MARINE ECOLOGY PROGRESS SERIES
Mar Ecol Prog Ser
Vol. 382: 139150, 2009
doi: 10.3354/meps07985
Published April 30
INTRODUCTION
To date studies on marine copepod nutritional
requirements have yielded widely varying results
regarding what limits egg production, hatching and
ontogenic development. Compounds that have been
shown to be potential controlling factors of these
growth categories include many different fatty acids,
sterols and amino acids. A summary of 20 studies in
which fatty acid composition of the potential food was
measured along with copepod production (Table 1)
shows that a suite of specific fatty acids have been sig-
nificantly correlated (positively and negatively) with
copepod egg production rates (EPR) and hatching suc-
cess. From this list one can see that one study may find
a significant positive relationship between egg pro-
duction rates and the concentration of a specific
dietary fatty acid, while another study might find a
negative, or lack of (not listed in Table 1) relationship
with the same fatty acid. An example of this is the cor-
relation of EPR with the fatty acid 20:5n-3 in the diet,
whereby Broglio et al. (2003) found a positive relation-
ship, Arendt et al. (2005) found no correlation, and
Koski et al. (2006) reported a negative relationship.
The possible reasons for the inconsistent results are
numerous: different zooplankton species may have
had different requirements for growth (Hassett 2004),
the food concentrations offered have ranged from lim-
iting to super-saturating levels, the lengths of experi-
ments have varied from 1 to >10 d, and correlations in
one study may have been based on food available
(Jónasdóttir 1994) and in other studies on food
ingested (e.g. Broglio et al. 2003, Dutz et al. 2008).
However, the most likely reason for the observed
inconsistencies between the investigations is that the
different studies might have been dealing with differ-
ent nutrient limitations, that is, that some limiting com-
ponent is measured in one study but not in the others.
For example, when diatoms are offered as food, the
fatty acid 20:5n-3 (EPA) will not be the limiting compo-
nent, while specific sterols may be limiting (Hassett
2004, Klein Breteler et al. 2005). When the chlorophyte
Dunaliella, which totally lacks EPA, is used as food,
EPA is always limiting. However, Dunaliella is also
© Inter-Research 2009 · www.int-res.com*Email: sjo@aqua.dtu.dk
Assessing the role of food quality in the production
and hatching of Temora longicornis eggs
Sigrún Huld Jónasdóttir
1,
*
, André W. Visser
1
, Carsten Jespersen
2
1
Technical University of Denmark, National Institute of Aquatic Resources (DTU-Aqua), Kavalergaarden 6,
2920 Charlottenlund, Denmark
2
University of Southern Denmark, Department of Biology, Campusvej 55, 5230 Odense M, Denmark
ABSTRACT: We utilized the varying fatty acid composition of phytoplankton to create 19 different
food treatments based on different ratios of 5 potentially important fatty acids and offered these to the
copepod Temora longicornis. Egg production and hatching was monitored and related to ingested
carbon, dietary fatty acids and the utilization of maternal fatty acid reserves. Egg production rates
depended on ingested carbon and the fatty acid 20:5n-3 from the diet and from the female reserves.
Hatching success showed a significant dependence on the ingested and maternal fatty acids 22:6n-3,
18:5n-3 and 18:3n-3. Production of nauplii as a combination of egg production and hatching was
highly dependent on the fatty acid 22:6n-3 and carbon ingestion. The study confirms the importance
of n-3 polyunsaturated fatty acids for copepod reproduction and indicates that the female differen-
tially utilizes its fatty acid reserves depending on dietary fatty acid availability during reproduction
and that egg production and hatching are dependent on different dietary fatty acids.
KEY WORDS: Egg production · Hatching · Food quality · Fatty acid · Temora longicornis
Resale or republication not permitted without written consent of the publisher
Mar Ecol Prog Ser 382: 139150, 2009
deficient in other essential components, such as other
long-chain polyunsaturated fatty acids (PUFAs) and
essential sterols (Klein Breteler et al. 1999). Therefore,
artificially adding EPA to a Dunaliella diet will not
reveal an improvement in growth as the other essential
components will still limit growth. Thus, studies with a
variable availability of nutritional components have
the best potential in helping us to understand how
140
Fatty acid/sterol Fatty acid Correlation Source
short name +
Copepod species
Egg production rates
14:0 3 A, T, C 4, 7
16:0 2 T 18
18:0 2 A, C 7, 8
SAFA 1 T 16
16:1n-7 3 2 A, C 2, 7, 10
18:1 5 A, T, C 2, 7, 19
MUFA 2 T, C 7, 16
16:2n-x 1 C 10
18:2n-6 LA 2 A 4
18:3n-3 ALA 2 1 A, C 2, 12, 17
18:4n-3 SDA 3 3 A, T, C 2, 4, 13, 17
18:5n-3 1 A 2
20:4n-6 ARA
20:5n-3 EPA 7 3 A, P, C, T 2, 3, 7, 8, 10, 11, 16, 17, 18, 19
22:6n-3 DHA 8 1 A, T, C 2, 4, 7, 11, 13, 20
PUFA 3 A, C 7, 10
Total fatty acids 3 A, T, C 2, 7, 16
n-6 series 2 2 A, T 4
n-3 series 2 A 2
n-3/n-6 4 2 A, T, C 2, 4, 6, 7
22:6n-3/20:5n-3 DHA/EPA 6 2 A, T 1, 2, 4, 6, 19
16:1n-7/16:0 1 1 T, C 10, 16
Cholesterol 4 A, C 14, 15
Hatching
14:0 1 C 10
16:0 2 C 10
18:0 1 A, C 6, 10
SAFA 3 A, C, T 10, 16, 19
16:1n-7 1 C 10
18:1 1 3 A, C, T 6, 10, 16
MUFA 2 A, C 5, 7
16:2n-x 3 A, P, C 5, 9, 17
18:2n-6 3 A, P, C 5, 9, 17
18:3n-3 1 C 7
18:4n-3 2 1 T 16, 18
18:5n-3 4 A, P, T, C 5, 9, 16, 17
20:4n-6
20:5n-3
22:6n-3
PUFA 1 A 3, 11
Total fatty acids
n-6 series
n-3 series
n-3/n-6 3 1 A, C, T 6, 7, 11, 13
22:6n-3/20:5n-3 6 A, T 6, 11, 16, 19
16:1n-7/16:0 1 T 16
Cholesterol 1 A 14
Table 1. Summary of reported significant correlations between marine copepod egg production rates or egg hatching success and
various fatty acids and sterols (including ratios). +: number of studies showing significant positive correlation; –: number of stud-
ies showing significant negative correlation; SAFA: sum of saturated fatty acids; MUFA: sum of monounsaturated fatty acids;
PUFA: sum of polyunsaturated fatty acids; A: Acartia tonsa, A. hudsonica and/or A. omorii; T: Temora longicornis; C: Calanus fin-
marchicus and/or C. helgolandicus; P: Pseudocalanus newmani; Sources—1: Støttrup & Jensen (1990); 2: Jónasdóttir (1994);
3: Ederington et al. (1995); 4: Jónasdóttir et al. (1995); 5: Kleppel & Burkart (1995); 6: Jónasdóttir & Kiørboe (1996); 7: Pond et al.
