Elucidation of multifaceted evolutionary processes of microorganisms by comparative genome-based analysis.
The evolution of living organisms occurs via a combination of highly complicated processes that involve modification of various features such as appearance, metabolism and sensing systems. To understand the evolution of life, it is necessary to understand how each biological feature has been optimized in response to new environmental conditions and interrelated with other features through evolution. To accomplish this, we constructed contents-based trees for two-component system (TCS) and metabolic network to determine how the environmental communication mechanism and the intracellular metabolism have evolved, respectively. We then conducted a comparative analysis of the two trees using ARACNE to evaluate the evolutionary and functional relationship between TCS and metabolism. The results showed that such integrated analysis can give new insight into the study of bacterial evolution.
Nguyen
Thuy Vu An
TV
School of Chemical Engineering & Bioengineering, University of Ulsan102 Daehakro, Nam-gu, Ulsan 680-749, Korea.
Hong
Soon Ho
SH
Lee
Sang Yup
SY
D000465:Algorithms; D001419:Bacteria / Q000235:genetics / Q000378:metabolism; D018407:Bacterial Physiological Phenomena; D005075:Biological Evolution; D019295:Computational Biology / Q000379:methods; D004777:Environment; D016680:Genome, Bacterial; D053858:Metabolic Networks and Pathways; D056265:Microbial Interactions; D008954:Models, Biological; D013045:Species Specificity