Literature DB >> 23361004

Synthetic RNA devices to expedite the evolution of metabolite-producing microbes.

Jina Yang1, Sang Woo Seo, Sungho Jang, So-I Shin, Chae Hyun Lim, Tae-Young Roh, Gyoo Yeol Jung.   

Abstract

An extension of directed evolution strategies to genome-wide variations increases the chance of obtaining metabolite-overproducing microbes. However, a general high-throughput screening platform for selecting improved strains remains out of reach. Here, to expedite the evolution of metabolite-producing microbes, we utilize synthetic RNA devices comprising a riboswitch and a selection module that specifically sense inconspicuous metabolites. Using L-lysine-producing Escherichia coli as a model system, we demonstrated that this RNA device could enrich pathway-optimized strains to up to 75% of the total population after four rounds of enrichment cycles. Furthermore, the potential applicability of this device was examined by successfully extending its application to the case of L-tryptophan. When used in conjunction with combinatorial mutagenesis for metabolite overproduction, our synthetic RNA device should facilitate strain improvement.

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Year:  2013        PMID: 23361004     DOI: 10.1038/ncomms2404

Source DB:  PubMed          Journal:  Nat Commun        ISSN: 2041-1723            Impact factor:   14.919


  43 in total

Review 1.  Gene regulation by riboswitches.

Authors:  Maumita Mandal; Ronald R Breaker
Journal:  Nat Rev Mol Cell Biol       Date:  2004-06       Impact factor: 94.444

2.  Model-driven engineering of RNA devices to quantitatively program gene expression.

Authors:  James M Carothers; Jonathan A Goler; Darmawi Juminaga; Jay D Keasling
Journal:  Science       Date:  2011-12-23       Impact factor: 47.728

Review 3.  Manufacturing molecules through metabolic engineering.

Authors:  Jay D Keasling
Journal:  Science       Date:  2010-12-03       Impact factor: 47.728

Review 4.  Strain improvement by metabolic engineering: lysine production as a case study for systems biology.

Authors:  Mattheos Koffas; Gregory Stephanopoulos
Journal:  Curr Opin Biotechnol       Date:  2005-06       Impact factor: 9.740

Review 5.  Combinatorial engineering of microbes for optimizing cellular phenotype.

Authors:  Christine Nicole S Santos; Gregory Stephanopoulos
Journal:  Curr Opin Chem Biol       Date:  2008-02-29       Impact factor: 8.822

6.  Global gene expression profiling of wild type and lysC knockout Escherichia coli W3110.

Authors:  Daniel Yuen-Teh Liu; Chia-Hsin Liu; Ming-Tsong Lai; Hua-Kuo Lin; Tzong-Hsiung Hseu
Journal:  FEMS Microbiol Lett       Date:  2007-11       Impact factor: 2.742

7.  Selecting RNA aptamers for synthetic biology: investigating magnesium dependence and predicting binding affinity.

Authors:  James M Carothers; Jonathan A Goler; Yuvraaj Kapoor; Lesley Lara; Jay D Keasling
Journal:  Nucleic Acids Res       Date:  2010-02-16       Impact factor: 16.971

8.  Programming cells by multiplex genome engineering and accelerated evolution.

Authors:  Harris H Wang; Farren J Isaacs; Peter A Carr; Zachary Z Sun; George Xu; Craig R Forest; George M Church
Journal:  Nature       Date:  2009-07-26       Impact factor: 49.962

9.  A diminutive and specific RNA binding site for L-tryptophan.

Authors:  Irene Majerfeld; Michael Yarus
Journal:  Nucleic Acids Res       Date:  2005-09-25       Impact factor: 16.971

10.  Systems metabolic engineering of Escherichia coli for L-threonine production.

Authors:  Kwang Ho Lee; Jin Hwan Park; Tae Yong Kim; Hyun Uk Kim; Sang Yup Lee
Journal:  Mol Syst Biol       Date:  2007-12-04       Impact factor: 11.429

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  40 in total

1.  Synthetic biosensors for precise gene control and real-time monitoring of metabolites.

Authors:  Jameson K Rogers; Christopher D Guzman; Noah D Taylor; Srivatsan Raman; Kelley Anderson; George M Church
Journal:  Nucleic Acids Res       Date:  2015-07-07       Impact factor: 16.971

2.  Tools and systems for evolutionary engineering of biomolecules and microorganisms.

Authors:  Sungho Jang; Minsun Kim; Jaeseong Hwang; Gyoo Yeol Jung
Journal:  J Ind Microbiol Biotechnol       Date:  2019-05-27       Impact factor: 3.346

3.  Functional mining of transporters using synthetic selections.

Authors:  Hans J Genee; Anne P Bali; Søren D Petersen; Solvej Siedler; Mads T Bonde; Luisa S Gronenberg; Mette Kristensen; Scott J Harrison; Morten O A Sommer
Journal:  Nat Chem Biol       Date:  2016-10-03       Impact factor: 15.040

Review 4.  Optimization of industrial microorganisms: recent advances in synthetic dynamic regulators.

Authors:  Byung Eun Min; Hyun Gyu Hwang; Hyun Gyu Lim; Gyoo Yeol Jung
Journal:  J Ind Microbiol Biotechnol       Date:  2016-11-10       Impact factor: 3.346

5.  Construction of Boolean logic gates based on dual-vector circuits of multiple gene regulatory elements.

Authors:  Zhao Wei; Wenliang Fu; Qing Liu; Haoran Jing; Chen Jin; Yao Chen; Wenrong Xia; Xiaoming Zhu; Donggang Xu
Journal:  Mol Genet Genomics       Date:  2018-10-29       Impact factor: 3.291

Review 6.  Recent advances and future trends of riboswitches: attractive regulatory tools.

Authors:  Jean Paul Sinumvayo; Chunhua Zhao; Philibert Tuyishime
Journal:  World J Microbiol Biotechnol       Date:  2018-11-09       Impact factor: 3.312

7.  Performing selections under dynamic conditions for synthetic biology applications.

Authors:  Jessica M Lindle; Mary J Dunlop
Journal:  Integr Biol (Camb)       Date:  2016-01-13       Impact factor: 2.192

8.  In vivo biosensors: mechanisms, development, and applications.

Authors:  Shuobo Shi; Ee Lui Ang; Huimin Zhao
Journal:  J Ind Microbiol Biotechnol       Date:  2018-01-29       Impact factor: 3.346

9.  Evolution-guided optimization of biosynthetic pathways.

Authors:  Srivatsan Raman; Jameson K Rogers; Noah D Taylor; George M Church
Journal:  Proc Natl Acad Sci U S A       Date:  2014-12-01       Impact factor: 11.205

10.  Genetically encoded sensors enable real-time observation of metabolite production.

Authors:  Jameson K Rogers; George M Church
Journal:  Proc Natl Acad Sci U S A       Date:  2016-02-08       Impact factor: 11.205

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