Model-driven engineering ofYarrowia lipolyticafor improved microbial oil production DOI Creative Commons
Zeynep Efsun Duman‐Özdamar, Mattijs K. Julsing, Vítor A. P. Martins dos Santos

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: July 31, 2024

Summary Extensive usage of plant-based oils, especially palm oil, has led to environmental and social issues, such as deforestation loss biodiversity, thus sustainable alternatives are required. Microbial from Yarrowia lipolytica , offer a promising solution due their similar composition low carbon footprint, ability utilize low-cost substrates. In this study, we employed the Design-Build-Test-Learn (DBTL) approach enhance lipid production in Y. . We systematically evaluated predictions genome-scale metabolic model identify overcome bottlenecks biosynthesis. tested effect predicted medium supplements genetic intervention targets, including overexpression ATP-citrate lyase ( ACL ), acetyl-CoA carboxylase ACC threonine synthase TS diacylglycerol acyltransferase( DGA1 deletion citrate exporter gene CEX1 ) disruption β-oxidation pathway MFE1 ). Combining Δmfe_Δcex background achieved remarkable 200% increase content (56 % w/w) 230% yield on glycerol. These findings underscore potential an efficient microbial cell factory for fatty acid production. Our study advances understanding metabolism demonstrates viable developing economically feasible oil. Graphical Abstract followed biosynthesis DBTL intertwined with addressed bottlenecks, investigated interventions content, ultimately defined strain design strategy.

Language: Английский

Model-driven engineering of Cutaneotrichosporon oleaginosus ATCC 20509 for improved microbial oil production DOI Creative Commons
Zeynep Efsun Duman‐Özdamar, Mattijs K. Julsing,

Janine A. C. Verbokkem

et al.

Bioresource Technology, Journal Year: 2025, Volume and Issue: 421, P. 132142 - 132142

Published: Feb. 1, 2025

Language: Английский

Citations

1
Machine learning for the advancement of genome-scale metabolic modeling DOI
Pritam Kundu, Satyajit Beura, Suman Mondal

et al.

Biotechnology Advances, Journal Year: 2024, Volume and Issue: 74, P. 108400 - 108400

Published: June 28, 2024

Language: Английский

Citations

7
Computer-assisted, multi-level optimization of malonyl-CoA availability in Pseudomonas putida DOI
Christos Batianis, Rik P. van Rosmalen, Pedro Moñino Fernández

et al.

Metabolic Engineering, Journal Year: 2025, Volume and Issue: unknown

Published: March 1, 2025

Language: Английский

Citations

0
Model‐Driven Engineering of Yarrowia lipolytica for Improved Microbial Oil Production DOI Creative Commons
Zeynep Efsun Duman‐Özdamar, Mattijs K. Julsing, Vitor A. P. Martins dos Santos

et al.

Microbial Biotechnology, Journal Year: 2025, Volume and Issue: 18(3)

Published: March 1, 2025

Extensive usage of plant-based oils, especially palm oil, has led to environmental and social issues, such as deforestation loss biodiversity, thus sustainable alternatives are required. Microbial from Yarrowia lipolytica, offer a promising solution because their similar composition low carbon footprint ability utilise low-cost substrates. In this study, we employed the Design-Build-Test-Learn (DBTL) approach enhance lipid production in Y. lipolytica. We systematically evaluated predictions genome-scale metabolic model identify overcome bottlenecks biosynthesis. tested effect predicted medium supplements (glutamate, leucine, methionine threonine) genetic intervention targets, including overexpression ATP-citrate lyase (ACL), acetyl-CoA carboxylase (ACC), threonine synthase (TS), diacylglycerol acyltransferase(DGA1), deletion citrate exporter gene (CEX1) disruption β-oxidation pathway (MFE1). This work revealed critical roles ACC, ACL, TS DGA1 interaction these genes with elevated intracellular availability Combining Δmfe_Δcex background achieved remarkable 200% increase content (56% w/w) 230% yield on glycerol. These findings underscore potential lipolytica an efficient microbial cell factory for fatty acid production. Our study advances understanding metabolism demonstrates viable developing economically feasible oil.

Language: Английский

Citations

0
Recent developments of oleaginous yeasts toward sustainable biomanufacturing DOI Creative Commons
Paul Adamczyk, Tian Jiang,

Karuna Jetty

et al.

Current Opinion in Biotechnology, Journal Year: 2025, Volume and Issue: 93, P. 103297 - 103297

Published: March 31, 2025

Oleaginous yeast are remarkably versatile organisms, distinguished by their natural capacities to accumulate high levels of neutral lipids and broad substrate range. With recent growing interests in engineering non-model organisms as superior biomanufacturing platforms, oleaginous yeasts have emerged promising chassis for oleochemicals, terpenoids, organic acids, other valuable products. Advancement systems biology along with genetic tool development significantly expanded our understanding the metabolism these species enabled efforts produce biofuels bioproducts from diverse feedstocks. This review examines latest technical advances research toward sustainable biomanufacturing. We cover developments biology-enabled understanding, tools, feedstock utilization, strain approaches production various chemicals.

Language: Английский

Citations

0
Model-driven engineering ofYarrowia lipolyticafor improved microbial oil production DOI Creative Commons
Zeynep Efsun Duman‐Özdamar, Mattijs K. Julsing, Vítor A. P. Martins dos Santos

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: July 31, 2024

Summary Extensive usage of plant-based oils, especially palm oil, has led to environmental and social issues, such as deforestation loss biodiversity, thus sustainable alternatives are required. Microbial from Yarrowia lipolytica , offer a promising solution due their similar composition low carbon footprint, ability utilize low-cost substrates. In this study, we employed the Design-Build-Test-Learn (DBTL) approach enhance lipid production in Y. . We systematically evaluated predictions genome-scale metabolic model identify overcome bottlenecks biosynthesis. tested effect predicted medium supplements genetic intervention targets, including overexpression ATP-citrate lyase ( ACL ), acetyl-CoA carboxylase ACC threonine synthase TS diacylglycerol acyltransferase( DGA1 deletion citrate exporter gene CEX1 ) disruption β-oxidation pathway MFE1 ). Combining Δmfe_Δcex background achieved remarkable 200% increase content (56 % w/w) 230% yield on glycerol. These findings underscore potential an efficient microbial cell factory for fatty acid production. Our study advances understanding metabolism demonstrates viable developing economically feasible oil. Graphical Abstract followed biosynthesis DBTL intertwined with addressed bottlenecks, investigated interventions content, ultimately defined strain design strategy.

Language: Английский

Citations

0