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dc.contributor.authorNielsen, Jens
dc.date.accessioned2016-03-16T12:53:36Z
dc.date.available2016-03-16T12:53:36Z
dc.date.issued2016-01-25
dc.identifier.urihttp://hdl.handle.net/10754/601414
dc.description.abstractThe yeast Saccharomyces cerevisiae is widely used for production of fuels, chemicals, pharmaceuticals and materials. Through metabolic engineering of this yeast a number of novel new industrial processes have been developed over the last 10 years. Besides its wide industrial use, S. cerevisiae serves as an eukaryal model organism, and many systems biology tools have therefore been developed for this organism. Among these genome-scale metabolic models have shown to be most successful as they easy integrate with omics data and at the same time have been shown to have excellent predictive power. Despite our extensive knowledge of yeast metabolism and its regulation we are still facing challenges when we want to engineer complex traits, such as improved tolerance to toxic metabolites like butanol and elevated temperatures or when we want to engineer the highly complex protein secretory pathway. In this presentation it will be demonstrated how we can combine directed evolution with systems biology analysis to identify novel targets for rational design-build-test of yeast strains that have improved phenotypic properties. In this lecture an overview of systems biology of yeast will be presented together with examples of how genome-scale metabolic modeling can be used for prediction of cellular growth at different conditions. Examples will also be given on how adaptive laboratory evolution can be used for identifying targets for improving tolerance towards butanol, increased temperature and low pH and for improving secretion of heterologous proteins.
dc.titleSystems Biology for Mapping Genotype-Phenotype Relations in Yeast
dc.typePresentation
dc.conference.dateJanuary 25-27, 2016
dc.conference.nameKAUST Research Conference on Computational and Experimental Interfaces of Big Data and Biotechnology
dc.conference.locationKAUST, Thuwal, Saudi Arabia
dc.contributor.institutionDepartment of Biology and Biological Engineering, Chalmers University of Technology, Gothenburg, Sweden
dc.contributor.institutionNovo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, DK-2800 Lyngby, Denmark
dc.contributor.institutionScience for Life Laboratory, Royal Instutute of Technology, Sweden


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