Next Article in Journal
Dietary Supplementation of Silybum marianum Seeds Improved Growth Performance and Upregulated Associated Gene Expression of Muscovy Ducklings (Cairina moschata)
Next Article in Special Issue
Oxidative Stress and Apoptosis in Disk Abalone (Haliotis discus hannai) Caused by Water Temperature and pH Changes
Previous Article in Journal
Impact of N-Acetyl Cysteine (NAC) on Tuberculosis (TB) Patients—A Systematic Review
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Reduced Fitness and Elevated Oxidative Stress in the Marine Copepod Tigriopus japonicus Exposed to the Toxic Dinoflagellate Karenia mikimotoi

1
Key Laboratory of Marine Environment and Ecology, Ministry of Education, Ocean University of China, Qingdao 266100, China
2
Laboratory for Marine Ecology and Environmental Science Laboratory, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266237, China
*
Author to whom correspondence should be addressed.
Antioxidants 2022, 11(11), 2299; https://doi.org/10.3390/antiox11112299
Submission received: 10 September 2022 / Revised: 13 November 2022 / Accepted: 17 November 2022 / Published: 21 November 2022
(This article belongs to the Special Issue Oxidative Stress in Marine Environment - 2nd Edition)

Abstract

:
Blooms of the toxic dinoflagellate Karenia mikimotoi cause devastation to marine life, including declines of fitness and population recruitment. However, little is known about the effects of them on benthic copepods. Here, we assessed the acute and chronic effects of K. mikimotoi on the marine benthic copepod Tigriopus japonicus. Results showed that adult females maintained high survival (>85%) throughout 14-d incubation, but time-dependent reduction of survival was detected in the highest K. mikimotoi concentration, and nauplii and copepodites were more vulnerable compared to adults. Ingestion of K. mikimotoi depressed the grazing of copepods but significantly induced the generation of reactive oxygen species (ROS), total antioxidant capacity, activities of antioxidant enzymes (superoxide dismutase, catalase, and glutathione peroxidase), and acetylcholinesterase. Under sublethal concentrations for two generations, K. mikimotoi reduced the fitness of copepods by prolonging development time and decreasing successful development rate, egg production, and the number of clutches. Our findings suggest that the bloom of K. mikimotoi may threaten copepod population recruitment, and its adverse effects are associated with oxidative stress.

Graphical Abstract

1. Introduction

Harmful algal blooms (HABs) have become a global environmental issue in aquatic ecosystems with increasing frequency, intensity, and geographic distribution [1]. High biomass accumulation, phycotoxin production, and oxygen depletion associated with the proliferation of algae adversely impact marine organisms, ecosystems, aquaculture, and public health [2,3]. Dinoflagellates are responsible for most marine HABs, among which Karenia mikimotoi is a worldwide HAB-forming species that has damaged the aquaculture industry and threatened ecosystems for decades [4,5,6]. Unlike most of the toxic dinoflagellates, K. mikimotoi seems harmless to humans, since no shellfish poisons such as paralytic shellfish poisoning, diarrheic shellfish poisoning, or brevetoxin produced by other species of the genus Karenia have yet been identified [4,6]. However, most K. mikimotoi blooms are associated with massive fish or shellfish mortality, and this is commonly considered to be caused by haemolytic and cytotoxic effects [7,8,9,10]. K. mikimotoi could generate reactive oxygen species, which is also speculated to be involved in K. mikimotoi-induced toxicity [11,12,13], and the effects of K. mikimotoi on the antioxidant enzyme activity of algae, fish, and shellfish have been reported [14,15,16,17,18], which is potentially associated with its neurotoxicity [15,16]. Although the exact toxicity mechanism of K. mikimotoi remains elusive, multiple studies have shown that its toxicity relies on direct contact with intact algal cells [19,20] and could vary greatly among strains and be target-species-specific [4,11].
In marine ecosystems, copepods are the key linkage in food webs, playing a vital role in transferring energy and material, including toxic substances, from primary producer to higher trophic levels. Previous studies on pelagic copepods have shown that K. mikimotoi may cause decline of fitness and population recruitment. Adverse effects include reduction of survival, feeding behavior and rate, motility, egg production, and egg-hatch success (Table 1). Compared to fish, shellfish, and other invertebrates such as rotifer, copepods, particularly the benthic lineages, have received less attention in the ecotoxicity of K. mikimotoi [4,21]. Whether this toxic species also causes detrimental effects on benthic copepods is largely unknown. The harpacticoid copepod Tigriopus japonicus is a neritic and benthic species that has been extensively used in assessing environmental risk of heavy metal, biocide, microplastics, and ocean acidification. [22,23,24]. Its small size, short life cycle, ease of culture and maintenance, and adaptability to various conditions in the laboratory make T. japonicus a suitable model species of ecotoxicology [25]. Despite living in benthic habitats, T. japonicus is able to effectively utilize a variety of pelagic microalgae [26,27]. A large proportion of primary production precipitating to the sediment after blooms and vertical migration of K. mikimotoi could also expose T. japonicus to toxic pelagic algae [28].
In this study, we aim to determine whether feeding of T. japonicus with K. mikimotoi has negative effects on its fitness through both acute and chronic assays. Survival, feeding, and biochemical parameters related to oxidative stress and neurotransmission in copepods exposed to a series of K. mikimotoi concentrations were monitored. Sublethal effects were investigated by assessing development time, successful development rate, egg production, and number of clutches for two generations.

2. Materials and Methods

2.1. Algal and Copepod Cultures

K. mikimotoi (strain C32-HK), originally isolated from the South China Sea, was provided by the Research Center for Red Tide and Marine Biology of Jinan University, Guangzhou, China. The nontoxic control Isochrysis galbana was obtained from the Algal Culture Center of the Institute of Oceanology, Chinese Academy of Sciences (Qingdao, China). Both algal strains were cultured in L1 seawater medium [35] at a salinity of 30.0 ± 1.0 and a light intensity of 100 ± 10 μmol·photon·m−2·s−1. K. mikimotoi was maintained at 25.0 ± 1.0 °C under a 14/10 h light/dark regime, and I. galbana was maintained at 20.0 ± 1.0 °C under a 12/12 h light/dark regime. Copepods T. japonicus were originally collected in rocky intertidal pools on the coast of Qingdao, China and maintained at a temperature of 20.0 ± 1.0 °C, salinity 30.0 ± 1.0, under a 14/10 h light/dark regime, and fed with a mixture of Platymonas helgolandica (1.0 × 105 cells·mL−1) and I. galbana (2.0 × 105 cells·mL−1). All seawater used was taken from offshore Shazikou, Qingdao, China and filtered through a 0.45-μm polycarbonate membrane and sterilized.

2.2. Survival

A 14-day acute test was conducted using adult females T. japonicus. Copepods were fed on K. mikimotoi of the exponential phase at the concentrations (cell density) of 10,000, 20,000, 30,000, 40,000, and 50,000 cells·mL−1. The series of cell densities was chosen based on the abundance in natural blooms and the results of preliminary experiments in which differential survival rates were observed. I. galbana, with a concentration of 2.0 × 105 cells·mL−1, was used as control prey. Triplicate 100-mL glass beakers containing 10 adult females and 50 mL test solution were set up for each algal concentration and control. The copepods were incubated at 20 ± 1 °C under a 14/10 h light/dark photoperiod. Every 48 h, mortality was recorded, and the test solutions were renewed with fresh algal prey.
An acute test for nauplii and copepodites was conducted for 4 days. For each algal concentration and control, triplicates were set up. For each replicate, 25 nauplii or 15 copepodites were transferred to one well of a 6-well tissue culture plate. Each well contained 8 mL test solution. These nauplii and copepodites were raised under the same conditions mentioned above. Every 24 h, mortality was recorded and the test solutions renewed with fresh algal prey. Finally, 96-h LC50 was determined by fitting to a sigmoidal dose–response curve.

