Literature DB >> 36227536

Challenges to Ensure a Better Translation of Metabolic Engineering for Industrial Applications.

Fayza Daboussi1,2, Nic D Lindley3,4,5.   

Abstract

Metabolic engineering has evolved towards creating cell factories with increasingly complex pathways as economic criteria push biotechnology to higher value products to provide a sustainable source of speciality chemicals. Optimization of such pathways often requires high combinatory exploration of best pathway balance, and this has led to increasing use of high-throughput automated strain construction platforms or novel optimization techniques. In addition, the low catalytic efficiency of such pathways has shifted emphasis from gene expression strategies towards novel protein engineering to increase specific activity of the enzymes involved so as to limit the metabolic burden associated with excessively high pressure on ribosomal machinery when using massive overexpression systems. Metabolic burden is now generally recognized as a major hurdle to be overcome with consequences on genetic stability but also on the intensified performance needed industrially to attain the economic targets for successful product launch. Increasing awareness of the need to integrate novel genetic information into specific sites within the genome which not only enhance genetic stability (safe harbors) but also enable maximum expression profiles has led to genome-wide assessment of best integration sites, and bioinformatics will facilitate the identification of most probable landing pads within the genome.To facilitate the transfer of novel biotechnological potential to industrial-scale production, more attention, however, has to be paid to engineering metabolic fitness adapted to the specific stress conditions inherent to large-scale fermentation and the inevitable heterogeneity that will occur due to mass transfer limitations and the resulting deviation away from ideal conditions as seen in laboratory-scale validation of the engineered cells. To ensure smooth and rapid transfer of novel cell lines to industry with an accelerated passage through scale-up, better coordination is required form the onset between the biochemical engineers involved in process technology and the genetic engineers building the new strain so as to have an overall strategy able to maximize innovation at all levels. This should be one of our key objectives when building fermentation-friendly chassis organisms.
© 2023. The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature.

Entities:  

Keywords:  Biotechnology; Cell factory; Genetic stability; Industrial fermentation; Pathway optimization; Specialty chemicals

Mesh:

Year:  2023        PMID: 36227536     DOI: 10.1007/978-1-0716-2617-7_1

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  40 in total

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Authors:  J E Bailey
Journal:  Science       Date:  1991-06-21       Impact factor: 47.728

Review 2.  High-throughput metabolic engineering: advances in small-molecule screening and selection.

Authors:  Jeffrey A Dietrich; Adrienne E McKee; Jay D Keasling
Journal:  Annu Rev Biochem       Date:  2010       Impact factor: 23.643

Review 3.  Biorefineries for the production of top building block chemicals and their derivatives.

Authors:  Sol Choi; Chan Woo Song; Jae Ho Shin; Sang Yup Lee
Journal:  Metab Eng       Date:  2015-01-07       Impact factor: 9.783

4.  Opportunities at the Intersection of Synthetic Biology, Machine Learning, and Automation.

Authors:  Pablo Carbonell; Tijana Radivojevic; Héctor García Martín
Journal:  ACS Synth Biol       Date:  2019-07-19       Impact factor: 5.110

Review 5.  Systems Biology of Metabolism.

Authors:  Jens Nielsen
Journal:  Annu Rev Biochem       Date:  2017-03-08       Impact factor: 23.643

Review 6.  Applications of Microbial Enzymes in Food Industry.

Authors:  Sindhu Raveendran; Binod Parameswaran; Sabeela Beevi Ummalyma; Amith Abraham; Anil Kuruvilla Mathew; Aravind Madhavan; Sharrel Rebello; Ashok Pandey
Journal:  Food Technol Biotechnol       Date:  2018-03       Impact factor: 3.918

Review 7.  Metabolic Burden: Cornerstones in Synthetic Biology and Metabolic Engineering Applications.

Authors:  Gang Wu; Qiang Yan; J Andrew Jones; Yinjie J Tang; Stephen S Fong; Mattheos A G Koffas
Journal:  Trends Biotechnol       Date:  2016-03-18       Impact factor: 19.536

Review 8.  Biosystems Design by Machine Learning.

Authors:  Michael Jeffrey Volk; Ismini Lourentzou; Shekhar Mishra; Lam Tung Vo; Chengxiang Zhai; Huimin Zhao
Journal:  ACS Synth Biol       Date:  2020-06-29       Impact factor: 5.110

Review 9.  Engineering biological systems using automated biofoundries.

Authors:  Ran Chao; Shekhar Mishra; Tong Si; Huimin Zhao
Journal:  Metab Eng       Date:  2017-06-07       Impact factor: 9.783

Review 10.  Network rigidity and metabolic engineering in metabolite overproduction.

Authors:  G Stephanopoulos; J J Vallino
Journal:  Science       Date:  1991-06-21       Impact factor: 47.728

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