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Systems Biology – A Guide for Understanding and Developing Improved Strains of Lactic Acid Bacteria

Lactic Acid Bacteria (LAB) are extensively employed in the production of various fermented foods, due to their safe status, ability to affect texture and flavor and finally due to the beneficial effect they have on shelf-life. More recently, LAB have also gained interest as production hosts for vari...

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Autores principales: Liu, Jianming, Chan, Siu Hung Joshua, Chen, Jun, Solem, Christian, Jensen, Peter Ruhdal
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6503107/
https://www.ncbi.nlm.nih.gov/pubmed/31114552
http://dx.doi.org/10.3389/fmicb.2019.00876
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author Liu, Jianming
Chan, Siu Hung Joshua
Chen, Jun
Solem, Christian
Jensen, Peter Ruhdal
author_facet Liu, Jianming
Chan, Siu Hung Joshua
Chen, Jun
Solem, Christian
Jensen, Peter Ruhdal
author_sort Liu, Jianming
collection PubMed
description Lactic Acid Bacteria (LAB) are extensively employed in the production of various fermented foods, due to their safe status, ability to affect texture and flavor and finally due to the beneficial effect they have on shelf-life. More recently, LAB have also gained interest as production hosts for various useful compounds, particularly compounds with sensitive applications, such as food ingredients and therapeutics. As for all industrial microorganisms, it is important to have a good understanding of the physiology and metabolism of LAB in order to fully exploit their potential, and for this purpose, many systems biology approaches are available. Systems metabolic engineering, an approach that combines optimization of metabolic enzymes/pathways at the systems level, synthetic biology as well as in silico model simulation, has been used to build microbial cell factories for production of biofuels, food ingredients and biochemicals. When developing LAB for use in foods, genetic engineering is in general not an accepted approach. An alternative is to screen mutant libraries for candidates with desirable traits using high-throughput screening technologies or to use adaptive laboratory evolution to select for mutants with special properties. In both cases, by using omics data and data-driven technologies to scrutinize these, it is possible to find the underlying cause for the desired attributes of such mutants. This review aims to describe how systems biology tools can be used for obtaining both engineered as well as non-engineered LAB with novel and desired properties.
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spelling pubmed-65031072019-05-21 Systems Biology – A Guide for Understanding and Developing Improved Strains of Lactic Acid Bacteria Liu, Jianming Chan, Siu Hung Joshua Chen, Jun Solem, Christian Jensen, Peter Ruhdal Front Microbiol Microbiology Lactic Acid Bacteria (LAB) are extensively employed in the production of various fermented foods, due to their safe status, ability to affect texture and flavor and finally due to the beneficial effect they have on shelf-life. More recently, LAB have also gained interest as production hosts for various useful compounds, particularly compounds with sensitive applications, such as food ingredients and therapeutics. As for all industrial microorganisms, it is important to have a good understanding of the physiology and metabolism of LAB in order to fully exploit their potential, and for this purpose, many systems biology approaches are available. Systems metabolic engineering, an approach that combines optimization of metabolic enzymes/pathways at the systems level, synthetic biology as well as in silico model simulation, has been used to build microbial cell factories for production of biofuels, food ingredients and biochemicals. When developing LAB for use in foods, genetic engineering is in general not an accepted approach. An alternative is to screen mutant libraries for candidates with desirable traits using high-throughput screening technologies or to use adaptive laboratory evolution to select for mutants with special properties. In both cases, by using omics data and data-driven technologies to scrutinize these, it is possible to find the underlying cause for the desired attributes of such mutants. This review aims to describe how systems biology tools can be used for obtaining both engineered as well as non-engineered LAB with novel and desired properties. Frontiers Media S.A. 2019-04-30 /pmc/articles/PMC6503107/ /pubmed/31114552 http://dx.doi.org/10.3389/fmicb.2019.00876 Text en Copyright © 2019 Liu, Chan, Chen, Solem and Jensen. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Microbiology
Liu, Jianming
Chan, Siu Hung Joshua
Chen, Jun
Solem, Christian
Jensen, Peter Ruhdal
Systems Biology – A Guide for Understanding and Developing Improved Strains of Lactic Acid Bacteria
title Systems Biology – A Guide for Understanding and Developing Improved Strains of Lactic Acid Bacteria
title_full Systems Biology – A Guide for Understanding and Developing Improved Strains of Lactic Acid Bacteria
title_fullStr Systems Biology – A Guide for Understanding and Developing Improved Strains of Lactic Acid Bacteria
title_full_unstemmed Systems Biology – A Guide for Understanding and Developing Improved Strains of Lactic Acid Bacteria
title_short Systems Biology – A Guide for Understanding and Developing Improved Strains of Lactic Acid Bacteria
title_sort systems biology – a guide for understanding and developing improved strains of lactic acid bacteria
topic Microbiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6503107/
https://www.ncbi.nlm.nih.gov/pubmed/31114552
http://dx.doi.org/10.3389/fmicb.2019.00876
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