Dataset Information

Comparative LC/MS-based profiling of L-arginine producing, canavanine resistant Corynebacterium glutamicum strain ATCC 21831 and type strain ATCC 13032

ABSTRACT: Corynebacterium glutamicum strain ATCC 21831 is a producer of L-arginine that was created by random mutagenesis. It is resistant to the arginine structural analogue canavanine. In order to identify potential bottlenecks in the biosynthetic pathway that leads to this industrially important amino acid, relative metabolite abundances of biosynthetic intermediates were determined in comparison to the type strain ATCC 13032. An extract of U13C-labeled biomass was used as internal standard, to correct for different ionization efficiencies. Metabolites were identified using the ALLocator web platform.

INSTRUMENT(S): micrOTOF-Q II ESI-Qq-TOF (Bruker)

SUBMITTER: Frederik Walter

PROVIDER: MTBLS128 | MetaboLights | 2015-10-06

REPOSITORIES: MetaboLights

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Dataset's files

Source:

			Action	DRS
	MTBLS128	Other
	FILES	Other
	a_MTBLS128_metabolite_profiling_mass_spectrometry.txt	Txt
	i_Investigation.txt	Txt
	m_MTBLS128_metabolite_profiling_mass_spectrometry_v2_maf.tsv	Tabular

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Publications

ALLocator: an interactive web platform for the analysis of metabolomic LC-ESI-MS datasets, enabling semi-automated, user-revised compound annotation and mass isotopomer ratio analysis.

Kessler Nikolas N Walter Frederik F Persicke Marcus M Albaum Stefan P SP Kalinowski Jörn J Goesmann Alexander A Niehaus Karsten K Nattkemper Tim W TW

PloS one 20141126 11

Adduct formation, fragmentation events and matrix effects impose special challenges to the identification and quantitation of metabolites in LC-ESI-MS datasets. An important step in compound identification is the deconvolution of mass signals. During this processing step, peaks representing adducts, fragments, and isotopologues of the same analyte are allocated to a distinct group, in order to separate peaks from coeluting compounds. From these peak groups, neutral masses and pseudo spectra are ...[more]

PMID: 25426929

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