Literature DB >> 33232598

Design and Characterization of Rapid Optogenetic Circuits for Dynamic Control in Yeast Metabolic Engineering.

Evan M Zhao1, Makoto A Lalwani1, Robert J Lovelett1,2, Sergio A García-Echauri1, Shannon M Hoffman1, Christopher L Gonzalez1, Jared E Toettcher3, Ioannis G Kevrekidis1,2, José L Avalos1,3,4.   

Abstract

The use of optogenetics in metabolic engineering for light-controlled microbial chemical production raises the prospect of utilizing control and optimization techniques routinely deployed in traditional chemical manufacturing. However, such mechanisms require well-characterized, customizable tools that respond fast enough to be used as real-time inputs during fermentations. Here, we present OptoINVRT7, a new rapid optogenetic inverter circuit to control gene expression in Saccharomyces cerevisiae. The circuit induces gene expression in only 0.6 h after switching cells from light to darkness, which is at least 6 times faster than previous OptoINVRT optogenetic circuits used for chemical production. In addition, we introduce an engineered inducible GAL1 promoter (PGAL1-S), which is stronger than any constitutive or inducible promoter commonly used in yeast. Combining OptoINVRT7 with PGAL1-S achieves strong and light-tunable levels of gene expression with as much as 132.9 ± 22.6-fold induction in darkness. The high performance of this new optogenetic circuit in controlling metabolic enzymes boosts production of lactic acid and isobutanol by more than 50% and 15%, respectively. The strength and controllability of OptoINVRT7 and PGAL1-S open the door to applying process control tools to engineered metabolisms to improve robustness and yields in microbial fermentations for chemical production.

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Year:  2020        PMID: 33232598     DOI: 10.1021/acssynbio.0c00305

Source DB:  PubMed          Journal:  ACS Synth Biol        ISSN: 2161-5063            Impact factor:   5.110


  8 in total

Review 1.  Recent advances in construction and regulation of yeast cell factories.

Authors:  Xue Jiao; Yuehao Gu; Pingping Zhou; Hongwei Yu; Lidan Ye
Journal:  World J Microbiol Biotechnol       Date:  2022-02-17       Impact factor: 3.312

Review 2.  Biosensor-enabled pathway optimization in metabolic engineering.

Authors:  Yuxi Teng; Jianli Zhang; Tian Jiang; Yusong Zou; Xinyu Gong; Yajun Yan
Journal:  Curr Opin Biotechnol       Date:  2022-02-11       Impact factor: 10.279

3.  A Single-Component Blue Light-Induced System Based on EL222 in Yarrowia lipolytica.

Authors:  Zhiqian Wang; Yunjun Yan; Houjin Zhang
Journal:  Int J Mol Sci       Date:  2022-06-06       Impact factor: 6.208

4.  Optogenetic Amplification Circuits for Light-Induced Metabolic Control.

Authors:  Evan M Zhao; Makoto A Lalwani; Jhong-Min Chen; Paulina Orillac; Jared E Toettcher; José L Avalos
Journal:  ACS Synth Biol       Date:  2021-04-09       Impact factor: 5.110

5.  Biosensor for branched-chain amino acid metabolism in yeast and applications in isobutanol and isopentanol production.

Authors:  Jeremy D Cortez; Sarah K Hammer; Yanfei Zhang; César Carrasco-López; Sergio Á García Echauri; Jessica B Wiggins; Wei Wang; José L Avalos
Journal:  Nat Commun       Date:  2022-01-12       Impact factor: 14.919

6.  Bifunctional optogenetic switch for improving shikimic acid production in E. coli.

Authors:  Irene Komera; Cong Gao; Liang Guo; Guipeng Hu; Xiulai Chen; Liming Liu
Journal:  Biotechnol Biofuels Bioprod       Date:  2022-02-07

Review 7.  Engineering of Synthetic Transcriptional Switches in Yeast.

Authors:  Masahiro Tominaga; Akihiko Kondo; Jun Ishii
Journal:  Life (Basel)       Date:  2022-04-08

8.  Cellulosic biofuel production using emulsified simultaneous saccharification and fermentation (eSSF) with conventional and thermotolerant yeasts.

Authors:  Shannon M Hoffman; Maria Alvarez; Gilad Alfassi; Dmitry M Rein; Sergio Garcia-Echauri; Yachin Cohen; José L Avalos
Journal:  Biotechnol Biofuels       Date:  2021-07-17       Impact factor: 6.040

  8 in total

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