![]() |
|
|

*
Departamento de Ecología,
Departamento de Fisiología, Facultad de Biología, Diagonal 645, and
**
Departamento de Bioquímica, Facultad de Farmacia, Diagonal 643, Universidad de Barcelona, 08071 Barcelona, Spain
2To whom correspondence should be addressed.
| ABSTRACT |
|---|
|
|
|---|
KEY WORDS: chromic oxide digestibility growth carbohydrate metabolism gilthead sea bream
| INTRODUCTION |
|---|
|
|
|---|
Tacon and Rodrigues (1984)
used three diets with three external markers
(chromic oxide, polyethylene, and acid-washed sand) added
simultaneously and in the in the same proportions (0.5, 1, and 2%) to
the same basic diet (so the diet with 0.5% chromic oxide also had
0.5% polyethylene and 0.5% acid-washed sand, etc.) and also
determined crude fiber as an internal marker. They found no consistency
between the results obtained with these four markers, with chromic
oxide and polyethylene giving higher digestibilities for the diets with
the higher concentration (2%) of both markers, and crude fiber and
acid-insoluble ash giving the same digestibility values for all
three diets. They concluded that chromic oxide, at levels <1%, and
crude fiber are reliable external and internal dietary markers for use
with rainbow trout (Salmo gairdneri).
Shiau and Chen (1993)
fed tilapia (Oreochromis niloticus x
O. aureus) diets with (20 g/kg) and without chromic
oxide and also suggested that, when glucose is the only carbohydrate
source in the diet, the inclusion of chromic oxide could affect growth
performance (increasing weight gain), body composition (increasing dry
weight and ether extract content), and enzyme activities involved in
carbohydrate metabolism. In contrast, no differences in these variables
were found between tilapia fed supplemented and nonsupplemented diets
when the source of carbohydrate was raw cornstarch (only
glucose-6-phosphatase activity was significantly lower in fish fed the
chromic oxide diet compared to the control diet).
In a later work on tilapia (Shiau and Liang, 1995
), two
levels of chromic oxide (5 and 20 g/kg) were incorporated into diets
containing glucose or starch. Fish fed the glucose diet with 5 g/kg of
chromic oxide had greater weight gain, feed efficiency ratio, protein
efficiency ratio, and protein deposition than fish fed the glucose diet
containing 20 g chromic oxide/kg. The ingredient digestibilities
estimated using 5 g chromic oxide/kg as the marker were greater
than those estimated with 20 g chromic oxide/kg. Furthermore, fish
fed the glucose diet with 5 g chromic oxide/kg had higher
phosphofructokinase activity and lower tissue chromium concentration
than fish fed the glucose diet with 20 g chromic oxide/kg.
However, when fish were fed the raw cornstarch diets, the only effect
of chromic oxide supplementation was a lowering of digestibility
values. Apparent digestibilities of protein, lipid, carbohydrate, and
dry matter were significantly higher for the starch diet supplemented
with 5 g chromic oxide/kg than for the starch diet supplemented
with 20 g chromic oxide/kg, although the magnitude of the
differences observed were less than those in the glucose diets.
In contrast, Ng and Wilson (1997)
found that when channel catfish
(Ictalurus punctatus) were fed diets with 33% glucose as
the only carbohydrate source and eight levels of chromic oxide (from 0
to 10 g/kg), growth performances (weight gain, feed efficiency ratio
and protein efficiency ratio), whole-body composition (percent
moisture, crude protein, fat, and ash), and chromium concentration in
the whole-fish carcass were not affected by the level of
supplemental chromic oxide. They concluded that chromic oxide is
sufficiently inert to be used as an external marker in digestibility
studies in channel catfish.
Finally, Shiau and Shy (1998)
, feeding diets with glucose as the only
source of carbohydrate and eight levels of chromic oxide
supplementation, presented further evidence that chromic oxide, at
~0.204 g/kg, induced maximal growth performances in tilapia.
