Computation-aided designs enable developing auxotrophic metabolic sensors for wide-range glyoxylate and glycolate detection

Abstract Auxotrophic metabolic sensors (AMS) are microbial strains modified so that biomass formation correlates with the availability of specific metabolites. These sensors are essential for bioengineering (e.g., in growth-coupled designs) but creating them is often a time-consuming and low-through...

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Κύριοι συγγραφείς:	Enrico Orsi, Helena Schulz-Mirbach, Charles A. R. Cotton, Ari Satanowski, Henrik M. Petri, Susanne L. Arnold, Natalia Grabarczyk, Rutger Verbakel, Karsten S. Jensen, Stefano Donati, Nicole Paczia, Timo Glatter, Andreas M. Küffner, Tanguy Chotel, Farah Schillmüller, Alberto De Maria, Hai He, Steffen N. Lindner, Elad Noor, Arren Bar-Even, Tobias J. Erb, Pablo I. Nikel
Μορφή:	Artigo
Γλώσσα:	Inglês
Έκδοση:	Nature Portfolio 2025-03-01
Σειρά:	Nature Communications
Διαθέσιμο Online:	https://doi.org/10.1038/s41467-025-57407-3
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