Aquatic Toxicology 70 (2004) 179–188
Tissue-specific Cu bioaccumulation patterns and differences in
sensitivity to waterborne Cu in three freshwater fish: rainbow trout
(Oncorhynchus mykiss), common carp (Cyprinus carpio),
and gibel carp (Carassius auratus gibelio)
Gudrun De Boeck∗ , Wouter Meeus, Wim De Coen, Ronny Blust
Ecophysiology, Biochemistry and Toxicology Group, Department of Biology, University of Antwerp,
Groenenborgerlaan 171, B-2020 Antwerp, Belgium
Received 6 June 2003; received in revised form 26 July 2003; accepted 12 July 2004
Abstract
Rainbow trout (Oncorhynchus mykiss), common carp (Cyprinus carpio) and gibel carp (Carassius auratus gibelio) were
exposed to copper (1–20 M) in softened Antwerp City tap water at pH 7.3 ± 0.1 and with a water hardness of 292.4 ± 8.1 mg/L
CaCO3 (Ca 100.8 ± 3.0 mg/L; Mg 11.0 ± 0.2 mg/L). LC50s (96 h) were determined and copper accumulation in gills, liver,
and kidney assessed over a 10-day period. Rainbow trout (96 h LC50: 3.3 M/210 g/L) were three times more sensitive to
Cu exposure than common carp (96 h LC50: 10.4 M/661 g/L) and almost seven times more sensitive than gibel carp (96 h
LC50: 22.0 M/1398 g/L). After 96 h, the incipient lethal level (ILL) was reached for common carp, and by the end of the
experiment (>120 h) also for rainbow trout. The ILL was never reached for gibel carp. Survival analysis confirmed the differences
in sensitivity shown by the 96 h LC50 values. At 1 M Cu, the relative risk to die was six to seven times greater for rainbow
trout as for common or gibel carp, respectively, while it was 9000 and 19,000 times greater at 5 M Cu. Only the environmental
Cu concentrations contributed significantly (P < 0.001) to the Time-To-Death (TTD). Tissue Cu concentrations did not relate to
TTD. Among species, a clear difference in metal handling was apparent, with high liver residues and liver accumulation rates
for the most sensitive species, the rainbow trout, and lower liver but higher kidney residues and kidney accumulation rates for
the most resistant species, the gibel carp. Gill concentrations and accumulation rates were lowest in the sensitive rainbow trout.
© 2004 Published by Elsevier B.V.
Keywords: Cu accumulation; LC50; Rainbow trout; Common carp; Gibel carp; Crucian carp
1. Introduction
∗
Corresponding author. Tel.: +32 3 2653347; fax: +32 3 2653497.
E-mail address: gudrun.deboeck@ua.ac.be (G. De Boeck).
0166-445X/$ – see front matter © 2004 Published by Elsevier B.V.
doi:10.1016/j.aquatox.2004.07.001
It is well established from ecotoxicological studies that different organisms, even with the same life
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G. De Boeck et al. / Aquatic Toxicology 70 (2004) 179–188
history and under identical exposure conditions, show
species specific sensitivities for different kinds of pollutants. However, the mechanisms underlying these differences are not well understood. When examining the
toxicity of substances, assessing the lethal concentration at which 50% mortality occurs over a 96-h time
interval (96 h LC50) is a standard procedure, which
allows comparing different fish species without requiring a prior understanding of the mechanisms involved
(Connell et al., 1999). For freshwater fish, the toxicity
of heavy metals such as copper depends strongly on the
water chemistry and temperature, the size and condition of the organisms, and the season (Shaw and Brown,
1974; Howarth and Sprague, 1978; Peres and Pihan,
1991; Vittozzi and De Angelis, 1991). Therefore, reported LC50 values for each organism vary considerably, which makes it difficult to compare sensitivities
among different species and studies.
