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. 2022 Jun 15;11(6):1178. doi: 10.3390/antiox11061178

Gender-Specific Metabolic Responses of Crassostrea hongkongensis to Infection with Vibrio harveyi and Lipopolysaccharide

Lijuan Ma 1,2, Jie Lu 1,*, Tuo Yao 1, Lingtong Ye 3, Jiangyong Wang 4,*
Editor: Erchao Li
PMCID: PMC9220117  PMID: 35740075

Abstract

Gender differences in the hemocyte immune response of Hong Kong oyster Crassostrea hongkongensis to Vibrio harveyi and lipopolysaccharide (LPS) infection exist. To determine if a gender difference also exists, we use a 1H NMR-based metabolomics method to investigate responses in C. hongkongensis hepatopancreas tissues to V. harveyi and LPS infection. Both infections induced pronounced gender- and immune-specific metabolic responses in hepatopancreas tissues. Responses are mainly presented in changes in substances involved in energy metabolism (decreased glucose, ATP, and AMP in males and increased ATP and AMP in LPS-infected females), oxidative stress (decreased glutathione in males and decreased tryptophan and phenylalanine and increased choline and proline in LPS-infected females), tricarboxylic acid (TCA) cycle (decreased α-ketoglutarate acid and increased fumarate in LPS-infected males, and decreased fumarate in LPS-infected females), and osmotic regulation (decreased trigonelline and increased taurine in V. harveyi-infected males and decreased betaine in V. harveyi-infected females). Results suggest that post-spawning-phase male oysters have a more significant energy metabolic response and greater ability to cope with oxidative stress than female oysters. We propose that the impact of oyster gender should be taken into consideration in the aftermath of oyster farming or oyster disease in natural seas.

Keywords: Crassostrea hongkongensis, metabolomics, hepatopancreas, gender-based difference

1. Introduction

Crassostrea hongkongensis is the most important, commercially valuable cultured oyster species along the South China coast [1,2]. In recent years, the commercial production of this species has been seriously affected by mass mortality during the boreal spring, possibly caused by pathogen infection and environmental stress [3,4]. Therefore, understanding the mechanisms by which oysters respond to different stresses will improve disease control in farmed populations. The genes ChBeclin-1 [5], ChUbL40 [6], ChAkt1 [7], ChDFFA [8], and p38 MAPKs [9] play important roles in the immune defense of C. hongkongensis against bacterial challenge. The assembled whole genome sequences of C. hongkongensis have recently been released [1]. Several immune-, reproduction-, and stress-related genes have been identified [10], providing the resources and opportunity of in-depth studies at the molecular level. Moreover, metabolomics has revealed that exposure to copper can disturb osmotic regulation and energy metabolism [11]. Proteomic methods to analyze differentially expressed proteins in oyster gills exposed to long-term heavy metal pollution have also revealed most stress and immune-reactive proteins, such as heat shock proteins (HSP) and enzymes, to be significantly down-regulated [12].

Development of metabolomic techniques in aquaculture has led to more thorough investigations of shellfish immunology. Physiological and stress responses of bivalves have now been characterized using a variety of metabolomics platforms [13]. Nuclear magnetic resonance (NMR)-based metabolomics is a powerful high-throughput technique that simultaneously detects endogenous compounds representative of a biological state. The low incremental cost and short data collection time of these analyses enable robust experimental design characterized by high reproducibility and ease of sample preparation and measurement proceedings, and also allows for quantitative analysis and in vivo metabolomics studies [14,15,16]. NMR-based metabolomics has been used to express bivalve responses to external disturbance, such as from pathogenic bacteria [17], estrogenic mixtures [18], hepatotoxic microcystins [19], ammonia nitrogen exposure [20], and high ρCO2 levels [21]. Proton (1H) NMR-based metabolomics has identified osmotic regulation and energy metabolism in C. hongkongensis to be disturbed following exposure to Cu, Zn, Pb, and other metals [22,23]. These diverse applications in bivalves suggest that NMR-based metabolomics is a powerful tool for assessing the metabolic response mechanism of stressed bivalves in general, and C. hongkongensis in particular.

