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Dive into the research topics where Anja Doebbe is active.

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Featured researches published by Anja Doebbe.


Journal of Biological Chemistry | 2009

The Metabolome of Chlamydomonas reinhardtii following Induction of Anaerobic H2 Production by Sulfur Depletion

Timmins Matthew; Wenxu Zhou; Jens Rupprecht; Lysha Lim; Skye R. Thomas-Hall; Anja Doebbe; Olaf Kruse; Ben Hankamer; Ute C. Marx; Steven M. Smith; Peer M. Schenk

The metabolome of the model species Chlamydomonas reinhardtii has been analyzed during 120 h of sulfur depletion to induce anaerobic hydrogen (H2) production, using NMR spectroscopy, gas chromatography coupled to mass spectrometry, and TLC. The results indicate that these unicellular green algae consume freshly supplied acetate in the medium to accumulate energy reserves during the first 24 h of sulfur depletion. In addition to the previously reported accumulation of starch, large amounts of triacylglycerides were deposited in the cells. During the early 24- to 72-h time period fermentative energy metabolism lowered the pH, H2 was produced, and amino acid levels generally increased. In the final phase from 72 to 120 h, metabolism slowed down leading to a stabilization of pH, even though some starch and most triacylglycerides remained. We conclude that H2 production does not slow down due to depletion of energy reserves but rather due to loss of essential functions resulting from sulfur depletion or due to a build-up of the toxic fermentative products formate and ethanol.


Journal of Biotechnology | 2012

Functional analysis of three type-2 DGAT homologue genes for triacylglycerol production in the green microalga Chlamydomonas reinhardtii.

M. La Russa; Christian Bogen; Andreas Uhmeyer; Anja Doebbe; E. Filippone; Olaf Kruse; Jan H. Mussgnug

Photosynthetic organisms like plants and algae can use sunlight to produce lipids as important metabolic compounds. Plant-derived triacylglycerols (TAGs) are valuable for human and animal nutrition because of their high energy content and are becoming increasingly important for the production of renewable biofuels. Acyl-CoA:diacylglycerol acyltransferases (DGATs) have been demonstrated to play an important role in the accumulation of TAG compounds in higher plants. DGAT homologue genes have been identified in the genome of the green alga Chlamydomonas reinhardtii, however their function in vivo is still unknown. In this work, the three most promising type-2 DGAT candidate genes potentially involved in TAG lipid accumulation (CrDGAT2a, b and c) were investigated by constructing overexpression strains. For each of the genes, three strains were identified which showed enhanced mRNA levels of between 1.7 and 29.1 times that of the wild type (wt). Total lipid contents, neutral lipids and fatty acid profiles were determined and showed that an enhanced mRNA expression level of the investigated DGAT genes did not boost the intracellular TAG accumulation or resulted in alterations of the fatty acid profiles compared to wild type during standard growth condition or during nitrogen or sulfur stress conditions. We conclude that biotechnological efforts to enhance cellular TAG amount in microalgae need further insights into the complex network of lipid biosynthesis to identify potential bottlenecks of neutral lipid production.


Journal of Biological Chemistry | 2010

THE INTERPLAY OF PROTON, ELECTRON, AND METABOLITE SUPPLY FOR PHOTOSYNTHETIC H2 PRODUCTION IN CHLAMYDOMONAS REINHARDTII

Anja Doebbe; Matthias Keck; Marco La Russa; Jan H. Mussgnug; Ben Hankamer; Ercan Tekçe; Karsten Niehaus; Olaf Kruse

To obtain a detailed picture of sulfur deprivation-induced H2 production in microalgae, metabolome analyses were performed during key time points of the anaerobic H2 production process of Chlamydomonas reinhardtii. Analyses were performed using gas chromatography coupled to mass spectrometry (GC/MS), two-dimensional gas chromatography combined with time-of-flight mass spectrometry (GCxGC-TOFMS), lipid and starch analysis, and enzymatic determination of fermentative products. The studies were designed to provide a detailed metabolite profile of the solar Bio-H2 production process. This work reports on the differential analysis of metabolic profiles of the high H2-producing strain Stm6Glc4 and the wild-type cc406 (WT) before and during the H2 production phase. Using GCxGC-TOFMS analysis the number of detected peaks increased from 128 peaks, previously detected by GC/MS techniques, to ∼1168. More detailed analysis of the anaerobic H2 production phase revealed remarkable differences between wild-type and mutant cells in a number of metabolic pathways. Under these physiological conditions the WT produced up to 2.6 times more fatty acids, 2.2 times more neutral lipids, and up to 4 times more fermentation products compared with Stm6Glc4. Based on these results, specific metabolic pathways involving the synthesis of fatty acids, neutral lipids, and fermentation products during anaerobiosis in C. reinhardtii have been identified as potential targets for metabolic engineering to further enhance substrate supply for the hydrogenase(s) in the chloroplast.