(1996); 8: Kleppel et al. (1998); 9: Lee et al. (1999); 10: Jónasdóttir et al. (2002); 11: Broglio et al. (2003); 12: Hazzard & Kleppel
(2003); 13: Shin et al. (2003); 14: Hassett (2004); 15: Crockett & Hassett (2005); 16: Arendt et al. (2005); 17: Jónasdóttir et al. (2005);
18: Koski et al. (2006); 19: Peters et al. (2007); 20: Evjemo et al. (2008)
Jónasdóttir et al.: Temora reproduction and food quality
dietary nutrient composition affects production and
growth.
Another potentially important factor in nutritional
studies is the ability of the female to channel stored
body reserves into production. Some copepod species
have a better ability to store body reserves than others
(Evjemo et al. 2003), and the utilization of body
reserves for egg production also appears to be species
specific (Hassett 2006). This ability to channel stored
nutritional elements or compounds, such as nitrogen,
fatty acids and sterols, towards egg production and
growth is often not considered in copepod nutritional
studies.
The goal of the present study was to better differen-
tiate the role of certain fatty acids in the reproduction
of marine copepods. We specifically tested several
PUFAs, naturally occurring in phytoplankton at differ-
ent ratios, and related the ingested fatty acids to the
egg production and hatching success of the copepod
Temora longicornis. The choice of the phytoplankton
species used in the experiments was based on 2 crite-
ria. Firstly, they were selected according their ratios of
the fatty acids 18:3n-3, 18:5n-3, 20:4n-6, 20:5n-3 and
22:6n-3. All of these fatty acids have previously been
shown to be of some nutritional importance in repro-
ductive growth (Table 1). The second criterion was to
select phytoplankton types that had, in previous stud-
ies, been shown to result in mediocre reproduction
success, indicating that they lacked one or more nutri-
tional compounds for copepod reproduction. We pre-
sent results from a statistical model with the underly-
ing premise that certain dietary compounds control
both the rate at which copepods produce eggs and the
success rate at which they eventually hatch into nau-
plii. A portion of these dietary compounds comes
immediately from the copepod’s diet, while others are
obtained from the female’s internal reserves. Concep-
tually, we treat the female as a reservoir of various
dietary components that is continually topped up by
ingestion and emptied by the production of new eggs.
MATERIALS AND METHODS
Copepods. Experiments were conducted using the
calanoid copepod Temora longicornis originally ob-
tained from the central North Sea but cultured at the
DTU-Aqua laboratory for over a year. The cultures
were kept at about 15°C in the dark and maintained on
a mixture of the cryptophyte Rhodomonas sp., the
diatom Thalassiosira weissflogii and the dinoflagellate
Heterocapsa triquetra at a concentration of ca. 400 µg
C l
–1
. Three weeks prior to the experiments, a new cul-
ture was started with the naupliar stages only. This
ensured that at the time of the experiment the females
were at the same age, and also ensured that females
were in the same condition between experiments.
Phytoplankton. The phytoplankton used in the exper-
iments were the diatoms Thalassiosira weissflogii (TW)
and Leptocylindricus danicus (LD); the chlorophyte
Dunaliella tertriolecta (DT); the prasinophyte Tetra-
selmis suecica (TS); and the dinoflagellates Amphi-
dinium carterii (AC) and Heterocapsa triquetra (HT).
Phytoplankton was grown at 18°C in 1 to 2 l batch
cultures and B1 medium (Hansen 1989) with silica
added to the diatom cultures. The cultures were
exposed to an irradiance of 100 µmol photons m
–2
s
–1
in
a 16:8 h light:dark cycle. The algae were kept in the
exponential growth phase by daily dilutions of the cul-
ture. Cell densities were estimated by cell counts of a
minimum of 300 cells using Sedgwidge-Rafter count-
ing chambers. Average algal cell volumes were mea-
sured using a Coulter Counter with the exception of
LD for which length and width of >50 cells were mea-
sured using an inverted microscope. Cell concentra-
tions were converted to carbon using the volume-
based size according to Menden-Deuer & Lessard
(2000). Sizes, fatty acid and carbon content of the
phytoplankton are listed in Table 2.
Experiments. Six sets of experiments were con-
ducted, each with a series of phytoplankton mixtures
as shown in Table 3. Each food suspension was
adjusted to a final concentration of ca. 250 µg C l
–1
(actual range in all experiments from 225 to 276 µg C
l
–1
). Then, 13 mixture experiments and 12 single-diet
experiments were carried out. As 4 of the single diets
were repeated in some of the sets (TW [2], DT [3], LD
[3], TS [2]) this resulted in 19 different food treatments.
