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Chen H, Pan T, Zheng X, Huang Y, Wu C, Yang T, Gao S, Wang L, Yan S. The ATR-WEE1 kinase module promotes SUPPRESSOR OF GAMMA RESPONSE 1 translation to activate replication stress responses. THE PLANT CELL 2023; 35:3021-3034. [PMID: 37159556 PMCID: PMC10396359 DOI: 10.1093/plcell/koad126] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/12/2022] [Revised: 04/25/2023] [Accepted: 04/26/2023] [Indexed: 05/11/2023]
Abstract
DNA replication stress threatens genome stability and is a hallmark of cancer in humans. The evolutionarily conserved kinases ATR (ATM and RAD3-related) and WEE1 are essential for the activation of replication stress responses. Translational control is an important mechanism that regulates gene expression, but its role in replication stress responses is largely unknown. Here we show that ATR-WEE1 control the translation of SUPPRESSOR OF GAMMA RESPONSE 1 (SOG1), a master transcription factor required for replication stress responses in Arabidopsis thaliana. Through genetic screening, we found that the loss of GENERAL CONTROL NONDEREPRESSIBLE 20 (GCN20) or GCN1, which function together to inhibit protein translation, suppressed the hypersensitivity of the atr or wee1 mutant to replication stress. Biochemically, WEE1 inhibits GCN20 by phosphorylating it; phosphorylated GCN20 is subsequently polyubiquitinated and degraded. Ribosome profiling experiments revealed that that loss of GCN20 enhanced the translation efficiency of SOG1, while overexpressing GCN20 had the opposite effect. The loss of SOG1 reduced the resistance of wee1 gcn20 to replication stress, whereas overexpressing SOG1 enhanced the resistance to atr or wee1 to replication stress. These results suggest that ATR-WEE1 inhibits GCN20-GCN1 activity to promote the translation of SOG1 during replication stress. These findings link translational control to replication stress responses in Arabidopsis.
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Affiliation(s)
- Hanchen Chen
- Hubei Hongshan Laboratory, Wuhan 430070, China
- College of Life Science and Technology, Huazhong Agricultural University, Wuhan 430070, China
- Shenzhen Institute of Nutrition and Health, Huazhong Agricultural University, Shenzhen 518000, China
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Shenzhen 518000, China
- Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518000, China
| | - Ting Pan
- Hubei Hongshan Laboratory, Wuhan 430070, China
- College of Life Science and Technology, Huazhong Agricultural University, Wuhan 430070, China
- Shenzhen Institute of Nutrition and Health, Huazhong Agricultural University, Shenzhen 518000, China
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Shenzhen 518000, China
- Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518000, China
| | - Xueao Zheng
- Hubei Hongshan Laboratory, Wuhan 430070, China
- College of Life Science and Technology, Huazhong Agricultural University, Wuhan 430070, China
- Shenzhen Institute of Nutrition and Health, Huazhong Agricultural University, Shenzhen 518000, China
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Shenzhen 518000, China
- Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518000, China
| | - Yongchi Huang
- Hubei Hongshan Laboratory, Wuhan 430070, China
- College of Life Science and Technology, Huazhong Agricultural University, Wuhan 430070, China
- Shenzhen Institute of Nutrition and Health, Huazhong Agricultural University, Shenzhen 518000, China
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Shenzhen 518000, China
- Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518000, China
| | - Chong Wu
- Hubei Hongshan Laboratory, Wuhan 430070, China
- College of Life Science and Technology, Huazhong Agricultural University, Wuhan 430070, China
- Shenzhen Institute of Nutrition and Health, Huazhong Agricultural University, Shenzhen 518000, China
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Shenzhen 518000, China
- Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518000, China
| | - Tongbin Yang
- Hubei Hongshan Laboratory, Wuhan 430070, China
- College of Life Science and Technology, Huazhong Agricultural University, Wuhan 430070, China