Bioresource Technology | 2013

Identification of Monoraphidium contortum as a promising species for liquid biofuel production

Christian Bogen; Viktor Klassen; Julian Wichmann; Marco La Russa; Anja Doebbe; Michael Grundmann; Pauliina Uronen; Olaf Kruse; Jan H. Mussgnug

In this work, 30 microalgae strains from 17 genera were investigated in regard to biomass productivity in photoautotrophic growth conditions, lipid amount, lipid quality and biomass degradability. Six strains could be identified with robust phototrophic growth properties and high biomass productivities equal or above 300 mg l(-1) day(-1). Anaerobic fermentation of the algal biomass was most efficient for the marine members of the genera Dunaliella and Navicula, while biogas production with the freshwater strains generally resulted in lower methane yields. Monoraphidium contortum was identified as promising candidate for liquid biofuel production, characterized by high biomass productivity during maximum growth (maximum increase of 896 mg dry biomass weight (DW) l(-1) day(-1)) and a promising lipid profile. Neutral lipid production was strongly induced in M. contortum by nitrogen deficient conditions and accumulated to up to 20.4±2.2% of DW.


Nature Communications | 2012

Cellulose degradation and assimilation by the unicellular phototrophic eukaryote Chlamydomonas reinhardtii.

Olga Blifernez-Klassen; Viktor Klassen; Anja Doebbe; Klaudia Kersting; Philipp Grimm; Lutz Wobbe; Olaf Kruse

Plants convert sunlight to biomass, which is primarily composed of lignocellulose, the most abundant natural biopolymer and a potential feedstock for fuel and chemical production. Cellulose assimilation has so far only been described for heterotrophic organisms that rely on photosynthetically active primary producers of organic compounds. Among phototrophs, the unicellular green microalga Chlamydomonas reinhardtii is widely known as one of the best established model organisms. It occupies many habitats, including aquatic and soil ecosystems. This ubiquity underscores the versatile metabolic properties of this microorganism. Here we present yet another paradigm of adaptation for C. reinhardtii, highlighting its photoheterotrophic ability to utilize cellulose for growth in the absence of other carbon sources. When grown under CO(2)-limiting conditions in the light, secretion of endo-β-1,4-glucanases by the cell causes digestion of exogenous cellulose, followed by cellobiose uptake and assimilation. Phototrophic microbes like C. reinhardtii may thus serve as biocatalysts for cellulosic biofuel production.


PLOS ONE | 2011

Time-Course Global Expression Profiles of Chlamydomonas reinhardtii during Photo-Biological H2 Production

Anh Vu Nguyen; Joerg Toepel; Steven Burgess; Andreas Uhmeyer; Olga Blifernez; Anja Doebbe; Ben Hankamer; Peter J. Nixon; Lutz Wobbe; Olaf Kruse

We used a microarray study in order to compare the time course expression profiles of two Chlamydomonas reinhardtii strains, namely the high H2 producing mutant stm6glc4 and its parental WT strain during H2 production induced by sulfur starvation. Major cellular reorganizations in photosynthetic apparatus, sulfur and carbon metabolism upon H2 production were confirmed as common to both strains. More importantly, our results pointed out factors which lead to the higher H2 production in the mutant including a higher starch accumulation in the aerobic phase and a lower competition between the H2ase pathway and alternative electron sinks within the H2 production phase. Key candidate genes of interest with differential expression pattern include LHCSR3, essential for efficient energy quenching (qE). The reduced LHCSR3 protein expression in mutant stm6glc4 could be closely related to the high-light sensitive phenotype. H2 measurements carried out with the LHCSR3 knock-out mutant npq4 however clearly demonstrated that a complete loss of this protein has almost no impact on H2 yields under moderate light conditions. The nuclear gene disrupted in the high H2 producing mutant stm6glc4 encodes for the mitochondrial transcription termination factor (mTERF) MOC1, whose expression strongly increases during –S-induced H2 production in WT strains. Studies under phototrophic high-light conditions demonstrated that the presence of functional MOC1 is a prerequisite for proper LHCSR3 expression. Furthermore knock-down of MOC1 in a WT strain was shown to improve the total H2 yield significantly suggesting that this strategy could be applied to further enhance H2 production in other strains already displaying a high H2 production capacity. By combining our array data with previously published metabolomics data we can now explain some of the phenotypic characteristics which lead to an elevated H2 production in stm6glc4.