Differences in the immunological responses of C. hongkongensis males and females have seldom been taken into consideration [7,9]. Vibrio harveyi is a pathogenic bacterium isolated in our laboratory, which can cause severe vibriosis in C. hongkongensis. Lipopolysaccharide (LPS) is a cell wall component of Gram-negative bacteria, and injection of LPS triggers a host immune response [24]. We previously reported gender-related differences in immune responses to LPS and V. harveyi in hemocyte of C. hongkongensis [25]. Herein we use 1H NMR-based metabolomics techniques to examine metabolic changes in hepatopancreas tissues of female and male C. hongkongensis following infection with V. harveyi and LPS. Our objectives are to identify gender-specific metabolic responses in this oyster following infection and to identify potential new biomarkers for evaluating its health.

2. Materials and Methods

2.1. Animals and Experimental Design

Healthy post-spawning C. hongkongensis (shell length 11.23 ± 0.06 cm) were obtained from a commercial farm in Taishan, Jiangmen, Guangdong Province, China. Oysters were acclimated for 7 days in aerated sand-filtered seawater at 25 °C, salinity 20 ± 1, and pH 8.1 ± 0.1, and regularly fed the algae Isochrysis galbana and Chaetoceros muelleri at a ration of 2% of tissue per dry twice daily, namely at 08:00 and 16:00. A photoperiod of 12 h light/12 h dark was applied. Low salinity water is prepared by diluting seawater with tap water and used after 2 days of aeration. No mortality occurred during the period of acclimation. After acclimation, oysters were randomly divided into 3 treatments (control, V. harveyi, LPS), each with 3 replicates, each replicate containing 20 oysters, in glass aquaria (48 × 28 × 21 cm) with 30 L filtered seawater, in a completely randomized design.

2.2. Challenge Experiment

The bacterium V. harveyi was cultivated in liquid 2216E broth at 28 °C for 14 h and centrifuged at 5000× g for 10 min. This bacterium was washed twice in sterile seawater before being suspended in sterile seawater at a final concentration of approximately 1 × 107 CFU/mL. LPS (from Escherichia coli O111: B4, Sigma-Aldrich, St. Louis, MO, USA) was dissolved in sterile seawater to a concentration of 0.5 mg/mL [25]. Control group oysters were injected with 50 μL sterile aquaculture seawater and the experimental treatment oysters were injected with either 50 μL V. harveyi suspension or LPS solution. After 48 h exposure, oyster gender was determined and the oyster hepatopancreas was extracted, snap-frozen in liquid nitrogen, and stored at −80 °C for subsequent metabolite extraction. Gender was determined by light-microscopic examination of mature gonad tissue: large eggs indicated female and motile sperm male.

2.3. Metabolite Extraction

Using a water/methanol method, polar metabolites were extracted from hepatopancreas tissues. In brief, 100 mg of hepatopancreas tissue and 1 mL of methanol and water (2:1) were added into a 2 mL centrifuge tube. The mixture was crushed by shaking in a sample freezing grinding machine (Luka, Guangzhou), followed by centrifugation (10 min, 12,000× g, 4 °C) and dried in a vacuum centrifugal concentrator. Tissue extracts were resuspended in 600 μL of phosphate buffer in D2O, then vortexed and centrifuged (5 min, 3000× g, 4 °C). The supernatant (500 μL) was transferred to a 5 mm NMR tube and analyzed by NMR [26]. One-dimensional 1H NMR spectra of all samples were obtained at 298K using the 1D NOESYGPPRLD pulse on the Bruker Avance III 600 MHz spectrometer, with 128 scans and a 4 s acquisition time.

