With about 200 000 phytochemicals in existence, identifying
those of biomedical significance is a mammoth task. In the
postgenomic era, relating metabolite fingerprints, abundances,
and profiles to genotype is also a large task. Ion analysis
using Fourier transformed ion cyclotron resonance mass
spectrometry (FT-ICR-MS) may provide a high-throughput
approach to measure genotype dependency of the inferred
metabolome if reproducible techniques can be established. Ion
profile inferred metabolite fingerprints are coproducts. We
used FT-ICR-MS-derived ion analysis to examine gdhA
(glutamate dehydrogenase (GDH; EC 1.4.1.1)) transgenic
Nicotiana tabacum (tobacco) carrying out altered
glutamate, amino acid, and carbon metabolisms, that
fundamentally alter plant productivity. Cause and effect
between gdhA expression, glutamate metabolism, and
plant phenotypes was analyzed by 13NH4+ labeling of amino acid fractions, and by FT-ICR-MS analysis of
metabolites. The gdhA transgenic plants increased
13N labeling of glutamate and glutamine
significantly. FT-ICR-MS detected 2 012 ions reproducible in
2 to 4 ionization protocols. There were 283 ions in
roots and 98 ions in leaves that appeared to significantly
change abundance due to the measured GDH activity. About 58%
percent of ions could not be used to infer a corresponding
metabolite. From the 42% of ions that inferred known
metabolites we found that certain amino acids, organic acids,
and sugars increased and some fatty acids decreased. The
transgene caused increased ammonium assimilation and
detectable ion variation. Thirty-two compounds with biomedical
significance were altered in abundance by GDH including 9
known carcinogens and 14 potential drugs. Therefore, the GDH
transgene may lead to new uses for crops like tobacco.