• 한국생물공학회:학술대회논문집
• /
• 2005.04a
• /
• pp.490-490
• /
• 2005

• Proceedings of the Microbiological Society of Korea Conference
• /
• 2009.05a
• /
• pp.131-131
• /
• 2009

• Proceedings of the Korean Society of Embryo Transfer Conference
• /
• 2006.10a
• /
• pp.59-59
• /
• 2006

• Journal of Microbiology and Biotechnology
• /
• v.21 no.2
• /
• pp.162-169
• /
• 2011

A dynamic model of lactic acid fermentation using Lactococcus lactis was constructed, and a metabolic flux analysis (MFA) and metabolic control analysis (MCA) were performed to reveal an intensive metabolic understanding of lactic acid bacteria (LAB). The parameter estimation was conducted with COPASI software to construct a more accurate metabolic model. The experimental data used in the parameter estimation were obtained from an LC-MS/MS analysis and time-course simulation study. The MFA results were a reasonable explanation of the experimental data. Through the parameter estimation, the metabolic system of lactic acid bacteria can be thoroughly understood through comparisons with the original parameters. The coefficients derived from the MCA indicated that the reaction rate of L-lactate dehydrogenase was activated by fructose 1,6-bisphosphate and pyruvate, and pyruvate appeared to be a stronger activator of L-lactate dehydrogenase than fructose 1,6-bisphosphate. Additionally, pyruvate acted as an inhibitor to pyruvate kinase and the phosphotransferase system. Glucose 6-phosphate and phosphoenolpyruvate showed activation effects on pyruvate kinase. Hexose transporter was the strongest effector on the flux through L-lactate dehydrogenase. The concentration control coefficient (CCC) showed similar results to the flux control coefficient (FCC).

• KSBB Journal
• /
• v.20 no.6
• /
• pp.464-469
• /
• 2005

For the biological production of hydrogen, a new fermentative hydrogen-producing bacterium, Enterobacter sp. SNU-1453, was isolated from a domestic landfill. During the culture of this bacterium, pH significantly decreased with the accumulation of various organic acids, and consequently this inhibited the production of hydrogen. It was found that the metabolic flux in this bacterium depended on the pH and affected the hydrogen production. A butanediol pathway was dominant during the fermentation when pH was not controlled. By controlling the pH at 7 this pathway can be shifted to a mixed acid pathway, which is favorable to the production of hydrogen.

• Biotechnology and Bioprocess Engineering:BBE
• /
• v.7 no.2
• /
• pp.95-99
• /
• 2002

A pckA gene encoding phosphoenolpyruvate carboxykinase (PEPCK) was cloned and sequenced from the succinic acid producing bacterium Mannheimia succiniciproducens MBEL55E. The gene encoded a 538 residue polypeptide with a calculated molecular mass of 58.8 kDa and a calculated pI of 5.03. The deduced amino acid sequence of the M. succiniciprodutens MBEL55E PEPCK was similar to those of all known ATP-dependent PEPCKS.

• Genomics & Informatics
• /
• v.4 no.3
• /
• pp.118-124
• /
• 2006

For the direct understanding of flow, pathway data are usually represented as directed graphs in biological journals and texts. Databases of metabolic pathways or signal transduction pathways inevitably contain these kinds of graphs to show the flow. KEGG, one of the representative pathway databases, uses the manually drawn figure which can not be easily maintained. Graph layout algorithms are applied for visualizing metabolic pathways in some databases, such as EcoCyc. Although these can express any changes of data in the real time, it exponentially increases the edge crossings according to the increase of nodes. For the understanding of genome scale flow of metabolism, it is very important to reduce the unnecessary edge crossings which exist in the automatic graph layout. We propose a metabolic pathway drawing algorithm for reducing the number of edge crossings by considering the fact that metabolic pathway graph is scale-free network. The experimental results show that the number of edge crossings is reduced about $37{\sim}40%$ by the consideration of scale-free network in contrast with non-considering scale-free network. And also we found that the increase of nodes do not always mean that there is an increase of edge crossings.

• 한국생물공학회:학술대회논문집
• /
• 2003.10a
• /
• pp.590-590
• /
• 2003

• Proceedings of the Korean Society for Applied Microbiology Conference
• /
• 2001.06a
• /
• pp.132-132
• /
• 2001

• Journal of Life Science
• /
• v.19 no.3
• /
• pp.349-355
• /
• 2009

Metabolic fingerprinting of microbial communities was investigated with Biolog GN2 plates using samples of biofilm and aeration tanks from an RABC (rotating activated Bacillus contactor) system - an advanced wastewater treatment system for the food wastewater of pig slaughterhouses. Aerobic and anaerobic results revealed the following four aspects. First, simple matching and pairs t-test of daily variation showed more defined qualitative and quantitative relatedness of active microbial communities than that of mere optical densities. Second, metabolic potentials were higher in biofilm than in aeration tanks (p<0.01), meaning higher activity of biofilm. Third, two aeration tanks showed the highest similarity (78%) and similar metabolic power (p=0.287). However, actively used carbon sources were different among samples, signifying change of active communities at each wastewater treatment step. Finally, aerobic and anaerobic metabolic fingerprinting patterns were different for the same samples representing activities of microaerophilic and/or anaerobic communities. These results suggest that daily variation and anaerobic incubation would help in the comparison of metabolic fingerprintings.