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Omics tools for assessing effects of environmental stressors on the northern Atlantic key species Calanus finmarchicus Bjørn Henrik Hansen, Trond R. Størseth, Kolbjørn Zahlsen and Dag Altin Calanus finmarchicus Main objectives of the project: • • • • • • • • Marine ecological key species 2-3 mm pelagic copepod (zooplankton, microcrustacean) 300 mill tons annual production in the North Atlantic and Barents Seas Short generation time (~80 days in culture) Up to 50% of dry weight is lipids Very important food resource for commercial fish Important transfer route of environmental contaminants in the marine food web Launch a large-scale EST sequencing program Develop a custom-made oligonucleotide microarray transcriptomics Develop methods for metabolic profiling and fingerprinting metabonomics Use bioinformatics tools in order to analyze and correlate omics output for controlled exposure experiments • • TRANSCRIPTOMICS 454 FLX sequencing Assembly and annotation Probe design and array construction Experimental design Exposure experiment Library construction and sequencing We already have established three SSH libraries from copepods exposed to a mixture of stressors. Here a normalized library will be constructed by EcoArray Inc.. 454 FLX sequencing The normalized library will be sequenced by 454 FLX sequencing by EcoArray Inc./University of Florida. GC-MS and LC-MS Chromatographic methods will also be used to further study lipophilic endogenous metabolites in particular. Sequence annotation and array construction Sequences will be assembled and annotated (Blast2GO) before probes are designed and oligoarray produced (Agilent). TRANSCRIPTOMICS Image processing Data management Quality control Normalization Expression profiles 1.5e+07 FACH3/ile 1.0e+07 ala val val thr pro asn val FAallylic val pro FAb ile FAb 5.0e+06 cys lys ile cys bglc lys FAa ile met met 0.0e+00 thr 4 3 2 1 ppm FITNESS-RELATED ENDPOINTS Narcosis and survival Altered reproduction Developmental effects Biometry/morphology DNA damage SINTEF Materials and Chemistry Contact person: Bjørn Henrik Hansen ([email protected]) 0.1 0.0 loading value Integration, visualization and analysis -0.3 ile ile met Gene functional groups, pathways, networks (gene ontology, KEGG maps) -0.4 FAn-3CH3 thr Data interpretation Literature mining Subjective biological interpretation -0.5 2.0e+07 FACH2 phosphocholines bglc Statistics Using PLS/PCA we visualize differences in metabolic profiles between different experimental groups. Determine list of expressed genes METABOLOMICS Calanus culture High Resolution Magic Angle Spinning NMR Whole copepods were analyzed (n=5) with HR MAS NMR, and of the resulting spectrum 60 metabolites were resolved and characterized. -0.1 Normalized library Pooled sample Copepods exposed to heavy metals (mercury and copper), oil, heat, CO2, H2O2 and sampled at different developmental stages. -0.2 Pooled sample (different dev. stages and exposures) METABOLOMICS 0 1000 2000 3000 4000 Determine list of expressed metabolites variable Phenotypic anchoring of gene expression “Marker” gene identification Identify novel functions of known genes and possible functions of uncharacterized genes Effects of stressors Technology for a better society www.sintef.no