One of the first effects that can be observed after Cu
exposure of freshwater fish is a reduction in sodium uptake. This decreased uptake is caused by an inhibition
of the Na+ /K+ -ATPase at the Mg2+ binding site (Li et
al., 1996), with possible additional effects of a competitive nature between sodium and copper at the apical
side (Grosell and Wood, 2002) where copper probably
passes through a Cu-specific channel or leaks through
a sodium channel (Handy et al., 2002). At higher ambient Cu levels, such as the concentrations typically
used in LC50 experiments, sodium efflux and respiratory problems can occur. The differences in respiratory
physiology, including differences in ventilation rates
and volumes, can lead to different exposure doses and
thus different toxic responses (Alabaster and Lloyd,
1980). These differences in respiratory responses to a
pollutant might be important. Some fish species, such
as trout, respond to increased (0.08–0.47 mol/L) water copper levels with increased respiration and ventilation rates (Beaumont et al., 1995), while others like
carp seem to switch to a lower metabolic rate (De Boeck
et al., 1995) at similar levels (0.34–0.84 mol/L). This
will cause a difference in the amount of water, and
thus toxicant, that passes over the gills (McKim and
Erickson, 1991). In this study, we compared Cu toxicity for three freshwater fish with different responses
and resistances towards hypoxia. We used three different freshwater fish species: (1) rainbow trout (Oncorhynchus mykiss), a typical salmonid which requires
high ambient oxygen levels, and starts to hyperventilate
as soon as oxygen uptake is compromised; (2) common
carp (Cyprinus carpio), a typical cyprinid which can
tolerate low oxygen levels for extended periods of time;
and (3) gibel carp (Carassius auratus gibelio), which
is closely related to the crucian carp (Carassius carassius) and the goldfish (Carassius auratus), and can tolerate total anoxia for several hours to weeks due to their
exceptional metabolism that produces ethanol instead
of lactate as an end product of anaerobic metabolism.
These cyprinids do not hyperventilate that easily when
confronted with low oxygen uptake, and rather reduce
their energy consumption by lowering their activity.
Acute 96 h LC50 values for copper toxicity, supplied by the database of the US Environmental Protection Agency (http://www.epa.gov/ecotox), vary between 32 and 5100 g/L total copper for Oncorhynchus
mykiss (Wilson et al., 1994; Buhl and Hamilton, 1990,
respectively), between 4 and 160,000 g/L total copper for Cyprinus carpio (Kaur and Dhawan, 1994;
Deshmukh and Marathe, 1980, respectively), and between 36 and 1380 g/L total copper for Carassius auratus (Pickering and Henderson, 1996; Johnson and
Finley, 1980, respectively). From these data, it is impossible to derive a reliable estimate on how these
species relate towards each other where Cu sensitivity
is concerned. This study reports the results of a simultaneous 96 h LC50 experiment for rainbow trout, common carp and gibel carp, exposed to copper (1–20 M).
Copper accumulation in gills, liver, and kidney were determined in the fish that died during the exposure, and in
surviving fish after 10 days of exposure. We examined
if any quantitative relationship between time-to-death
and tissue copper accumulation occurred.
2. Methods and materials
2.1. Animal holding
Rainbow trout, Oncorhynchus mykiss, were
obtained from a local trout farm ‘La fontaine aux
truites’, Gérouville, Belgium; gibel carp, Carassius
auratus gibelio, were obtained at ‘Van Stalle Fish
Farm’, Grimbergen, Belgium. Common carp, Cyprinus carpio, were obtained from the fish hatchery at
the Wageningen University, The Netherlands. All fish
were kept at the University of Antwerp at 17 ± 1 ◦ C in
softened Antwerp City tap water for at least 2 months
before exposure. Fish were fed ad libitum once a
G. De Boeck et al. / Aquatic Toxicology 70 (2004) 179–188
day with either ‘Pond Sticks’ (Tetrapond, Henckel,
Germany) for common and gibel carp, or ‘Trouvit’
(Trouw Nutrition, Fontaine-les-Vervins, France) for
rainbow trout.
2.2. Experimental set-up
Experiments were conducted at 17 ± 1 ◦ C in a flowthrough system consisting of six mixing aquaria (50 L)
connected to 12 aquaria (120 L), containing the fish.
The photoperiod was set at 16-h light period, 8-h dark
period. Flow of softened Antwerp City tap water was
set to 600 L a day for each aquarium (five volumes).
