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Identification of an Antifungal Chitinase from a Potential Biocontrol Agent, Bacillus cereus 28-9
( Chien Jui Huang ),( Tang Kai Wang ),( Shu Chun Chung ),( Chao Ying Chen ) 생화학분자생물학회 2005 BMB Reports Vol.38 No.1
Bacillus cereus 28-9 is a chitinolytic bacterium isolated from lily plant in Taiwan. This bacterium exhibited biocontrol potential on Botrytis leaf blight of lily as demonstrated by a detached leaf assay and dual culture assay. At feast two chitinases (ChiCW and ChiCH) were excreted by B. cereus 28-9. The ChiCW-encoding gene was cloned and moderately expressed in Escherichia coli DH5α. Near homogenous ChiCW was obtained from the periplasmic fraction of E. coli cells harboring chiCW by a purification procedure. An in vitro assay showed that the purified ChiCW had inhibitory activity on conidial germination of Botrytis elliptica, a major fungal pathogen of lily leaf blight.
Identification of an Antifungal Chitinase from a Potential Biocontrol Agent, Bacillus cereus 28-9
Huang, Chien-Jui,Wang, Tang-Kai,Chung, Shu-Chun,Chen, Chao-Ying Korean Society for Biochemistry and Molecular Biol 2005 Journal of biochemistry and molecular biology Vol.38 No.1
Bacillus cereus 28-9 is a chitinolytic bacterium isolated from lily plant in Taiwan. This bacterium exhibited biocontrol potential on Botrytis leaf blight of lily as demonstrated by a detached leaf assay and dual culture assay. At least two chitinases (ChiCW and ChiCH) were excreted by B. cereus 28-9. The ChiCW-encoding gene was cloned and moderately expressed in Escherichia coli DH5$\alpha$. Near homogenous ChiCW was obtained from the periplasmic fraction of E. coli cells harboring chiCW by a purification procedure. An in vitro assay showed that the purified ChiCW had inhibitory activity on conidial germination of Botrytis elliptica, a major fungal pathogen of lily leaf blight.
CHIEN-CHIANG LEE,Meng-Fen Hsieh,Pei-Fen Chen,Shih-Jui Yang 한국증권학회 2013 Asia-Pacific Journal of Financial Studies Vol.42 No.5
This paper examines the impact of bank diversification on stability, using bank-level data for 22 Asian countries over the period from 1995 to 2009. We empirically investigate whether country characteristics, economic structure, regulatory and governance environments, and globalization have affected the degree of banking stability in Asia. This study takes on two measures for banking diversification - asset and income diversities - and adopts a broad set of variables as a proxy for bank stability. We apply dynamic panel data techniques and show different results from the U.S. and Europe. Our results first reveal that in Asia asset diversity is not sufficient enough to improve bank stability. However, bank stability can be enhanced through a strategy of income diversity. Second, a higher degree of globalization decreases bank stability through income diversity, but stability rises through asset diversity. Third, a country with a higher level of corporate governance reduces the agency problem, thus further increasing stability through diversity. Finally, a country with a higher level of economic development will support asset diversity so that banks can obtain higher profit accompanied by lower risk.
Biosequestration of Carbon Dioxide Using a Silicified Carbonic Anhydrase Catalyst
Liang-Jung Chien,수레쉬쿠마,Hsiao-Hsin Hsieh,Jui-Lung Wang 한국생물공학회 2013 Biotechnology and Bioprocess Engineering Vol.18 No.3
Using recombinant DNA technology, we constructed a dual fusion gene expression plasmid,pRCAH-30, encoding carbonic anhydrase (CA) from the cyanobacterium Synechocystis sp. PCC6803, an R5 peptide sequence, and an affinity (His)6 tag, to allow the simultaneous purification and immobilization of the encoded fusion enzyme, termed RCAH. The expressed fusion protein was approximately 30 kDa, and could be rapidly purified using affinity resins. To enhance enzyme activity,the R5 peptide facilitated immobilization by means of silicification with tetramethoxysilane; the aggregated particles were approximately 300 nm in diameter. Activity tests revealed that the enzyme functioned optimally between pH 7.0 and 7.5; maximum stability was achieved between 25and 45oC, at pH 6.0 ~ 8.0. Activity of the fusion enzyme persisted, even after encapsulation by biomimetic silicification. In fact, silicone embedding stabilized the enzyme structure, thereby increasing its stability and reusability rate under different environmental conditions. In addition, the silicified enzyme reduced waste CO2 gas from 800 to 42 ppm, resulting in a gas capture rate of 94.7% after conversion. Thus, the construct developed in this study can be effectively utilized for the sequestration of industrial waste CO2 gas.
( Dan Jeric Arcega Rustia ),( Chien Erh Lin ),( Jui-yung Chung ),( Ta-te Lin ) 한국농업기계학회 2018 한국농업기계학회 학술발표논문집 Vol.23 No.1
Insect pest identification is very important for greenhouse management. Having the knowledge of what insects exist in their greenhouse, farmers will be able to determine which pesticide will be more effective to prevent insect pest outbreaks and protect their crops. The most common technique to monitor insect pests is the use of strips of yellow sticky papers. Insects trapped on these yellow sticky papers are usually counted by human inspection without the assistance of any machine or device. To replace this inefficient method, this work presents a multi-class insect identification method for yellow sticky paper, obtained from wireless cameras using cascaded convolutional neural networks (CNN). The designed algorithm makes use of a marker-based image segmentation technique for object detection. The objects are sorted using an insect vs. non-insect filter CNN model to remove non-insect objects such as glare, dirt, and water droplets with 88-95% counting accuracy, while the multi-class insect classifier has an accuracy of 86-92%. The CNN models are optimized based on accuracy and computation time for real-time insect pest monitoring application. The combined algorithm can process each yellow sticky paper image with an average processing time of 13-15 seconds and 2-3 seconds using a quad-core Cortex A53 1.2GHz CPU and GTX1080 2.2GHz GPU, respectively. This work can be applied for real-time and remote insect pest monitoring using wireless camera networks and for observing insect population dynamics of different species.
Dan Jeric Arcega Rustia,Chien Erh Lin,Jui-Yung Chung,Yi-Ji Zhuang,Ju-Chun Hsu,Ta-Te Lin 한국응용곤충학회 2020 Journal of Asia-Pacific Entomology Vol.23 No.1
This work presents an automated insect pest counting and environmental condition monitoring system using integrated camera modules and an embedded system as the sensor node in a wireless sensor network. The sensor node can be used to simultaneously acquire images of sticky paper traps and measure temperature, humidity, and light intensity levels in a greenhouse. An image processing algorithm was applied to automatically detect and count insect pests on an insect sticky trap with 93% average temporal detection accuracy compared with manual counting. The integrated monitoring system was implemented with multiple sensor nodes in a greenhouse and experiments were performed to test the system’s performance. Experimental results show that the automatic counting of the monitoring system is comparable with manual counting, and the insect pest count information can be continuously and effectively recorded. Information on insect pest concentrations were further analyzed temporally and spatially with environmental factors. Analyses of experimental data reveal that the normalized hourly increase in the insect pest count appears to be associated with the change in light intensity, temperature, and relative humidity. With the proposed system, laborious manual counting can be circumvented and timely assessment of insect pest and environmental information can be achieved. The system also offers an efficient tool for long-term insect pest behavior observations, as well as for practical applications in integrated pest management (IPM).