2.3. Biochemical Assays

Previous studies indicate that feeding on toxic algae can alter the oxidative status in grazers and disturb their antioxidant system [4,11]. Thus, we assessed the ROS production, total antioxidant capacity (T-AOC), and the activities of three key antioxidant enzymes: superoxide dismutase (SOD), catalase (CAT), and glutathione peroxidase (GPx). SOD, CAT, and GPx comprise the first-line defense antioxidants by dismutating superoxide radicals and breaking down hydrogen peroxides and hydroperoxides to harmless molecules, respectively [36]. They are indispensable in the entire defense strategy and commonly used for oxidative status assessment in various organisms, including copepods [37,38]. Moreover, acetylcholinesterase (AChE), the hydrolyzing enzyme of the neurotransmitter acetylcholine, is also a well-established biomarker of various environmental stressors, including toxic algae [37]. Thus, the activities of these biomarkers in copepods fed on K. mikimotoi are of particular concern.
Following the 14-day acute test, biochemical assays were conducted in the surviving adult female copepods of each treatment and control. One hundred active adult females of T. japonicus with dual egg sacs were used for biochemical assays for each treatment and homogenized on ice in 100 μL 0.9% ice-cold sodium chloride solution.
A portion of the homogenate was centrifuged at 10,000× g for 10 min at 4 °C and the supernatant was collected for reactive oxygen species (ROS) assays. The rest of the homogenate was centrifuged at 825× g for 10 min at 4 °C, and the supernatant was collected for biochemical assays of T-AOC, SOD, CAT, GPx, and AChE. ROS and enzyme activity were measured using detection kits following the manufacturer’s instructions (Nanjing Jiancheng Institute of Biological Engineering, Nanjing, China). The level of ROS was indicated by the fluorescence of dichlorofluorescein (DCF), measured by F-4700 fluorescence spectrophotometer (Hitachi, Tokyo, Japan) with a 500 nm excitation wavelength and 525 nm emission wavelength. Micro Plate Reader Model ST-360 (Kehua, Shanghai, China) was used for measuring the enzyme activities and total protein concentrations. The ROS levels and enzyme activities were normalized to total protein concentration. Water-soluble protein concentration (μg·mL−1) was measured by the bicinchoninic acid assay (BCA), following the manufacturer’s instructions for microtiter assays (Nanjing Jiancheng Institute of Biological Engineering, Nanjing, China). A standard curve was prepared using six bovine serum albumin (BSA) concentrations ranging from 50 to 2000 μg·mL−1.

2.4. Feeding

Prior to the experiment, mature and healthy adult females were randomly sorted and starved in sterilized filtered seawater for 24 h. Triplicate 100-mL glass beakers containing 10 adult females and 50 mL test solution with diets were set up for each algal concentration and control (K. mikimotoi: 100, 200, 400, 600, 800, 1.0 × 103, 2.0 × 103 cells·mL−1; I. galbana: 0.3 × 105, 0.7 × 105, 1.4 × 105, 2.1 × 105, 3.0 × 105, 3.7 × 105, 7.4 × 105 cells·mL−1). Incubation took place for 24 h under the conditions described above with beakers wrapped in foil. Prey concentrations were determined before and after incubation. Algal suspensions were preserved in 2% neutral Lugol’s solution and cell abundance was determined by counting cells per sample using Sedgewick Rafter counting slides.
Clearance and ingestion rates were determined following Frost (1972) [39]:
F = V N × l n C t l n C t f t
I = F × C t f C 0 ln C t f ln C 0 ,
where F is clearance rate (mL·ind−1·h−1), which refers to the volume of ambient medium filtered by individual copepod per unit time; I is the ingestion rate (cells· ind−1·h−1), representing the number of algal cells filtered by individual copepod per unit time; V represents the volume of medium (mL); N is the number of copepods in each beaker; Ct indicates the final prey concentration in the control beaker (×104 cells·mL−1); Ctf represents the final prey concentration in the grazer beaker (×104 cells·mL−1); C0 represents the initial prey concentration (×104 cells·mL−1); and T is feeding time (h). Carbon-based rates were calculated using cell size and estimated carbon content per cell.
The carbon content of K. mikimotoi and I. galbana, respectively, was calculated according to the Menden-Deuer and Lessard equation [40].
C = 0.76 S 0.819
C = 0.228 S 0.899 ,
where C represents the carbon content of individual cells (×10−6 µg·C·cell−1), and S represents the volume of individual cells (µm3·cell−1). Cell size, cell volume, and carbon content for each algal species were listed in Table 2.
The functional response data were fitted to Holling Type III models as follows:
I = I max C 0 2 C 0 2 + K m
F = I max C 0 C 0 2 + K m 2 ,
where Imax is the maximum ingestion rate, Km is the half-saturation constant, and C0 is the prey concentration.

2.5. Chronic Test

Larval/juvenile development and adult reproduction were investigated in a chronic test, in which copepods were fed on I. galbana (2.0 × 105 cells·mL−1) as control and K. mikimotoi with sublethal concentrations of 500, 1000, 2000, and 4000 cells·mL−1. The culture conditions were the same as those described above.
Newly hatched nauplii (<24 h after hatch) were transferred to 6-well tissue culture plates and each well contained 10 nauplii and 8 mL test solution. Test solution was renewed every 48 h, whereas the mortality, development stage, and development time (nauplii to copepodite and copepodite to adult) were monitored every day. Dead individuals were removed. Individuals that developed into copepodite were selected for further cultivation. These nauplii are reared under the above conditions until the adult female forms an egg sac. For the second generation (F2), 10 nauplii (F2) produced by an F1 female from each treatment or control were transferred to new 6-well plates and maintained under the same conditions. Triplicates for each treatment or control were set up. Survival, developmental time for the nauplius phase, and developmental time for the copepodite phase were recorded.
To investigate adult reproduction, healthy and active adult females of T. japonicus with dual egg sacs were transferred to 6-well tissue culture plates, with each well containing one individual and 8 mL test solution. For each exposure concentration or control, six replicates were set up and maintained under the same conditions described above for 10 d. The total egg production in 10 days, individual egg production, and the number of clutches were recorded.

2.6. Statistical Analysis

All measurements were carried out in triplicate, and the data are given as mean value ± standard deviation (SD). Statistical analysis was performed using IBM SPSS 21.0 (IBM Corp., Armonk, NY, USA). To calculate 96-LC50, dose–response curves were fitted by sigmoidal algorithms using the mean values of each group (n = 6). One-way analysis of variance (ANOVA) and Fisher’s Least Significant Difference (LSD) test was used to evaluate the difference among groups. Prior to ANOVA, data were log-transformed to meet the assumption of normality and homogeneity of variance. Two-way ANOVA followed by Tukey’s test for post hoc multiple comparison was performed to test the difference among treatments and generations. Degrees of freedom (df) for each variable and the F ratio (F, the mean square of the variable divided by the mean square of each parameter) were calculated. Correlation analysis was performed using Pearson’s test. In all tests, p < 0.05 was considered as significant. Data were plotted using Origin 2017.

3. Results

3.1. Survival

No mortality of adult female T. japonicus was induced by K. mikimotoi during the first 4-d incubation, and the survival rates remained high (>85%) throughout the 14-d incubation at concentrations below 50,000 cells·mL−1, with no significant difference compared to control (p > 0.05; Figure 1). Significant reduction of survival (p < 0.05) was only detected at the highest algal concentration (50,000 cells·mL−1), and the survival rates decreased with time, reaching 6.67% at day 14. Due to the high tolerance of adult copepod to K. mikimotoi, we further assessed the acute effects of K. mikimotoi on nauplii and copepodite (Figure 1). Survival rate decreased with time and concentration with 100% mortality of nauplii found at algal concentrations ≥ 20,000 cells·mL−1 after 4 days. The 96-LC50 of K. mikimotoi for nauplii was determined at 10,205 cells·mL−1 by dose–response curves fitted by sigmoidal algorithms (R2 = 0.996, n = 6), whereas that for copepodite was about two-fold higher at 21,630 cells·mL−1 (R2 = 0.959, n = 6).