Ten females and 3 males were put into 630 ml exper-
imental bottles with the food suspensions. Each treat-
ment was run with 5 replicates. The bottles were
sealed without head space and placed on a rotating
(1 rpm) plankton wheel. The experiment was run for
9 d at 15°C in darkness. To avoid the potential negative
effect of the experimental food on the sperm quality
(Ianora et al. 1999), the males were replaced each day
with new ones from the stock culture. Consequently,
the fertilization potential of the produced eggs was
kept the same among all treatments and throughout
the experiment. Each day, new food suspensions were
made, females and eggs were gently sieved out of the
previous suspension (with 180 and 64 µm sieves,
respectively) and counted, and females were put into
fresh food suspensions. Empty egg membranes were
also counted to account for cannibalized eggs. After
Days 2, 6 and 9, eggs from each food treatment were
checked for hatching. The eggs from the 5 replicate
experimental bottles were pooled into one 630 ml bot-
tle containing 0.2 µm filtered seawater; the bottle was
sealed without headspace and placed on the rotating
141
Mar Ecol Prog Ser 382: 139150, 2009
plankton wheel. After 72 h the content of the bottle
was fixed, and hatched nauplii were counted.
Ingestion rates were estimated on Days 3 to 4 and 7
to 8. In addition to the experimental bottles, 3 control
bottles without females or males were added to the
series of each of the food treatments, and initial con-
centrations were recorded. These bottles were also put
on the plankton wheel for 24 h. Cell concentrations in
each bottle were counted 24 h later, and ingestion
rates were calculated according to Frost (1972). For the
mixtures, the food selection index α was calculated
(Chesson 1983). This index relates the ingestion of the
different phytoplankton cells to their abundance,
where, for a 2 species mixture, α = 0.5 indicates no
selection (Chesson 1978). One-sample t-tests (SPSS)
were used to test for significant deviations of α from 0.5
(no selection).
At the end of each experiment (Day 9) the prosome
lengths of the females were measured with a dissec-
tion microscope using a calibrated ocular stage micro-
meter. A female carbon content of 8.25 µg C was as-
sumed based on the average female carbon content
measured on 2 occasions from the same copepod cul-
tures over a 1 yr period (M. Koski pers. comm.).
Chemical analysis. At 2 dates during the 9 d experi-
ment, samples from the phytoplankton cultures were
taken for fatty acid analysis. A triplicate sample of each
culture (> 500 µg C) was filtered onto pre-combusted GF/F
filters. In addition, at the termination of the experiments,
the females from each treatment were pooled and
analysed for fatty acid content (26 to 40 females sample
–1
).
Similarly, 3 × 40 females from the stock culture were
analysed to attain the initial fatty acid composition of the
females. Samples were stored at –80°C until analysed.
142
Thalassiosira Leptocylidricus Dunaliella Tetraselmis Amphidinium Heterocapsa
weissflogii danicus tertriolecta suecica carteri triquetra
(TW) (LD) (DT) (TS) (AC) (HT)
14:0 0.93 0.95 ± 0.33 0.01 ± 0.01 0.02 ± 0.01 0.99 ± 0.31 4.17 ± 1.44
16:0 2.16 0.63 ± 0.18 1.02 ± 0.28 1.45 ± 0.34 6.53 ± 1.32 7.24 ± 2.47
18:0 0.38 0.01 ± 0.01 0.01 ± 0.01 0.01 ± 0.01 0.84 ± 0.18 0.20 ± 0.16
20:0 0.22 0.01 ± 0.004 0.01 ± 0.32 0.06 ± 0.03 0.77 ± 0.21 0.18 ± 0.18
SAFA 3.44 1.60 ± 0.51 1.05 ± 0.30 1.54 ± 0.35 9.12 ± 1.65 11.79 ± 3.86
16:1n-7 1.61 1.67 ± 0.56 0.03 ± 0.01 0.06 ± 0.02 0.76 ± 0.24 0.38 ± 0.04
18:1n-9 0.48 0.10 ± 0.03 0.16 ± 0.03 0.44 ± 0.08 0.43 ± 0.13 0.35 ± 0.18
18:1n-7 0.29 ± 0.04 0.04 ± 0.02 0.20 ± 0.08 0.21 ± 0.12 0.06 ± 0.03
MUFA 2.41 1.67 ± 1.18 0.03 ± 0.01 0.11 ± 0.02 0.76 ± 0.24 0.38 ± 0.04
16:2n-4 0.00 0.61 ± 0.28 0.05 ± 0.01 0.02 ± 0.01 0.02 ± 0.01
16:3n-4 0.04 1.18 ± 0.62
16:3n-6 0.20 ± 0.04 0.05 ± 0.01
16:4n-3 0.88 ± 0.18 1.44 ± 0.36
16:4n-1 0.15 ± 0.07
18:2n-6 0.18 0.01 ± 0.01 0.28 ± 0.05 0.08 ± 0.02 0.03 ± 0.03 0.44 ± 0.17
18:3n-6 0.03 ± 0.02 0.05 ± 0.04
18:3n-3 ALA 0.14 2.01 ± 0.32 0.95 ± 0.24 1.03 ± 0.25
18:4n-3 0.15 0.02 ± 0.004 0.02 ± 0.04 0.43 ± 0.16 0.97 ± 0.14 1.95 ± 0.34
18:5n-3 0.02 0.13 ± 0.04 2.42 ± 0.52
20:4n-6 ARA 0.08 0.33 ± 0.14
20:5n-3 EPA 0.81 0.13 ± 0.06 0.04 ± 0.02 0.01 ± 0.003
22:6n-3 DHA 0.18 0.29 ± 0.08 1.03 ± 0.35
PUFA 2.06 2.47 ± 1.18 3.49 ± 0.62 3.13 ± 0.84 1.31 ± 0.18 6.87 ± 0.94
