遗传算法优化CGXⅡ培养基提高谷氨酸棒状杆菌产L-精氨酸
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摘要
L-精氨酸作为一种半必需氨基酸,在食品医药等行业有着极为重要的作用。培养基作为谷氨酸棒状杆菌(Corynebacterium glutamicum)生产L-精氨酸的基础,其成分及其成分之间的配比对L-精氨酸生产影响很大。利用遗传算法,以CGXⅡ初始培养基为基础,不断优化培养基成分之间的配比,L-精氨酸的积累量从0.61g/L提高至2.37g/L,提高了288.5%。通过数据分析,发现遗传算法不断优化CGXⅡ培养基的成分比例的过程中,伴随着L-精氨酸产量的大幅提升,谷氨酸棒状杆菌的生长模式发生了改变。在进一步的代谢水平分析中,发现CGXⅡ培养基的成分优化导致了谷氨酸棒状杆菌的三羧酸循环(TCA)增强。
As a semi-essential amino acid, L-arginine plays an extremely important role in food and medicine industries. Medium is used as the basis for the production of L-arginine by Corynebacterium glutamicum during fermentation, its components and the ratio between the components had a great influence on the production of L-arginine. Based on the CGXⅡ initial medium, the ratio between the components was optimized by genetic algorithm. The accumulation of L-arginine increased from 0.61 g/L to 2.37 g/L, which increased by 288.5%. Through data analysis, it was found that the growth pattern of Corynebacterium glutamicum changed with the increase of L-arginine production in the optimization process of the components ratio of CGXⅡ medium. In a further metabolic level analysis, it was found that the optimization of the composition of the CGXⅡ medium resulted in the enhancement of tricarboxylic acid cycle(TCA) of C. glutamicum.
As a semi-essential amino acid, L-arginine plays an extremely important role in food and medicine industries. Medium is used as the basis for the production of L-arginine by Corynebacterium glutamicum during fermentation, its components and the ratio between the components had a great influence on the production of L-arginine. Based on the CGXⅡ initial medium, the ratio between the components was optimized by genetic algorithm. The accumulation of L-arginine increased from 0.61 g/L to 2.37 g/L, which increased by 288.5%. Through data analysis, it was found that the growth pattern of Corynebacterium glutamicum changed with the increase of L-arginine production in the optimization process of the components ratio of CGXⅡ medium. In a further metabolic level analysis, it was found that the optimization of the composition of the CGXⅡ medium resulted in the enhancement of tricarboxylic acid cycle(TCA) of C. glutamicum.
引文
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[6]HUANG Y Y,ZHANG H,TIAN H M,et al.Mutational analysis to identify the residues essential for the inhibition of N-acetyl glutamate kinase of Corynebacterium glutamicum[J].Appl Microbiol Biot,2015,99(18):7527-7537.
[7]ZHAO Q Q,LUO Y C,DOU W F,et al.Controlling the transcription levels of arg GH redistributed L-arginine metabolic flux in N-acetylglutamate kinase and Arg R-deregulated Corynebacterium crenatum[J].J Ind Microbiol Biot,2016,43(1):55-66.
[8]LEE E,HENG R L,PILON L.Spectral optical properties of selected photosynthetic microalgae producing biofuels[J].J Quant Spectrosc Ra,2013,114:122-135.
[9]KHATAEE A R,KASIRI M B.Modeling of biological water and wastewater treatment processes using artificial neural networks[J].Clean-Soil Air Water,2011,39(8):742-749.
[10]SACCENTI E,HOEFSLOOT H C J,SMILDE A K,et al.Reflections on univariate and multivariate analysis of metabolomics data[J].Metabolomics,2014,10(3):361-374.
[11]LI C,LAN Y,ZHANG J,et al.Biodegradation of methidathion by Serratia sp.in pure cultures using an orthogonal experiment design,and its application in detoxification of the insecticide on crops[J].Ann Microbiol,2013,63(2):451-459.
[12]HE L,ZHOU L,XU X L,et al.Uniform design for optimizing biomass and intracellular polysaccharide production from self-flocculating Scenedesmus sp.-BH[J].Ann Microbiol,2014,64(4):1779-1787.
[13]KIRROLIA A,BISHNOI N R,SINGH R.Response surface methodology as a decision-making tool for optimization of culture conditions of green microalgae Chlorella spp.for biodiesel production[J].Ann Microbiol,2014,64(3):1133-1147.
[14]GARCíA-CAMACHO F,GALLARDO-RODRíGUEZ J J,SáNCHEZ-MIRóN A,et al.Genetic algorithm-based medium optimization for a toxic dinoflagellate microalga[J].Harmful Algae,2011,10(6):697-701.
[15]CAMACHO-RODRíGUEZ J,CERóN-GARCíA M C,FERNáNDEZ-SEVILLA,J M,et al.Genetic algorithm for the medium optimization of the microalga Nannochloropsis gaditana cultured to aquaculture[J].Bioresource Technol,2015,177:102-109.
[16]MUFFLER K,RETZLAFF M,ULBER R,et al.Optimisation of halogenase enzyme activity by application of a genetic algorithm[J].J Biotechnol,2007,127(3):425-433.
[17]ZHU C J,LEE Y K.Determination of biomass dry weight of marine microalgae[J].J Appl Phycol,1997,9(2):189-194.
[18]LI N,LIU Y,ZHAO Y,et al.Simultaneous HPLC determination of amino acids in tea infusion coupled to pre-column derivatization with 2,4-dinitrofluorobenzene[J].Food Anal Meth,2016,9(5):1307-1314.
[19]ZHANG J,CHUNG HSH,LO W L.Clustering-based adaptive crossover and mutation probabilities for genetic algorithms[J].Ieee T Evolut Comput,2007,11(3):326-335.
[20]李海亮,王莹,张洁,等.基于人工神经网络和遗传算法的黑木耳糙米醋发酵条件优化[J].中国酿造,2011,30(7):141-143.