Mikkel Meyn Liljegren

Principal Engineer - Department of Biosciences

Norwegian PhD student at CEES, starting October 2012. I'm working on the Red Queen perspective under Professor Stenseth and doctors Fischer and Trosvik, using satelite molecular markers to track evolutionary changes in competing strains of E. coli.

Before coming to CEES I was a master's student and associate researcher in the research group for pharmaco-epidemiology and bacterial adaptation at the University of Tromsø, working on molecular mechanisms involved in transformation and DNA repair in the soil bacteria Acinetobacter baylyi, and pilot experiments on E. coli competition to determine fitness cost of certain forms of antibiotics resistance.

My research interests are in bacterial evolution, especially in terms of fitness costs of horizontal gene transfer/sexual reproduction (to the degree bacteria can be said to have any), competitive evolution between host/parasite, and the molecular mechanics behind and spread of antibiotics resistance and virulence factors.

Tags: Bacteria, Ecology, Evolutionary Ecology, Macroevolution, Microbial Ecology, Microbiology, Molecular biology, Molecular evolution, Molecular markers

Publications

  • Hülter, Nils Fredrik; Sørum, Vidar; Borch-Pedersen, Kristina; Liljegren, Mikkel Meyn; Utnes, Ane; Primicerio, Raul; Harms, Klaus & Johnsen, Pål Jarle (2017). Costs and benefits of natural transformation in Acinetobacter baylyi. BMC Microbiology.  ISSN 1471-2180.  17(34), s 1- 10 . doi: 10.1186/s12866-017-0953-2 Full text in Research Archive.
  • Liljegren, Mikkel Meyn; De Muinck, Eric & Trosvik, Pål (2016). Microsatellite length scoring by single molecule real time sequencing - Effects of sequence structure and PCR regime. PLoS ONE.  ISSN 1932-6203.  11(7), s 1- 17 . doi: 10.1371/journal.pone.0159232

View all works in Cristin

  • Liljegren, Mikkel Meyn (2015). Closed-system ecology and the Red Queen: Molecular models and microbes.
  • Liljegren, Mikkel Meyn (2013). Closed-system ecology and the Red Queen: Using microbial cultures to create modelling systems for long-term competitive coevolution.

View all works in Cristin

Published Oct. 2, 2012 1:10 PM - Last modified Aug. 15, 2014 11:30 AM

Projects