Literature DB >> 28385593

A Genome Scale Model of Geobacillus thermoglucosidasius (C56-YS93) reveals its biotechnological potential on rice straw hydrolysate.

Ahmad Ahmad1, Hassan B Hartman2, S Krishnakumar3, David A Fell4, Mark G Poolman5, Shireesh Srivastava6.   

Abstract

Rice straw is a major crop residue which is burnt in many countries, creating significant air pollution. Thus, alternative routes for disposal of rice straw are needed. Biotechnological treatment of rice straw hydrolysate has potential to convert this agriculture waste into valuable biofuel(s) and platform chemicals. Geobacillus thermoglucosidasius is a thermophile with properties specially suited for use as a biocatalyst in lignocellulosic bioprocesses, such as high optimal temperature and tolerance to high levels of ethanol. However, the capabilities of G. thermoglucosidasius to utilise sugars in rice straw hydrolysate for making bioethanol and other platform chemicals have not been fully explored. In this work, we have created a genome scale metabolic model (denoted iGT736) of the organism containing 736 gene products, 1159 reactions and 1163 metabolites. The model was validated both by purely theoretical approaches and by comparing the behaviour of the model to previously published experimental results. The model was then used to determine the yields of a variety of platform chemicals from glucose and xylose - two primary sugars in rice straw hydrolysate. A comparison with results from a model of Escherichia coli shows that G. thermoglucosidasius is capable of producing a wider range of products, and that for the products also produced by E. coli, the yields are comparable. We also discuss strategies to utilise arabinose, a minor component of rice straw hydrolysate, and propose additional reactions to lead to the synthesis of xylitol, not currently produced by G. thermoglucosidasius. Our results provide additional motivation for the current exploration of the industrial potential of G. thermoglucosidasius and we make our model publicly available to aid the development of metabolic engineering strategies for this organism.
Copyright © 2017 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Fermentation; Flux balance analysis; Metabolic modelling; Rice straw; Thermophile

Mesh:

Substances:

Year:  2017        PMID: 28385593     DOI: 10.1016/j.jbiotec.2017.03.031

Source DB:  PubMed          Journal:  J Biotechnol        ISSN: 0168-1656            Impact factor:   3.307


  7 in total

Review 1.  Current status and applications of genus Geobacillus in the production of industrially important products-a review.

Authors:  Ashutosh Khaswal; Neha Chaturvedi; Santosh Kumar Mishra; Priya Ranjan Kumar; Prabir Kumar Paul
Journal:  Folia Microbiol (Praha)       Date:  2022-02-28       Impact factor: 2.099

2.  A genome-scale metabolic model of Cupriavidus necator H16 integrated with TraDIS and transcriptomic data reveals metabolic insights for biotechnological applications.

Authors:  Nicole Pearcy; Marco Garavaglia; Thomas Millat; James P Gilbert; Yoseb Song; Hassan Hartman; Craig Woods; Claudio Tomi-Andrino; Rajesh Reddy Bommareddy; Byung-Kwan Cho; David A Fell; Mark Poolman; John R King; Klaus Winzer; Jamie Twycross; Nigel P Minton
Journal:  PLoS Comput Biol       Date:  2022-05-23       Impact factor: 4.779

3.  Heterologous biosynthesis and characterization of a glycocin from a thermophilic bacterium.

Authors:  Arnoldas Kaunietis; Andrius Buivydas; Donaldas J Čitavičius; Oscar P Kuipers
Journal:  Nat Commun       Date:  2019-03-07       Impact factor: 14.919

4.  Genome-Scale Metabolic Modelling Approach to Understand the Metabolism of the Opportunistic Human Pathogen Staphylococcus epidermidis RP62A.

Authors:  Teresa Díaz Calvo; Noemi Tejera; Iain McNamara; Gemma C Langridge; John Wain; Mark Poolman; Dipali Singh
Journal:  Metabolites       Date:  2022-02-02

5.  Carbon Monoxide Induced Metabolic Shift in the Carboxydotrophic Parageobacillus thermoglucosidasius DSM 6285.

Authors:  Habibu Aliyu; Ronnie Kastner; Pieter de Maayer; Anke Neumann
Journal:  Microorganisms       Date:  2021-05-19

6.  In vivo selection of sfGFP variants with improved and reliable functionality in industrially important thermophilic bacteria.

Authors:  Elrike Frenzel; Jelmer Legebeke; Atze van Stralen; Richard van Kranenburg; Oscar P Kuipers
Journal:  Biotechnol Biofuels       Date:  2018-01-17       Impact factor: 6.040

7.  A Genome-Scale Metabolic Model of Thalassiosira pseudonana CCMP 1335 for a Systems-Level Understanding of Its Metabolism and Biotechnological Potential.

Authors:  Ahmad Ahmad; Archana Tiwari; Shireesh Srivastava
Journal:  Microorganisms       Date:  2020-09-11
  7 in total

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