Given these conflicting results and the scarcity of data on this subject, the present study was performed to examine the possibility that the level of chromic oxide included in diets containing gelatinized cornstarch as the only carbohydrate source could affect nutrient digestibility, whole-body composition, growth performances, blood glucose, or the activity of the enzymes involved in carbohydrate and protein metabolism in gilthead sea bream (Sparus aurata).
In this work, we used cornstarch because, in addition to providing
energy that can spare protein, it can also act as a binding agent and
is, therefore, the type of carbohydrate usually included in practical
fish diets. However, there is less information on the effects of
chromic oxide inclusion in diets that contain starch than in diets that
contain glucose as the carbohydrate source. The results of Shiau and Chen (1993)
and Shiau and Liang (1995)
for glucose diets are
contradicted by those of Ng and Wilson (1997)
and by other studies by
the same group (Shiau and Shy 1998
), but no
other work is available to confirm the results obtained by Shiau and Chen (1993)
and Shiau and Liang (1995)
for starch diets.
We used a gelatinized form of starch because this form facilitates its
digestibility by carnivorous fish, such as S. aurata
(De Silva and Anderson 1995
, Jobling 1994
, Wilson 1994
). To our knowledge, no work
has been done to check the effect of chromium oxide inclusion in the
diet when this form of starch is used as the carbohydrate source.
We studied enzyme activities related to carbohydrates because chromium
is an essential nutrient in vertebrates, with a role in carbohydrate
metabolism, probably as a cofactor acting on insulin or on insulin
receptors (Anderson 1997
, Davis and Vincent 1997
). Therefore, enhanced chromium absorption from
chromium-supplemented diets could affect enzyme activities
regulated by insulin.
| MATERIALS AND METHODS |
|---|
|
|
|---|
|
After 3 wk, samples of feces were taken for 23 consecutive days by pipetting from the bottom of the aquariums. The feces were recovered in the afternoon (68 h after feeding) as soon as they were voided by the fish. The feces were filtered through fine nets (500 µm), immediately transferred to flasks, dried in an oven at 65°C for 2448 h and stored at -20°C until analysis. The feces recovered on different days, but coming from the same aquarium, were pooled. These samples of voided feces (VF) were used in digestibility calculations.
After 5 wk, fish were stripped under anesthesia (MS 222 diluted at 75 mg/L in sea water) to obtain fecal material (STR) for digestibility measurement. This sampling technique had the advantage of avoiding leakage that can occurs when the feces are voided to the water.
After 6 wk, to conduct further digestibility and composition measurements, 10 fish from each aquarium were killed in the afternoon while anesthetized. Fish that were fed in the morning were killed in the afternoon at the time they usually voided feces. The fish were immediately dissected and the gut was emptied and its contents divided into sections. Samples from the intestine were separated into the anterior region (AR) samples, corresponding to the first 23 cm after stomach and pyloric caeca; the posterior region (PR), corresponding to the 23 cm before the rectum; and the rectum region (RR), corresponding to last 12 cm of the gut. Samples from the stomach were discarded. Samples from a given region of all fish in a given aquarium were pooled, dried in a oven (4896 h at 65°C) and stored at -20°C in sealed tubes until analysis.
Once the gut was emptied, each fish was weighed for final fresh weight, dried in an oven at 60°C to constant weight (dry weight), and then also stored in sealed containers in a refrigerator at -20°C until analysis.
After killing 10 fish for the above mentioned measurements, 56 fish remained alive in each aquarium. These fish were starved for 24 h and then killed by cervical section after being anaesthetized (MS 222 at 75 mg/L). Blood was extracted from the dorsal aorta, and the samples from the 56 fish in each aquarium were pooled. Serum was extracted after coagulation and centrifugation and stored at -20°C for analysis. The liver was dissected, immediately frozen in liquid nitrogen, and kept at -80°C until used for assaying enzyme activities.
