Open Access

Expressions of oxidative stress-related genes and antioxidant enzyme activities in Mytilus galloprovincialis (Bivalvia, Mollusca) exposed to hypoxia

  • Seonock Woo1,
  • Vianney Denis2,
  • Hyokyung Won1,
  • Kyungsoon Shin3,
  • Gunsup Lee1,
  • Taek-Kyun Lee1 and
  • Seungshic Yum1Email author
Zoological Studies201352:15

https://doi.org/10.1186/1810-522X-52-15

Received: 23 February 2013

Accepted: 3 May 2013

Published: 30 September 2013

Abstract

Background

In this study, we investigated transcription and enzyme level responses of mussels Mytilus galloprovincialis exposed to hypoxic conditions. Genes for catalase (CAT), cytochrome P450, glutathione S-transferase (GST), metallothionein, superoxide dismutase (SOD), cytochrome c oxidase subunit 1 (COX-1), and NADH dehydrogenase subunit 2 were selected for study. Transcriptional changes were investigated in mussels exposed to hypoxia for 24 and 48 h and were compared to changes in control mussels maintained at normal oxygen levels. Activities of CAT, GST, and SOD enzymes, and lipid peroxidation (LPO) were also investigated in mussels following exposure to hypoxia for 24, 48, and 72 h.

Results

Relative to the control group, the CAT activity decreased in all hypoxia treatments, while the activity of GST significantly increased in mussels exposed to hypoxia for 24 and 48 h, but decreased in those exposed for 72 h. The LPO levels were significantly higher in mussels in the 24- and 48-h hypoxia treatments than those in the control mussels, but there was no significant change in the SOD activities among all hypoxia treatments. Messenger RNA levels for the CAT, cytochrome P450, GST, metallothionein, and SOD genes were not significantly affected by hypoxic conditions for 48 h, but the expressions of the COX-1 and NADH dehydrogenase subunit 2 genes were significantly repressed in mussels in both the 24- and 48-h exposure treatments.

Conclusions

These results demonstrate the transcriptional stability and changes among several genes related to oxidative stress under oxygen-depletion conditions in M. galloprovincialis and provide useful information about the modulation of antioxidant enzyme activities induced by hypoxia in a marine animal.

Keywords

Mytilus galloprovincialis Hypoxia Oxidative stress-related gene Antioxidant enzymes

Background

Hypoxia is defined as a dissolved oxygen (DO) concentration of <2.8 mg O2/L (equivalent to 2 mL O2/L or 91.4 mM). A number of factors result in hypoxia in aquatic environments, including natural phenomena such as vertical stratification resulting from the formation of thermoclines. However, hypoxia is often caused by excessive anthropogenic inputs of nutrients and organic matter into water bodies with poor circulation (Wu 2002).

Hypoxia and anoxia generally occur in near-bottom waters of coastal zones and estuaries, and are often associated with eutrophication, microbial respiration, and oxygen depletion (Diaz and Rosenberg 2008). In severe cases, such oxygen depletion may lead to 'dead zones’ where mass mortalities of benthic organisms occur. Nutrient runoff into aquatic environments can stimulate plant growth and lead to algal blooms (Justic et al. 1993). In such cases, the algae eventually die and are subject to oxidative decay by microorganisms, which results in the depletion of DO, which in turn can lead to hypoxia or dead zones in aquatic environments.

Hypoxic events affecting thousands of square kilometers of water have been reported worldwide, and some coastal areas (e.g., the Black Sea) have become permanently hypoxic. Indeed, hypoxia caused by eutrophication is now regarded as one of the most serious threats to coastal marine ecosystems (Goldberg 1995; McIntyre 1995). Mass mortality of invertebrates and fish, changes in ecosystem structure, altered migration and spawning patterns, reductions in habitat areas, increased susceptibility to predation, susceptibility to infections, and changes in food resources were reported to be associated with hypoxic waters worldwide (Naqvi et al. 2000; Zhang et al. 2009).