- Shenzhen Institute of Nutrition and Health, Huazhong Agricultural University, Shenzhen 518000, China
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Shenzhen 518000, China
- Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518000, China
| | - Shan Gao
- Hubei Hongshan Laboratory, Wuhan 430070, China
- College of Life Science and Technology, Huazhong Agricultural University, Wuhan 430070, China
- Shenzhen Institute of Nutrition and Health, Huazhong Agricultural University, Shenzhen 518000, China
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Shenzhen 518000, China
- Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518000, China
| | - Lili Wang
- Hubei Hongshan Laboratory, Wuhan 430070, China
- College of Life Science and Technology, Huazhong Agricultural University, Wuhan 430070, China
- Shenzhen Institute of Nutrition and Health, Huazhong Agricultural University, Shenzhen 518000, China
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Shenzhen 518000, China
- Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518000, China
| | - Shunping Yan
- Hubei Hongshan Laboratory, Wuhan 430070, China
- College of Life Science and Technology, Huazhong Agricultural University, Wuhan 430070, China
- Shenzhen Institute of Nutrition and Health, Huazhong Agricultural University, Shenzhen 518000, China
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Shenzhen 518000, China
- Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518000, China
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Fan R, Zhao F, Gong Z, Chen Y, Yang B, Zhou C, Zhang J, Du Z, Wang X, Yin P, Guo L, Liu Z. Insights into the mechanism of phospholipid hydrolysis by plant non-specific phospholipase C. Nat Commun 2023; 14:194. [PMID: 36635324 PMCID: PMC9837106 DOI: 10.1038/s41467-023-35915-4] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2022] [Accepted: 01/06/2023] [Indexed: 01/13/2023] Open
Abstract
Non-specific phospholipase C (NPC) hydrolyzes major membrane phospholipids to release diacylglycerol (DAG), a potent lipid-derived messenger regulating cell functions. Despite extensive studies on NPCs reveal their fundamental roles in plant growth and development, the mechanistic understanding of phospholipid-hydrolyzing by NPCs, remains largely unknown. Here we report the crystal structure of Arabidopsis NPC4 at a resolution of 2.1 Å. NPC4 is divided into a phosphoesterase domain (PD) and a C-terminal domain (CTD), and is structurally distinct from other characterized phospholipases. The previously uncharacterized CTD is indispensable for the full activity of NPC4. Mechanistically, CTD contributes NPC4 activity mainly via CTDα1-PD interaction, which ultimately stabilizes the catalytic pocket in PD. Together with a series of structure-guided biochemical studies, our work elucidates the structural basis and provides molecular mechanism of phospholipid hydrolysis by NPC4, and adds new insights into the members of phospholipase family.
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Affiliation(s)
- Ruyi Fan
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, 430070, China.,Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, 518124, China
| | - Fen Zhao
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, 430070, China
| | - Zhou Gong
- Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan, 430071, China
| | - Yanke Chen
- Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan, 430071, China
| | - Bao Yang
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, 430070, China
| | - Chen Zhou
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, 430070, China
| | - Jie Zhang
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, 430070, China
| | - Zhangmeng Du
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, 430070, China
| | - Xuemin Wang
- Department of Biology, University of Missouri, St. Louis, MO, 63121, USA.,Donald Danforth Plant Science Center, St. Louis, MO, 63132, USA
| | - Ping Yin
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, 430070, China
| | - Liang Guo
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, 430070, China.
| | - Zhu Liu
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, 430070, China. .,Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, 518124, China.
