Systems Biotechnology: an Energing Trend in Metabolic Engineering of Industrial Microorganisms
- *Corresponding Author:
- Dr. Chellapandi,
Department of Bioinformatics
School of Life Sciences, Bharathidasan University
E-mail: [email protected]
Received: February 22, 2010; Accepted: April 10, 2010; Published: April 10, 2010
Citation: Chellapandi P, Sivaramakrishnan S, Viswanathan MB (2010) Systems Biotechnology: an Energing Trend in Metabolic Engineering of Industrial Microorganisms. J Comput Sci Syst Biol 3:043-049. doi: 10.4172/jcsb.1000054
Copyright: © 2010 Chellapandi P, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License,which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
The improvement of production processes to achieve commercially viable production levels is a prerequisite to any bioprocess. Currently, production strains are enhanced using a combination of random and targeted approach. By combining metabolomics technology and genome data analysis, it is possible to replace empirical target-selection strategies with a more scienti fi c approach. All steps of biotechnological development, from up-stream and mid-stream to down-stream processes will bene fi t signi fi cantly by taking systems biotechnological approaches. The prevalence of genome sequence information, in concert with modern molecular biology advances, should have facilitated the easy manipulation of speci fi c genes and pathways for the production of microbial metabolites. A notable success has been made on designing optimized production systems that maximize productivity and minimize raw materials costs for valuable metabolites. A remarkable advantage of this approach up-to-data and its relevant web resources is critically reviewed in this article. Indeed, this alternative approach will not only hopefully be useful for improving the productivity of many meaningful metabolites including antibiotics, enzymes, organic acids, etc. from industrially signi fi cant microorganisms but also will ensure correlation of many experimental reliabilities.