Oxygen levels in aquatic environments fluctuate daily, seasonally, and spatially. Hypoxia is a major environmental stress that marine animals must tolerate in order to survive, and a variety of behavioral, physiological, and biochemical mechanisms have evolved to enable survival under oxygen-depleted conditions. Vertebrates respond to hypoxia by increasing oxygen uptake, downregulating energy expenditure, and upregulating anaerobic pathways. Fish move to colder waters in response to aquatic hypoxia (Petersen and Steffensen 2003), where the fall in body temperature reduces energy metabolism. Given that oxygen is more soluble in colder water, this migration may also be associated with an increase in the oxygen content of water. A reduction in temperature also enhances oxygen uptake because of increased hemoglobin-oxygen affinity. However, sessile invertebrates including mussels and oysters are not mobile, and their molecular responses to hypoxia at the level of gene expression and enzyme activity modulation are not well understood.

Bivalves are among the most studied marine organisms because of their ecological roles and importance. The genus Mytilus is common among marine mollusks; members of this genus occur along a wide latitudinal range in both hemispheres and play significant roles in the ecology of benthic and pelagic communities (Venier et al. 2003; Aarab et al. 2011). Members of the genus have become model study organisms because of their economic value in shellfish farming (Gueguen et al. 2011) and their role as bioindicators (Moreira and Guilhermino 2005; Kayhan et al. 2007). Molecular studies showed that changes in gene expressions can explain specific cell responses in mollusks, as exemplified by the enhanced expression of metallothioneins following exposure of mussels to toxic metals (Geffard et al. 2005; Fasulo et al. 2008).

In a recent study, we reported differentially expressed genes (DEGs) and transcriptional changes in several DEGs in marine mussels in response to oxygen-depletion stress (Woo et al. 2011). In the present study, we investigated transcriptional changes of seven genes related to oxidative stress and representative antioxidant enzyme activities in a marine mussel exposed to hypoxia.

Methods

The mussel Mytilus galloprovincialis (6.0 to 6.5 cm) was collected in Jangmok Bay, Geoje, Republic of Korea (Figure 1) and acclimated in an aquaculture facility for a week in filtered seawater at 22°C with a salinity of 35 psu and a light/dark cycle of 14:10 h. The experimental groups were exposed to hypoxic stress (DO of 2 mg/L) for 24, 48, and 72 h, while the control groups were kept in natural seawater. The DO levels were controlled by a nitrogen flow unit (AquaController Pro Base Unit, Neptune, Shelton, CT, USA) as described Woo et al. (2011), and the DO level in each tank of water was maintained at a constant level until the end of the experiment.
Figure 1

Sampling site of mussels in the study (dot); squares denote the hypoxia breakout areas.

