Aquaculture Industry Research Articles

Feature fusion of body surface and motion-based instance segmentation for high-density fish in industrial aquaculture

Feature fusion of body surface and motion-based instance segmentation for high-density fish in industrial aquaculture

Initial analysis of profiles from Pseudovibrio denitrificans and Vibrio parahaemolyticus antagonism by LC-MS-based metabolomics

Research on bioprospecting bioactive secondary metabolites from marine bacteria has rapidly expanded in the past few decades. The complexity of the environment in which bacterial communities live involves complex interactions with other communities competing for resources for survival. Previously, the ability of Pseudovibrio denitrificans has been demonstrated to inhibit the growth and virulence of different patho-gens such as Vibrio parahaemolyticus. The antagonism of these bacteria has been studied, considering the latter's importance in producing farmed shrimp. The molecules produced by P. denitrificans may be fun-damental for its antibacterial effect. In the present work, we examine LC/MS profiles of the interaction under two different circumstances: direct and delayed antagonism. The results show marked differences in the chemical composition between both interactions and the tentative identification of antibacterial and antibiofilm compounds. The observed profile could be part of P. denitrificans chemical arsenal to halt V. parahaemolyticus growing. The presented data is relevant to designing future studies on bacterial antago-nism with relevant implications for the aquaculture industry. Keywords: vibriosis, probiotics, chemometrics, white shrimp.

Initial analysis of profiles from Pseudovibrio denitrificans and Vibrio parahaemolyticus antagonism by LC-MS-based metabolomics

Research on bioprospecting bioactive secondary metabolites from marine bacteria has rapidly expanded in the past few decades. The complexity of the environment in which bacterial communities live involves complex interactions with other communities competing for resources for survival. Previously, the ability of Pseudovibrio denitrificans has been demonstrated to inhibit the growth and virulence of different pathogens such as Vibrio parahaemolyticus. The antagonism of these bacteria has been studied, considering the latter's importance in producing farmed shrimp. The molecules produced by P. denitrificans may be fundamental for its antibacterial effect. In the present work, we examine LC/MS profiles of the interaction under two different circumstances: direct and delayed antagonism. The results show marked differences in the chemical composition between both interactions and the tentative identification of antibacterial and antibiofilm compounds. The observed profile could be part of P. denitrificans chemical arsenal to halt V. parahaemolyticus growing. The presented data is relevant to designing future studies on bacterial antagonism with relevant implications for the aquaculture industry. Keywords: vibriosis, probiotics, chemometrics, white shrimp.

Whole-genome resequencing of grass carp (Ctenopharyngodon idella) for genome-wide association study on GCRV resistance

Grass carp (Ctenopharyngodon idella) is a highly productive freshwater fish species that annually contributes significant economic value to the aquaculture industry. However, its production is frequently affected by grass carp haemorrhagic disease (GCHD), which is caused by grass carp reovirus (GCRV). To elucidate the molecular mechanism of GCRV resistance in C. idella, whole-genome resequencing of both susceptible and resistant C. idella was conducted, yielding a total of 3,941,776 high quality single nucleotide polymorphisms (SNPs). A genome-wide association study (GWAS) then identified five significant SNPs, located on chromosomes 2, 3, 5, 6 and 10, associated with the trait of GCRV resistance. An integrative analysis of the GWAS and a previous transcriptome study was performed, and five common genes were identified, including b4galt2 (β-1,4-galactosyltransferase 2), kif2c (Kinesin family member 2C), jmjd8 (JmjC domain containing 8), selenom (Selenoprotein M), and znfx1 (Zinc finger NFX1-type containing 1). This study serves as a valuable basis for implementing marker-assisted selection (MAS) to improve GCRV resistance in C. idella breeding programs, and provides insight into developing methods to control the spread of GCHD.

