The 280 g kg1 dietary protein was supplied by fish meal and soybean pro-tein concentrate, and the remaining by a mixture of crystal-line amino acids CAAs without methionine to simulate an
Trang 1College of Animal Sciences, Zhejiang University, Hangzhou, China
An 8-week feeding trial was conducted to determine the effects
of dietary methionine level on juvenile black sea bream Sparus
macrocephalus Fish (initial body weight: 14.21 ± 0.24 g)
were reared in eighteen 350-L indoors flow-through circular
fibreglass tanks (20 fish per tank) Isoenergetic and
isonitro-genous diets contained six levels of L-methionine ranging from
7.5 to 23.5 g kg)1of dry diet in 3.0 g kg)1 increments at a
constant dietary cystine level of 3.1 g kg)1 Growth
perfor-mance and feed utilization were significantly influenced by
dietary methionine levels (P < 0.05) Maximum weight gain
(WG), specific growth rate (SGR), feed efficiency ratio, protein
efficiency ratio and protein productive value (PPV) occurred at
17.2 g methionine kg)1 diet, beyond which they showed
declining tendency Protein contents in whole fish body and
dorsal muscle were positively correlated with dietary
methio-nine level, while muscle lipid content was negatively correlated
with it Apparent digestibility coefficients (ADCs) of dietary
nutrients were significantly affected by dietary treatments
except for ADCs of crude lipid Fish fed the grade level of
methionine demonstrated a significant improvement in
whole-body methionine content, total essential amino acids
(PEAA), total non-essential amino acids (PNEAAs) and
P
EAA/P
NEAA ratio (P < 0.05) Regarding serum teristics, significant differences were observed in total choles-
charac-terol, glucose and free methionine concentration (P > 0.05),
while total protein level and triacylglycerol concentration kept
relatively constant among treatments (P < 0.05) Analysis of
dose response with second-order polynomial regression on the
basis of either SGR or PPV, the optimum dietary methionine
requirements of juvenile black sea bream were estimated to
be 17.1 g kg)1of diet (45.0 g kg)1methionine of protein) and
17.2 g kg)1of diet (45.3 g kg)1methionine of protein) in the
presence of 3.1 g kg)1cystine, respectively
Protein, especially when derived from fish meal, is the mostexpensive nutrient in the preparation of diets for aquaticorganisms (El-Saidy & Gaber 2002) Therefore, it is important
to incorporate inexpensive protein ingredients in theformulation of fish feed by taking care of essential amino acids(EAA) balances (Kaushik et al 2004; Azaza et al 2008;Martı´nez-Llorens et al 2009; Sardar et al 2009) Lysine andmethionine are the most limiting amino acids in feed ingredi-ents used in diets for fish, especially, when plant protein sourcesare used to replace fish meal (Abimorad et al 2009; Sardar
et al.2009) Methionine is known as a precursor of choline andvarious other metabolic processes (Ruchimat et al 1997;Kasper et al 2000) As cystine can only be synthesized from amethionine precursor, a portion of the methionine require-ment can be spared by cystine in some fish species (approxi-mately 40–60%) (Moon & Gatlin 1991; Kim et al 1992; Griffin
et al.1994; Goff & Gatlin 2004) Therefore, the requirementfor total sulphur amino acids (TSAA) can be met by eithermethionine alone or the proper mixture of methionine andcystine (Moon & Gatlin 1991) So it is important to considerthe dietary cystine content to quantify the methioninerequirement of the cultured species for maximum growth andefficient feed utilization (Luo et al 2005) In a previous study,
we have evaluated the optimal dietary lysine requirement forblack sea bream (Sparus macrocephalus) (Zhou et al 2010a).However, so far, the quantitative dietary requirement formethionine is still unknown for this fish species
Black sea bream is a valuable commercial fish speciescultured in China, Japan, Korean and some other countries
of Southeast Asia (Nip et al 2003; Gonzalez et al 2008) It is
.
2011 17; 469–481
. doi: 10.1111/j.1365-2095.2010.00823.x
Aquaculture Nutrition
Trang 2highly appreciated as an excellent aquaculture species for
intensive culture because of its resistance to diseases, ability
to tolerate a wide range of environmental conditions, high
stocking densities and relative fast growth rate under
inten-sive culture and good quality meat (Hong & Zhang 2003;
Shao et al 2008) However, trash fish was used for cultured
black sea bream in China, which could not meet the
nutri-tional requirements, and was difficult to store and easy to
pollute aquaculture environment Thus, the formulation of a
nutritionally adequate and cost-effective feed is most
important for successful and sustainable culture of this fish
species Up to now, a few studies have been conducted on the
nutrient requirements of black sea bream (Ma et al 2008;
Shao et al 2008; Zhou et al 2010a,b; Zhang et al 2010) The
purpose of this study was to quantify the dietary methionine
requirement at a constant dietary cystine level for black sea
bream juveniles
Ingredients and proximate composition of the experimental
diets are presented in Table 1, amino acid compositions
(g kg)1dry diet, L-form) of dietary ingredients in Table 2
and the analysed EAA contents for each diet are given in
Table 3 Six diets were maintained isonitrogenous by
decreasing the levels of glutamic acids as the methionine level
was increased Experimental diets contained 380 g kg)1
crude protein, which was slightly lower than the optimum
protein requirement suggested in our preliminary experiment
(410 g kg)1, Zhang et al 2010) to ensure the maximum
uti-lization of methionine for growth and limited catabolism for
energy (Wang et al 2005; Luo et al 2005) The 280 g kg)1
dietary protein was supplied by fish meal and soybean
pro-tein concentrate, and the remaining by a mixture of
crystal-line amino acids (CAAs) without methionine to simulate an
amino acid profile found in 380 g kg)1whole-body protein of
black sea bream The basal diet (diet 1) contained the
mini-mum level of methionine from fish meal and soybean protein
concentrate The final levels of methionine were confirmed by
amino acid analysis, and the values were 7.5, 10.9, 14.1, 17.2,
20.6 and 23.5 g kg)1, respectively, by adding incremental
levels of crystalline methionine ranging from 0 to 15 g
methionine kg)1diet (Table 3)
The CAAs were coated by carboxymethylcellulose (CMC)
and j-carrageenan as described by Wang et al (2005) In
preparing experimental diets, all dry ingredients as well as
coating CAA mixture were finely ground, weighed, mixed
manually for 5 min and then transferred to a food mixer foranother 15 min mixing Chromic oxide (Cr2O3), which wasused as external indicator for digestibility determination,was dissolved in 100 mL of distilled water (about 40%, v/w)and sprayed with an atomizer on the mash during mixing,then fish oil and corn oil were added slowly while mixing
During mixing, 6 N NaOH was added to establish a pHlevel of 7–8 (Wilson et al 1977) Distilled water was added
to achieve a proper consistency, and the mixture was furtherhomogenized and extruded through a 3-mm die by foodprocessor (Modle L-2730026; EHSY, Co., Shanghai, China)
The noodle-like diets were dried at 23C for 72 h with aircondition and electrical fan Dried noodles were broken intoparticles, sieved to remove particles above 2 mm and thenstored in a refrigerator at )20 C A representative samplewas taken for proximate analysis (Table 1)
Black sea bream were obtained from Marine Fisheries search Institute of Zhejiang province in Zhoushan, China
Re-Prior to initiation of the feeding trial, all fish were kept in800-L circular fiberglass tanks and fed with diet 1 for
2 weeks At the beginning of the experiment, 20 sized and healthy fish (initial mean weight: 14.21 ± 0.24 g,mean ± SD, n = 360) in good health and condition werestocked in each fiberglass tank (350-L water volume) Eachexperimental diet was randomly assigned to triplicate tanks
uniform-in a completely randomized design Each flow-through tankwas supplied with sand-filtered aerated seawater at a flowingrate of 2 L min)1 Fish were maintained under a naturalphotoperiod, and the temperature, ammonia-nitrogen andsalinity of the seawater in tanks were 28 ± 1C, 0.02–
0.04 mg L)1and 29 g L)1, respectively pH was 8.1–8.3, anddissolved oxygen concentrations were above 5.0 mg L)1atany point during the experiment by using air stones withcontinuous aeration Experimental fish were fed by handtwice daily (0800 h and 1600 h), which were fed slowly little
by little to prevent waste of feeds When the experimentalfeeds were supplied, the fish would swim to the water surface
to ingest the feeds As long as fish were fed to satiation, theywould never come up to water surface again Hence, theirapparent satiation could be judged by feeding behaviourobservation, and the feed losses could also be avoided almostcompletely The experiment lasted for 8 weeks and feedconsumption was recorded daily Tanks were thoroughlycleaned as needed and mortality was checked daily
Faeces were collected using a faecal collection columnsimilar to the one described by Cho & Kaushik (1990) All
.
Aquaculture Nutrition 17; 469–481 2010 Blackwell Publishing Ltd
Trang 3Table 2 Amino acid composition
(g kg)1 diet) of dietary ingredients for
experimental diets (excluding
trypto-phan)
Amino acids
Supplied by 280g fish meal kg)1diet
Supplied by 120 g soybean protein concentrate kg)1diet
Supplied by crystalline amino acids Total
380 g kg)1whole-body protein EAAs
EAAs, essential amino acids; NEAAs, non-essential amino acids.
Table 1 Composition and proximate
analysis of experimental diets (g kg)1
2 Vitamin premix (mg kg)1diet): retinyl acetate, 40; cholecalciferol, 0.1; DL -a-tocopheryl acetate, 80; menadione, 15; niacin, 165; riboflavin, 22; pyridoxine HCl, 40; thiamin mononitrate, 45; D -Ca pantothenate, 102, folic acid, 10; vitamin B-12, 0.9; inositol, 450; ascorbic acid, 150; Na mena- dione bisulphate, 5; thiamin, 5; choline chloride, 320 and p-aminobenzoic acid, 50.
3 Others (%): a-starch, 180; sodium dihydrogen phosphate, 25; j-carrageenan, 25; a-cellulose, 54;
Cr 2 O 3 , 5.
4 Values for the proximate analysis of the test diets are means of triplicate analyses.
.
