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E. coli metabolomics: capturing the complexity of a “simple” model

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Metabolomics

Part of the book series: Topics in Current Genetics ((TCG,volume 18))

Abstract

As the workhorse of early studies on metabolism, the metabolic pathways of E.coli are arguably the best characterized. The richness of information available aboutits pathways is broader than for any other model. However, in spite of decades of descriptive work,only recently can a significant number of E. coli metabolicnetwork constituents be analyzed simultaneously. The advent of metabolomic methods that allow tocapture qualitative as well as quantitative information about the intracellular and extracellularmetabolite profiles is starting to shed light on the remaining complexity of this simpler model. Herewe describe important findings about the physiology of E. coliresulting from emerging metabolomic studies. While a vast number of intracellular metabolitesin E. coli still remain to be characterized, the information obtainedfrom those studies can provide an unprecedented amount of information about metabolic pathways includingtheir functional elucidation, enzyme activity, metabolic fluxes, network robustness, or even the discoveryof completely novel reactions or pathways. These results are also being used to populate rich databasesand to develop computational models of E. coli metabolism thathave already proven effective to predict cellular states and will shed light on complex and untilnow still elusive regulatory principles.

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  1. Institute for Advanced Biosciences, Keio University, 403-1 Daihoji, Tsuruoka, 997-0017, Yamagata, Japan

    Martin Robert, Tomoyoshi Soga & Masaru Tomita

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  1. Martin Robert
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Robert, M., Soga, T., Tomita, M. (2007). E. coli metabolomics: capturing the complexity of a “simple” model. In: Nielsen, J., Jewett, M.C. (eds) Metabolomics. Topics in Current Genetics, vol 18. Springer, Berlin, Heidelberg. https://doi.org/10.1007/4735_2007_0221

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