An analysis combining proteomics and transcriptomics revealed a regulation target of sea cucumber autolysis

Sea cucumber is a valuable seafood product and autolysis is the main concern for the aquaculture industry. This study employed proteomics and transcriptomics to investigate the autolysis mechanism of sea cucumbers. The fresh sea cucumber was exposed to UV light to induce autolysis. The body wall samples were cut off to analyze by proteomics and transcriptomics. The angiotensin-converting enzyme (ACE) inhibitor of teprotide and the activator of imatinib were gastric gavage to live sea cucumbers, respectively, to identify the regulation target. Autolysis occurrence was evaluated by appearance, soluble peptide, and hydroxyproline content. Four gene-protein pairs were ACE, AJAP10923, Heme-binding protein 2-like, and Ficolin-2-like. Only the ACE protein and gene changed synchronously and a significant down-regulation of ACE occurred in the autolysis sea cucumbers. Teprotide led to a 1.58-fold increase in the TCA-soluble protein content and a 1.57-fold increase in hydroxyproline content. No significant differences were observed between imatinib-treated sea cucumbers and fresh ones regarding TCA-soluble protein content or hydroxyproline levels (P > 0.05). ACE inhibitor accelerated the autolysis of sea cucumber, but ACE activator inhibited the autolysis. Therefore, ACE can serve as a regulatory target for autolysis in sea cucumbers.

The impact of aquaculture economics expansion on marine water quality in the EU Region

Water scarcity is a growing condition caused by climate change and human activity, and it influences and interacts with other stressors in freshwater and marine ecosystems, such as chemical pollution. Aquaculture production has a significant impact on the EU27 region's water stress and water contamination discharge levels. Therefore, the primary goal of this research is to examine how the aquaculture industry affects water contamination discharge in European Union developed countries (EU14) and European Union developing countries (EU13) from 1990 to 2023. Since the dependent variable's error terms are correlated with the independent variables, the endogeneity problem was solved with the use of robust least squares (RLS), two-stage least squares (2SLS), and ordinary least squares (OLS) estimators, which produced the major findings. According to the precise effect sizes, the aquaculture industry and gross domestic product are more important in determining water contamination discharge in developed EU14 countries than in developing EU13 countries. The precise magnitudes of the effect demonstrate that, compared to EU14 developed countries, water contamination discharge in EU13 developing countries is mostly determined by the use of hydrocarbons. However, as the precise magnitudes of the three estimators demonstrate, governance is more important in EU14 developed countries than in EU13 developing countries when it comes to controlling water contamination discharge. The authors advise policymakers to give policies targeted at improving the aquaculture industry's efficiency and green development top priority, especially in EU13 developing countries with unplanned aquaculture expansion and inefficient aquaculture industry outgrowth. The authors advise policymakers in the EU14 developed countries to take actions targeted at improving governance efficiency top priority.

Protective Effects of Long Double-Stranded RNA with Different CpG Motifs against Miamiensis avidus and Viral Hemorrhagic Septicemia Virus (VHSV) Infections in Olive Flounder (Paralichthys olivaceus)

The South Korean aquaculture industry has incurred considerable production losses due to various infectious diseases. Artificially synthesized polyinosinic–polycytidylic acid (poly I:C), structurally similar to double-stranded RNA (dsRNA) and cytidine–phosphate–guanosine oligodeoxynucleotides, can enhance immune responses and protect against diseases. Here, we investigated dsRNA molecules with different cytidine–phosphate–guanosine (CpG) motifs (dsRNA-CpGMix) as fused agents to treat Miamiensis avidus and viral hemorrhagic septicemia virus (VHSV) infection in olive flounders. We further investigated the efficacy of specific sequence motifs in dsRNA in modulating immunostimulatory effects. Fish treated with poly I:C or dsRNA-CpGMix exhibited higher survival rates than the control group. Olive flounder leukocytes stimulated with poly I:C or dsRNA-CpGMix showed increased scuticocidal activity in the presence of inactivated immune sera. dsRNA with CpG motif sequences induced higher resistance against M. avidus and VHSV infections than dsRNA without CpG motif sequences, and the dsRNA-CpGMix group showed upregulated ISG15 or Mx compared to the dsRNA-GFP group. Thus, dsRNA containing CpG motifs can be used as effective immunostimulants to enhance resistance against viral and parasitic diseases in olive flounder. The specific sequences of the CpG motifs in dsRNA may be important for enhancing immune responses and resistance against M. avidus and VHSV infections in olive flounders.

