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Displaying results 1 to 6 of 6.

Publications

Meißner, D.; Albert, A.; Böttcher, C.; Strack, D.; Milkowski, C.; The role of UDP-glucose:hydroxycinnamate glucosyltransferases in phenylpropanoid metabolism and the response to UV-B radiation in Arabidopsis thaliana Planta 228, 663-674, (2008) DOI: 10.1007/s00425-008-0768-3

Arabidopsis harbors four UDP-glycosyltransferases that convert hydroxycinnamates (HCAs) to 1-O-β-glucose esters, UGT84A1 (encoded by At4g15480), UGT84A2 (At3g21560), UGT84A3 (At4g15490), and UGT84A4 (At4g15500). To elucidate the role of the individual UGT84A enzymes in planta we analyzed gene expression, UGT activities and accumulation of phenylpropanoids in Arabidopsis wild type plants, ugt mutants and overexpressing lines. Individual ugt84A null alleles did not significantly reduce the gross metabolic flux to the accumulating compounds sinapoylcholine (sinapine) in seeds and sinapoylmalate in leaves. For the ugt84A2 mutant, LC/MS analysis revealed minor qualitative and quantitative changes of several HCA choline esters and of disinapoylspermidine in seeds. Overexpression of individual UGT84A genes caused increased enzyme activities but failed to produce significant changes in the pattern of accumulating HCA esters. For UGT84A3, our data tentatively suggest an impact on cell wall-associated 4-coumarate. Exposure of plants to enhanced UV-B radiation induced the UGT84A-encoding genes and led to a transient increase in sinapoylglucose and sinapoylmalate concentrations.
Publications

Fellenberg, C.; Milkowski, C.; Hause, B.; Lange, P.-R.; Böttcher, C.; Schmidt, J.; Vogt, T.; Tapetum-specific location of a cation-dependent O-methyltransferase in Arabidopsis thaliana Plant J. 56, 132-145, (2008) DOI: 10.1111/j.1365-313X.2008.03576.x

Cation‐ and S ‐adenosyl‐l ‐methionine (AdoMet)‐dependent plant natural product methyltransferases are referred to as CCoAOMTs because of their preferred substrate, caffeoyl coenzyme A (CCoA). The enzymes are encoded by a small family of genes, some of which with a proven role in lignin monomer biosynthesis. In Arabidopsis thaliana individual members of this gene family are temporally and spatially regulated. The gene At1g67990 is specifically expressed in flower buds, and is not detected in any other organ, such as roots, leaves or stems. Several lines of evidence indicate that the At1g67990 transcript is located in the flower buds, whereas the corresponding CCoAOMT‐like protein, termed AtTSM1, is located exclusively in the tapetum of developing stamen. Flowers of At1g67990 RNAi‐suppressed plants are characterized by a distinct flower chemotype with severely reduced levels of the N  ′,N  ′′‐ bis‐(5‐hydroxyferuloyl)‐N  ′′′‐sinapoylspermidine compensated for by N1 ,N5 ,N10 ‐tris‐(5‐hydroxyferuloyl)spermidine derivative, which is characterized by the lack of a single methyl group in the sinapoyl moiety. This severe change is consistent with the observed product profile of AtTSM1 for aromatic phenylpropanoids. Heterologous expression of the recombinant protein shows the highest activity towards a series of caffeic acid esters, but 5‐hydroxyferuloyl spermidine conjugates are also accepted substrates. The in vitro substrate specificity and the in vivo RNAi‐mediated suppression data of the corresponding gene suggest a role of this cation‐dependent CCoAOMT‐like protein in the stamen/pollen development of A. thaliana .
Publications

Böttcher, C.; Centeno, D.; Freitag, J.; Höfgen, R.; Köhl, K.; Kopka, J.; Kroymann, J.; Matros, A.; Mock, H.-P.; Neumann, S.; Pfalz, M.; von Roepenack-Lahaye, E.; Schauer, N.; Trenkamp, S.; Zubriggen, M.; Fernie, A. R.; Teaching (and learning from) metabolomics: The 2006 PlantMetaNet ETNA Metabolomics Research School Physiol. Plant. (2008) DOI: 10.1111/j.1399-3054.2007.00990.x

Under the auspices of the European Training and Networking Activity programme of the European Union, a ‘Metabolic Profiling and Data Analysis’ Plant Genomics and Bioinformatics Summer School was hosted in Potsdam, Germany between 20 and 29 September 2006. Sixteen early career researchers were invited from the European Union partner nations and the so‐called developing nations (Appendix). Lectures from invited leading European researchers provided an overview of the state of the art of these fields and seeded discussion regarding major challenges for their future advancement. Hands‐on experience was provided by an example experiment – that of defining the metabolic response of Arabidopsis to treatment of a commercial herbicide of defined mode of action. This experiment was performed throughout the duration of the course in order to teach the concepts underlying extraction and machine handling as well as to provide a rich data set with which the required computation and statistical skills could be illustrated. Here we review the state of the field by describing both key lectures given at and practical aspects taught at the summer school. In addition, we disclose results that were obtained using the four distinct technical platforms at the different participating institutes. While the effects of the chosen herbicide are well documented, this study looks at a broader number of metabolites than in previous investigations. This allowed, on the one hand, not only to characterise further effects of the herbicide than previously observed but also to detect molecules other than the herbicide that were obviously present in the commercial formulation. These data and the workshop in general are all discussed in the context of the teaching of metabolomics.
Publications

