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Zhao X, Huang S, Zhang P, Qiao X, Liu Y, Dong M, Yi Q, Wang L, Song L. A circadian clock protein cryptochrome inhibits the expression of inflammatory cytokines in Chinese mitten crab (Eriocheir sinensis). Int J Biol Macromol 2023; 253:126591. [PMID: 37659496 DOI: 10.1016/j.ijbiomac.2023.126591] [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] [Received: 06/14/2023] [Revised: 08/25/2023] [Accepted: 08/27/2023] [Indexed: 09/04/2023]
Abstract
Cryptochrome (Cry), as important flavoprotein, plays a key role in regulating the innate immune response, such as the release of inflammatory cytokines. In the present study, a cryptochrome homologue (EsCry) was identified from Chinese mitten crab Eriocheir sinensis, which contained a typical DNA photolyase domain, a FAD binding domain. The transcripts of EsCry were highly expressed at 11:00, and lowest at 3:00 within one day, while those of Interleukin enhancer binding factor (EsILF), Lipopolysaccharide-induced TNF-alpha factor (EsLITAF), Tumor necrosis factor (EsTNF) and Interleukin-16 (EsIL-16) showed a rhythm expression pattern contrary to EsCry. After EsCry was knocked down by dsEsCry injection, mRNA transcripts of Timeless (EsTim), Cycle (EsCyc), Circadian locomotor output cycles kaput (EsClock), Period (EsPer), and EsLITAF, EsTNF, EsILF, EsIL-16, as well as phosphorylation level of Dorsal significantly up-regulated. The transcripts of EsLITAF, EsTNF, EsILF, and EsIL-16 in EsCry-RNAi crabs significantly down-regulated after injection of NF-κB inhibitor. The interactions of EsCyc and EsCry, EsCyc and Dorsal were observed in vitro. These results indicated that EsCry negatively regulated the expression of the cytokine TNF and IL-16 via inhibiting their transcription factor LITAF and ILF through NF-κB signaling pathway, which provide evidences to better understand the circadian regulation mechanism of cytokine production in crabs.
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Affiliation(s)
- Xinyu Zhao
- Liaoning Key Laboratory of Marine Animal Immunology, Dalian Ocean University, Dalian 116023, China; Functional Laboratory of Marine Fisheries Science and Food Production Processes, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266235, China
| | - Shu Huang
- Liaoning Key Laboratory of Marine Animal Immunology, Dalian Ocean University, Dalian 116023, China; Southern Laboratory of Ocean Science and Engineering, Guangdong, Zhuhai 519000, China; Liaoning Key Laboratory of Marine Animal Immunology and Disease Control, Dalian Ocean University, Dalian 116023, China
| | - Peng Zhang
- Liaoning Key Laboratory of Marine Animal Immunology, Dalian Ocean University, Dalian 116023, China
| | - Xue Qiao
- Liaoning Key Laboratory of Marine Animal Immunology, Dalian Ocean University, Dalian 116023, China; Liaoning Key Laboratory of Marine Animal Immunology and Disease Control, Dalian Ocean University, Dalian 116023, China; Dalian Key Laboratory of Aquatic Animal Disease Prevention and Control, Dalian Ocean University, Dalian 116023, China
| | - Yu Liu
- Liaoning Key Laboratory of Marine Animal Immunology, Dalian Ocean University, Dalian 116023, China
| | - Miren Dong
- Liaoning Key Laboratory of Marine Animal Immunology, Dalian Ocean University, Dalian 116023, China
| | - Qilin Yi
- Liaoning Key Laboratory of Marine Animal Immunology, Dalian Ocean University, Dalian 116023, China
| | - Lingling Wang
- Liaoning Key Laboratory of Marine Animal Immunology, Dalian Ocean University, Dalian 116023, China; Functional Laboratory of Marine Fisheries Science and Food Production Processes, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266235, China; Southern Laboratory of Ocean Science and Engineering, Guangdong, Zhuhai 519000, China; Liaoning Key Laboratory of Marine Animal Immunology and Disease Control, Dalian Ocean University, Dalian 116023, China; Dalian Key Laboratory of Aquatic Animal Disease Prevention and Control, Dalian Ocean University, Dalian 116023, China.
| | - Linsheng Song
- Liaoning Key Laboratory of Marine Animal Immunology, Dalian Ocean University, Dalian 116023, China; Functional Laboratory of Marine Fisheries Science and Food Production Processes, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266235, China; Southern Laboratory of Ocean Science and Engineering, Guangdong, Zhuhai 519000, China; Liaoning Key Laboratory of Marine Animal Immunology and Disease Control, Dalian Ocean University, Dalian 116023, China; Dalian Key Laboratory of Aquatic Animal Disease Prevention and Control, Dalian Ocean University, Dalian 116023, China.