Samples of diets, fish, and feces were analyzed for carbon, nitrogen,
chromium, phosphorus, and calcium contents. Procedures and analytical
techniques were as described elsewhere (Fernández et al. 1996 and 1998
). Diets (n = 4/diet), fish
(n = 4/aquarium), and feces (two replicate analysis per
each pooled sample) were analyzed for carbon and nitrogen content with
a CHN analyzer (Carlo Erba NA 1500, CE Instruments, Thermoquest Italia,
Milan, Italy) and for P, Ca, and Cr content with an inductively coupled
plasma spectrometer (Polyscan 61E, Thermojarrell Ash Corporation,
Franklin, MA) after acid digestion of the samples. The digestion
procedures followed closely the method of Furukawa and Tsukahara (1966)
. Samples of diets (n = 3/diet) and fish
(n = 24 fish/aquarium) were also analyzed for
protein, lipid, and ash content, following standard procedures
(Helrich 1990
). Carbohydrates were calculated by
difference.
Apparent digestibility coefficient (ADC) of a given nutrient was
calculated from the following equation:
![]() |
For dry matter, the equation was:
![]() |
Growth rates were calculated for each aquarium as a specific
growth coefficient (SGC) resulting from the following expression:
![]() |
taken from Jobling (1994)
, where Wf is the mean final fresh
weight for the fish in each aquarium, Wi is the mean initial fresh
weight of the fish in the same aquarium, and t is time in days. Other
parameters calculated for each aquarium were food efficiency ratio
(FER) and protein efficiency ratio (PER), according to the following
expressions:
![]() |
![]() |
The retention efficiency for protein (PRE) and nitrogen (NRE)
in a given aquarium were also calculated according to the equations:
![]() |
![]() |
where the nutrient gain (protein or N) was calculated from weight increase and the nutrient content (protein or N) of the initial and final samples of fish. The feed nutrient was calculated from the food provided and the content of food in either protein or nitrogen.
For each fish, the relative liver weight (RLW) and the condition index
(CI) were also calculated for the initial and final samples, using the
following equations:
![]() |
![]() |
Serum glucose was determined using a commercial kit (GLUC GDH, Roche Diagnostics, F. Hoffmann-La Roche Ltd., Basel, Switzerland) for measurement in a COBAS MIRA S analyzer (Roche Diagnostics).
For determining liver enzyme activities, crude extracts were obtained by centrifugation (at 15,000 x g for 20 min) of powdered frozen liver homogenized (1/5, wt/v) in 50 mmol Tris-HCl/L, pH 7.5; 4 mmol EDTA/L, 50 mmol NaF/L, 0.5 mmol PMSF/L, 1 mmol/L DTT, and 250 mmol sucrose/L using a Polytron homogenizer (PTA-7).
The assays for 6-phosphofructo 1-kinase (PFK-1, EC 2.7.1.11),
fructose-1,6-bisphosphatase 1 (EC 3.1.3.11), pyruvate kinase (EC
2.7.1.40), glucose 6-phosphate dehydrogenase (EC 1.1.1.49) and
6-phosphogluconate dehydrogenase (EC 1.1.1.43) activities and total
protein were modified for measurement in a COBAS MIRA S analyzer, based
on previously described procedures (Bonamusa et al. 1992
). Alanine aminotransferase (ALT, EC 2.6.1.2) and aspartate
aminotransferase (ASAT, EC 2.6.1.1) activities were assayed with kits
from Roche for routine determinations using the COBAS MIRA S automatic
analyzer. All enzyme assays were carried out at 30°C and measured at
340 nm.
The data were analyzed by ANOVA. For ADC data, we applied a two-way
ANOVA (the effects tested were type of fecal sample and diet) taking
the pooled samples from each aquarium as the unit of measurement
(n = 3). For the rest of the data (fish composition,
growth performances, and enzyme activities) we applied a one-way
ANOVA (the effect tested was diet) also taking the mean value for each
aquarium as a single number for ANOVA (n=3). In both cases,
individual mean differences were determined by Duncan's multiple range
test (Duncan 1955
). In all cases, we used a computer
program (SuperANOVA, Abacus Concepts, Berkeley, CA). Linear regressions
were also calculated with the same program.
| RESULTS |
|---|
|
|
|---|
|
![]() |
![]() |
Dry weight percentage was not affected by the level of chromic
oxide present in the diet (Table 3
). The same was true for carbon, nitrogen, protein, lipid, and
carbohydrate (Table 3)
.
|
Chromium concentration (Table 3)
was lower in the fish fed the
unsupplemented diet than in the fish fed the chromium-supplemented
diets (except D20) or the fish analyzed at the start of the experiment
(Initial). However, no differences in chromium concentration were found
in the fish fed the three chromium-supplemented diets.
