Identification and characterization of a novel 2,3-butanediol dehydrogenase/acetoin reductase from <i>Corynebacterium crenatum </i>
SYPA5-5

Zhao, Xiaojing; Zhang, X.; Rao, Zhiming; Teng, Bo; Li, X.; Yang, Taowei; Yang, Shang‐Tian

doi:10.1111/lam.12495

Cited by 12 publications

(9 citation statements)

References 26 publications

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“…The presence of ions could act as inhibitors of specific enzymatic activities . The BDO dehydrogenases activity from Corynebacterium crenatum was increased by Ca 2+ , Mg 2+ , Zn 2+ and Mn 2+ ions, besides Cu 2+ that inhibited BDH activity . Yu et al reported and characterized the (2R,3R)‐BDH from Rhodococcus erythropolis .…”

Section: Resultsmentioning

confidence: 99%

Bioprocess development for (2R,3R)‐butanediol and acetoin production using very high polarity cane sugar and sugarcane molasses by a Bacillus amyloliquefaciens strain

Maina

Mallouchos

Freire

et al. 2019

J of Chemical Tech & Biotech

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BACKGROUND: Efficient production of (2R,3R)-2,3-butanediol (BDO) and acetoin using the GRAS strain Bacillus amyloliquefaciens from very high polarity (VHP) cane sugar and sugarcane molasses could lead to the development of a sustainable industrial process. RESULTS:The effect of initial substrate concentration, nitrogen source, temperature, inoculum size and pH were evaluated in shake flask cultures. Batch bioreactor cultures showed that (2R,3R)-BDO production (up to 28 g L −1 ) with high yield (up to 0.43 g g −1 ) and productivity (up to 0.93 g L −1 h −1 ) was favored at low k L a values (17-49 h −1 ). Increasing k L a values (63-104 h −1 ) initiated acetoin production (up to 25.6 g L −1 ) with yields up to 0.4 g g −1 and productivities up to 1.42 g L −1 h −1 . Fed-batch fermentation carried out at k L a value of 49 h −1 with VHP cane sugar resulted in mixed production (127.3 g L −1 ) of (2R,3R)-BDO, (2R,3S)-BDO and acetoin at 122 h with high yield (0.50 g g −1 ) and productivity (1.04 g L −1 h −1 ). In a similar fed-batch fermentation with sugarcane molasses, mainly (2R,3R)-BDO production (48.7 g L −1 with purity of 87.8%) was achieved at 59 h with yield of 0.4 g g −1 and productivity of 0.83 g L −1 h −1 . At 130 h, (2R,3R)-BDO was converted mainly into acetoin (55.4 g L −1 ). CONCLUSION:This study demonstrates that k L a manipulation could be used in batch cultures to divert the bacterial metabolism towards either (2R,3R)-BDO or acetoin production. Fed-batch cultures with sugarcane molasses could lead to either (2R,3R)-BDO or acetoin production with negligible by-product formation.

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Section: Resultsmentioning

confidence: 99%

Bioprocess development for (2R,3R)‐butanediol and acetoin production using very high polarity cane sugar and sugarcane molasses by a Bacillus amyloliquefaciens strain

Maina

Mallouchos

Freire

et al. 2019

J of Chemical Tech & Biotech

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“…On the other hand, compared to C. crenatum WT, C. crenatum SDA showed a high AR and BDH activities (0.32 and 0.10 U mg −1 ) comparable to C. crenatum A (0.38 and 0.19 U mg −1 ). In addition, although AR/BDH was a bidirectional reversible enzyme [24, 27], the heterogenous AR/BDH from B. subtilis present a higher AR activity than BDH activity in C. crenatum A and C. crenatum SDA. With ALS, ALDC, and (or) AR/BDH, the recombinant C. crenatum can catalyze the pyruvate to either AC or DA, thus allowing the respective conversion of glucose to AC and 2,3-BD.…”

Section: Resultsmentioning

confidence: 99%

“…This might be due to the spontaneous non-enzymatic decarboxylation reaction of α -acetolactate under natural oxidative aerobic conditions [31]. In addition, our previous work has also proved that the BDH from C. crenatum could catalyze DA to AC and then convert to 2,3-BD [24]. This explains why the chain reaction was got through in C. crenatum S without expression of ALDC.…”

Section: Resultsmentioning

confidence: 99%

“…In this study, we aimed to develop one-step bioconversion from glucose to selective AC and 2,3-BD production, and chose to engineer non-natural AC and 2,3-BD producing Corynebacterium crenatum SYPA5-5 as the host since the following reasons: C. crenatum , genetically close to C. glutamicum , has the advantages of growing fast, non-sporulation, and easy gene editing [23]. In addition, the BDH identified in C. crenatum was demonstrated that catalyze both AC and diacetyl (DA) for 2,3-BD formation [24]. Therefore, synthetic engineering C. crenatum SYPA5-5 should be a reliable strategy to selectively produce AC and 2,3-BD, respectively.…”

