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Zhu C, Liu G, Gu X, Yin J, Xia A, Han M, Zhang T, Jiang Q. Effect of quercetin on muscle growth and antioxidant status of the dark sleeper Odontobutis potamophila. Front Genet 2022; 13:938526. [PMID: 35957695 PMCID: PMC9358148 DOI: 10.3389/fgene.2022.938526] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2022] [Accepted: 06/30/2022] [Indexed: 11/13/2022] Open
Abstract
Quercetin is a flavanol beneficial in reducing fat, promoting muscle growth, and Anti-oxidation. To study its effects in freshwater fish, the full-length cDNA of the follistatin (FST) and myostatin (MSTN) genes of the dark sleeper Odontobutis potamophila were cloned for the first time. Juvenile individual O. potamophila was exposed to quercetin at one of four concentrations (0, 2.5, 5, and 10 mg/L) for 21 days. The expression level of MSTN which inhibits muscle growth in the quercetin solution was lower than in the unexposed control group. The genes that promote muscle growth are in TGF-β superfamily like FST, TGF-β1 (transforming growth factor-beta 1), and Myogenic regulatory factors (MRFs) like Myf5 (myogenic factor 5), MyoD (myogenic differentiation), MyoG (myogenin), were higher than in the control group. Apolipoprotein and growth hormone receptor transcription levels in the quercetin-treated fish were significantly lower than in the control group. The concentrations of triglyceride, low-density lipoprotein cholesterol, and high-density lipoprotein cholesterol in the muscle tissue decreased, and the lipid-lowering function of quercetin was also demonstrated at the biochemical level. In this study, we analyzed the mRNA levels of AKT, Keap1 (kelch-like ECH-associated protein 1), Nrf2 (NF-E2-related factor 2) oxidation-related genes in the Nrf2/ARE antioxidant pathway, and Malondialdehyde (MDA), catalase (CAT) activity and glutathione (GSH) content in the hepatopancreas of O. potamophila after quercetin treatment, the mRNA expression of AKT, Nrf2 and CAT activity and GSH content are higher than in the control group. Quercetin enhances antioxidant properties and positively affects muscle growth. The results showed that quercetin has no significant effects on the growth performance of O. potamophila, but is effective in increasing muscle growth rate and lowering muscle fat content.
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Affiliation(s)
- Chenxi Zhu
- Freshwater Fisheries Research Institute of Jiangsu Province, Nanjing, China
| | - Guoxing Liu
- Freshwater Fisheries Research Institute of Jiangsu Province, Nanjing, China
- College of Animal Science and Technology, Yangzhou University, Yangzhou, China
| | - Xiankun Gu
- Freshwater Fisheries Research Institute of Jiangsu Province, Nanjing, China
- The Lowtemperature Germplasm Bank of Important Economic Fish of Jiangsu Provincial Science and TechnologyResources (Agricultural Germplasm Resources) Coordination Service Platform, Freshwater Fisheries Research Institute of JiangsuProvince, NanjingChina
| | - Jiawen Yin
- Freshwater Fisheries Research Institute of Jiangsu Province, Nanjing, China
- The Lowtemperature Germplasm Bank of Important Economic Fish of Jiangsu Provincial Science and TechnologyResources (Agricultural Germplasm Resources) Coordination Service Platform, Freshwater Fisheries Research Institute of JiangsuProvince, NanjingChina
| | - Aijun Xia
- Freshwater Fisheries Research Institute of Jiangsu Province, Nanjing, China
- The Lowtemperature Germplasm Bank of Important Economic Fish of Jiangsu Provincial Science and TechnologyResources (Agricultural Germplasm Resources) Coordination Service Platform, Freshwater Fisheries Research Institute of JiangsuProvince, NanjingChina
| | - Mingming Han
- Biology Program, School of Distance Education, Universiti Sains Malaysia, Minden, Malaysia
| | - Tongqing Zhang
- Freshwater Fisheries Research Institute of Jiangsu Province, Nanjing, China
- The Lowtemperature Germplasm Bank of Important Economic Fish of Jiangsu Provincial Science and TechnologyResources (Agricultural Germplasm Resources) Coordination Service Platform, Freshwater Fisheries Research Institute of JiangsuProvince, NanjingChina
| | - Qichen Jiang
- Freshwater Fisheries Research Institute of Jiangsu Province, Nanjing, China
- The Lowtemperature Germplasm Bank of Important Economic Fish of Jiangsu Provincial Science and TechnologyResources (Agricultural Germplasm Resources) Coordination Service Platform, Freshwater Fisheries Research Institute of JiangsuProvince, NanjingChina
- *Correspondence: Qichen Jiang,
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Jia Y, Zheng J, Liu S, Li F, Chi M, Cheng S, Gu Z. A Chromosome-Level Genome Assembly of the Dark Sleeper Odontobutis potamophila. Genome Biol Evol 2021; 13:6134080. [PMID: 33576781 PMCID: PMC7883661 DOI: 10.1093/gbe/evaa271] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/22/2020] [Indexed: 01/20/2023] Open
Abstract
The dark sleeper, Odontobutis potamophila, is a commercially valuable fish that widely distributed in China and Southeast Asia countries. The phenomenon of sexual dimorphism in growth is conspicuous, which the males grow substantially larger and faster than the females. However, the high-quality genome resources for gaining insight into sex-determining mechanisms to develop sex-control breeding are still lacking. Here, a chromosomal-level genome assembly of O. potamophila was generated from a combination of Illumina reads, 10× Genomics sequencing, and Hi-C chromatin interaction sequencing. The assembled genome was 1,134.62 Mb with a contig N50 of 22.25 Mb and a scaffold N50 of 24.85 Mb, representing 94.4% completeness (Benchmarking Universal Single-Copy Orthologs). Using Hi-C data, 96.49% of the total contig bases were anchored to the 22 chromosomes, with a contig N50 of 22.25 Mb and a scaffold N50 of 47.68 Mb. Approximately 54.18% of the genome were identified as repetitive elements, and 23,923 protein-coding genes were annotated in the genome. The assembled genome can be used as a valuable resource for molecular breeding and functional studies of O. potamophila in the future.
