Complexity of interactions

Levels of interaction complexity

Metabolome, differential metabolomes and meta-metabolomes are obtained at three different levels of interaction complexity. Methods are developed at BGC and in collaboration to integrate these Metabolomics data with other Omics in various projects (deep sequencing, meta/Transcriptomics, meta/Proteomics). The various presented projects are implemented within a dense network of collaborations within the Helmholtz Zentrum München.

I - Single organisms level

We follow specific metabolomes affected by changes in genomes or stress situations in plants, humans and modelorganisms.

  • Thondamal, M. et al.: Steroid hormone signalling links reproduction to lifespan in dietary-restricted Caenorhabditis elegans. Nature Commununications, 2014
  • Kaling, M. et al.: UV-B mediated metabolic rearrangements in poplar revealed by non-targeted metabolomics. Plant Cell Environment, 2014
  • Boncompain, G. et al.: The intracellular bacteria Chlamydia hijack peroxisomes and utilize their enzymatic capacity to produce bacteria-specific phospholipids. PLoS ONE, 2014
  • Forcisi, S. et al.: Liquid chromatography-mass spectrometry in metabolomics research: Mass analyzers in ultra high pressure liquid chromatography coupling. Journal of Chromatography A, 2013
  • Gläser, K. et al.: Exploring the Arabidopsis sulfur metabolome. The Plant Journal, 2014

 

II - Species and community level

We follow differential metabolome and interactome to study inter-organismic signalling and interaction in the rhizosphere and pathogen caused disease. One focus of our work are the functional aspects of important molecular markers, especially the study of theis bioactive properties.

  • Helfer, M. et al.: The root extract of the medicinal plant Pelargonium sidoides is a potent HIV-1 attachment inhibitor. PLoS ONE, 2014
  • Müller, C. et al.: Molecular cartography in acute Chlamydia pneumoniae infections - a non-targeted metabolomics approach. Analytical Bioanalytical Chemistry, 2013
  • Wittek, F. et al.: Folic acid induces salicylic acid-dependent immunity in Arabidopsis and enhances susceptibility to Alternaria brassicicola. Molecular Plant Pathology, 2015
  • Buddrus-Schiemann, K. et al.: Analysis of N-acylhomoserine lactone-dynamics in continuous cultures of Pseudomonas putida IsoF using ELISA and UHPLC/qTOF-MS-derived measurements and mathematical models. Analytical Bioanalytical Chemistry, 2014

 

III - Systems level

We follow meta-metabolomes integration of microbiomes in BioGeosystems under natural conditions and in stress situations (biotic and abiotic process differentiation in environmental ecosystems, nutrition/diabetes or inflammation).