Streptomyces sp. MUM 195J: A Promising Probiotic for Controlling Vibrio parahaemolyticus Infection in Aquaculture

Aquaculture is gaining prominence in meeting the increasing global food demand. However, persistent episodes of pathogenic infections have greatly affected production and incurred substantial financial losses to the industry. Regrettably, there is a lack of effective contemporary therapeutic measures to control infectious diseases in aquaculture. The repercussions of antimicrobial resistance have underscored the drawbacks of the contemporary practice of relying solely on antibiotics in disease control. The aquaculture industry needs a safer, environmentally viable, and economically efficient means for disease management. In this regard, this study aims to investigate the effectiveness of mangrove-derived Streptomyces sp. probiotics in controlling Vibrio parahaemolyticus infections. In vitro screenings were undertaken to evaluate the inhibitory activity of five Streptomyces sp. isolates. Subsequently, a series of in vivo trials was conducted, with the Malaysian giant freshwater prawn, Macrobrachium rosenbergii larvae as the animal model. Following that, molecular analyses were employed to examine the changes in gene expression. In essence, Streptomyces sp. MUM 195J emerges as a promising probiotic strain that demonstrates a strong inhibitory effect against V. parahaemolyticus. Its application as a feed additive elevates the survival rate of M. rosenbergii threefold, thus demonstrating efficacy at par with florfenicol antibiotic when challenged with the V. parahaemolyticus pathogen. Besides, Streptomyces sp. MUM 195J elevated the growth rate of M. rosenbergii by 17%. Real-time quantitative polymerase chain reaction (RT-qPCR) analysis revealed that probiotic supplementation elevated the immune function of the animal. Additionally, Streptomyces sp. MUM 195J demonstrates the potential to ameliorate the quality of the rearing water.

Novel Algorithm to Detect, Classify, and Count Mussel Larvae in Seawater Samples Using Computer Vision

The European Union’s mussel production industry is dependent on obtaining mussel larvae as seed for cultivation, a process traditionally monitored through labor-intensive manual sampling and microscopic counting prone to human error and time-consuming procedures. To address these challenges, our research presents a computer vision-based methodology for accurately identifying, classifying, and quantifying mussel larvae individuals across various developmental stages from microscopic images of water samples. Utilizing a neural network architecture derived from the YOLO method, our approach integrates convolutional, pooling, and fully connected layers to automate detection, classification, and accounting tasks. Through training with manually labeled samples and employing data augmentation techniques, we established a robust framework capable of processing diverse larval specimens effectively. Our research not only streamlines mussel larvae monitoring processes but also underscores the potential of computer vision techniques to enhance efficiency and accuracy in aquaculture industries.

Ancient and Recent Hybridization in the Oreochromis Cichlid Fishes.

Cichlid fishes of the genus Oreochromis (tilapia) are among the most important fish for inland capture fisheries and global aquaculture. Deliberate introductions of non-native species for fisheries improvement and accidental escapees from farms have resulted in admixture with indigenous species. Such hybridization may be detrimental to native biodiversity, potentially leading to genomic homogenization of populations and the loss of important genetic material associated with local adaptation. By contrast, introgression may fuel diversification when combined with ecological opportunity, by supplying novel genetic combinations. To date, the role of introgression in the evolutionary history of tilapia has not been explored. Here we studied both ancient and recent hybridization in tilapia, using whole genome resequencing of 575 individuals from 23 species. We focused on Tanzania, a natural hotspot of tilapia diversity, and a country where hybridization between exotic and native species in the natural environment has been previously reported. We reconstruct the first genome-scale phylogeny of the genus and reveal prevalent ancient gene flow across the Oreochromis phylogeny. This has likely resulted in the hybrid speciation of one species, O. chungruruensis. We identify multiple cases of recent hybridization between native and introduced species in the wild, linked to the use of non-native species in both capture fisheries improvement and aquaculture. This has potential implications for both conservation of wild populations and the development of the global tilapia aquaculture industry.

