* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project
Download MPI-Plant-Katagiri
Epitranscriptome wikipedia , lookup
Behavioural genetics wikipedia , lookup
Primary transcript wikipedia , lookup
Genetic engineering wikipedia , lookup
Short interspersed nuclear elements (SINEs) wikipedia , lookup
Heritability of IQ wikipedia , lookup
Essential gene wikipedia , lookup
Epigenetics of diabetes Type 2 wikipedia , lookup
Pathogenomics wikipedia , lookup
Site-specific recombinase technology wikipedia , lookup
Long non-coding RNA wikipedia , lookup
Epigenetics of neurodegenerative diseases wikipedia , lookup
Polycomb Group Proteins and Cancer wikipedia , lookup
Public health genomics wikipedia , lookup
Therapeutic gene modulation wikipedia , lookup
Gene expression programming wikipedia , lookup
Genomic imprinting wikipedia , lookup
History of genetic engineering wikipedia , lookup
Metabolic network modelling wikipedia , lookup
Microevolution wikipedia , lookup
Quantitative trait locus wikipedia , lookup
Mir-92 microRNA precursor family wikipedia , lookup
Ridge (biology) wikipedia , lookup
Designer baby wikipedia , lookup
Artificial gene synthesis wikipedia , lookup
Genome evolution wikipedia , lookup
Biology and consumer behaviour wikipedia , lookup
Genome (book) wikipedia , lookup
Nutriepigenomics wikipedia , lookup
Minimal genome wikipedia , lookup
July 5, morning Max-Planck-Institute for Molecular Plant Physiology (Golm, Germany) Hosts: Lothar Willmitzer, Mark Stitt, Wolf-R. Scheible, Michael Udvardi, Victoria Nikiforova, Joachim Selbig, Dirk Steinhauser. WTEC: Fumi Katagiri, Marvin Cassman, Adam Arkin, Fred Heineken An overview presentation was given by Mark Stitt. Organization: The institute has 25 independent groups and ~300 people (including administration). It is organized into departments, junior research groups, infrastructure groups, University guest groups, and guest groups. The three departments are one led by Lothar Willmitzer since 1995, which has 7 research groups, one led by Mark Stitt since 2000, which has 5 research groups, and one that Ralph Bock is starting. The departments have about 160 scientific staff members. Unlike other MPI, the departments in this institute are practically merged. The institute has a close relationship with the University of Potsdam, which is adjacent to the institute. Founding mission of the institute (1994): To follow an integrated research approach to solve basic questions in plant physiology, combining methods from genetics, molecular biology, chemistry and physics. Current situation: Informatics efforts were initiated out of necessity to handle a large amount of data generated by wet labs. Thus, the research efforts have evolved into systems biology, which is strongly based on generation of high throughput data in wet labs. Projects: The general experimental scheme is described as “genetic diversity growing in defined environments is subjected to broad phenotyping.” A variety of experimental design concepts are employed: biased vs. unbiased, single gene vs. multiple genes, alter gene expression vs. alter proteins. Single gene-oriented “rational metabolic engineering” often did not work due to the complexity of metabolic networks. This led to development of broad phenotyping technology platforms to combine with systematic disruptions of genes involved. More recently, an approach for study of polygenic traits is included in the program. Genetic diversity: (1) Systematic or targeted over-expression of genes in major metabolic pathways and others (2) High throughput random gene silencing by antisense RNA (3) Systematic generation of T-DNA tagged knockout lines (4) Gain access to introgression lines (Arabidopsis, tomato, maize, pea) (5) TILLING, which identifies individuals with point mutations in genes of interest from a heavily-mutagenized population. Phenotyping technologies: (1) Expression profiling The Affymetrix array is used for Arabidopsis. In-house arrays are used for tomato and Lotus. A technology gap was filled by real time RT-PCR for >1400 Arabidopsis transcription factor genes. (2) Proteomics More than 20 quantitative enzyme assays, which were automated except for the protein extraction step, were developed and used for measurements of protein levels. The assays are based on enzymatic cycling assays (G3P-DAP, NADP+-NADPH, NAD+-NADH) (3) Metabolic profiling Currently, 100 known and 500 unknown compounds can be profiled. Arabidopsis is believed to have ~20,000 compounds. Multiple platforms, such as GC/TOF, LC, etc., are required for good coverage. Stitt doubts that NMR would dramatically reduce the number of platforms needed. The relative ratios to isotope standards are used for quantitation. ~20% of total runs are used for controls. (4) Specialized profiling system Cell wall profiling is performed by a combination of enzymes that specifically cut sugar chains and MALDI-TOF. (5) Efforts are being made