Böttcher, C.; von Roepenack-Lahaye, E.; Schmidt, J.; Schmotz, C.; Neumann, S.; Scheel, D.; Clemens, S.; Metabolome Analysis of Biosynthetic Mutants Reveals a Diversity of Metabolic Changes and Allows Identification of a Large Number of New Compounds in Arabidopsis Plant Physiol. 147, 2107-2120, (2008) DOI: 10.1104/pp.108.117754

Metabolomics is facing a major challenge: the lack of knowledge about metabolites present in a given biological system. Thus, large-scale discovery of metabolites is considered an essential step toward a better understanding of plant metabolism. We show here that the application of a metabolomics approach generating structural information for the analysis of Arabidopsis (Arabidopsis thaliana) mutants allows the efficient cataloging of metabolites. Fifty-six percent of the features that showed significant differences in abundance between seeds of wild-type, transparent testa4, and transparent testa5 plants could be annotated. Seventy-five compounds were structurally characterized, 21 of which could be identified. About 40 compounds had not been known from Arabidopsis before. Also, the high-resolution analysis revealed an unanticipated expansion of metabolic conversions upstream of biosynthetic blocks. Deficiency in chalcone synthase results in the increased seed-specific biosynthesis of a range of phenolic choline esters. Similarly, a lack of chalcone isomerase activity leads to the accumulation of various naringenin chalcone derivatives. Furthermore, our data provide insight into the connection between p-coumaroyl-coenzyme A-dependent pathways. Lack of flavonoid biosynthesis results in elevated synthesis not only of p-coumarate-derived choline esters but also of sinapate-derived metabolites. However, sinapoylcholine is not the only accumulating end product. Instead, we observed specific and sophisticated changes in the complex pattern of sinapate derivatives.
Publications

Ay, N.; Clauß, K.; Barth, O.; Humbeck, K.; Identification and characterization of novel senescence-associated genes from barley (Hordeum vulgare) primary leaves Plant Biol. 10, 121-135, (2008) DOI: 10.1111/j.1438-8677.2008.00092.x

Leaf senescence is the final developmental stage of a leaf. The progression of barley primary leaf senescence was followed by measuring the senescence‐specific decrease in chlorophyll content and photosystem II efficiency. In order to isolate novel factors involved in leaf senescence, a differential display approach with mRNA populations from young and senescing primary barley leaves was applied. In this approach, 90 senescence up‐regulated cDNAs were identified. Nine of these clones were, after sequence analyses, further characterized. The senescence‐associated expression was confirmed by Northern analyses or quantitative RealTime‐PCR. In addition, involvement of the phytohormones ethylene and abscisic acid in regulation of these nine novel senescence‐induced cDNA fragments was investigated. Two cDNA clones showed homologies to genes with a putative regulatory function. Two clones possessed high homologies to barley retroelements, and five clones may be involved in degradation or transport processes. One of these genes was further analysed. It encodes an ADP ribosylation factor 1‐like protein (HvARF1) and includes sequence motifs representing a myristoylation site and four typical and well conserved ARF‐like protein domains. The localization of the protein was investigated by confocal laser scanning microscopy of onion epidermal cells after particle bombardment with chimeric HvARF1‐GFP constructs. Possible physiological roles of these nine novel SAGs during barley leaf senescence are discussed.
Publications

Tautenhahn, R.; Böttcher, C.; Neumann, S.; Highly sensitive feature detection for high resolution LC/MS BMC Bioinformatics 9, 504, (2008) DOI: 10.1186/1471-2105-9-504

BackgroundLiquid chromatography coupled to mass spectrometry (LC/MS) is an important analytical technology for e.g. metabolomics experiments. Determining the boundaries, centres and intensities of the two-dimensional signals in the LC/MS raw data is called feature detection. For the subsequent analysis of complex samples such as plant extracts, which may contain hundreds of compounds, corresponding to thousands of features – a reliable feature detection is mandatory.ResultsWe developed a new feature detection algorithm centWave for high-resolution LC/MS data sets, which collects regions of interest (partial mass traces) in the raw-data, and applies continuous wavelet transformation and optionally Gauss-fitting in the chromatographic domain. We evaluated our feature detection algorithm on dilution series and mixtures of seed and leaf extracts, and estimated recall, precision and F-score of seed and leaf specific features in two experiments of different complexity.ConclusionThe new feature detection algorithm meets the requirements of current metabolomics experiments. centWave can detect close-by and partially overlapping features and has the highest overall recall and precision values compared to the other algorithms, matchedFilter (the original algorithm of XCMS) and the centroidPicker from MZmine. The centWave algorithm was integrated into the Bioconductor R-package XCMS and is available from http://www.bioconductor.org/
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