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Liu R, Long Y, Liu R, Song G, Li Q, Yan H, Cui Z. Understanding the Function and Mechanism of Zebrafish Tmem39b in Regulating Cold Resistance. Int J Mol Sci 2022; 23:ijms231911442. [PMID: 36232766 PMCID: PMC9569763 DOI: 10.3390/ijms231911442] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2022] [Revised: 09/17/2022] [Accepted: 09/18/2022] [Indexed: 11/22/2022] Open
Abstract
Autophagy and endoplasmic reticulum (ER) stress response are among the key pathways regulating cold resistance of fish through eliminating damaged cellular components and facilitating the restoration of cell homeostasis upon exposure to acute cold stress. The transmembrane protein 39A (TMEM39A) was reported to regulate both autophagy and ER stress response, but its vertebrate-specific paralog, the transmembrane protein 39B (TMEM39B), has not been characterized. In the current study, we generate tmem39b-knockout zebrafish lines and characterize their survival ability under acute cold stress. We observed that the dysfunction of Tmem39b remarkably decreased the cold resilience of both the larval and adult zebrafish. Gene transcription in the larvae exposed to cold stress and rewarming were characterized by RNA sequencing (RNA-seq) to explore the mechanisms underlying functions of Tmem39b in regulating cold resistance. The results indicate that the deficiency of Tmem39b attenuates the up-regulation of both cold- and rewarming-induced genes. The cold-induced transcription factor genes bif1.2, fosab, and egr1, and the rewarming-activated immune genes c3a.3, il11a, and sting1 are the representatives influenced by Tmem39b dysfunction. However, the loss of tmem39b has little effect on the transcription of the ER stress response- and autophagy-related genes. The measurements of the phosphorylated H2A histone family member X (at Ser 139, abbreviated as γH2AX) demonstrate that zebrafish Tmem39b protects the cells against DNA damage caused by exposure to the cold-warming stress and facilitates tissue damage repair during the recovery phase. The gene modules underlying the functions of Tmem39b in zebrafish are highly enriched in biological processes associated with immune response. The dysfunction of Tmem39b also attenuates the up-regulation of tissue C-reactive protein (CRP) content upon rewarming. Together, our data shed new light on the function and mechanism of Tmem39b in regulating the cold resistance of fish.
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Affiliation(s)
- Renyan Liu
- State Key Laboratory of Freshwater Ecology and Biotechnology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430072, China
- Guangdong Provincial Key Laboratory of Microbial Culture Collection and Application, State Key Laboratory of Applied Microbiology Southern China, Institute of Microbiology, Guangdong Academy of Sciences, Guangzhou 510070, China
- College of Advanced Agricultural Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Yong Long
- State Key Laboratory of Freshwater Ecology and Biotechnology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430072, China
- The Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing 100101, China
- Correspondence: (Y.L.); (Z.C.); Tel.: +86-27-68780100 (Y.L.); +86-27-68780090 (Z.C.)
| | - Ran Liu
- State Key Laboratory of Freshwater Ecology and Biotechnology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430072, China
- College of Fisheries and Life Science, Dalian Ocean University, Dalian 116023, China
| | - Guili Song
- State Key Laboratory of Freshwater Ecology and Biotechnology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430072, China
| | - Qing Li
- State Key Laboratory of Freshwater Ecology and Biotechnology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430072, China
| | - Huawei Yan
- Guangdong Provincial Key Laboratory of Microbial Culture Collection and Application, State Key Laboratory of Applied Microbiology Southern China, Institute of Microbiology, Guangdong Academy of Sciences, Guangzhou 510070, China
| | - Zongbin Cui
- State Key Laboratory of Freshwater Ecology and Biotechnology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430072, China
- Guangdong Provincial Key Laboratory of Microbial Culture Collection and Application, State Key Laboratory of Applied Microbiology Southern China, Institute of Microbiology, Guangdong Academy of Sciences, Guangzhou 510070, China
- The Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing 100101, China
- Correspondence: (Y.L.); (Z.C.); Tel.: +86-27-68780100 (Y.L.); +86-27-68780090 (Z.C.)
