Related Experiment Video
Updated: Jul 19, 2026
09:40
Phage Phenomics: Physiological Approaches to Characterize Novel Viral Proteins
Published on: June 11, 2015
Analysis of optimal phenotypic space using elementary modes as applied to Corynebacterium glutamicum
1Department of Chemical Engineering, Indian Institute of Technology, Bombay, Powai, Mumbai-400 076, India. gkalyan@iitb.ac.in
BMC Bioinformatics
|October 14, 2006
Summary
This study quantifies metabolic networks using elementary modes and linear programming in Corynebacterium glutamicum. It reveals dynamic flux distributions and identifies optimal conditions for metabolite production.
Area of Science:
- Systems biology
- Metabolic engineering
Background:
- Metabolic network quantification is crucial for developing improved microbial strains for metabolite production.
- Elementary modes represent minimal enzyme sets and are key to understanding network structure and flux distribution.
Purpose of the Study:
- To quantify the metabolic network of Corynebacterium glutamicum using elementary modes and linear programming.
- To evaluate the feasible phenotypic space under varying oxygen and ammonia uptake rates.
Main Methods:
- Formulated metabolic flux quantification as a linear programming problem constrained by elementary modes.
- Analyzed flux distributions and operational elementary modes across different fermentation phases.
- Determined feasible ranges for elementary mode fluxes and substrate uptake rates.
Main Results:
- Metabolic flux quantification depended on objective function criteria and metabolite accumulation rates.
- Elementary modes for biomass synthesis were active initially, followed by lysine synthesis modes.
- Oxygen and ammonia uptake rates were constrained by stoichiometric limitations of elementary modes.
Conclusions:
- Demonstrated a robust methodology using elementary modes and linear programming for metabolic network quantification.
- Identified operational elementary modes and feasible solution spaces for Corynebacterium glutamicum.
- This approach can optimize metabolite accumulation rates in microbial systems.
More Related Videos
Related Concept Videos
01:28Methods of Medium Optimization
Optimizing growth media enhances microbial proliferation and maximizes product yield. Statistical experimental design methodologies provide structured and reproducible approaches, offering progressively higher levels of robustness and efficiency.The One-Factor-at-a-Time (OFAT) MethodThe One-Factor-at-a-Time (OFAT) method involves adjusting a single variable while keeping all others constant. However, it cannot detect interactions between variables, often leading to suboptimal outcomes when...
01:29Microbial Morphologies
Bacterial and archaeal cells exhibit remarkable diversity in shape and structure, critical in their adaptability and functionality. Among bacteria, the most commonly observed shapes include cocci and bacilli. Cocci are spherical and may exist singly or in groupings such as pairs (diplococci), chains (streptococci), clusters (staphylococci), or tetrads. Bacilli, in contrast, are rod-shaped and can also occur as single cells, in pairs, or chains, depending on their environmental and genetic...
01:29Two-Dimensional Microscopy in Microbiology
Two-dimensional (2D) microscopy encompasses a range of optical techniques that capture images within a single focal plane, offering detailed representations of microscopic structures. These techniques are essential in biological and medical research, enabling the visualization of cellular and subcellular structures with different levels of contrast and specificity.There are several major types of 2D microscopy, each with strengths and applications.Bright-Field MicroscopyBright-field microscopy...
01:29Coordination of Gene Expression Processes in Bacteria
The DNA replication, transcription, and translation processes are intricately coupled in bacteria, allowing efficient gene expression and rapid protein synthesis. While this physical and functional coordination is advantageous, it introduces challenges that bacteria overcome through specific regulatory mechanisms.Coupling of Replication, Transcription, and TranslationThe coupling of replication, transcription, and translation is a hallmark of bacterial gene expression. As the replisome unwinds...
01:24Evolution of New Traits in Microbes
Microorganisms evolve rapidly due to their large population sizes and short generation times, often exhibiting measurable changes within days under laboratory conditions. Natural selection acts on standing genetic variation, enabling the retention and amplification of beneficial traits that confer fitness advantages in changing environments.Adaptive Pigment Regulation in RhodobacterIn Rhodobacter, a genus of purple non-sulfur bacteria, light-harvesting pigments such as bacteriochlorophyll and...
01:28Bacterial Growth Curve
The bacterial growth curve is a fundamental concept in microbiology that describes the dynamics of bacterial population growth in a closed system with controlled environmental conditions, such as temperature and nutrient availability. This curve is divided into four distinct phases: lag, log (exponential), stationary, and death phases, each reflecting a unique stage of bacterial adaptation and growth. During the lag phase, bacteria acclimate to their surroundings by synthesizing essential...