Publications - Cell and Metabolic Biology

In oilseed rape (Brassica napus), the glucosyltransferase UGT84A9 catalyzes the formation of 1-O-sinapoyl-β-glucose, which feeds as acyl donor into a broad range of accumulating sinapate esters, including the major antinutritive seed component sinapoylcholine (sinapine). Since down-regulation of UGT84A9 was highly efficient in decreasing the sinapate ester content, the genes encoding this enzyme were considered as potential targets for molecular breeding of low sinapine oilseed rape. B. napus harbors two distinguishable sequence types of the UGT84A9 gene designated as UGT84A9-1 and UGT84A9-2. UGT84A9-1 is the predominantly expressed variant, which is significantly up-regulated during the seed filling phase, when sinapate ester biosynthesis exhibits strongest activity. In the allotetraploid genome of B. napus, UGT84A9-1 is represented by two loci, one derived from the Brassica C-genome (UGT84A9a) and one from the Brassica A-genome (UGT84A9b). Likewise, for UGT84A9-2 two loci were identified in B. napus originating from both diploid ancestor genomes (UGT84A9c, Brassica C-genome; UGT84A9d, Brassica A-genome). The distinct UGT84A9 loci were genetically mapped to linkage groups N15 (UGT84A9a), N05 (UGT84A9b), N11 (UGT84A9c) and N01 (UGT84A9d). All four UGT84A9 genomic loci from B. napus display a remarkably low micro-collinearity with the homologous genomic region of Arabidopsis thaliana chromosome III, but exhibit a high density of transposon-derived sequence elements. Expression patterns indicate that the orthologous genes UGT84A9a and UGT84A9b should be considered for mutagenesis inactivation to introduce the low sinapine trait into oilseed rape.

Searching and mining nuclear magnetic resonance (NMR)-spectra of naturally occurring substances is an important task to investigate new potentially useful chemical compounds. Multi-dimensional NMR-spectra are relational objects like documents, but consists of continuous multi-dimensional points called peaks instead of words. We develop several mappings from continuous NMR-spectra to discrete text-like data. With the help of those mappings any text retrieval method can be applied. We evaluate the performance of two retrieval methods, namely the standard vector space model and probabilistic latent semantic indexing (PLSI). PLSI learns hidden topics in the data, which is in case of 2D-NMR data interesting in its owns rights. Additionally, we develop and evaluate a simple direct similarity function, which can detect duplicates of NMR-spectra. Our experiments show that the vector space model as well as PLSI, which are both designed for text data created by humans, can effectively handle the mapped NMR-data originating from natural products. Additionally, PLSI is able to find meaningful ”topics” in the NMR-data.

Searching and mining nuclear magnetic resonance (NMR)-spectra of naturally occurring products is an important task to investigate new potentially useful chemical compounds. We develop a set-based similarity function, which, however, does not sufficiently capture more abstract aspects of similarity. NMR-spectra are like documents, but consists of continuous multi-dimensional points instead of words. Probabilistic semantic indexing (PLSI) is an retrieval method, which learns hidden topics. We develop several mappings from continuous NMR-spectra to discrete text-like data. The new mappings include redundancies into the discrete data, which proofs helpful for the PLSI-model used afterwards. Our experiments show that PLSI, which is designed for text data created by humans, can effectively handle the mapped NMR-data originating from natural products. Additionally, PLSI combined with the new mappings is able to find meaningful ”topics” in the NMR-data.

Resveratrol is a phytoalexin produced in various plants like wine, peanut or pine in response to fungal infection or UV irradiation, but it is absent in members of the Brassicaceae. Moreover, resveratrol and its glucoside (piceid) are considered to have beneficial effects on human health, known to reduce heart disease, arteriosclerosis and cancer mortality. Therefore, the introduction of the gene encoding stilbene synthase for resveratrol production in rapeseed is a tempting approach to improve the quality of rapeseed products. The stilbene synthase gene isolated from grapevine (Vitis vinifera L.) was cloned under control of the seed-specific napin promotor and introduced into rapeseed (Brassica napus L.) by Agrobacterium-mediated co-transformation together with a ds-RNA-interference construct deduced from the sequence of the key enzyme for sinapate ester biosynthesis, UDP-glucose:sinapate glucosyltransferase (BnSGT1), assuming that the suppression of the sinapate ester biosynthesis may increase the resveratrol production in seeds through the increased availability of the precursor 4-coumarate. Resveratrol glucoside (piceid) was produced at levels up to 361 μg/g in the seeds of the primary transformants. This value exceeded by far piceid amounts reported from B. napus expressing VST1 in the wild type sinapine background. There was no significant difference in other important agronomic traits, like oil, protein, fatty acid and glucosinolate content in comparison to the control plants. In the third seed generation, up to 616 μg/g piceid was found in the seeds of a homozygous T3-plant with a single transgene copy integrated. The sinapate ester content in this homozygous T3-plant was reduced from 7.43 to 2.40 mg/g. These results demonstrate how the creation of a novel metabolic sink could divert the synthesis towards the production of piceid rather than sinapate ester, thereby increasing the value of oilseed products.