What a resource!
Posts by Snorre Sulheim
Another example showing how common it is for microbes to release metabolites way beyond what's thought of as waste products
Characterization of phytoplankton-excreted metabolites mediating carbon flux through the surface ocean | PNAS www.pnas.org/doi/10.1073/...
Framework for microbiome-inspired functional synthetic communities
One of the biggest challenges in microbial biotechnology? Unlocking the potential of non-model microbes and synthetic communities! Glad to share our review @sonjablasche.bsky.social @simonemozzachiodi.bsky.social @kiranrpatil.bsky.social @cambridgebiosci.bsky.social🧵(1/7) doi.org/10.1016/j.co...
Cells maintain low metabolite pools to:
- enable substrate level regulation
- prevent competitive inhibition
- avoid side reactions
#microsky
www.cell.com/cell-systems...
Imbalance in gut microbial interactions as a marker of health and disease www.science.org/doi/10.1126/...
Nice thread on the importance of spatial structure in microbial communities
Really elegant work showing how spatial distance can determine the net effect of two interaction mechanisms
Metabolic blueprints of monocultures enable prediction and design of synthetic microbial consortia
A nice demonstration of how cross-feeding shapes small microbial community compositions
From Segré lab @dsegre.bsky.social
www.biorxiv.org/content/10.6...
Intra-species crossfeeding in K. pneumonia supports growth of co-cultivated partners. I think such commensal interactions are very common
journals.plos.org/plosbiology/...
Diagram illustrating "feed the enemy's enemy": ampicillin inhibits Pseudomonas aeruginosa. Citrobacter freundii acidifies the environment, further inhibiting P. aeruginosa.
New preprint from our lab www.biorxiv.org/content/10.1...! Andrea Dos Santos and Clément Vulin combine experiments and models showing how adding glucose can strengthen negative interactions between microbial species. This can be used in tandem with antibiotic treatment to inhibit pathogens!
This project wouldn't been possible without Peter Doubleday and @nzamboni.bsky.social at @imsb-eth.bsky.social. Peter conducted >10,000 mass spec analyses 🤯. So grateful for this opportunity to team up with the best of the best in metabolomics 😍
Read more: www.biorxiv.org/content/10.1...
#microsky
Note: Grab your laptop, the web app doesnt really work on your phone 🫤
Enabled by @lambdapp.bsky.social and Eric Ulrich 💪 and - as always - with strong support from @saramitri.bsky.social at @dmf-unil.bsky.social
Do you think transporters in E. coli contribute to metabolite release? No? Explore the effect of 66 different transporter knockout mutations on the exometabolome dynamics of ~300 metabolites yourself: keio.unil.ch
Teaser: Increased proline in ΔputP
#microsky #MEvoSky
After two rounds of "peer review" at Scientific reports 😵💫
Great to see the increased use of genome-scale models in microbial ecology. Here is another recent example: www.nature.com/articles/s41...
But why is no one questioning the often implicit assumption that growth-optimization at the community level is the driving force of cross-feeding?
Great opportunity with a very nice PI👇
A beautiful review of the factors influencing spatial organization of microbiomes
Thanks Greg!
Wouldn't have happened without the support of @saramitri.bsky.social and crucial contributions from @juliensluneau.bsky.social @andrewhq9.bsky.social @pengellab.bsky.social + Gunn, Eric, Maggie and Alisson
Thanks to @snf-fns.ch and others for funding :)
These findings raise many new questions (to us) and has changed how we think about the emergence of cross-feeding interactions.
Metabolite release rates are sensitive to changes in intracellular metabolism, suggesting that metabolism is optimized on the network level to use, reuse and retain metabolites proportionally to their relative value. Retaining or reusing "cheap" metabolites might not be worth the investment.
Also, the value of a metabolite is more important than any other factor in explaining variability in release rates
Across the board we find such a correlation. The only real exception is an engineered strain.
Here we propose and test the hypothesis that metabolite release generally constitutes a fitness cost that microbes have evolved to reduce. If this is true -> release of high-value metabolites should be more strongly selected against compared to low-value metabolites
Excited to share the first results from my postdoc at @dmf-unil.bsky.social with @saramitri.bsky.social
www.biorxiv.org/content/10.1...