| Title |
13C-assisted metabolic flux analysis to investigate heterotrophic and mixotrophic metabolism in Cupriavidus necator H16
|
|---|---|
| Published in |
Metabolomics, December 2017
|
| DOI | 10.1007/s11306-017-1302-z |
| Pubmed ID | |
| Authors |
Swathi Alagesan, Nigel P. Minton, Naglis Malys |
| Abstract |
Cupriavidus necator H16 is a gram-negative bacterium, capable of lithoautotrophic growth by utilizing hydrogen as an energy source and fixing carbon dioxide (CO2) through Calvin-Benson-Bassham (CBB) cycle. The potential to utilize synthesis gas (Syngas) and the prospects of rerouting carbon from polyhydroxybutyrate synthesis to value-added compounds makes C. necator an excellent chassis for industrial application. In the context of lack of sufficient quantitative information of the metabolic pathways and to advance in rational metabolic engineering for optimized product synthesis in C. necator H16, we carried out a metabolic flux analysis based on steady-state 13C-labelling. In this study, steady-state carbon labelling experiments, using either d-[1-13C]fructose or [1,2-13C]glycerol, were undertaken to investigate the carbon flux through the central carbon metabolism in C. necator H16 under heterotrophic and mixotrophic growth conditions, respectively. We found that the CBB cycle is active even under heterotrophic condition, and growth is indeed mixotrophic. While Entner-Doudoroff (ED) pathway is shown to be the major route for sugar degradation, tricarboxylic acid (TCA) cycle is highly active in mixotrophic condition. Enhanced flux is observed in reductive pentose phosphate pathway (redPPP) under the mixotrophic condition to supplement the precursor requirement for CBB cycle. The flux distribution was compared to the mRNA abundance of genes encoding enzymes involved in key enzymatic reactions of the central carbon metabolism. This study leads the way to establishing 13C-based quantitative fluxomics for rational pathway engineering in C. necator H16. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Science communicators (journalists, bloggers, editors) | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 156 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 156 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 32 | 21% |
| Student > Master | 20 | 13% |
| Researcher | 19 | 12% |
| Student > Bachelor | 13 | 8% |
| Professor | 6 | 4% |
| Other | 21 | 13% |
| Unknown | 45 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 39 | 25% |
| Agricultural and Biological Sciences | 24 | 15% |
| Engineering | 12 | 8% |
| Chemical Engineering | 11 | 7% |
| Immunology and Microbiology | 6 | 4% |
| Other | 10 | 6% |
| Unknown | 54 | 35% |
Attention Score in Context
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#15,487,739
of 23,015,156 outputs
Outputs from Metabolomics
#906
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#266,419
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Outputs of similar age from Metabolomics
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