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Wang Y, Kang Y, Zhong Z, Liu J, Wu J, Liu Z. Transcriptomics, antioxidant enzyme activities, and immune-associated parameter analysis reveal the molecular responses of rainbow trout (Oncorhynchus mykiss) to transportation stress. COMPARATIVE BIOCHEMISTRY AND PHYSIOLOGY. PART D, GENOMICS & PROTEOMICS 2025; 55:101455. [PMID: 39999723 DOI: 10.1016/j.cbd.2025.101455] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/10/2024] [Revised: 02/21/2025] [Accepted: 02/21/2025] [Indexed: 02/27/2025]
Abstract
To explore how transportation stress affects the physiology of rainbow trout, we measure antioxidant and immunity-related indicators in spleen tissues of adult fish during transportation (at 0, 2, and 6 h) and 24 h following it (r24 h). We report a significant reduction in spleen catalase activity among the 2, 6, and r24 h groups compared with the 0 h group (P < 0.05). Levels of glutathione peroxidase activity and total antioxidant capacity, and lipid peroxide, complement C4, and immunoglobulin M contents first decreased, then increased; complement C3 content and lysozyme activity first increased, then decreased; and tumor necrosis factor-α levels were relatively stable (P > 0.05). Transcriptome sequencing of spleen samples at 0, 6, and r24 h using Illumina HiSeq6000 identified 4419, 2733, and 4375 differentially expressed genes (DEGs) in 0 vs 6, 6 vs r24, and 0 vs r24 h comparisons, respectively. Gene ontology annotation of these DEGs revealed them to function mainly in binding and catalytic activities, and to be significantly enriched in cellular processes and biological regulation terms. Kyoto Encyclopedia of Genes and Genomes enrichment analysis revealed DEGs in the 0 h vs 6 h comparison to be significantly enriched in cytokine-cytokine receptor interaction, C-type lectin receptor signaling pathway, in regulating actin cytoskeleton, lysosome (0 vs r24 h); and in the Toll-like and MAPK signaling pathways (6 vs r24 h). Several immune-related genes were identified from both the 0 h vs 6 h and 6 h vs r24 h comparisons. These findings lay a solid foundation for further research on understanding how fish respond to transportation stress at the molecular level.
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Affiliation(s)
- Yueqing Wang
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou 730070, Gansu, China
| | - Yujun Kang
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou 730070, Gansu, China.
| | - Zixuan Zhong
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou 730070, Gansu, China
| | - Jichang Liu
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou 730070, Gansu, China
| | - Jinlian Wu
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou 730070, Gansu, China
| | - Zhe Liu
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou 730070, Gansu, China
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Ma Q, Zhang R, Wei Y, Liang M, Xu H. Effects of Intermittent and Chronic Hypoxia on Fish Size and Nutrient Metabolism in Tiger Puffer ( Takifugu rubripes). Animals (Basel) 2024; 14:2470. [PMID: 39272255 PMCID: PMC11393956 DOI: 10.3390/ani14172470] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2024] [Revised: 08/21/2024] [Accepted: 08/23/2024] [Indexed: 09/15/2024] Open
Abstract
Intermittent and chronic hypoxia are common stresses to marine fish, but the different responses of fish to intermittent and chronic hypoxia have not been well-known. In this study, tiger puffers were farmed in normoxia conditions (NO, 6.5 ± 0.5 mg/L), intermittent hypoxia (IH, 6.5 ± 0.5 mg/L in the day and 3.5 ± 0.5 mg/L in the night), or choric hypoxia (CH, 3.5 ± 0.5 mg/L) conditions for 4 weeks, after which the growth, nutrient metabolism and three hifα isoforms expression were measured. Both intermittent and chronic hypoxia decreased the fish growth and visceral weight but increased the feed conversion ratio and blood hemoglobin content. Chronic hypoxia but not intermittent hypoxia promoted protein synthesis and whole-fish protein content by activating mtor gene expression and promoted the glycolysis pathway by activating gene expression of hif1α and hif2α. Intermittent hypoxia but not chronic hypoxia decreased the hepatic lipid synthesis by inhibiting fasn and srebf1 gene expression. Meanwhile, intermittent hypoxia reduced the monounsaturated fatty acid content but increased the n-3 polyunsaturated fatty acids percentage. The results of this study clarified the adaptive mechanism of tiger puffer to intermittent and chronic hypoxia, which provides important information about mechanisms of hypoxia adaption in fish.