3.2. Feeding

Concentration-dependent grazing was found on both toxic and non-toxic prey, resembling a typical Holling Type III functional response (Figure 2). The maximum per capita intake of K. mikimotoi and I. galbana was ca. 44 and 6207 cells per hour, respectively, with half-saturation prey concentration as 430.0 and 127,351.5 cells·mL−1. Clearance rate peaked at intermediate prey concentrations. Carbon-based functional responses showed that copepod ingested non-toxic I. galbana at a significantly higher rate (p < 0.01), whereas copepod had a higher clearance rate on K. mikimotoi, which peaked at higher prey concentrations (278 μg C·L−1) in comparison with that of control prey I. galbana.
Figure 2. Functional feeding response of adult female T. japonicus on K. mikimotoi and nontoxic control prey I. galbana. Cell-density-based feeding rates of K. mikimotoi (a) and I. galbana (b). Carbon-based functional response of ingestion rate (c) and clearance rate (d). Clearance rates and ingestion rates are presented as a function of the average food concentration. Holling type III equations were fitted with the parameters provided in Table 3.
Figure 2. Functional feeding response of adult female T. japonicus on K. mikimotoi and nontoxic control prey I. galbana. Cell-density-based feeding rates of K. mikimotoi (a) and I. galbana (b). Carbon-based functional response of ingestion rate (c) and clearance rate (d). Clearance rates and ingestion rates are presented as a function of the average food concentration. Holling type III equations were fitted with the parameters provided in Table 3.
Antioxidants 11 02299 g002
Table 3. Maximum ingestion (Imax) and clearance (Fmax) rates, half-saturation prey concentration (Km) estimated by Holling Type III functional response model.
Table 3. Maximum ingestion (Imax) and clearance (Fmax) rates, half-saturation prey concentration (Km) estimated by Holling Type III functional response model.
Clearance Rate Ingestion Rate
Carbon BasedCell Based
Prey SpeciesFmax
(mL·ind−1·h−1)
R2Imax
(ìgC·ind−1·d−1)
Km (ìgC·L−1)R2Imax
(cell·ind−1·d−1)
Km
(mL·L−1)
R2
K. mikimotoi0.0780.791.25250.320.9452.85430.950.94
I. galbana0.035 a0.958.92155.080.996240.17127,351.460.99
a The mean from actual data is provided instead of model-estimated.

3.3. Acute Biochemical Responses

Intracellular generation of ROS in copepods was significantly elevated in all treatments with the highest level (ca. 1.8-fold of control) detected in the copepods fed with 40,000 cells·mL−1 K. mikimotoi. The T-AOC increased by a factor of 2.2~2.5 in all treatments (Figure 3b) and was positively correlated with the ROS level (R = 0.705, p < 0.01, Table 4). The cumulative action of antioxidants as indicated by T-AOC was also supported by the stimulated activities of individual antioxidant enzymes, which varied with respect to K. mikimotoi concentrations (Figure 3c–e, Table 4). SOD and GPx activity both showed a single-peak pattern that reached 4-fold and 9-fold of the control at 30,000 cells·mL−1 and 20,000 cells·mL−1 of K. mikimotoi, respectively (Figure 3c,e). The peaks were followed by a decrease, even falling back to the level of control in the case of GPx. Exposure to K. mikimotoi also noticeably induced CAT activity (1.6-fold to 2.2-fold of control), but the level fluctuated across concentrations (Figure 3d). In the case of AChE activity, significant induction was also found in all treatments. Although the increases (1.3-fold to 1.7-fold of control) were smaller than antioxidants, AChE activity was positively correlated with ROS level, T-AOC, and all antioxidant activities (R = 0.679~0.723, p < 0.01, Table 4). Furthermore, ANOVA confirmed the influence of K. mikimotoi concentration on the biochemical parameters (Table 5).

3.4. Development and Reproduction

A chronic test was conducted at lower exposure concentrations ranging from 500 cells·mL−1 to 4000 cells·mL−1. Development time and survival were investigated for two consecutive generations. Exposure to K. mikimotoi significantly delayed the development of both nauplii and copepodites in F1 but did not significantly affect the survival rate except for the highest concentration (4000 cells·mL−1), at which the survival rate decreased to 85% and 80% for nauplii and copepodites, respectively (Figure 4). The adverse influence of K. mikimotoi on development was more pronounced in F2. An average of 25.9% of nauplii developed into copepodites in a longer time (8 days) compared to control (5 days), and the development time for copepodite to adult increased by a factor of 2.2–2.5. The survival rate of copepodite decreased to 70–80% at concentrations below 4000 cells·mL−1, whereas at 4000 cells·mL−1, no copepodite successfully grew up into a adult (100% mortality). Two-way ANOVA (Table 4) further showed the significant impact of K. mikimotoi concentration and generation time on the development time and survival rate of T. japonicus nauplii and copepodites (p < 0.01), and there was a significant interaction between treatment and generation, except for the developmental time of the nauplius stage (p < 0.01).
Remarkably, egg production and the number of clutches for F1 were strongly depressed under all tested concentrations of K. mikimotoi (Figure 5, Table 6). Total egg production per 10 d and individual egg production reduced to 5.4% and 9.4% of the control, respectively, with the lowest production detected at the highest K. mikimoti concentration (4000 cells·mL−1). The number of clutches reduced to 46.5–65.1% of the control. No data were available for F2 egg production due to the extremely low number of successfully developed adult females in F2. In addition, deformed and/or detached egg sacs with extremely low egg production were observed in T. japonicus exposed to highest K. mikimotoi concentration.

4. Discussion

4.1. Survival

The lethal effect of K. mikimotoi has been documented in many marine organisms, such as fish, shellfish, rotifers, and crustaceans, with copepods being one of the less sensitive lineages [19,32]. Within the group of copepods, the sensitivity to K. mikimotoi varies among species, and the benthic harpacticoid copepod T. japonicus tested in this study seems more tolerant to K. mikimoti than the pelagic calanoid copepods [19,29,31,32]. No mortality was observed in adult T. japonicus within 96 h at all tested concentrations of K. mikimotoi, ranging from 10,000 to 50,000 cells·mL−1, and they retained a high survival rate (>90%) during 14-d incubation at concentrations <50,000 cells·mL−1 (Figure 1a). Contrastingly, higher mortality has been reported in adult Pseudodiaptomus marinus (52–100%, 13 d) and Calanus sinicus (20%, 96 h or 22% 16 d) fed with less or comparable concentrations of K. mikimotoi [29,31,32]. It has been duly recognized that the toxicity of K. mikimotoi is target-species-specific and algal-strain-specific [4,11], which could be attributed to the physiological diversity in structure and defense mechanisms among organisms. Previous studies also postulate that benthic copepods and other benthic invertebrates have a higher degree of tolerance to toxic algae than their pelagic counterparts [27,41,42]. High survival rates are also observed in T. japonicus exposed to various environmental stressors [43,44,45]. This is probably due to their physiological acclimation and genetic adaptation to the benthic environments, where the disturbance and contaminant accumulation are high while food supply might be limited relative to pelagic environments.
As expected, nauplii and copepodite T. japonicus were more vulnerable compared to adults (Figure 1), which is in concert with findings in C. sinicus fed on K. mikimotoi [31]. It has been suggested that inadequate feeding due to nonoptimal predator-to-prey size ratio may reduce the survival of nauplii T. japonicus [27]. However, the significant concentration and time-dependent decreases of survival in nauplii and copepodite T. japonicus revealed in our study indicate that the toxicity of K. mikimotoi might be the major factor influencing survival.

4.2. Feeding

Both algae were ingested by T. japonicus in the concentration-dependent pattern, but the ingestion rate on K. mikimotoi was only 5.0–14.3% of that on non-toxic control prey I. galbana. The functional response in clearance rate to both prey concentration fit Holling type III, with significantly higher clearance rates found on K. mikimotoi. Such depressed ingestion and enhanced clearance on K. mikimotoi compared to the control prey are in line with the findings in the pelagic copepod Temora longicornis [34]. Reduced grazing on K. mikimotoi has also been documented in several copepods, including Acartia omorii, Calanus helgolandicus, P. marinus, and Pseudocalanus elongatus, and in several independent studies on T. longicornis [29,30,33]. Explanations related to nutritional inadequacy, toxic, or deterrent effect on grazers have been proposed. K. mikimotoi lacks essential polyunsaturated fatty acid and amino acid for zooplankton [31], which was observed in copepod Pseudodiaptomus annandalei and other marine zooplankton [19]. Alternation of feeding behavior has been convincingly demonstrated by direct observation in several copepods fed on K. mikimotoi. Significantly reduced beating frequency of the feeding appendages have been shown for copepod C. helgolandicus and T. longicornis [30]. Copepods use appendage movements to produce feeding current and further capture food particles; therefore, reduced beating frequency mirrors the lower prey-encounter rate and consequently lower ingestion rate of prey. Moreover, deterrent effects during the process of capture, examination and rejection of viable toxic cells have been observed in copepod P. elongatus and T. longicornis, and the high rejection rate of K. mikimotoi was high compared to that of non-toxic algae [33,34]. These studies argued that the signal molecules produced by toxic algae and remote characterization of the prey by copepod collectively reduce the predation risk, which may account for the long duration of K. mikimotoi bloom, as proposed by box-model analysis [46].

