Phenyllactic acid production by simultaneous saccharification and fermentation of pretreated sorghum bagasse

Kawaguchi, Hideo; Teramura, Hiroshi; Uematsu, Kouji; Hara, Kiyotaka Y.; Hasunuma, Tomohisa; Hirano, Ken; Sazuka, Takashi; Kitano, Hidemi; Tsuge, Yota; Kahar, Prihardi; Niimi-Nakamura, Satoko; Oinuma, Ken-Ichi; Takaya, Naoki; Kasuga, Shigemitsu; Ogino, Chiaki; Kondo, Akihiko

doi:10.1016/j.biortech.2015.01.097

Cited by 33 publications

(28 citation statements)

References 33 publications

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“…Reaction steps that are represented by these parameters consist of only productive enzymic reactions in the literature. 12 , 13 These negative parameters may suggest unknown regulatory pathways whose effects look substrate inhibitions.…”

Section: Resultsmentioning

confidence: 99%

“…A creation of the formula in Equation (6) and an optimization of the parameters are conducted for each target metabolite. We choose the PL production metabolic pathway 12 – 15 ( Figure 1 ) as the application target and 6 metabolites for the observation target. Then, we reconstruct the pathway using only the observation target metabolites ( Figure 2 ).…”

Section: Methodsmentioning

confidence: 99%

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Mathematical Model for Small Size Time Series Data of Bacterial Secondary Metabolic Pathways

Tominaga

Kawaguchi

Hori

et al. 2018

Bioinform Biol Insights

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Measuring the concentrations of metabolites and estimating the reaction rates of each reaction step consisting of metabolic pathways are significant for an improvement in microorganisms used in maximizing the production of materials. Although the reaction pathway must be identified for such an improvement, doing so is not easy. Numerous reaction steps have been reported; however, the actual reaction steps activated vary or change according to the conditions. Furthermore, to build mathematical models for a dynamical analysis, the reaction mechanisms and parameter values must be known; however, to date, sufficient information has yet to be published for many cases. In addition, experimental observations are expensive. A new mathematical approach that is applicable to small sample data, and that requires no detailed reaction information, is strongly needed. S-system is one such model that can use smaller samples than other ordinary differential equation models. We propose a simplified S-system to apply minimal quantities of samples for a dynamic analysis of the metabolic pathways. We applied the model to the phenyl lactate production pathway of Escherichia coli. The model obtained suggests that actually activated reaction steps and feedback are inhibitions within the pathway.

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Section: Resultsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Mathematical Model for Small Size Time Series Data of Bacterial Secondary Metabolic Pathways

Tominaga

Kawaguchi

Hori

et al. 2018

Bioinform Biol Insights

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“…In addition, various bacterial communities and successions have been found in different pre-and post-silage forages [19]. Therefore, bacterial community composition plays a vital role in silage fermentation, and knowing community composition is a necessary condition to understand the complex process of ensiling [20].…”

Section: Resultsmentioning

confidence: 99%

Lactic Acid Bacteria Influence Silage Fermentation Characteristics and Bacterial Community Composition of Oat in Cold Region

Cheng

Chen

et al. 2021

Preprint

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Background: Lactic acid bacteria have been proposed for the control of undesirable fermentation and subsequently aerobic deterioration due to their ability to produce antimicrobial metabolites in silage mass. To investigate the effect of specific LAB on silage fermentation characteristics and bacterial community composition of oat in cold region, silages were treated without additives (CK) or with three LAB strains (LB, Lactobacillus buchneri; nLP, low temperature tolerant Lactobacillus planrtarum; pLP, phenyllactic acid-producing Lactobacillus plantarum), and then stored at ambient temperature (< 20 ℃) for 30, 60 and 90 days. Results: Compared with CK, inoculation of LAB decreased final pH value, butyric acid content, ammonia-N of total N and dry matter loss of silage. Treatments with nLP and pLP increased (P < 0.05) lactic acid content, whereas LB increased (P < 0.05) acetic acid content of silage. Lactobacillus and Leuconstoc dominated in the silages with relative abundance of 68.29~96.63%. A prolonged storage period enhanced growth of Leuconstoc in pLP treated silage. In addition, pLP increased (P < 0.05) aerobic stability of silage as compared with nLP. Conclusions: In conclusion, inoculation of LAB improved silage fermentation and/or delayed aerobic deterioration by shifting bacterial community composition during ensiling. Phenyllactic acid-producing Lactobacillus plantarum as an inoculant exhibited potential for high quality silage production.

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“…Optically pure d -PhLA was produced from glucose at a titer of 29 g/L by a recombinant E. coli strain expressing the pprA gene (encoding phenylpyruvate reductase) from Wickerhamia fluorescens [ 93 ]. More recently, d -PhLA was produced from the lignocellulosic biomass of kraft pulp [ 94 ] and pretreated bagasse [ 95 ] in a single-pod reaction of simultaneous saccharification and fermentation.…”

Section: Building Block Chemicals For Aromatic Polymer Synthesismentioning

confidence: 99%

Engineering cell factories for producing building block chemicals for bio-polymer synthesis

et al. 2016

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Synthetic polymers are widely used in daily life. Due to increasing environmental concerns related to global warming and the depletion of oil reserves, the development of microbial-based fermentation processes for the production of polymer building block chemicals from renewable resources is desirable to replace current petroleum-based methods. To this end, strains that efficiently produce the target chemicals at high yields and productivity are needed. Recent advances in metabolic engineering have enabled the biosynthesis of polymer compounds at high yield and productivities by governing the carbon flux towards the target chemicals. Using these methods, microbial strains have been engineered to produce monomer chemicals for replacing traditional petroleum-derived aliphatic polymers. These developments also raise the possibility of microbial production of aromatic chemicals for synthesizing high-performance polymers with desirable properties, such as ultraviolet absorbance, high thermal resistance, and mechanical strength. In the present review, we summarize recent progress in metabolic engineering approaches to optimize microbial strains for producing building blocks to synthesize aliphatic and high-performance aromatic polymers.Electronic supplementary materialThe online version of this article (doi:10.1186/s12934-016-0411-0) contains supplementary material, which is available to authorized users.

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Phenyllactic acid production by simultaneous saccharification and fermentation of pretreated sorghum bagasse

Cited by 33 publications

References 33 publications

Mathematical Model for Small Size Time Series Data of Bacterial Secondary Metabolic Pathways

Mathematical Model for Small Size Time Series Data of Bacterial Secondary Metabolic Pathways

Lactic Acid Bacteria Influence Silage Fermentation Characteristics and Bacterial Community Composition of Oat in Cold Region

Engineering cell factories for producing building block chemicals for bio-polymer synthesis

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