Water was dechlorinated by aeration in two 3600 L
tanks for 24 h before use. Water levels of Ca, Mg, Na
and K were checked at regular intervals, and remained
at the following levels: Ca 100.8 ± 3.0 mg/L; Mg 11.0
± 0.2 mg/L; Na 36.7 ± 1.2 mg/L and K 4.6 ± 0.1 mg/L
(n = 30, mean ± S.D.). This resulted in a water hardness of 292.4 ± 8.1 mg/L CaCO3 . Water quality was
checked daily: pH was 7.3 ± 0.1 (n = 15, mean ±
S.D.), oxygen concentrations remained above 90% saturation and ammonia concentrations below 0.1 mg/L at
all times.
For the exposure experiments, fish of comparable
size were selected. Mean weights ± S.D. were 64.2
± 28.3 g for rainbow trout, 60.6 ± 27.8 g for common
carp, and 65.6 ± 21.8 g for gibel carp (n = 50 for each
species). In a first series of exposures, three groups of
10 fish per species were exposed to 0, 1.0 or 5.0 M
of Cu in separate aquaria. For each species, a second
series with two additional groups were exposed to different Cu concentrations: rainbow trout were exposed
to intermediate concentrations of 2.5 and 4.0 M of
Cu, while common and gibel carp were exposed to
15.0 and 20.0 M of Cu. Fish were not fed during
the experiment. Copper was added as copper nitrate
(Cu(NO3 )2 ·2H2 O, Merck, Darmstadt, Germany) to the
mixing aquaria both manually (at the start of the experiment), and with a peristaltic pump (Watson Marlow
505 S) during the entire experiment.
2.3. Sampling procedures
During the first 12 h of each experimental period,
aquaria were checked for mortality every hour, thereafter every 24th hour for a period of 10 days. Fish that
were no longer breathing and did not respond when
181
touched were considered dead and were removed from
the aquarium. After the 10-day period remaining fish
(survivors) were quickly netted and killed by an overdose of buffered MS 222 (1 g/L at pH 7.5, Across Organics, Geel, Belgium). All fish were weighed, measured and immediately dissected on ice: gill lamellae,
liver tissue and kidney were rinsed with physiological saline (0.9% NaCl), frozen in liquid nitrogen, and
stored at −20 ◦ C for copper determination. Total Cu
concentration was determined using atomic absorption spectrophotometry (Varian SpectrAA 800). Tissue samples were dried for 24 h at 60 ◦ C, weighed, dissolved in 70% HNO3 , placed in a micro wave until total
digestion had occurred and diluted with Milli-Q grade
water (Millipore, Bedford, MA, USA). Since for all tissues (except common carp gills) Cu levels in the tissues
of fish that had died during the experiment were in the
same range as Cu levels in survivors, we assume that
post-mortem Cu accumulation between time of dead
and sampling was minimal.
The chemical speciation of copper was calculated
using MINTEQA2 (Allison et al., 1991), using stability
constants and enthalpies for inorganic copper species
extracted from the critically selected stability constants
of metal complexes database (Martell, 2001). The following copper species and associated thermodynamic
stability constants were considered in the calculations:
log K CuCl+ = 0.40, CuSO◦4 = 2.36, CuOH+ = 6.01,
Cu(OH)◦2 = 11.75, CuCO◦3 = 6.74, CuHCO◦3 = 12.25,
Cu(CO3 )2 2− = 10.57. The effect of ionic strength on
the activity coefficients of the chemical species was
calculated using the Davies equation.
2.4. Statistics
All values are given as mean ± S.D., except for the
lethal concentrations in Table 1, which are means with
95% confidence intervals. These acute LC50 and LC10
values, or lethal concentrations at which 50 or 10%
mortality occurs over a given time interval, were calculated by probit analysis using Minitab 14 (Minitab Inc.,
State College, PA, USA). Accumulation rates shown in
Table 2 were calculated using the assumption that the
average values of the control group represented the levels in non-exposed fish at the start of the experiment.