Trang 4possible care was taken during feeding so that feed losses
could be avoided almost completely Two hours after the
final feeding of the day, the drain pipe and faecal collection
columns were thoroughly cleaned with a brush to remove the
residual feed and faeces from the system Faeces were then
allowed to settle overnight, and faecal samples were collected
at 06:00 each morning before the next feeding Faeces
col-lected from the settling columns were immediately filtered
with filter papers to separate other materials such as dirt
particles and then stored at )20 C for chemical analysis
Faeces from the same tank were pooled over the sampling
period to provide sufficient faecal matter for analysis
Ten fish at the start of the feeding trial were sampled and
stored frozen ()20 C) for the analysis of proximate carcass
composition At the termination of the 8-week experiment,
approximately 24 h after the last feeding, all fish were
counted and individually weighed Three fish from each tank
were anesthetized (MS-222, Sigma, St Louis, MO, USA at
80 mg L)1) and then stored at)20 C for subsequent
whole-body proximate analysis Blood samples were drawn from
the caudal vein of five fish per tank with a 27-gauge needle
and 1- mL syringe Blood samples were immediately
centri-fuged at 836 g for 10 min (4C) to obtain serum to measure
nutrient levels (Ai et al 2006), and serum was stored at
)20 C until use Dorsal muscles were obtained from all the
remaining fish in each tank and stored at )20 C for
sub-sequent proximate analysis
Pooled fish samples (including whole body, dorsal muscle,
serum and faeces) in each tank were analysed in triplicate for
proximate composition Moisture, ash, crude protein and
crude lipid were determined following methods of the
Asso-ciation of Official Analytical Chemists (AOAC 1995)
Moisture concentration was determined by drying mincedsamples for 6 h in a forced-air oven maintained at 105C
Ash content was analysed by incinerating samples at 600Cfor 24 h in a muffle furnace Crude protein was estimated asKjeldahl-nitrogen using factor 6.25, and crude lipid wasdetermined by Soxhlet extraction with petroleum ether for
6 h The concentrations of total protein, total cholesterol,triacylglycerol and glucose in the serum of juvenile black seabream were all measured within 3 days, using the DiagnosticReagent Kit purchased from Nanjing Jiancheng Bioengi-neering Institute (Nanjing, Jiangsu Province, China)according to the manufacturers instructions Faecal sampleswere oven dried at 105C to a constant weight for thedetermination of dry matter Then the dried samples werefinely ground with a mechanical mortar and pestle and sievedusing a 1-mm screen prior Chromic oxide (Cr2O3) content indiets and faeces was determined by the method of Furukawa
& Tsukahara (1966) Gross energy in feeds and faeces wasdetermined by Automatic Isoperibol Calorimeter (Modle6300; Parr Instrument Company, Moline, IL, USA) in thelaboratory in the Institute of Feed Science, Zhejiang Uni-versity
The amino acid compositions of all samples includingingredients, diets, whole fish body and serum were analysedfollowing acid hydrolysis using an automatic amino acidanalyser (Hitachi 835-50, Tokyo, Japan) with a column(Hitachi custom ion exchange resin no 2619) in the labora-tory in Institute of Feed Science, Zhejiang University Inbrief, performic acid oxidation was performed prior tohydrolysis to oxidize methionine at)10 C for 3 h to obtainmethionine sulfone Then sodium metabisulfite was added todecompose surplus performic acid Subsequently, amino acidwas liberated from protein by hydrolysis with 6 N HCl for
24 h Hydrolysed samples were diluted with sodium citratebuffer, pH was adjusted to 2.2 and individual amino acidcomponents were separated by ion exchange chromatogra-phy Cystine content in diets was determined from the sameacid hydrolysate after treatment with dithiothreitol and so-dium tetrathionate (Inglis & Liu 1970) Tryptophan couldnot be detected after acid hydrolysis and it was excludedfrom analysis at the present experiment
All data were subjected to the analysis of variance and relation analysis when appropriate using the software ofSPSS
cor-for Windows (ver16.0; Chicago, IL, USA) Differencesbetween the means were tested by Tukeys multiple range test
Differences were considered significant at P < 0.05
Broken-Table 3 Analysed essential amino acid (excluding tryptophan)
con-tents in the experimental diets
Trang 5line regression analysis was performed on specific growth rate
(SGR) and protein productive value (PPV) to establish the
dietary requirement of methionine for black sea bream The
equation used in the model is Y = L + U (R) X), where Y
is the parameter (SGR or PPV) chosen to estimate the
requirement, L is the ordinate and R is the abscissa of the
breakpoint R is taken as the estimated requirement and U is
the slope of the line for X (Robbins et al 1979)
Growth performance, body-organ indices and feed utilization
for juvenile black sea bream given graded levels of methionine
for 8 weeks are shown in Table 4 Survival was the highest for
fish fed the diet containing 17.2 g kg)1 methionine and
showed no significant difference among dietary treatments,
and no other nutritional deficiency signs were observed in
black sea bream fed methionine-deficient diets Mean feed
intake was significantly lower in fish fed 7.5 g methionine kg)1
diet than those of fish fed 14.1 and 17.2 g methionine kg)1
diets, and the values were insignificantly different among the
other groups (P > 0.05) WG and SGR increased with dietary
increasing methionine level up to 17.2 g kg)1, but further
additions of methionine decreased grow rate of black sea
bream Fish fed diet 1 showed the lowest feed efficiency ratio
(FER) (0.78), protein efficiency ratio (PER) (2.10), nitrogen
gain (1.05) and PPV (0.35), and those indices of fish were
significantly improved by methionine supplementation
(P < 0.05), although there were different decline extent for fishfed excessive methionine level diets The highest FER (0.89),PER (2.35) and PPV (0.43) were recorded in the fish fed dietcontaining 17.2 g kg)1 methionine Hepatosomatic index(HSI) was higher in fish fed 23.5 g methionine kg)1diet thanthat of in fish fed diet without methionine supplement, butdifferences among the other treatments were not significant(P > 0.05) Increasing dietary methionine level decreasedcondition factor (CF) values although there was no significantdifference (P > 0.05)
Based on SGR, the optimum requirement of dietarymethionine was estimated to be 17.1 g kg)1 of diet (45.0
g kg)1 of protein) using break-point regression methodanalysis (Fig 1) When PPV was plotted against dietarymethionine, the optimum dietary methionine requirementwas 17.2 g kg)1of diet (45.3 g kg)1of protein) (Fig 2) Be-cause the experimental diets contained 3.1 g kg)1of cystine,the corresponding requirements of this fish for TSAA(Met + Cys, TSAA) were calculated to be 21.1 g kg)1 ofdiet (53.2 g kg)1 of dietary protein) and 21.5 g kg)1 of diet(56.6 g kg)1of dietary protein), respectively
The effects of graded levels of dietary methionine onwhole-body and dorsal muscle composition were described inTable 5 Protein content of whole body showed an increasingtrend with increasing dietary methionine levels (P < 0.05),but there was a slight decline for fish fed the diets over17.2 g kg)1 methionine No significant differences wereobserved in body lipid, ash or moisture among the dietary
Table 4 Growth performance, body-organ indices and feed utilization of black sea bream juvenile fed the diets with graded levels of methionine for 8 weeks
Diets (methionine level, g kg)1) Diet 1 (7.5) Diet 2 (10.9) Diet 3 (14.1) Diet 4 (17.2) Diet 5 (20.6) Diet 6 (23.5)
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Trang 6treatments (P > 0.05) Muscle protein content was positively
correlated with dietary methionine level, while lipid content
was negatively correlated with it Ash and moisture contents
were more variable and could not be related to dietarytreatments (P > 0.05)
Data on nutrients digestibility of black sea bream fed thedifferent experimental diets are presented in Table 6 Fish fedthe 17.2 g methionine kg)1diet had higher apparent digest-ibility coefficients (ADCs) of dry matter than that of fish fedthe 7.5 g methionine kg)1diet (P < 0.05), but no significantdifferences were found among fish fed the other diets ADCs
of crude protein was lower in fish fed the diet withoutmethionine supplement (P < 0.05), while the values in therest groups were very stable (P > 0.05) ADCs of gross en-ergy increased significantly with increasing methionine level
up to 17.2 g methionine kg)1diet and then decreased slightly(P < 0.05) However, ADCs of crude lipid were unaffected
by dietary treatments (P > 0.05)
Increasing dietary methionine level increased EAA andnon-essential amino acids (NEAA) contents of whole fishbody, and theP
EAA/PNEAA ratio was also increasedsignificantly (P < 0.05) (Table 7), and the values peaked atfish fed 23.5, 20.6 and 23.5 g methionine kg)1diets, respec-tively The contents of Val, Leu and Ile in different groupswere very stable (P > 0.05); however, the levels of rest EAAs
in whole body showed increasing tendency (P < 0.05) withincreasing dietary methionine level Body methionine con-centration increased significantly with dietary methioninelevels from 7.5 to 20.6 g kg)1, but kept relatively constantthereafter (P > 0.05)
In serum profile, total cholesterol concentration washighest in fish fed 7.5 g methionine kg)1diet (P < 0.05), butshowed no significant differences for fish fed other diets(Table 8) Fish supplied with 7.5 and 23.5 g methionine kg)1diets showed higher glucose content (P < 0.05), compared tothat of fish fed the diets containing 10.9 and 20.6 g kg)1methionine Serum free methionine concentration signifi-
Figure 1 The relationship between weight gain (SGR, %/day, y) and
dietary methionine levels (g kg)1, x) of juvenile black sea bream fed
with the experimental diets for 8 weeks SGR, specific growth rate.
Figure 2 The relationship between protein productive value (PPV, y)
and dietary methionine levels (g kg)1, x) of juvenile black sea bream
fed with the experimental diets for 8 weeks.
Table 5 Effect of dietary methionine level on proximate compositions of whole body and muscle of juvenile black sea bream (% on wet matter
basis)
Diets (methionine level, g kg)1)
Diet 1 (0.75) Diet 2 (10.9) Diet 3 (14.1) Diet 4 (17.2) Diet 5 (20.6) Diet 6 (23.5)
Trang 7cantly increased with increasing dietary methionine levels
(P < 0.05) although there was no statistical difference for fish
fed 20.6 and 23.5 g methionine kg)1diets (P > 0.05) Serum
total protein content (ranging from 27.68 to 32.80 g L)1)
showed an insignificantly increasing trend with increasing
methionine level, while triacylglycerol concentration
de-creased from 5.47 to 3.93 mmol L)1, and no significant
dif-ferences were observed among treatments (P > 0.05)
Dose–response experiments with increasing supply of amino
acid are accepted in principle as a method for determining
dietary amino acid requirements (Cowey 1995), and themodel used to analyse the dose–response relationship willinfluence the estimate of requirements Because the SGRresponse of fish in the current study was linear, a broken-linemodel resulted in the lowest error term for estimating therequirement appeared to give a more precise empirical figure
In previous studies, some researchers have demonstrated thatcystine could spare dietary methionine portion about 60% inchannel catfish (Harding et al 1977), 51% in yellow perch(Twibell et al 2000), 50% in red drum (Moon & Gatlin 1991;Goff & Gatlin 2004), 42% in rainbow trout (Kim et al 1992)and 40% in hybrid striped bass (Griffin et al 1994); thepresence of dietary cystine reduces the amount of methionine
Table 7 Effect of dietary methionine levels on amino acid contents of whole body (g kg)1on a dry matter basis) in juvenile black sea bream fed for 8 weeks
Diets (methionine level, g kg)1) Diet 1 (7.5) Diet 2 (10.9) Diet 3 (14.1) Diet 4 (17.2) Diet 5 (20.6) Diet 6 (23.5) EAA
EAA 27.34 ± 0.06 d 27.60 ± 0.15 cd 28.01 ± 0.26 c 28.46 ± 0.21 b 28.78 ± 0.11 ab 29.05 ± 0.06 a P
NEAA 28.99 ± 0.08 d 29.26 ± 0.27 cd 29.54 ± 0.15 c 29.62 ± 0.10 bc 30.08 ± 0.19 a 29.83 ± 0.04 ab P
EAA/ P
NEAA 0.94 ± 0.09 c 0.94 ± 0.01 c 0.95 ± 0.01 bc 0.96 ± 0.02 ab 0.96 ± 0.01 a 0.97 ± 0.01 a Values are presented as mean ± SD (n = 3); values with different superscripts in the same row differ significantly (P < 0.05).
EAA, essential amino acids; NEAA, non-essential amino acids; P
EAA, total essential amino acids; P
NEAA, total essential amino acids.
Table 6 Effect of dietary methionine level on apparent digestibility coefficients (ADCs) of main nutrients in diets for juvenile black sea bream for 8 weeks
Diets (methionine level, g kg)1) Diet 1 (7.5) Diet 2 (10.9) Diet 3 (14.1) Diet 4 (17.2) Diet 5 (20.6) Diet 6 (23.5) Dry matter 85.17 ± 1.24 b 87.86 ± 1.29 ab 88.18 ± 1.68 ab 90.21 ± 0.77 a 88.04 ± 0.54 ab 87.47 ± 1.39 ab Protein 95.32 ± 0.50 b 97.15 ± 0.42 a 96.65 ± 0.48 a 97.30 ± 0.63 a 96.78 ± 0.22 a 96.63 ± 0.35 a
Gross energy 88.17 ± 0.40 c 89.12 ± 0.43b c 90.29 ± 0.30 b 91.83 ± 0.21 a 91.45 ± 0.72 ab 90.19 ± 0.53 b ADC of dry matter (%) = 100 · [1 ) (dietary Cr 2 O 3 )/faecal Cr 2 O 3 ].
ADCs of nutrients or energy (%) = 100 · [1 ) (F/D ) DY/FY)], where F is the per cent of nutrients or energy in faeces, D is the per cent of nutrients or energy in diet, DY is the per cent of Cr 2 O 3 in diet and FY is the per cent of Cr 2 O 3 in faeces.
Values are presented as mean ± SD (n = 3); means with different superscript letters in the same row differ significantly (P < 0.05).
.
Trang 8required for maximum growth Thus, Wilson & Halver
(1986) suggested that fish have a TSAA (Met + Cys)
requirement rather than a specific methionine requirement
Methionine or total sulphur amino acids requirements have
been reported varying from 22.0 to 65.0 g kg)1 of dietary
protein in different fish species (De Silva & Anderson 1995)
In the present study, the TSAA requirement of juvenile black
sea bream was determined to be 53.2 g kg)1of dietary
pro-tein (in the presence of dietary 3.1 g kg)1cystine) based on
growth performance This value was higher than that
re-ported for some commercially important finfish species,
namely, milkfish (43.7 g kg)1, Borlongon & Coloso 1993),
Jian carp (42.9 g kg)1, Tang et al 2009), large yellow croaker
(40.2 g kg)1, Mai et al 2006), catla (35.5 g kg)1, Ravi &
Devaraj 1991), yellowtail (32.8 g kg)1, Ruchimat et al 1997),
grouper (32.3 g kg)1, Luo et al 2005), African catfish
(32 g kg)1, Fagbenro et al 1998), Japanese flounder
(31 g kg)1, Alam et al 2000) and yellow perch (30 g kg)1,
Twibell et al 2000) But, the requirement of black sea bream
is nearer to Indian major carp (55.0 g kg)1, Ahmed et al
2003) and rohu (55.8 g kg)1, Khan & Jafri 1993) The wide
variation observed in the methionine requirement among
species may be because of fish size, age, laboratory condition
including feeding regime, feed allowance, water temperature,
stock density and ingredients used for basal diet such as zein,
casein, gelatin, gluten, soybean meal, fishmeal and CAAs in
various combinations (Tacon & Cowey 1985; Rodehutscord
et al.1997; Forster & Dominy 2006; Nguyen & Davis 2009b)
In the current work, higher levels of cystine were not tested
so that it is not apparent whether this dietary level of cystine
is adequate, and it could also be a possible reason for the
relatively higher methionine requirement in this study
However, in the study of rainbow trout, Walton et al (1982)
observed similar growth performance of fish fed diets with or
without cystine provided that the level of methionine was
adjusted to meet the requirement level Because a portion of
dietary methionine is converted to cystine the presence of
dietary cystine reduces the amount of methionine required
for maximum growth The replacement value of cystine formethionine and the use of methionine to provide for the totalsulphur amino acid requirement of black sea bream should
be further evaluated
Amino acid balance in diets is necessary for optimalgrowth of fish (Wilson & Halver 1986), and most authorsreported that fish fed dietary increasing methionine showedtwo different growth pattern: (i) increased with increasingdietary methionine and then remained constant when dietarymethionine is higher than requirement (Ruchimat et al 1997;
Coloso et al 1999; Alam et al 2001; Luo et al 2005; Nguyen
& Davis 2009a) (ii) increased with increasing dietary onine level and then decreased significantly when dietarymethionine is higher than requirement (Murthy & Varghese1998; Mai et al 2006; Yan et al 2007) A few studiesreported that none of the fish fed the test diets containingincreased methionine showed a significant difference ingrowth (Sveier et al 2001; Espe et al 2008) In the presentstudy, the growth response black sea bream fed increasingmethionine diets is in accordance with the second pattern
methi-Reduction in the growth rate in fish fed diets with ous level of TSAA may be because of toxic effects (Choo
superflu-et al.1991), and excess amount of total sulphur amino acid infish body would lead to extra energy expenditure towardsdeamination and excretion (Walton 1985; Murthy & Var-ghese 1998; Sveier et al 2001)
FER obtained in the present study ranged from 0.78 to 0.89,which exhibited correlation with fish growth and seems satis-factory One possible reason may be that fish were slowly fed
by hand little by little till apparent satiation (visual tion of fish feeding behaviour) and prevent the waste of feeds
observa-On the other hand, generally high FER suggested that blacksea bream is able to utilize CAAs well in diets However, therewas a marked decline in FER when fish fed methionine defi-ciency diet or superfluous methionine diets, indicating that thesupplementing level of methionine should be optimized Feedintake was much lower when fish fed diet methionine-unsup-plemented diets These results are similar to those reported in
Table 8 Determination of serum parameters in juvenile black sea bream, fed with graded levels of methionine for 8 weeks
Diets (methionine level, g kg)1) Diet 1 (7.5) Diet 2 (10.9) Diet 3 (14.1) Diet 4 (17.2) Diet 5 (20.6) Diet 6 (23.5) Total protein (g L)1) 27.68 ± 1.06 30.56 ± 2.16 31.29 ± 1.94 32.79 ± 3.08 30.52 ± 2.10 32.80 ± 1.76
T-CHO (mmol L)1) 9.33 ± 0.70 a 7.27 ± 0.42 b 6.76 ± 0.21 b 6.60 ± 0.11 b 6.61 ± 0.54 b 6.99 ± 0.52 b
GLU (mmol L)1) 9.66 ± 1.37 a 6.52 ± 1.35 b 6.43 ± 1.21 b 6.61 ± 0.58 b 6.39 ± 0.74 b 7.45 ± 0.68 a
Free met (mmol 100 mL)1) 8.22 ± 0.06 e 8.39 ± 0.05 d 8.61 ± 0.07 c 8.79 ± 0.03b c 8.96 ± 0.11 ab 9.14 ± 0.07 a
Values are presented as mean ± SD (n = 3); values with different superscripts in the same row differ significantly (P < 0.05).