No significant differences were found between initial (25.4 ± 1.3 g) or final (50.6 ± 3.7g) fish weight, nor between growth rates (SGR = 1.61 ± 0.09) of gilthead sea bream fed the experimental diets. No significant differences were found in food efficiency ratios (1.01 ± 0.06), protein efficiency ratios (1.96 ± 0.13), protein retention efficiency (34.4 ± 2.3), nitrogen retention efficiency (36.8 ± 4.0), the relative liver weight (1.81 ± 0.2), or the condition index (2.13 ± 0.07).
The chromium level in the diet did not affect blood glucose after a postprandial period of 24 h (mean of 3.54 ± 0.36 mmol/L).
The only significant difference in enzyme activity was found for alanine transaminase, which was lower in the fish fed D10 (765 ± 98 mU/mg protein) than in the fish fed the control diet (892 ± 77 mU/mg protein). Values for fish fed D5 and D20 were intermediate. A similar pattern was obtained for ASAT, but differences between fish fed D0 (974 ± 140 mU/mg protein) and those fed D10 (807 ± 305 mU/mg protein) were not significant (P = 0.19).
| DISCUSSION |
|---|
|
|
|---|
We found no differences in ADC of elements characteristic of the
organic fraction of the food, such as carbon and nitrogen, caused by
dietary chromic oxide. These results are consistent with those obtained
in tilapia by Shiau and Shy (1998)
for protein, lipid, and dry matter
digestibilities. However, our results contradict those of Shiau and Liang (1995)
and Tacon and Rodrigues (1984)
, detailed in the
introduction.
We found that fish fed diets with different chromium concentrations had
ADC differences for mineral components, such as calcium and phosphorus,
with a maximum ADC for the diet with the lowest chromic oxide
concentration (in this case, 5 g/kg). A possible reason for these
differences could be a direct interference of chromic oxide with the
absorption of mineral salts, such as calcium phosphate. However,
because marine fish drink sea water for osmoregulation (Evans 1993
), it is possible that the high level of chromic oxide in
the diet caused an increase in the amount of sea water drunk by the
fish and, therefore, in the mineral salts entering the gut (Ca is
particularly abundant in sea water).
Because calcium and phosphates constitute a large proportion of the ash
consumed, our results again do not agree with those of Tacon and
Rodrigues (1984)
cited above. When using chromic oxide as marker for
ADC calculations, they found significant ADC differences for ash ADC
among fish fed diets supplemented with 5, 10, and 20 g chromic
oxide/kg, but their higher ADC appeared in the fish fed the diet
supplemented with 20 g chromic oxide/kg, whereas the lowest
corresponded to those fed the diet supplemented with 10 g chromic
oxide/kg.
We found that the dry weight concentration of organic compounds, such
as protein and lipids, or main elements, such as carbon and nitrogen,
were unaffected in gilthead sea bream by the chromium content
of the diet (Table 3)
. The protein and lipid data are consistent with
those of Ng and Wilson (1997)
and Shiau and Shy (1998)
.
Our data suggest that fish fed D5 retain more Ca, P, and ash than those
fed diets with either higher or lower levels of chromic oxide. Data of
Shiau and Shy (1998)
also confirm a maximum ash content in tilapia fed
diets supplemented with 5 g chromic oxide/kg, although this was
the maximum level of chromic oxide they used, and the results are not
directly comparable because they included glucose instead of
gelatinized starch as the carbohydrate source in their diets.
The diet with 5 g chromic oxide/kg was that with the highest ADC
for Ca and P, and digestibility and deposition may be related. However,
apart from assimilation, the deposition of mineral salts depends on
other functions, such as excretion, which can be regulated by the fish
(Evans 1993
). Therefore, we do not know whether there is
a causal connection or a simple coincidence between these two
processes.
