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Yi Q, Xi Y, Li J, Wu Z, Ma Y, Jiang Y, Yang D, Huang S. The interaction between 20-hydroxyecdysone and AMPK through PI3K activation in Chinese mitten crab, Eriocheir sinensis. DEVELOPMENTAL AND COMPARATIVE IMMUNOLOGY 2024; 157:105194. [PMID: 38754572 DOI: 10.1016/j.dci.2024.105194] [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: 04/15/2024] [Revised: 05/10/2024] [Accepted: 05/13/2024] [Indexed: 05/18/2024]
Abstract
In crustaceans, the steroid hormone 20-hydroxyecdysone (20E) initiates molting, and the molting process is also regulated by energy metabolism. AMPK is an energy sensor and plays a critical role in systemic energy balance. Here, the regulatory mechanism in the interaction between 20E and AMPK was investigated in Chinese mitten crab, Eriocheir sinensis. The results showed that the 20E concentration and the mRNA expression levels of 20E receptors in hepatopancreas were down-regulated post AMPK activator (AICAR) treatment, and were up-regulated after AMPK inhibitor (Compound C) injection in crabs. Besides, the molt-inhibiting hormone (MIH) gene expression in eyestalk showed the opposite patterns in response to the AICAR and Compound C treatment, respectively. Further investigation found that there was a significant reduction in 20E concentration post PI3K inhibitor (LY294002) treatment, and the phosphorylation level of PI3K was increased in hepatopancreas after AMPK inhibitor injection. On the other hand, the positive regulation of PI3K-mediated activation of AMPK was also observed, the phosphorylation levels of AMPKα, AMPKβ and PI3K in hepatopancreas were significantly increased post 20E injection. In addition, the phosphorylation levels of AMPKα and AMPKβ induced by 20E were decreased after the injection of PI3K inhibitor. Taken together, these results suggest that the regulatory cross-talk between 20E and AMPK is likely to act through PI3K pathway in E. sinensis, which appeared to be helpful for a better understanding in molting regulation.
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Affiliation(s)
- Qilin Yi
- College of Aquaculture and Life Science, Dalian Ocean University, Dalian, 11026, China
| | - Yuting Xi
- College of Aquaculture and Life Science, Dalian Ocean University, Dalian, 11026, China
| | - Jialin Li
- College of Aquaculture and Life Science, Dalian Ocean University, Dalian, 11026, China
| | - Zihao Wu
- College of Aquaculture and Life Science, Dalian Ocean University, Dalian, 11026, China
| | - Yuhan Ma
- College of Aquaculture and Life Science, Dalian Ocean University, Dalian, 11026, China
| | - Yusheng Jiang
- College of Aquaculture and Life Science, Dalian Ocean University, Dalian, 11026, China; Dalian Key Laboratory of Breeding, Reproduction and Aquaculture of Crustaceans, Dalian, 116023, China
| | - Dazuo Yang
- College of Aquaculture and Life Science, Dalian Ocean University, Dalian, 11026, China; Key Laboratory of Marine Bio-Resources Restoration and Habitat Reparation in Liaoning Province, Dalian Ocean University, Dalian, 116023, China
| | - Shu Huang
- College of Aquaculture and Life Science, Dalian Ocean University, Dalian, 11026, China; Key Laboratory of Marine Bio-Resources Restoration and Habitat Reparation in Liaoning Province, Dalian Ocean University, Dalian, 116023, China; Dalian Key Laboratory of Breeding, Reproduction and Aquaculture of Crustaceans, Dalian, 116023, China.
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Luo LL, Lin Y, Linghu JH, Gong W, Luo YH, Liu M, Jin DC, Smagghe G, Liu TX, Gui SH, Yi TC. Genomics, transcriptomics, and peptidomics of the greater wax moth Galleria mellonella neuropeptides and their expression in response to lead stress. INSECT SCIENCE 2024; 31:773-791. [PMID: 37689966 DOI: 10.1111/1744-7917.13264] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/07/2023] [Revised: 07/05/2023] [Accepted: 07/10/2023] [Indexed: 09/11/2023]
Abstract
Neuropeptides are crucial in regulation of a rich variety of developmental, physiological, and behavioral functions throughout the life cycle of insects. Using an integrated approach of multiomics, we identified neuropeptide precursors in the greater wax moth Galleria mellonella, which is a harmful pest of honeybee hives with a worldwide distribution. Here, a total of 63 and 67 neuropeptide precursors were predicted and annotated in the G. mellonella genome and transcriptome, in which 40 neuropeptide precursors were confirmed in the G. mellonella peptidome. Interestingly, we identified 12 neuropeptide precursor genes present in G. mellonella but absent in honeybees, which may be potential novel pesticide target sites. Honeybee hives were contaminated with heavy metals such as lead, enabling its bioaccumulation in G. mellonella bodies through the food chain, we performed transcriptome sequencing to analyze the effects of Pb stress on the mRNA expression level of G. mellonella neuropeptide precursors. After treatment by Pb, the expression of neuropeptide F1 was found to be significantly downregulated, implying that this neuropeptide might be associated with responding to the heavy metal stress in G. mellonella. This study comprehensively identified neuropeptide precursors in G. mellonella, and discussed the effects of heavy metals on insect neuropeptides, with the example of G. mellonella. The results are valuable for future elucidation of how neuropeptides regulate physiological functions in G. mellonella and contribute to our understanding of the insect's environmental plasticity and identify potential new biomarkers to assess heavy metal toxicity in insects.