T-CHO, total cholesterol; TG, triacylglycerol; GLU, glucose concentration.
.
Aquaculture Nutrition 17; 469–481 2010 Blackwell Publishing Ltd
Trang 9large yellow croaker (Mai et al 2006), Indian major carp
(Ahmed et al 2003) and yellow perch (Twibell et al 2000) In
more recent work, Li et al (2009) reported that methionine
deficiency in aquafeeds may reduce/exhaust reservoirs of
an-tioxidants such as ascorbic acid, glutathione and vitamin E in
various tissues of fish, which may result in irreversible
oxida-tive stress, further aggravating growth retardation and feeding
depression, which could also partly explain the preset results
The present study showed significantly decreased PER at high
dietary methionine It may be because of unbalance amino
acids composition in diets and diverting amino acids into
catabolic rather than anabolic processes (Cowey & Sargent
1979) However, values of nitrogen gain and PPV decreased
insignificantly at higher methionine level diets when compared
with fish fed optimal methionine level diet Similar results were
observed in some previous studies (Ruchimat et al 1997; Luo
et al.2005; Yan et al 2007) This is to be expected as growth is
largely driven by protein deposition (Sa´ et al 2008) Indeed, it
was concluded that using maximum nitrogen gain as response
criteria results in higher EAAs requirement estimates than
WG in rainbow trout and Atlantic salmon (Rodehutscord
et al.1997; Hauler & Carter 2001; Espe et al 2007) Results
were similar to our observation; the optimal methionine for
PPV was estimated to be 17.2 g kg)1diet (corresponding to
53.2 g kg)1of dietary protein), which was slightly higher than
the optimum requirement for growth in the present study
In Asian sea bass, HSI were unaffected by dietary
methi-onine level (Coloso et al 1999), and in Atlantic salmon, low
methionine intake resulted in a significantly higher liver
weight relative to body weight (Espe et al 2008) However,
HSI was reported to increase with increased dietary
methi-onine up to requirement level and kept constant at higher
methionine levels in yellowtail (Ruchimat et al 1997) and
rockfish (Yan et al 2007), similar in the present study In
addition, Walton et al (1982) pointed out that the
methio-nine/cystine ratio affected HSI, and HSI decreased when
methionine increased with the cystine level was 0.5 g kg)1
diet However, when the cystine level was 20.5 g kg)1,
increasing methionine level resulted in a slight increase in
HSI There were, however, no significant differences
ob-served in CF of black sea bream among dietary treatments
Similar result was also found in Atlantic salmon (Sveier et al
2001) and cobia (Zhou et al 2006), but in contradiction with
the observation in grouper (Luo et al 2005)
Methionine has three major metabolic functions: as an
EAA for protein synthesis; as a sulphur source for synthesis
of other sulphur-containing biochemicals; and as a methyl
donor for methylation reactions (Mehler 1986) In the
pres-ent study, protein contpres-ents in whole body and muscle of
black sea bream both tended to increase with dietarymethionine level up to the requirement level, beyond which itremained nearly unchanged, which is in agreement with otherreports (Kim et al 1992; Ruchimat et al 1997; Alam et al.2000; Luo et al 2005) De la Higuera et al (1997) suggestedprotein synthesis and accretion in fish required all aminoacids present simultaneously at the synthesis sites, or theprocess is impaired or prevented The variational tendency
on protein accretion was also consistent to nitrogen retentionvalues that obtained in the present study Among aminoacids, the branched-chain amino acid leucine is clearly rec-ognized as a most effective nutrient regulator of mRNAtranslation and proteolysis (Kimball & Jefferson 2004; Yo-shizawa 2004; Nakashima et al 2005) However, the role ofmethionine acting a nutrient signal to regulate protein syn-thesis still needs extensive studies It has demonstrated thatthe first step of the initiation of mRNA translation consists
of the binding of initiator Met-tRNAi to the 40S ribosomalsubunit to form the 43S preinitiation complex This initiationstep may be inhibited by methionine deficiency (Me´tayer
et al.2008) With regard to the potential effect of methionine
on intracellular kinases, studies are sparse but indicate thatthis sulphur amino acid may exert a signal function byinducing 70-kDa ribosomal protein S6 kinase (p70S6K)activation in mammals (Shigemitsu et al 1999; Stubbs et al.2002) Similar results have been found in an avian myoblastcell line (QM7) of quail origin (Tesseraud et al 2003), inwhich the methionine or leucine regulates S6K1 phosphory-lation and protein synthesis It seems there may be also aregulation of protein synthesis by methionine in fish; how-ever, the mechanism was not clear and more investigationsare needed to confirm these aspects Lipid content of dorsalmuscle in the present study was higher in fish fed methionine-unsupplemented diet than those of fish fed the high-methio-nine diets, which might be because of better utilization ofprotein with reduced deposition of lipid in the presence ofmethionine resulting lean growth of fish (Sardar et al 2009).The results were consistent with Kim et al (1992) and Sch-warz et al (1998), but in contrast with the study in grouper(Luo et al 2005)
With regard to the effect of methionine levels on dietarynutrients digestibility, studies are sparse Digestibility dataare important to the fish nutritionist because the nutrientscontained in poorly digested ingredients are less available tosupport growth and metabolism (Lin et al 2004) ADCs ofcrude protein in this study were higher than 95.32% andaveraging 96.64%, indicating that all the nitrogen sourcesprovided in the experimental diets were well absorbed andutilized by the juvenile black sea bream It has reported that
.
Trang 10CAAs coated with CMC and j-carrageenan used in diets can
improve the utilization effectiveness by reducing its solubility
in water, and encapsulation or covalent binding may also
help to slow the rate of release of CAAs to transport sites in
the intestinal mucosa of fish (Millamena et al 1996; Alam
et al.2004), thus protecting free amino acids in the gut long
enough to improve their utilization efficiency
(Segovia-Quintero & Reigh 2004) ADCs of crude protein was
significantly higher in black sea bream fed the test diets
supplying methionine when compared to those fed the
con-trol diet, which was consistent with the findings by Espe et al
(2008) and Chi et al (in press) In the present study, ADCs
of gross energy showed a similar tendency among the groups
as the FER; it is according to the result observed in salmon,
in which the reduced feed efficiency was to a large extent
explained by reduced energy and protein digestibility
(Mundheim et al 2004) The ADCs of crude of lipid in all
groups were relatively higher (more than 96.59%) in present
study, and independent of the dietary treatments, the values
compare favourably to data obtained in other sparids
(Santinha et al 1996; Robaina et al 1995; Biswas et al
2007) Nevertheless, it should be noted that extraction of
faeces with petroleum ether does not extract the fatty acids
bound as calcium soaps, and this extraction will therefore to
some extent underestimate the amount of lipids in the faeces
and overestimate lipid digestibility (Santinha et al 1996) In
general, few investigations with effects of methionine
sup-plemented on nutrients digestibility were reported Di- and
tripeptides are absorbed into the enterocytes without any
hydrolysis by microvillous peptidases (Jose et al 1997), and
c-glutamyltransferase (c-GT) is involved in peptide transport
(Griffith & Meister 1980), and in the study with Jian carp,
Tang et al (2009) found that there was significant
improve-ment in intestine and hepatopancreas weight, as well as c-GT
activity by dietary methionine level Also in the study by
Tang et al (2009), methionine was reported to improve
intestinal creatine kinase activity, which plays a role in energy
transfer in tissue Anyhow, it is necessary to conduct further
studies to make clear this aspect
To support the requirement estimated by growth response,
whole fish body EAA contents of experimental black sea
bream were analysed (Table 7) Dietary amino acid profiles
are known to influence the postfeeding levels of free amino
acids in fish tissues, such as plasma, liver, muscle and whole
body (Twibell et al 2000; Zhou et al 2006; Espe et al 2007)
Both the total EAA and NEAA content of whole fish body
showed marked increase with increasing dietary methionine
level, which was similar to other results which have
demon-strated that dietary methionine level affects tissue free amino
acids in fish (Griffin et al 1994; Luo et al 2005) It wasprobably because dietary restriction of one EAA led to anincrease in oxidation of other essential and non-essentialamino acids present at normal levels in the diets (Ronnestad
et al 2000; Ozo´rio et al 2002) Mai et al (2006) suggestedmethionine deficiency in diet could inhibit methionine par-ticipating in protein synthesis and reduce its level in aminoacid pool in tissues; however, in the present study, methio-nine concentration in fish body increased significantly withdietary methionine levels, similar result was also observed ingroup (Luo et al 2005) According to Espe et al (2007), theratio ofP
EAA toP
NEAA was held close to 1 to maximizeamino acid utilization; however, in the present trial, theP
EAA/PNEAA ratio was observed to increase significantlywith dietary methionine level It has been demonstrated thatexcessive intake of one amino acid or disproportionateamounts of one amino acid affect the utilization of the otheramino acids (Choo et al 1991; Coloso et al 1999), but themaximum value of P
EAA/PNEAA ratio in whole fishbody occured in fish fed the highest methionine level diet
The reason for this discrepancy is uncertain, and black seabream might be able to assimilate excess dietary amino acidsinto tissues within a short period
Currently, little information is available on the effect ofdietary methionine on serum characteristics The free aminoacid content in the blood initially reflects the content ofamino acids in the dietary protein following absorption(Yamada et al 1981; Simmons et al 1999), and methioninemay accumulate in blood when the total dietary methioninesupply exceeds the requirement (Mambrini et al 1999) Incorroboration with the present findings, Harding et al
(1977), Schwarz et al (1998) and Zhou et al (2006) allobserved that free methionine concentration in bloodincreased with increasing dietary methionine Plasma orserum methionine levels have been used to confirm dietaryTSAA requirements derived from WG and FER data insome fish species (Harding et al 1977; Griffin et al 1994);
however, Cowey (1995) considers the free amino acids inplasma to be relatively unsuitable for the determination ofamino acid requirements, because no close relationshipexists between intake and concentration in animal tissues
In the current study, serum methionine concentrations werepositively related to the dietary supply; consequently, itcould not be used evaluating methionine requirement forblack sea bream There was an increasing tendency in serumprotein concentration with dietary methionine level, whichwas similar with Luo et al (2005) The observation ofhigher serum cholesterol content for fish fed low-methioninediets compared with high-methionine diets was also
.
Aquaculture Nutrition 17; 469–481 2010 Blackwell Publishing Ltd
Trang 11reported by Yan et al (2007), but inconsistent with Luo
et al (2005) Contrary to the study in cobia (Zhou et al
2006), serum glucose content in black sea bream
signifi-cantly decreased while dietary methionine levels increased;
however, it increased significantly at the maximum dietary
methionine level Ruchimat et al (1997) suggested that
plasma triacylglycerol in yellowtail significantly increased
with dietary methionine levels, while triacylglycerol
con-centrations in serum of black sea bream were more variable
and could not be related to dietary treatments Zhou et al
(2007) pointed out the effects on blood parameters were
more likely because of the nutritional stress of the fish
instead of a specific effect of the deficient amino acid The
mechanism of methionine for those observations was not
clear and needs further investigation
In conclusion, the current results on feeding methionine to
juvenile black sea bream (initial average weight: 14.21 ±
0.24 g) showed the improvement effects on growth
perfor-mance and feed utilization Based on SGR and PPV, the
optimum requirement of dietary methionine for juvenile
black sea bream was estimated to be 17.1 g kg)1 of diet
(45.0 g kg)1methionine of protein) and 17.2 g kg)1 of diet
(45.3 g kg)1 methionine of protein), in the presence of
3.1 g kg)1 of dietary cystine Hence, under the present
experimental conditions, the corresponding TSAA
require-ments of this fish were calculated to be 20.2 g kg)1of diet
(53.2 g kg)1 of dietary protein) and 20.3 g kg)1 of diet
(53.4 g kg)1of dietary protein), respectively The potential
for cystine sparing methionine and regulation mechanisms of
methionine on growth and protein synthesis warrant further
investigation
The study was supported by Oceanic public-beneficial
scien-tific fund (State Oceanic Administration Peoples Republic Of
China, 201005013-08) and Scientific support program for
mariculture and demonstration in the East China Sea (The
Ministry of Science and Technology of the Peoples Republic
Of China, 2011)
We thank the Key Lab of Mariculture and Enhancement
of Zhejiang Province, and China-Norwegian Joint
Labora-tory of Nutrition and Feed for Marine Fish (Zhoushan,
ZheJiang province) for supplying the experimental black sea
bream, allowing us to use the experimental base and their
logistic support during the feeding experiment We also
thank J.Z Xu, Z Sun, Y.J Xu, F.P Yu, G.Y Zhong, W.X
Song and W Xiong for their assistance with caring for the
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Trang 141 2 2 3
1
Department of Basic Sciences, Fisheries Faculty, Canakkale Onsekiz Mart University, Canakkale, Turkey;2 Department of
Aquaculture, Ege University, Fisheries Faculty, Bornova, Izmir, Turkey; 3 Department of Fisheries, Agricultural Faculty,
Atatu¨rk University, Erzurum, Turkey
Dietary mannanoligosaccharide (MOS) from commercial
product, Bio-Mos supplementation, has been examined for
its effects on weight gain and feed conversion of domestic
mammals and birds, but very few studies have evaluated the
responses of aquacultural species to MOS A feeding and
digestibility trial was performed to asses the potential
bene-ficial effect of two levels of Bio-Mos on growth, feed
utili-zation, survival rate and nutrientsÕ digestion of gilthead sea
bream (Sparus aurata) with an initial average weight of
170 g Bio-Mos was added at 2 or 4 g kg)1to a fish meal–
based control diet, and each diet was fed to triplicate groups
of 1-year-old gilthead sea bream After 12 weeks, there were
no differences in survival rate among fish fed experimental
diets (P > 0.05) It was observed that a significant
improv-ability existed for both growth and feed utilization in fish fed
diets supplemented with Bio-Mos (P < 0.05) Body
proxi-mate composition remained unaffected by Bio-Mos
supple-mentation in fish fed experimental diets (P > 0.05) Apparent
digestibility values for protein, carbohydrate and energy were
appreciably affected by the inclusion of two different levels of
Bio-Mos, only lipid digestibility was the exception In
con-clusion, the results of this trial indicate that 2 g kg)1dietary
supplementation with BIO-MOS seem to be most positive for
gilthead sea bream production
prebiotics, sea bream
Received 4 February 2010, accepted 4 August 2010
Correspondence: Nejdet Gultepe, Canakkale Onsekiz Mart University,
Fisheries Faculty, Department of Basic Sciences, 17100 Canakkale, Turkey.
Fish diseases in Turkey are mainly caused by bacterialpathogens, including Edwardsiella tarda, Vibrio anguillarum,Vibrio alginolyticus, etc (Tanrikul 2006) Antibiotics areheavily used for therapy or prophylactic reasons However,the use of antibiotics used in fish farming is restricted inmany countries because of increasing development of anti-biotic resistance in aquatic bacteria (Smith et al 1994) Also,the occurrence of antimicrobial residues in products ofaquaculture threat human health (World Health Organiza-tion 2006) Nowadays, several environment-friendly pro-phylactic and preventive methods are being developed tocontrol such diseases and to maintain a healthy microbialenvironment in aquaculture systems (Vadstein 1997; Ver-schuere et al 2000; Bache`re 2003; Defoirdt et al 2005)
As a defined by Gibson & Roberfroid (1995), Ôa prebiotics
is a non-digestible food ingredientÕ that allows specificchanges in the composition and/or activity in the gastroin-testinal microflora that confers benefits upon host well-beingand health Many studies have shown the effects of prebioticssuch as fructo-, galacto-, glyco-, malto- and mannanoligo-saccharides (MOS) on the health of human and livestockspecies (Flickinger et al 2003; Patterson & Burkholder 2003;
Trang 15prevents attachment and colonization of pathogenic bacteria
in the digestive tract and reduces adverse effects of
micro-flora metabolites that could be related to its bonding to and
accompanying the enteric pathogens through the
gastroin-testinal tract where the pathogens are voided with the
undi-gested MOS and excreta (Newman 1994) Other types of
bacteria are unaffected from MOS supplementations because
it is supposed that their surfaces do not attach to MOS
(Spring et al 2000)
To our knowledge, most investigations into dietary MOS
supplementation have examined its improving effects on
immune status and stress resistance in fish, but very few
studies have evaluated the effects of MOS on growth in
aquacultural species Sparus aurata is one of the most
important marine non-salmonid species of business
aqua-culture farmed in Turkey where it reaches up to 40% total
fish production (Memis et al 2002) Therefore, the objective
of this study was to examine growth performance and
nutrients digestion of S aurata fed diets supplemented with
20 or 40 g kg)1commercial MOS product, Bio-Mos (Alltech
Biotechnology, Lexington, KY, USA)
The experiment was performed with 9000 1-year-old gilthead
sea bream with an initial average weight of 170 g and was
conducted at commercial gilthead sea bream and sea bass
production farm (Kilic Seafish Aquaculture Import – Export
Co.) Bodrum in Mugla, Turkey during the period from
September 2009 to November 2009 (90 days) The fish had
been raised in fibreglass tanks supplied with untreated
sea-water at natural temperatures and under a natural light
regime the last months until the start of the experiment At
the start of the experiment, 9000 fish were distributed among
nine 100 m3sea cages (1000 fish in each) The initial stocking
density was identical in the cages (20 kg m)3) To avoid the
negative effects of sun exposure, the sea cage was covered by
a sun shade (Foss et al 2004) This experiment consisted of a
growth and a subsequent digestibility determination of the
experimental diets
Control diet was based on fish and soybean meal, wheat
and fish oil To this mixture, 0, 2 or 4 g kg)1Bio-Mos was
added (Table 1), and diets (pellet size 3 mm) were produced
by extrusion at Kilic Feed Factory (Mugla, Turkey) Three
diets were given to triplicate groups of fish The growth trial
lasted for 12 weeks During the trial, the fish were fed twice
daily mid-morning and mid-afternoon to apparent satiation
Water temperature was virtually identical for the entireexperimental period, ranging from 24.7 to 19.6C Salinity,dissolved oxygen and pH of the water were 36 ± 0.5,
8 ± 0.5 mg L)1and 7.5, respectively
Fish were sampled biweekly For this, 10% of fish in eachcage were captured, anaesthetized with 1/10 000% of tricainemethanesulphonate (MS-222; SIGMA, St Louis, MO, USA)and weighed after a 2-day fast After each sampling period,the amount of feed given was adjusted according to meanweight in each cage From results of the last sample, wecalculated weight gain (WG = final weight) initial weight),food conversion rate (FCR = feed consumption/WG) andsurvival (%) Six fish from each cage were also sampled andstored at)20 C for body composition at the end of the trial.The collection of faeces was conducted in triplicate foreach respective dietary treatment The faeces were collected,which is during 06:00–08:30, 14 h after the last feeding with15-min interval between cages, allowing the maintenance of
Table 1 Formulation and chemical composition of the control and experimental diets for Sparus aurata
Diet
Control (basal)
Experimental diet I
Experimental diet II Ingredients (g kg)1)
18 mg niacin (nicotinic acid), 36 mg pantothenic acid, 9 mg doxine, 10.8 mg riboflavin, 1.8 mg thiamin.
pyri-2 Provided per kg of diet: 2.46 mg sodium chloride (NaCl), 0.05 mg ferrous sulphate (FeSO 4 ), 0.02 copper sulphate (CuSO 4 ), 0.07 mg manganese sulphate (MnSO 4 ), 0.008 mg potassium iodide (KI), 0.01 mg zinc sulphate (ZnSO 4 ).
3 Supplied by SIGMA, St Louis, MO, USA.
.
Trang 16sampling time, over six consecutive days from gilthead sea
bream using stripping techniques (Glencross et al 2005), for
analysis
Proximate analysis on diets, fish bodies and faecal samples
was performed according to the methods of AOAC (1984)
Samples were freeze-dried prior to analysis Dry matter was
calculated by gravimetric analysis following oven drying at
105C for 24 h Gross ash content was determined
gravi-metrically following loss of mass after combustion of a
sample in a muffle furnace at 600C for 12 h Protein levels
were calculated from the determination of total nitrogen by
Kjeldhal digestion, based on N· 6.25 Crude fat content was
determined gravimetrically following extraction of the lipids
according to the Soxhlet method Carbohydrate content of
experimental diets, fish bodies and resulting faeces samples
was determined by the method of Gouveia & Davies (2000)
Gross energy was determined by adiabatic bomb calorimetry
(Parr 6300 adiabatic bomb calorimeter; Parr Instrument
Company, Moline, IL, USA) Chromic oxide (SIGMA) in
faeces was determined according to the method of Furukawa
& Tsukahara (1966) The apparent digestibility (AD) of each
of the nutritional variables examined was based on the
where Crdietand Crfaecesrepresent the chromium rate of the
diet and faeces, respectively, and Nutrientdiet and
Nutri-entfaeces represent the nutritional parameter of concern
(protein, carbohydrate, lipid or energy) rate of the diet and
faeces, respectively
Data were analysed for homogeneity of variances using
CochranÕs test Effects of diets on the growth parameters and
effects of ingredient on digestibility of protein, carbohydrate
and gross energy in each of the diet were examined byANOVA
using the software package STATISTICA (StatsoftR, Tulsa,
OA, USA) Levels of significance were determined using
Tukeys HSD test, with critical limits being set at P < 0.05
Table 2 shows the growth performance of fish fed with the
three experimental diets There was no significant effect of
diets on survival rate of fish However, the body weight ofeach group measured at 0, 30, 60 and 90 days showed sig-nificant difference from the mean body weight (P < 0.05) atevery interim measurement of body weight except that ofinitial The WG and FCR were significantly better in thegilthead sea bream fed the diet with 2 g kg)1Bio-Mos than
in those fed the basal diet and the diet with 4 g kg)1 Mos
Bio-Analysis of body proximate composition (Table 3)revealed that moisture, crude protein, lipids, ash and energywere unaffected (P > 0.05) in present trial However, themoisture in fish fed the diets with Bio-Mos tended to be lowerthan that in fish fed the basal diet On the other hand, thelipid and protein per cents, and energy values tended to behigher in fish fed the diets with Bio-Mos than in those fed thebasal diet
While protein, carbohydrate (starch) and energy ibility were significantly affected by dietary treatment(P < 0.05), lipid digestibility was not improved by adding
digest-Table 2 Growth performance in fish fed experimental diets
Diets
Initial body weight (g) 172 ± 9a 172 ± 7a 172 ± 5aBody weight at 30th
day (g)
266 ± 10 a 292 ± 11 b 295 ± 12 b
Body weight at 60th day (g)
Energy (MJ kg)1) 7.6 ± 0.06 7.9 ± 0.04 7.8 ± 0.05 MOS, mannanoligosaccharide.
No significant difference was observed in these data (P > 0.05).
.
Aquaculture Nutrition 17; 482–487 2010 Blackwell Publishing Ltd
Trang 17two levels of Bio-Mos to diets (P > 0.05) Moreover,
carbohydrate digestibility was significantly higher in the
gilthead sea bream fed the diet with 2 g kg)1Bio-Mos than in
those fed the both other diets (Table 4)
In the present study, it was tested whether the addition of
two levels of Bio-Mos would improve the growth
perfor-mance of gilthead sea bream and the diet digestibility
Although inclusion of dietary Bio-Mos at 2 and 4 g kg)1did
not significantly affect diet proximate composition, fish fed
Bio-Mos supplemented diets showed a significant growth
improvement The growth response to the MOS is in
agreement with results from studies on broiler chickens
(Kumprecht & Zobac 1997), pigs (Rozeboom et al 2005),
common carp (Atar & Ates 2009) or rainbow trout (Staykov
et al.2007) and European sea bass (Torrecillas et al 2007)
On the other hand, no effect of MOS supplementation on
growth was observed by Pryor et al (2003) in gulf sturgeon;
by Mahious et al (2006) in turbot larvae; by Genc et al
(2007) in hybrid tilapia; by Grisdale-Helland et al (2008) in
Atlantic salmon; and by Gultepe & Hossu (2008) in sea
bream Interpretation of the conflicting results is more
complicated than originally meets the eye, however, and may
be affected by species, dietary supplementation level and
duration of use Moreover, in many cases, prebiotics was
added to the fish diets after pellets were prepared or to pellets
that were not extruded or coated It is possible because of the
fact that a large proportion of the supplemented MOS
lea-ched into the water and only a small portion actually realea-ched
the fish Hence, it cannot be determined by the effect of MOS
supplementation on growth parameters in experimental
aquatic animals Similarly, Genc et al (2007) reported that
experimental diets were prepared from commercial trout
diet, supplemented with MOS at different levels and there
were no significant differences between treatment groups in
growth parameters of fish
Some studies investigated the effects of different prebiotics
on fish growth For instance, the effect of dietary inulin,oligofructose and lactosucrose on the growth and intestinalbacteria of Psetta maxima was investigated by Mahious et al.(2006) The final mean weight of turbot larvae weaned with
20 g kg)1 oligofructose was significantly higher than thoseobserved with the other diets Another recent investigationwith Litopenaeus vannamei showed that WG and specificgrowth rate of the juvenile white shrimp (Litopenaeus van-namei) increased with the increment of dietary short-chainfructooligosaccharides (FOS), while their feed conversionratio decreased (Zhou et al 2007)
Body proximate analysis in the present study showed thatnone of the examined parameters were affected by Bio-Mossupplementation, whereas previous studies on rainbow trout(Yilmaz et al 2007) and hybrid tilapia (Genc et al 2007)using 4 g kg)1 MOS supplementation reported increasedbody protein levels
The diet composition and nutrient digestibility exert aconsiderable effect on growth Both factors, singly or incombination, can affect the food intake of fish and the effi-ciency of conversion of the ingested nutrients into biomassgain It was also commented that in most terrestrial animalsstudied, maximum growth efficiency occurs at maximumfood intake, but this is not the case in fish Various expla-nations have been offered to account for this and for theapparent difference between fish and higher vertebrates.These include decreasing digestion efficiency at high rationsand disproportionately higher metabolic costs of capturing,digesting, and metabolizing larger meals (Talbot 1993).Grisdale-Helland et al (2008) speculated that lipid, proteinand energy digestibility in Atlantic salmon were not affected
by dietary supplements of the prebiotics such as MOS, FOSand galactooligosaccharide In contrast, protein, carbohy-drate and energy digestibility were significantly (P < 0.05)affected by supplementing the diet with 20 or 40 g kg)1Bio-Mos in this study, in accordance with the results of Yilmaz
et al.(2007) and Genc et al (2007), in which rainbow troutand hybrid tilapia were fed diets containing 1.5 to 4.5 g kg)1.The reason for the greater protein digestibility in the giltheadsea bream fed the Bio-Mos diets may be related to theenhanced amino acid absorption as it has been shown inchicken (Iji et al 2001) Lipid digestibility was not improved
by adding two levels of Bio-Mos to diets (P > 0.05) ever, the lipid digestibility of the control and experimentaldiets containing 2 and 4 g kg)1Bio-Mos resulted in fish with
How-a close to the mHow-aximum limits
In conclusion, these results indicated that dietary inclusion
of Bio-Mos at 2 g kg)1enhances gilthead sea bream growth
Table 4 Apparent digestibility (%) of protein, carbohydrate, lipid
and energy in the experimental diets
Trang 18and nutrientsÕ digestibility Further studies are needed to
determine potential positive effects of the prebiotics on the
health and resistance of the fish to stress and disease-causing
factors
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Trang 19Verschuere, L., Rombaut, G., Sorgeloos, P & Verstraete, W (2000)
Probiotic bacteria as biological control agents in aquaculture.
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.
