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Field | Value |
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Namespace | Biological process |
Short description | Regulation of alcohol biosynthetic process |
Full defintion | Any process that modulates the frequency, rate or extent of alcohol biosynthetic process. |
Subterm of |
The relationship of GO:1902930 with other GO terms.
Relationship type | GO terms |
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Is a | |
Regulates | |
Part of | n.a. |
Positively regulates | n.a. |
Negatively regulates | n.a. |
A force layout showing the ancestor tree for GO:1902930, and its immediate children. If you wish to explore the tree dynamically, please use the GO Explorer.
This table contains additional metadata associated with the GO entry's definition field.
Field | Value |
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GOC | TermGenie |
GO_REF | 0000058 |
PMID | Integrative modelling of pH-dependent enzyme activity and transcriptomic regulation of the acetone-butanol-ethanol fermentation of Clostridium acetobutylicum in continuous culture. Microb Biotechnol. 2013 Sep; 6 (5): 526–39.PMID: 23332010 In a continuous culture under phosphate limitation the metabolism of Clostridium acetobutylicum depends on the external pH level. By comparing seven steady-state conditions between pH 5.7 and pH 4.5 we show that the switch from acidogenesis to solventogenesis occurs between pH 5.3 and pH 5.0 with an intermediate state at pH 5.1. Here, an integrative study is presented investigating how a changing external pH level affects the clostridial acetone-butanol-ethanol (ABE) fermentation pathway. This is of particular interest as the biotechnological production of n-butanol as biofuel has recently returned into the focus of industrial applications. One prerequisite is the furthering of the knowledge of the factors determining the solvent production and their integrative regulations. We have mathematically analysed the influence of pH-dependent specific enzyme activities of branch points of the metabolism on the product formation. This kinetic regulation was compared with transcriptomic regulation regarding gene transcription and the proteomic profile. Furthermore, both regulatory mechanisms were combined yielding a detailed projection of their individual and joint effects on the product formation. The resulting model represents an important platform for future developments of industrial butanol production based on C. acetobutylicum. |
GO predictions are based solely on the InterPro-to-GO mappings published by EMBL-EBI, which are in turn based on the mapping of predicted domains to the InterPro dataset. The InterPro-to-GO mapping was last updated on , while the GO metadata was last updated on .