Statistical differences between Cu concentrations
and accumulation rates were calculated by one-way
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G. De Boeck et al. / Aquatic Toxicology 70 (2004) 179–188
Table 1
LC50 and LC10 values with 95% confidence intervals at different points in time using Probit analysis
Oncorhynchus mykiss
Cyprinus carpio
Carassius auratus gibelio
LC50
LC10
LC50
LC10
LC50
LC10
24 h
48 h
72 h
96 h
168 h
6.1 (5.7–7.1)
5.0 (4.6–5.2)
24.5 (22.9–29.1)
19.6 (17.8–20.6)
ND
ND
4.8 (4.6–4.9)
4.4 (4.2–4.5)
20.7 (20.2–21.2)
17.9 (16.5–18.7)
ND
ND
3.7 (3.6–3.9)
3.7 (3.6–3.9)
12.0 (11.0–12.9)
8.4 (6.6–9.6)
ND
ND
3.3 (3.2–3.5)
2.4 (2.1–2.6)
10.4 (9.3–11.6)
7.6 (6.1–8.8)
22.0 (20.4–24.2)
11.7 (9.5–13.3)
3.0 (2.9–3.1)
2.4 (2.2–2.6)
10.4 (9.3–11.6)
7.6 (6.1–8.8)
8.1 (7.2–9.1)
4.2 (3.3–4.9)
Values are given as M of measured total Cu (ND: not determined, no mortalities occurred).
Table 2
Copper concentrations and calculated accumulation rates in different tissues of control fish and fish exposed to 1 M Cu for 240 h
Gill
Liver
Kidney
Oncorhynchus mykiss
Cyprinus carpio
Carassius auratus gibelio
Oncorhynchus mykiss
Cyprinus carpio
Carassius auratus gibelio
Oncorhynchus mykiss
Cyprinus carpio
Carassius auratus gibelio
Control (g/g dry weight)
1 M Cu (g/g dry weight)
Accumulation rate (g/g/day)
2.6 ± 0.9
4.8 ± 0.4aaa
3.9 ± 0.8aa,b
319.4 ± 143.2
50.5 ± 21.7aaa
18.8 ± 10.4aaa
10.5 ± 1.6
14.0 ± 2.0
26.9 ± 8.2aaa,bbb
14.4 ± 4.1***
31.1 ± 5.6***,aaa
35.8 ± 11.0***,aaa
454.9 ± 225.4
141.4 ± 27.3***,aaa
29.6 ± 12.5*,aaa,bbb
17.1 ± 5.5***
24.7 ± 3.6***
55.3 ± 10.7***,aaa,bbb
1.12 ± 0.39
2.53 ± 0.54aaa
3.05 ± 1.05aaa
12.85 ± 21.39
8.72 ± 2.65
1.03 ± 1.19
0.63 ± 0.52
1.03 ± 0.34
2.71 ± 1.02aaa,bbb
Values are mean ± S.D., n = 10; (*) significantly different from control; (a) significantly different from Oncorhynchus mykiss; (b) significantly
different from Cyprinus carpio; one symbol: P < 0.05; two symbols: P < 0.01; three symbols: P < 0.001.
analysis of variance (ANOVA), followed by a
Tukey–Kramer multiple comparisons test (Statistica 6,
StatSoft, Tulsa, OK, USA). Statistical significance was
assigned at P < 0.05. For time-to-death (TTD) analysis
we used the Cox proportional risk model to calculate
TTD, factors contributing to TTD, and correlations between Cu concentrations in water and tissues samples
and TTD (Statistica 6, StatSoft, Tulsa, OK, USA).
3. Results
Measured total [Cu] in each exposure was on average 93.8 ± 8.5% (n = 15) of nominal Cu. Modelled
free [Cu2+ ] was on average 64.0 ± 11.9% (n = 15) of
measured total [Cu] and differences among exposure
tanks were related to small differences in pH. LC50
values as measured total concentrations are given in
Table 1. For gibel carp, only 96 and 168 h LC50 values
could be determined since no mortality occurred before that time. Rainbow trout appeared to be four times
more sensitive to Cu as common carp during the first
2 days of exposure, but only three times as sensitive
afterwards. Gibel carp showed to be seven times more
tolerant as rainbow trout, and more than twice as tolerant as common carp. However, towards the end of
the experiment gibel carp showed to be more sensitive
to Cu, with 20% mortality after 168 h at 5 M of Cu
(compared to no mortality for common carp). The incipient lethal level (ILL), or the concentration below
which 50% of the organisms will live indefinitely, was
reached after 96 h of exposure for common carp. This
was also true for rainbow trout after 168 h of exposure. No more deaths were reported between 120 h of
exposure up to the end of the experiment (240 h). ILL
from this study was about 3 M (191 g/L) for rainbow
trout and 10 M (635 g/L) for common carp. Since
for gibel carp relatively little mortality occurred late in
the experiment, ILL was not reached.