Section: Introductionmentioning

confidence: 99%

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Synthetic engineering of Corynebacterium crenatum to selectively produce acetoin or 2,3-butanediol by one step bioconversion method

et al. 2019

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Background: Acetoin (AC) and 2,3-butanediol (2,3-BD) as highly promising bio-based platform chemicals have received more attentions due to their wide range of applications. However, the non-efficient substrate conversion and mutually transition between AC and 2,3-BD in their natural producing strains not only led to a low selectivity but also increase the difficulty of downstream purification. Therefore, synthetic engineering of more suitable strains should be a reliable strategy to selectively produce AC and 2,3-BD, respectively. Results: In this study, the respective AC (alsS and alsD) and 2,3-BD biosynthesis pathway genes (alsS, alsD, and bdhA) derived from Bacillus subtilis 168 were successfully expressed in non-natural AC and 2,3-BD producing Corynebacterium crenatum, and generated recombinant strains, C. crenatum SD and C. crenatum SDA, were proved to produce 9.86 g L −1 of AC and 17.08 g L −1 of 2,3-BD, respectively. To further increase AC and 2,3-BD selectivity, the AC reducing gene (butA) and lactic acid dehydrogenase gene (ldh) in C. crenatum were then deleted. Finally, C. crenatumΔbutAΔldh SD produced 76.93 g L −1 AC in one-step biocatalysis with the yield of 0.67 mol mol −1. Meanwhile, after eliminating the lactic acid production and enhancing 2,3-butanediol dehydrogenase activity, C. crenatumΔldh SDA synthesized 88.83 g L −1 of 2,3-BD with the yield of 0.80 mol mol −1. Conclusions: The synthetically engineered C. crenatumΔbutAΔldh SD and C. crenatumΔldh SDA in this study were proved as an efficient microbial cell factory for selective AC and 2,3-BD production. Based on the insights from this study, further synthetic engineering of C. crenatum for AC and 2,3-BD production is suggested.

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“…The sequence analysis method, for the analysis and detection of equipment fault diagnosis, collects the temperature sequence of the normal and stable operation of the equipment, puts each temperature value collected into the database as a sample, and establishes a standard data sample database, thus completing the diagnosis and detection of the fault [13]. This method is applied to the fault identification and analysis of the airborne circuit board of the boiler plant equipment.…”

Section: Sequence Analysismentioning

confidence: 99%

Thermal energy diagnosis of boiler plant by computer image processing and neural network technology

Sang

Sun

2020

THERM SCI

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The paper aims to study the identification and diagnosis of infrared thermal fault of airborne circuit board of equipment, expand the application of intelligent algorithm in infrared thermal fault diagnosis, and promote the development of computer image processing technology and neural network technology in the field of thermal diagnosis. Taking the airborne circuit board in the boiler plant as the research object, first, the sequential analysis method was selected to collect the temperature changes during the operation of the circuit board. Second, on the basis of convolutional neural network, the program was written in Python, and the Relu function was used as the activation function establish the thermal fault diagnosis method of the on-board circuit board of the boiler plant equipment based on the convolutional neural network model. Third, based on the support vector machine intelligent algorithm, genetic algorithm was used to optimize the parameters, and combined with the grey prediction model, the infrared thermal fault diagnosis scheme of the circuit board of the multistage support vector machine boiler plant equipment was constructed. The results showed that the accuracy of the model after 6000 iterations was stable between 0.92-0.96, and the loss function value was stable at about 0.17. After the optimization of genetic algorithm, the accuracy of thermal fault diagnosis based on support vector machine model was optimized. Compared with grey prediction model, the accuracy of support vector machine model for fault diagnosis was higher, mean square error value was 0.0258, and the correlation coefficient was 91.55%. To sum up, the support vector machin model shows higher accuracy than grey prediction model, which can be used for thermal fault diagnosis.

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Identification and characterization of a novel 2,3-butanediol dehydrogenase/acetoin reductase from Corynebacterium crenatum SYPA5-5

Cited by 12 publications

References 26 publications

Bioprocess development for (2R,3R)‐butanediol and acetoin production using very high polarity cane sugar and sugarcane molasses by a Bacillus amyloliquefaciens strain

Bioprocess development for (2R,3R)‐butanediol and acetoin production using very high polarity cane sugar and sugarcane molasses by a Bacillus amyloliquefaciens strain

Synthetic engineering of Corynebacterium crenatum to selectively produce acetoin or 2,3-butanediol by one step bioconversion method

Thermal energy diagnosis of boiler plant by computer image processing and neural network technology

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