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Resource-aware whole-cell model of division of labour in a microbial consortium for complex-substrate degradation
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 biotechnolog...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9195437/ https://www.ncbi.nlm.nih.gov/pubmed/35698129 http://dx.doi.org/10.1186/s12934-022-01842-0 |
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author | Atkinson, Eliza Tuza, Zoltan Perrino, Giansimone Stan, Guy-Bart Ledesma-Amaro, Rodrigo |
author_facet | Atkinson, Eliza Tuza, Zoltan Perrino, Giansimone Stan, Guy-Bart Ledesma-Amaro, Rodrigo |
author_sort | Atkinson, Eliza |
collection | PubMed |
description | 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12934-022-01842-0. |
format | Online Article Text |
id | pubmed-9195437 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-91954372022-06-15 Resource-aware whole-cell model of division of labour in a microbial consortium for complex-substrate degradation Atkinson, Eliza Tuza, Zoltan Perrino, Giansimone Stan, Guy-Bart Ledesma-Amaro, Rodrigo Microb Cell Fact Research 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12934-022-01842-0. BioMed Central 2022-06-14 /pmc/articles/PMC9195437/ /pubmed/35698129 http://dx.doi.org/10.1186/s12934-022-01842-0 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Atkinson, Eliza Tuza, Zoltan Perrino, Giansimone Stan, Guy-Bart Ledesma-Amaro, Rodrigo Resource-aware whole-cell model of division of labour in a microbial consortium for complex-substrate degradation |
title | Resource-aware whole-cell model of division of labour in a microbial consortium for complex-substrate degradation |
title_full | Resource-aware whole-cell model of division of labour in a microbial consortium for complex-substrate degradation |
title_fullStr | Resource-aware whole-cell model of division of labour in a microbial consortium for complex-substrate degradation |
title_full_unstemmed | Resource-aware whole-cell model of division of labour in a microbial consortium for complex-substrate degradation |
title_short | Resource-aware whole-cell model of division of labour in a microbial consortium for complex-substrate degradation |
title_sort | resource-aware whole-cell model of division of labour in a microbial consortium for complex-substrate degradation |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9195437/ https://www.ncbi.nlm.nih.gov/pubmed/35698129 http://dx.doi.org/10.1186/s12934-022-01842-0 |
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