Literature DB >> 31816180

Applications of stable isotope-based metabolomics and fluxomics toward synthetic biology of cyanobacteria.

Piyoosh Kumar Babele1, Jamey D Young1,2.   

Abstract

Unique features of cyanobacteria (e.g., photosynthesis and nitrogen fixation) make them potential candidates for production of biofuels and other value-added biochemicals. As prokaryotes, they can be readily engineered using synthetic and systems biology tools. Metabolic engineering of cyanobacteria for the synthesis of desired compounds requires in-depth knowledge of central carbon and nitrogen metabolism, pathway fluxes, and their regulation. Metabolomics and fluxomics offer the comprehensive analysis of metabolism by directly characterizing the biochemical activities of cells. This information is acquired by measuring the abundance of key metabolites and their rates of interconversion, which can be achieved by labeling cells with stable isotopes, quantifying metabolite pool sizes and isotope incorporation by gas chromatography/liquid chromatography-mass spectrometry GC/LC-MS or nuclear magnetic resonance (NMR), and mathematical modeling to estimate in vivo metabolic fluxes. Herein, we review progress that has been made to adapt metabolomics and fluxomics tools to examine model cyanobacterial species. We summarize the application of metabolic flux analysis (MFA) strategies to identify metabolic bottlenecks that can be targeted to boost cell growth, improve stress tolerance, or enhance biochemical production in cyanobacteria. Despite the advances in metabolomics, fluxomics, and other synthetic and systems biology tools during the past years, further efforts are required to increase our understanding of cyanobacterial metabolism in order to create efficient photosynthetic hosts for the production of value-added compounds. This article is categorized under: Laboratory Methods and Technologies > Metabolomics Biological Mechanisms > Metabolism Analytical and Computational Methods > Analytical Methods.
© 2019 Wiley Periodicals, Inc.

Entities:  

Keywords:  cyanobacteria; fluxomics; mass spectrometry; metabolic flux; metabolomics

Mesh:

Substances:

Year:  2019        PMID: 31816180     DOI: 10.1002/wsbm.1472

Source DB:  PubMed          Journal:  Wiley Interdiscip Rev Syst Biol Med        ISSN: 1939-005X


  7 in total

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2.  A Hybrid Flux Balance Analysis and Machine Learning Pipeline Elucidates Metabolic Adaptation in Cyanobacteria.

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Journal:  iScience       Date:  2020-11-18

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Review 4.  NMR and Metabolomics-A Roadmap for the Future.

Authors:  David S Wishart; Leo L Cheng; Valérie Copié; Arthur S Edison; Hamid R Eghbalnia; Jeffrey C Hoch; Goncalo J Gouveia; Wimal Pathmasiri; Robert Powers; Tracey B Schock; Lloyd W Sumner; Mario Uchimiya
Journal:  Metabolites       Date:  2022-07-23

5.  Mainstreaming orphan millets for advancing climate smart agriculture to secure nutrition and health.

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Journal:  Front Plant Sci       Date:  2022-08-12       Impact factor: 6.627

6.  On the rate of phytoplankton respiration in the light.

Authors:  Michael L Bender; Xin-Guang Zhu; Paul Falkowski; Fangfang Ma; Kevin Griffin
Journal:  Plant Physiol       Date:  2022-08-29       Impact factor: 8.005

7.  A Genome-Scale Metabolic Model of Anabaena 33047 to Guide Genetic Modifications to Overproduce Nylon Monomers.

Authors:  John I Hendry; Hoang V Dinh; Debolina Sarkar; Lin Wang; Anindita Bandyopadhyay; Himadri B Pakrasi; Costas D Maranas
Journal:  Metabolites       Date:  2021-03-15
  7 in total

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