Literature DB >> 27794465

Enhanced solvent production by metabolic engineering of a twin-clostridial consortium.

Zhiqiang Wen1, Nigel P Minton2, Ying Zhang2, Qi Li3, Jinle Liu3, Yu Jiang4, Sheng Yang5.   

Abstract

The efficient fermentative production of solvents (acetone, n-butanol, and ethanol) from a lignocellulosic feedstock using a single process microorganism has yet to be demonstrated. Herein, we developed a consolidated bioprocessing (CBP) based on a twin-clostridial consortium composed of Clostridium cellulovorans and Clostridium beijerinckii capable of producing cellulosic butanol from alkali-extracted, deshelled corn cobs (AECC). To accomplish this a genetic system was developed for C. cellulovorans and used to knock out the genes encoding acetate kinase (Clocel_1892) and lactate dehydrogenase (Clocel_1533), and to overexpress the gene encoding butyrate kinase (Clocel_3674), thereby pulling carbon flux towards butyrate production. In parallel, to enhance ethanol production, the expression of a putative hydrogenase gene (Clocel_2243) was down-regulated using CRISPR interference (CRISPRi). Simultaneously, genes involved in organic acids reassimilation (ctfAB, cbei_3833/3834) and pentose utilization (xylR, cbei_2385 and xylT, cbei_0109) were engineered in C. beijerinckii to enhance solvent production. The engineered twin-clostridia consortium was shown to decompose 83.2g/L of AECC and produce 22.1g/L of solvents (4.25g/L acetone, 11.5g/L butanol and 6.37g/L ethanol). This titer of acetone-butanol-ethanol (ABE) approximates to that achieved from a starchy feedstock. The developed twin-clostridial consortium serves as a promising platform for ABE fermentation from lignocellulose by CBP.
Copyright © 2016 International Metabolic Engineering Society. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Acetone-butanol-ethanol fermentation; Consolidated bioprocessing; Genetic system; Modular metabolic engineering; Twin-clostridia consortium

Mesh:

Substances:

Year:  2016        PMID: 27794465     DOI: 10.1016/j.ymben.2016.10.013

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


  26 in total

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