scholarly journals Development of Rhodotorula mucilaginosa strain via random mutagenesis for improved lipid production

2019 ◽  
Author(s):  
Wong, S. H. ◽  
Vincent, M.
Keyword(s):  
Lipid Production ◽  
Random Mutagenesis ◽  
Rhodotorula Mucilaginosa

scholarly journals Optimization of lipid production by the oleaginous yeast Lipomyces starkeyi by random mutagenesis coupled to cerulenin screening

AMB Express ◽  
2012 ◽  
Vol 2 (1) ◽  
pp. 64 ◽  
Author(s):  
Eulalia Tapia V ◽  
Andréia Anschau ◽  
Alessandro LV Coradini ◽  
Telma T Franco ◽  
Ana Deckmann
Keyword(s):  
Oleaginous Yeast ◽  
Lipid Production ◽  
Random Mutagenesis ◽  
Lipomyces Starkeyi

scholarly journals Utilization of Wheat Bran Acid Hydrolysate by Rhodotorula mucilaginosa Y-MG1 for Microbial Lipid Production as Feedstock for Biodiesel Synthesis

2019 ◽  
Vol 2019 ◽  
pp. 1-11 ◽  
Author(s):  
Ines Ayadi ◽  
Hafedh Belghith ◽  
Ali Gargouri ◽  
Mohamed Guerfali
Keyword(s):  
Fatty Acid Composition ◽  
Fatty Acid ◽  
Acid Composition ◽  
Wheat Bran ◽  
Lipid Production ◽  
Raw Material ◽  
Biodiesel Production ◽  
Rhodotorula Mucilaginosa ◽  
Wide Range ◽  
Biodiesel Synthesis

The lignocellulosic hydrolysate was used as the fermentation feedstock of Rhodotorula mucilaginosa Y-MG1 for the production of microbial lipids as the potential raw material for biodiesel synthesis. On synthetic media and under nitrogen-limiting condition, the Y-MG1 strain produces 2.13 g/L of lipids corresponding to 32.7% of lipid content. This strain was able to assimilate a wide range of substrates, especially C5 and C6 sugars as well as glycerol and sucrose. Fatty acid composition shows a divergence depending on the nature of used carbon source with a predominance of oleic acid or linoleic acid. An effective hydrolysis process, based on diluted acid treatment, was established for providing the maximum of fermentable sugars from different characterized lignocellulosic wastes. The highest yield of reducing sugars (56.6 g/L) could be achieved when wheat bran was used as the raw material. Hydrolysate detoxification step was not required in this study since the Y-MG1 strain was shown to grow and produce lipids in the presence of inhibitors and without the addition of external elements. Operating by controlled fed-batch fermentation yielded a dry biomass and oil yield of up to 11 g/L and 38.7% (w/w), respectively. The relative fatty acid composition showed the presence of increased levels of monounsaturated (66.8%) and saturated (23.4%) fatty acids in lipids of Y-MG1 grown on wheat bran. The predictive determination of biodiesel properties suggests that this oil may effectively be used for biodiesel production.

scholarly journals Operating Mode Effect on Lipids Production from Rhodotorula mucilaginosa: Modelling and Simulation Trends

2021 ◽  
Vol 2049 (1) ◽  
pp. 012078
Author(s):  
L Cardozo ◽  
K Duran ◽  
G Gelves
Keyword(s):  
Lipid Accumulation ◽  
Fossil Fuels ◽  
Lipid Production ◽  
Operating Mode ◽  
Rhodotorula Mucilaginosa ◽  
Continuous Mode ◽  
Batch Mode ◽  
Operating Modes ◽  
A Value ◽  
Yeast Oil

Abstract A sustainable alternative for fossil fuels substitution is the production of biodiesel from natural lipids. Mainly, such oil used is in the form of triglycerides and is characterized by being potentially renewable, non-toxic, and biodegradable, thus making it a sustainable product. For producing such biofuel, yeast oil is one of the most viable and currently known options, obtaining theoretically optimal results. In this article, kinetic parameters from the oleaginous yeast Rhodotorula mucilaginosa will simulate lipid accumulation capacity based on different bioreactor operating modes. Likewise, The Matlab software is used to simulate batch and continuous operating modes to establish comparisons between the productions obtained and their respective yields. The results obtained for the batch mode were: 14 g/L for the growth of biomass and an estimate of 0.22 g/g for lipid production. Likewise, for the continuous mode, its results were: 19 g/L for biomass growth and a value of 0.30 g/g in lipid production. The simulated results in continuous mode would demonstrate the effectiveness of its implementation since a more significant lipid accumulation is reached.

scholarly journals Harnessing the Power of Mutagenesis and Adaptive Laboratory Evolution for High Lipid Production by Oleaginous Microalgae and Yeasts

2020 ◽  
Vol 12 (12) ◽  
pp. 5125
Author(s):  
Neha Arora ◽  
Hong-Wei Yen ◽  
George P. Philippidis
Keyword(s):  
Genetic Engineering ◽  
Lipid Production ◽  
Random Mutagenesis ◽  
Strain Improvement ◽  
Production Costs ◽  
Screening Methods ◽  
Scale Production ◽  
Adaptive Laboratory Evolution ◽  
Laboratory Evolution ◽  
Oleaginous Microalgae