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Affiliation(s)
- Qiang Ma
- State Key Laboratory of Mariculture Biobreeding and Sustainable Goods, Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Qingdao 266071, China
| | - Renxiao Zhang
- State Key Laboratory of Mariculture Biobreeding and Sustainable Goods, Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Qingdao 266071, China
- Key Laboratory of Aquaculture Nutrition and Feed, Ministry of Agriculture, Ocean University of China, 5 Yushan Road, Qingdao 266003, China
| | - Yuliang Wei
- State Key Laboratory of Mariculture Biobreeding and Sustainable Goods, Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Qingdao 266071, China
- Laboratory for Marine Fisheries Science and Food Production Processes, Qingdao Marine Science and Technology Center, Qingdao 266237, China
| | - Mengqing Liang
- State Key Laboratory of Mariculture Biobreeding and Sustainable Goods, Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Qingdao 266071, China
- Laboratory for Marine Fisheries Science and Food Production Processes, Qingdao Marine Science and Technology Center, Qingdao 266237, China
| | - Houguo Xu
- State Key Laboratory of Mariculture Biobreeding and Sustainable Goods, Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Qingdao 266071, China
- Laboratory for Marine Fisheries Science and Food Production Processes, Qingdao Marine Science and Technology Center, Qingdao 266237, China
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Zhao C, Ding Y, Zhang Y, Chu M, Ning X, Ji J, Wang T, Zhang G, Yin S, Zhang K. Integrated analysis of transcriptome, translatome and proteome reveals insights into yellow catfish (Pelteobagrus fulvidraco) brain in response to hypoxia. AQUATIC TOXICOLOGY (AMSTERDAM, NETHERLANDS) 2024; 266:106801. [PMID: 38096642 DOI: 10.1016/j.aquatox.2023.106801] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/26/2023] [Revised: 11/11/2023] [Accepted: 12/10/2023] [Indexed: 01/02/2024]
Abstract
Brain plays a central role in adapting to environmental changes and is highly sensitive to the oxygen level. Although previous studies investigated the molecular response of brain exposure to acute hypoxia in fish, the lack of studies at the translational level hinders further understanding of the regulatory mechanism response to hypoxia from multi-omics levels. Yellow catfish (Pelteobagrus fulvidraco) is an important freshwater aquaculture species; however, hypoxia severely restricts the sustainable development of its breeding industry. In the present study, the transcriptome, translatome, and proteome were integrated to study the global landscapes of yellow catfish brain response to hypoxia. The evidently increased amount of cerebral cortical cells with oedema and pyknotic nuclei has been observed in hypoxia group of yellow catfish. A total of 2750 genes were significantly changed at the translational level. Comparative transcriptional and translational analysis suggested the HIF-1 signaling pathway, autophagy and glycolysis/gluconeogenesis were up-regulated after hypoxia exposure. KEGG enrichment of translational efficiency (TE) differential genes suggested that the lysosome and autophagy were highly enriched. Our result showed that yellow catfish tends to inhibit the TE of genes by increasing the translation of uORFs to adapt to hypoxia. Correlation analysis showed that transcriptome and translatome exhibit higher correlation. In summary, this study demonstrated that hypoxia dysregulated the cerebral function of yellow catfish at the transcriptome, translatome, and proteome, which provides a better understanding of hypoxia adaptation in teleost.
