| Reference : Integration of omics data for biotechnology-relevant microbial communities |
| Dissertations and theses : Doctoral thesis | |||
| Life sciences : Biochemistry, biophysics & molecular biology Life sciences : Environmental sciences & ecology Life sciences : Microbiology | |||
| Systems Biomedicine | |||
| http://hdl.handle.net/10993/37648 | |||
| Integration of omics data for biotechnology-relevant microbial communities | |
| English | |
Herold, Malte  [University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) > > ; University of Luxembourg > Faculty of Science, Technology and Communication (FSTC)] | |
| 20-Nov-2018 | |
| University of Luxembourg, Esch-sur-Alzette, Luxembourg | |
| Docteur en Biologie | |
| xii, 131 + 144 | |
| Wilmes, Paul | |
| May, Patrick | |
| Abram, Florence | |
| Pope, Phillip | |
| [en] Integrated omics ; Biomining ; Lipid-accumulating organisms ; wastewater treatment ; chalcopyrite | |
| [en] Naturally occurring and artificial bacterial communities play an import role in many biotechnological processes. To elucidate bacterial interactions that are important for potential optimized biotechnological applications, high-throughput measurements of biomolecules, metagenomics, metratranscriptomics,metaproteomics, and meta-metabolomics provide a detailed snapshot of mixed microbial consortia.
Integration of multiple layers of omics data allows to reconstruct structure and function of complex microbial communities and is demonstrated for two different model systems. The first chapter focuses on synthetic communities consisting of strains representing key species found in biomining operations and acid mine drainage and that are of economical interest for copper production. A high-quality closed reference genome for L. ferriphilum was obtained by DNA sequencing and was subsequently used to integrate functional omics data, i.e. transcriptomic and proteomic profiling. The combination of genomics, genome annotation, and functional omics data allowed an in-depth characterization of L. ferriphilum in culture medium and in the presence of the iron sulfide mineral chalcopyrite, an economically relevant copper ore. Subsequently, analyses were performed for co-cultures of up to three organisms highlighting specific interaction mechanisms. The cultures without L. ferriphilum showed higher copper solubilisation rates, as the highly efficient iron oxidiser might raise the redox potential above the optimal range. For in situ studies, reference-based analyses are of limited use, e.g. due to a lack in reference genomes of culturable isolates. Hence, the second chapter focuses on an approach to study mixed microbial communities independent of prior knowledge and available reference genomes. A timeseries of oleaginous floating sludge samples that spans over one and a half years was analysed by integrating metagenomic, metatranscriptomic, metaproteomic, and meta-metabolomic data. This allowed the reconstruction of population level genomes and the characterization of the niches of the respective populations. The functional potential was assessed, as well as expression profiles over time, yielding a detailed view on lifestyle strategies and the potential impact of abiotic factors. Understanding the niche ecology of the predominant lipid accumulators in the system could lead towards optimized biofuel production. | |
| Luxembourg Centre for Systems Biomedicine (LCSB): Eco-Systems Biology (Wilmes Group) | |
| Fonds National de la Recherche - FnR | |
| SysMetEx | |
| Researchers ; Students | |
| http://hdl.handle.net/10993/37648 | |
| FP7 ; 321567 - ERASYSAPP - ERASysAPP - Systems Biology Applications |
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