International Journal of Genomics

International Journal of Genomics / 2003 / Article

Primary Research Paper | Open Access

Volume 4 |Article ID 302612 | https://doi.org/10.1002/cfg.302

Naheed N. Kaderbhai, David I. Broadhurst, David I. Ellis, Royston Goodacre, Douglas B. Kell, "Functional Genomics via Metabolic Footprinting: Monitoring Metabolite Secretion by Escherichia coli Tryptophan Metabolism Mutants Using FT–IR and Direct Injection Electrospray Mass Spectrometry", International Journal of Genomics, vol. 4, Article ID 302612, 16 pages, 2003. https://doi.org/10.1002/cfg.302

Functional Genomics via Metabolic Footprinting: Monitoring Metabolite Secretion by Escherichia coli Tryptophan Metabolism Mutants Using FT–IR and Direct Injection Electrospray Mass Spectrometry

Received15 Jan 2003
Revised23 Apr 2003
Accepted22 May 2003

Abstract

We sought to test the hypothesis that mutant bacterial strains could be discriminated from each other on the basis of the metabolites they secrete into the medium (their ‘metabolic footprint’), using two methods of ‘global’ metabolite analysis (FT–IR and direct injection electrospray mass spectrometry). The biological system used was based on a published study of Escherichia coli tryptophan mutants that had been analysed and discriminated by Yanofsky and colleagues using transcriptome analysis. Wild-type strains supplemented with tryptophan or analogues could be discriminated from controls using FT–IR of 24 h broths, as could each of the mutant strains in both minimal and supplemented media. Direct injection electrospray mass spectrometry with unit mass resolution could also be used to discriminate the strains from each other, and had the advantage that the discrimination required the use of just two or three masses in each case. These were determined via a genetic algorithm. Both methods are rapid, reagentless, reproducible and cheap, and might beneficially be extended to the analysis of gene knockout libraries.

Copyright © 2003 Hindawi Publishing Corporation. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


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