Genetic circuit performance under conditions relevant for industrial bioreactors.

Genetic circuit performance under conditions relevant for industrial bioreactors.
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DOI:
10.1021/sb3000832
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发表时间:
2012-11-16
影响因子:
4.7
通讯作者:
Voigt, Christopher A.
Voigt, Christopher A.
中科院分区:
生物学2区
文献类型:
--
作者:
Moser, Felix;Broers, Nicolette J.;Hartmans, Sybe;Tamsir, Alvin;Kerkman, Richard;Roubos, Johannes A.;Bovenberg, Roel;Voigt, Christopher A.

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Synthetic genetic programs promise to enable novel applications in industrial processes. For such applications, the genetic circuits that compose programs will require fidelity in varying and complex environments. In this work, we report the performance of two synthetic circuits in Escherichia coli under industrially relevant conditions, including the selection of media, strain, and growth rate. We test and compare two transcriptional circuits: an AND and a NOR gate. In E. coli DH10B, the AND gate is inactive in minimal media; activity can be rescued by supplementing the media and transferring the gate into the industrial strain E. coli DS68637 where normal function is observed in minimal media. In contrast, the NOR gate is robust to media composition and functions similarly in both strains. The AND gate is evaluated at three stages of early scale-up: 100 ml shake-flask experiments, a 1 ml MTP microreactor, and a 10 L bioreactor. A reference plasmid that constitutively produces a GFP reporter is used to make comparisons of circuit performance across conditions. The AND gate function is quantitatively different at each scale. The output deteriorates late in fermentation after the shift from exponential to constant feed rates, which induces rapid resource depletion and changes in growth rate. In addition, one of the output states of the AND gate failed in the bioreactor, effectively making it only responsive to a single input. Finally, cells carrying the AND gate show considerably less accumulation of biomass. Overall, these results highlight challenges and suggest modified strategies for developing and characterizing genetic circuits that function reliably during fermentation.
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