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)

PROVIDER: MTBLS128 | MetaboLights | 2015-10-06

REPOSITORIES: MetaboLights

ACCESS DATA

Dataset's files

Source:

			Action	DRS
	ATCC13032_1_177_01_4681.cdf	Other
	ATCC13032_2_182_01_4686.cdf	Other
	ATCC13032_3_183_01_4687.cdf	Other
	ATCC13032_4_180_01_4684.cdf	Other
	ATCC21831_1_179_01_4683.cdf	Other

Items per page:

1 - 5 of 20

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

Similar Datasets

Project description:The filamentous fungus Trichoderma reesei is the main industrial cellulytic enzymes producer. Several strains have been developed in the past using random mutagenesis, and despite impressive performance enhancements, the pressure for low-cost cellulases has stimulated continuous research in the field. In this context, comparative study of the lower and higher producer strains obtained through random mutagenesis using systems biology tools (genome sequencing, transcriptome) can shed light on the mechanisms of cellulase production and help identify genes linked to performance. Previously, our group published comparative genome sequencing of the lower and higher producer strains NG14 and RUT C30. In this follow-up work, we examined how these mutations affect phenotype at the level of the transcriptome and cultivation behavior. We performed kinetic transcriptome analysis of the NG14 and RUT C30 strains of early cellulase production induced by lactose using bioreactor cultivations close to industrial conditions. RUT C30 exhibited both earlier onset of cellulase production and higher steady-state productivity. A rather low number of genes were regulated, most of them being specific to the NG14 strains. Clustering of these genes highlighted similar behavior for some functional categories, and allowed to distinguish between induction-related genes and productivity-related genes. The lower number of genes regulated in RUT C30 could not formally be linked to the relief in catabolic repression that is characteristic of this strain. Cross-comparison of our transcriptome data with mutations previously identified revealed that most genes from our dataset have not been mutated. Interestingly, the few mutated genes belong to the same clusters, suggesting these clusters contain genes playing a role in strain performance. This is the first kinetic transcriptome study carried out in industry-relevant conditions with two related strains of T. reesei showing distinctive performances. Our study sheds some light on some of the events occurring in these strains following induction by lactose. The fact that few regulated genes have been affected by mutagenesis suggest that the induction mechanism is essentially intact and that there is room for further improvement of T. reesei. We also provide some potential target for further genetic improvement of these strains.