4.3. Oxidative Stress

Oxidative stress is one of the toxicological consequences of exposure to harmful algae in a variety of aquatic organisms [11,47,48], which refers to the imbalance between pro-oxidant and antioxidant homeostatic cellular conditions or a disruption of redox signaling and control [49]. Such oxidative stress and subsequent damage could be caused by algal-borne ROS, which is also speculated as one of the substances involved in K. mikimotoi-induced toxicity [12,13,28], besides hemolytic toxins [7,8,50] and cytotoxins [9,10]. The ROS production of K. mikimotoi varies among strains, and some strains such as NGU04 could generate ROS at a level nearly equal to that of raphidophyte Chattonella marina, which produces the highest level of superoxide per cell among microalgae [12,51]. However, several studies have suggested that ROS might not play a major role in the toxic effect of K. mikimotoi, as shown in rotifers [12,32,52,53].
In spite of this, K. mikimotoi could induce significant modulation on ROS production and the antioxidant defense system in aquatic organisms, as many other toxic algae do [47,48,54]. In our study, K. mikimotoi stimulated the ROS production in adult T. japonicus with a concentration-dependent pattern (Figure 3). ROS production is considered as a metabolic response to toxic algal exposure, which could be induced in minutes to hours [55,56,57], and it even exhibited a high level after a 14-day exposure in our case. Although the mechanism of algae-induced ROS generation remains elusive, recent evidence showed that brevitoxin produced by K. brevis inhibits mammalian thioredoxin reductase, a component of the thioredoxin system [58,59,60]. The thioredoxin system is a major cellular antioxidant system that is responsible for maintaining redox homeostasis and is present in all living organisms [61]. Given that cytotoxic polyethers, gymnocin produced by K. mikimoti, are structurally analogous to brevetoxins [9,10,62,63], K. mikimotoi could potentially disturb the cellular oxidative status in copepod by inhibiting thioredoxin reductase.
Along with the rise in ROS level, K. mikimotoi also activated the antioxidant defense system in T. japonicus, expressed as enhanced T-AOC, and the activities of SOD, CAT, and GPx (Figure 3), which indicates active ROS scavenging [36]. Oxidative stress indicated by the alteration of antioxidant enzymes is commonly found in T. japonicus and other aquatic organisms under various chemical and physical stresses, such as heavy metals, ocean acidification, climate change, and toxic algae [32,64,65]. The effects of K. mikimotoi on the antioxidant enzymes have been reported in diatom Thalassiosira pseudonana [18], abalone Haliotis discus hannai [14,17], zebrafish [15], and medaka Oryzias melastigma [16]. Such effects include inhibition or activation followed by inhibition, and the pattern with respect to algal concentration and exposure time varies among enzymes. Although no direct evidence is available, we cannot rule out the possibility that nutritional inadequacy of K. mikimotoi may be also a stressor to activate antioxidants in copepods. Here, we used T-AOC to describe the cumulative action of all the antioxidants present in T. japonicus, which was significantly induced by K. mikimotoi with least variation among concentrations, whereas the activities of SOD, CAT, and GPx fluctuated. In comparison with the control, no inhibition was found in antioxidant enzyme activity, indicating that the oxidative stress imposed by K. mikimotoi was still within the antioxidative capacity of T. japonicus. However, with the increase of algal concentrations, the elevated enzyme activity of SOD and GPx was followed by a reduction, which points to the possibility that a minimum threshold concentration may be required to depress the enzyme activity. A similar bell-shape pattern has been detected in the SOD activity of abalone exposed to K. mikimotoi [14] and several antioxidant biomarkers of zebrafish exposed to microcystins [66]. It has been suggested that activation of antioxidant is energy- and nutrient-demanding [36]. Therefore, exceeding the threshold of concentration or exposure time would exhaust antioxidative capacity and lead to decreased antioxidant levels [67]. Moreover, a positive correlation among antioxidant biomarkers (Table 5) highlighted the cooperation in the antioxidant defense system of T. japonicus to counteract K. mikimotoi toxicity, in concert with the findings in T. japonicus exposed to nickel [38].
Interestingly, a strongly positive correlation was also found between AChE and all oxidative-status-related variables (ROS level and antioxidant activity). We found that with the increase of K. mikimotoi concentrations, AChE activity significantly increased, followed by a decrease (Figure 3). Activated AChE activities have been also found in copepods fed on toxic cyanobacteria and several other microcrustaceans under stress [37,67]. AChE has been identified as a biomarker of neurotoxic contaminants in benthic copepods [68]. In concert with previous findings on zebrafish larvae and rotifers [69,70], we observed tetany and hypoactivity in T. japonicus during exposure to K. mikimotoi (data not shown). Although a neurotoxin has not been identified in K. mikimotoi, they produced brevetoxin-like polyethers [9,10,62,63], and genes related to polyketide synthase and saxitoxin synthesis were identified in its transcriptomes [71]. Niu et al. [15] investigated potential K. mikimotoi neurotoxicity in zebrafish larvae and found an association between AChE, SOD, and CAT activity and the differential expression of neurodevelopment genes. Whether K. mikimotoi exerts neurotoxicity in copepods needs further experimental validation. However, given the remarkable diversity of AChE functions [72], the alternation of AChE activity could be the response to various external stimuli other than neurotransmission, which might be associated with physiological stress, such as oxidative stress [67].

4.4. Development and Reproduction

It has been commonly found that toxic algae and their toxins exert adverse effects on the development and reproduction of copepods, but multigeneration toxicity of K. mikimotoi in copepods has not been covered in previous studies [29,30,31]. We found that in F1, although K. mikimotoi at concentrations < 4000 cells·mL−1 could support both nauplii and copepodites of T. japonicus to complete their development with high survival, the development time of both stages were significantly prolonged under all tested concentrations (Figure 4). In agreement with a multigeneration study on T. japonicus exposed to mercury, the response of F1 at the highest concentration predicted that of future generations [23]. Survival rates of two stages in F1 were significantly reduced at the highest concentration (4000 cells·mL−1), and the inhibitory impact of K. mikimotoi on development increased in F2, indicating the potential accumulation effect with generations. Remarkably, 70% of F2 nauplii exposed to 4000 cells·mL−1 K. mikimotoi successfully developed to copepodite, none of which could survive to adult stage. This suggests that copepodite could be more vulnerable under continuous exposure, in accordance with the results of chronic test in T. japonicus exposed to the biocide triphenyltin [24]. Contrastingly, our acute test results support the commonly accepted idea that early life stage is more sensitive to environmental stresses, with 96 h-LC50 for nauplii being about half of that for copepodite. Such inconsistency may be due to the cumulative damage from repeated or long-term continual exposure, which could ultimately produce more severe effects in the late juvenile stage.
We further found that the exposure to K. mikimotoi significantly reduced the egg production and number of clutches in T. japonicus, which is in concert with previous reports in the calanoid copepods A. omorii, C. helgolandicus, C. sinicus, P. marinus, and T. longicornis [29,30,31]. Although in some cases the hatching success of copepods may not be affected by K. mikimotoi [23], and due to the hormesis effect [73], low concentrations of some toxic algae such as cyanobacteria Nodularia spumigena and Colichlodinium polykrikoides may be beneficial to copepod reproduction and development [74,75], our findings confirmed that K. mikimotoi suppressed the reproduction of T. japonicus, even at the lowest tested concentration (500 cells·mL−1). Copepods exposed to toxic algae for a long period may lack enough energy and nutrients to complete their development and reproduction, due to the high maintenance cost for detoxification [60,76]. The situation may get worse when the algae is nutritionally inadequate, as with K. mikimotoi [19,31], and ATP synthesis is inhibited by some environmental stress [77]. Although Wang et al. [27] argued that the egg sac of T. japonicus can protect eggs from external environmental disturbances, the detrimental effect of K. mikimotoi on the reproduction of benthic copepods is comparable to that on pelagic copepods. Moreover, the number of successfully developed adult females in F2 was too low to conduct subsequent evaluation on egg production, which indicates that K. mikimotoi may also affect the sex determination of copepods. Sex determination in copepods is under strong environmental control [78], such as temperature [79], food quality and quantity [80], and toxic algae [81]. In our study, the chronic exposure to K. mikimotoi in both parents and offspring may have disturbed the sex determination in F2, and the decreased number of adult females was also observed in F2 T. japonicus exposed to biocide [24]. The prolonged development time, the decrease of development success rate, egg production, number of clutches, and female adults in T. japonicus collectively demonstrate that population recruitment of copepods could be adversely affected by K. mikimotoi, particularly in long-lasting blooms.

