Data are presented as the means ± SEM (n = 3 tanks per treatment). Different letters indicate statistically significant differences between treatments (P < 0.05).

GROWTH PERFORMANCE

The Amazon catfish exposed to water pH 4.56 presented SGR and weight gain significantly higher than other water pH values (P < 0.05). Furthermore, fish exposed to water pH 6.00 presented SGR and weight gain significantly higher than those subjected to water pH 8.90 (P < 0.05) (Fig. 1 and Table II). The Amazon catfish exposed to water pH 8.90 presented final weight and final length significantly lower than those subjected to water pH levels of 4.56 and 6.00 (P < 0.05). The fish exposed to water pH 4.56 had significantly higher condition factor than those subjected to water pH 6.00 and final biomass than those subjected to water pH 7.56 and 8.90 (P < 0.05) (Table II).

Figure 1
Specific growth rate (% day-¹) of Amazon catfish (P. reticulatum x L. marmoratus) maintained at different water pH levels. Data are presented as the means ± SEM (n = 3 tanks per treatment). Different letters indicate statistically significant differences between treatments (P < 0.05).

TABLE II
Growth performance of Amazon catfish (P. reticulatum x L. marmoratus) maintained at different water pH levels.

	pH
Variables	4.56	6.00	7.24	8.90
FW	145.67±3.28a	139.00±1.53a	127.00±2.52ab	115.30±7.63b
FL	26.60±0.42a	26.73±0.13a	25.41±0.12ab	24.73±0.58b
WG	55.2±3.28a	42.19±1.53b	30.19±2.52bc	18.54±7.56c
FB	912.0±17.06a	787.33±38.55abc	720.67±44.84bc	692.00±39.64c
CF	0.83±0.05a	0.73±0.01b	0.77±0.01ab	0.76±0.02ab
S	100.0±0.00a	94.44±5.56a	94.44±5.56a	100.0±0.00a

• FW (final weight), WG (weight gain) and FB (final biomass) are expressed in g, FL (final length) is expressed in cm, CF (condition factor) is expressed as g cm^-3*100 and, survival is expressed as %. Data are presented as the means ± SEM (n = 3 tanks per treatment). Different letters indicate statistically significant differences between treatments (P < 0.05).

BIOCHEMICAL VARIABLES

Plasma cortisol levels were significantly higher in fish subjected to water pH 4.56 in relation to those subjected to water pH levels of 7.24 and 8.90 (P < 0.05). Plasma total protein levels were significantly higher in Amazon catfish exposed to water pH 4.56 than to other treatments (P < 0.05). Plasma glucose levels were significantly higher in juveniles at water pH levels of 4.56 and 7.24 than at other values, and at water pH 6.00 than at water pH 8.90 (P < 0.05). Plasma urea levels were significantly higher in the fish exposed to water pH 7.24 than to other water pH values, and to water pH 4.56 than to water pH levels of 6.00 and 8.90 (P < 0.05). Plasma AST levels were significantly higher in juveniles subjected to water pH levels of 7.24 and 8.90 in comparison those subjected to water pH 4.56 (P < 0.05). The other biochemical variables did not differ significantly between treatments (Table III).

TABLE III
Biochemical variables of Amazon catfish (P. reticulatum x L. marmoratus) maintained at different water pH levels.

	pH
Variables	4.56	6.00	7.24	8.90
Cortisol	95.31±9.12a	78.43±12.75ab	56.27±9.43b	57.07±7.51b
Total protein	4.1±0.08a	3.7±0.07b	3.6±0.05b	3.5±0.12b
Glucose	97.43±3.33a	85.14±1.34b	99.43±4.01a	72.00±1.47c
Urea	4.53±0.18b	3.26±0.18c	5.61±0.22a	3.45±0.19c
AST	44.33±4.47b	67.44±6.68ab	79.00±7.72a	73.89±7.73a
Albumin	0.73±0.02a	0.64±0.03a	0.61±0.02a	0.57±0.02a
Creatine	0.20±0.00a	0.20±0.00a	0.21±0.01a	0.21±0.01a
Uric acid	0.11±0.01a	0.15±0.02a	0.13±0.02a	0.11±0.02a

• Cortisol is expressed as ng mL^-1, total protein and albumin are expressed as g dL^-1, glucose, urea, creatine and uric acid are expressed as mg dL^-1 and, AST is expressed as U L^-1. Data are presented as the means ± SEM (n = 12 fish per treatment). Different letters indicate statistically significant differences between treatments (P < 0.05).