2.4. Spectral Processing and Statistical Analyses

NMRProcFlow 1.3.10 (INRA UMR 1332 BFP, Bordeaux Metabolomics Facility, Villenave d’Ornon, France) [27] was used to perform PPM calibration, baseline correction, alignment, spectra bucketing, and data normalization of raw 1H NMR spectra. The DSS internal standard was taken as the chemical shift reference peak (DSS = 0.0 ppm), and the spectral images within 0.66–10 ppm were integrated to remove the chemical shift region where the water peak was located (4.67–4.86 ppm). PQN (Probabilistic Quotient Normalization) was selected for normalization. NMR spectra were preprocessed using adaptive intelligent bucketing, with buckets with a signal-to-noise ratio > 3 chosen for further investigation. The end result is a 599-bucket matrix. To increase the weight of low-intensity peaks, all NMR spectra were logarithmically transformed before multivariate statistical analysis.

SIMCA 14.1 software (Umetrics, Umeå, Sweden) was used to analyze NMR spectrum datasets. Intrinsic metabolic trends and differential metabolites of V. harveyi or LPS exposure were determined using principal component analysis, partial least squares discriminant analysis (PLS-DA), and orthogonal partial least squares discriminant analysis (OPLS-DA). In addition, 200 permutation tests and cross-validation analysis of variance (CV-ANOVA) were used to confirm the significance of the OPLS-DA model. Differential buckets with variable importance in the projection > 1.0 determined by OPLS-DA, and p-values < 0.05 determined by two-tailed Student’s t-tests were identified. Chenomx NMR Suite 8.6 professional software (Chenomx Inc., Edmonton, AB, Canada) was used to analyze the chemical shift of buckets to complete identification of main metabolites.

2.5. Systematic Statistical Metabolic Correlation and Network Analysis

The transformations and sequential chemical reactions of substrates and products involved in diverse catabolic and anabolic processes are described by metabolic pathways [28]. We screened out different metabolites and performed metabolic pathway analysis from KEGG database analysis by MetaboAnalyst 5.0 website [29], and to all the identification of the metabolites of clustering. We used the R software package to identify the KEGG pathways of enriched metabolites in different treatments and to draw correlation heat maps between metabolites and immune-related factors.

3. Results

3.1. Hepatopancreas 1H NMR Spectra

NMR spectra identified 49 different metabolites (Figure 1), including energy metabolism-related metabolites (e.g., glucose, glycogen, ATP, AMP), amino acids (e.g., tryptophan, arginine, phenylalanine, proline, tyrosine) and organic osmolytes (e.g., betaine, taurine, trigonelline). The hepatopancreas 1H NMR profile was dominated largely by betaine and taurine, as previously reported for oysters [30,31].

Figure 1.

Figure 1

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1H NMR spectra of Crassostrea hongkongensis hepatopancreas extract under infected (control) condition, with spectral regions 0.0–4.8 ppm amplified by a factor of 4, and 4.8–9.9 ppm by 10. Key: Ace, acetate; Ade, adenine; Ads, adenosine; Ala, alanine; AMP, adenosine monophosphate; Ara, arabinose; Arg, arginine; Asn, asparagine; Asp, aspartate; ATP, adenosine triphosphate; Bet, betaine; Chl, chlorogenate; Cho, choline; Cyt, cytosine; DSS, dextran sulfate sodium; Fum, fumarate; Glc, glucose; Glc-1-p, glucose-1-phosphate; Glu, glutamate; Glucur, glucuronate; Gly, glycine; GSH, glutathione; GTP, guanosine triphosphate; Guo, guanosine; Hom, homarine; Hyd, hydroxyacetone; Ile, isoleucine; Ino, inosine; Leu, leucine; Lys, lysine; Mal, malonate; Met, methionine; N-Ace, N-acetylornithine; Orn, ornithine; Pan, pantothenate; Phe, phenylalanine; Pro, proline; Pyr, pyridoxine; Rib, ribose; Ribo, riboflavin; Sar, sarcosine; Tau, taurine; TMA, trimethylamine; TGL, trigonelline; Tre, trehalose; Try, tryptophan; Tyr, tyrosine; UDP-Glc, UDP-glucose; UDP-N-Ace, UDP-N-acetylglucosamine; UMP, uridine monophosphate; Ura, uracil; Urd, uridine; Val, valine; 3-Ami, 3-aminoisobutyrate; α-Ket, α-ketoglutarate acid; β-Ala, β-alanine.

