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Dynamic co‐culture metabolic models reveal the fermentation dynamics, metabolic capacities and interplays of cheese starter cultures

In this study, we have investigated the cheese starter culture as a microbial community through a question: can the metabolic behaviour of a co‐culture be explained by the characterized individual organism that constituted the co‐culture? To address this question, the dairy‐origin lactic acid bacter...

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Autores principales: Özcan, Emrah, Seven, Merve, Şirin, Burcu, Çakır, Tunahan, Nikerel, Emrah, Teusink, Bas, Toksoy Öner, Ebru
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7971941/
https://www.ncbi.nlm.nih.gov/pubmed/32926401
http://dx.doi.org/10.1002/bit.27565
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author Özcan, Emrah
Seven, Merve
Şirin, Burcu
Çakır, Tunahan
Nikerel, Emrah
Teusink, Bas
Toksoy Öner, Ebru
author_facet Özcan, Emrah
Seven, Merve
Şirin, Burcu
Çakır, Tunahan
Nikerel, Emrah
Teusink, Bas
Toksoy Öner, Ebru
author_sort Özcan, Emrah
collection PubMed
description In this study, we have investigated the cheese starter culture as a microbial community through a question: can the metabolic behaviour of a co‐culture be explained by the characterized individual organism that constituted the co‐culture? To address this question, the dairy‐origin lactic acid bacteria Lactococcus lactis subsp. cremoris, Lactococcus lactis subsp. lactis, Streptococcus thermophilus and Leuconostoc mesenteroides, commonly used in cheese starter cultures, were grown in pure and four different co‐cultures. We used a dynamic metabolic modelling approach based on the integration of the genome‐scale metabolic networks of the involved organisms to simulate the co‐cultures. The strain‐specific kinetic parameters of dynamic models were estimated using the pure culture experiments and they were subsequently applied to co‐culture models. Biomass, carbon source, lactic acid and most of the amino acid concentration profiles simulated by the co‐culture models fit closely to the experimental results and the co‐culture models explained the mechanisms behind the dynamic microbial abundance. We then applied the co‐culture models to estimate further information on the co‐cultures that could not be obtained by the experimental method used. This includes estimation of the profile of various metabolites in the co‐culture medium such as flavour compounds produced and the individual organism level metabolic exchange flux profiles, which revealed the potential metabolic interactions between organisms in the co‐cultures.
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spelling pubmed-79719412021-03-23 Dynamic co‐culture metabolic models reveal the fermentation dynamics, metabolic capacities and interplays of cheese starter cultures Özcan, Emrah Seven, Merve Şirin, Burcu Çakır, Tunahan Nikerel, Emrah Teusink, Bas Toksoy Öner, Ebru Biotechnol Bioeng ARTICLES In this study, we have investigated the cheese starter culture as a microbial community through a question: can the metabolic behaviour of a co‐culture be explained by the characterized individual organism that constituted the co‐culture? To address this question, the dairy‐origin lactic acid bacteria Lactococcus lactis subsp. cremoris, Lactococcus lactis subsp. lactis, Streptococcus thermophilus and Leuconostoc mesenteroides, commonly used in cheese starter cultures, were grown in pure and four different co‐cultures. We used a dynamic metabolic modelling approach based on the integration of the genome‐scale metabolic networks of the involved organisms to simulate the co‐cultures. The strain‐specific kinetic parameters of dynamic models were estimated using the pure culture experiments and they were subsequently applied to co‐culture models. Biomass, carbon source, lactic acid and most of the amino acid concentration profiles simulated by the co‐culture models fit closely to the experimental results and the co‐culture models explained the mechanisms behind the dynamic microbial abundance. We then applied the co‐culture models to estimate further information on the co‐cultures that could not be obtained by the experimental method used. This includes estimation of the profile of various metabolites in the co‐culture medium such as flavour compounds produced and the individual organism level metabolic exchange flux profiles, which revealed the potential metabolic interactions between organisms in the co‐cultures. John Wiley and Sons Inc. 2020-09-28 2021-01 /pmc/articles/PMC7971941/ /pubmed/32926401 http://dx.doi.org/10.1002/bit.27565 Text en © 2020 The Authors. Biotechnology and Bioengineering published by Wiley Periodicals LLC This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle ARTICLES
Özcan, Emrah
Seven, Merve
Şirin, Burcu
Çakır, Tunahan
Nikerel, Emrah
Teusink, Bas
Toksoy Öner, Ebru
Dynamic co‐culture metabolic models reveal the fermentation dynamics, metabolic capacities and interplays of cheese starter cultures
title Dynamic co‐culture metabolic models reveal the fermentation dynamics, metabolic capacities and interplays of cheese starter cultures
title_full Dynamic co‐culture metabolic models reveal the fermentation dynamics, metabolic capacities and interplays of cheese starter cultures
title_fullStr Dynamic co‐culture metabolic models reveal the fermentation dynamics, metabolic capacities and interplays of cheese starter cultures
title_full_unstemmed Dynamic co‐culture metabolic models reveal the fermentation dynamics, metabolic capacities and interplays of cheese starter cultures
title_short Dynamic co‐culture metabolic models reveal the fermentation dynamics, metabolic capacities and interplays of cheese starter cultures
title_sort dynamic co‐culture metabolic models reveal the fermentation dynamics, metabolic capacities and interplays of cheese starter cultures
topic ARTICLES
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7971941/
https://www.ncbi.nlm.nih.gov/pubmed/32926401
http://dx.doi.org/10.1002/bit.27565
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