Literature DB >> 31150803

Identification of modifications procuring growth on xylose in recombinant Saccharomyces cerevisiae strains carrying the Weimberg pathway.

Celina Borgström1, Lisa Wasserstrom1, Henrik Almqvist2, Kristina Broberg2, Bianca Klein3, Stephan Noack4, Gunnar Lidén2, Marie F Gorwa-Grauslund5.   

Abstract

The most prevalent xylose-assimilating pathways in recombinant Saccharomyces cerevisiae, i.e. the xylose isomerase (XI) and the xylose reductase/xylitol dehydrogenase (XR/XDH) pathways, channel the carbon flux through the pentose phosphate pathway and further into glycolysis. In contrast, the oxidative and non-phosphorylative bacterial Weimberg pathway channels the xylose carbon through five steps into the metabolic node α-ketoglutarate (αKG) that can be utilized for growth or diverted into production of various metabolites. In the present study, steps preventing the establishment of a functional Weimberg pathway in S. cerevisiae were identified. Using an original design where a S. cerevisiae strain was expressing the essential four genes of the Caulobacter crescentus pathway (xylB, xylD, xylX, xylA) together with a deletion of FRA2 gene to upregulate the iron-sulfur metabolism, it was shown that the C. crescentus αKG semialdehyde dehydrogenase, XylA was not functional in S. cerevisiae. When replaced by the recently described analog from Corynebacterium glutamicum, KsaD, significantly higher in vitro activity was observed but the strain did not grow on xylose. Adaptive laboratory evolution (ALE) on a xylose/glucose medium on this strain led to a loss of XylB, the first step of the Weimberg pathway, suggesting that ALE favored minimizing the inhibiting xylonate accumulation by restricting the upper part of the pathway. Therefore three additional gene copies of the lower Weimberg pathway (XylD, XylX and KsaD) were introduced. The resulting S. cerevisiae strain (ΔΔfra2, xylB, 4x (xylD-xylX-ksaD)) was able to generate biomass from xylose and Weimberg pathway intermediates were detected. To our knowledge this is the first report of a functional complete Weimberg pathway expressed in fungi. When optimized this pathway has the potential to channel xylose towards value-added specialty chemicals such as dicarboxylic acids and diols.
Copyright © 2019 The Authors. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Saccharomyces cerevisiae; Weimberg pathway; Xylose; α-ketoglutarate; α-ketoglutarate semialdehyde dehydrogenase

Mesh:

Substances:

Year:  2019        PMID: 31150803     DOI: 10.1016/j.ymben.2019.05.010

Source DB:  PubMed          Journal:  Metab Eng        ISSN: 1096-7176            Impact factor:   9.783


  5 in total

Review 1.  Understanding D-xylonic acid accumulation: a cornerstone for better metabolic engineering approaches.

Authors:  Angelo B Bañares; Grace M Nisola; Kris Niño G Valdehuesa; Won-Keun Lee; Wook-Jin Chung
Journal:  Appl Microbiol Biotechnol       Date:  2021-07-03       Impact factor: 4.813

2.  A combined experimental and modelling approach for the Weimberg pathway optimisation.

Authors:  Lu Shen; Martha Kohlhaas; Junichi Enoki; Roland Meier; Bernhard Schönenberger; Roland Wohlgemuth; Robert Kourist; Felix Niemeyer; David van Niekerk; Christopher Bräsen; Jochen Niemeyer; Jacky Snoep; Bettina Siebers
Journal:  Nat Commun       Date:  2020-02-27       Impact factor: 14.919

Review 3.  Xylo-Oligosaccharide Utilization by Engineered Saccharomyces cerevisiae to Produce Ethanol.

Authors:  Dielle Pierotti Procópio; Emanuele Kendrick; Rosana Goldbeck; André Ricardo de Lima Damasio; Telma Teixeira Franco; David J Leak; Yong-Su Jin; Thiago Olitta Basso
Journal:  Front Bioeng Biotechnol       Date:  2022-02-15

Review 4.  D-Xylose Sensing in Saccharomyces cerevisiae: Insights from D-Glucose Signaling and Native D-Xylose Utilizers.

Authors:  Daniel P Brink; Celina Borgström; Viktor C Persson; Karen Ofuji Osiro; Marie F Gorwa-Grauslund
Journal:  Int J Mol Sci       Date:  2021-11-17       Impact factor: 5.923

5.  Amyotrophic lateral sclerosis alters the metabolic aging profile in patient derived fibroblasts.

Authors:  Margarita Gerou; Benjamin Hall; Ryan Woof; Jessica Allsop; Stephen J Kolb; Kathrin Meyer; Pamela J Shaw; Scott P Allen
Journal:  Neurobiol Aging       Date:  2021-04-27       Impact factor: 4.673

  5 in total

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