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Reid CH, Patrick PH, Rytwinski T, Taylor JJ, Willmore WG, Reesor B, Cooke SJ. An updated review of cold shock and cold stress in fish. JOURNAL OF FISH BIOLOGY 2022; 100:1102-1137. [PMID: 35285021 DOI: 10.1111/jfb.15037] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/13/2021] [Revised: 01/23/2022] [Accepted: 03/07/2022] [Indexed: 06/14/2023]
Abstract
Temperature is critical in regulating virtually all biological functions in fish. Low temperature stress (cold shock/stress) is an often-overlooked challenge that many fish face as a result of both natural events and anthropogenic activities. In this study, we present an updated review of the cold shock literature based on a comprehensive literature search, following an initial review on the subject by M.R. Donaldson and colleagues, published in a 2008 volume of this journal. We focus on how knowledge on cold shock and fish has evolved over the past decade, describing advances in the understanding of the generalized stress response in fish under cold stress, what metrics may be used to quantify cold stress and what knowledge gaps remain to be addressed in future research. We also describe the relevance of cold shock as it pertains to environmental managers, policymakers and industry professionals, including practical applications of cold shock. Although substantial progress has been made in addressing some of the knowledge gaps identified a decade ago, other topics (e.g., population-level effects and interactions between primary, secondary and tertiary stress responses) have received little or no attention despite their significance to fish biology and thermal stress. Approaches using combinations of primary, secondary and tertiary stress responses are crucial as a research priority to better understand the mechanisms underlying cold shock responses, from short-term physiological changes to individual- and population-level effects, thereby providing researchers with better means of quantifying cold shock in laboratory and field settings.
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Affiliation(s)
- Connor H Reid
- Fish Ecology and Conservation Physiology Laboratory, Department of Biology, Carleton University, Ottawa, Ontario, Canada
| | | | - Trina Rytwinski
- Fish Ecology and Conservation Physiology Laboratory, Department of Biology, Carleton University, Ottawa, Ontario, Canada
- Canadian Centre for Evidence-Based Conservation, Department of Biology and Institute of Environmental and Interdisciplinary Science, Carleton University, Ottawa, Ontario, Canada
| | - Jessica J Taylor
- Fish Ecology and Conservation Physiology Laboratory, Department of Biology, Carleton University, Ottawa, Ontario, Canada
- Canadian Centre for Evidence-Based Conservation, Department of Biology and Institute of Environmental and Interdisciplinary Science, Carleton University, Ottawa, Ontario, Canada
| | | | | | - Steven J Cooke
- Fish Ecology and Conservation Physiology Laboratory, Department of Biology, Carleton University, Ottawa, Ontario, Canada
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Iannetta AA, Hicks LM. Maximizing Depth of PTM Coverage: Generating Robust MS Datasets for Computational Prediction Modeling. Methods Mol Biol 2022; 2499:1-41. [PMID: 35696073 DOI: 10.1007/978-1-0716-2317-6_1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Post-translational modifications (PTMs) regulate complex biological processes through the modulation of protein activity, stability, and localization. Insights into the specific modification type and localization within a protein sequence can help ascertain functional significance. Computational models are increasingly demonstrated to offer a low-cost, high-throughput method for comprehensive PTM predictions. Algorithms are optimized using existing experimental PTM data, thus accurate prediction performance relies on the creation of robust datasets. Herein, advancements in mass spectrometry-based proteomics technologies to maximize PTM coverage are reviewed. Further, requisite experimental validation approaches for PTM predictions are explored to ensure that follow-up mechanistic studies are focused on accurate modification sites.