Catalase (CAT), glutathione S-transferase (GST), and superoxide dismutase (SOD) activities, and lipid peroxidation (LPO) levels were investigated in 24-, 48-, and 72-h exposure groups and were compared to the control group. Muscle was chosen as the target organ since it occupies most of the body and is involved in energy-consuming movements by bivalve mollusks. The tissue was homogenized using a tissue homogenator (Bioneer Corporation, Daejeon, Republic of Korea) in four volumes of 20 mM Tris buffer (pH 7.6), containing 1 mM EDTA, 0.5 M sucrose, 1 mM dithiothreitol, 0.15 M KCl, and 0.1 M PMSF. The homogenate was centrifuged at 9,000 × g for 30 min at 4°C, and the supernatant was stored at -80°C. The quantities of proteins were determined according to the Bradford (1979) method using the Coomassie blue reagent. The CAT activity was assayed by the method of Claiborne (1985). The reaction mixture consisted of 0.05 M phosphate buffer (pH 7.4), 0.019 M hydrogen peroxide (H2O2), and 10% phenazonium methosulfate (PMS) in a final volume of 3 mL. The change in absorbance was recorded at 240 nm. The CAT activity was calculated in terms of nanomoles of H2O2 consumed per minute per milligram of protein. The GST activity was determined by the Habig method with some modifications (Habig et al. 1974). The reaction mixture consisted of 0.1 M phosphate buffer (pH 7.4), 1 mM glutathione (GSH, Sigma, St. Louis, MO, USA), 1 mM 1-chloro-2,4-dinitrobenzene (CDNB, Sigma) and 10% PMS in a total volume of 2 mL. The change in absorbance at 25°C was recorded at 340 nm, and the enzyme activity was calculated as nanomoles of the CDNB conjugate formed per minute per milligram of protein using a molar extinction coefficient of 9.6 × 103/M · cm. The SOD activity was determined according to the method described by Kono (1978) with some modifications. The reaction mixture consisted of 0.725 mL Tris-buffer (50 mM, pH 8.3, Sigma), 0.1 mL nitroblue tetrazolium (NBT, 500 mM, Sigma), 0.1 mL of reduced nicotinamide adenine dinucleotide (NADH, 780 mM, Sigma), and different volumes (0.025, 0.050, 0.075, 0.1, and 0.050 mL) of PMS (Sigma). The change in absorbance was recorded at 560 nm. The activity was reported by its ability to inhibit 50% of the reduction of NBT, and the result is expressed as units per minute per milligram protein. LPO was determined according to the method described by Fatima et al. (2000) with some modifications. The tissue was homogenized in a chilled 0.1 M potassium chloride solution. The assay mixture contained 0.67% thiobarbituric acid (TBA, Sigma), 10% chilled trichloroacetic acid, and homogenate (10%) in a total volume of 3 mL. The LPO rate was expressed as nanomoles of TBA-reactive substances formed of tissue using a molar extinction coefficient of 1.56 × 105/M · cm.

The tissues from the mussels were dissected after exposure to hypoxia, and the total RNA was extracted as described by Woo et al. (2011). The changes in the expressions of oxidative stress-related genes (CAT, cytochrome P450, GST, metallothionein, SOD, cytochrome oxidase subunit 1 (COX-1), and NADH dehydrogenase subunit 2) in each independent hypoxia-exposure experiment were quantified using a real-time quantitative reverse transcription polymerase chain reaction (qRT-PCR) analysis as described by Woo et al. (2011). The primer sequences for each target gene are shown in Table 1. For the qRT-PCR analysis, the data were obtained from triplicate experiments. Group means were compared using a one-way analysis of variance followed by Duncan's test for multiple comparisons. A value of p < 0.05 indicated statistical significance.
Table 1

Primer sequences of oxidative stress-related genes for a quantitative RT-PCR in Mytilus galloprovincialis

Gene

Primer sequences

Accession number

Target size (bp)