5. Conclusions

Adult T. japonicus showed high tolerance to toxic dinoflagellate K. mikimotoi with significant reduction of survival only detected at the highest algal concentration. But nauplii and copepodites were more vulnerable compared to adults, and survival rate decreased with time and concentrations. Exposure to K. mikimotoi depressed the grazing of copepods but significantly elevated oxidative stress and the level of AChE. Strong positive correlations among biochemical parameters highlighted the cooperation in the antioxidant defense system of T. japonicus to counteract K. mikimotoi, and oxidative stress may be associated with other physiological stress induced by K. mikimotoi. Moreover, K. mikimotoi exerted detrimental effects on development and reproduction in T. japonicus. Our findings suggest that the bloom of K. mikimotoi may threaten copepod population recruitment, and its adverse effects are associated with oxidative stress.

Author Contributions

Y.Z. and H.C. conceived and coordinated the project with help from G.L.; H.C. and J.W. performed the experiment; H.C., Y.Z., J.W. and W.Y. analyzed and visualized data; Y.Z., H.C. and J.W. wrote the manuscript with input from all authors. G.L. supervised the work. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the Science & Technology Basic Resources Investigation Program of China (No. 2018FY100200).

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

The data presented in this study are available in the article.

Acknowledgments

Copepods were collected and raised with the help of Fanghong Mu and Yu Zang from Ocean University of China. Algal cultures were maintained with the help of Tianying Chen from Ocean University of China.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Matsuyama, Y.; Shumway, S. Impacts of Harmful Algal Blooms on Shellfisheries Aquaculture; Woodhead Publishing: Sawston, UK, 2009; pp. 580–609. [Google Scholar]
  2. Landsberg, J.H. The effects of harmful algal blooms on aquatic organisms. Rev. Fish. Sci. 2002, 10, 113–390. [Google Scholar] [CrossRef]
  3. Smayda, T.J. Harmful algal blooms: Their ecophysiology and general relevance to phytoplankton blooms in the sea. Limnol. Oceanogr. 1997, 42, 1137–1153. [Google Scholar] [CrossRef]
  4. Li, X.; Yan, T.; Yu, R.; Zhou, M. A review of Karenia mikimotoi: Bloom events, physiology, toxicity and toxic mechanism. Harmful Algae 2019, 90, 101702. [Google Scholar] [CrossRef]
  5. Gentien, P. Bloom dynamics and ecophysiology of the Gymnodinium mikimotoi species complex. In Physiological Ecology of Harmful Algal Blooms; Anderson, D.M., Cembella, A.D., Hallegraeff, G.M., Eds.; Springer: Berlin/Heidelberg, Germany, 1998; pp. 155–173. [Google Scholar]
  6. Brand, L.E.; Campbell, L.; Bresnan, E. Karenia: The biology and ecology of a toxic genus. Harmful Algae 2012, 14, 156–178. [Google Scholar] [CrossRef]
  7. Mooney, B.D.; Nichols, P.D.; Salas, M.F.D.; Hallegraeff, G.M. Lipid, fatty acid, and sterol composition of eight species of Kareniaceae (Dinophyta): Chemotaxonomy and putative lipid phycotoxins. J. Phycol. 2007, 43, 101–111. [Google Scholar] [CrossRef]
  8. Neely, T.; Campbell, L. A modified assay to determine hemolytic toxin variability among Karenia clones isolated from the Gulf of Mexico. Harmful Algae 2006, 5, 592–598. [Google Scholar] [CrossRef]
  9. Satake, M.; Shoji, M.; Oshima, Y.; Naoki, H.; Fujita, T.; Yasumoto, T. Gymnocin-A, a cytotoxic polyether from the notorious red tide dinoflagellate, Gymnodinium mikimotoi. Tetrahedron Lett. 2002, 43, 5829–5832. [Google Scholar] [CrossRef]
  10. Satake, M.; Tanaka, Y.; Ishikura, Y.; Oshima, Y.; Naoki, H.; Yasumoto, T. Gymnocin-B with the largest contiguous polyether rings from the red tide dinoflagellate, Karenia (formerly Gymnodinium) mikimotoi. Tetrahedron Lett. 2005, 46, 3537–3540. [Google Scholar] [CrossRef]
  11. Cho, K.; Ueno, M.; Liang, Y.; Kim, D.; Oda, T. Generation of Reactive Oxygen Species (ROS) by Harmful Algal Bloom (HAB)-Forming Phytoplankton and Their Potential Impact on Surrounding Living Organisms. Antioxidants 2022, 11, 206. [Google Scholar] [CrossRef]
  12. Kim, D.; Wencheng, L.; Matsuyama, Y.; Cho, K.; Yamasaki, Y.; Takeshita, S.; Yamaguchi, K.; Oda, T. Extremely high level of reactive oxygen species (ROS) production in a newly isolated strain of the dinoflagellate Karenia mikimotoi. Eur. J. Phycol. 2019, 54, 632–640. [Google Scholar] [CrossRef]
  13. Yamasaki, Y.; Kim, D.I.; Matsuyama, Y.; Oda, T.; Honjo, T. Production of superoxide anion and hydrogen peroxide by the red tide dinoflagellate Karenia mikimotoi. J. Biosci. Bioeng. 2004, 97, 212–215. [Google Scholar] [CrossRef]
  14. Lin, J.; Yan, T.; Zhang, Q.; Wang, Y.; Liu, Q.; Zhou, M. Effects of Karenia mikimotoi blooms on antioxidant enzymes in gastropod abalone, Haliotis discus hannai. Mar. Sci. 2016, 40, 17–22. [Google Scholar]
  15. Niu, X.; Xu, S.; Yang, Q.; Xu, X.; Zheng, M.; Li, X.; Guan, W. Toxic effects of the dinoflagellate Karenia mikimotoi on zebrafish (Danio rerio) larval behavior. Harmful Algae 2021, 103, 101996. [Google Scholar] [CrossRef] [PubMed]
  16. Zhang, P.P.; Song, X.X.; Zhang, Y.; Zhu, J.A.; Shen, H.H.; Yu, Z.M. Assessing the effect of modified clay on the toxicity of Karenia mikimotoi using marine medaka (Oryzias melastigma) as a model organism. Toxics 2022, 10, 105. [Google Scholar] [CrossRef] [PubMed]
  17. Zhang, T.F.; Yan, T.; Qing-Chun, Z.; Xiao-Dong, L.I.; Zhou, M.J. Acute effect of four typical bloom forming algae on abalone Haliotis discus hannai and its antioxidant enzymes system. Mar. Environ. Sci. 2018, 37, 207–214. [Google Scholar]
  18. Zheng, J.; Mao, X.; Ye, M.; Li, H.; Liu, J.; Yang, W. Allelopathy and underlying mechanism of Karenia mikimotoi on the diatom Thalassiosira pseudonana under laboratory condition. Algal Res. 2021, 54, 102229. [Google Scholar] [CrossRef]
  19. Dang, L.X.; Li, Y.; Liu, F.; Zhang, Y.; Yang, W.D.; Li, H.Y.; Liu, J.S. Chemical response of the toxic dinoflagellate Karenia mikimotoi against grazing by three species of zooplankton. J. Eukaryot. Microbiol. 2015, 62, 470–480. [Google Scholar] [CrossRef]
  20. Zou, Y.; Kim, D.; Yagi, M.; Yamasaki, Y.; Kurita, J.; Iida, T.; Matsuyama, Y.; Yamaguchi, K.; Oda, T. Application of LDH-release assay to cellular-level evaluation of the toxic potential of harmful algal species. Biosci. Biotechnol. Biochem. 2013, 77, 345–352. [Google Scholar] [CrossRef] [Green Version]
  21. Turner, J.T. Planktonic marine copepods and harmful algae. Harmful Algae 2014, 32, 81–93. [Google Scholar] [CrossRef]