Oleaginous microalgae and yeasts represent promising candidates for large-scale production of lipids, which can be utilized for production of drop-in biofuels, nutraceuticals, pigments, and cosmetics. However, low lipid productivity and costly downstream processing continue to hamper the commercial deployment of oleaginous microorganisms. Strain improvement can play an essential role in the development of such industrial microorganisms by increasing lipid production and hence reducing production costs. The main means of strain improvement are random mutagenesis, adaptive laboratory evolution (ALE), and rational genetic engineering. Among these, random mutagenesis and ALE are straight forward, low-cost, and do not require thorough knowledge of the microorganism’s genetic composition. This paper reviews available mutagenesis and ALE techniques and screening methods to effectively select for oleaginous microalgae and yeasts with enhanced lipid yield and understand the alterations caused to metabolic pathways, which could subsequently serve as the basis for further targeted genetic engineering.

Lipid Production by Pure and Mixed Cultures of Chlorella pyrenoidosa and Rhodotorula mucilaginosa Isolated in Nuevo Leon, Mexico

2014 ◽  
Vol 175 (1) ◽  
pp. 354-359 ◽  
Author(s):  
Raúl Reyna-Martínez ◽  
Ricardo Gomez-Flores ◽  
Ulrico J. López-Chuken ◽  
Rosario González-González ◽  
Sergio Fernández-Delgadillo ◽  
...  
Keyword(s):  
Lipid Production ◽  
Chlorella Pyrenoidosa ◽  
Mixed Cultures ◽  
Rhodotorula Mucilaginosa ◽  
Nuevo Leon ◽  
Nuevo León

Directed Evolution of P450 Fatty Acid Decarboxylases via High-Throughput Screening Towards Improved Catalytic Activity

2019 ◽  
Author(s):  
Huifang Xu ◽  
Weinan Liang ◽  
Linlin Ning ◽  
Yuanyuan Jiang ◽  
Wenxia Yang ◽  
...  
Keyword(s):  
Catalytic Activity ◽  
Fatty Acid ◽  
Directed Evolution ◽  
High Throughput ◽  
High Throughput Screening ◽  
Colorimetric Detection ◽  
Screening Method ◽  
Random Mutagenesis ◽  
Direct Production ◽  
Consumption Activity

P450 fatty acid decarboxylases (FADCs) have recently been attracting considerable attention owing to their one-step direct production of industrially important 1-alkenes from biologically abundant feedstock free fatty acids under mild conditions. However, attempts to improve the catalytic activity of FADCs have met with little success. Protein engineering has been limited to selected residues and small mutant libraries due to lack of an effective high-throughput screening (HTS) method. Here, we devise a catalase-deficient <i>Escherichia coli</i> host strain and report an HTS approach based on colorimetric detection of H<sub>2</sub>O<sub>2</sub>-consumption activity of FADCs. Directed evolution enabled by this method has led to effective identification for the first time of improved FADC variants for medium-chain 1-alkene production from both DNA shuffling and random mutagenesis libraries. Advantageously, this screening method can be extended to other enzymes that stoichiometrically utilize H<sub>2</sub>O<sub>2</sub> as co-substrate.

Untangling the Metabolic Reprogramming in Brain Cancer: Discovering Key Molecular Players Using Mass Spectrometry

2019 ◽  
Vol 19 (17) ◽  
pp. 1521-1534 ◽  
Author(s):  
Anatoly Sorokin ◽  
Vsevolod Shurkhay ◽  
Stanislav Pekov ◽  
Evgeny Zhvansky ◽  
Daniil Ivanov ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Brain Cancer ◽  
De Novo ◽  
Aerobic Glycolysis ◽  
Lipid Production ◽  
Dietary Fatty Acids ◽  
Metabolic Reprogramming ◽  
Detection Methods ◽  
Malignant Cells ◽  
Proliferating Cells

Cells metabolism alteration is the new hallmark of cancer, as well as an important method for carcinogenesis investigation. It is well known that the malignant cells switch to aerobic glycolysis pathway occurring also in healthy proliferating cells. Recently, it was shown that in malignant cells de novo synthesis of the intracellular fatty acid replaces dietary fatty acids which change the lipid composition of cancer cells noticeably. These alterations in energy metabolism and structural lipid production explain the high proliferation rate of malignant tissues. However, metabolic reprogramming affects not only lipid metabolism but many of the metabolic pathways in the cell. 2-hydroxyglutarate was considered as cancer cell biomarker and its presence is associated with oxidative stress influencing the mitochondria functions. Among the variety of metabolite detection methods, mass spectrometry stands out as the most effective method for simultaneous identification and quantification of the metabolites. As the metabolic reprogramming is tightly connected with epigenetics and signaling modifications, the evaluation of metabolite alterations in cells is a promising approach to investigate the carcinogenesis which is necessary for improving current diagnostic capabilities and therapeutic capabilities. In this paper, we overview recent studies on metabolic alteration and oncometabolites, especially concerning brain cancer and mass spectrometry approaches which are now in use for the investigation of the metabolic pathway.

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