Massive branchial henneguyosis of catfish: A distinct, myxozoan-induced gill disease caused by severe interlamellar Henneguya exilis infection in catfish aquaculture.

Proliferative gill disease (PGD), caused by the myxozoan Henneguya ictaluri, has been the most notorious parasitic gill disease in the US catfish aquaculture industry. In 2019, an unusual gill disease caused by massive burdens of another myxozoan, Henneguya exilis, was described in channel (Ictalurus punctatus) × blue (Ictalurus furcatus) hybrid catfish. Targeted metagenomic sequencing and in situ hybridization (ISH) were used to differentiate these conditions by comparing myxozoan communities involved in lesion development and disease pathogenesis between massive H. exilis infections and PGD cases. Thirty ethanol-fixed gill holobranchs from 7 cases of massive H. exilis infection in hybrid catfish were subjected to targeted amplicon sequencing of the 18S rRNA gene and compared to a targeted metagenomic data set previously generated from clinical PGD case submissions. Furthermore, serial sections of 14 formalin-fixed gill holobranchs (2 per case) were analyzed by RNAscope duplex chromogenic ISH assays targeting 8 different myxozoan species. Targeted metagenomic and ISH data were concordant, indicating myxozoan community compositions significantly differ between PGD and massive branchial henneguyosis. Although PGD cases often consist of mixed species infections, massive branchial henneguyosis consisted of nearly pure H. exilis infections. Still, H. ictaluri was identified by ISH in association with infrequent PGD lesions, suggesting coinfections occur, and some cases of massive branchial henneguyosis may contain concurrent PGD lesions contributing to morbidity. These findings establish a case definition for a putative emerging, myxozoan-induced gill disease of farm-raised catfish with a proposed condition name of massive branchial henneguyosis of catfish (MBHC).

Protective efficacy and immune responses of largemouth bass (Micropterus salmoides) immunized with an inactivated vaccine against the viral hemorrhagic septicemia virus genotype IVa

Viral hemorrhagic septicemia virus (VHSV) poses a significant threat to the aquaculture industry, prompting the need for effective preventive measures. Here, we developed an inactivated VHSV and revealed the molecular mechanisms underlying the host's protective response against VHSV. The vaccine was created by treating VHSV with 0.05 % formalin at 16 °C for 48 h, which was determined to be the most effective inactivation method. Compared with nonvaccinated fish, vaccinated fish exhibited a remarkable increase in survival rate (99 %) and elevated levels of serum neutralizing antibodies, indicating strong immunization. To investigate the gene changes induced by vaccination, RNA sequencing was performed on spleen samples from control and vaccinated fish 14 days after vaccination. The analysis revealed 893 differentially expressed genes (DEGs), with notable up-regulation of immune-related genes such as annexin A1a, coxsackievirus and adenovirus receptor homolog, V-set domain-containing T-cell activation inhibitor 1-like, and heat shock protein 90 alpha class A member 1 tandem duplicate 2, indicating a vigorous innate immune response. Furthermore, KEGG enrichment analysis highlighted significant enrichment of DEGs in processes related to antigen processing and presentation, necroptosis, and viral carcinogenesis. GO enrichment analysis further revealed enrichment of DEGs related to the regulation of type I interferon (IFN) production, type I IFN production, and negative regulation of viral processes. Moreover, protein-protein interaction network analysis identified central hub genes, including IRF3 and HSP90AA1.2, suggesting their crucial roles in coordinating the immune response elicited by the vaccine. These findings not only confirm the effectiveness of our vaccine formulation but also offer valuable insights into the underlying immunological mechanisms, which can be valuable for future vaccine development and disease management in the aquaculture industry.