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Bolton CM, Bekaert M, Eilertsen M, Helvik JV, Migaud H. Rhythmic Clock Gene Expression in Atlantic Salmon Parr Brain. Front Physiol 2021; 12:761109. [PMID: 34925060 PMCID: PMC8674837 DOI: 10.3389/fphys.2021.761109] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2021] [Accepted: 11/09/2021] [Indexed: 12/28/2022] Open
Abstract
To better understand the complexity of clock genes in salmonids, a taxon with an additional whole genome duplication, an analysis was performed to identify and classify gene family members (clock, arntl, period, cryptochrome, nr1d, ror, and csnk1). The majority of clock genes, in zebrafish and Northern pike, appeared to be duplicated. In comparison to the 29 clock genes described in zebrafish, 48 clock genes were discovered in salmonid species. There was also evidence of species-specific reciprocal gene losses conserved to the Oncorhynchus sister clade. From the six period genes identified three were highly significantly rhythmic, and circadian in their expression patterns (per1a.1, per1a.2, per1b) and two was significantly rhythmically expressed (per2a, per2b). The transcriptomic study of juvenile Atlantic salmon (parr) brain tissues confirmed gene identification and revealed that there were 2,864 rhythmically expressed genes (p < 0.001), including 1,215 genes with a circadian expression pattern, of which 11 were clock genes. The majority of circadian expressed genes peaked 2 h before and after daylight. These findings provide a foundation for further research into the function of clock genes circadian rhythmicity and the role of an enriched number of clock genes relating to seasonal driven life history in salmonids.
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Affiliation(s)
- Charlotte M Bolton
- Institute of Aquaculture, University of Stirling, Stirling, United Kingdom
| | - Michaël Bekaert
- Institute of Aquaculture, University of Stirling, Stirling, United Kingdom
| | - Mariann Eilertsen
- Department of Biological Sciences, University of Bergen, Bergen, Norway
| | - Jon Vidar Helvik
- Department of Biological Sciences, University of Bergen, Bergen, Norway
| | - Herve Migaud
- Institute of Aquaculture, University of Stirling, Stirling, United Kingdom
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Moreno JM, Jesus TF, Coelho MM, Sousa VC. Adaptation and convergence in circadian-related genes in Iberian freshwater fish. BMC Ecol Evol 2021; 21:38. [PMID: 33685402 PMCID: PMC7941933 DOI: 10.1186/s12862-021-01767-z] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2020] [Accepted: 02/16/2021] [Indexed: 02/08/2023] Open
Abstract
BACKGROUND The circadian clock is a biological timing system that improves the ability of organisms to deal with environmental fluctuations. At the molecular level it consists of a network of transcription-translation feedback loops, involving genes that activate (bmal and clock - positive loop) and repress expression (cryptochrome (cry) and period (per) - negative loop). This is regulated by daily alternations of light but can also be affected by temperature. Fish, as ectothermic, depend on the environmental temperature and thus are good models to study its integration within the circadian system. Here, we studied the molecular evolution of circadian genes in four Squalius freshwater fish species, distributed across Western Iberian rivers affected by two climatic types with different environmental conditions (e.g., light and temperature). S. carolitertii and S. pyrenaicus inhabit the colder northern region under Atlantic climate type, while S. torgalensis, S. aradensis and some populations of S. pyrenaicus inhabit the warmer southern region affected by summer droughts, under Mediterranean climate type. RESULTS We identified 16 circadian-core genes in the Squalius species using a comparative transcriptomics approach. We detected evidence of positive selection in 12 of these genes using methods based on dN/dS. Positive selection was mainly found in cry and per genes of the negative loop, with 55 putatively adaptive substitutions, 16 located on protein domains. Evidence for positive selection is predominant in southern populations affected by the Mediterranean climate type. By predicting protein features we found that changes at sites under positive selection can impact protein thermostability by changing their aliphatic index and isoelectric point. Additionally, in nine genes, the phylogenetic clustering of species that belong to different clades but inhabit southern basins with similar environmental conditions indicated evolutionary convergence. We found evidence for increased nonsynonymous substitution rate in convergent lineages, likely due to positive selection at 27 sites, mostly in cry genes. CONCLUSIONS Our results support that temperature may be a selective pressure driving the evolution of genes involved in the circadian system. By integrating sequence-based functional protein prediction with dN/dS-based methods to detect selection we uncovered adaptive convergence in the southern populations, probably related to their similar thermal conditions.
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Affiliation(s)
- João M Moreno
- cE3c - Centre for Ecology, Evolution and Environmental Changes, Faculdade de Ciências, Universidade de Lisboa, Campo Grande, 1749-016, Lisboa, Portugal
| | - Tiago F Jesus
- cE3c - Centre for Ecology, Evolution and Environmental Changes, Faculdade de Ciências, Universidade de Lisboa, Campo Grande, 1749-016, Lisboa, Portugal
| | - Maria M Coelho
- cE3c - Centre for Ecology, Evolution and Environmental Changes, Faculdade de Ciências, Universidade de Lisboa, Campo Grande, 1749-016, Lisboa, Portugal
| | - Vitor C Sousa
- cE3c - Centre for Ecology, Evolution and Environmental Changes, Faculdade de Ciências, Universidade de Lisboa, Campo Grande, 1749-016, Lisboa, Portugal.
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