3.2. Multivariate Data Analyses

To identify metabolic differences between the control and two treatments, and between males and females, PLS-DA analysis was first performed. Treatments were well separated (Figure 2A). To analyze metabolic differences between gender, OPLS-DA was performed on NMR spectral data of males and females from all groups; a clear separation between male and female groups with reliable Q2 values, both with p values < 0.003 calculated using CV-ANOVA (Figure 2B). We conducted 200 iterations of permutation tests to assess if models were over-fitted to demonstrate that the OPLS-DA model was reliable. Inherent biological and metabolic differences appear to exist between genders.

Figure 2.

Figure 2

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Multivariate statistical analysis plot based on 1H NMR spectra of C. hongkongensis hepatopancreas tissues. (A) PLS-DA plots for all treatments; (B) OPLS-DA score plots of male and female oysters (R2X = 68.8%, R2Y = 0.927, Q2 = 0.565, p < 0.003); (C) permutation test for the model in (B). Groups: F, female; M, male; C, control; B, Vibrio harveyi infection; L, LPS infection.

OPLS-DA score plots (left panels in Figure 3) show good separation between infected treatments and the corresponding control group for males and females. As shown in volcano maps (right panels in Figure 3) and heatmaps (Figure S1), compared with the control group, 19 metabolites were down-regulated and 1 metabolite was up-regulated in V. harveyi-infected females. In LPS-infected females, 14 metabolites were down-regulated and 20 metabolites were up-regulated. In V. harveyi-infected males, 12 metabolites were down-regulated and 16 metabolites were up-regulated, while in LPS-infected males, 15 metabolites were down-regulated and 16 metabolites were up-regulated. Table S1 provide details of these metabolites.

Figure 3.

Figure 3

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OPLS-DA score plots of 1H NMR spectra of C. hongkongensis hepatopancreas extract from different paired groups (left panel) and the corresponding model permutation test chart (middle panel) and its corresponding volcano map (right panel). (A) F_B vs F_C. (B) M_B vs M_C. (C) F_L vs F_C. (D) M_C vs M_L. Groups: F, female; M, male; C, control; B, V. harveyi infection; L, LPS infection.

To further analyze changes in differential metabolites in C. hongkongensis in different treatments, an Upset diagram was prepared using R language (Figure 4). Compared with control group females, different metabolites increased in female oysters in the two treatments, but the V. harveyi treatment had 1 specific increased metabolite, and the LPS group had 15 specific increased metabolites. However, six metabolites were down-regulated in both treatments, while eight metabolites were up-regulated in the V. harveyi treatment and five metabolites were down-regulated in the LPS treatment. Compared with the control group male oysters, in the V. harveyi treatment eight metabolites were commonly elevated in male oysters, with three particularly elevated, and three were particularly elevated in LPS treatment male oysters. Six metabolites were commonly down-regulated in both treatments, while the V. harveyi treatment had no particularly decreased metabolite, and the LPS treatment had one. These metabolites, which are only up- or down-regulated in females or males, suggest that oyster responses to either infection is gender specific. Additionally, different infections in the same gender oysters can lead to different metabolite changes, indicating that oysters are immune-specific for different stresses.

Figure 4.

Figure 4

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Upset diagram of C. hongkongensis hepatopancreas extracts from different paired groups. Increased metabolites (A), decreased metabolites (B). Groups: F, female; M, male; C, control; B, V. harveyi infection; L, LPS infection.