act

For 5′-AAGGCCAACCGGGAGAAGATG-3′

AF157491

298

Rev 5′-GGTCAGCAATGCCAGGGAAC-3′

cat

For 5′-TGCTCTGGGATTTCATTAC-3′

AY743716

212

Rev 5′-CAGCACTCAGACATTTTATAC-3′

cyp4y1

For 5′-GAGGCTTCATTCACCAGTTC-3′

AF072855

212

Rev 5′-GAGTAAATGCAAAAGAGTCC-3′

gst

For 5′-AGAAAATTGGGTAGAAAACTGG-3′

AF527010

194

Rev 5′-CATTCTAACGTAAGCCCCTCTG-3′

Mt

For 5′-TACCCAGATACCACCCATACT-3′

AJ005456

188

Rev 5′-GAACATCCACAGCCACTTG-3′

sod

For 5′-AACAGTCGCTTTCAGTCAAC-3′

FM177867

214

Rev 5′-TACATTTCCCAGATCACCAAC-3′

cox1

For 5′-GTGTCTTCTTATGGGTCTG-3′

FJ890849

211

Rev 5′-GCTATAAACATGCTTTCTCC-3′

nad2

For 5′-TGGTGTTTTCCTCTACACTC-3′

FJ549901

210

Rev 5′-AGGGTCTTATTACCCGCACT-3′

Results

To determine the appropriate duration of exposure of mussels to hypoxia for the experiment, we performed a mortality test. Twelve mussels were exposed to 2 mg/L of DO for 10 days in a water tank, while a control group of mussels was maintained in natural seawater. No mortality was observed at 4 days of exposure in either the hypoxia treatment or the control. Approximately 60% of the mussels in the 2 mg/L DO treatment had died after 7 days, and a further 33% had died after 10 days (Figure 2).
Figure 2

Mortality by exposure period in Mytilus galloprovincialis exposed to hypoxia. The number of survivors is indicated on the Y-axis, and the exposure duration (days) is on the X-axis. Mortality was determined in triplicate experiments and is expressed as the mean ± SD (n = 12). Square, control group (8 mg/L dissolved oxygen (DO 8)); circle, DO 2 exposure group.

To determine the enzyme activities occurring under hypoxic conditions, sets of six mussels were exposed to 2 mg/L of DO for 24, 48, and 72 h. In each treatment, the CAT activity significantly decreased compared to that in the control group and was reduced to approximately 33% in mussels after 72 h of treatment (Figure 3a). Relative to the control mussels, the GST activity had increased by a factor of 2 in mussels after 24 h of treatment and by a factor of 2.7 after 48 h of treatment, but had declined by 60% after 72 h of treatment (Figure 3b). Following 72 h of hypoxia, no significant change in SOD activity was detected in any hypoxia treatment group, but the LPO levels increased in all mussels exposed to hypoxia (Figure 3c,d), with levels twofold higher following 24 and 48 h of exposure relative to the control group (p < 0.05).
Figure 3

Changes in enzyme activities in mussels exposed to hypoxia. Mussels were exposed to 2 mg/L dissolved oxygen (DO 2) for 24, 48, and 72 h. CAT, GST, and SOD activities, and LPO levels were measured. The relative enzyme activity is indicated on the Y-axis, and the exposure duration (h) is on the X-axis. (a) CAT activity changes in mussels exposed to hypoxia; (b) GST activity changes in mussels exposed to hypoxia; (c) SOD activity changes in mussels exposed to hypoxia; (d) LPO level changes in mussels exposed to hypoxia. Asterisk denotes significant difference from the control group (p < 0.05).

No significant changes in expressions of genes related to oxidative stress investigated in this study were detected following exposure to hypoxia, with the exception of the COX-1 and NADH dehydrogenase subunit 2 (nad2) genes (Figure 4). The transcription of CAT (cat), cytochrome P450 (cyp4y1), metallothionein (mt), and SOD (sod) showed similar expression patterns, with expressions slightly decreasing (by factors of 1.1 to 1.4) at 24 h of exposure, then recovering to the level of the control group. The transcription of GST (gst) was slightly upregulated (by a factor of 1.4) at 24 h, but thereafter decreased to a level similar to that of the control group. While the transcriptions of the cat, cyp4y1, mt, sod, and gst genes did not significantly change, the expressions of cox1 and nad2 were strongly downregulated in the mussels exposed to hypoxia for 24 and 48 h. The transcription of cox1 decreased by approximately an order of magnitude in mussels exposed to hypoxia for 24 h and by a factor of 2 in those exposed for 48 h, compared to the control group (p < 0.05). The transcription of nad2 was downregulated by approximately an order of magnitude in mussels exposed to hypoxia for 24 and 48 h (p < 0.05).
Figure 4

Changes in expressions of oxidative stress-related genes in Mytilus galloprovincialis with hypoxia exposure. Mussels were exposed to 2 mg/L dissolved oxygen (DO 2) for 24 and 48 h, and RNAs were extracted from muscle tissues. mRNA levels were evaluated by a real-time quantitative PCR, and results are expressed relative to actin expression levels. Each histogram represents the mean ± SD (n = 3). Asterisk indicates significant difference from each control group (p < 0.05).