Modification of PVA Nanofiber by Simple Hot Water Treatment and Application on the Removal of Malachite Green Dye From Aqueous Solutions.

In this study, the crosslinking of PVA nanofiber was increased using solvent vapor treatment. Then, Fe3O4 nanoparticles were synthesized by a simple hot water technique and composited with the nanofiber. The study focuses on applying the modified PVA nanofibers to remove malachite green (MG) from water using different pH, contact times, and dye initial concentrations. The surface morphology of the nanofiber was determined using SEM, FTIR, and XRD techniques. SEM showed that the crosslinking was increased, and Fe3O4 nanoparticles appeared as agglomerates on the surface of the nanofiber. The removal percentages at optimal pH and contact time were 99.76%, and 99.5%, respectively. Thereafter, kinetics was studied by the linear pseudo-first order, pseudo-second order, Elovich equation, and Intraparticle diffusion models. Results demonstrated that the adsorption kinetics follow the pseudo-second order. Moreover, the adsorption isotherm was discussed using Langmuir and Freundlich equations. The Langmuir equation best described the adsorption with R2 value of 0.9771, and the maximum removal was 128.205 mg/g. As a result, the MG dye molecules covered the PVA nanofiber/Fe3O4 nanoparticles in a monolayer and homogenous coverage. The results of this study are significant for industries' wastewater treatment as they provide a potential solution for the removal of MG dye from textile, paper, cosmetics, food, and aquaculture industries' wastewater.

Harnessing Hue: Advances and Applications of Fish Skin Pigmentation Genetics in Aquaculture

Fish exhibit a broad spectrum of colors and patterns facilitated by specialized cells known as chromatophores. The vibrant coloration of fish, controlled by complex genetic and environmental interactions, serves critical roles in ecological functions such as mating, predation, and camouflage. This diversity not only makes fish an invaluable model for exploring the molecular mechanisms of pigmentation but also significantly impacts their economic value within the aquaculture industry, where color traits can drive marketability and breeding choices. This review delves into the sophisticated biological processes governing fish pigmentation and discusses their applications in enhancing aquaculture practices. By exploring the intersection of genetic regulation, environmental influences, and advanced breeding techniques, this review highlights both the scientific understanding and practical applications of fish coloration, providing a bridge between basic biological research and its application in commercial aquaculture.

A novel fish individual recognition method for precision farming based on knowledge distillation strategy and the range of the receptive field.

With the continuous development of green and high-quality aquaculture technology, the process of industrialized aquaculture has been promoted. Automation, intelligence, and precision have become the future development trend of the aquaculture industry. Fish individual recognition can further distinguish fish individuals based on the determination of fish categories, providing basic support for fish disease analysis, bait feeding, and precision aquaculture. However, the high similarity of fish individuals and the complexity of the underwater environment presents great challenges to fish individual recognition. To address these problems, we propose a novel fish individual recognition method for precision farming that rethinks the knowledge distillation strategy and the chunking method in the vision transformer. The method uses the traditional convolutional neural network model as the teacher model, introducing the teacher token to guide the student model to learn the fish texture features. We propose stride patch embedding to expand the range of the receptive field, thus enhancing the local continuity of the image, and self-attention-pruning to discard unimportant tokens and reduce the model computation. The experimental results on the DlouFish dataset show that the proposed method in this paper improves accuracy by 3.25% compared to ECA Resnet152, with an accuracy of 93.19%, and also outperforms other vision transformer models.