Total FAs 9.64 6.37 ± 2.36 4.99 ± 1.00 5.80 ± 1.27 14.82 ± 2.73 22.10 ± 3.10
Other FAs 0.80 0.24 ± 0.10 0.22 ± 0.05 0.37 ± 0.07 2.99 ± 1.06 2.64 ± 0.23
Carbon (pg cell
–1
) 76 59 29 56 190 325
Volume (µm
3
) 878 716 262 353 764 1472
% FA of total C 12.7 10.8 17.2 10.4 7.8 6.8
Table 2. Characteristics of the phytoplankton: fatty acid and carbon content (pg cell
–1
, ±1 SE), size (µm
3
) and percent of total fatty
acids in carbon content. Total FAs: sum of all fatty acids; SAFA: saturated fatty acids; MUFA: monounsaturated fatty acids; PUFA:
polyunsaturated fatty acids. The fatty acids 18:3n-3 (ALA), 18:5n-3, 20:4n-6 (ARA), 20:5n-3 (EPA) and 22:6n-3 (DHA) used in our
analysis are given in bold print. Fatty acid data for TW calculated from Arendt et al. (2005); carbon content calculated from
volume after Menden-Deuer & Lessard (2000)
Jónasdóttir et al.: Temora reproduction and food quality
Fatty acid analysis was conducted according to the
method described by Klein Breteler et al. (1999). The
samples were extracted in KOH:MeOH, including a
known amount of an internal standard (23:0), and
saponified for 35 min at 85°C. After acidification of the
sample to pH 3, double-distilled water, MeOH and
dichloromethane were added. The sample was treated
with ultrasound, and the lipid fraction was drawn off
and passed through a NaSO
4
column to remove all
traces of water. Samples were transmethylated using
BF
3
to form fatty acid methyl esters (FAME), eluted
over a silica column with ethyl acetate, and subse-
quently analysed on a gas chromatographmass spec-
trometer (GC-MS, Agilent 6890 with PTV inlet and
Agilent 5973 mass selective detector) on an Agilent
DB23 (60 m × 0.25 mm) column using helium as carrier
gas. Retention times were compared to those of known
FAME mixtures (Matreya PUFA3, SUPELCO 18919
and an extract from the dinoflagellate Prorocentrum
minimum to locate the 18:5n-3 fatty acid).
Model calculations. The underlying premise for a
food-quality model is that certain dietary compounds
control both the rate at which copepods produce eggs
and the success rate at which they eventually hatch into
nauplii. Some quantity of these dietary compounds
comes immediately from the copepod’s diet, while
other quantities are stored and can be released from the
female’s reserves. In this model, we treat the female as
a reservoir of various dietary components (the 5 fatty
acids of interest) that is continually
recharged by ingestion and emptied
by the production of eggs. That is:
where A is a vector representing the
various compounds in the female, A
f
represents the compounds in the food,
and A
e
represents these compounds in
the eggs. The vector I represents the
ingestion rate of each compound, and
E
r
is the egg production. Integrating
over time gives:
While there are doubtless other loss
terms, we can use the vector quantity
to indicate the potential contribution
of various compounds in influencing
egg quantity and quality from both
maternal and dietary sources.
A forward, stepwise regression of
the elements of P, as well as total
ingested C, was performed against
total egg production (EP, Days 3 to 9), total nauplii pro-
duction (NP, Days 3 to 9) and the percent of hatching
success (Day 9) using SPSS. The forward, stepwise
regression seeks the best possible statistical model, by
successively introducing variables into a multiple
regression. The F-value for a new variable to be
entered into the regression was set at 4.0, essentially
equal to a p-value of 0.06. Five different dietary com-
ponents were tested. In order to fulfil the constancy of
variance requirement, hatching success values (in %)
were arcsine and log transformed prior to analysis.
RESULTS
The experiments were carried out over a 1 yr period,
from March 2005 to March 2006, and tested to deter-
mine if the performance of the females was different in
the experiments over time. Egg production rates (EPR)
measured after the first incubation day of acclimation
on the non-mixed diets (100%) showed no significant
differences in average EPRs between the 6 experi-
ments (2-way ANOVA: F
5,5
= 1.76, p = 0.15). It can be
said with confidence that the different generations of
cultured females were not performing differently over
the period of the experiment.
Female size did not differ between the experiments
(mean ± SD: 1.027 ± 0.008 mm, 1-way ANOVA, F
23
=
1.11, p = 0.32).
