Literature DB >> 18698648

Analysis of NADPH supply during xylitol production by engineered Escherichia coli.

Jonathan W Chin1, Reza Khankal, Caroline A Monroe, Costas D Maranas, Patrick C Cirino.   

Abstract

Escherichia coli strain PC09 (DeltaxylB, cAMP-independent CRP (crp*) mutant) expressing an NADPH-dependent xylose reductase from Candida boidinii (CbXR) was previously reported to produce xylitol from xylose while metabolizing glucose [Cirino et al. (2006) Biotechnol Bioeng 95(6): 1167-1176]. This study aims to understand the role of NADPH supply in xylitol yield and the contribution of key central carbon metabolism enzymes toward xylitol production. Studies in which the expression of CbXR or a xylose transporter was increased suggest that enzyme activity and xylose transport are not limiting xylitol production in PC09. A constraints-based stoichiometric metabolic network model was used to understand the roles of central carbon metabolism reactions and xylose transport energetics on the theoretical maximum molar xylitol yield (xylitol produced per glucose consumed), and xylitol yields (Y(RPG)) were measured from resting cell biotransformations with various PC09 derivative strains. For the case of xylose-proton symport, omitting the Zwf (glucose-6-phosphate dehydrogenase) or PntAB (membrane-bound transhydrogenase) reactions or TCA cycle activity from the model reduces the theoretical maximum yield from 9.2 to 8.8, 3.6, and 8.0 mol xylitol (mol glucose)(-1), respectively. Experimentally, deleting pgi (encoding phosphoglucose isomerase) from strain PC09 improves the yield from 3.4 to 4.0 mol xylitol (mol glucose)(-1), while deleting either or both E. coli transhydrogenases (sthA and pntA) has no significant effect on the measured yield. Deleting either zwf or sucC (TCA cycle) significantly reduces the yield from 3.4 to 2.0 and 2.3 mol xylitol (mol glucose)(-1), respectively. Expression of a xylose reductase with relaxed cofactor specificity increases the yield to 4.0. The large discrepancy between theoretical maximum and experimentally determined yield values suggests that biocatalysis is compromised by pathways competing for reducing equivalents and dissipating energy. The metabolic role of transhydrogenases during E. coli biocatalysis has remained largely unspecified. Our results demonstrate the importance of direct NADPH supply by NADP+-utilizing enzymes in central metabolism for driving heterologous NADPH-dependent reactions, and suggest that the pool of reduced cofactors available for biotransformation is not readily interchangeable via transhydrogenase.

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Year:  2009        PMID: 18698648     DOI: 10.1002/bit.22060

Source DB:  PubMed          Journal:  Biotechnol Bioeng        ISSN: 0006-3592            Impact factor:   4.530


  20 in total

1.  Anaerobic obligatory xylitol production in Escherichia coli strains devoid of native fermentation pathways.

Authors:  Olubolaji Akinterinwa; Patrick C Cirino
Journal:  Appl Environ Microbiol       Date:  2010-11-19       Impact factor: 4.792

2.  Expanding the repertoire of biofuel alternatives through metabolic pathway evolution.

Authors:  Mattheos A G Koffas
Journal:  Proc Natl Acad Sci U S A       Date:  2009-01-21       Impact factor: 11.205

3.  Computational design of Candida boidinii xylose reductase for altered cofactor specificity.

Authors:  George A Khoury; Hossein Fazelinia; Jonathan W Chin; Robert J Pantazes; Patrick C Cirino; Costas D Maranas
Journal:  Protein Sci       Date:  2009-10       Impact factor: 6.725

4.  Increasing reducing power output (NADH) of glucose catabolism for reduction of xylose to xylitol by genetically engineered Escherichia coli AI05.

Authors:  Andrew Iverson; Erin Garza; Jinfang Zhao; Yongze Wang; Xiao Zhao; Jinhua Wang; Ryan Manow; Shengde Zhou
Journal:  World J Microbiol Biotechnol       Date:  2013-02-23       Impact factor: 3.312

5.  Molecular determinants of the cofactor specificity of ribitol dehydrogenase, a short-chain dehydrogenase/reductase.

Authors:  Hee-Jung Moon; Manish Kumar Tiwari; Ranjitha Singh; Yun Chan Kang; Jung-Kul Lee
Journal:  Appl Environ Microbiol       Date:  2012-02-17       Impact factor: 4.792

6.  Redirecting carbon flux through pgi-deficient and heterologous transhydrogenase toward efficient succinate production in Corynebacterium glutamicum.

Authors:  Chen Wang; Zhihui Zhou; Heng Cai; Zhongjun Chen; Hongtao Xu
Journal:  J Ind Microbiol Biotechnol       Date:  2017-03-16       Impact factor: 3.346

7.  Proline availability regulates proline-4-hydroxylase synthesis and substrate uptake in proline-hydroxylating recombinant Escherichia coli.

Authors:  Francesco Falcioni; Lars M Blank; Oliver Frick; Andreas Karau; Bruno Bühler; Andreas Schmid
Journal:  Appl Environ Microbiol       Date:  2013-03-01       Impact factor: 4.792

Review 8.  Metabolic engineering for production of biorenewable fuels and chemicals: contributions of synthetic biology.

Authors:  Laura R Jarboe; Xueli Zhang; Xuan Wang; Jonathan C Moore; K T Shanmugam; Lonnie O Ingram
Journal:  J Biomed Biotechnol       Date:  2010-04-06

9.  In silico model-driven cofactor engineering strategies for improving the overall NADP(H) turnover in microbial cell factories.

Authors:  Meiyappan Lakshmanan; Kai Yu; Lokanand Koduru; Dong-Yup Lee
Journal:  J Ind Microbiol Biotechnol       Date:  2015-08-08       Impact factor: 3.346

10.  Transcriptional effects of CRP* expression in Escherichia coli.

Authors:  Reza Khankal; Jonathan W Chin; Debashis Ghosh; Patrick C Cirino
Journal:  J Biol Eng       Date:  2009-08-24       Impact factor: 4.355

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