  22. Lee, Y.H.; Kang, H.; Kim, M.; Wang, M.; Kim, J.H.; Jeong, C.; Lee, J. Effects of ocean acidification on life parameters and antioxidant system in the marine copepod Tigriopus japonicus. Aquat. Toxicol. 2019, 212, 186–193. [Google Scholar] [CrossRef]
  23. Li, H.; Shi, L.; Wang, D.; Wang, M. Impacts of mercury exposure on life history traits of Tigriopus japonicus: Multigeneration effects and recovery from pollution. Aquat. Toxicol. 2015, 166, 42–49. [Google Scholar] [CrossRef] [PubMed]
  24. Yi, A.X.; Han, J.; Lee, J.S.; Leung, K.M. Ecotoxicity of triphenyltin on the marine copepod Tigriopus japonicus at various biological organisations: From molecular to population-level effects. Ecotoxicology 2014, 23, 1314–1325. [Google Scholar] [CrossRef]
  25. Raisuddin, S.; Kwok, K.W.H.; Leung, K.M.Y.; Schlenk, D.; Lee, J. The copepod Tigriopus: A promising marine model organism for ecotoxicology and environmental genomics. Aquat. Toxicol. 2007, 83, 161–173. [Google Scholar] [CrossRef] [PubMed]
  26. Chen, Z.; Wang, G.; Zeng, C.; Wu, L. Comparative study on the effects of two diatoms as diets on planktonic calanoid and benthic harpacticoid copepods. J. Exp. Zool. Part A Ecol. Integr. Physiol. 2018, 329, 140–148. [Google Scholar] [CrossRef] [PubMed]
  27. Wang, G.; Xu, J.; Zeng, C.; Jia, Q.; Wu, L.; Li, S. Pelagic microalgae as suitable diets for the benthic harpacticoid copepod Tigriopus japonicus. Hydrobiologia 2015, 762, 81–88. [Google Scholar] [CrossRef]
  28. Gentien, P.; Lunven, M.; Lazure, P.; Youenou, A.; Crassous, M.P. Motility and autotoxicity in Karenia mikimotoi (Dinophyceae). Philos. Trans. R. Soc. B Biol. Sci. 2007, 362, 1937–1946. [Google Scholar] [CrossRef] [Green Version]
  29. Uye, S.; Takamatsu, K. Feeding interactions between planktonic copepods and red-tide flagellates from Japanese coastal waters. Mar. Ecol. Prog. Ser. 1990, 59, 97–107. [Google Scholar] [CrossRef]
  30. Gill, C.; Harris, R.P. Behavioural responses of the copepods Calanus helgolandicus and Temora longicornis to dinoflagellate diets. J. Mar. Biol. Assoc. UK 1987, 67, 785–801. [Google Scholar] [CrossRef]
  31. Lin, J.; Song, J.; Yan, T.; Zhang, Q.; Zhou, M. Large-scale dinoflagellate bloom species Prorocentrum donghaiense and Karenia mikimotoi reduce the survival and reproduction of copepod Calanus sinicus. J. Mar. Biol. Assoc. UK 2015, 95, 1071–1079. [Google Scholar] [CrossRef]
  32. Li, X.; Yan, T.; Lin, J.; Yu, R.; Zhou, M. Detrimental impacts of the dinoflagellate Karenia mikimotoi in Fujian coastal waters on typical marine organisms. Harmful Algae 2017, 61, 1–12. [Google Scholar] [CrossRef]
  33. Schultz, M.; Kiorboe, T. Active prey selection in two pelagic copepods feeding on potentially toxic and non-toxic dinoflagellates. J. Plankton Res. 2009, 31, 553–561. [Google Scholar] [CrossRef] [Green Version]
  34. Xu, J.Y.; Kiorboe, T. Toxic dinoflagellates produce true grazer deterrents. Ecology 2018, 99, 2240–2249. [Google Scholar] [CrossRef] [PubMed]
  35. Guillard, R.; Hargraves, P.E. Stichochrysis immobilis is a diatom, not a chrysophyte. Phycologia 1993, 32, 234–236. [Google Scholar] [CrossRef]
  36. Pamplona, R.; Costantini, D. Molecular and structural antioxidant defenses against oxidative stress in animals. Am. J. Physiol. Regul. Integr. Comp. Physiol. 2011, 301, 843–863. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  37. Gorokhova, E.; El-Shehawy, R. Antioxidant responses in copepods are driven primarily by food intake, not by toxin-producing cyanobacteria in the diet. Aquat. Physiol. 2022, 12, 805646. [Google Scholar] [CrossRef] [PubMed]
  38. Wang, M.; Wang, G. Oxidative damage effects in the copepod Tigriopus japonicus Mori experimentally exposed to nickel. Ecotoxicology 2010, 19, 273–284. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  39. Frost, B.W. Effects of size and concentration of food particles on the feeding behavior of the marine planktonic copepod Calanus pacificus. Limnol. Oceanogr. 1972, 17, 805–815. [Google Scholar] [CrossRef] [Green Version]
  40. Menden-DEUER, S.; Lessard, E.J. Carbon to volume relationships for dinoflagellates, diatoms, and other protist plankton. Limnol. Oceanogr. 2000, 45, 569–579. [Google Scholar] [CrossRef] [Green Version]
  41. Sotka, E.E.; McCarty, A.; Monroe, E.A.; Oakman, N.; Van Dolah, F.M. Benthic herbivores are not deterred by breve-toxins produced by the red tide dinoflagellate Karenia brevis. J. Chem. Ecol. 2009, 31, 851–859. [Google Scholar] [CrossRef]
  42. Taylor, R.L.; Caldwell, G.S.; Dunstan, H.J.; Bentley, M.G. Short-term impacts of polyunsaturated aldehyde- producing diatom on the harpacticoid copepod, Tisbe holothuriae. J. Exp. Mar. Biol. Ecol. 2007, 341, 60–69. [Google Scholar] [CrossRef]
  43. Han, J.; Park, J.S.; Park, Y.; Lee, J.; Shin, H.H.; Lee, K. Effects of paralytic shellfish poisoning toxin-producing dinoflagellate Gymnodinium catenatum on the marine copepod Tigriopus japonicus. Mar. Pollut. Bull. 2021, 163, 111937. [Google Scholar] [CrossRef]
  44. Hong, H.; Wang, J.; Shi, D. Effects of salinity on the chronic toxicity of 4-methylbenzylidene camphor (4-MBC) in the marine copepod Tigriopus japonicus. Aquat. Toxicol. 2021, 232, 105742. [Google Scholar] [CrossRef] [PubMed]
  45. Kwok, K.W.H.; Leung, K.M.Y. Toxicity of antifouling biocides to the intertidal harpacticoid copepod Tigriopus japonicus (Crustacea, Copepoda): Effects of temperature and salinity. Mar. Pollut. Bull. 2005, 51, 830–837. [Google Scholar] [CrossRef] [PubMed]
  46. Chang, J.; Carpenter, E.J. Blooms of the dinoflagellate Gyrodinium aureolum in a Long Island estuary: Box model analysis of bloom maintenance. Mar. Biol. 1985, 89, 83–93. [Google Scholar] [CrossRef]
  47. Amado, L.L.; Monserrat, J.M. Oxidative stress generation by microcystins in aquatic animals: Why and how. Environ. Int. 2010, 36, 226–235. [Google Scholar] [CrossRef]
  48. Hinojosa, M.G.; Gutiérrez-Praena, D.; Prieto, A.I.; Guzmán-Guillén, R.; Jos, A.; Cameán, A.M. Neurotoxicity induced by microcystins and cylindrospermopsin: A review. Sci. Total Environ. 2019, 668, 547–565. [Google Scholar] [CrossRef] [PubMed]
  49. Jones, D.P. Redefining oxidative stress. Antioxid. Redox Signal. 2006, 8, 1865–1879. [Google Scholar] [CrossRef]
  50. Yasumoto, T.; Underdal, T.; Aune, T.; Hormazabal, V.; Skulberg, O.M.; Oshima, Y. Screening for hemolytic and ichthyotoxic components of Chrysochromulina polylepis and Gyrodinium aureolum from Norwegian coastal waters. In Toxic Mar. Phytoplankton; Graneli, E., Sundstrom, B., Edler, L., Anderson, D.M., Eds.; Elsevier: New York, NY, USA, 1990; pp. 436–440. [Google Scholar]