KEGG enrichment metabolic pathways prepared by R language clearly differ between male and female oysters (Figure 5). For example, differential metabolites in females occurred mainly in D-glutamine and D-glutamate metabolism, aminoacyl-tRNA biosynthesis and phenylalanine, and tyrosine and tryptophan biosynthesis, while males do not have these enrichment pathways. Additionally, metabolic pathways enriched by either infection in females also differ. For example, differential metabolites in oysters infected with V. harveyi were enriched with phenylalanine, tyrosine, and tryptophan biosynthesis and arginine and proline metabolism, while those infected with LPS were enriched with pentose and glucuronate interconversions and galactose metabolism. Based on KEGG pathway analysis, we summarize the different metabolic pathways of oyster infection in hepatopancreas tissues, mainly involving arginine biosynthesis, energy metabolism, glutathione metabolism, and other metabolic pathways (Figure 6).

Figure 5.

Figure 5

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KEGG function analysis based on the differential metabolites from different paired groups. Pathways with p values < 0.05 are shown. Groups: F, female; M, male; C, control; B, V. harveyi infection; L, LPS infection.

Figure 6.

Figure 6

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Molecular mechanism of the hepatopancreas response in male and female C. hongkongensis to V. harveyi and LPS infection according to KEGG. Blue (down-regulated), red (up-regulated), and white (unchanged) boxes reveal changes in levels of differential metabolites compared to controls; ellipses with different background colors indicate different interconnecting pathways. Groups: F, female; M, male; C, control; B, V. harveyi infection; L, LPS infection.

A correlation network diagram (Figure 7) was used to represent Spearman’s correlation coefficients between hemocyte immunological parameters and different metabolites. Changes in immunological parameters of granulocytes, including ROS and calcium levels, lysosome and mitochondrial masses, and early apoptotic, NO, phagocytic, and late apoptotic or necrotic ratios of total hemocytes in C. hongkongensis during immune stress, have been reported earlier [25]. Significant correlations between parameters may indicate an equilibrium or that immune stimulation in oysters simultaneously modulates parameters. Correlation analysis reveals glucose, AMP, and ATP to be positively correlated, as are proline and choline, and for phenylalanine and tyrosine to be positively correlated with ROS.

Figure 7.

Figure 7

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Differential metabolites and immune factors correlated by Spearman’s correlation analysis. A color gradient denoting Spearman’s correlation coefficient is shown for pairwise comparisons of metabolites. Spearman’s correlation coefficients are depicted using line size and line color denotes statistical significance. Lines: dashed, positive correlation; solid, negative connection. Apo, apoptotic ratio; Ca, calcium content; Est, esterase activity; Lyso, lysosome mass; Mito, mitochondrial mass; Mor, mortality; NO, nitric oxide level; Pha, phagocytic ratio; ROS, reactive oxygen species level. *** p < 0.001, ** p < 0.01, * p < 0.05.

4. Discussion

Gender-specific differences in physiological response mechanisms are reported for several aquatic invertebrates when exposed to environmental stress. Using NMR-based metabolomics, gender differences have been reported for the mussel Mytilus edulis exposed to lower pH, higher temperature and pathogens in seawater [32], and for metabolic responses in gonads of Perna viridis to triazophos [33]. We previously reported gender-specific immunological responses in oyster hemocytes following exposure to V. harveyi and LPS. Herein, through analysis of OPLS-DA score plots (Figure 2B), we report gender differences in oysters in metabolic responses to two infections.

LPS and V. harveyi infection can produce ROS in female oysters [25]. Cell damage occurs when the level of ROS exceeds a cell’s ability to scavenge them, eventually leading to DNA oxidative damage and abnormal protein expression, inducing inflammation and oxidative stress. We herein report proline and choline to be positively correlated, and to significantly increase after LPS infection in females. Antioxidant enzyme activity and antioxidant content are correlated with proline, and by regulating proline metabolism, damage caused by stress can be alleviated [34]. Therefore, we believe that the high expression of proline in females relieves oxidative stress induced by LPS, protecting the oysters, and that the manner of adjustment is gender specific. As components of phospholipids, choline and phosphocholine play important roles in maintaining cell membrane integrity [35]. Therefore, an increase in female oyster hepatopancreas-tissue choline levels following LPS infection indicates that the hepatopancreas membrane is damaged by excessive ROS. In contrast, these metabolites did not change in male oysters after infection, suggesting that male oysters are more capable of coping with V. harveyi and LPS stress and maintaining a relatively normal metabolism. Glutathione is an important metabolite that maintains cellular redox balance [36,37] that can be used to enhance antioxidant enzyme activity and antioxidative stress capacity. Glutathione plays a vital role in cellular proliferation, maintaining intracellular redox homeostasis and protecting against oxidative damage [38,39]. In male oysters, glutathione levels decreased with V. harveyi and LPS infection, indicating that they mobilized more glutathione to regulate ROS levels after infection, providing further evidence that males are more capable of coping with oxidative stress.

