Tag: Microbial model communities

I am happy to share the news that my first doctoral student – Emil Burman – successfully defended his thesis yesterday, and can now introduce himself as Dr. Burman.

And in what a way he defended! During the three hour defense, he was asked all the hard questions from his opponent – Akos Kovács – who did an amazing job bringing out Emil’s vast and diverse knowledge of the field. In fact, the committee noted afterwards that it took more than one and a half hours of questioning before Emil had to admit “I don’t know the answer to that”.

Emil’s thesis, titled “Genetic Contributions to Invasion and Biofilm Disruption in a Microbial Model Community“, used the microbial model community THOR (1) to investigate community responses to environmental stress and microbial invasion. The thesis (2) consists of five papers, the first dealing with how temperature affects THOR (3), the second with how pathogenicity is related to competition ability in a community setting, the third about the genetic determinants of antibiotic susceptibility in Pseudomonas aeruginosa, the fourth about invasion with P. aeruginosa into THOR, and the last one is a proteomics study about one of the strongest hits in paper IV.

Emil has used a range of techniques, including traditional microbiological assays, transposon mutagenesis (INSeq), and proteomics, to identify genetic determinants of community stability and disruption. This has allowed him to explore how cooperative traits emerge and how pathogens like Pseudomonas aeruginosa interfere with community dynamics. His thesis can be found in an online version here.

References

1. Lozano GL, Bravo JI, Garavito Diago MF, Park HB, Hurley A, Peterson SB, Stabb EV, Crawford JM, Broderick NA, Handelsman J: Introducing THOR, a Model Microbiome for Genetic Dissection of Community Behavior. mBio, 10, 2, e02846-18 (2019). doi: 10.1128/mBio.02846-18
2. Burman E: Genetic Contributions to Invasion and Biofilm Disruption in a Microbial Model Community. PhD Thesis, University of Gothenburg (2025). https://gupea.ub.gu.se/handle/2077/87262
3. Burman E, Bengtsson-Palme J: Microbial community interactions are sensitive to small differences in temperature. Frontiers in Microbiology, 12, 672910 (2021). doi: 10.3389/fmicb.2021.672910

This week, in a stroke of luck coinciding with my conference presentation on the same topic, my review paper on microbial model communities came out in Computational and Structural Biotechnology Journal. The paper (1) provides an overview of the existing microbial model communities that have been developed for different purposes and makes some recommendations on when to use what kind of community. I also make a deep-dive into community intrinsic-properties and how to capture and understand how microbes growing together interact in a way that is not predictable from how they grow in isolation.

The main take-home messages of the paper are that 1) there already exists a quite diverse range of microbial model communities – we probably don’t need a wealth of additional model systems, 2) there need to be better standardization and description of the exact protocols used – this is more important in multi-species communities than when species are grown in isolation, and 3) the researchers working with microbial model communities need to settle on a ‘gold standard’ set of model communities, as well as common definitions, terms and frameworks, or the complexity of the universe of model systems itself may throw a wrench into the research made using these model systems.

The paper was inspired by the work I did in Jo Handelsman‘s lab on the THOR model community (2), which I then have brought with me to the University of Gothenburg. In the lab, we are also setting up other model systems for microbial interactions, and in this process I thought it would be useful to make an overview of what is already out there. And that overview then became this review paper.

The paper is fully open-access, so there is really not much need to go into the details here. Go and read the entire thing instead (or just get baffled by Table 1, listing the communities that are already out there!)

References

1. Bengtsson-Palme J: Microbial model communities: To understand complexity, harness the power of simplicity. Computational and Structural Biotechnology Journal, in press (2020). doi: 10.1016/j.csbj.2020.11.043
2. Lozano GL, Bravo JI, Garavito Diago MF, Park HB, Hurley A, Peterson SB, Stabb EV, Crawford JM, Broderick NA, Handelsman J: Introducing THOR, a Model Microbiome for Genetic Dissection of Community Behavior. mBio, 10, 2, e02846-18 (2019). doi: 10.1128/mBio.02846-18