  51. Marshall, J.; de Salas, M.; Oda, T.; Hallegraeff, G. Superoxide production by marine microalgae I. Survey of 37 Species From 6 Classes. Mar. Biol. 2005, 147, 533–540. [Google Scholar] [CrossRef]
  52. Kim, D.; Li, W.; Matsuyama, Y.; Matsuo, A.; Yagi, M.; Cho, K.; Yamasaki, Y.; Takeshita, S.; Yamaguchi, K.; Oda, T. Strain-dependent lethal effects on abalone and haemolytic activities of the dinoflagellate Karenia mikimotoi. Aquaculture 2020, 520, 734953. [Google Scholar] [CrossRef]
  53. Li, Y.; Yu, J.; Sun, T.; Liu, C.; Sun, Y.; Wang, Y. Using the marine rotifer Brachionus plicatilis as an endpoint to evaluate whether ROS-dependent hemolytic toxicity Is involved in the allelopathy induced by Karenia mikimotoi. Toxins 2018, 10, 439. [Google Scholar] [CrossRef] [Green Version]
  54. Haque, M.N.; Nam, S.E.; Shin, Y.K.; Rhee, J.S. The dinoflagellate Alexandrium affine acutely induces significant modulations on innate immunity, hepatic function, and antioxidant defense system in the gill and liver tissues of red seabream. Aquat. Toxicol. 2021, 240, 105985. [Google Scholar] [CrossRef] [PubMed]
  55. Ding, W.; Ong, C.N. Role of oxidative stress and mitochondrial changes in cyanobacteria-induced apoptosis and hepatotoxicity. FEMS Microbiol. Lett. 2003, 220, 1–7. [Google Scholar] [CrossRef]
  56. Zhang, H.; Zhang, J.; Chen, Y.; Zhu, J. Influence of intracellular Ca2+, mitochondriamembrane potential, reactive oxygen species, and intracellular ATP on the mechanism of microcystin-LR induced apoptosis in Carassius auratus lymphocytes in vitro. Environ. Toxicol. 2007, 22, 559–564. [Google Scholar] [CrossRef] [PubMed]
  57. Li, X.; Liu, Y.; Song, L.; Liu, J. Responses of antioxidant systems in the hepatocytes of common carp (Cyprinus carpio L.) to the toxicity of microcystin-LR. Toxicon 2003, 42, 85–89. [Google Scholar] [CrossRef]
  58. Colón, R.; Wheater, M.; Joyce, E.; Ste. Marie, E.; Hondal, R.; Rein, K. The marine neurotoxin brevetoxin (PbTx-2) inhibits Karenia brevis and Mammalian Thioredoxin reductases by targeting different residues. J. Nat. Prod. 2021, 84, 2961–2970. [Google Scholar] [CrossRef]
  59. Chen, W.; Tuladhar, A.; Rolle, S.; Lai, Y.; Rodriguez del Rey, F.; Zavala, C.E.; Rein, K.S. Brevetoxin-2, is a unique inhi bi tor of the C-terminal redox center of mammalian thioredoxin reductase-1. Toxicol. Appl. Pharmacol. 2017, 329, 58–66. [Google Scholar] [CrossRef]
  60. Tuladhar, A.; Hondal, R.J.; Colon, R.; Hernandez, E.L.; Rein, K.S. Effectors of thioredoxin reductase: Brevetoxins and manumycin-A. Comp. Biochem. Physiol. Part C Toxicol. Pharmacol. 2019, 217, 76–86. [Google Scholar] [CrossRef]
  61. Matsuzawa, A. Thioredoxin and redox signaling: Roles of the thioredoxin system in control of cell fate. Arch. Biochem. Biophys. 2017, 617, 101–105. [Google Scholar] [CrossRef]
  62. Sasaki, M.; Tsukano, C.; Tachibana, K. Studies toward the total synthesis of gymnocin A, a cytotoxic polyether: A highly con vergent entry to the F-N ring frag- ment. Org. Lett. 2007, 4, 1747–1750. [Google Scholar] [CrossRef]
  63. Tanaka, Y.; Satake, M.; Yotsu-Yamashita, M. Gymnocin-A carboxylic acid and gymnocin-A2, cytotoxic polyethers from the red tide dinoflagellate Karenia mikimotoi. Heterocycles 2013, 87, 2037–2046. [Google Scholar] [CrossRef]
  64. Seo, J.S.; Lee, K.; Rhee, J.; Hwang, D.; Lee, Y.; Park, H.G.; Ahn, I.; Lee, J. Environmental stressors (salinity, heavy metals, H2O2) modulate expression of glutathione reductase (GR) gene from the intertidal copepod Tigriopus japonicus. Aquat. Toxicol. 2006, 80, 281–289. [Google Scholar] [CrossRef] [PubMed]
  65. Zhang, D.; Li, S.; Wang, G.; Guo, D.; Xing, K.; Zhang, S. Biochemical responses of the copepod Centropages tenuiremis to CO2-driven acidified seawater. Water Sci. Technol. 2012, 65, 30–37. [Google Scholar] [CrossRef] [PubMed]
  66. Pavagadhi, S.; Gong, Z.; Hande, M.P.; Dionysiou, D.D.; de la Cruz, A.A.; Balasubramanian, R. Biochemical response of diverse organs in adult Danio rerio (zebrafish) exposed to sub-lethal concentrations of microcystin-LR and microcystin-RR: A balneation study. Aquat. Toxicol. 2012, 109, 1–10. [Google Scholar] [CrossRef] [PubMed]
  67. Gorokhova, E.; Löf, M.; Reutgard, M.; Lindström, M.; Sundelin, B. Exposure to contaminants exacerbates oxidative stress in amphipod Monoporeia affinis subjected to fluctuating hypoxia. Aquat. Toxicol. 2013, 127, 46–53. [Google Scholar] [CrossRef]
  68. Forget, J.; Beliaeff, B.; Bocquene, G. Acetylcholinesterase activity in copepods (Tigriopus brevicornis) from the Vilaine River estuary, France, as a biomarker of neurotoxic contaminants. Aquat. Toxicol. 2003, 62, 195–204. [Google Scholar] [CrossRef] [Green Version]
  69. Li, X.; Yan, T.; Zhang, Q.; Yu, R.; Zhou, M. Inhibition to crucial enzymes in the lethal effects of the dinoflagellate Karenia mikimotoi on the rotifer Brachionus plicatilis. Mar. Environ. Res. 2020, 157, 104866. [Google Scholar] [CrossRef]
  70. Qian, H.; Liu, G.; Lu, T.; Sun, L. Developmental neurotoxicity of Microcystis aeruginosa in the early life stages of zebrafish. Ecotox. Environ. Safe 2018, 151, 35–41. [Google Scholar] [CrossRef]
  71. Kimura, K.; Okuda, S.; Nakayama, K.; Shikata, T.; Takahashi, F.; Yamaguchi, H.; Skamoto, S.; Yamaguchi, M.; Tomaru, Y. RNA sequencing revealed numerous polyketide synthase genes in the harmful dinoflagellate Karenia mikimotoi. PLoS ONE 2015, 10, e142731. [Google Scholar] [CrossRef] [Green Version]
  72. Soreq, H.; Seidman, S. Acetylcholinesterase—New roles for an old actor. Nat. Rev. Neurosci. 2001, 4, 294–302. [Google Scholar] [CrossRef]
  73. Azzam, E.I. Exposure to low level environmental agents: The induction of hormesis. Mutat. Res. 2011, 726, 89–90. [Google Scholar] [CrossRef] [Green Version]
  74. Jiang, X.; Lonsdale, D.J.; Gobler, C.J. Density-dependent nutritional value of the dinoflagellate Cochlodinium polykrikoides to the copepod Acartia tonsa. Limnol. Oceanogr. 2010, 55, 1643–1652. [Google Scholar] [CrossRef]
  75. Vehmaa, A.; Hogfors, H.; Gorokhova, E.; Brutemark, A.; Holmborn, T.; Engstrom-Ost, J. Projected marine climate change: Effects on copepod oxidative status and reproduction. Ecol. Evol. 2013, 3, 4548–4557. [Google Scholar] [CrossRef] [PubMed]
  76. Jager, T.; Crommentuijn, T.; Van Gestel, C.A.M.; Kooijman, S.A.L.M. Simultaneous modeling of multiple end points in life-cycle toxicity tests. Environ. Sci. Technol. 2004, 38, 2894–2900. [Google Scholar] [CrossRef] [PubMed]
  77. Hunziker, R.W.; Escher, B.I.; Schwarzenbach, R.P. Acute toxicity of triorganotin compounds: Different specific effects on the energy metabolism and role of pH. Environ. Toxicol. Chem. 2002, 21, 1191–1197. [Google Scholar] [CrossRef]