Trang 20Norwegian College of Fishery Science, Faculty of Biosciences, Fisheries and Economics, University of Tromsø, Tromsø, Norway
The aims of this study was to assess the effect of two lactic
acid bacteria (LAB), Lactobacillus curvatus and Leuconostoc
mesenteroides, originally isolated from gastrointestinal (GI)
tract of beluga (Huso huso) and Persian sturgeon (Acipenser
persicus), respectively, on growth, survival and digestive
enzyme (amylase, lipase and protease) activities and the
population level of LAB in the GI tract The treatments
included 10 different groups; control, separate supplements of
L curvatus and Leu mesenteroides at three different counts
added in lyophilized form to chopped Chironomidae In the
beluga study, highest specific growth rate, survival and
improved intestinal enzyme activities were noted in the
rear-ing group fed 9· 109
L curvatusper gram food In Persiansturgeon, the inclusion level of 2· 109
Leu mesenteroideshad similar positive effect The ability of LAB to colonize the
digestive tract seems to involve host specificity, and our
bac-teriological results are relevant to initiate future probiotic
studies in sturgeons and future directions will be discussed
sturgeon, probiotic
Received 23 April 2010, accepted 2 August 2010
Correspondence: Fatemeh Askarian, Norwegian College of Fishery
Sci-ence, Faculty of Biosciences, Fisheries and Economics, University of
Tromsø, Tromsø, Norway E-mail: fatemehaskarian@yahoo.com
Sturgeon is one of the oldest anadromous or
potamodrom-ous family (Acipenseridea) among the bony fishes with 28
species (Bahmani et al 2001; Asadi et al 2006), and themost important genera includes; Acipenser, Huso, Scap-hirhynchus and Pseudoscaphirhynchus (Bemis et al 1997;
Bahmani et al 2001; Askarian et al 2009) Of the six cies, living in the Caspian Sea are beluga (Huso huso) andPersian sturgeon (Acipenser persicus) two of them (Bahmani
spe-et al.2001), and nowadays, these two species are mentioned
as endangered species because of over fishing, loss of habitatand decrease of water quality according to IUCN list(www.iucnredlist.org)
Some information is available on the microbiota onexternal surface (skin, gills and fins) and in the gastrointes-tinal (GI) tract of sturgeon (Shenavar Masouleh et al 2006;
Delaedt et al 2008; Huys et al 2008; Akrami et al 2009;
Askarian et al 2009; Ghanbari et al 2009) However, to ourknowledge, there is no information available about the use ofprobiotics in sturgeon aquaculture The term probiotics isconstructed from the Latin word pro (for) and the Greekword bios (life) (Zivkovic 1999) and was created in the 1950s
by Kollath (1953) Lilley & Stillwell (1965) used this term todenote bacteria that promote the health of other organisms,but the definition of a probiotic used in aquaculture differsgreatly depending on the source (Gram & Ringø 2005;
Merrifield et al 2010) Generally, probiotics offer potentialalternatives by providing benefits to the host primarily viathe direct or indirect modulation of the intestinal microbiota,enhanced immune system and growth, stimulate enzymeactivity and improved disease resistance As described bynumerous authors, several lactic acid bacteria (LAB) strainshave been used as probiotic in aquaculture to increase theimmune enhancement, disease resistance, modulate the gutmicrobiota and competitive exclusion of pathogens throughthe production of inhibitory compounds (Gatesoupe 1991,
1999, 2008; Gildberg et al 1997; Gildberg & Mikkelsen 1998;
Ringø & Gatesoupe 1998; Phianphak et al 1999; Ringø &
Birkbeck 1999; Robertson et al 2000; Nikoskelainen et al
Trang 212001, 2003; Panigrahi et al 2004; Ringø 2004; Ringø et al.
2005, 2010; Balcazar et al 2006, 2007, 2008; Merrifield
et al.2010) Furthermore, there are several reports available
about the influence of probiotics on digestive enzyme activity
in fish (Tovar et al 2002; Tovar-Ramirez et al 2004;
El-Haroun et al 2006; Wache et al 2006; Ghosh et al
2008; Suzer et al 2008; Saenz de Rodriganez et al 2009)
This topic is highly relevant to evaluate as the intestinal tract,
where digestion and absorption take place, is very important
for fish The first aim of this study was therefore to
inves-tigate the effect of two LAB, Lactobacillus curvatus and
Leuconostoc mesenteroides originally isolated from the GI
tract of beluga and Persian sturgeon, respectively (Askarian
et al 2009), on growth, survival and digestive enzyme
(amylase, lipase and protease) activities
The increased interest during the last decade in LAB in
the GI tract of fish is related to the fact that LAB often
produce bacteriocins and other chemical compounds that
may inhibit colonization of pathogenic bacteria in the GI
tract (Ringø et al 2005; Ringø 2008; Merrifield et al 2010)
However, even if these bacteria produce antimicrobial
compounds, they might not be applicable as probiotics in
aquaculture if they are not able to adhere to and colonize
gut mucus Finally, we addressed the issue as to whether
dietary supplement of LAB modulate the population level
of LAB in the GI tract and evaluate whether host specificity
is involved
The present investigation was carried out at the International
Sturgeon Research Institute, Gilan Province, Iran Three
thousand fry of Persian sturgeon (A persicus) and beluga
(H huso) with mean weight and length of 40.30 ± 2.06 mg
and 12.01 ± 0.90 mm and 50.10 ± 1.03 mg and 13.00 ±
0.90 mm, respectively, were used Sixty 20-L fibre glass tanks
(100 fish per tank) supplied with fresh water were used and
the experiment lasted for 50 days Ten treatments with three
replicates were used for each species Mean temperature, pHand oxygen level during the experiment were 17C, 7.1 and8.1 mg L)1 for Persian sturgeon and 15C, 7.1 and8.6 mg L)1for beluga
In this study, two species of LAB were used TheLeu mesenteroides strain showed 99% similarity to acces-sion no AB362705 and was originally isolated from the
GI tract of Persian sturgeon (Askarian et al 2009), while
L curvatus (similarity = 98% to accession no AY204891)was originally isolated from the GI tract of beluga(Askarian et al 2009) The bacteria were added at differentcounts in lyophilized form to chopped Chironomidae (bloodworms collected daily from natural environment) andimmediately fed to the respective tanks The viability offreeze-dried bacteria was determined by plate counting onMRS agar and was 2.8· 109CFU g)1 for Leu mesentero-ides and 1.2· 1013 CFU g)1for L curvatus The fish werefed approximately 6% of their body weight every day and adetailed description the 10 different treatments presented inTable 1
Sampling was carried out seven times (every week) during theexperiment Thirty fry from each treatment were randomlysampled for determination of specific growth rate (SGR) asdescribed by Kissil et al (2001)
SGR = (ln W2) W1) (g)/(t2) t1) (day)
At the end of the experiment after 50 days, were 30 fishesfrom each treatment group transferred to laboratory forenzymatic determination The head and tail of fish were cut
off and the remaining part homogenized on ice in an electrichomogenizer (Heidolph instruments, Schwabach, Germany)
Table 1 Experimental treatments applied in studies with beluga (Huso huso) and Persian sturgeon (Acipenser persicus)
Trang 22as described elsewhere (Furne´ et al 2005) Thereafter, were
the homogenates centrifuged at 30 000 g for 30 min at 4C
in a Kontron centrifuge model Centrikon H-401 (Zurich,
Switzerland) and the supernatant collected and frozen at
)80 C (Furne´ et al 2005) Protease, amylase and lipase
activities were determined according to the methods
described by Furne´ et al (2005)
Bacterial analyses were carried out at the end of experiment,
after 50 days of feeding The fish were starved for 24 h
before sampling to clear their alimentary tracts (Bairagi
et al.2002) The head and tail of 30 fishes, 3· 10 fish from
each tank treated separately, were cut off, and the
remain-ing parts were thoroughly rinsed three times with sterile
saline (0.85% w/v), transferred to betadine (a mixture of
povidone–iodine and detergent used to disinfect skin)
solution (0.01% v/v) for 15 min, and washed three times
with sterile saline to remove non-adherent bacteria Three
replicates consisting of 10 fish from each tank were
sus-pended in 10 mL sterile saline Pooled samples of 10 fish
were used to avoid individual variations in the gut
micro-biota (Spanggaard et al 2000; Ringø et al 2006) The
suspended samples were homogenized with an electric
homogenizer The homogenates were serially diluted with
sterile saline; 0.1 mL of the appropriate dilutions spread on
the surface of triplicate plates of tryptic soy agar added 5%
glucose (TSAg), MRS and lactic agar and incubated at
30C under aerobic conditions for 2 days Preliminary
identification of the gut bacteria was carried out by light
microscopy (CH3-BH-PC; Olympus, Tokyo, Japan) and
standard biochemical tests (Gram-staining, oxidase, nitrate
reduction, catalase tests, aerobic and anaerobic growth)
LAB strains from each treatment were identified based on
CO2 production from glucose, production of NH3 from
arginine, growth at different temperatures (15 and 45C),
different pH (4.2 and 9.6) and their ability to grow in
dif-ferent concentrations of NaCl (6.5% w/v, 10% w/v and
18% w/v) in MRS broth, as described elsewhere (Sujaya
et al 2001; Thapa et al 2006) for determination of
Leu mesenteroides and L curvatus
All results are presented as the average and standard deviation
and one-wayANOVAwas performed to determine the
signifi-cant difference (P < 0.05) between parameters according to
Ribeiro et al (1999) and Nikoskelainen et al (2003)
The SGR of Persian sturgeon (A persicus) displayed highestvalue in treatment 4 (supplemented 2· 109
Leu ides) while lowest value was noted in treatment 3 (supple-mented with 9· 109
mesentero-L curvatus) (Fig 1) SGR wassignificant different (P < 0.05) between these two treatments
The results of the beluga (H huso) study revealed mum and minimum SGR in treatment 3 and 6 (supplemented
maxi-9· 109Leu mesenteroides), respectively (Fig 1) No icant difference (P > 0.05) was observed in SGR betweentreatment 1, 2 and 3 fed L curvatus
signif-The highest and lowest survival of Persian sturgeon wasnoted in treatment 4 and 3, respectively (Fig 2) Further-more, treatment 4, 5 and 6 fed only Leu mesenteroides
012345678910
Treatment 1 Treatment 2 Treatment 3 Treatment 4 Treatment 5 Treatment 6 Treatment 7 Traetment 8 Treatment 9
–1 )
Persian sturgeonBeluga
Figure 1 Specific growth rate (SGR) of Persian sturgeon and beluga.
Each value represents the mean value ± SD of 30 fry from each treatment.
0102030405060708090100
Treatment 1 Treatment 2 Treatment 3 Treatment 4 Treatment 5 Treatment 6 Treatment 7 Traetment 8 Treatment 9
Persian sturgeon Beluga
Figure 2 Survival (%) of Persian sturgeon and beluga Each bar represents mean ± SD N = 300 in each treatment.
.
Aquaculture Nutrition 17; 488–497 2011 Blackwell Publishing Ltd
Trang 23showed significant higher (P < 0.05) survival compared to
the other treatments According to Fig 2 highest and lowest
survival of beluga were noticed in treatment 3 and 6,
respectively, and the difference between these two
treat-ments was significantly different (P < 0.05) The three
treatments (1–3) of beluga fed L curvatus had a
signifi-cantly (P < 0.05) higher survival compared to the other
treatment groups
Amylase, lipase and protease activities in Persian sturgeon
and beluga are showed in Fig 3 Highest enzymatic activities
in Persian sturgeon were detected in treatment 4 while lowest
activities was observed in treatment 3 Generally, the enzyme
activities in treatments fed Leu mesenteroides (group 4–6)
were significantly (P < 0.05) higher compared to the other
treatments
In beluga, maximum amylase, lipase and protease activities
were noticed in treatment 3 while lowest enzyme activities
were noticed in the control group, fish fed control diet for
50 days (Fig 3) The enzyme activities in three treatments
(1–3) fed L curvatus were significantly higher than the other
treatments
Total viable counts (TVC) of aerobic gut bacteria in
Per-sian sturgeon and beluga are showed in Table 2 In all the
treatment groups fed LAB for 50 days, the population level
of bacteria per g increased from the initial sampling,
4.2· 104TVC g)1 (log = 4.62) in Persian sturgeon and
6.9· 104TVC g)1(log = 4.84) in beluga, to approximately
5.4· 104
TVC g)1 (log = 4.73) in Persian sturgeon andaround 8.2· 104TVC g)1 (log = 4.91) in beluga, respec-
tively However, the TVC levels in experimental groups of
Persian sturgeon and beluga fed LAB were more or less
similar to that of control fish after 50 days of feeding
indi-cating that LAB feeding does not affect the population level
of the adherent aerobic gut microbiota
Generally, higher population levels of intestinal LAB were
observed in Persian sturgeon fed Leu mesenteroides,
treat-ment groups 4–6, compared to fish fed L curvatus (treattreat-ment
groups 1–3), the LAB mixture and control fish (Table 2) In
contrast to these results, highest LAB levels in beluga were
noticed when the fish were fed L curvatus, treatment groups
1–3 In fish fed a mixture of the two LAB strains, generally
higher LAB levels were observed in beluga compared to that
of Persian sturgeon However, the population levels of LAB
in Persian sturgeon and beluga fed a LAB mixture were more
or less similar to that noticed in the control group after
50 days of feeding (Table 2) The ratio of LAB versus TVC
(%) in the GI tract of Persian sturgeon and beluga is showed
in Table 2 Compared to the approximate value of 0.80% at
initial sampling, prior to experimental start, and values of
051015202530354045
–1 protein)
Persian sturgeonBeluga
051015202530354045
–1 protein)
Persian sturgeon Beluga
020406080100120140
Treatment 1 Treatment 2 Treatment 3 Treatment 4 Treatment 5 Treatment 6 Treatment 7 Traetment 8 Treatment 9
Figure 3 Mean amylase, lipase and protease activities in Persian sturgeon and beluga Each bar represents mean value ± SD of 30 fry from each treatment.
.