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Affiliation(s)
- Cheng Zhao
- College of Marine Science and Engineering, Nanjing Normal University, Jiangsu Province Engineering Research Center for Aquatic Animals Breeding and Green Efficient Aquacultural Technology, Nanjing 210023, China; Co-Innovation Center for Marine Bio-Industry Technology, Lian Yungang 222005, Jiangsu, China
| | - Yubing Ding
- College of Marine Science and Engineering, Nanjing Normal University, Jiangsu Province Engineering Research Center for Aquatic Animals Breeding and Green Efficient Aquacultural Technology, Nanjing 210023, China
| | - Yufei Zhang
- College of Marine Science and Engineering, Nanjing Normal University, Jiangsu Province Engineering Research Center for Aquatic Animals Breeding and Green Efficient Aquacultural Technology, Nanjing 210023, China
| | - Mingxu Chu
- College of Marine Science and Engineering, Nanjing Normal University, Jiangsu Province Engineering Research Center for Aquatic Animals Breeding and Green Efficient Aquacultural Technology, Nanjing 210023, China
| | - Xianhui Ning
- College of Marine Science and Engineering, Nanjing Normal University, Jiangsu Province Engineering Research Center for Aquatic Animals Breeding and Green Efficient Aquacultural Technology, Nanjing 210023, China; Co-Innovation Center for Marine Bio-Industry Technology, Lian Yungang 222005, Jiangsu, China
| | - Jie Ji
- College of Marine Science and Engineering, Nanjing Normal University, Jiangsu Province Engineering Research Center for Aquatic Animals Breeding and Green Efficient Aquacultural Technology, Nanjing 210023, China; Co-Innovation Center for Marine Bio-Industry Technology, Lian Yungang 222005, Jiangsu, China
| | - Tao Wang
- College of Marine Science and Engineering, Nanjing Normal University, Jiangsu Province Engineering Research Center for Aquatic Animals Breeding and Green Efficient Aquacultural Technology, Nanjing 210023, China; Co-Innovation Center for Marine Bio-Industry Technology, Lian Yungang 222005, Jiangsu, China
| | - Guosong Zhang
- Key Laboratory for Physiology Biochemistry and Application, Heze University, Heze 274015, China
| | - Shaowu Yin
- College of Marine Science and Engineering, Nanjing Normal University, Jiangsu Province Engineering Research Center for Aquatic Animals Breeding and Green Efficient Aquacultural Technology, Nanjing 210023, China; Co-Innovation Center for Marine Bio-Industry Technology, Lian Yungang 222005, Jiangsu, China
| | - Kai Zhang
- College of Marine Science and Engineering, Nanjing Normal University, Jiangsu Province Engineering Research Center for Aquatic Animals Breeding and Green Efficient Aquacultural Technology, Nanjing 210023, China; Co-Innovation Center for Marine Bio-Industry Technology, Lian Yungang 222005, Jiangsu, China.
