References of "Muller, Emilie 50003383"
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See detailFrom gut to sludge: Molecular Eco-Systems Biology of Microbial Consortia
Muller, Emilie UL; Wilmes, Paul UL

Scientific Conference (2012)

Detailed reference viewed: 55 (1 UL)
See detailA Biomolecular Isolation Framework for Molecular Eco-Systems Biology
Muller, Emilie UL; Roume, Hugo UL; Shah, Pranjul UL et al

Poster (2012)

With the advent of high-throughput omic technologies, powerful and sensitive methods are available for the analysis of nucleic acid, protein and small molecule complements obtained from biological samples ... [more ▼]

With the advent of high-throughput omic technologies, powerful and sensitive methods are available for the analysis of nucleic acid, protein and small molecule complements obtained from biological samples. Molecular eco-systems biology studies based on the integration of genomic, transcriptomic, proteomic and metabolomic data are faced with major challenges arising from the complexity, dynamics and heterogeneity of mixed microbial consortia. In order to facilitate meaningful data integration, analysis and modeling, it is essential that biomolecular fractions obtained for high-throughput omic analyses are representative of single unique samples. We have developed a new methodological framework for the reproducible isolation of high-quality genomic DNA, large and small RNA, proteins, and polar and non-polar metabolites from single unique mixed microbial community samples. The methodology is based around reproducible cryogenic sample preservation and cell lysis. Metabolites are extracted first using organic solvents, followed by the sequential isolation of nucleic acids and proteins using chromatographic spin column technology. The methodology was validated by comparison to traditional dedicated and simultaneous biomolecular isolation methods. To prove the broad applicability of the methodology, we applied it to microbial consortia of biotechnological, environmental and medical interest. Importantly, the developed methodology will allow exploitation of the inherent heterogeneity and dynamics within microbial consortia through spatial and temporal sampling of biological systems to allow later deconvolution of community-wide, population-wide and individual-level processes using the generated omic data. This approach has the potential to identify associations between distinct biomolecules and which may provide pointers towards unravelling previously unknown metabolic processes. Finally, by providing a standardized workflow, the methodology lays the foundation for comparative eco-systematic studies of different natural microbial consortia in the future. [less ▲]

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See detailEco-Systems Biology of Natural Lipid-Accumulating Microbial Communities
Muller, Emilie UL; Roume, Hugo; Lebrun, Laura UL et al

Poster (2011, September 27)

Biological wastewater treatment represents arguably the most widely used biotechnological process on Earth. Due to its high organic load, wastewater represents a potentially interesting energy commodity ... [more ▼]

Biological wastewater treatment represents arguably the most widely used biotechnological process on Earth. Due to its high organic load, wastewater represents a potentially interesting energy commodity that is currently not exploited comprehensively. Molecules of particular interest for sustainable bioenergy production are lipids which represent up to 45 % of the organic fraction of wastewater. Within biological wastewater treatment plants, specific lipid accumulating organism (LAO) communities exhibit specialized phenotypes that might be harnessed for the concomitant treatment of wastewater and the production of biodiesel (long chain fatty acid (LCFA) methyl esters). Furthermore, due to the unusual high-density enrichments in the LAO communities, these represent ideal models for the development of relevant high-resolution ecosystems biology methodologies. The main aims are: determining the exact genetic inventories required for excess lipid uptake, storage and processing within lipid accumulating bacterial populations ; determining the metabolic fate of organic molecules (lipids) within LAO communities ; and determining the functional organisation in relation to genetic heterogeneity of lipid accumulating bacterial populations. [less ▲]

Detailed reference viewed: 74 (8 UL)