We report phenylalanine and tryptophan levels in female oysters to decrease in both infections, and tyrosine levels following V. harveyi infection in female oysters to be down-regulated and in males up-regulated. Oysters are infected, with changes in aromatic amino acids being gender specific. Additionally, we report phenylalanine and tyrosine to be positively correlated with ROS. Because phenylalanine inhibits ROS-induced oxidative damage in gills of grass carp [40], we speculate that decreased phenylalanine reduces the oxidative damage of high ROS levels in female oysters, further supporting the notion that males have a stronger defense mechanism against oxidative stress than females.

In male oysters, metabolites involved in energy metabolism, glucose-1-phosphate, were up-regulated, and glucose, ATP, and AMP were down-regulated in both infections compared with control treatment levels. A decrease in glucose means that male oysters require more energy to resist infection, which will accelerate the hydrolysis of glucose within the body, and generate ATP through the glycolysis pathway and TCA cycle. The process of ATP generation is consistent with this research [41]. Coincidentally, correlation analysis revealed glucose, AMP, and ATP levels to be positively correlated. In female oysters, an increase in ATP, glucose-1-phosphate, and AMP and a decrease in glucose and glycogen occurred following LPS infection. After LPS infection, down-regulation of glucose and glycogen levels promoted the up-regulation of ATP levels. Because the breakdown of glucose and glycogen produces ATP to provide energy to fight infection, but the ATP produced is insufficient to support resistance to LPS infection, the breakdown of glycogen produces glucose-1-phosphate to provide energy. Because none of these metabolites changed after female oysters were infected with V. harveyi, females may use different energy metabolism strategies in response to different infections in a manner similar to how the hepatopancreas of the clam Ruditapes philippinarum regulates V. anguillarum and V. splendidus infections using different energy metabolism mechanisms [26]. Collectively, for the same infection conditions, male and female oysters have different energy metabolism mechanisms, indicating that their post-infection energy metabolism mechanism is gender specific. When challenged with V. harveyi, male and female Mytilus galloprovincialis mussels also induced different energy metabolic responses [42]. For both V. harveyi and LPS infections, metabolites involved in energy metabolism such as glucose, ATP, glucose-1-phosphate, and AMP in male oysters changed significantly, while metabolite glucose, ATP, glucose-1-phosphate, AMP, and glycogen in females only changed after LPS infection. This indicates that gender- and immune-specific energy metabolic responses were induced in C. hongkongensis and suggests that male oysters have a high antioxidant capacity because most of their energy is used to fight ROS caused by infection.

The TCA cycle is the primary catabolic pathway for energy production. An increase in intermediates in the TCA cycle has been reported in marine bivalves exposed to pathogens [13]. Conversely, the disruption of the TCA cycle shifts energy pathways from aerobic to anaerobic metabolism [43]. For invertebrates, anaerobic metabolism produces high levels of alanine and succinic acid as end products [44]. We found no increase in either succinic acid or alanine in oysters exposed to V. harveyi or LPS, suggesting that a shift from aerobic to anaerobic metabolism did not occur. However, fumarate, an intermediate substance of the TCA cycle, decreased in LPS-infected females and increased in V. harveyi-infected males, and levels of α-ketoglutarate acid decreased in males in both infections. This indicates that the TCA cycle pathway of oysters in both infections is also gender specific.

