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Zhou Z, Jiang Q, Zheng Y, Hao C, Ding S, Guo M, Zhao Y, Liu G, Miao S. Proteomics-Based Investigation of Different Live Prey Administered to Freshwater Dark Sleeper ( Odontobutis potamophila): Examining the Effects on Glycolipids and Energy Metabolism. Metabolites 2024; 14:85. [PMID: 38392977 PMCID: PMC10890520 DOI: 10.3390/metabo14020085] [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: 11/08/2023] [Revised: 12/26/2023] [Accepted: 12/28/2023] [Indexed: 02/25/2024] Open
Abstract
Live prey is characterized by balanced rich nutrients and high palatability and is widely used for the seedling cultivation of freshwater dark sleeper (Odontobutis potamophila) larvae. In this study, we evaluated the effects of four groups of paired feeding regimens (group C (Daphnia magna), group L (Limnodrilus hoffmeisteri), group H (Hypophthalmichthys molitrix fry), and group M (mixed groups C, L, and H)) on glycolipid and energy metabolism in O. potamophila larvae. We observed that fatty acid synthase (FAS) and sterol-regulatory-element-binding protein-1 (SREBP-1) mRNA levels were significantly lower in group H when compared to mRNA levels in the other three groups (p < 0.05) and that carnitine palmitoyltransferase 1α (CPT1-α) mRNA levels were significantly lower in group L when compared to group M (p < 0.05). Relative glucokinase (GK) expression levels were significantly lower in group M when compared to the other three groups (p < 0.05). Using proteomics, we analyzed and compared groups H and L and identified 457 differentially expressed proteins (DEPs), of which 151 were significantly up-regulated and 306 were significantly down-regulated. In the comparison of group M with groups C, L, and H, we found significant enrichment in glycolytic processes, the endoplasmic reticulum lumen, NAD binding, intermediate filaments, and nutrient reservoir activity. Our results provide a theoretical guidance for bait selection during larvae cultivation stages in carnivorous fish.
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Affiliation(s)
- Zihan Zhou
- College of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China
| | - Qichen Jiang
- Freshwater Fisheries Research Institute of Jiangsu Province, Nanjing 210017, China
- Low-Temperature Germplasm Bank of Important Economic Fish (Freshwater Fisheries Research Institute of Jiangsu Province) of Jiangsu Provincial Science and Technology Resources (Agricultural Germplasm Resources) Coordination Service Platform, Nanjing 210017, China
| | - You Zheng
- Freshwater Fisheries Research Institute of Jiangsu Province, Nanjing 210017, China
- Low-Temperature Germplasm Bank of Important Economic Fish (Freshwater Fisheries Research Institute of Jiangsu Province) of Jiangsu Provincial Science and Technology Resources (Agricultural Germplasm Resources) Coordination Service Platform, Nanjing 210017, China
| | - Chen Hao
- Freshwater Fisheries Research Institute of Jiangsu Province, Nanjing 210017, China
- Low-Temperature Germplasm Bank of Important Economic Fish (Freshwater Fisheries Research Institute of Jiangsu Province) of Jiangsu Provincial Science and Technology Resources (Agricultural Germplasm Resources) Coordination Service Platform, Nanjing 210017, China
| | - Shuyan Ding
- Freshwater Fisheries Research Institute of Jiangsu Province, Nanjing 210017, China
- Low-Temperature Germplasm Bank of Important Economic Fish (Freshwater Fisheries Research Institute of Jiangsu Province) of Jiangsu Provincial Science and Technology Resources (Agricultural Germplasm Resources) Coordination Service Platform, Nanjing 210017, China
| | - Mengya Guo
- College of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China
| | - Yunlong Zhao
- School of Life Science, East China Normal University, Shanghai 200241, China
| | - Guoxing Liu
- College of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China
- Freshwater Fisheries Research Institute of Jiangsu Province, Nanjing 210017, China
- Low-Temperature Germplasm Bank of Important Economic Fish (Freshwater Fisheries Research Institute of Jiangsu Province) of Jiangsu Provincial Science and Technology Resources (Agricultural Germplasm Resources) Coordination Service Platform, Nanjing 210017, China
| | - Shuyan Miao
- College of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China
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Bobrovskikh AV, Zubairova US, Doroshkov AV. Fishing Innate Immune System Properties through the Transcriptomic Single-Cell Data of Teleostei. BIOLOGY 2023; 12:1516. [PMID: 38132342 PMCID: PMC10740722 DOI: 10.3390/biology12121516] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/13/2023] [Revised: 11/20/2023] [Accepted: 11/22/2023] [Indexed: 12/23/2023]
Abstract
The innate immune system is the first line of defense in multicellular organisms. Danio rerio is widely considered a promising model for IIS-related research, with the most amount of scRNAseq data available among Teleostei. We summarized the scRNAseq and spatial transcriptomics experiments related to the IIS for zebrafish and other Teleostei from the GEO NCBI and the Single-Cell Expression Atlas. We found a considerable number of scRNAseq experiments at different stages of zebrafish development in organs such as the kidney, liver, stomach, heart, and brain. These datasets could be further used to conduct large-scale meta-analyses and to compare the IIS of zebrafish with the mammalian one. However, only a small number of scRNAseq datasets are available for other fish (turbot, salmon, cavefish, and dark sleeper). Since fish biology is very diverse, it would be a major mistake to use zebrafish alone in fish immunology studies. In particular, there is a special need for new scRNAseq experiments involving nonmodel Teleostei, e.g., long-lived species, cancer-resistant fish, and various fish ecotypes.
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Affiliation(s)
- Aleksandr V. Bobrovskikh
- Department of Physics, Novosibirsk State University, 630090 Novosibirsk, Russia
- The Federal Research Center Institute of Cytology and Genetics, Siberian Branch of the Russian Academy of Sciences, 630090 Novosibirsk, Russia; (U.S.Z.); (A.V.D.)
| | - Ulyana S. Zubairova
- The Federal Research Center Institute of Cytology and Genetics, Siberian Branch of the Russian Academy of Sciences, 630090 Novosibirsk, Russia; (U.S.Z.); (A.V.D.)
- Department of Information Technologies, Novosibirsk State University, 630090 Novosibirsk, Russia
| | - Alexey V. Doroshkov
- The Federal Research Center Institute of Cytology and Genetics, Siberian Branch of the Russian Academy of Sciences, 630090 Novosibirsk, Russia; (U.S.Z.); (A.V.D.)
- Department of Genomics and Bioinformatics, Institute of Fundamental Biology and Biotechnology, Siberian Federal University, 660036 Krasnoyarsk, Russia
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