Literature DB >> 31627989

Trends in Systems Biology for the Analysis and Engineering of Clostridium acetobutylicum Metabolism.

Minyeong Yoo1, Ngoc-Phuong-Thao Nguyen2, Philippe Soucaille3.   

Abstract

Clostridium acetobutylicum has received renewed interest worldwide as a promising producer of biofuels and bulk chemicals such as n-butanol, 1,3-propanediol, 1,3-butanediol, isopropanol, and butyrate. To develop commercial processes for the production of bulk chemicals via a metabolic engineering approach it is necessary to better characterize both the primary metabolism and metabolic regulation of C. acetobutylicum. Here, we review the history of the development of omics studies of C. acetobutylicum, summarize the recent application of quantitative/integrated omics approaches to the physiological analysis and metabolic engineering of this bacterium, and provide directions for future studies to address current challenges.
Copyright © 2019 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Clostridium acetobutylicum; biofuels; fluxomics; metabolic engineering; proteomics; systems biology; transcriptomics

Mesh:

Substances:

Year:  2019        PMID: 31627989     DOI: 10.1016/j.tim.2019.09.003

Source DB:  PubMed          Journal:  Trends Microbiol        ISSN: 0966-842X            Impact factor:   17.079


  4 in total

1.  One-year supplementation with Lactobacillus reuteri ATCC PTA 6475 counteracts a degradation of gut microbiota in older women with low bone mineral density.

Authors:  Peishun Li; Boyang Ji; Hao Luo; Daniel Sundh; Mattias Lorentzon; Jens Nielsen
Journal:  NPJ Biofilms Microbiomes       Date:  2022-10-19       Impact factor: 8.462

2.  RRNPP-type quorum sensing affects solvent formation and sporulation in Clostridium acetobutylicum.

Authors:  Ann-Kathrin Kotte; Oliver Severn; Zak Bean; Katrin Schwarz; Nigel P Minton; Klaus Winzer
Journal:  Microbiology (Reading)       Date:  2020-06       Impact factor: 2.777

Review 3.  Towards continuous industrial bioprocessing with solventogenic and acetogenic clostridia: challenges, progress and perspectives.

Authors:  Charlotte Anne Vees; Christian Simon Neuendorf; Stefan Pflügl
Journal:  J Ind Microbiol Biotechnol       Date:  2020-09-07       Impact factor: 3.346

4.  In silico gene knockout prediction using a hybrid of Bat algorithm and minimization of metabolic adjustment.

Authors:  Mei Yen Man; Mohd Saberi Mohamad; Yee Wen Choon; Mohd Arfian Ismail
Journal:  J Integr Bioinform       Date:  2021-08-04
  4 in total

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