Fish fed the chromium-supplemented diets had higher chromium
contents than those fed the nonsupplemented diet (Table 3)
. One
possible explanation is that chromic oxide is not an inert marker, and
that there is substantial absorption of chromium, in the form of
chromic oxide or other chromium derivatives produced by digestion,
through the intestinal wall.
Another explanation, suggested by Ng and Wilson (1997)
to explain the
results of Shiau and Liang (1995)
, is the possible incorporation
through the fish's gills of the chromium present in the aquarium water
resulting from the fish voiding their chromium-containing feces in
the aquarium water. Even with an efficient turnover of the aquarium
water, the chromium concentration could be higher than in the aquariums
containing fish fed the control diet.
A third explanation could be that the chromium content of the fish follows the same pattern that we found for other inorganic nutrients (calcium, phosphate, ashes), increasing its concentration in the fish fed the diets supplemented with chromic oxide, with a maximum at a chromic oxide level around 510 g/kg. This increase could have more to do with a higher retention of the natural chromium present in the diet than with the absorption of the supplemented chromic oxide.
The fish analyzed at the start of the experiment had levels of chromium
that were even higher than those found in the fish fed any of the
chromium diets. However, this was true also for calcium, phosphorus,
and ash. This would indicate a natural decrease in the mineral salt
concentration of dry matter as the fish grow from ~25 to ~50g.
There are indications that mineral content of the fish decreases with
size (Shearer 1984
). This natural decrease would be
balanced by chromic oxide supplementation of the diet.
Our results for specific growth rate, the food efficiency ratio, and
the protein efficiency ratio are consistent with those of Shiau and Liang (1995)
, who did not find any differences for these variables
between tilapia fed diets containing raw cornstarch as the carbohydrate
source and 5 or 20 g chromic oxide/kg supplementation, although
they did find significant differences between fish fed glucose diets
supplemented with these same levels of chromic oxide.
Growth performances measured in this work were obtained in fish fed
diets containing gelatinized cornstarch as the only carbohydrate
source, but our results for weight gain, FER, and PER, are consistent
with those of Ng and Wilson (1997)
and Shiau and Shy (1988)
obtained
with fish fed glucose diets.
Our finding that PFK-1 did not differ among groups is in agreement with
data of Shiau and Chen (1993)
who fed tilapia raw cornstarch diets with
0 and 20 g chromic oxide/kg, but differs from the results found by
these same authors using tilapia fed glucose diets, where significant
differences in PFK-1 activity were found.
In conclusion, the inclusion of chromic oxide in the diet of Sparus aurata, at 5, 10, and 20 g/kg, does not have any effect on digestibility, body composition, or growth performance of the primary organic constituents (carbon, nitrogen, dry matter, protein, and lipid), but affects digestibility and body composition of mineral constituents, such as phosphorus, calcium, chromium, and total ash, which generally seem to be utilized better at the inclusion level of 5 g chromic oxide/ kg when compared to both the control diet without chromic oxide or diets with higher levels of chromic oxide inclusion.
| ACKNOWLEDGMENTS |
|---|
| FOOTNOTES |
|---|
3 Abbreviations used: ADC, apparent digestibility
coefficient; ALT, alanine aminotransferase (EC 2.6.1.2); AR, samples
obtained from the anterior region of intestine; ASAT, aspartate
aminotransferase (EC 2.6.1.1); CI, condition index; DOD20, diets with
020 g/kg of chromic oxide; FBPase-1, fructose-1,6-bisphosphatase 1
(EC 3.1.3.11); FER, food efficiency ratio; MS-222, tricaine;
NRE, nitrogen retention efficiency; PER, protein efficiency ratio;
PFK-1, 6-phosphofructo 1-kinase (EC 2.7.1.11); PR, samples obtained
from the posterior region of intestine; PRE, protein retention
efficiency; RLW, relative liver weight; RR, samples obtained from the
rectum; SGR, specific growth rate; STR, samples of intestine obtained
by stripping; VF, voided feces obtained by pippeting. ![]()
Manuscript received August 17, 1998. Initial review completed October 11, 1998. Revision accepted February 9, 1999.