Survival analysis takes the survival times of a group
of subjects, and generates a survival curve that shows,
compared to a baseline curve, how many of the members remain alive over time without having to wait until
the last member of the group has actually died. It also
G. De Boeck et al. / Aquatic Toxicology 70 (2004) 179–188
183
1e+5
Oncorhynchus mykiss
Cyprinus carpio
Carassius auratus gibelio
Relative risk
1e+4
1e+3
1e+2
1e+1
1e+0
1e-1
0
5
10
15
20
25
Total copper (µM)
Fig. 1. The relative risk to die at different Cu concentrations, calculated by the Cox proportional risk model (see Section 3 for more details on
the model) for rainbow trout, Oncorhynchus mykiss, common carp, Cyprinus carpio, and gibel carp, Carassius auratus gibelio.
allows determining whether the survival curve is influenced by one or more factors, called predictors. In our
study we used the Cu concentration in the water, the
weight and length of the fish, and the tissue Cu concentrations in gill, liver and kidney as predictors. The
model yields a β-value that allows the calculation of
a ‘relative risk to die’ under each exposure condition.
These data are shown in Fig. 1. Although the model
does not allow calculation of error estimates, the results illustrate some clear-cut differences between the
species. We found that this risk was six to seven times
greater for rainbow trout compared to common or gibel
carp at 1 M Cu, while it was 9000 and 19,000 times
greater at 5 M Cu. Only the environmental exposure
Cu concentrations played a significant role in the risk
to die or time-to-death (TTD) during this short-term
experiment (P < 0.001 for all species). Cu tissue concentrations or size of fish did not play a significant role
(P > 0.05 for all species).
The analysis allows calculating correlations between TTD and the different predictors. For all three
species, we found a significant negative correlation between TTD and the Cu concentration in the water (R =
−0.81 for rainbow trout (n = 21); R = −0.98 for common (n = 19) and gibel carp (n = 23)). This corresponds
well with the pronounced effect on the survival curve.
For rainbow trout, a positive correlation was found be-
tween gill Cu concentration and water Cu concentration (R = 0.54, n = 21), but no significant correlation
existed between gill Cu concentrations and TTD. In
common carp, gill Cu concentrations were correlated
with water Cu concentrations (R = 0.59, n = 19), as
well as with TTD (negatively correlated: R = −0.54,
n = 19). A significant correlation existed between Cu
levels in liver and kidney tissue (R = 0.64, n = 19). For
gibel carp, the only significant correlation was found
between Cu concentrations in gill and liver tissue (R
= 0.47, n = 23). No other significant correlations were
found.
In general, relationships between water Cu concentrations and tissue Cu concentrations were poor or absent. This could originate from the different survival
times, which were sometimes rather short. Considering survivors only, we see a more uniform pattern with
a better correlation between water and tissue Cu concentrations (results not shown). Fig. 2 shows the survival time in relation to the tissue Cu concentrations.