  78. Joy, K. Sexual Biology and Reproduction in Crustaceans. Proc. Indian Natl. Sci. Acad. 2017, 83, 231–232. [Google Scholar] [CrossRef]
  79. Voordouw, M.J.; Anholt, B.R. Environmental sex determination in a splash pool copepod. Biol. J. Linn. Soc. 2002, 76, 511–520. [Google Scholar] [CrossRef]
  80. Gusmao, L.F.M.; McKinnon, A.D. Sex ratios, intersexuality and sex change in copepods. J. Plankton Res. 2009, 31, 1101–1117. [Google Scholar] [CrossRef] [Green Version]
  81. Avery, D.E.; Altland, K.K.; Dam, H.G. Sex-related differential mortality of a marine copepod exposed to a toxic dinoflagellate. Limnol. Oceanogr. 2008, 53, 2627–2635. [Google Scholar] [CrossRef]
Figure 1. The survival rates of copepod T. japonicus adult female (a), copepodite (b), and nauplii (c) exposed to K. mikimotoi. (mean ± SD, n = 3). Error bars represent SD. Different letters indicate a significant difference among groups at p < 0.05.
Figure 1. The survival rates of copepod T. japonicus adult female (a), copepodite (b), and nauplii (c) exposed to K. mikimotoi. (mean ± SD, n = 3). Error bars represent SD. Different letters indicate a significant difference among groups at p < 0.05.
Antioxidants 11 02299 g001
Figure 3. Effects of K. mikimotoi on biochemical parameters related to oxidative stress and neurotransmitter in T. japonicus. (a) reactive oxygen species (ROS), (b) total antioxidant capacity (T-AOC), (c) superoxide dismutase (SOD), (d) catalase (CAT), (e) glutathione peroxidase (GPx), and (f) acetylcholinesterase (AChE). Different letters indicate a significant difference among groups at p < 0.05.
Figure 3. Effects of K. mikimotoi on biochemical parameters related to oxidative stress and neurotransmitter in T. japonicus. (a) reactive oxygen species (ROS), (b) total antioxidant capacity (T-AOC), (c) superoxide dismutase (SOD), (d) catalase (CAT), (e) glutathione peroxidase (GPx), and (f) acetylcholinesterase (AChE). Different letters indicate a significant difference among groups at p < 0.05.
Antioxidants 11 02299 g003
Figure 4. Development time (a,b) and survival rate (c,d) in two generations of T. japonicus exposed to different K. mikimotoi concentrations. (a,c), nauplius to copepodid stage, (b,d), copepodid to adult stage. Different letters indicate a significant difference among groups at p < 0.05.
Figure 4. Development time (a,b) and survival rate (c,d) in two generations of T. japonicus exposed to different K. mikimotoi concentrations. (a,c), nauplius to copepodid stage, (b,d), copepodid to adult stage. Different letters indicate a significant difference among groups at p < 0.05.
Antioxidants 11 02299 g004
Figure 5. Fecundity (a,b) and number of clutch (c) of T. japonicus exposed to different K. mikimotoi concentrations. Different letters indicate a significant difference among treatments at p < 0.05.
Figure 5. Fecundity (a,b) and number of clutch (c) of T. japonicus exposed to different K. mikimotoi concentrations. Different letters indicate a significant difference among treatments at p < 0.05.
Antioxidants 11 02299 g005
Table 1. Summary of studies revealing the adverse effects of K. mikimotoi on copepods.
Table 1. Summary of studies revealing the adverse effects of K. mikimotoi on copepods.
CopepodK. mikimotoi Strain or SourceAdverse EffectsReferences
Acartia omoriiJapanese coastal watersSurvival, feeding, egg production[29]
Calanus helgolandicus-Feeding, egg production[30]
C. sinicusEast China SeaSurvival, reproduction[31]
C. sinicusEast China SeaSurvival[32]
Pseudocalanus elongatusK-260, OslofjordenFeeding[33]
Pseudodiaptomus marinusJapanese coastal watersSurvival, feeding, egg production[29]
Pseudodiaptomus annandaleiSouth China SeaSurvival[19]
Temora longicornis-Feeding, egg production[30]
T. longicornisK-260, Oslofjorden, NorwayFeeding[33,34]
T. longicornisCCMP429, Sutton Harbor, UKFeeding[34]
Tigriopus japonicusCoast of Qingdao, ChinaSurvival, feeding, biochemical response, development and reproductionthis study
Table 2. Algae characteristic parameters used in the experiment.
Table 2. Algae characteristic parameters used in the experiment.
AlgaeCell Size
(μm)
Cell Volume
(μm3)
Carbon Content
(×10−6 µg·C·cell−1)
K. mikimotoi26.910,146.63368.4
I. galbana5.135.38.05
Table 4. Effects of K. mikimotoi concentrations on biochemical parameters in T. japonicus.
Table 4. Effects of K. mikimotoi concentrations on biochemical parameters in T. japonicus.
Biochemical ParameterFdfp
ROS20.0240.000
T-AOC39.9040.000
SOD47.2140.000
CAT13.7940.000
GPx40.3140.000
AChE8.6840.003
Table 5. Pearson correlation matrix on biochemical parameters in T. japonicus exposed to K. mikimotoi.
Table 5. Pearson correlation matrix on biochemical parameters in T. japonicus exposed to K. mikimotoi.
ROST-AOCSODCATGPxAChE
ROS1.000
T-AOC0.705 **1.000
SOD0.676 **0.701 **1.000
CAT0.766 **0.733 **0.3561.0001.000
GPx0.2560.528 *0.0580.569 *1.000
AChE0.679 **0.721 **0.701 **0.723 **0.700 **1.000
Asterisks indicate the significance of correlation, * p < 0.05, ** p < 0.01.
Table 6. Effects of K. mikimotoi concentration and generation on the development in T. japonicus.
Table 6. Effects of K. mikimotoi concentration and generation on the development in T. japonicus.
Response VariableTreatmentGenerationTreatment × Generation
FdfpFdfpFdfp
Nauplii to copepodite
evelopment time
16.740220.6103.840.156
Copepodite to adult development time43.740187.91019.930
Nauplii to copepodite development success rate19.54084.5105.540.002
Copepodite to adult development success rate16.84038.8105.330
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Chen, H.; Wang, J.; Zhuang, Y.; Yu, W.; Liu, G. Reduced Fitness and Elevated Oxidative Stress in the Marine Copepod Tigriopus japonicus Exposed to the Toxic Dinoflagellate Karenia mikimotoi. Antioxidants 2022, 11, 2299. https://doi.org/10.3390/antiox11112299

AMA Style

Chen H, Wang J, Zhuang Y, Yu W, Liu G. Reduced Fitness and Elevated Oxidative Stress in the Marine Copepod Tigriopus japonicus Exposed to the Toxic Dinoflagellate Karenia mikimotoi. Antioxidants. 2022; 11(11):2299. https://doi.org/10.3390/antiox11112299

Chicago/Turabian Style

Chen, Hongju, Jing Wang, Yunyun Zhuang, Wenzhuo Yu, and Guangxing Liu. 2022. "Reduced Fitness and Elevated Oxidative Stress in the Marine Copepod Tigriopus japonicus Exposed to the Toxic Dinoflagellate Karenia mikimotoi" Antioxidants 11, no. 11: 2299. https://doi.org/10.3390/antiox11112299

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop