Regulatory control circuits for stabilizing long-term anabolic product formation in yeast

  • Vasil D'ambrosio
  • , Eleonora Dore
  • , Roberto Di Blasi
  • , Marcel van den Broek
  • , Suresh Sudarsan
  • , Jolanda ter Horst
  • , Francesca Ambri
  • , Morten Otto Alexander Sommer
  • , Peter Rugbjerg
  • , Jay D. Keasling
  • , Robert Mans
  • , Michael Krogh Jensen

Research output: Contribution to journalJournal articleResearchpeer-review

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Abstract

Engineering living cells for production of chemicals, enzymes and therapeutics can burden cells due to use of limited native co-factor availability and/or expression burdens, totalling a fitness deficit compared to parental cells encoded through long evolutionary trajectories to maximise fitness. Ultimately, this discrepancy puts a selective pressure against fitness-burdened engineered cells under prolonged bioprocesses, and potentially leads to complete eradication of high-performing engineered cells at the population level. Here we present the mutation landscapes of fitness-burdened yeast cells engineered for vanillin-β-glucoside production. Next, we design synthetic control circuits based on transcriptome analysis and biosensors responsive to vanillin-β-glucoside pathway intermediates in order to stabilize vanillin-β-glucoside production over ~55 generations in sequential passage experiments. Furthermore, using biosensors with two different modes of action we identify control circuits linking vanillin-β-glucoside pathway flux to various essential cellular functions, and demonstrate control circuits robustness and almost 2-fold higher vanillin-β-glucoside production, including 5-fold increase in total vanillin-β-glucoside pathway metabolite accumulation, in a fed-batch fermentation compared to vanillin-β-glucoside producing cells without control circuits.
Original languageEnglish
JournalMetabolic Engineering
Volume61
Pages (from-to)369-380
ISSN1096-7176
DOIs
Publication statusPublished - 2020

Keywords

  • Stability
  • Yeast
  • Production
  • Biosensor
  • Essential genes
  • Control circuits

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