Literature DB >> 25280933

13 C flux analysis of cyanobacterial metabolism.

Adeola O Adebiyi1, Lara J Jazmin1, Jamey D Young2,3.   

Abstract

(13)C metabolic flux analysis (MFA) has made important contributions to our understanding of the physiology of model strains of E. coli and yeast, and it has been widely used to guide metabolic engineering efforts in these microorganisms. Recent advancements in (13)C MFA methodology combined with publicly available software tools are creating new opportunities to extend this approach to examine less characterized microbes. In particular, growing interest in the use of cyanobacteria as industrial hosts for photosynthetic production of biofuels and biochemicals has led to a critical need to better understand how cyanobacterial metabolic fluxes are regulated in response to changes in growth conditions or introduction of heterologous pathways. In this contribution, we review several prior studies that have applied isotopic steady-state (13)C MFA to examine heterotrophic or mixotrophic growth of cyanobacteria, as well as recent studies that have pioneered the use of isotopically nonstationary MFA (INST-MFA) to study autotrophic cultures. We also provide recommendations for the design and analysis of INST-MFA experiments in cyanobacteria, based on our previous experience and a series of simulation studies used to assess the selection of measurements and sample time points. We anticipate that this emerging knowledgebase of prior (13)C MFA studies, optimized experimental protocols, and public software tools will catalyze increasing use of (13)C MFA techniques by the cyanobacteria research community.

Entities:  

Keywords:  Cyanobacteria; Isotope labeling experiment; Isotopically nonstationary MFA; Metabolic flux analysis; Optimal experiment design

Mesh:

Substances:

Year:  2014        PMID: 25280933     DOI: 10.1007/s11120-014-0045-1

Source DB:  PubMed          Journal:  Photosynth Res        ISSN: 0166-8595            Impact factor:   3.573


  37 in total

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  8 in total

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2.  Genome-Scale Fluxome of Synechococcus elongatus UTEX 2973 Using Transient 13C-Labeling Data.

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7.  Characterizing glucose, illumination, and nitrogen-deprivation phenotypes of Synechocystis PCC6803 with Raman spectroscopy.

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8.  Kinetic modeling of the Calvin cycle identifies flux control and stable metabolomes in Synechocystis carbon fixation.

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  8 in total

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