It clearly demonstrates the lack of a relationship between tissue Cu concentrations and time to death, as
most of the tissue concentrations in the death fish are
in the same range as concentrations in the survivors
(killed at 240 h). Some remarkable species-specific
differences become apparent when comparing the
tissue Cu concentrations. Care must be taken in
Survival time (hours)
G. De Boeck et al. / Aquatic Toxicology 70 (2004) 179–188
Oncorhynchus mykiss
184
240
240
240
192
192
192
144
144
144
96
96
96
48
48
48
0
0
Survival time (hours)
100
200
300
400
0
0
200
400
600
800 1000
240
240
240
192
192
192
144
144
96
96
48
48
0
0
0
Survival time(hours)
Carassius auratus gibelio
Cyprinus carpio
0
100
200
300
400
0
200
400
600
800 1000
192
192
144
144
144
96
96
96
48
48
48
0
80
100
0
20
40
60
80
100
0
192
400
60
48
240
100
200
300
Cu concentration (µg/g)
Gill
40
96
240
0
20
144
240
0
0
0
200 400 600 800 1000
Cu concentration (µg/g)
Liver
0
0
20
40
60
80
Cu concentration (µg/g)
Kidney
100
Fig. 2. Survival time in relation to gill, liver and kidney copper concentrations (g/g dry weight) for rainbow trout, Oncorhynchus mykiss,
common carp, Cyprinus carpio, and gibel carp, Carassius auratus gibelio exposed to different Cu concentrations (0–20 M). Data given for
dead (black circles), surviving (grey circles) and control (white diamonds) fish.
comparing the data since exposure concentrations for
the different fish are not necessarily the same. The
results clearly show that liver Cu concentrations for
rainbow trout are much higher than for the two other
species even before exposure started, and this remains
the case despite the fact that rainbow trout were exposed to much lower Cu levels. When comparing common and gibel carp, which were exposed to the same
range of Cu levels, a clear difference in gill Cu accumulation occurred, with much higher levels in common
carp gills (the only tissue that showed a correlation with
TTD). In fact, Cu levels in gibel carp gills were in the
same range as those in rainbow trout, while the exposure levels showing mortality were at least three to four
times higher. Liver Cu levels hardly increased in gibel
carp, while in common carp an increase can be observed compared to the non-exposed control fish. The
opposite seems to be true for kidney levels, where Cu
levels for gibel carp accumulated up to twice the levels
in common carp and rainbow trout.
To enable a comparison between all three species,
Table 2 gives the tissue Cu levels for the control and
lowest exposure concentration (1 M), which was sublethal to all three species. All tissues from the three
species accumulated Cu; except for trout liver where
variation in Cu levels among individuals was so large
that the 42% increase was not significant. Cu levels in
control rainbow trout gills were lower than in common
and gibel carp gills, and the increase of the Cu level in
these gills also remained low. Thus the low Cu accumulation levels demonstrated in Fig. 2 are not only the
consequence of the lower exposure concentration, but
also of the low accumulation rate. At this low Cu exposure we see no evidence for the massive increase in
Cu in common carp gills, as was observed for the fish
that had died. Accumulation rates even remained below
G. De Boeck et al. / Aquatic Toxicology 70 (2004) 179–188
those for gibel carp gills, which showed only limited Cu
accumulation at lethal concentrations. Liver Cu levels
of rainbow trout were considerably higher than those of
common carp, which in turn were higher than the gibel
carp levels. The increase in Cu residues in gibel carp
liver were minor compared to the increase observed in
rainbow trout and common carp liver. Gibel carp, on
the other hand, had higher kidney Cu levels and accumulated more Cu in the kidney during the experiment.
These effects correspond with the observations made
at the lethal exposure concentrations.
4. Discussion
LC50 values (96 h) from this study were 210 g/L
(3.3 M) for rainbow trout, 660 g/L (10.4 M) for
common carp and 1400 g/L (22.0 M) for gibel
carp. In a recent comparative study, Sappington et al.
(2001) found 96 h LC50 for rainbow trout of 80 g/L.
Other trout species in that study had 96 h LC50 values in the same range, while 96 h LC50 values of
the cyprinids tested (fathead minnow, bonytail chub
and Colorado pikeminnow) ranged between 220 and
470 g/L. However, fish used in that study were considerably smaller (below 1 g) and the water hardness
was lower (160–180 mg/L as CaCO3 ). Considering
species mean acute values normalised for a hardness of
50 mg/L CaCO3 as given in the ambient water quality
criteria for copper (US EPA, 1985), yields 42.5 g/L
for rainbow trout, 156.8 g/L for common carp, and
157.1 g/L for goldfish, a relative of the gibel carp.