Trang 240.60% and 0.74% in Persian sturgeon and beluga fed thecontrol diet for 50 days, respectively, the highest values(between 1.25% and 1.47%) were noted in Persian sturgeonfed Leu mesenteroides In contrast to these results, thehighest ratio of 1.32% in beluga was demonstrated in fish fed
9· 109
L curvatus
Identification of L curvatus and Leu mesenteroides in thedigestive tract of Persian sturgeon and beluga showed sur-prising results (Table 2) In Persian sturgeon, few L curvatusstrains were identified while the number of Leu mesentero-ides strains were clearly higher in treatment groups exposedonly to Leu mesenteroides In contrast to these results, acompletely different situation occurred in beluga, as in thisfish species few strains of Leu mesenteroides were identifiedeven when the fish were fed Leu mesenteroides On the otherhand, high level of L curvatus strains was detected whenbeluga were fed L curvatus Based on the results presented inTable 2, we suggest that the ability of LAB to colonize thedigestive tract of sturgeon seems to involve host specificity
However, when the sturgeons were fed a mixture of the twoLAB, treatment 7–9, the population level of L curvatus andLeu mesenteroideswas more or less similar to that observedfor the control fish
Sturgeons are important contributor to fish production inmany countries located around the Caspian Sea Concertedresearch efforts have concentrated on optimizing productionwith eco-friendly alternatives to the therapeutic use of anti-biotics The first studies on screening of probiotic bacteriafrom aquaculture environments were initiated during the1980s (Schro¨der et al 1980; Dopazo et al 1988; Kamei et al
1988; Strøm 1988), has garnered attention for disease vention in aquaculture (Gatesoupe 1999, 2008; Gomez-Gil
pre-et al 2000; Verschuere et al 2000; Irianto & Austin 2002;
Balcazar et al 2006; Kim & Austin 2006; Merrifield et al
2010; Sharifuzzaman & Austin 2010) Moreover, probioticshave been attributed with improved food safety in a moreenvironmentally friendly way (Macey & Coyne 2005) Cer-tainly, FAO has now suggested the use of probiotics as amean of improving the quality of the aquatic environment(Subasinghe et al 2003)
The results of the present study revealed that tation of LAB to the food of Persian sturgeon and belugasignificantly improved SGR and survival of treatment groupsfed LAB originally isolated from the fish species investigated
supplemen-To our knowledge, improved SGR and survival on the use
of probiotics have been reported in two shrimp species
Trang 25Fenneropenaeus indicus(Ziaei-Nejad et al 2006) and Penaeus
vannamei (Wang 2007), common carp (Cyprinus carpio)
(Wang & Xu 2006) and rohu (Labeo rohita) (Ghosh et al
2003), red drum (Sciaenops ocellatus) (Li et al 2005),
Japanese flounder (Paralichthys olivaceus) (Taoka et al
2006) and gilthead sea bream (Sparus aurata) (Suzer et al
2008) Positive effect of Bacillus subtilis on growth and
survival of ornamental fishes (Poecilia sphenops, Poecilia
reticulata, Xiphophorus maculates and Xiphophorus helleri) is
also documented (Ghosh et al 2008) The enhanced growth
performance might be because of increasing digestive enzyme
activity induced by the probiotics, as it has been reported
that Gram-positive bacteria, particularly members of the
genus Lactobacillus, have ability to secrete a wide range of
exo-enzymes (Moriarty 1996, 1998; Suzer et al 2008) With
respect to SGR and fry survival, it was interesting to notice
that Persian sturgeon fed L curvatus originally isolated from
beluga (treatment 1–3) and beluga fed Leu mesenteroides
(treatment 4–6) originally isolated from Persian sturgeon
were significantly lower than that observed for the control
group These findings have not been elucidated but it can be
speculated that the bacteria has a detrimental effect on gut
morphology, health parameters and the protective gut
microbiota However, to clarify this, additional studies are
necessary
It has been documented in a number of aquatic animals
that the GI microbiota plays an important role in nutrition
(Sakata 1990; Ringø et al 1995; Thompson et al 1999;
Verschuere et al 2000; Suzer et al 2008) In addition, some
bacteria may participate in the digestion processes of bivalves
by producing extracellular enzymes, such as proteases,
lip-ases, as well as providing necessary growth factors (Prieur
et al.1990) Similar observations have been reported for the
microbiota of adult penaeid shrimp (Penaeus chinensis),
where a complement of enzymes for digestion and synthesize
compounds that are assimilated by the animal (Wang et al
2000) Microbiota may serve as a supplementary source of
food, and microbial activity in the digestive tract may be a
source of vitamins, essential amino acids and fatty acids
(Dall & Moriarty 1983; Sakata 1990)
Various mechanisms have been proposed to explain the
beneficial effects of probiotics such as: (i) antagonism
towards pathogens, (ii) competitions for adhesion sites, (iii)
competition for nutrients, (iv) improvement of water quality,
stimulation of host immune responses and (v) enzymatic
contribution to digestion Several studies have documented
nutritional effect of algae, probiotic bacteria and
Saccharo-myceson the digestive enzymes of fish and shellfish larvae
(Cahu et al 1998; Tovar et al 2002; Tovar-Ramirez et al
2004; Wache et al 2006; Wang & Xu 2006; Ghosh et al.2008; Suzer et al 2008; Saenz de Rodriganez et al 2009) Inthe present study, the enhancement of SGR and survival insturgeon fry was simultaneously noticed with increase indigestive enzyme activity Our results are in agreement withthe results of Tovar-Ramirez et al (2004) that reportedimproved activity of the digestive enzyme, trypsin, amylaseand lipase, in European sea bass (Dicentrarchus labrax) larva
by adding live yeast (Debaryomyces hansenii) to the diet.Furthermore, Wang & Xu (2006) showed significant differ-ence (P < 0.05) of digestive enzymes activity, protease,amylase and lipase, in common carp by using Bacillus sp asprobiotics In a later study, Suzer et al (2008) reportedimproved activity of the intestinal enzymes, alkaline phos-phatase and leu–ala-peptidase and pancreatic trypsin, amy-lase and lipase, by using the Lactobacillus spp as probiotic ingilthead sea bream larvae The enhanced digestive enzymeactivities observed in some of the treatment groups in thepresent study might be attributed to improved gut matura-tion as previously suggested by Tovar et al (2002) in a studyusing D hansenii originally isolated from the gut of rainbowtrout (Oncorhynchus mykiss) In addition to this direct effect,some authors have suggested that the main modes of actionand beneficial effects of probiotics are prevention of intestinaldisorders and predigestion of antinutrient factors present
in the ingredients (Thompson et al 1999; Verschuere et al.2000; Suzer et al 2008) To clarify the mechanisms involved,further sturgeon studies have to be carried out Moreover,further investigations need to be carried out to clarifywhy gut enzyme activities were generally lower in Persiansturgeon fed L curvatus originally isolated from beluga(treatment 1–3)
The results of the present study displayed that LAB do notbelong to the dominant GI microbiota of sturgeon, as thebacteria only accounted for 0.3–1.4% of the total culturablegut microbiota in all treatments (Table 2) Even though
L curvatus and Leu mesenteroides to some extent wasdetected in the gut of beluga and Persian sturgeon, respec-tively, at experimental start, their population levels remainunaffected even after 50 days of feeding on the control diet.Based on this finding, we conclude that these bacteria do notbelong to the dominant gut microbiota in beluga and Persiansturgeon Ringø & Gatesoupe (1998) also reported that LAB
do not belong to the dominant intestinal microbiota of fish.However, in the present study, the numbers of L curvatusand Leu mesenteroides increased in the gut of beluga(treatments 1, 2 and 3) and Persian sturgeon (treatments 4, 5and 6), respectively, compared to initial sampling and controlafter 50 days of feeding (Table 2) It is also worth to notice
.
Trang 26that the highest number of LAB was observed in sturgeon
groups with highest SGR and gut enzyme activity
In probiotic studies, one can speculate whether the
pro-biont can tolerate the pH of the fish stomach and survive the
passage to the intestine As the pH of stomach in fish is
between 3.0 and 4.5 (Ringø et al 2003) and the evacuation
time of food is relatively short, it is generally accepted that
bacteria such as LAB can survive passage to the intestine
Furthermore, one should bear in mind that Lactobacillus and
Leuconostoccan tolerate relative low pH (4.5)
Difficulties in analysing the complexity of bacterial
com-munity by classic methods of cultivation have necessitated
the development of molecular methods To overcome these
problems, various methods such as denaturing gradient gel
electrophoresis (DGGE), fluorescence in situ hybridization
and temporal temperature gradient electrophoresis and clone
libraries have been developed to circumvent the need for
isolation To the authorsÕ knowledge, only one preliminary
study of Siberian sturgeon (Acipenser baeri) has investigated
the gut microbiota by DGGE (Delaedt et al 2008) using
eubacterial primers as described by Muyzer et al (1993)
Therefore, in future studies, we recommend using DGGE
when evaluating the bacterial gut community in Persian
sturgeon and beluga Furthermore, we recommend that
future probiotic studies on sturgeon include the topics:
sup-plementation duration, mucosal immune system, challenge
studies and GI morphology evaluation as golden standards
Nikoskelainen et al (2001) suggested that mucosal
adhe-sion is one of the five important criteria for the selection of
probiotics in fish Whereas some authors postulate that
probiotic colonization of intestinal epithelial surface include
host specificity (Lin & Savage 1984; Fuller 1986), other have
reported the absence of specificity in LAB when binding host
intestinal mucus Gildberg & Mikkelsen (1998) suggested
that there seems to be no host specificity between the two
strains of Carnobacterium divergens, originally isolated from
the gut of Atlantic cod (Gadus morhua L.) and Atlantic
sal-mon (Salmo salar L.) in the GI tract of Atlantic cod fry
Ringø (1999) questioned whether C divergens originally
isolated from the gut of Atlantic salmon (Strøm 1988) was
able to attach the mucosal surface and colonize the gut of
turbot (Scophthalmus maximus L.) larvae, and concluded
that no host specificity was involved in the gut of turbot
larvae at the time of hatching Two later studies also reported
the absence of specificity in LAB when binding host intestinal
mucus (Rinkinen et al 2003; Salinas et al 2008) As the fish
were starved for 24 h prior to sampling, we suggest that the
gut bacteria isolated in the present study probably belong to
the autochthonous microbiota However, one critical
com-ment to this statecom-ment is that the sampling procedure isinsufficient to distinguish between the autochthonous andallochthonous gut bacteria However, few strains ofLeu mesenteroides were identified in the digestive tract ofbeluga even when the fish were fed Leu mesenteroides(Table 2) Based on the results presented in Table 2, we putforward the controversial hypothesis that host-specificadherence of Leu mesenteroides in the digestive tract ofPersian sturgeon and L curvatus in the GI tract of beluga frymight occur However, more information concerning themechanism of action eventually involved in the host-specificadhesion of LAB in sturgeon merits further research
In the present study, the fry were continuously fed theprobiotic diets However, as the fish were not reverted back
to the control diet for a longer period, we cannot concludethat the LAB used in the present study are permanentlycolonizing the digestive tract To clarify this additionalstudies are necessary
Another aspect on the use of probiotics is dose-dependentstudies According to Merrifield et al (2010), such studies arecurrently limited and somewhat contradictory This was alsodemonstrated in the present study, as supplementation of
9· 109
L curvatus in the diet to beluga improved the gutenzyme activities, while addition of 2· 109Leu mesentero-ides enhanced gut activities in Persian sturgeon To clarifythe mechanisms, further studies have to be carried out
Thanks to Dr Mahmoud Bahmani, Dr Ali Reza Shenavarand their colleagues at the International Sturgeon ResearchInstitute, Gilan Province, Iran for their inestimable helpduring the experiment
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.
