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      • KCI등재

        Genomics and LC-MS Reveal Diverse Active Secondary Metabolites in Bacillus amyloliquefaciens WS-8

        Hongwei Liu,Yana Wang,Qingxia Yang,Wenya Zhao,Liting Cui,Buqing Wang,Liping Zhang,Huicai Cheng,Shuishan Song,Liping Zhang 한국미생물·생명공학회 2020 Journal of microbiology and biotechnology Vol.30 No.3

        Bacillus amyloliquefaciens is an important plant disease-preventing and growth-promoting microorganism. B. amyloliquefaciens WS-8 can stimulate plant growth and has strong antifungal properties. In this study, we sequenced the complete genome of B. amyloliquefaciens WS-8 by Pacific Biosciences RSII (PacBio) Single Molecule Real-Time (SMRT) sequencing. The genome consists of one chromosome (3,929,787 bp) and no additional plasmids. The main bacteriostatic substances were determined by genome, transcriptome, and mass spectrometry data. We thereby laid a theoretical foundation for the utilization of the strain. By genomic analysis, we identified 19 putative biosynthetic gene clusters for secondary metabolites, most of which are potentially involved in the biosynthesis of numerous bioactive metabolites, including difficidin, fengycin, and surfactin. Furthermore, a potential class II lanthipeptide biosynthetic gene cluster and genes that are involved in auxin biosynthesis were found. Through the analysis of transcriptome data, we found that the key bacteriostatic genes, as predicted in the genome, exhibited different levels of mRNA expression. Through metabolite isolation, purification, and exposure experiments, we found that a variety of metabolites of WS-8 exert an inhibitory effect on the necrotrophic fungus Botrytis cinerea, which causes gray mold; by mass spectrometry, we found that the main substances are mainly iturins and fengycins. Therefore, this strain has the potential to be utilized as an antifungal agent in agriculture.

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        Integral Sliding Mode Control of a Bilateral Teleoperation System based on Extended State Observers

        Ling Zhao,Hao Zhang,Yana Yang,Hongjiu Yang 제어·로봇·시스템학회 2017 International Journal of Control, Automation, and Vol.15 No.5

        A novel control scheme has been proposed to solve the synchronization control problem for a nonlinearbilateral teleoperation system with time delays in this paper. An extended state observer is introduced to deal withthe lumped system uncertainties. Both fast convergence rate and high convergence precision are guaranteed viadesigning an integral sliding mode controller. Some general Lyapunov stability criteria are given for the nonlinearbilateral teleoperation system with time delays. Lastly, two Phantom Premium 1.5 HF robot manipulators are usedin the experiments to demonstrate the effectiveness of the developed techniques in this paper.

      • A Gene Regulatory Network for Root Epidermis Cell Differentiation in Arabidopsis

        Bruex, Angela,Kainkaryam, Raghunandan M.,Wieckowski, Yana,Kang, Yeon Hee,Bernhardt, Christine,Xia, Yang,Zheng, Xiaohua,Wang, Jean Y.,Lee, Myeong Min,Benfey, Philip,Woolf, Peter J.,Schiefelbein, John Public Library of Science 2012 PLoS genetics Vol.8 No.1

        <▼1><P>The root epidermis of Arabidopsis provides an exceptional model for studying the molecular basis of cell fate and differentiation. To obtain a systems-level view of root epidermal cell differentiation, we used a genome-wide transcriptome approach to define and organize a large set of genes into a transcriptional regulatory network. Using cell fate mutants that produce only one of the two epidermal cell types, together with fluorescence-activated cell-sorting to preferentially analyze the root epidermis transcriptome, we identified 1,582 genes differentially expressed in the root-hair or non-hair cell types, including a set of 208 “core” root epidermal genes. The organization of the core genes into a network was accomplished by using 17 distinct root epidermis mutants and 2 hormone treatments to perturb the system and assess the effects on each gene's transcript accumulation. In addition, temporal gene expression information from a developmental time series dataset and predicted gene associations derived from a Bayesian modeling approach were used to aid the positioning of genes within the network. Further, a detailed functional analysis of likely bHLH regulatory genes within the network, including <I>MYC1</I>, <I>bHLH54</I>, <I>bHLH66</I>, and <I>bHLH82</I>, showed that three distinct subfamilies of bHLH proteins participate in root epidermis development in a stage-specific manner. The integration of genetic, genomic, and computational analyses provides a new view of the composition, architecture, and logic of the root epidermal transcriptional network, and it demonstrates the utility of a comprehensive systems approach for dissecting a complex regulatory network.</P></▼1><▼2><P><B>Author Summary</B></P><P>A current challenge in the field of developmental biology is to define the composition and organization of gene networks that direct the pattern and differentiation of cells, tissues, and organs. In this study, we address this problem using Arabidopsis root epidermis development, a relatively simple model for studies of cell pattern formation and differentiation in plants. We used a tissue-specific cell sorting approach to define more than 1,500 genes whose transcripts differentially accumulate in the developing root epidermis. A series of transcriptome analyses were performed with 17 root epidermal mutants and 2 plant hormone treatments to dissect the regulatory relationships between 208 core genes. In addition, gene expression information from a developmental time series dataset was used to organize genes temporally. The results provide insight into the composition, organization, and logic of a developmental gene regulatory network. Furthermore, this work demonstrates the utility of an integrated analysis in gene regulatory network construction using genetic, genomic, and computational approaches.</P></▼2>

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