#Growth-coupled #selection just got an update ! In the last years, E. coli selection strains for #central , #amino #acid and #energy metabolism intermediates were created. So, we compiled them and revisit the core concepts of growth coupling.

RT @PabloINik: #Synthetic C1 #metabolism in Pseudomonas putida enables strict formatotrophy and methylotrophy via the reductive glycine pat….

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4) Many thanks to @BDronsella and @erblabs for all the interesting discussions. In addition, want to thank @haihe10, María Suárez Diez, and Elad Noor for constructive feedback on this work!.

3) My hope is that our work can serve as #starting point to compile selection strains into a readily accessible #collection. Let me know if you’d find that interesting!.

2) To make the metabolism schemes broadly accessible, you can download the .ai files from ! Can only recommend laminating those to sketch on when discussing anything metabolism :) .

1) We dive into how strain growth parameters and pathway attributes are correlated, update some of the most central #schemes to our work (which I first got to work with in the Bar-Even lab!) and reflect on future developments in the field.

RT @PabloINik: Implementing synthetic serine cycles in #Pseudomonas putida unlock methanol assimilation in our favorite bug with carbon con….

RT @mpi_marburg: 📢We are thrilled that our Microbes for Climate (M4C) Cluster of Excellence has been selected for the 2025 Excellence Strat….

RT @fidelormz: I'm truly excited to announce our new publication in @Nature unraveling a central picture of the Methyl-coenzyme M reductase….

RT @AriSatanowski: Excited to share a main project from my PhD, out now in @NatureComms! 📝.We've designed and brought to life the “CORE cyc….

RT @PabloINik: Seven Critical Challenges in Synthetic One-Carbon Assimilation and Their Potential Solutions—led by @FavoinoGiusi & @OscarPu….

RT @marchal_dg: 🌿🔬How can we fix #CO2 more efficiently in biological systems? Our new study introduces the CORE cycle, a synthetic pathwa….

RT @sgqcheng: 📑📑📑#synthetic_biology @enricooorsi @mirbachh @PabloINik @erblabs present a workflow for designing versatile auxotrophic metab….

RT @BDronsella: Check out this amazing work on engineering, characterizing and using six novel glyoxylate sensor strains led by @enricoorsi….

RT @PabloINik: Computation-aided designs enable developing auxotrophic #metabolic #sensors for wide-range glyoxylate and glycolate detectio….

@NatureComms 9) It was a true pleasure to work with @enricoorsi , @haihe10 , @AriSatanowski , @PabloINik @erblabs and all co-authors involved. The origins of the strains go way back to @WeTheBarEvenLab and Charles Cotton creating the first strains - I am more than grateful to see it out !.

@NatureComms 8) The sensor strains are supposed to become a #community resource – so please feel free to reach out to us if you could apply them in your projects! This work would not have been possible without @enricoorsi doing a tremendous job at leading it.

@NatureComms 7) Of course, you can also use them to detect glyoxylate or glycolate in #environmental applications. For example, we could quantify how much glycolate was produced by #cyanobacteria during #photorespiratory growth based on the OD our sensors reached.

@NatureComms 6) What can you use those sensors for ? Amongst other things, to select for synthetic metabolic modules. As an example in the context of #C1assimilation, we engineered a module of the HOPAC cycle and show that we can determine the best #expression strength for the catalysts.

@NatureComms 5) Next, we characterised the strains by verifying expected metabolic fluxes by isotope tracing and determining their selective demands with #glyoxylate and #glycolate.