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Modelling microbial communities: Harnessing consortia for biotechnological applications

Microbes propagate and thrive in complex communities, and there are many benefits to studying and engineering microbial communities instead of single strains. Microbial communities are being increasingly leveraged in biotechnological applications, as they present significant advantages such as the d...

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Detalles Bibliográficos
Autores principales: Ibrahim, Maziya, Raajaraam, Lavanya, Raman, Karthik
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Research Network of Computational and Structural Biotechnology 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8441623/
https://www.ncbi.nlm.nih.gov/pubmed/34584635
http://dx.doi.org/10.1016/j.csbj.2021.06.048
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author Ibrahim, Maziya
Raajaraam, Lavanya
Raman, Karthik
author_facet Ibrahim, Maziya
Raajaraam, Lavanya
Raman, Karthik
author_sort Ibrahim, Maziya
collection PubMed
description Microbes propagate and thrive in complex communities, and there are many benefits to studying and engineering microbial communities instead of single strains. Microbial communities are being increasingly leveraged in biotechnological applications, as they present significant advantages such as the division of labour and improved substrate utilisation. Nevertheless, they also present some interesting challenges to surmount for the design of efficient biotechnological processes. In this review, we discuss key principles of microbial interactions, followed by a deep dive into genome-scale metabolic models, focussing on a vast repertoire of constraint-based modelling methods that enable us to characterise and understand the metabolic capabilities of microbial communities. Complementary approaches to model microbial communities, such as those based on graph theory, are also briefly discussed. Taken together, these methods provide rich insights into the interactions between microbes and how they influence microbial community productivity. We finally overview approaches that allow us to generate and test numerous synthetic community compositions, followed by tools and methodologies that can predict effective genetic interventions to further improve the productivity of communities. With impending advancements in high-throughput omics of microbial communities, the stage is set for the rapid expansion of microbial community engineering, with a significant impact on biotechnological processes.
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spelling pubmed-84416232021-09-27 Modelling microbial communities: Harnessing consortia for biotechnological applications Ibrahim, Maziya Raajaraam, Lavanya Raman, Karthik Comput Struct Biotechnol J Review Microbes propagate and thrive in complex communities, and there are many benefits to studying and engineering microbial communities instead of single strains. Microbial communities are being increasingly leveraged in biotechnological applications, as they present significant advantages such as the division of labour and improved substrate utilisation. Nevertheless, they also present some interesting challenges to surmount for the design of efficient biotechnological processes. In this review, we discuss key principles of microbial interactions, followed by a deep dive into genome-scale metabolic models, focussing on a vast repertoire of constraint-based modelling methods that enable us to characterise and understand the metabolic capabilities of microbial communities. Complementary approaches to model microbial communities, such as those based on graph theory, are also briefly discussed. Taken together, these methods provide rich insights into the interactions between microbes and how they influence microbial community productivity. We finally overview approaches that allow us to generate and test numerous synthetic community compositions, followed by tools and methodologies that can predict effective genetic interventions to further improve the productivity of communities. With impending advancements in high-throughput omics of microbial communities, the stage is set for the rapid expansion of microbial community engineering, with a significant impact on biotechnological processes. Research Network of Computational and Structural Biotechnology 2021-07-03 /pmc/articles/PMC8441623/ /pubmed/34584635 http://dx.doi.org/10.1016/j.csbj.2021.06.048 Text en © 2021 The Author(s) https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Ibrahim, Maziya
Raajaraam, Lavanya
Raman, Karthik
Modelling microbial communities: Harnessing consortia for biotechnological applications
title Modelling microbial communities: Harnessing consortia for biotechnological applications
title_full Modelling microbial communities: Harnessing consortia for biotechnological applications
title_fullStr Modelling microbial communities: Harnessing consortia for biotechnological applications
title_full_unstemmed Modelling microbial communities: Harnessing consortia for biotechnological applications
title_short Modelling microbial communities: Harnessing consortia for biotechnological applications
title_sort modelling microbial communities: harnessing consortia for biotechnological applications
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8441623/
https://www.ncbi.nlm.nih.gov/pubmed/34584635
http://dx.doi.org/10.1016/j.csbj.2021.06.048
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