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Affiliation(s)
- Anthony A Iannetta
- Department of Chemistry, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Leslie M Hicks
- Department of Chemistry, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
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Sürmen MG, Sürmen S, Cansız D, Ünal İ, Üstündağ ÜV, Alturfan AA, Emekli-Alturfan E. Quantitative phosphoproteomics to resolve the cellular responses to octanoic acid in rotenone exposed zebrafish. J Food Biochem 2021; 45:e13923. [PMID: 34494670 DOI: 10.1111/jfbc.13923] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2021] [Revised: 07/29/2021] [Accepted: 08/20/2021] [Indexed: 01/02/2023]
Abstract
Ketosis is a potentially beneficial metabolic state for health especially in neurological conditions including Parkinson's disease (PD). Medium-chain-triglycerides (MCT) have specific metabolic properties and they are described as ketogenic even without restriction of carbohydrate. Octanoic acid (C8) is the main MCT showing this effect. Rotenone is a neurotoxin that is used to induce experimental PD model. Rotenone inhibits mitochondrial respiratory complex 1 (MRC1) and causes reactive oxygen species formation. Mass spectrometry (MS)-based phosphoproteomic methods enable discovering specific signaling events in special molecular pathways through identification and quantification of phosphoproteins. Signaling networks involved in rotenone-mediated biological processes and beneficial effects of MCTs on neurodegenerative diseases are not well understood. We aimed to gain comprehensive molecular perspective on the global phosphoproteome differences in rotenone-exposed zebrafish treated with octanoic acid. Raw files obtained from MS analysis were processed and searched against the Danio rerio protein database using SEQUEST-HT algorithm to identify and quantify phosphopeptides with 2,569 unique phosphoproteins and 4,161 unique phosphopeptides corresponding to 2005 proteins. Microtubule-associated protein (MAP) family members were significantly lower in rotenone group. Phosphoproteins involved in ion binding (calcium, magnesium, zinc ion), oxygen binding, microtubule binding, ATP- and GTP-binding were among differentially expressed 347 proteins in rotenone group and they were reversed after octanoic acid treatments. Phosphoproteins and phosphorylation sites were identified for future exploration of signaling pathways involved in rotenone toxicity. We believe our findings might help in the formulation of effective therapeutic strategies for the treatment of PD using ketogenic formulations involving MCTs. PRACTICAL APPLICATIONS: Ketosis is a potentially beneficial metabolic state for health especially in neurological conditions including Parkinson's disease (PD). Medium-chain-triglycerides (MCT) (C6-C12) have specific metabolic properties making them described as ketogenic even without restriction of carbohydrate. Octanoic acid (caprylic acid, C8) is the main MCT showing this effect. Our findings might help in the formulation of effective therapeutic strategies for the treatment of Parkinson's disease using ketogenic formulations involving Medium-chain-triglycerides.
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Affiliation(s)
- Mustafa Gani Sürmen
- Department of Molecular Medicine, Hamidiye Institute of Health Sciences, University of Health Sciences, Istanbul, Turkey
| | - Saime Sürmen
- Department of Molecular Medicine, Aziz Sancar Institute of Experimental Medicine, Istanbul University-Çapa, Istanbul, Turkey
| | - Derya Cansız
- Department of Biochemistry, Faculty of Medicine, Istanbul University-Cerrahpaşa, Istanbul, Turkey
| | - İsmail Ünal
- Department of Biochemistry, Institute of Health Sciences, Marmara University, Istanbul, Turkey
| | - Ünsal Veli Üstündağ
- Medical Biochemistry, Faculty of Medicine, Department Medipol University, Istanbul, Turkey
| | - Ahmet Ata Alturfan
- Department of Biochemistry, Faculty of Medicine, Istanbul University-Cerrahpaşa, Istanbul, Turkey
| | - Ebru Emekli-Alturfan
- Department of Basic Medical Sciences, Faculty of Dentistry, Marmara University, Istanbul, Turkey
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Characterization of Biological Pathways Regulating Acute Cold Resistance of Zebrafish. Int J Mol Sci 2021; 22:ijms22063028. [PMID: 33809683 PMCID: PMC8001686 DOI: 10.3390/ijms22063028] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2021] [Revised: 03/10/2021] [Accepted: 03/13/2021] [Indexed: 02/08/2023] Open
Abstract
