In this study, Meyerozyma caribbica, an indigenously isolated oleaginous yeast, produced in media containing glucose a bioemulsifier that was partially characterized as a proteoglycan based on preliminary analysis. Optimization of carbon:nitrogen (C:N) ratio revealed 30:1 as the suitable ratio for enhanced production. Apart from higher emulsification activity (E: 70-80%), this molecule showed strong emulsion stability over a wide range of pH (2.0-9.0), salinity (0.05%-10%, w/v) and temperature (- 80 °C to + 50 °C). The current study emphasizes on the determination of critical media parameters for improved and stable bioemulsifier production coupled with partial characterization and identification of the molecule. Thus, a proteoglycan-based bioemulsifier with such a stable emulsifying property can serve as a versatile and potential component in food, cosmetics and pharmaceutical formulations.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1007/s00449-020-02361-1 | DOI Listing |
Food Res Int
January 2025
VTT Technical Research Centre of Finland, Tekniikantie 21, 02044 VTT Espoo, Finland. Electronic address:
Oleaginous yeasts offer a promising sustainable alternative for producing edible lipids, potentially replacing animal and unsustainable plant fats and oils. In this study, we screened 11 oleaginous yeast species for their lipid profiles and identified Apiotrichum brassicae as the most promising candidate due to its versatility across different growth media. A.
View Article and Find Full Text PDFMicrob Cell Fact
January 2025
College of Land and Environment, Shenyang Agricultural University, Shenyang, 110866, People's Republic of China.
Background: Sporobolomyces pararoseus is a well-studied oleaginous red yeast that can synthesize a variety of high value-added bioactive compounds. Biofilm is one of the important biological barriers for microbial cells to resist environmental stresses and maintain stable fermentation process. Here, the effect of acidic conditions on the biosynthesis of biofilms in S.
View Article and Find Full Text PDFAppl Environ Microbiol
December 2024
Department of Life Sciences, Chalmers University of Technology, Gothenburg, Västra Götaland County, Sweden.
Unlabelled: Bioprospecting can uncover new yeast strains and species with interesting ecological characteristics and valuable biotechnological traits, such as the capacity to convert different carbon sources from industrial side and waste streams into bioproducts. In this study, we conducted untargeted yeast bioprospecting in tropical West Africa, collecting 1,996 isolates and determining their growth in 70 different environments. While the collection contains numerous isolates with the potential to assimilate several cost-effective and sustainable carbon and nitrogen sources, we focused on characterizing the 203 strains capable of growing on lactose, the main carbon source in the abundant side stream cheese whey from dairy industries.
View Article and Find Full Text PDFBiosci Biotechnol Biochem
December 2024
Department of Applied Life Sciences, Niigata University of Pharmacy and Medical and Life Sciences, 265-1 Higashijima, Akiha-ku, Niigata, Japan.
The oleaginous yeast Lipomyces starkeyi has a high capacity for starch assimilation, but the genes involved and specific mechanisms in starch degradation remain unclear. This study aimed to identify the critical carbohydrate-active enzyme (CAZyme) genes contributing to starch degradation in L. starkeyi.
View Article and Find Full Text PDFBiotechnol Bioeng
December 2024
Department of Bioinformatics and Computational Biology, Worcester Polytechnic Institute, Worcester, Massachusetts, USA.
Extremophilic yeasts have favorable metabolic and tolerance traits for biomanufacturing- like lipid biosynthesis, flavinogenesis, and halotolerance - yet the connection between these favorable phenotypes and strain genotype is not well understood. To this end, this study compares the phenotypes and gene expression patterns of biotechnologically relevant yeasts Yarrowia lipolytica, Debaryomyces hansenii, and Debaryomyces subglobosus grown under nitrogen starvation, iron starvation, and salt stress. To analyze the large data set across species and conditions, two approaches were used: a "network-first" approach where a generalized metabolic network serves as a scaffold for mapping genes and a "cluster-first" approach where unsupervised machine learning co-expression analysis clusters genes.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!