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Dong L, Sun Y, Chu M, Xie Y, Wang P, Li B, Li Z, Xu X, Feng Y, Sun G, Wang Z, Cui C, Wang W, Yang J. Exploration of Response Mechanisms in the Gills of Pacific Oyster ( Crassostrea gigas) to Cadmium Exposure through Integrative Metabolomic and Transcriptomic Analyses. Animals (Basel) 2024; 14:2318. [PMID: 39199852 PMCID: PMC11350665 DOI: 10.3390/ani14162318] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2024] [Revised: 08/02/2024] [Accepted: 08/08/2024] [Indexed: 09/01/2024] Open
Abstract
Marine mollusks, including oysters, are highly tolerant to high levels of cadmium (Cd), but the molecular mechanisms underlying their molecular response to acute Cd exposure remain unclear. In this study, the Pacific oyster Crassostrea gigas was used as a biological model, exposed to acute Cd stress for 96 h. Transcriptomic analyses of their gills were performed, and metabolomic analyses further validated these results. In our study, a total of 111 differentially expressed metabolites (DEMs) and 2108 differentially expressed genes (DEGs) were identified under acute Cd exposure. Further analyses revealed alterations in key genes and metabolic pathways associated with heavy metal stress response. Cd exposure triggered physiological and metabolic responses in oysters, including enhanced oxidative stress and disturbances in energy metabolism, and these changes revealed the biological response of oysters to acute Cd stress. Moreover, oysters could effectively enhance the tolerance and detoxification ability to acute Cd exposure through activating ABC transporters, enhancing glutathione metabolism and sulfur relay system in gill cells, and regulating energy metabolism. This study reveals the molecular mechanism of acute Cd stress in oysters and explores the molecular mechanism of high tolerance to Cd in oysters by using combined metabolomics and transcriptome analysis.
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Affiliation(s)
- Luyao Dong
- School of Fisheries, Ludong University, Yantai 264025, China; (L.D.); (Z.L.)
- College of Fisheries and Life Science, Shanghai Ocean University, Shanghai 201306, China
| | - Yanan Sun
- School of Fisheries, Ludong University, Yantai 264025, China; (L.D.); (Z.L.)
| | - Muyang Chu
- School of Fisheries, Ludong University, Yantai 264025, China; (L.D.); (Z.L.)
| | - Yuxin Xie
- School of Fisheries, Ludong University, Yantai 264025, China; (L.D.); (Z.L.)
| | - Pinyi Wang
- School of Fisheries, Ludong University, Yantai 264025, China; (L.D.); (Z.L.)
| | - Bin Li
- Yantai Kongtong Island Industrial Co., Ltd., Yantai 264000, China
| | - Zan Li
- School of Fisheries, Ludong University, Yantai 264025, China; (L.D.); (Z.L.)
| | - Xiaohui Xu
- School of Fisheries, Ludong University, Yantai 264025, China; (L.D.); (Z.L.)
- Yantai Haiyu Marine Technology Co., Ltd., Yantai 264000, China
| | - Yanwei Feng
- School of Fisheries, Ludong University, Yantai 264025, China; (L.D.); (Z.L.)
- Yantai Haiyu Marine Technology Co., Ltd., Yantai 264000, China
| | - Guohua Sun
- School of Fisheries, Ludong University, Yantai 264025, China; (L.D.); (Z.L.)
- Yantai Haiyu Marine Technology Co., Ltd., Yantai 264000, China
| | - Zhongping Wang
- Yantai Kongtong Island Industrial Co., Ltd., Yantai 264000, China
| | - Cuiju Cui
- School of Fisheries, Ludong University, Yantai 264025, China; (L.D.); (Z.L.)
| | - Weijun Wang
- School of Fisheries, Ludong University, Yantai 264025, China; (L.D.); (Z.L.)
- College of Fisheries and Life Science, Shanghai Ocean University, Shanghai 201306, China
- Yantai Kongtong Island Industrial Co., Ltd., Yantai 264000, China
- Yantai Haiyu Marine Technology Co., Ltd., Yantai 264000, China
| | - Jianmin Yang
- School of Fisheries, Ludong University, Yantai 264025, China; (L.D.); (Z.L.)