PIA A A=⋅ +
f
tt() ()0
AA IA A() ( )tEt−=
()
0
fre
d
d
fre
A
IA A
t
E=⋅
143
Expt Treatment Carbon Total FA Total PUFA
No. Phytoplankton
1, 2 1 TW100 258 ± 10 36 ± 0.1 8 ± 0.03
1 2 TW66/DT33 250 ± 16 37 ± 2.2 15 ± 0.7
1 3 TW33/DT66 230 ± 9 36 ± 1.3 22 ± 0.8
1, 3, 6 4 DT100 248 ± 3 40 ± 0.8 30 ± 0.3
2 5 TW75/LD25 260 ± 10 32 ± 1.2 8 ± 0.4
2 6 TW50/LD50 250 ± 16 27 ± 2.4 8 ± 0.4
2 7 TW25/LD75 239 ± 3 28 ± 0.4 9 ± 0.1
2, 3, 4 8 LD100 251 ± 4 27 ± 0.5 10 ± 1.0
3 9 LD66/DT33 247 ± 4 30 ± 0.5 18 ± 0.2
3 10 LD33/DT66 260 ± 17 37 ± 1.8 25 ± 0.7
4, 5 11 TS100 249 ± 4 21 ± 1.1 13 ± 0.2
4 12 TS66/LD33 238 ± 6 23 ± 0.7 11 ± 0.2
4 13 TS33/LD66 260 ± 14 25 ± 1.3 9 ± 0.6
5 14 TS66/AC33 253 ± 4 21 ± 0.5 9 ± 0.4
5 15 TS33/AC66 250 ± 0.4 18 ± 0.03 6 ± 0.01
5 16 AC100 238 ± 15 15 ± 0.9 2 ± 0.1
6 17 HT100 260 ± 1 15 ± 0.03 5 ± 0.01
6 18 HT66/DT33 250 ± 13 25 ± 1.1 14 ± 0.6
6 19 HT33/DT66 247 ± 4 35 ± 0.5 21 ± 0.3
Table 3. Specifics of the 19 treatments. Carbon and fatty acid compositions in the
19 treatments offered. Phytoplankton treatment (abbreviations as in Table 2)
followed by the carbon-based percent ratio of the phytoplankton type in the
mixture. Carbon, total fatty acid (FA) and polyunsaturated fatty acid (PUFA)
concentrations (µg l
–1
, ±1 SE)
Mar Ecol Prog Ser 382: 139150, 2009
Ingestion rates
Temora longicornis ingested 7 to 70% of its body car-
bon per day, with the lowest value observed when
Dunaliella tertriolecta was used as food (Fig. 1). There
was a significant difference between the treatments in
carbon-specific ingestion (1-way ANOVA, F
24
= 23.58,
p < 0.001), with the lowest ingestion rates being signif-
icantly different from the highest (results from 171
pairwise comparisons using the Holm-Sidak post hoc
method). The results from t-tests on the difference of
the measured selection index α from 0.5 are shown
next to the bars of the mixed diets in Fig. 1. D. tertri-
olecta was not ingested at high rates or in proportion to
144
LD TS AC HTTW DT
a
100%TW
33%DT
66%TW
66%DT
33%TW
100%DT
0.0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.39
0.61
**
0.19
***
0.81
b
0.44
0.56
ns
0.46
0.54
ns
0.0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
100%TW
25%LD
75%TW
100%LD
50%LD
50%TW
75%LD
25%TW
0.39
0.61
**
d
0.0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.47
ns
0.53
0.42
**
0.58
100%TS
33%LD
66%TS
66%LD
33%TS
100%LD
e
100%TS
33%AC
66%TS
66%AC
33%TS
100%AC
0.0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.37
**
0.63
0.34
***
0.66
f
100%HT
33%DT
66%HT
66%DT
33%HT
100%DT
0.0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.45
ns
0.55
0.30
***
0.70
c
33%DT
66%LD100%LD
66%DT
33%LD
100%DT
Ingestion rate (µgC µgC
–1
d
–1
)
0.0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.34
***
0.66
**
0.31
0.69
Fig. 1. Temora longicornis. Carbon-based ingestion rates, I (µg C µg
–1
female C d
–1
) of T. longicornis feeding on the phytoplank-
ton species mixtures offered in the 6 experiments, (a) TW + DT, (b) TW + LD, (c) LD + DT, (d) TS + LD (e) AC + TS and (f) HT + DT.
Different shading patterns in the bars correspond to the phytoplankton types TW, DT, LD, TS, AC and HT (see Table 2 for full
species names). The selection index α is shown next to the bars of the mixtures they represent, where α > 0.5 indicates positive se-
lection; whiskers: +1 SE of the total carbon ingestion. Results of t-tests representing the difference of α from 0.5 are indicated
with: ns: nonsignificant difference; **: p < 0.001; ***: p < 0.0001
Jónasdóttir et al.: Temora reproduction and food quality
its availability (selection index α < 0.5). Therefore, T.
longicornis showed a significant preference for Thalas-
siosira weissflogii, Leptocylindricus danicus and Hete-
rocapsa triquetra (33HT/66DT) over D. tertriolecta, but
in the 66HT/33DT diet mixture an α-value of 0.45 was
not significantly different from 0.5. No selection was
detected when L. danicus and T. weissflogii were
offered together, except for a positive selection for T.
weissflogii with the 75TW/25LD mixture. T. longicor-
nis selected Tetraselmis suecica over Amphidinium
carterii, as well as over L. danicus, in the 33TS/66LD
mixture.
In the 19 food treatments Temora longicornis
ingested very different proportions and concentrations
of the 5 PUFAs of interest (PUFA
5
; Fig. 2a). The PUFA
5
ingestion is a combination of the fatty acid composition
of the different phytoplankton types offered (Fig. 2b,
Table 2) and the ingestion rates of each of these diets
(selection). The lowest total PUFA
5
ingested was on a
100% AC diet (3 ng PUFA
5
female
–1
d
–1
), and the high-
est, with the TW66/DT33 mixture (168 ng PUFA
5
female
–1
d
–1
). There was a significant difference
between the ingested PUFA
5
in the 19 treatments (1-
way ANOVA, F
18
= 18.14, p < 0.001). The composition
of these ingested fatty acids was tested in the model.
Reproduction
EPRs varied depending on the phytoplankton mix-
ture offered, ranging from 1 to 20 eggs female
–1
d
–1
,
being significantly highest when a diet of TW alone
was offered (Fig. 3a). The difference between the 2
highest rates, with TW and 75TW/25LD diets (Fig. 3b),
was highly significant (2-way ANOVA: F
1,70
= 185.9,
p < 0.001). Acclimation to the food offered took 2 d, and
all statistical analyses were performed on rates
observed on Days 3 to 9. Out of 171 pairs, a significant
difference was found between 137 pairs (Holm-Sidak
multiple post hoc comparison, p < 0.001).
