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Genome-scale metabolic rewiring to achieve predictable titers rates and yield of a non-native product at scale

View ORCID ProfileDeepanwita Banerjee, View ORCID ProfileThomas Eng, Andrew K. Lau, Brenda Wang, View ORCID ProfileYusuke Sasaki, View ORCID ProfileRobin A. Herbert, View ORCID ProfileYan Chen, View ORCID ProfileYuzhong Liu, Jan-Philip Prahl, View ORCID ProfileVasanth R. Singan, View ORCID ProfileDeepti Tanjore, View ORCID ProfileChristopher J. Petzold, View ORCID ProfileJay D. Keasling, View ORCID ProfileAindrila Mukhopadhyay
doi: https://doi.org/10.1101/2020.02.21.954792
Deepanwita Banerjee
1Joint BioEnergy Institute, Lawrence Berkeley National Laboratory, Emeryville, CA 94608, United States
2Biological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, California, USA
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  • ORCID record for Deepanwita Banerjee
Thomas Eng
1Joint BioEnergy Institute, Lawrence Berkeley National Laboratory, Emeryville, CA 94608, United States
2Biological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, California, USA
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  • ORCID record for Thomas Eng
Andrew K. Lau
1Joint BioEnergy Institute, Lawrence Berkeley National Laboratory, Emeryville, CA 94608, United States
2Biological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, California, USA
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Brenda Wang
1Joint BioEnergy Institute, Lawrence Berkeley National Laboratory, Emeryville, CA 94608, United States
2Biological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, California, USA
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Yusuke Sasaki
1Joint BioEnergy Institute, Lawrence Berkeley National Laboratory, Emeryville, CA 94608, United States
2Biological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, California, USA
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Robin A. Herbert
1Joint BioEnergy Institute, Lawrence Berkeley National Laboratory, Emeryville, CA 94608, United States
2Biological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, California, USA
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Yan Chen
1Joint BioEnergy Institute, Lawrence Berkeley National Laboratory, Emeryville, CA 94608, United States
2Biological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, California, USA
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  • ORCID record for Yan Chen
Yuzhong Liu
1Joint BioEnergy Institute, Lawrence Berkeley National Laboratory, Emeryville, CA 94608, United States
2Biological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, California, USA
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Jan-Philip Prahl
2Biological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, California, USA
4Advanced Biofuel and Bioproduct Process Development Unit, Lawrence Berkeley National Laboratory, Emeryville, CA 94608, United States
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Vasanth R. Singan
4Advanced Biofuel and Bioproduct Process Development Unit, Lawrence Berkeley National Laboratory, Emeryville, CA 94608, United States
3Environmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, Berkeley, California, USA
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Deepti Tanjore
2Biological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, California, USA
4Advanced Biofuel and Bioproduct Process Development Unit, Lawrence Berkeley National Laboratory, Emeryville, CA 94608, United States
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Christopher J. Petzold
1Joint BioEnergy Institute, Lawrence Berkeley National Laboratory, Emeryville, CA 94608, United States
2Biological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, California, USA
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Jay D. Keasling
1Joint BioEnergy Institute, Lawrence Berkeley National Laboratory, Emeryville, CA 94608, United States
2Biological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, California, USA
6QB3 Institute, University of California-Berkeley, 5885 Hollis Street, 4th Floor, Emeryville, CA 94608, United States
7Department of Chemical & Biomolecular Engineering, University of California, Berkeley, CA 94720, United States
8Department of Bioengineering, University of California, Berkeley, CA 94720, United States
9Novo Nordisk Foundation Center for Biosustainability, Technical University Denmark, DK2970-Horsholm, Denmark
10Synthetic Biochemistry Center, Institute for Synthetic Biology, Shenzhen Institutes for Advanced Technologies, Shenzhen, China
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Aindrila Mukhopadhyay
1Joint BioEnergy Institute, Lawrence Berkeley National Laboratory, Emeryville, CA 94608, United States
2Biological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, California, USA
3Environmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, Berkeley, California, USA
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  • For correspondence: amukhopadhyay@lbl.gov
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Abstract

Achieving high titer rates and yields (TRY) remains a bottleneck in the production of heterologous products through microbial systems, requiring elaborate engineering and many iterations. Reliable scaling of engineered strains is also rarely addressed in the first designs of the engineered strains. Both high TRY and scale are challenging metrics to achieve due to the inherent trade-off between cellular use of carbon towards growth vs. target metabolite production. We hypothesized that being able to strongly couple product formation with growth may lead to improvements across both metrics. In this study, we use elementary mode analysis to predict metabolic reactions that could be targeted to couple the production of indigoidine, a sustainable pigment, with the growth of the chosen host, Pseudomonas putida KT2440. We then filtered the set of 16 predicted reactions using -omics data. We implemented a total of 14 gene knockdowns using a CRISPRi method optimized for P. putida and show that the resulting engineered P. putida strain could achieve high TRY. The engineered pairing of product formation with carbon use also shifted production from stationary to exponential phase and the high TRY phenotype was maintained across scale. In one design cycle, we constructed an engineered P. putida strain that demonstrates close to 50% maximum theoretical yield (0.33 g indigoidine/g glucose consumed), reaching 25.6 g/L indigoidine and a rate of 0.22g/l/h in exponential phase. These desirable phenotypes were maintained from batch to fed-batch cultivation mode, and from 100ml shake flasks to 250 mL ambr® and 2 L bioreactors.

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  • http://shorturl.at/rsAK3

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Genome-scale metabolic rewiring to achieve predictable titers rates and yield of a non-native product at scale
Deepanwita Banerjee, Thomas Eng, Andrew K. Lau, Brenda Wang, Yusuke Sasaki, Robin A. Herbert, Yan Chen, Yuzhong Liu, Jan-Philip Prahl, Vasanth R. Singan, Deepti Tanjore, Christopher J. Petzold, Jay D. Keasling, Aindrila Mukhopadhyay
bioRxiv 2020.02.21.954792; doi: https://doi.org/10.1101/2020.02.21.954792
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Genome-scale metabolic rewiring to achieve predictable titers rates and yield of a non-native product at scale
Deepanwita Banerjee, Thomas Eng, Andrew K. Lau, Brenda Wang, Yusuke Sasaki, Robin A. Herbert, Yan Chen, Yuzhong Liu, Jan-Philip Prahl, Vasanth R. Singan, Deepti Tanjore, Christopher J. Petzold, Jay D. Keasling, Aindrila Mukhopadhyay
bioRxiv 2020.02.21.954792; doi: https://doi.org/10.1101/2020.02.21.954792

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