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Affiliation(s)
- Li-Lin Luo
- Guizhou Provincial Key Laboratory for Agricultural Pest Management of the Mountainous Region, Institute of Entomology, Guizhou University, Guiyang, Guizhou, China
- Guizhou Institute of Biology, Guizhou Academy of Sciences, Guiyang, China
| | - Yang Lin
- Guizhou Provincial Key Laboratory for Agricultural Pest Management of the Mountainous Region, Institute of Entomology, Guizhou University, Guiyang, Guizhou, China
| | - Jun-Hong Linghu
- Guizhou Provincial Key Laboratory for Agricultural Pest Management of the Mountainous Region, Institute of Entomology, Guizhou University, Guiyang, Guizhou, China
| | - Wei Gong
- Guizhou Provincial Key Laboratory for Agricultural Pest Management of the Mountainous Region, Institute of Entomology, Guizhou University, Guiyang, Guizhou, China
| | - Yuan-Hong Luo
- Guizhou Provincial Key Laboratory for Agricultural Pest Management of the Mountainous Region, Institute of Entomology, Guizhou University, Guiyang, Guizhou, China
| | - Man Liu
- Guizhou Institute of Biology, Guizhou Academy of Sciences, Guiyang, China
| | - Dao-Chao Jin
- Guizhou Provincial Key Laboratory for Agricultural Pest Management of the Mountainous Region, Institute of Entomology, Guizhou University, Guiyang, Guizhou, China
| | - Guy Smagghe
- Guizhou Provincial Key Laboratory for Agricultural Pest Management of the Mountainous Region, Institute of Entomology, Guizhou University, Guiyang, Guizhou, China
| | - Tong-Xian Liu
- Guizhou Provincial Key Laboratory for Agricultural Pest Management of the Mountainous Region, Institute of Entomology, Guizhou University, Guiyang, Guizhou, China
- Institute of Plant Health and Medicine, Guizhou University, Guiyang, China
| | - Shun-Hua Gui
- Guizhou Provincial Key Laboratory for Agricultural Pest Management of the Mountainous Region, Institute of Entomology, Guizhou University, Guiyang, Guizhou, China
- Institute of Plant Health and Medicine, Guizhou University, Guiyang, China
| | - Tian-Ci Yi
- Guizhou Provincial Key Laboratory for Agricultural Pest Management of the Mountainous Region, Institute of Entomology, Guizhou University, Guiyang, Guizhou, China
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Insects as a New Complex Model in Hormonal Basis of Obesity. Int J Mol Sci 2021; 22:ijms222011066. [PMID: 34681728 PMCID: PMC8540125 DOI: 10.3390/ijms222011066] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2021] [Revised: 10/07/2021] [Accepted: 10/09/2021] [Indexed: 11/30/2022] Open
Abstract
Nowadays, one of the biggest problems in healthcare is an obesity epidemic. Consumption of cheap and low-quality energy-rich diets, low physical activity, and sedentary work favor an increase in the number of obesity cases within many populations/nations. This is a burden on society, public health, and the economy with many deleterious consequences. Thus, studies concerning this disorder are extremely needed, including searching for new, effective, and fitting models. Obesity may be related, among other factors, to disrupting adipocytes activity, disturbance of metabolic homeostasis, dysregulation of hormonal balance, cardiovascular problems, or disorders in nutrition which may lead to death. Because of the high complexity of obesity, it is not easy to find an ideal model for its studies which will be suitable for genetic and physiological analysis including specification of different compounds’ (hormones, neuropeptides) functions, as well as for signaling pathways analysis. In recent times, in search of new models for human diseases there has been more and more attention paid to insects, especially in neuro-endocrine regulation. It seems that this group of animals might also be a new model for human obesity. There are many arguments that insects are a good, multidirectional, and complex model for this disease. For example, insect models can have similar conservative signaling pathways (e.g., JAK-STAT signaling pathway), the presence of similar hormonal axis (e.g., brain–gut axis), or occurrence of structural and functional homologues between neuropeptides (e.g., neuropeptide F and human neuropeptide Y, insulin-like peptides, and human insulin) compared to humans. Here we give a hint to use insects as a model for obesity that can be used in multiple ways: as a source of genetic and peptidomic data about etiology and development correlated with obesity occurrence as well as a model for novel hormonal-based drug activity and their impact on mechanism of disease occurrence.
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