Dataset used in research paper entitled: Riboflavin overproduction on lignocellulose hydrolysate by the engineered yeast Candida famata
Date
2024-07-15
Journal Title
Journal ISSN
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Depositor
Publisher
Oxford Academic
Abstract
Lignocellulose (dry plant biomass) is an abundant cheap inedible residue of agriculture and wood industry with great potential as a feedstock for biotechnological processes. Lignocellulosic substrates can serve as valuable resources in fermentation processes, allowing the production of a wide array of chemicals, fuels, and food additives. The main obstacle for cost-effective conversion of lignocellulosic hydrolysates to target products is poor metabolism of the major pentoses, xylose and L-arabinose, which are the second and third most abundant sugars of lignocellulose after glucose. We study the oversynthesis of riboflavin in the flavinogenic yeast Candida famata and found that all major lignocellulosic sugars, including xylose and L-arabinose, support robust growth and riboflavin synthesis in the available strains of C. famata. To further increase riboflavin production from xylose and lignocellulose hydrolysate, genes XYL1 and XYL2 coding for xylose reductase and xylitol dehydrogenase were overexpressed. The resulting strains exhibited increased riboflavin production in both shake flasks and bioreactors using diluted hydrolysate, reaching 1.5 g L-1.
Description
The .rar file contains raw data, plasmid sequences, and results obtained from HPLC analysis, which served as the basis for a related scientific publication.
Keywords
lignocellulose hydrolysate, riboflavin, riboflavin overproducers, xylose, yeast
Related publications
Dzanaeva LS, Wojdyła D, Fedorovych DV, Ruchala J, Dmytruk KV, Sibirny AA. Riboflavin overproduction on lignocellulose hydrolysate by the engineered yeast Candida famata. FEMS Yeast Res. 2024 Jan 9;24:foae020. doi: 10.1093/femsyr/foae020.
The license associated with this item
Attribution-NonCommercial-NoDerivatives 4.0 International
Research funding institutions
This work was supported by grants of National Science Centre of Poland (NCN) UMO-2021/41/B/NZ1/01224. This work was also supported by “Presidential Discretionary-Ukraine Support Grants” from Simons Foundation, Award No 1030281 and No 1290613. The work was also supported by NCN grantPreludium 22 - UMO-2023/49/N/NZ1/01040
Type
raw dataset