Literature DB >> 29457640

Application of adaptive laboratory evolution to overcome a flux limitation in an Escherichia coli production strain.

Kento Tokuyama1, Yoshihiro Toya1, Takaaki Horinouchi2, Chikara Furusawa2,3, Fumio Matsuda1,4, Hiroshi Shimizu1.   

Abstract

Gene deletion strategies using flux balance analysis (FBA) have improved the growth-coupled production of various compounds. However, the productivities were often below the expectation because the cells failed to adapt to these genetic perturbations. Here, we demonstrate the productivity of the succinate of the designed gene deletion strain was improved by adaptive laboratory evolution (ALE). Although FBA predicted deletions of adhE-pykAF-gldA-pflB lead to produce succinate from glycerol with a yield of 0.45 C-mol/C-mol, the knockout mutant did not produce only 0.08 C-mol/Cmol, experimentally. After the ALE experiments, the highest succinate yield of an evolved strain reached to the expected value. Genome sequencing analysis revealed all evolved strains possessed novel mutations in ppc of I829S or R849S. In vitro enzymatic assay and metabolic profiling analysis revealed that these mutations desensitizing an allosteric inhibition by L-aspartate and improved the flux through Ppc, while the activity of Ppc in the unevolved strain was tightly regulated by L-aspartate. These result demonstrated that the evolved strains achieved the improvement of succinate production by expanding the flux space of Ppc, realizing the predicted metabolic state by FBA.
© 2018 Wiley Periodicals, Inc.

Entities:  

Keywords:  Escherichia coli; adaptive laboratory evolution; flux balance analysis; phosphoenolpyruvate carboxylase; succinate production

Mesh:

Substances:

Year:  2018        PMID: 29457640     DOI: 10.1002/bit.26568

Source DB:  PubMed          Journal:  Biotechnol Bioeng        ISSN: 0006-3592            Impact factor:   4.530


  10 in total

Review 1.  Understanding metabolic adaptation by using bacterial laboratory evolution and trans-omics analysis.

Authors:  Takaaki Horinouchi; Chikara Furusawa
Journal:  Biophys Rev       Date:  2020-05-11

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

Review 3.  Ethanol stress responses in Kluyveromyces marxianus: current knowledge and perspectives.

Authors:  Maurício Alexander de Moura Ferreira; Fernando Augusto da Silveira; Wendel Batista da Silveira
Journal:  Appl Microbiol Biotechnol       Date:  2022-01-29       Impact factor: 4.813

4.  A streamlined strain engineering workflow with genome-wide screening detects enhanced protein secretion in Komagataella phaffii.

Authors:  Yoichiro Ito; Misa Ishigami; Goro Terai; Yasuyuki Nakamura; Noriko Hashiba; Teruyuki Nishi; Hikaru Nakazawa; Tomohisa Hasunuma; Kiyoshi Asai; Mitsuo Umetsu; Jun Ishii; Akihiko Kondo
Journal:  Commun Biol       Date:  2022-06-08

5.  gcFront: a tool for determining a Pareto front of growth-coupled cell factory designs.

Authors:  Laurence Legon; Christophe Corre; Declan G Bates; Ahmad A Mannan
Journal:  Bioinformatics       Date:  2022-06-01       Impact factor: 6.931

6.  Genomics and transcriptomics analysis reveals the mechanism of isobutanol tolerance of a laboratory evolved Lactococcus lactis strain.

Authors:  Jaya A Gupta; Sagar Thapa; Madhulika Verma; Ritu Som; Krishna Jyoti Mukherjee
Journal:  Sci Rep       Date:  2020-07-02       Impact factor: 4.379

Review 7.  Chasing bacterial chassis for metabolic engineering: a perspective review from classical to non-traditional microorganisms.

Authors:  Patricia Calero; Pablo I Nikel
Journal:  Microb Biotechnol       Date:  2018-06-21       Impact factor: 5.813

8.  In silico-guided engineering of Pseudomonas putida towards growth under micro-oxic conditions.

Authors:  Linde F C Kampers; Ruben G A van Heck; Stefano Donati; Edoardo Saccenti; Rita J M Volkers; Peter J Schaap; Maria Suarez-Diez; Pablo I Nikel; Vitor A P Martins Dos Santos
Journal:  Microb Cell Fact       Date:  2019-10-22       Impact factor: 5.328

Review 9.  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

10.  Efficient metabolic evolution of engineered Yarrowia lipolytica for succinic acid production using a glucose-based medium in an in situ fibrous bioreactor under low-pH condition.

Authors:  Chong Li; Shi Gao; Xiaotong Li; Xiaofeng Yang; Carol Sze Ki Lin
Journal:  Biotechnol Biofuels       Date:  2018-08-30       Impact factor: 6.040

  10 in total

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