| REFERENCES |
|---|
|
|
|---|
1. Anderson R. A. Nutritional factors influencing the glucose/insulin system: Chromium. J. Am. Coll. Nutr. 1997;16:404-410[Abstract]
2. Bonamusa L., García de Frutos P., Fernández F., Baanante I. V. Nutritional effects on key glycolitic-gluconeogenic enzyme activities and metabolite levels in the liver of the teleost fish Sparus aurata. Mol. Mar. Biol. Biotech 1992;1:113-125
3. Bondi A. A. Animal Nutrition 1987 John Wiley and Sons Ltd Chichester, U.K.
4. Bowen S. H. Chromic oxide in assimilation studies-a caution. Trans. Am. Fish. Soc. 1978;107:755-756
5. Davis C. M., Vincent J. B. Chromium in carbohydrate and lipid metabolism. J. Biol. Inorg. Chem. 1997;2:675-679
6. De Silva S., Anderson T. A. Fish Nutrition in Aquaculture 1995 Chapman and Hall London, UK.
7. Duncan D. Multiple range tests and multiple range F tests. Biometrics 1955;11:1-42
8. Evans D. H. Osmotic and ionic regulation. Evans D. H. eds. The Physiology of Fishes 1993:315-341 CRC Press Boca Raton, FL.
9. Fernández F., Miquel A. G., Cumplido L. R., Guinea J., Ros E. Comparisons of faecal collection methods for digestibility determinations in gilthead sea bream. J. Fish Biol. 1996;49:735-738
10. Fernández F., Miquel A. G., Guinea J., Martínez R. Digestion and digestibility in gilthead sea bream (Sparus aurata): The effect of diet composition and ration size. Aquaculture 1998;166:67-84
11. Furukawa A., Tsukahara H. On the acid digestion method for the determination of chromic oxide as an index substance in the study of digestibility of fish feed. Bull. Jpn. Soc. Sci. Fish. 1966;32:502-506
12. Helrich K. eds. Official Methods of Analysis 15th ed. 1990 Association of Official Analytical Chemists Arlington, VA.
13. Jobling M. Fish Bioenergetics 1994 Chapman & Hall London, UK.
14.
Ng W.-K., Wilson R. P. Chromic oxide inclusion in the diet does not affect glucose utilization or chromium retention by channel catfish, Ictalurus punctatus. J. Nutr. 1997;127:2357-2362
15. Ringo E. Does chromic oxide (Cr2O3) affect faecal lipid and intestinal bacterial flora in Arctic charr: Salvelinus alpinus (L.)?. Aquacult. Fish. Manage. 1993;24:767-776
16. Shearer K. D. Changes in elemental composition of hatchery-reared rainbow trout, Salmo gairdneri, associated with growth and reproduction. Can. J. Fish. Aquat. Sci. 1984;41:1592-1600
17. Shiau S. Y., Chen M. J. Carbohydrate utilization by tilapia (Oreochromis niloticus x O. aureus) as influenced by different chromium sources. J. Nutr. 1993;123:1747-1753
18. Shiau S. Y., Liang H. S. Carbohydrate utilization and digestibility by Tilapia, Oreochromis niloticus x O. aureus, are affected by chromic oxide inclusion in the diet. J. Nutr. 1995;125:976-982
19. Shiau S. Y., Shy S. M. Dietary chromic oxide inclusion level required to maximize glucose utilization in hybrid tilapia. Oreochromis niloticus x O. aureus. Aquaculture 1998;161:357-364
20. Tacon A.G., J & Rodrigues A.M.P. Comparison of chromic oxide, crude fiber, polyethylene and acid-insoluble ash as dietary markers for the estimation of apparent digestibility coefficients in rainbow trout. Aquaculture 1984;43:391-399
21. Talbot C. Laboratory methods in fish feeding and nutritional studies. Tytler P. Calow P. eds. Fish Energetics: New Perspectives 1985:125-154 Croom Helm London, UK.
22. Wilson R. P. Review: Utilization of carbohydrate by fish. Aquaculture 1994;124:67-80
| |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||