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Jingtian Wang,Lei Fang,Qidi Wu,Dongdong Li,Zhongming Huo,Xiwu Yan 한국유전학회 2020 Genes & Genomics Vol.42 No.1
Introduction AMP-activated protein kinases (AMPK) are heterotrimeric complexes. The main upstream phosphorylase has AMP-dependent LKB1 and Ca2+-dependent CaMKK beta. AMPK also includes an auto-inhibitory domain and a region associated with beta and gamma subunits, which regulate a variety of cellular activities and energy metabolism. The increase in the ratio of AMP/ATP can stimulate the activation of AMPK. Once AMPK is activated, pathways to ATP consumption (e.g., fat, cholesterol, and protein synthesis) will be shut down. The pathway to ATP generation (e.g., oxidation of fat and glycolysis pathway) will be activated. AMPK genes have not been systematically characterized in marine invertebrates. Methods In this study, we identified and characterized three AMPK genes, AMPK-α, AMPK-β, and AMPK-γ, in the Manila clam (Ruditapes philippinarum). To gain insight into the role of AMPK genes during clam energy metabolism, quantitative real-time PCR was used to investigate the expression profiles in the different stages of clam development, in healthy adult tissues, and after air exposure at two different temperatures. Results Phylogenetic and protein structural analyses were conducted to determine the identity and evolutionary relationships of these genes. The structural features of the genes were relatively well-conserved, relative to the AMPK genes of other vertebrates. The expression of genes was significantly induced 3–48 h after air exposure. Conclusinon AMPK-α, AMPK-β and AMPK-γ are involved in clam energy metabolism. Increased expression levels of AMPK genes in the gill and intestine of Manila clam in response to air exposure implied a strong adaptability to the coastal environment.
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( Xingjuan Cai ),( Shaojin Geng ),( Penghong Wang ),( Lei Wang ),( Qidi Wu ) 한국인터넷정보학회 2019 KSII Transactions on Internet and Information Syst Vol.13 No.12
The information of localization is a fundamental requirement in wireless sensor network (WSN). The method of distance vector-hop (DV-Hop), a range-free localization algorithm, can locate the ordinary nodes by utilizing the connectivity and multi-hop transmission. However, the error of the estimated distance between the beacon nodes and ordinary nodes is too large. In order to enhance the positioning precision of DV-Hop, fast triangle flip bat algorithm, which is based on curve strategy and rank transformation (FTBA-TCR) is proposed. The rank is introduced to directly select individuals in the population of each generation, which arranges all individuals according to their merits and a threshold is set to get the better solution. To test the algorithm performance, the CEC2013 test suite is used to check out the algorithm’s performance. Meanwhile, there are four other algorithms are compared with the proposed algorithm. The results show that our algorithm is greater than other algorithms. And this algorithm is used to enhance the performance of DV-Hop algorithm. The results show that the proposed algorithm receives the lower average localization error and the best performance by comparing with the other algorithms.
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