Organic osmotic substances (including betaine, trigonelline, and taurine), major components of water-soluble metabolites that often play crucial roles in osmotic regulation of marine mollusks are affected by external influences [45]. Amino acids are involved in marine mollusk osmotic regulation [46]. In male oysters, taurine levels were up-regulated in the V. harveyi treatment, while levels of trigonelline and aspartate decreased in both infection treatments. In females, betaine and arginine levels were down-regulated in both infection treatments. In oysters, the depletion of betaine and trigonelline indicates that V. harveyi and LPS had disturbed osmotic regulation, as did a decrease in most amino acid levels. Increased taurine may compensate for lost betaine and trigonelline. A similar metabolic response occurred when V. harveyi attacked the hepatopancreas of female M. galloprovincialis mussels [42]. Accordingly, gender-specific responses to both infections in the oyster hepatopancreas are confirmed by differences in changes in their organic osmotic substances and amino acids.

5. Conclusions

The metabolic response of the C. hongkongensis hepatopancreas to V. harveyi and LPS infection was examined using 1H NMR-based metabolomic methods. We conclude that the infection of V. harveyi and LPS caused gender- and immune-specific effects on oxidative stress, energy metabolism, the TCA cycle, and in osmotic regulation. The antioxidant capacity of male oysters was stronger than that of females. Overall, in terms of energy metabolism, ATP, AMP, and glucose decreased in males, while ATP and AMP increased in LPS-infected females. In terms of oxidative stress, glutathione decreased in males, and phenylalanine and tryptophan decreased in females, while proline and choline also increased in LPS-infected females. In terms of the TCA cycle, α-ketoglutarate acid decreased in males, and fumarate decreased in LPS-infected females and increased in LPS-infected males. In terms of osmotic regulation, trigonelline decreased in males, taurine increased in V. harveyi-infected males, and betaine decreased n V. harveyi-infected females. These findings help explain the response mechanisms of different oyster genders to immune stimulation and provide a reference for stress research in marine animals.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/antiox11061178/s1, Figure S1: Heat map analysis of changes in metabolites of hepatopancreas tissues in male and female oysters under Vibrio harveyi and LPS infection compared to control groups; Table S1: Summary of metabolic changes of oyster hepatopancreas caused by infection with Vibrio harveyi or LPS in different sexes.

Click here for additional data file. (285.7KB, zip)

Author Contributions

Formal analysis, writing—original draft and writing—review and editing, L.M.; formal analysis, experimental design, ideas and writing—review and editing, J.L.; experiment and obtained data, T.Y.; investigation and writing—review and editing, L.Y.; ideas, resources and writing—review and editing, J.W. All authors have read and agreed to the published version of the manuscript.

Institutional Review Board Statement

The animal study protocol was approved by the Committee on Laboratory Animal Welfare and Ethics of South China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences (No. nhdf2022-05).

Informed Consent Statement

Not applicable.

Data Availability Statement

All data underlying this article are available in the main publication and in its Supplementary Material online.

Conflicts of Interest

The authors declared no conflict of interest.

Funding Statement

This research was funded by the China Agriculture Research System of MOF and MARA, Central Public-interest Scientific Institution Basal Research Fund, South China Sea Fisheries Research Institute, CAFS (NO.2022XK02, 2017YB22, 2020TD42, and 2021SD05), Guangdong Basic and Applied Basic Research Foundation (2021A1515110132), Fund of Key Laboratory of Aquatic Product Processing, Ministry of Agriculture and Rural Affairs, China (NYJG202106), funded by Engineering Research Center for Tropical and Subtropical Aquatic Ecological Engineering, Ministry of Education, Jinan University, China (No. 2021A0301), the Shellfish and Large Algae Industry Innovation Team Project of Guangdong Province (2021KJ146), and the Professional and Doctoral Scientific Research Foundation of Huizhou University.

Footnotes

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