Low temperature stress represents a major threat to the lives of both farmed and wild fish species. However, biological pathways determining the development of cold resistance in fish remain largely unknown. Zebrafish larvae at 96 hpf were exposed to lethal cold stress (10 °C) for different time periods to evaluate the adverse effects at organism, tissue and cell levels. Time series RNA sequencing (RNA-seq) experiments were performed to delineate the transcriptomic landscape of zebrafish larvae under cold stress and during the subsequent rewarming phase. The genes regulated by cold stress were characterized by progressively enhanced or decreased expression, whereas the genes associated with rewarming were characterized by rapid upregulation upon return to normal temperature (28 °C). Genes such as trib3, dusp5 and otud1 were identified as the representative molecular markers of cold-induced damages through network analysis. Biological pathways involved in cold stress responses were mined from the transcriptomic data and their functions in regulating cold resistance were validated using specific inhibitors. The autophagy, FoxO and MAPK (mitogen-activated protein kinase) signaling pathways were revealed to be survival pathways for enhancing cold resistance, while apoptosis and necroptosis were the death pathways responsible for cold-induced mortality. Functional mechanisms of the survival-enhancing factors Foxo1, ERK (extracellular signal-regulated kinase) and p38 MAPK were further characterized by inhibiting their activities upon cold stress and analyzing gene expression though RNA-seq. These factors were demonstrated to determine the cold resistance of zebrafish through regulating apoptosis and p53 signaling pathway. These findings have provided novel insights into the stress responses elicited by lethal cold and shed new light on the molecular mechanisms underlying cold resistance of fish.
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Long Y, Liu R, Song G, Li Q, Cui Z. Establishment and characterization of a cold-sensitive neural cell line from the brain of tilapia (Oreochromis niloticus). JOURNAL OF FISH BIOLOGY 2021; 98:842-854. [PMID: 33258111 DOI: 10.1111/jfb.14637] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/19/2020] [Revised: 10/19/2020] [Accepted: 11/27/2020] [Indexed: 06/12/2023]
Abstract
The aquaculture of tilapia (Oreochromis sp.) is adversely affected by the sensitivity to cold stress. A large number of genes in tilapia were found to be regulated by cold stress, but their functions and mechanisms in cold tolerance remain largely unknown, partially due to the lack of a suitable in vitro model. An immortal neural cell line designated as tilapia brain neural (TBN) was established from brain tissue of the genetically improved farmed tilapia strain of Nile tilapia (Oreochromis niloticus). The TBN cells show a neuron-like morphology at low density and form a fibroblast-like monolayer at high density. Transcriptome profiling through RNA-sequencing revealed that a total of 15,011 genes were expressed in the TBN cells. The TBN cells express a wide array of marker genes for neural cells. A comparative analysis of the featured genes among the 17 cell clusters isolated from the subventricular zone of mouse brain revealed the highest transcriptome similarity between the TBN cells and the transient amplifying progenitors (TAPs). The TBN cells tolerate relatively high culture temperatures, and the highest growth rate was observed for the cells cultured at 32°C compared with those at 30°C, 28°C and 26°C. Nonetheless, this cell line is cold sensitive. Exposure of the cells to 16°C or lower temperatures significantly decreased cell confluences and induced apoptosis. The TBN cells were more sensitive to cold stress than the ZF4 cells (embryonic zebrafish fibroblasts). Moreover, the TBN cells can be efficiently transfected through electroporation. This study provides an invaluable research tool to understand the nature of cold sensitivity of tilapia and to dissect the function and mechanism of genes in regulating cold tolerance of fish.
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Affiliation(s)
- Yong Long
- State Key Laboratory of Freshwater Ecology and Biotechnology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, China
| | - Ran Liu
- State Key Laboratory of Freshwater Ecology and Biotechnology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, China
- College of Fisheries and Life Science, Dalian Ocean University, Dalian, China
| | - Guili Song
- State Key Laboratory of Freshwater Ecology and Biotechnology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, China
| | - Qing Li
- State Key Laboratory of Freshwater Ecology and Biotechnology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, China
| | - Zongbin Cui
- State Key Laboratory of Freshwater Ecology and Biotechnology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, China
- State Key Laboratory of Applied Microbiology Southern China, Guangdong Institute of Microbiology, Guangdong Academy of Sciences, Guangzhou, China
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