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Luan H, Zhao J, Yang J, Gao X, Song J, Chen X, Cai Q, Yang C, Zhao L, Ji M, Zhai H, Chen Z, Li X, Liu W. Integrated genotoxicity of secondary and tertiary treatment effluents in North China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 865:161241. [PMID: 36586681 DOI: 10.1016/j.scitotenv.2022.161241] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/06/2022] [Revised: 12/01/2022] [Accepted: 12/23/2022] [Indexed: 06/17/2023]
Abstract
Genotoxic effects on aquatic organisms caused by wastewater discharging have raised extensive concerns. However, the efficiency of various wastewater treatment processes to reduce effluent genotoxicity was not well known. Genotoxic effects of effluents from four secondary wastewater treatment plants (SWTPs) and a tertiary wastewater treatment plant (TTP) in north China on Chinese rare minnows (Gobiocypris rarus) were evaluated and the toxicity reduction efficiency of various treatment techniques was compared. SWTPs and TTP final effluents disturbed the antioxidant system and lipid peroxidation, with malondialdehyde (MDA) contents in the fish livers and gills increasing to 1.4-2.4 folds and 1.6-3.1 folds of control, respectively. Significant increases in erythrocytes micronucleus (MN) frequency were induced by effluent, and liver DNA damage caused by final SWTPs effluent was 29-54 % lower than TTP effluent. Further, DNA repair gene atm and growth arrest gene gadd45a were remarkably upregulated by SWTP and TTP final effluents to 1.8-12 folds and 4.1-15 folds, respectively, being consistent with the chromosomal aberration and DNA damage in liver tissue. Integrated biomarker response (IBR) of the tertiary effluent was 49 %-69 % lower than the secondary effluents. However, the final ozone disinfection at TTP caused an increase in the DNA damage, suggesting the generation of genotoxic by-products. UV disinfection at secondary treatment removed part of genotoxicity, with a reduction in IBR of 0 %-47 %. The total semi-volatile organic compounds (SVOCs) detected in the final effluent contained 5 %-56 % potential genotoxic substances, removal of which was 9 %-51 % lower than non-genotoxic compounds. Microfiltration and reverse osmosis process exhibited good performance in removing both the integrated genotoxicity and the potential genotoxic SVOCs. Our finding shows that TTP is superior than SWTP for wastewater treatment due to higher genotoxicity removal, but ozone disinfection needs improvement by optimizing performance parameters or adding post-treatment processes, to achieve better protection for aquatic organisms against genotoxic contaminants.
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Affiliation(s)
- Haiyang Luan
- Key Laboratory of Industrial Ecology and Environmental Engineering (Ministry of Education), School of Environmental Science and Technology, Dalian University of Technology, Dalian 116024, China
| | - Jing Zhao
- Key Laboratory of Industrial Ecology and Environmental Engineering (Ministry of Education), School of Environmental Science and Technology, Dalian University of Technology, Dalian 116024, China
| | - Jing Yang
- Key Laboratory of Industrial Ecology and Environmental Engineering (Ministry of Education), School of Environmental Science and Technology, Dalian University of Technology, Dalian 116024, China
| | - Xin Gao
- Key Laboratory of Industrial Ecology and Environmental Engineering (Ministry of Education), School of Environmental Science and Technology, Dalian University of Technology, Dalian 116024, China
| | - Jingyang Song
- Key Laboratory of Industrial Ecology and Environmental Engineering (Ministry of Education), School of Environmental Science and Technology, Dalian University of Technology, Dalian 116024, China
| | - Xiaofeng Chen
- Key Laboratory of Industrial Ecology and Environmental Engineering (Ministry of Education), School of Environmental Science and Technology, Dalian University of Technology, Dalian 116024, China
| | - Qinyu Cai
- Key Laboratory of Industrial Ecology and Environmental Engineering (Ministry of Education), School of Environmental Science and Technology, Dalian University of Technology, Dalian 116024, China
| | - Chen Yang
- Key Laboratory of Industrial Ecology and Environmental Engineering (Ministry of Education), School of Environmental Science and Technology, Dalian University of Technology, Dalian 116024, China
| | - Liqian Zhao
- Key Laboratory of Industrial Ecology and Environmental Engineering (Ministry of Education), School of Environmental Science and Technology, Dalian University of Technology, Dalian 116024, China
| | - Min Ji
- School of Environmental Science and Engineering, Tianjin University, Tianjin 300350, China
| | - Hongyan Zhai
- School of Environmental Science and Engineering, Tianjin University, Tianjin 300350, China
| | - Zhiqiang Chen
- State Key Laboratory of Urban Water Resource and Environment, Harbin Institute of Technology (SKLUWRE, HIT), Harbin 150090, China
| | - Xuehua Li
- Key Laboratory of Industrial Ecology and Environmental Engineering (Ministry of Education), School of Environmental Science and Technology, Dalian University of Technology, Dalian 116024, China
| | - Wei Liu
- Key Laboratory of Industrial Ecology and Environmental Engineering (Ministry of Education), School of Environmental Science and Technology, Dalian University of Technology, Dalian 116024, China.
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