Bioinformatics | 2014

BiPACE 2D—graph-based multiple alignment for comprehensive 2D gas chromatography-mass spectrometry

Nils Hoffmann; Mathias Wilhelm; Anja Doebbe; Karsten Niehaus; Jens Stoye

MOTIVATION Comprehensive 2D gas chromatography-mass spectrometry is an established method for the analysis of complex mixtures in analytical chemistry and metabolomics. It produces large amounts of data that require semiautomatic, but preferably automatic handling. This involves the location of significant signals (peaks) and their matching and alignment across different measurements. To date, there exist only a few openly available algorithms for the retention time alignment of peaks originating from such experiments that scale well with increasing sample and peak numbers, while providing reliable alignment results. RESULTS We describe BiPACE 2D, an automated algorithm for retention time alignment of peaks from 2D gas chromatography-mass spectrometry experiments and evaluate it on three previously published datasets against the mSPA, SWPA and Guineu algorithms. We also provide a fourth dataset from an experiment studying the H2 production of two different strains of Chlamydomonas reinhardtii that is available from the MetaboLights database together with the experimental protocol, peak-detection results and manually curated multiple peak alignment for future comparability with newly developed algorithms. AVAILABILITY AND IMPLEMENTATION BiPACE 2D is contained in the freely available Maltcms framework, version 1.3, hosted at http://maltcms.sf.net, under the terms of the L-GPL v3 or Eclipse Open Source licenses. The software used for the evaluation along with the underlying datasets is available at the same location. The C.reinhardtii dataset is freely available at http://www.ebi.ac.uk/metabolights/MTBLS37.


Journal of Integrative Bioinformatics | 2018

Heuristic Modeling and 3D Stereoscopic Visualization of a Chlamydomonas reinhardtii Cell

Niklas Biere; Mehmood Ghaffar; Anja Doebbe; Daniel Jäger; Nils Rothe; Benjamin M. Friedrich; Ralf Hofestädt; Falk Schreiber; Olaf Kruse; Björn Sommer

Abstract The structural modeling and representation of cells is a complex task as different microscopic, spectroscopic and other information resources have to be combined to achieve a three-dimensional representation with high accuracy. Moreover, to provide an appropriate spatial representation of the cell, a stereoscopic 3D (S3D) visualization is favorable. In this work, a structural cell model is created by combining information from various light microscopic and electron microscopic images as well as from publication-related data. At the mesoscopic level each cell component is presented with special structural and visual properties; at the molecular level a cell membrane composition and the underlying modeling method are discussed; and structural information is correlated with those at the functional level (represented by simplified energy-producing metabolic pathways). The organism used as an example is the unicellular Chlamydomonas reinhardtii, which might be important in future alternative energy production processes. Based on the 3D model, an educative S3D animation was created which was shown at conferences. The complete workflow was accomplished by using the open source 3D modeling software Blender. The discussed project including the animation is available from: http://Cm5.CELLmicrocosmos.org


Journal of Biotechnology | 2007

Functional integration of the HUP1 hexose symporter gene into the genome of C. reinhardtii: Impacts on biological H2 production

Anja Doebbe; Jens Rupprecht; Julia Beckmann; Jan H. Mussgnug; Armin Hallmann; Ben Hankamer; Olaf Kruse


Journal of Biological Chemistry | 2009

The metabolome ofChlamydomonas reinhardtiifollowing induction of anaerobic H2production by sulfur depletion.

Matthew Timmins; Wenxu Zhou; Jens Rupprecht; Lysha Lim; Skye R. Thomas-Hall; Anja Doebbe; Olaf Kruse; Ben Hankamer; Ute C. Marx; Steven M. Smith; Peer M. Schenk

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Ben Hankamer

University of Queensland

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Anant V. Patel

Bielefeld University of Applied Sciences

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Jens Rupprecht

University of Queensland

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