Systems biology approach for enhancing limonene yield by re-engineering Escherichia coli.
Journal
NPJ systems biology and applications
ISSN: 2056-7189
Titre abrégé: NPJ Syst Biol Appl
Pays: England
ID NLM: 101677786
Informations de publication
Date de publication:
01 Oct 2024
01 Oct 2024
Historique:
received:
17
04
2024
accepted:
19
09
2024
medline:
2
10
2024
pubmed:
2
10
2024
entrez:
1
10
2024
Statut:
epublish
Résumé
Engineered microorganisms have emerged as viable alternatives for limonene production. However, issues such as low enzyme abundance or activities, and regulatory feedback/forward inhibition may reduce yields. To understand the underlying metabolism, we adopted a systems biology approach for an engineered limonene-producing Escherichia coli strain K-12 MG1655. Firstly, we generated time-series metabolomics data and, secondly, developed a dynamic model based on enzyme dynamics to track the native metabolic networks and the engineered mevalonate pathway. After several iterations of model fitting with experimental profiles, which also included
Identifiants
pubmed: 39353984
doi: 10.1038/s41540-024-00440-7
pii: 10.1038/s41540-024-00440-7
doi:
Substances chimiques
Limonene
9MC3I34447
Terpenes
0
Aldehyde Dehydrogenase
EC 1.2.1.3
Mevalonic Acid
S5UOB36OCZ
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
109Subventions
Organisme : National Research Foundation Singapore (National Research Foundation-Prime Minister's office, Republic of Singapore)
ID : NRF2019-THE001-0007
Organisme : National Research Foundation Singapore (National Research Foundation-Prime Minister's office, Republic of Singapore)
ID : NRF2019-THE001-0007
Organisme : National Research Foundation Singapore (National Research Foundation-Prime Minister's office, Republic of Singapore)
ID : NRF2019-THE001-0007
Organisme : National Research Foundation Singapore (National Research Foundation-Prime Minister's office, Republic of Singapore)
ID : NRF2019-THE001-0007
Organisme : National Research Foundation Singapore (National Research Foundation-Prime Minister's office, Republic of Singapore)
ID : NRF2019-THE001-0007
Informations de copyright
© 2024. The Author(s).
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