DISCUSSION

WATER QUALITY

Water quality variables (except alkalinity and un-ionized ammonia) of the present study were within the limits established for cachara (Pseudoplatystoma reticulatum) (Campos 2010) and silver catfish (Rhamdia quelen) (Baldisserotto 2013), species whose genus is the same as the parental species of the hybrid Amazon catfish. The results obtained for dissolved oxygen, total ammonia and temperature were similar to values previously reported with Amazon catfish juveniles (Fortes-Silva et al. 2017). In general, response in Amazon catfish at low pH demonstrates that this species is extremely tolerant to acidic conditions common in Amazonian waters. Similar observations were observed with tambaqui (Aride et al. 2007, Wood et al. 2017), another Amazon species.

Alkalinity is one of the main variables of water quality due to its behavior as buffer, avoiding high fluctuations of water pH levels (Boyd et al. 2016). Alkalinity values below 30 mg L-¹ CaCO₃ can lead to disturbances in the acid–base balance of fish (Bhatnagar and Devi 2013), which could compromise their growth and welfare. As expected, in the present study, lower values of water alkalinity were observed in treatments with acidic water pH (Boyd et al. 2016).

The production of nitrogenous residues in fish arises from the catabolism of amino acids, which are excreted by the gills (Wood 1993). This excretion is made through the Rhesus glycoproteins present in the gills, which are located in the basolateral and apical membranes (Wright and Wood 2012). If water un-ionized ammonia levels are high, its concentration in plasma and fish tissue also increases (Wright et al. 2007). This elevation is potentiated in alkaline water because the ammonia excretion is reduced due to the lower concentration of H+ ions in the water that react with NH₃ and convert it into NH₄+ (Wright and Wood 2012).

In addition, in the present study, the values of un-ionized ammonia observed at water pH 8.90 were higher than those recommended for aquaculture (Baldisserotto 2013, Baldisserotto et al. 2014), which may lead to osmoregulatory alterations, compromising fish physiology and survival (Bolner et al. 2014), as well as decreases in feed intake, metabolism and growth (Foss et al. 2009, Paust et al. 2011). Internal ammonia builds up might be a particular problem for Amazonian fish because they are generally more sensitive to ammonia toxicity than species from other regions, perhaps because they evolved in generally acidic waters, where NH₃ concentrations would be low (Souza-Bastos et al. 2016). Nevertheless, the values of un-ionized ammonia found in our study remained below lethal levels (< 500 mg L-¹ NH₃) described for silver catfish at water pH 7.57 (Baldisserotto et al. 2014).

GROWTH PERFORMANCE

Exposure to extreme water pH levels may limit growth performance and, in some cases, cause mortality in fish (White et al. 2014). However, in our study, no mortality occurred in Amazon catfish subjected to extreme water pH values (4.56 and 8.90), demonstrating their ability to tolerate acid or alkaline waters.

In addition, it was found that alkaline water decreased growth of juveniles, which may be related to the high values of un-ionized ammonia recorded for this water pH. According to Wood et al. (2017), more ammonia being released by deamination of amino acids associated with oxidation of their carbon skeletons in aerobic metabolism can trigger negative growth because the increased metabolic cost, as verified in this study. Similar results were observed in tambaqui (Colossoma macropomum) and in silver catfish, where the growth performance was lower in fish subjected to alkaline water (water pH 8.0) compared to acidic water (water pH 4.0 and 6.0) (Aride et al. 2007, Copatti et al. 2011).

On the other hand, the best growth performance of juveniles in acidic water can be explained by lower levels of un-ionized ammonia (at pH 4.56), or by a better capacity of physiological adjustment (at water pH 6.00), which could support the cultivation of Amazon catfish in regions where water pH is acidic. Our findings are surprising because they differ from the usual knowledge for the cultivation of teleost fishes. However, similar results have already been verified in previous studies with tambaqui (Aride et al. 2007, Wood et al. 2017), where the absence of increased N-loss (as ammonia) at pH 4.0 may explain why Amazon species can sustain high growth rates under acidic conditions.