Hatching declined with time on most but not all of
the treatments; after 9 d of incubation it ranged from
15 to 81% (Fig. 3c,d). The highest hatching percents
(65 to 81%) were achieved on the diet mixtures 33TW/
66DT, 66HT/33DT, 75TW/25LD and 66TW/33DT
(Fig. 3d) and on the single diet 100AC (Fig. 3c), while
the lowest hatching rates (15 to 20%) were achieved
on the diet mixtures 25TW/75LD, 66TS/33LD,
33TS/66LD and 50TW/50LD (Fig. 3d). Statistical com-
parisons of the different treatments were done on mea-
surements from Days 6 and 10, and, of 171 pairs, signif-
icant differences were found between 37 pairs
(Holm-Sidak multiple post hoc comparison, p < 0.001).
Female composition
The total fatty acid content and the PUFA
5
ratios in
the females are shown in Fig. 4. The data is composed
of 1 to 3 measurements of 24 to 40 females each, but
due to the lack of variance estimate in many of the
averages, these cannot be statistically compared. Gen-
erally, the fatty acid content ranged from 0.03 to 1.8 µg
female
–1
(Fig. 4a). The females from the initial culture
appeared to have a higher PUFA content (0.4 µg
female
–1
) compared to females from the experimental
treatment. Some females appeared to be drained of
fatty acids after 9 d on the diet mixtures. Of the 5 fatty
acids of interest (PUFA
5
), the initial ratio was com-
posed of ca. 20% of 18:3n-3, 40% of 20:5n-3 and 40%
of 22:6n-3. The factions of these fatty acids were quite
variable at the end of the experiments depending on
the food treatments offered (Fig. 4b). The dietary fatty
acid 18:5n-3 did not appear in the females, and females
145
a
b
TW100
T
W66DT3
3
T
W33DT6
6
D
T10
0
TW
75LD25
TW50LD50
TW25LD
7
5
LD1
00
L
D
66DT
33
LD
33DT
6
6
T
S100
T
S66LD
33
T
S33LD6
6
T
S66
A
C33
TS
33A
C66
AC
100
HT
1
00
H
T
66D
T
3
3
HT33DT6
6
Ingestion rate (ng FA female
–1
d
–1
)
0
20
40
60
80
100
120
140
160
180
200
18:3n-3
18:5n-3
20:4n-6
20:5n-3
22:6n-3
TW
10
0
T
W
66DT33
T
W
33DT66
DT100
TW75LD2
5
TW50LD5
0
TW25LD
75
L
D
1
0
0
LD66DT3
3
LD33DT66
TS100
T
S
66LD
33
T
S
33L
D
6
6
T
S
66
AC
3
3
TS
33
A
C
6
6
A
C
10
0
H
T1
0
0
HT66DT
3
3
H
T33
D
T
6
6
FA concentration (ng ml
–1
)
0
2
4
6
8
10
12
14
16
18
20
Fig. 2. Temora longicornis. (a) Ingested specific fatty acids (pg
FA female
–1
d
–1
), (b) concentration of the 5 fatty acids, 18:3n-
3, 18:5n-3, 20:4n-6, 20:5n-3 and 22:6n-3, offered. The shading
patterns in the bars indicate the 5 fatty acid types, and the 19
treatments specified in Table 3 are labelled on the x-axis
Mar Ecol Prog Ser 382: 139150, 2009
from 4 diet mixtures only had 22:6n-3 out of the 5
PUFAs of interest at the end of the experiment. The
fatty acid 20:5n-3 was not measurable in the females in
9 of the 19 treatments.
The model
Results from the multiple regression model are
shown in Table 4. In each of the 3 production parame-
ters tested (egg production, hatching success, nauplii
production), a parsimonious and significant model was
found.
Egg production was highly correlated with the
amount of the fatty acid 20:5n-3 ingested (singular R
2
=
0.66, p = 0.006) in combination with carbon (combined
R
2
= 0.76). In contrast, hatching success showed a sig-
nificant but weaker dependence on the fatty acids
22:6n-3, 18:3n-3 and 18:5n-3 (combined R
2
= 0.65), but
no relationship with total ingested carbon. Nauplii pro-
duction was highly correlated with the fatty acid 22:6n-
3 (singular R
2
= 0.79) together with total carbon (com-
bined R
2
= 0.87). Fig. 5 illustrates the results for the
best model of the 2 most significant parameters for egg
production: hatching and naupliar production.
DISCUSSION
All organisms need several types of nutritional com-
ponents for successful growth (see e.g. Harrison 1990).
