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DBC SEMINAR
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The DBC Seminars brings world leading computational scientists to present their work in a colloquium and to meet with faculty and students. The colloquium has broad attendance by faculty, staff, masters and PhD students from the University of Lausanne and EPFL.
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Towards predicting evolution using mathematical models
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Adaptive laboratory evolution has been successfully used to obtain cells with improved properties through natural selection. While being conceptually and operationally simple, it can provide access to complex traits without any knowledge of the involved genetic and regulatory elements. Yet, the method is inherently limited to growth-associated traits like utilization of difficult-to-assimilate nutrients. This precludes a large range of phenotypes of interest, e.g. metabolite secretion, that incur a fitness cost. I will introduce tacking trait, a concept recently developed by my lab enabling predictive evolution of a costly metabolic trait through natural selection. The concept is inspired from the tacking maneuver in sailing allowing traversing upwind, a situation, I will argue, that is analogous to selecting for a fitness-costly trait.
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Kiran’s lab is interested in deciphering metabolic interactions in microbial ecosystems and experimental evolution. He studied Chemical Engineering at the Indian Institute of Technology (Mumbai, India). He moved to the Technical University of Denmark (DTU) to work with Prof. Jens Nielsen and obtained his PhD in Systems Biology. Kiran was then appointed as Assistant Professor at DTU where he worked on transcriptional regulation and metabolic engineering. In 2010, Kiran joined the Structural and Computational Biology Unit at the European Molecular Biology Laboratory (EMBL-Heidelberg, Germany). He was appointed Director of Research at the MRC Toxicology Unit (University of Cambridge) in 2019.
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Our new Twitter Feed
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We have just released our new Twitter page.
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Make sure to follow the DBC.
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