Literature DB >> 23989925

Metabolic and transcriptional response of Escherichia coli with a NADP(+)-dependent glyceraldehyde 3-phosphate dehydrogenase from Streptococcus mutans.

Sara Centeno-Leija1, José Utrilla, Noemí Flores, Alberto Rodriguez, Guillermo Gosset, Alfredo Martinez.   

Abstract

The NAD(+)-dependent glyceraldehyde-3-phosphate-dehydrogenase (NAD(+)-GAPDH) is a key enzyme to sustain the glycolytic function in Escherichia coli and to generate NADH. In the absence of NAD(+)-GAPDH activity, the glycolytic function can be restored through NADP(+)-dependent GAPDH heterologous expression. Here, some metabolic and transcriptional effects are described when the NAD(+)-GAPDH gene from E. coli (gapA) is replaced with the NADP(+)-GAPDH gene from Streptococcus mutans (gapN). Expression of gapN was controlled by the native gapA promoter (E. coliΔgapA::gapN) or by the constitutive trc promoter in a multicopy plasmid (E. coliΔgapA::gapN/pTrcgapN). The specific NADP(+)-GAPDH activity was 4.7 times higher in E. coliΔgapA::gapN/pTrcgapN than E. coliΔgapA::gapN. Growth, glucose consumption and acetic acid production rates increased in agreement with the NADP(+)-GAPDH activity level. Analysis of E. coliΔgapA::gapN/pTrcgapN showed that although gapN expression complemented NAD(+)-GAPDH activity, the resulting low NADH levels decreased the expression of the respiratory chain and oxidative phosphorylation genes (ndh, cydA, cyoB and atpA). In comparison with the wild type strain, E. coliΔgapA::gapN/pTrcgapN decreased the percentage of mole of oxygen consumed per mole of glucose metabolized by 40 % with a concomitant reduction of 54 % in the ATP/ADP ratio. The cellular response to avoid NADPH excess led to the overexpression of the transhydrogenase coded by udhA and the down-regulation of the pentose-phosphate and Krebs cycle genes, which reduced the CO2 production and increased the acetic acid synthesis. The E. coli strains obtained in this work can be useful for future metabolic engineering efforts aiming for the production of metabolites which biosynthesis depends on NADPH.

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Year:  2013        PMID: 23989925     DOI: 10.1007/s10482-013-0010-6

Source DB:  PubMed          Journal:  Antonie Van Leeuwenhoek        ISSN: 0003-6072            Impact factor:   2.271


  7 in total

Review 1.  Metabolic engineering of carbon and redox flow in the production of small organic acids.

Authors:  Chandresh Thakker; Irene Martínez; Wei Li; Ka-Yiu San; George N Bennett
Journal:  J Ind Microbiol Biotechnol       Date:  2014-12-13       Impact factor: 3.346

2.  Metabolic engineering of an ATP-neutral Embden-Meyerhof-Parnas pathway in Corynebacterium glutamicum: growth restoration by an adaptive point mutation in NADH dehydrogenase.

Authors:  Gajendar Komati Reddy; Steffen N Lindner; Volker F Wendisch
Journal:  Appl Environ Microbiol       Date:  2015-01-09       Impact factor: 4.792

3.  Engineering of Escherichia coli Glyceraldehyde-3-Phosphate Dehydrogenase with Dual NAD+/NADP+ Cofactor Specificity for Improving Amino Acid Production.

Authors:  Ekaterina A Slivinskaya; Natalia S Plekhanova; Irina B Altman; Tatiana A Yampolskaya
Journal:  Microorganisms       Date:  2022-05-06

4.  Development of a High-Throughput, In Vivo Selection Platform for NADPH-Dependent Reactions Based on Redox Balance Principles.

Authors:  Linyue Zhang; Edward King; Ray Luo; Han Li
Journal:  ACS Synth Biol       Date:  2018-06-29       Impact factor: 5.110

5.  Metabolic flux analysis and the NAD(P)H/NAD(P)+ ratios in chemostat cultures of Azotobacter vinelandii.

Authors:  Andres García; Pau Ferrer; Joan Albiol; Tania Castillo; Daniel Segura; Carlos Peña
Journal:  Microb Cell Fact       Date:  2018-01-22       Impact factor: 5.328

6.  Model-driven intracellular redox status modulation for increasing isobutanol production in Escherichia coli.

Authors:  Jiao Liu; Haishan Qi; Cheng Wang; Jianping Wen
Journal:  Biotechnol Biofuels       Date:  2015-08-01       Impact factor: 6.040

Review 7.  NADPH-generating systems in bacteria and archaea.

Authors:  Sebastiaan K Spaans; Ruud A Weusthuis; John van der Oost; Servé W M Kengen
Journal:  Front Microbiol       Date:  2015-07-29       Impact factor: 5.640

  7 in total

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