BIOCHEMICAL VARIABLES

Alterations of plasma cortisol levels provide fundamental responses on the physiological status of fish (Wendelaar Bonga 1997). The increase of plasma cortisol levels may stimulate hepatic glycogenolysis to provide energy to tissues in stressful situations (Vinodhini and Narayanan 2009). Plasma total protein is related to the maintenance of osmotic pressure and acid-base balance of fish, and its elevation reflects ionic disturbances and osmotic changes of plasma fluid (Milligan and Wood 1982).

The increase of plasma cortisol and total protein levels in Amazon catfish exposed to water pH 4.56 observed in the present study may be an adaptive protective mechanism against the evident effects of ionoregulation and acid–base balance disorders due to the increase in the concentrations of H+ ions in water (Wood 1989). The chronic activation of the stress system due to high plasma cortisol levels induces a tertiary stress response accompanied by a decreased growth rate (Wendelaar Bonga 1997). However, in this study, no growth reduction was observed in Amazon catfish subjected to water pH 4.56 over 40 days, which may demonstrate their ability to make physiological adjustments to avoid the effects of tertiary stress. Additionally, the elevation of plasma cortisol levels of the fish exposed to water pH 4.56 could explain the increase of plasma glucose levels at this water pH, which is often a secondary stress response resulting from the elevation of plasma cortisol levels and has the function of providing energy to the tissues (Wiseman et al. 2007).

Nevertheless, the increase of plasma glucose levels is not always related to the increase of plasma cortisol levels (Wendelaar Bonga 1997), as observed in this study for fish exposed to water pH 7.24. On the other hand, the increase of plasma glucose levels at water pH 7.24 may be related to the elevation of plasma urea levels, which was also observed for the fish in water pH 4.56. Increasing urea synthesis is a strategy to reduce the toxicity of ammonia in fish (Kajimura et al. 2004). In addition, urea production does not reflect direct oxidative deamination of amino acids and, consequently, does not reflect increased metabolic cost (Wood 1993, Wood et al. 2017).

Finally, the reduction of plasma glucose levels in Amazon catfish exposed to water pH 8.90 may be an adaptive energy-saving strategy (Das et al. 2004), in view of the high concentrations of un-ionized ammonia commonly found in alkaline water, which can diffuse easily through the gill epithelium (Wright et al. 2007). In other words, it is an attempt by fish to reduce catabolism and, consequently, the concentration of nitrogen compounds, which, in turn, probably compromised the growth performance of Amazon catfish subjected to alkaline water in our study. A similar result has been observed in silver catfish, where hepatic, muscular and renal glucose were reduced in fish exposed at alkaline water (pH 10.0) in comparison to acidic water (pH 3.0) (Bolner et al. 2014). So, the lower growth performance in fish at alkaline water pH could not be attributed to stress (Wood et al. 2017), since plasma glucose and cortisol levels did not raise (or increase) as demonstrated in this study.

The evaluation of plasma AST has been used to verify fish responses under stress conditions (Chien et al. 2003), and its elevation may reflect a metabolic impairment of the liver and/or skeletal muscle (Lemaire et al. 1991). The increase of plasma AST levels in juveniles subjected to pH levels of 7.24 and 8.90 in this study was probably influenced by the higher concentrations of un-ionized ammonia, which could trigger toxicity and impair hepatic functions. Nevertheless, the plasma AST levels found in this study remained within the baseline described for silver catfish (114 U L-¹) (Borges et al. 2004).

CONCLUSIONS

Exposure to alkaline waters resulted in reduced growth performance and biomass of Amazon catfish, which was probably influenced by the high concentrations of un-ionized ammonia at this pH. In contrast, the best growth rate occurred in acidic waters, mainly in water pH 4.56. Furthermore, we verified that biochemical changes were recorded at water pH levels of 4.56 (plasma cortisol, total protein, glucose and urea), 6.00 (plasma cortisol, glucose and AST), 7.24 (plasma glucose, urea and AST) and 8.90 (plasma AST). Therefore, the production of Amazon catfish at acidic water (pH 4.56) is recommended, since fish presented higher growth and, in general, water quality variables were kept within adequate limits for aquaculture.

ACKNOWLEGMENTS

The authors thank Dr. Rodrigo Fortes-Silva and Bahia Pesca for the supply of fish and the facilities to conduct the research. The first author also thanks Fundação de Amparo à Pesquisa do Estado da Bahia (FAPESB) by the research grant awarded.

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Publication Dates

• Publication in this collection
  18 Oct 2018
• Date of issue
  Oct-Dec 2018

History

• Received
  7 Mar 2018
• Accepted
  23 Apr 2018