Discussion

Hypoxia can result from several natural factors, including stratification of the water column but is often a consequence of pollution and eutrophication involving phytoplankton blooms. Photosynthesis by phytoplankton blooms increases DO saturation during the day, but their respiration during the night reduces DO saturation. Bays consisting of shallow semi-enclosed water bodies are particularly prone to reduced vertical mixing between water layers, thereby restricting the supply of oxygen from surface waters to more-saline bottom waters (Figure 1). When oxygen depletion progresses to hypoxia, fish kills may occur, and benthic invertebrates, including clams, may also perish.

The purpose of this study was to assess the biological responses of a sessile marine invertebrate to acute hypoxia and was particularly aimed at assessing responses at the molecular level. The genes involved in stress-defense mechanisms can be used as effective biomarkers of physiological changes in organisms that result from both endogenous and exogenous stressors. The levels of expressions of such genes can serve as a critical 'early warning system’ for assessing environmental and organismal health. In this study, the transcription levels of cat, cyp4y1, mt, sod, gst, cox1, and nad2 in M. galloprovincialis and the activities of representative enzymes related to oxidative stress were quantitatively compared between mussels exposed to hypoxia and control mussels under normoxic conditions.

The relative contribution of each antioxidant enzyme to protection against hypoxia-associated oxidative stress during periods of oxygen depletion is not well known, and the relationships among reactive oxygen species (ROS) levels, GSH levels, oxidative stress markers, and activities of antioxidant enzymes are complex. Our results showed that the activity of the SOD antioxidant enzyme remained unchanged, but the activities of CAT and GST significantly changed upon exposure to hypoxia. While the CAT activity decreased during hypoxia, the GST activity increased within 48 h of exposure, and their gene expressions showed similar patterns of change within 48 h. CAT is the major enzyme and primary antioxidant defense involved in H2O2 detoxification (catalyzing the conversion of H2O2 to water and oxygen), while GST catalyzes a variety of reactions that detoxify endogenous compounds, including peroxidized lipids (Das and Bishayi 2010; Turkanoglu et al. 2010). We found that both CAT activity and cat expression decreased with oxygen depletion. Although the transcriptional change in cat was not statistically significant, the trends of CAT activity and cat expression were identical. Interpreting the discrepancy between CAT activity and cat messenger RNA (mRNA) levels may be possible by measuring the changes in protein levels using an antibody specific for the CAT protein. The animals with depleted CAT activity could be subject to severe hypoxia followed by reoxygenation (Welker et al. 2012). Hypoxia did not induce changes in the SOD activity or sod transcription in our study, but increased activities of GST and LPO were detected in mussels exposed to hypoxia. This suggests that the hypoxia-induced reduction in CAT activity caused a redox imbalance, which was sufficient to induce further oxidative stress that led to increased activities of GST and LPO in mussels.

Oxygen is the ultimate electron acceptor for mitochondrial respiration in a process catalyzed by COX. In mammals, the oxygen concentration regulates gene transcription of COX subunits (Roemgens et al. 2011). Oxygen is also required for aerobic energy metabolism processes including oxidative phosphorylation. Low-oxygen conditions activate the hypoxia signaling pathway in eukaryotic cells, primarily through the hypoxia-inducible transcription factor (HIF) (Fu et al. 2008). We did not investigate the changes in the HIF gene expression, but the low oxygen concentration affected cox1 and nad2 transcription, and both genes were significantly downregulated in mussels exposed to hypoxia. Similar results were reported in a gene-expression study involving the grass shrimp Palaemonetes pugio exposed to hypoxia, where the transcription of cox1 was downregulated at 12-h post exposure (Li and Brouwer 2009). In addition, the levels of cox1 transcription and COX activity decreased in the insects Epiblema scudderiana and Eurosta solidaginis in response to hypoxia (McMullen and Storey 2008). It therefore appears that the decrease in cox1 transcription results in decreased mitochondrial COX protein synthesis, suggesting that mitochondrial genes and proteins are promising molecular indicators of exposure to hypoxia.