Trang 301 1 1 2
3 1
Department of Fisheries & Environmental Sciences, Faculty of Natural Resources, University of Tehran, Karaj, Iran;2 Iranian
fisheries research organization (IFRO), Inland waters fisheries research of Gorgan, Gorgan, Iran; 3 Aquaculture and Fish
Nutrition Research Group, School of Biomedical and Biological Sciences, The University of Plymouth, Plymouth, UK
Preliminary experiments were undertaken to investigate the
effects of oligofructose on beluga sturgeon (Huso huso)
growth performance, survival and culturable autochthonous
intestinal microbiota Juveniles (20 g) were fed diets
con-taining varying levels of oligofructose (10, 20 and 30 g kg)1)
at 2–3% body weight per day for 7 weeks Compared to the
control group, no significant (P > 0.05) effect on growth
performance was observed in fish fed diets supplemented
with oligofructose at 10 and 20 g kg)1 However, compared
to the 20 g kg)1 group, feeding oligofructose at 30 g kg)1
resulted in adverse effects on growth performance Dietary
supplementation of oligofructose at 20 g kg)1 significantly
increased survival rate Microbiological assessment indicated
that the viable culturable autochthonous levels were not
affected by dietary oligofructose Although lactic acid
bac-teria (LAB) were not a dominant component of the
endog-enous autochthonous microbiota, LAB levels were
significantly elevated in fish fed 20 g kg)1dietary
oligofruc-tose This elevated LAB population was able to persist for at
least 1 week after reverting the prebiotic group back to a
control diet This study encourages further research on
dif-ferent aspects of oligofructose in sturgeon culture with clear
emphasis on optimizing dosage levels
oligo-fructose, prebiotic, survival
Received 31 January 2010, accepted 20 August 2010
Correspondence: S.H Hoseinifar, Department of Fisheries &
Environ-mental Sciences, Faculty of Natural Resources, University of Tehran,
31585-4314 Karaj, Iran E-mail: hoseinifar@ut.ac.ir
Sturgeons are commercially valuable species, which are rently highly endangered because of over fishing, loss ofhabitat and decreased water quality (Carmona et al 2009)
cur-Sturgeon culture has seen considerable progress in recentyears because artificial culture up to marketable size isimportant to reduce pressure on natural population of stur-geon in the Caspian Sea (Pourkazemi 1997) Great sturgeon
or beluga (Huso huso) is an endangered species that is thesubject of restoration and restocking schemes, but because ofits fast growth rates, like other sturgeon species, appears to
be very suitable for aquaculture for meat and caviar duction (Williot et al 2001; Sudagar & Hosseinifar 2005;
pro-Mohseni et al 2008) At present, however, very little mation is available about the nutritional requirements of
infor-H huso(Hung & Deng 2002)
Prebiotics, defined as non-digestible food ingredients thatbeneficially affect the host by selectively stimulating thegrowth of and/or activity of health-promoting bacteria in theintestinal tract (Gibson 2004), have been demonstrated toshow great potential as dietary supplements in aquafeeds(Merrifield et al 2010; Ringø et al 2010) Inulin and oligo-fructose are among the most commonly used prebiotic foodingredients (Van Loo et al 1999) Dietary supplementation
of oligofructose or inulin (a heterogeneous blend of fructosepolymers) has been shown to enhance growth rates and/orthe survival of aquatic animals such as Siberian sturgeonAcipenser baeri (Mahious & Ollevier 2005), African catfishClarias gariepinus(Mahious & Ollevier 2005), turbot Psettamaxima larvae (Mahious et al 2006) and Indian whiteshrimp Fenneropenaeus indicus (Hosseinifar et al 2010a)
Furthermore, it has been reported that dietary oligofructose
Trang 31modulates the gut microbiota of turbot larvae (Mahious
et al.2006), and dietary inulin has been observed to modulate
the intestinal microbiota of Arctic charr Salvelinus alpinus
(Ringø et al 2006) and Atlantic salmon Salmo salar
(Bakke-McKellep et al 2007) Despite recent progress of inulin-type
prebiotics in many fish species (for reviews see Merrifield
et al.2010; Ringø et al 2010), limited information is
avail-able on the effects of oligofructose on beluga
Thus, the aim of this study was to determine the effects of
oligofructose as a prebiotic on growth parameters, survival
and intestinal microbiota of beluga Huso huso juveniles
Oligofructose consists predominantly of polydisperse
b-(2fi 1)-linked fructans produced by partial enzymatic
hydrolysis of chicory inulin (Niness 1999) The degree of
polymerization of the fructans in oligofructose (Raftilose
P95) ranges from 2% to 8% (Mahious & Ollevier 2005) The
minimum level of fructans guaranteed by the manufacturer
(Raffinerie Tirlemontoise, Tienen, Belgium) was 930 g kg)1
with the main remaining components consisting of glucose,
fructose and sucrose Chemical composition of the product
according to manufacturer was 982 g kg)1 dry matter and
18 g kg)1crude ash
A basal diet was formulated (for the control group), and the
prebiotic diets were prepared by supplementing the basal
for-mula with varying levels of oligofructose (10, 20 and 30 g kg)1;
Table 1) The ingredients were blended with an additional
100 mL of water per 1 kg to form a paste The pastes were
passed through a meat grinder equipped with a 2-mm die to
obtain uniform pellets The pelleted diets were air-dried and
stored in plastic bags at)2 C (Abdel-Tawwab et al 2008)
Beluga juveniles were supplied by the Shahid Marjani
Stur-geon Fish Propagation & Cultivation Center (Golestan
prov-ince, Iran) and randomly allocated in 12 tanks (800 L tanks; 50
fish per tank) Each feeding group was conducted in triplicate
Water temperature, dissolved oxygen, pH and salinity were
monitored daily and maintained at 24.38 ± 0.57C,
5.13 ± 0.40 mg L)1, 7.97 ± 0.06 and 2.62 g L)1,
respec-tively Continuous aeration was provided to each tank through
an air stone connected to a central air compressor Juvenileswere fed at 2–3% of body weight per day (at 06:00, 09:00,13:00, 16:00 and 20:00) for 7 weeks All growth data and car-cass composition are reported from weights and samples taken
at week 7, which is classed as the end of the feeding experiment
Growth performance and feed utilization were calculatedaccording to the following formulae: WG = W2) W1;specific growth rate (SGR) = 100 (ln W2)ln W1)/T, feedconversion ratio (FCR) = FO/WG (g), condition fac-tor = fish weight (g)/(fish length cm)3· 100 and hepatoso-matic index (HSI) = liver weight (g)/fish weight (g)· 100,where W1is the initial weight (g), W2is the final weight (g), T
is time (days), FO is feed offered (g) and WG is the weightgain In addition, survival rate was calculated at the end ofthe experiment: survival = (Nf/N0)*100; where N0 is theinitial number of fish and Nfis the final number of fish
Proximate analysis of the formulated diets and fish carcasses(at week 7) from each treatment were determined according
Table 1 Dietary formulations (g kg ) and proximate composition
2 Amet binderTM, Mehr Taban-e- Yazd, Iran.
3 ToxiBan antifungal (Vet-A-Mix, Shenan- doah, IA, USA).
4 Butylated hydroxytoluene (BHT) (Merck, Germany).
5 Dry matter basis.
6 Nitrogen-free extracts (NFE) = dry matter ) (crude protein + crude lipid + ash + fibre).
7 Gross energy (MJ kg)1) calculated according to 23.6 kJ g)1for protein, 39.5 kJ g)1for lipid and 17.0 kJ g)1for NFE.
.
Trang 32to standard AOAC (1990) methodology Gross energy was
calculated using the conversion factors of 23.6, 39.5 and
17.0 kJ g)1 for protein, lipid and nitrogen-free extract
(NFE), respectively (Brett & Groves 1979)
The analysis of intestinal microbiota was conducted at week
0 (initial fish), week 7 (the end of the nutrition trial) and week
8 Between week 7 and week 8, all groups were fed the control
diet to investigate the persistence of any potential differences
caused by the prebiotic Total viable autochthonous
hetero-trophic aerobic bacteria and lactic acid bacteria (LAB) levels
were determined at the start of trial from 15 specimens from
the initial pool of fish At the end of the experiment, three fish
per tank were randomly sampled for microbiological studies
Samples were processed individually (i.e n = 9 per
treat-ment) Fish were starved for 24 h prior to microbiological
sampling The fish were killed by physical destruction of the
brain, and the skin was then washed with 0.1%
benzalkoni-um chloride before opening the ventral surface The entire
intestinal tract was removed aseptically, washed thoroughly
with sterile saline (0.85% NaCl) and homogenized (Potter–
Elvehjem Tissue Homogenizer, Cole-Parmer Instrument
Company, IL, USA) to isolate the autochthonous intestinal
microbiological communities The homogenate was serially
diluted to 10)7with sterile saline and 100 lL of the samples
was spread in triplicate onto plate count agar (PCA)
(Lio-filchem, Roseto degli Abruzzi, Italy) and de Man, Rogosa
and Sharpe (MRS) agar (Liofilchem) for the enumeration of
total viable aerobic heterotrophic bacteria and LAB,
respectively Plates were incubated at room temperature
(25C) for 5 days (Mahious et al 2006) and colony-forming
units (CFU) g)1 were calculated from statistically viable
plates (i.e plates containing 30–300 colonies) (Rawling et al
2009)
All statistical analyses were conducted using SPSSstatisticalpackage version 10.0 (SPSS Inc., Chicago, IL, USA) Afterchecking for normality and homogeneity of variance, datawere subjected to a one-way analysis of variance (ANOVA)
When significant differences were observed, DuncanÕs tiple range tests were performed (Zar 1994) Mean valueswere considered significantly different at P < 0.05 Data areexpressed as mean values ± SD
mul-Growth performance and feed utilization parameters ofbeluga juveniles fed different levels of dietary oligofructose(Raftilose, P95) are shown in Table 2 There were nosignificant differences between final weight, WG, SGR orFCR of juveniles fed the control, 10 and 20 g kg)1 oligo-fructose diets (P > 0.05) However, compared to the fish fed
20 g kg)1oligofructose, the final weight of fish fed 30 g kg)1oligofructose was significantly lower (P = 0.01) Survivalrate of the 20 g kg)1 dietary oligofructose fed fish wassignificantly elevated compared to the control group(P = 0.01) There were no significant differences of bodycomposition of beluga juveniles from the different dietarygroups (P > 0.05) (Table 3)
Compared to the control group, total heterotrophicautochthonous bacterial levels in fish fed 30 g kg)1 oligo-fructose (5.81 ± 0.88 versus 6.71 ± 0.37 CFU g)1 in thecontrol) were significantly lower (P = 0.01) (Table 4) Addi-tionally, autochthonous LAB levels in the 20 g kg)1dietary
Table 2 Growth performance and diet utilization of beluga juveniles fed diets containing varying levels of oligofruc- tose (g kg)1) (Raftilose, P95)
Feed conversion ratio (FCR) 2.80 ± 0.08 2.81 ± 0.12 2.65 ± 0.12 3.06 ± 0.29
Protein efficiency ratio (PER) 1.58 ± 0.30 1.49 ± 0.02 1.58 ± 0.04 1.36 ± 0.09
Survival (%) 87.17 ± 2.22b 89.10 ± 2.93ab 96.15 ± 3.84a 86.45 ± 6.97b
Hepatosomatic index (HSI) 3.66 ± 0.42 3.73 ± 0.38 3.75 ± 0.54 3.64 ± 0.50
Data assigned with different superscripts indicate significant differences (P < 0.05).
.
Aquaculture Nutrition 17; 498–504 2011 Blackwell Publishing Ltd
Trang 33oligofructose group were significantly elevated (5.36 ± 0.49
versus 4.23 ± 0.81 CFU g)1in the control; P = 0.01) at the
end of trial (week 7) LAB levels in the 20 g kg)1oligofructose
(5.15 ± 0.47 CFU g)1) fed fish remained significantly
ele-vated 1 week after reverting to the control diet (week 8)
It has been reported that elevated resistance to pathogens,
improved growth performance, feed utilization, lipid
metabolism and immuno-stimulation may all be possible
through microbial manipulation of gastric populations using
prebiotics (Ringø et al 2010) Prebiotics are functional
die-tary supplements with documented positive applications in a
range of fish and crustacean species (Merrifield et al 2010;
Ringø et al 2010) To our knowledge, this study is the first
attempt to investigate the effects of oligofructose as a
prebiotic on growth performance, survival and intestinal
microbiota of beluga juveniles
Our results revealed that dietary supplementation with 10and 20 g kg)1 oligofructose had no significant effects onbeluga growth performance, feed utilization or carcasscomposition; furthermore, higher level of dietary oligofruc-tose (30 g kg)1) resulted in adverse effects compared to the
20 g kg)1group These results are in agreement with thoseobtained by Akrami et al (2007) who used the same levels(10, 20 and 30 g kg)1) of dietary inulin as a prebiotic forbeluga juveniles Several studies have reported improvedgrowth performance and feed utilization of fish and shellfishfed dietary prebiotics (Mahious & Ollevier 2005; Mahious
et al.2006; Genc et al 2007b; Lv et al 2007; Staykov et al.2007; Torrecillas et al 2007; Zhou et al 2007; Samrongpan
et al 2008) On the contrary, several other studies haverevealed that growth parameters have remained unaffectedwith prebiotic applications in fish (Yoshida et al 1995; Pryor
et al 2003; Genc et al 2006, 2007a; Akrami et al 2007;Sheikholeslami et al 2007; Grisdale-Helland et al 2009;Dimitroglou et al 2010) It is clear that optimizing prebioticdosage levels requires further attention as there is often a fineline between achieving benefits and achieving negative effects.Such negative effects may be attributed to the inability ofintestinal microbiota to ferment excessive prebiotic levels andthe subsequent accumulation of indigestible material in theintestine which may cause irritation to the gut (Olsen et al.2001)
In the present study, increased survival was observed inbeluga juveniles fed oligofructose at 20 g kg)1compared tothe control and 30 g kg)1 treatment Similar improvements
in the survival of non-pathogen challenged cobia tron canadum larvae (Salze et al 2008), rainbow troutOncorhynchus mykiss(Staykov et al 2007) and Indian whiteshrimp post-larvae (Hosseinifar et al 2010a) have beenobserved with prebiotic applications On the contrary, die-tary inulin had no significant effect on survival of belugajuveniles (Akrami 2007) or rainbow trout (Akrami et al.2007) In the present study, increased survival rate in belugajuveniles fed 20 g kg)1is possibly a sign of improved generalhealth or immune status Indeed, it has recently beenreported that 20 g kg)1 dietary oligofructose can elevatecirculating leucocyte levels of beluga (Hosseinifar et al.2010b) but further research is needed to investigate the effects
Rachycen-of oligRachycen-ofructose on beluga health parameters and diseaseresistance
Lactic acid bacteria (LAB) have been considered as ficial components of the fish intestinal ecosystem byproducing bacteriocins, lactic acid and other antagonisticcompounds, which inhibit the growth of certain fish patho-gens (Ringø & Gatesoupe 1998; Ringø et al 2005; Balca´zar
bene-Table 3 Carcass proximate composition beluga juveniles fed diets
containing varying levels of oligofructose (g kg)1) (Raftilose, P95).
Data represent means from three replicates per treatment
Table 4 Total viable counts (TVC) and lactic acid bacteria (LAB)
levels [log colony forming units (CFU) g)1intestine] in the gut of
beluga juveniles fed diets containing different levels of oligofructose
(g kg)1) (week 7) and after 1 week of reverting to the control diet
(week 8)
TVC (log CFU g)1)
LAB (log CFU g)1) LAB (%) Initial fish 0 5.19 ± 0.34 3.30 ± 0.33 1.28 ± 0.31
* There were no significant differences between week 7 and week
8 values in the respective groups.
.