Normalising our own data to a hardness of 50 mg/L
CaCO3 using the same conversion formula (LC50 at
50 mg/L = eln(LC50) − 0.9422 × (ln(hardness) − ln(50)) ) gives
96 h LC50 values of 40 g/L for rainbow trout,
125 g/L for common carp and 265 g/L for gibel
carp. These values are comparable for rainbow trout
and common carp, but gibel carp clearly differ from
the values obtained for goldfish. Thus, it appears that
freshwater salmonids and cyprinids in general differ
with a factor 3 in sensitivity towards Cu toxicity. Our
study shows that gibel carp are considerably more tolerant to Cu during the first few days of exposure. Although LC50 values only differ by a factor 3–10, the
actual impact of Cu exposure at a given concentration
can be over 10,000 times higher for the more sensitive
species, as indicated by the risk analysis.
185
Some remarkable differences in Cu accumulation
occur between species. Gill Cu concentrations and Cu
accumulation rates in rainbow trout are significantly
lower than in common or gibel carp. Normally, gill Cu
levels reach a steady state after 2–3 days in rainbow
trout (Grosell et al., 1996), and Cu levels in tissues
other than gill and liver accumulate only when excess
Cu from the liver spills over to other tissues (Laurén
and McDonald, 1987a,b). The reason for the low accumulation rates in rainbow trout gills could be twofold. Either Cu enters slowly at the apical site, or the
binding capacity for Cu within the cells is low and Cu
excretion on the basolateral side is fast. Our measurements show that rainbow trout have excessively high
Cu levels in the liver compared to the two cyprinids,
even before the Cu exposures started. Also accumulation rates are the highest for rainbow trout liver. This
suggests that Cu does enter the bloodstream swiftly,
and the low accumulation rate in the gills is not caused
by a low apical entry. Other studies confirm the high
Cu levels in the liver for juvenile (140–150 g) rainbow trout: 46–47 g/g wet weight (Handy, 1992), or
60 g/g wet weight (Dethloff et al., 1999) with dry
weight values being about five-fold the wet weight values (own measurements). The discrepancy between Cu
accumulation in common carp gills at lethal and sublethal exposure concentrations might be explained by
physical gill damage which allows the Cu to enter the
gills in large amounts only at the lethal concentrations
where the damage occurs. Moreover, gill histology of
common carp during Cu exposure in a 10-day experiment, showed more severe gill damage during the first
days of exposure compared to the two other species
(De Boeck et al., 2001 and unpublished results).
It is remarkable that hardly any negative correlation
between TTD and a tissue Cu concentration is found.
Such a relationship could indicate that an increase of
the Cu level in this tissue is causing the toxic effects and
thus reduced survival time. The lack of a clear doseresponse relationship in the gills, or any other tissue,
could also indicate that surface related processes play
an important role in Cu toxicity. As mentioned in the
introduction, Cu can induce respiratory distress in fish,
and it is striking that the most hypoxia sensitive species
is also the most Cu sensitive species, while the gibel
carp shows to be resistant towards anoxia as well as
metal exposure. The inhibition of oxygen uptake is attributed to excessive mucus production and epithelial
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G. De Boeck et al. / Aquatic Toxicology 70 (2004) 179–188
swelling (McDonald and Wood, 1993), but as mentioned above, gill histology showed that gill damage
and epithelial swelling was more severe in common
carp than rainbow trout (De Boeck et al., 2001 and unpublished results). Second candidate is a disturbed ion
regulation in gill cells followed by osmotic influx of water causing oedema and cell rupture, as has been shown
for common carp (De Boeck et al., 2001) and rainbow
trout (Sola et al., 1995) at elevated Cu levels. Toxic effects of Cu and subsequent acclimation to Cu are consistent with the damage–repair model (McDonald and
Wood, 1993). This model includes an initial damage
phase during which the pathophysiological effects of
the metal (mainly disturbance of ionregulation) are expressed and reach maximal values, followed by a repair
phase with attendant bioenergetic cost during which the
effects diminish and may even disappear (Taylor et al.,
2000). The fast occurrence of mortality in this study
confirms the importance of this first shock phase, with
ionregulatory and respiratory distress, at least for rainbow trout. Also for common carp, this phase might be
important considering the massive Cu influx at the gills
observed at the lethal exposure concentrations. Why
this shock phase with pronounced mortality during the
first hours and days is not observed for gibel carp remains to be investigated.