Adaptive density guided network with CNN and Transformer for underwater fish counting

Accurate assessment of high-density underwater fish resources is vital to the aquaculture industry. It is directly related to the formulation of fishery insurance strategies and the implementation of breeding plans. However, accurately counting fish in high-density environments becomes challenging due to the uneven distribution of fish density and individual fish’s different sizes and postures. To break through this technical bottleneck, we developed an advanced adaptive density-guided high-density fish counting network. In detail, first of all, the network adopts a multi-layer feature fusion structure similar to UNet, which significantly enhances the matching between fish targets of different scales and feature pyramid levels, effectively alleviating the problems caused by scale changes and morphological deformations. Secondly, the network also introduces a density-guided adaptive selection module, which can intelligently judge the applicability of Convolutional Neural Network and Transformer blocks in different density areas, thereby achieving robust information transfer and interaction between blocks. Finally, to verify the effectiveness of this method, we also specially constructed two high-density data sets: a simulated high-density underwater fish image data set (SHUFD) and a real high-density underwater fish image data set (RHUFD). The proposed method has significant improvements over the state-of-the-art method (CUT) on SHUFD and RHUFD datasets, with the mean absolute error, mean square error, background region bias, foreground region bias and density map bias indicators improving by 3.44% and 6.47%, 11.43% and 4.41%, 23.91% and 29.48%, 4.43% and 10.33%, 8.3% and 13.14%, respectively.

Genomic architecture and sex chromosome systems of commercially important fish species in Asia – Current status, knowledge gaps and future prospects

AbstractAquaculture is one of the fastest growing agro‐food industries in the world and Asia dominates the world's fish production (70% of total) with a high potential to ensure global food security. The leading aquaculture fish species in Asia show sexual dimorphism for traits such as growth, age at sexual maturity etc. in which one sex outperforms the other, increasing the need for controlling sex‐ratio in the farming system. Despite the huge contribution of Asian aquaculture to global fish production, the Asian aquaculture is facing a lot of challenges, for example, maintaining the genetic purity of the fish species and balancing the sex‐ratio in the culture system. Many of these difficulties arise due to a lack of deep understanding of fish genetics, or to the duplicated genome of cultured species, or to the unavailability of high‐quality reference genomes and information on sex determination mechanisms (crucial for monosex production and establishing appropriate breeding programme). This review has described the existing knowledge of the sex determination mechanisms in fish and genome architecture of four commercially important fish groups in Asia (carps, tilapias, catfishes and snakeheads). We also have outlined possible strategies for identifying sex‐determining gene/s using modern genome sequencing and computational technologies. Finally, we have highlighted the existing challenges and future prospects of Asian aquaculture. We anticipate that developments in genome sequencing technologies will help to address the biological complexities and challenges that exist in commercial aquaculture and will be of value for the future growth of the aquaculture industry in Asia.

Singapore grouper iridovirus VP146 modulates the cGAS-STING signaling pathway to escape the interferon immune response

Singapore grouper iridovirus (SGIV) is a large double-stranded DNA virus that has caused significant economic losses to the grouper aquaculture industry. So far, the structure and function of SGIV proteins have been successively reported. In the present paper, the protein of SGIV VP146 was cloned and identified. VP146 was whole-cell distributed in GS cells. VP146 promoted SGIV replication and inhibited the transcription of interferon-related genes as well as pro-inflammatory cytokines in GS cells. In addition, VP146 was involved in the regulation of the cGAS-STING signaling pathway, and decreased cGAS-STING induced the promoter of ISRE and NF-κB. VP146 interacted with the proteins of cGAS, STING, TBK1, and IRF3 from grouper, but did not affect the binding of grouper STING to grouper TBK1 and grouper IRF3. Interestingly, grouper STING was able to affect the intracellular localization of VP146. Four segment structural domains of grouper STING were constructed, and grouper STING-CTT could affect the intracellular localization of VP146. VP146 had no effect on the self-binding of EcSITNG, nor on the binding of EcSTING to EcTBK1 and EcIRF3. Together, the results demonstrated that SGIV VP146 modulated the cGAS-STING signaling pathway to escape the interferon immune response.