to run various profiling technologies for different subcellular compartments and with a single cell/tissue. Integrate, display, and analyze data. Interactions between a central Bioinformatics group (research and service) and each lab group are facilitated by bioinformatics people in each group. A large bioinformatics tool box for mining and visualization is provided for discovery by biologists (CDB.DB). Interpretation is aided by visualization against the background of known pathways and processes (MapMan). Single genes to multiple genes To study polygenic traits, introgression lines are used. Each introgression line carries one chromosomal region of one inbred line in the chromosomal background of another inbred line. Having a collection of introgression lines that collectively cover the entire genome of the former inbred line will help dissect polygenic traits that differ between two inbred lines into monogenic traits. Such introgression lines in tomato (150 lines) have been established by Dani Zamir (Hebrew University) and a database including a break-point map and phenotype information for each line is maintained at Cornell University. The MPI group takes part in the international efforts of phenotyping the lines by using its metabolic profiling technology. Specific projects were discussed in the following presentations. Victoria Nujufiriva Discovery of sulfur-starvation related genes based on correlations in expression and metabolite profiles was presented. The threshold for significance was decided by comparing with correlations in shuffled data. A network, including cause-effect directionality, was built based on the significant correlations and known links. Two subnetworks were studied closely. Joachim Selbig (Bioinformatics) HARUSPEX, Arabidopsis expression database. MapCave, systematic way to expand annotations MetaGeneAnalyse, a suite of analytical methods. PaVESy, pathway visualization and editing (KEGG is generic, need to specialize it for plants) PDM (plant diagnostic module), supervised learning for diagnostics. Decision tree machine was used because it is easy to grasp the decision making process used. For community use, the software was made to be easy to use, and in this way, more people use the software. Consequently, more feedback can be obtained from users. The small size of the research community helps in this respect. Dirk Steinhauser Comprehensive systems biology database (CSB.DB) It holds publicly available expression profile data from different organisms. It allows coresponse query and returns a functional category summary. This helps identify candidate genes, which can be further analyzed using CSB.DB, including use of MapMan, which is a functional category-classified expression viewer. Two questions were raised: 1) How should particular software be compared with other similar ones and 2) what is the best strategy for a research community to deal with competing developments? Wolf-R Scheible Forward genetics had not been very successful with nitrogen-regulation studies due to functionally duplicated genes (recent duplication of the genome is common in plants). Therefore, a reverse genetic approach was taken. Their real time RT-PCR platform for Arabidopsis transcription factor genes quantitates >1400 genes (there are ~2000 transcription factor gene in total) with >90% reliability with 1 transcript/1000 cells sensitivity, which is much better performance than an Affymetrix array can achieve. The development of the platform required ~$300k initial investment. 40 nitrogen-regulated genes were identified and analyzed by inducible overexpression. Mark Stitt presented further details of enzyme activity profiling and MapMan. Enzyme activity profiling was used to measure protein level changes during a day, and the protein level changes were compared with the corresponding mRNA changes. Generally, no clear correlations between mRNA and protein level changes were observed. The degree of correlations between mRNA and protein levels varies in different settings. Thus, measuring mRNA and protein levels in each setting is important. Budget: The institute receives ~€8m for everything except depreciation. ~€3.5m of this and additional ~€3.5m from competitive grants are used as the research budget. Generally, the overhead rate is zero or up to 20%. Education: Most bioinformaticians begin as computer scientists. To develop computer scientists into bioinformaticians, motivation to take up biological studies is an important factor. Germany should have initiated efforts in bioinformatics education earlier. MPIs cannot influence college programs, which is an unfortunate situation since MPIs are often leading research institutes in the country. Another challenge in changing education programs at the college level is that universities cannot make decisions about curricula by themselves – new curricula need to be approved by higher governmental organizations.