In chronic studies, more subtle effects of Cu toxicity may play a role, including endocrine disrupting
effects (Handy, 2003). These effects are partially controlled by neuro-endocrine changes in the Cu exposed
fish. This might be the basis for the fact that also in
chronic studies the relation between tissue Cu concentrations and effect is weak. In a chronic Cu exposure
study with rainbow trout, it was concluded that elevated
metal burdens in the gill and liver of exposed fish were
measures of chronic copper exposure, but not of effect
(Taylor et al., 2000). Changes in gill Cu-binding characteristics offered the most promise for assessing the
effect of chronic exposure, but there was no clear-cut
relationship between water chemistry, gill Cu binding,
and toxicity. Cu accumulation under acutely lethal conditions differs from accumulation under chronic exposure conditions, where at least Cu accumulation was
found to depend on dose and time, and effects such
as tissue damage and reduced growth can to some extent be correlated with internal dose (Farag et al., 1995;
Marr et al., 1996). However, a toxicokinetic study of
Cu in rainbow trout suggested that long term water-
borne Cu exposure resulting in continued Cu accumulation in slowly exchangeable pools should not result in
toxicological consequences (Carbonell and Tarazona,
1994). Thus, even under chronic exposure conditions,
care should be taken when using Cu residues as an indicator for toxic effects.
Gibel carp, the most resistant species in this study,
has the lowest metal residues in the liver. Birge et al.
(2000) state that variation in metal body burdens among
organisms exposed under similar conditions allow an
additional means of identifying or confirming the classification of indicator organisms as sensitive, moderately tolerant, or tolerant. The caddisfly Cheumatopsyche, an opportunistic and metal tolerant organism, sustained appreciable lower metal residues and exhibited
substantially greater mean densities in their study. In
our study, this is only true for liver Cu levels and not for
gill and kidney Cu residues. However, Handy (1992)
showed that after Cu exposure, liver Cu levels represented about 60% of the total body burden and thus
present the major part of body Cu. It is clear that copper
handling between the different species is very different.
A comparison between eels and salmonids exposed to
comparable levels of Cu also indicated a marked difference between the mechanisms of copper acclimation
in both species (Grosell et al., 1996). They concluded
that enhanced excretion of metals, rather than detoxified protein-bound storage, would be a biological advantage in the long run. Perhaps the increased kidney
residues and high Cu accumulation rates in gibel kidney indicate an active role in Cu handling and excretion
in gibel carp compared to common carp and rainbow
trout. This might be part of the explanation why gibel
carp are more resistant to metal exposure.
5. Conclusion
Based on LC50 values, we conclude that Oncorhynchus mykiss is three times more sensitive to Cu
exposure than Cyprinus carpio, and seven times more
sensitive than Carassius auratus gibelio. However, this
results in a considerably larger risk for rainbow trout
when exposed to Cu: the relative risk to die at 5 M Cu
is up to 10,000 times greater for rainbow trout compared to gibel carp. No clear-cut relationships were
found between tissue Cu residues or Cu accumulation
rates and toxicity in these 10-day exposures. Surface
G. De Boeck et al. / Aquatic Toxicology 70 (2004) 179–188
related processes, such as gill damage, could therefore
play an important role in Cu toxicity. At lower Cu exposure levels, differences in metal handling become apparent, with high liver residues and liver accumulation
rates for the most sensitive species, the rainbow trout,
and lower liver but high kidney residues and kidney accumulation rates for the most resistant species, the gibel
carp. Surprisingly, gill concentrations and accumulation rates were lowest for the sensitive rainbow trout.
Acknowledgements
Gudrun De Boeck a post-doctoral fellow of the Fund
for Scientific Research-Flanders (FWO-Vlaanderen).
This research is supported by grant 1.5.197.02 from
the Fund for Scientific Research-Flanders (FWOVlaanderen) and RAFO/1 DEBOG KP00 from the University of Antwerp.
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