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Qian Wang,Yingxia Yang,Guoqing Lu,Xianjun Sun,Youren Feng,Shuangyong Yan,Huiyuan Zhang,Qiyan Jiang,Hui Zhang,Zheng Hu,Rui Chen 한국유전학회 2020 Genes & Genomics Vol.42 No.11
Background Salinity stress, as the key limiting factor for agricultural productivity, can activate a series of molecular responses and alter gene expression in plants. Endogenous regulatory small RNAs, such as microRNAs (miRNAs) and phased siRNAs (phasiRNAs), play crucial roles during stress adaptation and prevent the injury from environmental circumstances. Objective To identify long-term salt stress responsive miRNAs and phasiRNAs as well as their associated genes and pathways in soybean roots. Methods Small RNA and degradome sequencing strategies were applied to genome widely investigate miRNAs and phasiRNAs in soybean roots under control and long-term salt stress conditions. Results In this study, stringent bioinformatic analysis led to the identifcation of 253 conserved and 38 novel miRNA candidates. Results of expression profling, target and endogenous target mimics predictions provided valuable clues to their functional roles. Furthermore, 156 genes were identifed to be capable of generating 21 nt and 24 nt phasiRNAs, in which 37 candidates were confrmed by degradome data for miRNA-directed cleavage. Approximately 90% of these phasiRNA loci were protein coding genes. And GO enrichment analysis pointed to “signal transduction” and “ADP binding” entries and refected the functional roles of identifed phasiRNA genes. Conclusion Taken together, our fndings extended the knowledge of salt responsive miRNAs and phasiRNAs in soybean roots, and provided valuable information for a better understanding of the regulatory events caused by small RNAs underlying plant adaptations to long-term salt stress.
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Dynamics Modeling and Simulation Analysis for Wood High-speed Motorized Spindle
Wei Zhang,Shuangyong Wang,Yang Zhang,Hailong He,Pengfei Zhang 보안공학연구지원센터 2016 International Journal of Signal Processing, Image Vol.9 No.1
In this paper, considering the main factor in the high-speed processing, including the mass of the spindle, the offset of the centroid, bearing span, bearing stiffness and spindle speed , a dynamic model of the spindle-bearing system is established. After carrying out a simulation by Matlab, vibration curve of the spindle-bearing system is obtained, and influence on the vibration characteristics of the spindle bearing system by the centroid offset is analyzed. These works provide the basis for further studies on the vibration mechanism of the high-speed motorized spindle.
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