Literature DB >> 26948437

Synthetic Evolution of Metabolic Productivity Using Biosensors.

Thomas C Williams1, Isak S Pretorius1, Ian T Paulsen2.   

Abstract

Synthetic biology has progressed to the point where genes that encode whole metabolic pathways and even genomes can be manufactured and brought to life. This impressive ability to synthesise and assemble DNA is not yet matched by an ability to predictively engineer biology. These difficulties exist because biological systems are often overwhelmingly complex, having evolved to facilitate growth and survival rather than specific engineering objectives such as the optimisation of biochemical production. A promising and revolutionary solution to this problem is to harness the process of evolution to create microbial strains with desired properties. The tools of systems biology can then be applied to understand the principles of biological design, bringing synthetic biology closer to becoming a predictive engineering discipline.
Copyright © 2016 Elsevier Ltd. All rights reserved.

Keywords:  Saccharomyces cerevisiae; adaptive laboratory evolution; biosensing; genome engineering; metabolic engineering; synthetic biology; yeast

Mesh:

Year:  2016        PMID: 26948437     DOI: 10.1016/j.tibtech.2016.02.002

Source DB:  PubMed          Journal:  Trends Biotechnol        ISSN: 0167-7799            Impact factor:   19.536


  24 in total

Review 1.  Tailor-made transcriptional biosensors for optimizing microbial cell factories.

Authors:  Brecht De Paepe; Gert Peters; Pieter Coussement; Jo Maertens; Marjan De Mey
Journal:  J Ind Microbiol Biotechnol       Date:  2016-11-11       Impact factor: 3.346

Review 2.  The emergence of adaptive laboratory evolution as an efficient tool for biological discovery and industrial biotechnology.

Authors:  Troy E Sandberg; Michael J Salazar; Liam L Weng; Bernhard O Palsson; Adam M Feist
Journal:  Metab Eng       Date:  2019-08-08       Impact factor: 9.783

3.  Fluorescence-Based Flow Sorting in Parallel with Transposon Insertion Site Sequencing Identifies Multidrug Efflux Systems in Acinetobacter baumannii.

Authors:  Karl A Hassan; Amy K Cain; TaoTao Huang; Qi Liu; Liam D H Elbourne; Christine J Boinett; Anthony J Brzoska; Liping Li; Martin Ostrowski; Nguyen Thi Khanh Nhu; Tran Do Hoang Nhu; Stephen Baker; Julian Parkhill; Ian T Paulsen
Journal:  mBio       Date:  2016-09-06       Impact factor: 7.867

4.  RNA-aptamers-in-droplets (RAPID) high-throughput screening for secretory phenotypes.

Authors:  Joseph Abatemarco; Maen F Sarhan; James M Wagner; Jyun-Liang Lin; Leqian Liu; Wafa Hassouneh; Shuo-Fu Yuan; Hal S Alper; Adam R Abate
Journal:  Nat Commun       Date:  2017-08-23       Impact factor: 14.919

Review 5.  Yeast's balancing act between ethanol and glycerol production in low-alcohol wines.

Authors:  Hugh D Goold; Heinrich Kroukamp; Thomas C Williams; Ian T Paulsen; Cristian Varela; Isak S Pretorius
Journal:  Microb Biotechnol       Date:  2017-01-13       Impact factor: 5.813

Review 6.  Systems metabolic engineering strategies for the production of amino acids.

Authors:  Qian Ma; Quanwei Zhang; Qingyang Xu; Chenglin Zhang; Yanjun Li; Xiaoguang Fan; Xixian Xie; Ning Chen
Journal:  Synth Syst Biotechnol       Date:  2017-08-02

Review 7.  Emerging Opportunities for Synthetic Biology in Agriculture.

Authors:  Hugh Douglas Goold; Philip Wright; Deborah Hailstones
Journal:  Genes (Basel)       Date:  2018-07-06       Impact factor: 4.096

8.  Adaptive laboratory evolution of Corynebacterium glutamicum towards higher growth rates on glucose minimal medium.

Authors:  Eugen Pfeifer; Cornelia Gätgens; Tino Polen; Julia Frunzke
Journal:  Sci Rep       Date:  2017-12-01       Impact factor: 4.379

Review 9.  Yeast 2.0-connecting the dots in the construction of the world's first functional synthetic eukaryotic genome.

Authors:  I S Pretorius; J D Boeke
Journal:  FEMS Yeast Res       Date:  2018-06-01       Impact factor: 2.796

Review 10.  Selecting the Best: Evolutionary Engineering of Chemical Production in Microbes.

Authors:  Denis Shepelin; Anne Sofie Lærke Hansen; Rebecca Lennen; Hao Luo; Markus J Herrgård
Journal:  Genes (Basel)       Date:  2018-05-11       Impact factor: 4.096

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