The IPB has once again been recognized for its exemplary actions in terms of equal opportunity-oriented personnel and organizational policies and has received the TOTAL E-QUALITY certification for the…
The Plant Science Student Conference (PSSC) has been organised by students from the two Leibniz institutes, IPK and IPB, every year for the last 20 years. In this interview, Christina Wäsch (IPK) and…
Sugarcane mosaic virus (SCMV) is an important disease in maize, which is emerging in Germany since 1983. Using this pest as a model for the inheritance of oligogenic traits, we clarified the genetic basis for resistance in early maturing European maize germplasm. Screening of 122 adapted European inbred lines identified three completely resistant lines, which were used for further analyses. The genetics of SCMV resistance was investigated by allelism tests in field experiments combined with QTL and bulked segregant analyses (BSA) on the marker level. QTL analyses revealed the presence of two major genes Scm1 and Scm2 plus three minor QTL. Involvement of Scm1 and Scm2 in the inheritance of SCMV resistance could be confirmed by BSA in a second cross. Breeders can make use of tightly linked STS markers for marker-assisted selection (MAS) as well as our SCMV resistant flint lines to improve their elite germplasm. Currently, recurrent backcrossing with phenotypic selection is the most appropriate and cost effective breeding method. With decreasing costs of DNA chip technology, MAS can be competitive with phenotypic selection in the near future. Further objectives of our research are the isolation and cloning of Scm1 and Scm2. To achieve this goal we follow two different approaches. (1) Positional cloning based on more than 500 AFLP primer combinations resulted in Scm1/Scm2 specific markers with a resolution of approximately 0.2 cM in the respective regions. (2) Resistance gene analogues (RGAs), cosegregating with the target genes are used to identify further candidate genes for transformation experiments.
Publications
Hinneburg, A.; Keim, D. A.; Brandt, W.;Clustering 3D-structures of small amino acid chains for detecting dependences from their sequential context in proteinsProc. IEEE International Symposium on Bio-Informatics and Biomedical Engineering43-49(2000)DOI: 10.1109/BIBE.2000.889588
In the past, a good number of rotamer libraries have been published, which allow a deeper understanding of the conformational behavior of amino acid residues in proteins. Since the number of available high-resolution X-ray protein structures has grown significantly over the last years, a more comprehensive analysis of the conformational behavior is possible today. In this paper, we present a method to compile a new class of rotamer libraries for detecting interesting relationships between residue conformations and their sequential context in proteins. The method is based on a new algorithm for clustering residue conformations. To demonstrate the effectiveness of our method, we apply our algorithm to a library consisting of all 8000 tripeptide fragments formed by the 20 native amino acids. The analysis shows some very interesting new results, namely that some specific tripeptide fragments show some unexpected conformation of residues instead of the highly preferred conformation. In the neighborhood of two asparagine residues, for example, threonine avoids the conformation which is most likely to occur otherwise. The new insights obtained by the analysis are important in understanding the formation and prediction of secondary structure elements and will consequently be crucial for improving the state-of-the-art of protein folding.