The NADH dehydrogenase 1α subcomplex is a respiratory chain enzyme that catalyzes the transfer of two electrons from NADH to ubiquinone in a reaction associated with proton translocation across the membrane and one of the HIF-1 target genes (Tello et al. 2011). It was reported that high levels of ROS and high metabolic activity are involved in inducing the expression of the NADH dehydrogenase 1α subcomplex gene (Masuo et al. 2010; Bruckbauer and Zemel 2011). We found that a low oxygen concentration reduced nad2 transcription in mussels, and the expression of the gene was downregulated by approximately an order of magnitude relative to the control group. NADH dehydrogenase is the first and largest enzyme complex in the mitochondrial oxygen respiration chain. It is noteworthy that the NADH dehydrogenase complex is considered important in the adaptive evolution of the mammalian mitochondrial genome (da Fonseca et al. 2008). In animals living at high elevations and in low-oxygen environments, the NADH dehydrogenase complex was found to be under positive selection in residue substitutions (Yu et al. 2011). This was thought to interfere with metabolic performance (Hassanin et al. 2009). In this study, we only investigated nad2 gene expression in mussels responding to hypoxia. In addition to investigating the transcriptional regulation of the NADH dehydrogenase complex, characterizing the substitutions in the NADH dehydrogenase complex and adaptations to oxygen respiration in mussels appears to be an important area for further study concerning animal responses to hypoxia associated with ocean warming. Unlike fish, which can move to colder waters in response to hypoxia and thus decrease their body temperature to reduce energy metabolism, sessile invertebrates including mussels cannot move in response to hypoxia and must use alternative strategies such as downregulation of energy expenditure or reoxygenation.

The greatest difficulty in assessing environmental stresses like oxygen depletion is that visible responses to external stimuli can be determined when organisms are exposed to high stress levels. In addition, assessing physiological, behavioral, or ecological changes induced by environmental stresses tends to require long-term observations. However, the approach using changes in gene expressions allows the detection of biological responses at low stress levels and downstream biological interpretation. The genes investigated in this study are known to play roles in detoxification and are crucial factors in determining the sensitivity of cells to various toxic chemicals, including environmental pollutants and products of oxidative stress. The data suggest that changes in gene expression do not always correspond with enzyme activities. This can be explained by biological responses like gene expression changes appearing in the initial stage after exposure to environmental stresses and their triggering subsequent signals like protein expression or activity changes depending on the intensity of the stimuli. Although changes in protein amounts or enzyme activities were not found after the environmental stimuli, external stresses definitely affect intracellular processes of organisms involved in survival and adaptation, and the effects appear as downstream responses.

Conclusions

The results demonstrate that acute hypoxia affects the activities of antioxidant enzymes and expressions of genes related to oxidative stress, and thus suggest that changes in transcription levels of oxidative-stress genes are a potential indicator of oxygen depletion conditions in M. galloprovincialis. In this study, we carried out lab-scale experiments using mussels, and further studies using experimental mesocosms (Molina et al. 2012) could help interpret detailed responses to environmental stresses and interactions with other organisms.

Declarations

Acknowledgements

This study was supported by KIOST project nos. PE98928 and PMS258B.

Authors’ Affiliations

(1)
South Sea Environment Research Department, Korea Institute of Ocean Science and Technology
(2)
Biodiversity Research Center, Academia Sinica
(3)
Ballast Water Center, Korea Institute of Ocean Science and Technology

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© Woo et al.; licensee Springer. 2013

This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.