- College of Fisheries and Life Science, Shanghai Ocean University, Shanghai 201306, China
- Yantai Kongtong Island Industrial Co., Ltd., Yantai 264000, China
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Wang C, Tang M, Chen Y, Liu D, Xie S, Zou J, Tang H, Li Q, Zhou A. Expression of genes related to antioxidation, immunity, and heat stress in Gambusia affinis exposed to the heavy metals Cu and Zn. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2022; 247:114269. [PMID: 36343450 DOI: 10.1016/j.ecoenv.2022.114269] [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: 08/13/2022] [Revised: 10/26/2022] [Accepted: 11/01/2022] [Indexed: 06/16/2023]
Abstract
Water pollution is an increasingly serious problem. Here, Cu and Zn ions were used as stress factors, and G. affinis served as a test organism. Fluorescence quantitative PCR was used to detect changes in the expression of antioxidant genes (SOD, GST, CAT), heat stress genes (Hsp70, Hsp90, Hspd1, Hsc70), and immune system-related genes (IL-1β, IL-8) in G. affinis exposed to Cu and Zn ions over time. To explore the toxic effects of Cu and Zn on G. affinis. The results showed that the 48 h LC50 concentrations of the heavy metals Cu and Zn to G. affinis were 0.17 mg/L and 44.67 mg/L, respectively. Within 48 h, with prolonged Cu exposure, the relative expression levels of the Hsp70, Hsp90, Hspd1, Hsc70, SOD, GST, and CAT genes in the gill tissue first showed a significant increase and then gradually decreased. Gene expression peaked between 9 and 36 h. The relative expression levels of SOD and GST genes in liver tissue showed a gradual decline. Within 48 h, with prolonged Zn exposure, the expression levels of SOD, CAT, and GST genes in G. affinis first increased and then fell before finally rising. The expression levels of IL-1β and IL-8 mRNA showed varying degrees of upward trends, and the expression of IL-8 was the highest for all gill tissue. To sum up, Cu and Zn have strong toxic effects on G. affinis, which makes it possible to use G. affinis as indicator organisms for aquatic environmental pollution.
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Affiliation(s)
- Chong Wang
- University Joint Laboratory of Guangdong Province, Hong Kong and Macao Region on Marine Bioresource Conservation and Exploitation, Guangdong Laboratory for Lingnan Modern Agriculture, College of Marine Sciences, South China Agricultural University, Guangzhou 510642, China.
| | - Manfei Tang
- University Joint Laboratory of Guangdong Province, Hong Kong and Macao Region on Marine Bioresource Conservation and Exploitation, Guangdong Laboratory for Lingnan Modern Agriculture, College of Marine Sciences, South China Agricultural University, Guangzhou 510642, China.
| | - Yuliang Chen
- University Joint Laboratory of Guangdong Province, Hong Kong and Macao Region on Marine Bioresource Conservation and Exploitation, Guangdong Laboratory for Lingnan Modern Agriculture, College of Marine Sciences, South China Agricultural University, Guangzhou 510642, China.
| | - Dingrui Liu
- State Key Laboratory of Biocontrol, Guangdong Provincial Key Laboratory for Aquatic Economic Animals and Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), School of Life Sciences, Sun Yat-Sen University, Guangzhou 510275, China.
| | - Shaolin Xie
- University Joint Laboratory of Guangdong Province, Hong Kong and Macao Region on Marine Bioresource Conservation and Exploitation, Guangdong Laboratory for Lingnan Modern Agriculture, College of Marine Sciences, South China Agricultural University, Guangzhou 510642, China.
| | - Jixing Zou
- University Joint Laboratory of Guangdong Province, Hong Kong and Macao Region on Marine Bioresource Conservation and Exploitation, Guangdong Laboratory for Lingnan Modern Agriculture, College of Marine Sciences, South China Agricultural University, Guangzhou 510642, China.
| | - Huijuan Tang
- University Joint Laboratory of Guangdong Province, Hong Kong and Macao Region on Marine Bioresource Conservation and Exploitation, Guangdong Laboratory for Lingnan Modern Agriculture, College of Marine Sciences, South China Agricultural University, Guangzhou 510642, China.
| | - Qibiao Li
- University Joint Laboratory of Guangdong Province, Hong Kong and Macao Region on Marine Bioresource Conservation and Exploitation, Guangdong Laboratory for Lingnan Modern Agriculture, College of Marine Sciences, South China Agricultural University, Guangzhou 510642, China; Agricultural Science Research Institute of Lianshan Zhuang and Yao Autonomous County, Qingyuan, Guangdong 511540, China.
| | - Aiguo Zhou
- University Joint Laboratory of Guangdong Province, Hong Kong and Macao Region on Marine Bioresource Conservation and Exploitation, Guangdong Laboratory for Lingnan Modern Agriculture, College of Marine Sciences, South China Agricultural University, Guangzhou 510642, China.
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Key Performance Indicators of Common Carp (Cyprinus carpio L.) Wintering in a Pond and RAS under Different Feeding Schemes. SUSTAINABILITY 2022. [DOI: 10.3390/su14073724] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
Abstract
Overwintering impacts common carp performance, yet the nature of changes is not known. The aim of the study was to compare the zootechnical and key performance indicators (KPI) of Cyprinus carpio wintering in a pond with no supplementary feeding (MCF), in a Recirculating Aquaculture System (RAS) fed typical (30% of protein and 8% of fat) carp diet (AFC), and in a RAS fed high protein (42%) and fat (12%) diet (ABF). The analysis showed that ABF fish had the highest final body weight and the Fulton’s condition factor, as well as the lowest food conversion rate compared with AFC and MCF fish. Histomorphological assessment revealed that MCF fish had thinner skin layers, a depleted population of mucous cells in skin, an excessive interlamellar mass in the gills, and no supranuclear vacuoles in the intestine compared to fish from RAS. At the molecular level, higher transcript levels of il-1β and il-6 transcripts were found in the gills of MCF than in fish from RAS. The transcript level of the intestinal muc5b was the highest in ABF fish. Relative expression of il-1β and il-6 in gills were presumably the highest due to lamellar fusions in MCF fish. Described KPIs may assist carp production to ensure sustainability and food security in the European Union.
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