Publication: Dynamic co-culture metabolic models reveal the fermentation dynamics, metabolic capacities and interplays of cheese starter cultures
dc.contributor.author | TOKSOY ÖNER, EBRU | |
dc.contributor.authors | Ozcan, Emrah; Seven, Merve; Sirin, Burcu; Cakir, Tunahan; Nikerel, Emrah; Teusink, Bas; Toksoy Oner, Ebru | |
dc.date.accessioned | 2022-03-14T09:24:45Z | |
dc.date.available | 2022-03-14T09:24:45Z | |
dc.date.issued | 2021-01 | |
dc.description.abstract | 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 bacteriaLactococcus lactissubsp.cremoris,Lactococcus lactissubsp.lactis,Streptococcus thermophilus andLeuconostoc 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. | |
dc.identifier.doi | 10.1002/bit.27565 | |
dc.identifier.eissn | 1097-0290 | |
dc.identifier.issn | 0006-3592 | |
dc.identifier.pubmed | 32926401 | |
dc.identifier.uri | https://hdl.handle.net/11424/243087 | |
dc.identifier.wos | WOS:000572989700001 | |
dc.language.iso | eng | |
dc.publisher | WILEY | |
dc.relation.ispartof | BIOTECHNOLOGY AND BIOENGINEERING | |
dc.rights | info:eu-repo/semantics/openAccess | |
dc.subject | lactic acid bacteria | |
dc.subject | starter cultures | |
dc.subject | genome-scale metabolic network | |
dc.subject | co-culture metabolic modelling | |
dc.subject | LACTIC-ACID BACTERIA | |
dc.subject | FLUX BALANCE ANALYSIS | |
dc.subject | LACTOCOCCUS-LACTIS | |
dc.subject | STREPTOCOCCUS-THERMOPHILUS | |
dc.subject | DIACETYL PRODUCTION | |
dc.subject | FOOD FERMENTATIONS | |
dc.subject | FLAVOR FORMATION | |
dc.subject | GROWTH | |
dc.subject | LEUCONOSTOC | |
dc.subject | REQUIREMENTS | |
dc.title | Dynamic co-culture metabolic models reveal the fermentation dynamics, metabolic capacities and interplays of cheese starter cultures | |
dc.type | article | |
dspace.entity.type | Publication | |
local.avesis.id | bc077aee-8b34-4bf6-828e-384b2fe3ab9b | |
local.import.package | SS16 | |
local.indexed.at | WOS | |
local.indexed.at | SCOPUS | |
local.indexed.at | PUBMED | |
local.journal.numberofpages | 15 | |
local.journal.quartile | Q2 | |
oaire.citation.endPage | 237 | |
oaire.citation.issue | 1 | |
oaire.citation.startPage | 223 | |
oaire.citation.title | BIOTECHNOLOGY AND BIOENGINEERING | |
oaire.citation.volume | 118 | |
relation.isAuthorOfPublication | 6118e9e4-a58e-429b-bbec-4f73a3089a2b | |
relation.isAuthorOfPublication.latestForDiscovery | 6118e9e4-a58e-429b-bbec-4f73a3089a2b |
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