MEG Lab

Department of Experimental Medical Science, Lund University - SciLifeLab - TCSMT, University of Turku

The Microbial Evolutionary Genetics (MEG) Lab develops predictive, quantitative understanding of how microbial populations and communities evolve, with a particular focus on antimicrobial resistance, community resilience, and infection dynamics. We investigate when resistance evolution and treatment outcomes are predictable, and when they depend critically on ecological interactions among coexisting microbes.

Our research integrates experimental evolution, synthetic and clinically inspired microbial communities, genetic engineering, genomics, and bioinformatics. By combining ecological realism with experimental control and data-driven modelling, we aim to generate evolution-aware principles that inform antimicrobial therapy and improve understanding of persistent and treatment-resistant infections.

The lab is led by Assistant Professor (DDLS Fellow) Johannes Cairns and operates between Lund University and the University of Turku, in close collaboration with interdisciplinary infection research and data-driven life science environments in Sweden and Finland.

news

Sep 04, 2026 New preprint! In our new study, we investigate how far microbial monocultures can predict growth in multi-strain communities.
Aug 01, 2026 Welcome, Xhilda! She joins the MEG Lab as a Project Assistant, working on microbial evolution, antibiotic resistance, and developing an in vitro model for polymicrobial urinary tract infections.
Jun 09, 2026 New funding: Our lab has received SEK 1,000,000 from the Crafoord Foundation for the project CompESBL, which investigates competitive dynamics and horizontal transfer of antibiotic resistance plasmids between ESBL-producing and commensal Escherichia coli.
May 30, 2026 New ISME Communications study out: we found that total carbon availability, rather than resource complexity, is the primary factor shaping community state shifts in a synthetic microbial community.
May 28, 2026 New PNAS study out: we used a long-term synthetic microbial community experiment to show that evolution can drive major shifts in microbial community structure over time.

selected publications

2026

  1. bioRxiv_Kivikoski.jpeg
    Evolution induced state shifts in a long-term microbial community experiment
    Mikko Kivikoski, Johannes Cairns, Shane L. Hogle, and 4 more authors
    Proceedings of the National Academy of Sciences, 2026
    DOI

2025

  1. 2025_NatEE.jpeg
    Pre-exposure of abundant species to disturbance improves resilience in microbial metacommunities
    Johannes Cairns, Shane Hogle, Elizaveta Alitupa, and 2 more authors
    Nature Ecology & Evolution, 2025
    DOI

2022

  1. 2022_EvolLett.jpeg
    Strong selective environments determine evolutionary outcome in time-dependent fitness seascapes
    Johannes Cairns, Florian Borse, Tommi Mononen, and 2 more authors
    Evolution Letters, 2022

2020

  1. 2020_NatEE.jpeg
    Repeatable ecological dynamics govern the response of experimental communities to antibiotic pulse perturbation
    Johannes Cairns, Roosa Jokela, Lutz Becks, and 2 more authors
    Nature Ecology & Evolution, 2020

2018

  1. 2018_NatEE.jpeg
    Dual-stressor selection alters eco-evolutionary dynamics in experimental communities
    Teppo Hiltunen, Johannes Cairns, Jens Frickel, and 6 more authors
    Nature Ecology & Evolution, 2018

2017

  1. 2017_MolEcol.jpeg
    Genomic evolution of bacterial populations under coselection by antibiotics and phage
    Johannes Cairns, Jens Frickel, Matti Jalasvuori, and 2 more authors
    Molecular Ecology, 2017