However, the apparent importance of these various
nutritional components depends on the particular
aspect of growth that is measured. Further, it is clear
146
EPR (eggs female
–1
d
–1
)
0
123456789 123456789
123456789 123456789
5
10
15
20
100TW
100DT
100LD
100TS
100AC
100HT
Time (d) Time (d)
Hatching success (%)
0
20
40
60
80
a
c
0
5
10
15
20
66TW/33DT
33TW/66DT
75TW/25LD
50TW/50LD
25TW/75LD
66LD/33DT
33LD/66DT
0
20
40
60
80
66DL/33TS
33LD/66TS
66TS/33AC
33TS/66AC
66HT/33DT
33HT/66DT
Single diets
Mixed diets
d
b
Fig. 3. Temora longicornis. Egg production rates (EPR, eggs female
–1
d
–1
, ±1 SE) in (a) single-diet and (b) mixed-diet experiments,
and percent hatching success of the eggs in (c) single diet and (d) mixed diet experiments over 9 d
Jónasdóttir et al.: Temora reproduction and food quality
that various reproductive and growth aspects (gonad
development, egg production, egg quality, naupliar
and juvenile growth) have requirements for >1 nutri-
tional component, and these may change during differ-
ent stages of development. It has complicated nutri-
tional studies that particular nutritional needs are not
the same for these different growth phases. Reproduc-
tion involves maternal mobilization, biosynthesis and
bioaccumulation of materials that are transferred to
eggs (Harrison 1990). When the egg is fertilized, it has
to be able to support the development of the embryo,
e.g. for 2 naupliar non-feeding stages as in the case of
Temora longicornis and most copepod species. The
diet has to supply sufficient energy and nutrients to
meet the reproductive cost of egg production, and the
number of eggs produced is dependent on the quantity
147
S
t
ar
t
TW100
TW66D
T
33
TW33DT66
D
T100
T
W
7
5LD
25
TW50LD50
TW25LD
75
LD1
00
LD66D
T33
LD3
3
D
T66
TS100
TS
66LD
33
TS33LD66
T
S
66
AC
3
3
TS33A
C
66
A
C1
0
0
H
T
100
H
T
66
D
T
3
3
HT3
3
D
T66
FA content (µg female
–1
)
Proportion of PUFA (µg female
–1
)
0.0
0.2
0.4
0.6
0.8
1.0
1.2
1.4
1.6
1.8
2.0
Start
TW100
TW
66DT
33
TW33D
T66
DT100
T
W
7
5LD25
T
W
50L
D
50
T
W
25LD75
LD
1
0
0
LD
66
D
T3
3
LD
3
3DT6
6
T
S
10
0
T
S
66LD33
T
S33LD
66
T
S66
AC
33
TS33
AC
6
6
AC10
0
H
T
10
0
H
T
66D
T
3
3
H
T
3
3DT
6
6
0.00
0.05
0.10
0.15
0.20
0.25
0.30
18:3n-3
20:4n-6
20:5n-3
22:6n-3
a
b
PUFA
Fig. 4. Temora longicornis. Fatty acid content of females at the
start of the experiment (start) and after 9 d in the 19 different
treatments specified in Table 3. (a) Total fatty acids (µg fe-
male
–1
), where the lighter shade indicates polyunsaturated
fatty acids (PUFA) and the dark bars the non-PUFAs and (b)
the proportion of specific fatty acids 18:3n-3, 20:4n-6, 20:5n-3
and 22:6n-3 (µg female
–1
) in the PUFA fraction of the female
Fig. 5. Temora longicornis. Correlations of (a) cumulative egg
production (EP, Day 3 to 9 of the experiment), (b) percent
hatching success (Day 9) and (c) naupliar production (NP, Day
3 to 9 of the experiment) against the maternal and ingested
fatty acids (available) and total ingested carbon (µg), giving
the best statistical fit (see Table 4). ALA: 18:3n-3 (µg);
EPA: 20:5n-3 (µg); DHA: 22:6n-3 (ng)
Mar Ecol Prog Ser 382: 139150, 2009
and quality of the food (Jónasdóttir 1994). The eggs
can vary greatly in size and fatty acid composition
depending on the diet, resulting in great variation in
hatching success (Pond et al. 1996). Successful hatch-
ing often seems to have different requirements than
does egg production. This is well demonstrated when
EPR and hatching are plotted against one another,
where the general pattern seems to be that when EPR
is high, hatching success is high, while at lower EPR,
hatching can be quite variable (Jónasdóttir & Kiørboe
1996, Shin et al. 2003). This pattern is also evident in
our results (relationship not shown). In the same way, it
should not be assumed that somatic growth and repro-
ductive growth have the same requirements. This is
one of the main misconceptions in the literature when
discussing the nutritional needs for growth. The stud-
ies on nutritional requirements for somatic growth
indicate that sterols and protein might be of more
importance than specific fatty acids (Klein Breteler et
al. 2005, Koski et al. 2006).
In the present study, we used mixtures of mediocre
or poor diets to try to establish which fatty acids limit
copepod egg production and egg quality and, conse-
quently, naupliar production. The idea was to use non-
artificially treated food (instead of fatty acid supple-
ments) with different fatty acid profiles, reflecting
various food mixtures, to simulate different ratios of
some of the potentially important fatty acids. The 19
different phytoplankton mixtures gave a wide range in
concentrations and ratios of the 5 fatty acids (Fig. 2b,
Table 2) and resulted in very different proportions and
concentrations of the fatty acids ingested (Fig. 2a). In
agreement with some of the studies listed in Table 1,
our results show the importance of the fatty acid
20:5n-3 for egg production, together with carbon. The
fatty acid 20:5n-3 is one of the main membrane lipids
and a precursor for eicosanoids, e.g. hormone acti-
vities. However, the direct pathway for this fatty acid
in the copepod egg production process is not fully
understood.