Integration of down-flow hanging sponge reactor to oreochromis niloticus − Brassica oleracea aquaponics system

Aquaponics is a promising solution for addressing food security concerns. Nonetheless, an effective water-purification system is necessary to achieve high and stable yields of fish and vegetables. This study aimed to evaluate the nitrification and oxygen transfer performance of a laboratory-scale down-flow hanging sponge (DHS) reactor with a Brassica oleracea aquaponics system to treat water in an Oreochromis niloticus closed-aquaculture system. The DHS reactor showed a higher oxygen transfer coefficient (KLa) than the conventional aerator and provided an adequate dissolved oxygen (DO) concentration of approximately 5.5 mg/L essential for O. niloticus growth throughout the experimental period. The evaluated DHS-based aquaponic system maintained high water quality in an aquaculture tank, with a survival rate of 97%. The O. niloticusgrew at a low feed conversion ratio of 1.5–2.1 and a low feeding rate of 0.5% at high stocking densities of 17.5–22.2 kg-fish-weight/m3. 16S rRNA gene sequencing indicated that the DHS sponge carrier effectively retained nitrifying bacteria such as Nitrosomonas and Nitrospira. This study demonstrated that the DHS reactor provided a high DO concentration and that a simultaneous DHS reactor with a hydroponic tank provided a low-cost aquaponic system that could be applied for food production in the aquaculture industry.

Effects of varied exercise intensities on growth, muscle quality and volatile compounds in largemouth bass (Micropterus salmoides) cultured in recirculating aquaculture system

To explore the impact of different exercise intensities on the growth, muscle quality, and volatile compounds of largemouth bass, this study involved 270 fish with an initial weight of 96.05 ± 18.87 g. They were divided into three groups: a control group (CG) exposed to a constant current speed of 0.30 cm/s for 24 h/day; an interval exercise group (IE) exercising at a rate of 2 body lengths per second (bl/s) for 8 h/day; and a sustained exercise group (SE) exercising continuously at 2 bl/s for 24 h/day. The experiment was conducted in a recirculating aquaculture system over a period of 90 days. Results revealed that SE exhibited remarkably greater body mass and condition factor (CF), with higher weight gain rate (WGR) and specific growth rate (SGR) compared to IE and CG (P < 0.05). SE exhibits superior growth performance. No significant differences was observed among the three groups in terms of centrifugal loss, drip loss, liquid loss, stored loss, and cooked rate. However, in terms of frozen leakage, the IE was considerably lower than the CG and SE (P < 0.05).In terms of raw meat texture, the hardness, chewiness, and shearing of the SE were notably greater than the CG (P < 0.05), and the SE were superior in hardness compared to the IE (P < 0.05). Regarding cooked meat texture, the SE exhibited significantly superior hardness, chewiness, springiness, and shearing compared to both the CG and IE (P < 0.05). The IE demonstrated higher levels of chewiness, springiness, and shearing compared to the CG (P < 0.05). With respect to nutritional indicators, the crude protein content of both the SE and IE was significantly higher than that of the CG. In terms of volatile substances, the CG had relatively high levels of carboxylic acid compounds and alcohol compounds in this experiment. The ketone compounds in the IE were significantly higher than those in the CG and SE. 2-Methylbutanoic acid methyl ester had the highest content in the SE. The results show that interval swimming exercise training and sustained exercise training can effectively improve the sensory quality of fish muscle, effectively remove the irritating smell in the muscle, and produce aromatic odor. Consequently, exercise training at varying intensities has been demonstrated to significantly enhance the growth and muscle quality of largemouth bass, offering potential strategies for improving fish product quality in the aquaculture industry. This contributes to increased efficiency and sustainability in fish farming practices and provides valuable insights for regulating the nutritional quality of fish muscle in future recirculating aquaculture system models.