Improving L-phenylacetylcarbinol production in Saccharomyces cerevisiae by in silico aided metabolic engineering

被引:12
作者
Iranmanesh, Elham [1 ]
Asadollahi, Mohammad Ali [1 ]
Biria, Davoud [1 ]
机构
[1] Univ Isfahan, Fac Adv Sci & Technol, Dept Biotechnol, Esfahan 8174673441, Iran
关键词
Metabolic engineering; L-phenylacetylcarbinol; Saccharomyces cerevisiae; Flux balance analysis; OptGene; (R)-PHENYLACETYLCARBINOL PRODUCTION; PYRUVATE DECARBOXYLASE; YEAST; BENZALDEHYDE; BIOTRANSFORMATION; CARBINOL; ENZYMES; RECONSTRUCTION; BIOSYNTHESIS; PREDICTION;
D O I
10.1016/j.jbiotec.2019.11.008
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
L-Phenylacetylcarbinol (L-PAC) which is used as a precursor for the production of ephedrine and pseudoephedrine is the first reported biologically produced a-hydroxy ketone compound. L-PAC is commercially produced by the yeast Saccharomyces cerevisiae. Yeast cells transform exogenously added benzaldehyde into L-PAC by using the action of pyruvate decarboxylase (PDC) enzyme. In this work, genome-scale model and flux balance analysis were used to identify novel target genes for the enhancement of L-PAC production in yeast. The effect of gene deletions on the flux distributions in the metabolic model of S. cerevisiae was assessed using OptGene and minimization of metabolic adjustments. Six single gene deletion strains, namely Delta rpe1, Delta pda1, Delta adh3, Delta adh1, Delta zwf1 and Delta pdc1, were predicted in silico and further tested in vivo by using knock-out strains cultivated semi-anaerobically on glucose and benzaldehyde as substrates. Delta zwf1 mutant exhibited the highest L-PAC formation (2.48 g/L) by using 2 g/L of benzaldehyde which is equivalent to 88 % of the theoretical yield.
引用
收藏
页码:27 / 34
页数:8
相关论文
共 46 条
[1]   Ephedra in perspective - a current review [J].
Abourashed, EA ;
El-Alfy, AT ;
Khan, IA ;
Walker, L .
PHYTOTHERAPY RESEARCH, 2003, 17 (07) :703-712
[2]   Engineering of yeast pyruvate decarboxylase for enhanced selectivity towards carboligation [J].
Agarwal, Praveen Kumar ;
Uppada, Vanita ;
Swaminathan, A. G. ;
Noronha, Santosh B. .
BIORESOURCE TECHNOLOGY, 2015, 192 :90-96
[3]   Genome-scale modeling enables metabolic engineering of Saccharomyces cerevisiae for succinic acid production [J].
Agren, Rasmus ;
Otero, Jose Manuel ;
Nielsen, Jens .
JOURNAL OF INDUSTRIAL MICROBIOLOGY & BIOTECHNOLOGY, 2013, 40 (07) :735-747
[4]   Metabolic engineering challenges in the post-genomic era [J].
Alper, H ;
Stephanopoulos, G .
CHEMICAL ENGINEERING SCIENCE, 2004, 59 (22-23) :5009-5017
[5]   Identifying gene targets for the metabolic engineering of lycopene biosynthesis in Escherichia coli [J].
Alper, H ;
Jin, YS ;
Moxley, JF ;
Stephanopoulos, G .
METABOLIC ENGINEERING, 2005, 7 (03) :155-164
[6]   Biotransformation using halotolerant yeast in seawater: a sustainable strategy to produce R-(-)-phenylacetylcarbinol [J].
Andreu, Cecilia ;
del Olmo, Marcel Li .
APPLIED MICROBIOLOGY AND BIOTECHNOLOGY, 2018, 102 (11) :4717-4727
[7]   Enhancing sesquiterpene production in Saccharomyces cerevisiae through in silico driven metabolic engineering [J].
Asadollahi, Mohammad A. ;
Maury, Jerome ;
Patil, Kiran Raosaheb ;
Schalk, Michel ;
Clark, Anthony ;
Nielsen, Jens .
METABOLIC ENGINEERING, 2009, 11 (06) :328-334
[8]   Large-scale 13C-flux analysis reveals mechanistic principles of metabolic network robustness to null mutations in yeast -: art. no. R49 [J].
Blank, LM ;
Kuepfer, L ;
Sauer, U .
GENOME BIOLOGY, 2005, 6 (06)
[9]   In silico aided metabolic engineering of Saccharomyces cerevisiae for improved bioethanol production [J].
Bro, C ;
Regenberg, B ;
Förster, J ;
Nielsen, J .
METABOLIC ENGINEERING, 2006, 8 (02) :102-111
[10]   Improved vanillin production in baker's yeast through in silico design [J].
Brochado, Ana Rita ;
Matos, Claudia ;
Moller, Birger L. ;
Hansen, Jorgen ;
Mortensen, Uffe H. ;
Patil, Kiran Raosaheb .
MICROBIAL CELL FACTORIES, 2010, 9