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- W2018350076 abstract "A worldwide effort to find renewable alternatives to fossil fuels is underway. Potential sources of renewable fuel include microalgae. Under certain conditions, these organisms produce large amounts of triacylglycerides (TAGs), lipids that can be converted to biodiesel. However, the lipid biosynthetic pathway of microalgae is not fully understood. To better understand the conditions that govern lipid production in microalgae, we employ theoretical and computational methods to understand the topology, flux and regulatory properties of the metabolic pathway involved in TAG biosynthesis in microalgae. In particular, we seek to understand the differences that lead to altered TAG production in different microalgal species. We compare a species that naturally generates large amounts of TAG under stress conditions with a species that produces comparatively much less TAG under similar conditions. Predictions from the model will be validated by comparison with in vitro and in vivo experiments. By understanding more about lipid production in microalgae we hope to guide rational genetic engineering approaches to increase oil production in these organisms. We anticipate that these studies will ultimately provide insights into lipid biosynthesis for a wide range of other organisms." @default.
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- W2018350076 date "2015-01-01" @default.
- W2018350076 modified "2023-09-28" @default.
- W2018350076 title "Numerical Modeling of Lipid Biosynthesis in Microalgae" @default.
- W2018350076 doi "https://doi.org/10.1016/j.bpj.2014.11.2574" @default.
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