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Max-Planck-Institut

3 ARTICLES PUBLISHED IN JoVE

Biology

Annotation of Plant Gene Function via Combined Genomics, Metabolomics and Informatics

¹Molekulare Pflanzenphysiologie, Max-Planck-Institut

Combination of genomics, co-expression gene analysis and the identification of target compounds via metabolism give gene functional annotation.

Environment

Transcript and Metabolite Profiling for the Evaluation of Tobacco Tree and Poplar as Feedstock for the Bio-based Industry

Colin Ruprecht¹, Takayuki Tohge¹, Alisdair Fernie¹, Cara L. Mortimer², Amanda Kozlo², Paul D. Fraser², Norma Funke¹, Igor Cesarino^3,4, Ruben Vanholme^3,4, Wout Boerjan^3,4, Kris Morreel^3,4, Ingo Burgert^5,6, Notburga Gierlinger^5,6, Vincent Bulone⁷, Vera Schneider⁸, Andrea Stockero⁸, Juan Navarro-Aviñó⁹, Frank Pudel¹⁰, Bart Tambuyser¹¹, James Hygate¹², Jon Bumstead¹³, Louis Notley¹³, Staffan Persson^1,14

¹Max Planck Institute for Molecular Plant Physiology, ²School of Biological Sciences, Plant Molecular Science, Centre for Systems and Synthetic Biology, Royal Holloway, University of London, ³Department of Plant Systems Biology, VIB, ⁴Department of Plant Biotechnology and Bioinformatics, UGhent, ⁵Institute for Building Materials, ETH Zurich, ⁶Applied Wood Materials, EMPA, ⁷Division of Glycoscience, School of Biotechnology, AlbaNova University Center, Royal Institute of Technology (KTH), ⁸European Research and Project Office GmbH, ⁹ABBA Gaia S.L., ¹⁰Pflanzenöltechnologie, ¹¹Capax Environmental Services, ¹²Green Fuels, ¹³Neutral Consulting Ltd, ¹⁴Plant Cell Biology Research Centre, School of Botany, University of Melbourne

Plant biomass offers a renewable resource for multiple products, including fuel, feed, food, and a variety of materials. In this paper we investigate the properties of tobacco tree (Nicotiana glauca) and poplar as suitable sources for a biorefinery pipeline.

Biochemistry

Large-Scale Multi-Omics Genome-Wide Association Studies (Mo-GWAS): Guidelines for Sample Preparation and Normalization

Mustafa Bulut¹, Alisdair R. Fernie^1,2, Saleh Alseekh^1,2

¹Max-Planck-Institute of Molecular Plant Physiology, ²Center of Plant Systems Biology and Biotechnology

In this protocol, we present an optimized workflow, which combines an efficient and fast sample preparation of many samples. In addition, we provide a step-by-step guide to reduce analytical variations for high-throughput evaluation of metabolic GWAS studies.