Carbon Catabolite Control of the Metabolic Network in<i>Bacillus subtilis</i>

Fujita, Yuki

doi:10.1271/bbb.80479

Cited by 257 publications

(302 citation statements)

References 133 publications

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“…Glucanase activity increased only when cells stopped growing after either lack of glucose or amino acid starvation (Stulke et al, 1993). Glucose acts as carbon catabolite control which repress expression of β-glucanase gene when glucose is still available (carbon catabolite repression/CCR) and it will be activated when glucose is exhausted (carbon catabolite activation/CCA) (Fujita, 2009). In this case, carbon source supply only from β-glucan and no addition glucose to media caused glucanase activity in logarithmic phase.…”

Section: Identification Of Selected Bacteriamentioning

confidence: 99%

Medium optimization of beta-glucanase production by Bacillus subtilis SAHA 32.6 used as biological control of oil palm pathogen

Dewi

Mubarik

Suhartono

2016

Emir. J. Food Agric

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Section: Identification Of Selected Bacteriamentioning

confidence: 99%

Medium optimization of beta-glucanase production by Bacillus subtilis SAHA 32.6 used as biological control of oil palm pathogen

Dewi

Mubarik

Suhartono

2016

Emir. J. Food Agric

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“…dihydroxyacetone-phosphate) can also release CggR. Enzymes involved in gluconeogenesis remain repressed as long as glycolytic carbon sources are available; in the absence of such carbon sources, the transcriptional repressor catabolite control protein N is released, and expression of the gluconeogenetic enzymes is activated [51,52].…”

Section: Reviewmentioning

confidence: 99%

Regulatory crosstalk of the metabolic network

Grüning

Lehrach

Ralser

2010

Trends in Biochemical Sciences

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The metabolic network has a modular architecture, is robust to perturbations, and responds to biological stimuli and environmental conditions. Through monitoring by metabolite responsive macromolecules, metabolic pathways interact with the transcriptome and proteome. Whereas pathway interconnecting cofactors and substrates report on the overall state of the network, specialised intermediates measure the activity of individual functional units. Transitions in the network affect many of these regulatory metabolites, facilitating the parallel regulation of the timing and control of diverse biological processes. The metabolic network controls its own balance, chromatin structure and the biosynthesis of molecular cofactors; moreover, metabolic shifts are crucial in the response to oxidative stress and play a regulatory role in cancer.Evolution of the metabolic network and its structure Life probably began with the formation of compartmentalised autocatalytic chemical cycles. With the appearance of complex catalysts (ribonucleic acid-or protein-based enzymes), these cycles gained complexity, and evolved in their effectiveness and robustness [1]. These metabolic pathways now form the basis for life.As was the case for the first primitive life forms, the survival of today's complex organisms depends on the robustness and functionality of the metabolic framework [2]. To prevent and counteract perturbations in the flux, many biological control and sensor systems have evolved around the metabolic network. Metabolic pathways provide the cell with energy and supply macromolecular synthesis pathways with their required intermediates. They also balance metabolic systems under a variety of physiological conditions, and act as transducers and sensor systems for environmental conditions and stimuli. In addition, metabolic pathways are essential for crosstalk between metabolic regulatory components and the cellular transcriptome and proteome.As early as the 1960s, the principle that cells alter their gene expression in response to metabolic requirements has been known. The seminal work of Jacob and Monod, investigating the lac operon, uncovered one of the first examples of chemical-genetic regulation, by which bacterial cells adjust their enzyme production to the nutrient supply [3]. However, only recently have the broader implications of this principle emerged. Indeed, changes in the metabolic network not only control the metabolome, but they also have wide-ranging regulatory functions throughout biology.Most of the biochemical mechanisms that link the metabolic network to the transcriptome and proteome are incompletely understood. However, one type of regulation appears to be common: representative network intermediates bind to and modulate sensor function and activity of transcription factors, translational regulators, chromatin, enzymes, RNA molecules, and ion channels. Significant transcriptional changes around these intermediates identified them as reporter metabolites [4,5]. The use of intermediates as activity reporters ne...

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“…CcpA-independent catabolite repression system of B. subtilis is mediated by the mechanism of induction prevention, by which transcription factors or RNA-binding anti-termination proteins of the operons for less preferred PTS substrates is inhibited (35). The transcription factors controlled by induction prevention often contain duplicated PTS-regulatory domains (PRDs), which can be phosphorylated by the components of PTS and provide information on the glucose availability.…”

Section: Signal Transduction Through Duplicate Pts Domainmentioning

confidence: 99%

Rewiring carbon catabolite repression for microbial cell factory

Parisutham¹,

Kim²,

Lee³

et al. 2012

BMB Reports

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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. [BMB reports 2012; 45(2): 59-70]

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Carbon Catabolite Control of the Metabolic Network inBacillus subtilis

Cited by 257 publications

References 133 publications

Medium optimization of beta-glucanase production by Bacillus subtilis SAHA 32.6 used as biological control of oil palm pathogen

Medium optimization of beta-glucanase production by Bacillus subtilis SAHA 32.6 used as biological control of oil palm pathogen

Regulatory crosstalk of the metabolic network

Rewiring carbon catabolite repression for microbial cell factory

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