Trang 34et al.2007; Ringø 2008) Although they have been frequently
isolated from the gut of fish, such as Atlantic cod, Atlantic
salmon, Arctic char, beluga, tilapia and Persian sturgeon
(Sugita et al 1985; Ringø & Gatesoupe 1998; Hagi et al
2004; Askarian et al 2009; Merrifield et al 2010), they are
not generally considered to be the dominant species From
the present investigation, we conclude that culturable
autochthonous LAB are only minor components of the
intestine of beluga, constituting <6% of the total viable
culturable autochthonous populations Although these levels
were low, the LAB levels were significantly elevated in
juveniles fed 20 g kg)1 dietary oligofructose Indeed, many
LAB species are known to be able to utilize oligosaccharides
including oligofructose (Blay et al 1999; Kaplan & Hutkins
2000; Buddington et al 2002; Orrhage et al 2004; Roller
et al 2004; Ignatova et al 2009) In the present study,
feeding beluga juveniles with 30 g kg)1dietary oligofructose
reduced both total viable bacterial load and LAB levels
Similarly, Akrami (2007) and Ringø et al (2006) showed that
administration of high levels of dietary prebiotics lowered
total viable counts in the intestinal tract of beluga juveniles
and Arctic charr, respectively The exact mechanism behind
these observations is not known and should be a topic of
further study
Total viable bacterial counts and LAB levels after
revert-ing to the control diet for 1 week remained similar to that at
the end of the experimental feeding phase with LAB levels in
the 20 g kg)1 oligofructose-fed fish remaining significantly
elevated This is suggestive that the effect of the dietary
prebiotic can persist temporarily in the absence of dietary
prebiotic administration Presumably endogenous LAB are
provided with a competitive advantage over other
endo-genous bacterial populations within the digestive tract (i.e a
fermentable energy source) and are able to thrive and sustain
an elevated level even in the absence of the prebiotic for some
time This is an interesting finding and to our knowledge is
the first study on the effect of prebiotics on the gut
micro-biota of fish in the weeks after reverting back to
unsupplemented diets has been assessed Because of the
heavy influence of the rearing water and feed on fish gut
microbiota (Denev et al 2009), it is likely that this gastric
microbial modulation will not persist indefinitely; however,
the duration of such changes has yet to be determined A
comprehensive investigation of the effects of prebiotics on
endogenous microbial populations and assessment of the
persistence of microbial modulation should be the topic of
further studies that should incorporate more sensitive
molecular methods such as DGGE, 16S rRNA sequencing
and FISH
This preliminary study encourages further research ondifferent aspects of prebiotic administration in sturgeonculture as well as immunological studies to determine theeffects of prebiotics on the immune system and diseaseresistance of beluga juveniles The changes in LAB levelswarrant further studies including culture-independentmolecular methods to provide a more comprehensiveassessment of the effect on the gut microbiota
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Aquaculture Nutrition 17; 498–504 2011 Blackwell Publishing Ltd
Trang 37We assessed effects of feed restriction and inclusion of
200 g kg)1 extracted soybean meal in the diet on gene
expression in Atlantic salmon using a cDNA microarray
(SFA2.0) and real-time qPCR The trial lasted for 54 days
Restricted feeding and soybean inclusion reduced the thermal
growth coefficient by respectively 51% and 22% compared
with fish fed with the fishmeal-based control diet to satiation
Soybean decreased distal intestinal expression of lysosomal
(cathepsins C, D, L, Y and Z) and extracellular proteases
while genes involved in responses to cellular stress were
up-regulated Expression changes of immune genes suggested
both pro- and anti-inflammatory regulation The hepatic
responses to soybean and restricted feeding were highly
similar, which could be because of negative effects of soybean
meal on digestion and nutrient absorption We observed
up-regulation of ribosomal proteins and down-regulation of
genes involved in lipid and steroid metabolism Of note,
growth reduction in both study groups was associated with
coordinated down-regulation of genes involved in oxidative
and cellular stress responses, metabolism of xenobiotics and
protein degradation High expression of stress-related genes
in salmon fed with the control diet suggests that maximum
growth rates can be associated with health problems
restricted feeding, soybean meal
Received 30 April 2010, accepted 25 August 2010
Correspondence: S Skugor, Nofima, P.O Box 5003, A˚s, Norway 1432,
Norway E-mail: stanko.skugor@nofima.no
Success of commercial Atlantic salmon aquaculture presumesproduction of large size fish in relatively short time periods.Rapid growth of fish is essential; retardation of growthcauses heavy economical losses Growth rate is a highlycomplex trait, determined with a combination of geneticmerit, health and physiological status of fish, multiple envi-ronmental factors and nutrition Reduced growth rates offarmed fish are observed periodically and often remainunexplained (Pickering 1993) Aquaculture requires tools toassess possible reasons for decreases in growth rates, and thisneeds comparative studies of responses to different stressors
We report results of a pilot experiment that assessed geneexpression profiling in order to study the growth decreasecaused by nutritional interventions: restricted feeding andpartial replacement of fish meal by soybean meal
Growth rate is negatively affected by food deprivation atall levels of reduction In mammals and birds, restrictedfeeding rapidly initiates metabolic changes similar to thosecaused by fasting (Wang et al 2006) Ectotherms are char-acterized with much greater tolerance to nutrient deprivationthan mammals and birds, and even protracted periods ofcomplete food absence do not cause irreversible changes inteleost fish (Olivereau & Olivereau 1997) Compared withother vertebrates, the severity of nutrient deprivationrequired for the initiation of adaptive responses in fish issubstantially higher, but responses are similar (Meton et al.1999; Wang et al 2006) Soybean meal is extensively used as
a substitute for high-quality fish meal in feeds for aquaculturespecies The replacement of fish meal with soybean products,however, causes adverse impacts on growth and nutrientretention, which have not found complete explanation todate The extent of negative effects depends on the content ofthe soybean protein, level of inclusion and treatment applied
.
2011 17; 505–517
. doi: 10.1111/j.1365-2095.2010.00832.x
Aquaculture Nutrition
Trang 38for elimination of anti-nutritional factors (Francis et al 2001;
Barrows et al 2007) Soybean products may contain antigens
causing intestinal damage and compounds that interfere with
the digestive processes in fish, including phytic acid,
pro-teinase inhibitors, agglutinin lectins, oligosaccharides,
non-starch polysaccharides and isoflavones (Francis et al 2001)
Soybean causes moderate inflammation (enteritis) in the
distal intestine associated with infiltration of T cells, however
with no apparent effect on digestive enzymes
(Bakke-McKellep et al 2007a,b) High levels of soybean decrease
appetite and feed intake, which can be attributed to inferior
palatability or intestinal dysfunctions (Refstie et al 1998)
It remains unknown if negative effects of caloric restriction
and soybean products on salmon growth involve similar or
different molecular mechanisms
We report the gene expression changes in the liver and
distal intestine of Atlantic salmon The salmonid fish cDNA
microarray SFA2.0 (Krasnov et al 2005; Jorgensen et al
2008) has been used in a large number of experiments that
included various stressors Comparison of results produced
in this and previous studies searched for responses specific for
nutritional interventions The study also aimed at better
understanding of growth retardation caused with soybean
meal The distal intestine was included in analyses to assess
tissue lesions and their possible consequences Comparison
of the hepatic gene expression profiles addressed the question
if responses to soybean were similar or different from those
caused with restricted feeding The microarray results were
verified with real-time qPCR
Two iso-nitrogenous diets, a control diet based on fish meal
and a soybean meal diet containing 430 g kg)1 fish meal
and 200 g kg)1 extracted soybean meal, were manufactured
by Nofima Ingrediens (Fyllingsdalen, Bergen, Norway)
(Table 1) The diets were extruded (Wenger TX 52, Sabetha,
KS, USA), and the feed particle size was 3 mm The diets
were analysed for dry matter (DM) (105C, until constant
weight), crude protein (N· 6.25; Kjeltec Auto System,
Tecator, Ho¨gana¨s, Sweden), crude lipid after HCl hydrolysis
(Soxtec HT6; Tecator) and ash (550C, overnight)
Two months before the start of the trial, Atlantic salmon
(Salmo salar L.) were individually tagged (Passive Integrated
Transponder, Trovan Ltd., UK) At the start of the trial, the
fish were fasted for 2 days, individually weighed
(297 ± 28 g, mean ± SD), and then groups of 59 fish were
randomly distributed to each of three 1-m2tanks The tankswere supplied with seawater (11.7 ± 1.2C) and weredesigned to accommodate collection of waste feed from theeffluent water in wire mesh boxes The fish were held undercontinuous light and were fed using automatic band-feedersfor 54 days Two tanks of fish were fed with either the con-trol or soybean diet, in excess One additional tank was fedwith the control diet at a level approximating 40% of theintake of the full-fed group to achieve half as much weightgain The waste feed was collected daily, and approximatefeed intake for each tank was calculated by taking intoaccount the waste feed level and the percentage recovery ofdry matter from the diet in the system (Helland et al 1996)
The rations were adjusted every 3 days based on intake level
After the trial, the waste feed was analysed for DM contentand actual feed intake for each tank was recalculated Thetanks were checked daily for dead fish The oxygen satura-tion level for all tanks was maintained over 85% Watertemperature was measured daily At the end of the growthtrial, the fish were individually weighed After 12 further days
of feeding, individuals with growth rates similar to theaverage within their respective group were selected for geneexpression analyses The study groups were designated as CF(control diet, full ration), CR (control diet, reduced ration)and SF (soybean diet, full ration)
Relative feed intake, % body weight (BW) per day:
100· [dry feed intake (FI)] · [(BW0+ BW1)/2])1· (days
Table 1 Formulation and chemical composition of the experimental diets
3 Norsildmel, Bergen, Norway.
4 Felleskjøpet Øst-Vest, Vaksdal, Norway.
5 As described by (Mundheim et al 2004).
.
Aquaculture Nutrition 17; 505–517 2010 Blackwell Publishing Ltd
Trang 39fed))1, where BW0 and BW1 are initial and final body
weights, respectively
Thermal growth coefficient (TGC): 1000· (BW1
1/3–
BW01/3)· (P
T))1, whereP
T is the sum day-degrees Celcius(Iwama & Tautz 1981)
The salmonid fish microarray (SFA2) includes 1800 unique
clones printed each in six spot replicates The complete
composition of the platform and sequences of genes are
provided in submission to NCBI GEO Omnibus (GPL6154)
Tissue samples were stored in RNALater (Ambion, Austin,
TX, USA) Total RNA from tissue was extracted with
TRIzol and purified with Pure Link (Invitrogen, Carlsbad,
CA, USA) Individual samples of distal intestine (SF, n = 5)
and liver (CR and SF, n = 5 each) were hybridized to CF
(pooled control; equal contribution from six fish); one
microarray was used per sample Test and control RNA
(20 lg in each sample) were labelled with Cy5-dUTP and
Cy3-dUTP (GE Healthcare, Uppsala, Sweden), respectively
The fluorescent dyes were incorporated in cDNA using the
SuperScript Indirect cDNA Labeling System (Invitrogen)
The cDNA synthesis was performed at 46C for 3 h in a
20-lL reaction volume, followed by RNA degradation with
0.2 M NaOH at 37C for 15 min and alkaline neutralization
with 0.6 M Hepes Labelled cDNA was purified with
Mi-crocon YM30 (Millipore, Bedford, MA, USA) The slides
were pretreated with 10 g kg)1 BSA fraction V, 5· SSC,
1 g kg)1 SDS (30 min at 50C), washed with 2 · SSC
(3 min) and 0.2· SSC (3 min) and hybridized overnight at
60C in a cocktail containing 1.3 · DenhardtÕs, 3 · SSC,
3 g kg)1SDS, 0.67 lg lL)1 polyadenylate and 1.4 lg lL)1
yeast tRNA After hybridization, slides were washed at room
temperature in 0.5· SSC and 1 g kg)1 SDS (15 min),
0.5· SSC and 0.1 g kg)1 SDS (15 min), and twice in
0.06· SSC (2 and 1 min, respectively) Scanning was
per-formed with GenePix4100A, and images were processed with
GenePix 6.0 (Molecular Devices, Sunnyvale, CA, USA) The
spots were filtered by criterion (I-B)/(SI + SB)‡ 0.6, where
I and B are the mean signal and background intensities and
SI and SB are the standard deviations Low-quality spots
were excluded from analysis and genes presented with less
than three high-quality spots on a slide were discarded After
subtraction of median background from median signal
intensities, the log2-expression ratios (ER) were calculated
Lowess normalization was performed first for the whole slide
and next for twelve rows and four columns per slide
Sta-tistical analyses included two stages, assessing both technical
errors and biological variation First, differential expressionwas evaluated in each sample by difference from zero of themean log2-ER (six spot replicates per gene, StudentÕs t-test,
P <0.05) Genes with a technically significant differencefrom reference and ER > |1.4| in more than half of analysedindividuals were selected Next, biological variation wasanalysed in averaged spot replicates Differential expressionwas assessed with one-sample t-test or comparison of themean scores to a known value (log2-ER = 0 in control – CF,
P <0.05) and two-sample t-test was used for comparisonbetween SF and CR groups (P < 0.05) The mean log2-ERvalues were calculated for groups of functionally relatedgenes with similar expression profiles To find genes withpreferential responses to feeding stress, we compared pro-portions of samples with differential expression in this studywith results from 185 experiments in our gene expressiondatabase Differences were assessed with FisherÕs exactprobability (P < 0.05) Genes from several functional groupsshowed highly coordinated expression changes; these dataare reported as mean log2-ER The complete microarray dataare provided in the supplementary file
The cDNA synthesis was performed on 0.5 lg treated total RNA (Turbo DNA-free; Ambion, Austin, TX,USA) using TaqManGold Reverse Transcription kit (Ap-plied Biosystems, Foster City, CA, USA) and oligo dTprimers PCR primers (Table 2) were designed using VectorNTI (Invitrogen) and synthesized by Invitrogen The ampli-con lengths set to be between 50 and 200 bases were checked
DNAse-on 15 g kg)1agarose gel PCR efficiency was calculated fromtenfold serial dilutions of cDNA for each primer pair intriplicates Real-time PCR assays were conducted using 2·SYBRGreen Master Mix (Roche Diagnostics, Mannheim,Germany) in an optimized 12-lL reaction volume, using
1 : 10 diluted cDNA, with primer concentrations of 0.4–0.6 lM PCR was performed in duplicate in 96-well opticalplates on Light Cycler 480 (Roche Diagnostics, Mannheim,Germany) under the following conditions: 95C for 5 min(pre-incubation), 95C for 5 s, 60 C for 15 s, 72 C for 15 s(amplification), 95C for 5 s, and 65 C for 1 min (meltingcurve) 45 cycles were performed Relative expression ofmRNA was evaluated byDDCT Geometric average of eightreference genes selected by results of microarray analyses(18S rRNA, RNA polymerase II, eukaryotic translationinitiation factor 3 subunit 6, NADH dehydrogenase 1 alphasubcomplex subunit 8, 70 kDa peroxisomal membrane pro-tein, prostaglandine D synthase and NADH dehydrogenase
.
Trang 40Table 2 Primers used for qPCR analyses
CAGTCCCACAAGCCCTGGTAGT
TTTGGATGTGGTAGCCGTTTCTC
ATGAGGGACCTTGTAGCCAGCAA Eukaryotic translation initiation factor 3 subunit 6, eIF3S6, CX040383 GTCGCCGTACCAGCAGGTGATT
CGTGGGCCATCTTCTTCTCGA NADH dehydrogenase 1 alpha subcomplex subunit 8, NDUA8, NM_001160582 TCTGTCGCTGGGAGGAGAAGGA