
pmid: 22360882
Carbon catabolite repression (CCR) is a key regulatory system found in most microorganisms that ensures preferential utilization of energy-efficient carbon sources. CCR helps microorganisms obtain a proper balance between their metabolic capacity and the maximum sugar uptake capability. It also constrains the deregulated utilization of a preferred cognate substrate, enabling microorganisms to survive and dominate in natural environments. On the other side of the same coin lies the tenacious bottleneck in microbial production of bioproducts that employs a combination of carbon sources in varied proportion, such as lignocellulose-derived sugar mixtures. Preferential sugar uptake combined with the transcriptional and/or enzymatic exclusion of less preferred sugars turns out one of the major barriers in increasing the yield and productivity of fermentation process. Accumulation of the unused substrate also complicates the downstream processes used to extract the desired product. To overcome this difficulty and to develop tailor-made strains for specific metabolic engineering goals, quantitative and systemic understanding of the molecular interaction map behind CCR is a prerequisite. Here we comparatively review the universal and strain-specific features of CCR circuitry and discuss the recent efforts in developing synthetic cell factories devoid of CCR particularly for lignocellulose- based biorefinery.
Phosphotransferase system (PTS), Catabolite Repression, 660, Bacteria, QH301-705.5, Carbon catabolite repression (CCR), Fungi, QD415-436, Lignocellulosic biomass, Biochemistry, Lignin, Carbon, Metabolic Engineering, Carbohydrate Metabolism, Biology (General), Metabolic engineering, Synthetic biology, Signal Transduction
Phosphotransferase system (PTS), Catabolite Repression, 660, Bacteria, QH301-705.5, Carbon catabolite repression (CCR), Fungi, QD415-436, Lignocellulosic biomass, Biochemistry, Lignin, Carbon, Metabolic Engineering, Carbohydrate Metabolism, Biology (General), Metabolic engineering, Synthetic biology, Signal Transduction
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