Because of large differences in the ingestion rates of
the different diets (0.9 to 6 µg C female
–1
d
–1
), Temora
longicornis may have been food limited in some of the
treatments, resulting in the observed quantitative
dependence. While carbon limitation could possibly be
avoided by providing higher initial food concentra-
tions, food selection and ingestion rates will always
control the carbon availability for growth. The inges-
tion rates and residence time of food in the gut are
dependant on the quality of the available food (Tirelli
& Mayzaud 2005). Egg production rates in the present
study were highest on TW, at about 20 eggs female
–1
d
–1
, while the expected maximum for the same size
T. longicornis would be about 60 eggs female
–1
d
–1
148
Variable Status F-to-remove F-to-enter p
var
Total egg production Total C In 13.7 0.002*
(R
2
= 0.76, df = 16, p < 0.001) 18:3n-3 Out 0.048 0.829
18:5n-3 Out 0.624 0.441
20:4n-6 Out 1.187 0.292
20:5n-3 In 9.4 0.007*
22:6n-3 Out 3.338 0.086
Hatching success Total C Out 0.991 0.335
(log
10
arcsine transformed) 18:3n-3 In 8.6 0.010*
(R
2
= 0.65, df = 15, p = 0.001) 18:5n-3 In 4.3 0.057*
20:4n-6 Out 0.468 0.504
20:5n-3 Out 0.002 0.970
22:6n-3 In 17.5 <0.001*
Total naupliar production Total C In 10.9 0.004*
(R
2
= 0.88, df = 16, p < 0.001) 18:3n-3 Out 0.371 0.551
18:5n-3 Out 0.004 0.951
20:4n-6 Out 0.086 0.773
20:5n-3 Out 0.465 0.505
22:6n-3 In 38.3 <0.001*
Table 4. Results from multiple, stepwise regression on egg production (eggs female
–1
), total naupliar production (nauplii female
–1
)
and hatching success (%) against the maternal and ingested 5 fatty acids and total ingested carbon. The stepwise process selects
only those variables (labelled ‘in’) that contribute to the best regression. Variables not in the regression are labelled ‘out’. R
2
: co-
efficient of determination of the multiple regression; df: degrees of freedom; p: significance value of the multiple regression; p
var
:
significance of the variable within the regression (asterisks indicate the most significant variables contributing to the model). For
each variable in the model, ‘F-to-remove’ is the F-statistic for its coefficient within the regression; for each variable not in the
model, ‘F-to-enter’ is the F-statistic that its coefficient would have if it were the next variable added in the regression
Jónasdóttir et al.: Temora reproduction and food quality
(S. H. Jónasdóttir unpubl. obs.). This indicates that
some additional food limitation for egg production
occurred even for the best diet tested.
Hatching success is an estimate of the quality of the
eggs produced and was strongly associated with the
ingestion and female contribution of the long-chain
PUFA 22:6n-3 and, to a lesser extent, the 18:3n-3 and
18:5n-3 fatty acids. The first 2 fatty acids have previ-
ously been positively related to hatching success
(Table 1). As for 20:5n-3, 22:6n-3 is metabolized to
form docosanoids, a group of potent hormones that
have been associated with neural functions in verte-
brates. The 18:5n-3 fatty acid, here found in HT and
TS, was not observed in females, and it is likely that it
was directly metabolized. A second possibility is that it
was elongated to 20:5n-3 and/or further desaturated to
22:6n-3. However, the ability to elongate and desatu-
rate 18:3n-3 to a 20 PUFA may be limited (Bell et al.
2007).
The combined coefficient of determination (Table 4)
shows that 35% of the variance in hatching was not
explained and indicates that some limiting variables
were not taken into account in the measurements and
subsequent model. These could, for example, be some
specific sterols (Crockett & Hassett 2005) that are
important for membrane function and are precursors
for many hormones, such as steroid hormones (Harri-
son 1990), and/or specific amino acids (Guisande et al.
2000). The total reproductive sum, i.e. the total nau-
pliar production, was very well explained (R
2
= 0.88) by
ingested carbon and the fatty acid 22:6n-3 the 2
factors that best explained EPR and hatching, re-
spectively.
The contribution of maternal protein towards egg
production is reported for some larger copepod species
(Paraeucheta: Alonzo et al. 2000, 2001; Calanus: Rey-
Rassat et al. 2002), but using the potential female
reserves is, to our knowledge, a new approach in food-
quality studies. The present study shows that the
female selectively utilizes PUFAs (Fig. 4a) and espe-
cially 20:5n-3 (Fig. 4b). The female composition is oth-
erwise related to the intake of the dietary fatty acids. In
some treatments (e.g. 100% AC), the females were
totally depleted of PUFAs, while non-PUFA fatty acids
increased compared to values for the initial females
(Fig. 4a). The magnitude of this female contribution is,
however, not clear, and the importance of this contri-
bution would require complete stoichiometric balance,
where the fatty acid composition of eggs and faecal
pellets would specifically have to be known.
The approach used in the present study is promising.
Ultimately, however, the production and growth mea-
sured depend on the nutrient components fuelling the
underlying physiological processes. These can come
from the diet, but the maternal contribution through
stored reserves may play a crucial role when essential
nutrients are limiting. Therefore, to identify the under-
lying nutritional needs for reproduction, it is vital that
the maternal contribution is taken into account.
Observing a positive reproductive response when a
suspected essential component is totally absent from
the diet is no guarantee that that particular nutritional
component is unimportant, if the organism can retrieve
it from its own body reserves. Therefore, female condi-
tion and specific lipid accumulation is an important
factor in reproductive success.
The present study shows the importance of certain
long-chain fatty acids for successful reproduction in
copepods and underlines that >1 fatty acid is important
for the total reproductive process. The study also
underlines that the nutritional need for making a
viable egg is different from simply making an egg
itself. Therefore, meeting nutritional needs for success-
ful reproduction is a multi-tiered process. The ecologi-
cal implication of these results may be that during
phytoplankton blooms containing species rich in EPA
(diatoms), Temora longicornis may produce many eggs
with low or variable naupliar production. Later, phyto-
plankton succession of dinoflagellates high in DHA,
and often in 18:5n-3, may result in lower egg produc-
tion rates, but, due to higher hatching, the naupliar
production is higher, resulting in similar reproductive
output during the season.
It is apparent that one of the major shortcomings in
many food-quality studies, including some of our own,
is the black box approach, where correlations are
made directly between the food available and repro-
duction. It is clear that food selection (ingestion) plays
a critical role in availability of nutrient components
for growth, and to obtain meaningful correlations
between diet and growth, measurements of ingestion
rates are essential.
Acknowledgements. The present study was funded by the
Danish Research Agency Grant Number: 21-03-0487 to S.H.J.
We thank P. Christiansen for assistance with fatty acid ana-
lysis, Dr. E. Toby for discussions and advice on statistics, and
M. Koski and 4 anonymous reviewers for useful comments.
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150
Editorial responsibility: William Peterson,
Newport, Oregon, USA
Submitted: October 17, 2008; Accepted: February 19, 2009
Proofs received from author(s): April 20, 2009