Literature DB >> 35698129

Resource-aware whole-cell model of division of labour in a microbial consortium for complex-substrate degradation.

Guy-Bart Stan1, Rodrigo Ledesma-Amaro2, Eliza Atkinson3, Zoltan Tuza3, Giansimone Perrino3.   

Abstract

BACKGROUND: Low-cost sustainable feedstocks are essential for commercially viable biotechnologies. These feedstocks, often derived from plant or food waste, contain a multitude of different complex biomolecules which require multiple enzymes to hydrolyse and metabolise. Current standard biotechnology uses monocultures in which a single host expresses all the proteins required for the consolidated bioprocess. However, these hosts have limited capacity for expressing proteins before growth is impacted. This limitation may be overcome by utilising division of labour (DOL) in a consortium, where each member expresses a single protein of a longer degradation pathway.
RESULTS: Here, we model a two-strain consortium, with one strain expressing an endohydrolase and a second strain expressing an exohydrolase, for cooperative degradation of a complex substrate. Our results suggest that there is a balance between increasing expression to enhance degradation versus the burden that higher expression causes. Once a threshold of burden is reached, the consortium will consistently perform better than an equivalent single-cell monoculture.
CONCLUSIONS: We demonstrate that resource-aware whole-cell models can be used to predict the benefits and limitations of using consortia systems to overcome burden. Our model predicts the region of expression where DOL would be beneficial for growth on starch, which will assist in making informed design choices for this, and other, complex-substrate degradation pathways.
© 2022. The Author(s).

Entities:  

Keywords:  Consolidated bioprocesses; Division of labour; Microbial consortia; Resource-aware whole-cell modelling; Synthetic biology

Mesh:

Year:  2022        PMID: 35698129      PMCID: PMC9195437          DOI: 10.1186/s12934-022-01842-0

Source DB:  PubMed          Journal:  Microb Cell Fact        ISSN: 1475-2859            Impact factor:   6.352


  45 in total

1.  Metabolic load and heterologous gene expression.

Authors:  B R Glick
Journal:  Biotechnol Adv       Date:  1995       Impact factor: 14.227

2.  Experimental and computational optimization of an Escherichia coli co-culture for the efficient production of flavonoids.

Authors:  J Andrew Jones; Victoria R Vernacchio; Andrew L Sinkoe; Shannon M Collins; Mohammad H A Ibrahim; Daniel M Lachance; Juergen Hahn; Mattheos A G Koffas
Journal:  Metab Eng       Date:  2016-02-06       Impact factor: 9.783

Review 3.  Overloaded and stressed: whole-cell considerations for bacterial synthetic biology.

Authors:  Olivier Borkowski; Francesca Ceroni; Guy-Bart Stan; Tom Ellis
Journal:  Curr Opin Microbiol       Date:  2016-08-02       Impact factor: 7.934

4.  An Orthogonal Multi-input Integration System to Control Gene Expression in Escherichia coli.

Authors:  Fabio Annunziata; Antoni Matyjaszkiewicz; Gianfranco Fiore; Claire S Grierson; Lucia Marucci; Mario di Bernardo; Nigel J Savery
Journal:  ACS Synth Biol       Date:  2017-07-25       Impact factor: 5.110

5.  Engineering Escherichia coli coculture systems for the production of biochemical products.

Authors:  Haoran Zhang; Brian Pereira; Zhengjun Li; Gregory Stephanopoulos
Journal:  Proc Natl Acad Sci U S A       Date:  2015-06-25       Impact factor: 11.205

6.  Production of rice straw hydrolysis enzymes by the fungi Trichoderma reesei and Humicola insolens using rice straw as a carbon source.

Authors:  Takashi Kogo; Yuki Yoshida; Keisuke Koganei; Hitoshi Matsumoto; Taisuke Watanabe; Jun Ogihara; Takafumi Kasumi
Journal:  Bioresour Technol       Date:  2017-02-11       Impact factor: 9.642

Review 7.  Bacterial growth laws and their applications.

Authors:  Matthew Scott; Terence Hwa
Journal:  Curr Opin Biotechnol       Date:  2011-05-16       Impact factor: 9.740

8.  Construction of Synthetic Microbial Ecosystems and the Regulation of Population Proportion.

Authors:  Wei Jiang; Xiaoya Yang; Fei Gu; Xiaomeng Li; Sumeng Wang; Yue Luo; Qingsheng Qi; Quanfeng Liang
Journal:  ACS Synth Biol       Date:  2022-01-19       Impact factor: 5.110

9.  Characterization of the E. coli proteome and its modifications during growth and ethanol stress.

Authors:  Boumediene Soufi; Karsten Krug; Andreas Harst; Boris Macek
Journal:  Front Microbiol       Date:  2015-02-18       Impact factor: 5.640

10.  Discovery of potential pathways for biological conversion of poplar wood into lipids by co-fermentation of Rhodococci strains.

Authors:  Xiaolu Li; Yucai He; Libing Zhang; Zhangyang Xu; Haoxi Ben; Matthew J Gaffrey; Yongfu Yang; Shihui Yang; Joshua S Yuan; Wei-Jun Qian; Bin Yang
Journal:  Biotechnol Biofuels       Date:  2019-03-19       Impact factor: 6.040

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