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Affiliation(s)
- Yongyi Jia
- Key Laboratory of Genetics and Breeding, Zhejiang Institute of Freshwater Fisheries, Huzhou, China
| | - Jianbo Zheng
- Key Laboratory of Genetics and Breeding, Zhejiang Institute of Freshwater Fisheries, Huzhou, China
| | - Shili Liu
- Key Laboratory of Genetics and Breeding, Zhejiang Institute of Freshwater Fisheries, Huzhou, China
| | - Fei Li
- Key Laboratory of Genetics and Breeding, Zhejiang Institute of Freshwater Fisheries, Huzhou, China
| | - Meili Chi
- Key Laboratory of Genetics and Breeding, Zhejiang Institute of Freshwater Fisheries, Huzhou, China
| | - Shun Cheng
- Key Laboratory of Genetics and Breeding, Zhejiang Institute of Freshwater Fisheries, Huzhou, China
| | - Zhimi Gu
- Key Laboratory of Genetics and Breeding, Zhejiang Institute of Freshwater Fisheries, Huzhou, China
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Wang T, Zhu W, Zhang H, Wen X, Yin S, Jia Y. Integrated analysis of proteomics and metabolomics reveals the potential sex determination mechanism in Odontobutis potamophila. J Proteomics 2019; 208:103482. [PMID: 31401171 DOI: 10.1016/j.jprot.2019.103482] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2019] [Revised: 07/28/2019] [Accepted: 08/05/2019] [Indexed: 02/06/2023]
Abstract
Odontobutis potamophila is a valuable species for aquaculture in China, which shows asexually dimorphic growth pattern. In this study, the integrated proteomics and metabolomics were used to analyze the sex determination mechanism. A total of 2781 significantly different regulated proteins were identified by proteomics and 2693 significantly different expressed metabolites were identified by metabolomics. Among them, 2560 proteins and 1701 metabolites were significantly up-regulated in testes, whereas 221 proteins and 992 metabolites were significantly up-regulated in ovaries. Venn diagram analysis showed 513 proteins were differentially regulated at both protein and metabolite levels. Correlation analysis of differentially-regulated proteins and metabolites were identified by Gene Ontology annotation and Kyoto Encyclopedia of Genes and Genomes pathway analysis. The results showed lipid metabolism plays an important role in sex determination. The metabolites decanoyl-CoA, leukotriene, 3-dehydrosphinganine, and arachidonate were the biomarkers in testes, whereas estrone and taurocholate were the biomarkers in ovaries. Interaction networks of the significant differentially co-regulated proteins and metabolites in the process of lipid metabolism showed arachidonic acid metabolism and steroid hormone biosynthesis were the most important pathways in sex determination. The findings of this study provide valuable information for selective breeding of O. potamophila. SIGNIFICANCE OF THE STUDY: The male O. potamophila grows substantially larger and at a quicker rate than the female. Thus, males have greater economic value than females. However, limited research was done to analyze the sex determination mechanism of O. potamophila, which seriously hindered the development of whole-male O. potamophila breeding. In this study, four key proteins (Ctnnb1, Piwil1, Hsd17b1, and Dnali1), six most important biomarkers (decanoyl-CoA, leukotriene, 3-dehydrosphinganine, arachidonate, estrone, and taurocholate) and two key pathways (arachidonic acid metabolism and steroid hormone biosynthesis) in sex determination of O. potamophila were found by integrated application of iTRAQ and LC-MS techniques. The results give valuable information for molecular breeding of O. potamophila in aquaculture.
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Affiliation(s)
- Tao Wang
- College of Marine Science and Engineering, Nanjing Normal University, Nanjing, Jiangsu 210023, China; Co-Innovation Center for Marine Bio-Industry Technology of Jiangsu Province, Lianyungang, Jiangsu 222005, China
| | - Wenxu Zhu
- College of Marine Science and Engineering, Nanjing Normal University, Nanjing, Jiangsu 210023, China; Co-Innovation Center for Marine Bio-Industry Technology of Jiangsu Province, Lianyungang, Jiangsu 222005, China
| | - Hongyan Zhang
- College of Marine Science and Engineering, Nanjing Normal University, Nanjing, Jiangsu 210023, China; Co-Innovation Center for Marine Bio-Industry Technology of Jiangsu Province, Lianyungang, Jiangsu 222005, China
| | - Xin Wen
- College of Marine Science and Engineering, Nanjing Normal University, Nanjing, Jiangsu 210023, China; Co-Innovation Center for Marine Bio-Industry Technology of Jiangsu Province, Lianyungang, Jiangsu 222005, China
| | - Shaowu Yin
- College of Marine Science and Engineering, Nanjing Normal University, Nanjing, Jiangsu 210023, China; Co-Innovation Center for Marine Bio-Industry Technology of Jiangsu Province, Lianyungang, Jiangsu 222005, China.
| | - Yongyi Jia
- Zhejiang Institute of Freshwater Fisheries, Huzhou 313001, China.
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