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4 results on '"lipid production"'

1. Enhancement of lipid productivity from a promising oleaginous fungus Aspergillus sp. strain EM2018 for biodiesel production: Optimization of culture conditions and identification

Author

E. M. Abdellah, T. H. Ali, D. A.M. Abdou, N. M. Hassanein, M. Fadel, A. A. Karam El-Din, and D. H. El-Ghonemy

Subjects
aspergillus sp. strain em2018, biodiesel, gc analysis, lipid production, optimization, Nutrition. Foods and food supply, TX341-641
Abstract

Oleaginous fungi have recently gained increasing attention among different microorganisms due to their ability for lipid production for the preparation of biofuel. In the present study, a locally isolated fungus E45, identified genetically as Aspergillus sp. strain EM2018, was found to produce 25.2% of the total lipids content of its dry cell weight (DCW). Optimization of culture conditions was performed and lipid accumula­tion increased by about 2.4 fold (from 25.2% to 60.1% of DCW) when the fungus was grown for seven days in the potato dextrose (50 g/L) liquid medium at pH 5.0, incubation temperature at 30 ºC and inoculum size of 2 × 106 spore/mL. Supplementation of the medium with yeast extract and NaNO3 at a concentration of 0.05% as organic and inorganic nitrogen sources, respectively, increased lipid production (53.3% lipid/dry biomass). Gas chromatography analysis of fungal lipids revealed the presence of saturated (mainly palmitic acid C16:0 (33%) and lignoceric acid C24:0 (15%)) and unsaturated fatty acids in different proportions (mainly linoleic acid C18:2 (24.4%), oleica cid C18:1 (14%) and arachidonic C20:4 (7.4%). These findings suggest this new oleaginous fungus as a promising feedstock for various industrial applications and for the preparation of biodiesel.

Published
2020
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2. Correlation between lipid and carotenoid synthesis and photosynthetic capacity in Haematococcus pluvialis grown under high light and nitrogen deprivation stress

Author

C. Liang, Y. Zhai, D. Xu, N. Ye, X. Zhang, Y. Wang, W. Zhang, and J. Yu

Subjects
carotenoid, haematococcus pluvialis, lipid production, photosynthetic capacity, stress conditions, Nutrition. Foods and food supply, TX341-641
Abstract

Recently, H. pluvialis has been demonstrated to have significant potential for biofuel production. To explore the correlation between total lipid content and other physiological parameters under s tress conditions, the responses of H. pluvialis to high light intensity (HL), nitrogen deprivation (-N), and high light intensity with nitrogen deprivation (HL-N) were investigated. The total lipid content in the control cells was 12.01% dw, whereas that of the cells exposed to HL, -N, and HL-N conditions was 56.92, 46.71, and 46.87% dw, respectively. The fatty acid profile was similar under all conditions, with the main components including palmitic acid, linoleic acid, and linolenic acid. A good correlation was found between individual carotenoid and total lipids, regardless of culture conditions. P hotosynthetic parameters and lipid content were also found to be well-correlated.

Published
2015
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3. Prediction of the dynamic behavior of photoautotrophic growth of an oleaginous alga using a multiscale metabolic model

Author

Tibocha Bonilla, Juan David, Godoy Silva, Ruben Dario, and Zengler, Karsten

Subjects
Oleaginous phototrophs, Constraint-based metabolic modeling, Central carbon metabolism, Fotótrofos oleaginosos, Lipid production, Producción de lípidos, Modelado metabólico basado en restricciones, Metabolismo central del carbono
Abstract

Background: The maximization of lipid productivity in microalgae is crucial for the biofuel industry and it can be achieved by manipulating their metabolism. However, little efforts have been made to apply metabolic models in a dynamic framework to predict possible outcomes to scenarios observed at an industrial scale. Here we present a dynamic framework for the simulation of large-scale photobioreactors. The framework was generated by merging together the genome-scale metabolic model of Chlorella vulgaris (iCZ843) with reactor-scale parameters, thus yielding a multiscale model. Results: We used a multiscale model to predict growth trends under different light intensities and nitrogen concentrations. Simulations of lipid accumulation quantified the trade-off between growth and lipid biosynthesis under nitrogen limitation. Moreover, our modeling approach quantitatively predicted the dependence of microalgal metabolism on light intensity and circadian oscillations. Finally, we used our model to design a reactor irradiance profile that maximized lipid accumulation, thus achieving a lipid productivity increase of 46% at a constant intensity of 966 μE m^(-2) s^(-1). Conclusions: Here we generated a dynamic framework that combines the modeling of phenomena at both the genome and reactor scale. This multiscale model was employed to predict the sensitivity of growth and composition variation of C. vulgaris on light and nitrogen levels, as well as to find a suitable irradiance profile that maximizes lipid productivity. Our modeling framework elucidated how metabolism and external factors can be combined to predict optimized parameters for industrial applications. Maestría

Published
2019

4. Comprehensive analysis of a Metabolic Model for lipid production in Rhodosporidium toruloides

Author

Claudio Enrique Voget, Fabricio Garelli, María Teresita Castañeda, Hernán De Battista, and Sebastián Nuñez

Subjects
0106 biological sciences, 0301 basic medicine, Glutamine, Biotecnología Agropecuaria, Rhodosporidium toruloides, Glutamic Acid, Bioengineering, INGENIERÍAS Y TECNOLOGÍAS, Biolipid, Computational biology, Models, Biological, 01 natural sciences, Applied Microbiology and Biotechnology, 03 medical and health sciences, Adenosine Triphosphate, 010608 biotechnology, Metabolic modeling, metabolic modelling, Ingeniería Eléctrica, Ingeniería Electrónica e Ingeniería de la Información, METABOLIC MODELING, Flux distribution, biology, Chemistry, Basidiomycota, Flux Balance Analysis, lipid production, General Medicine, Sistemas de Automatización y Control, biology.organism_classification, Lipids, Carbon, Metabolic Flux Analysis, Flux balance analysis, 030104 developmental biology, Metabolic Model, Flux (metabolism), Biotechnology
Abstract

The yeast Rhodosporidium toruloides has been extensively studied for its application in biolipid production. The knowledge of its metabolism capabilities and the application of constraint-based flux analysis methodology provide useful information for process prediction and optimization. The accuracy of the resulting predictions is highly dependent on metabolic models. A metabolic reconstruction for R. toruloides metabolism has been recently published. On the basis of this model, we developed a curated version that unblocks the central nitrogen metabolism and, in addition, completes charge and mass balances in some reactions neglected in the former model. Then, a comprehensive analysis of network capability was performed with the curated model and compared with the published metabolic reconstruction. The flux distribution obtained by lipid optimization with flux balance analysis was able to replicate the internal biochemical changes that lead to lipogenesis in oleaginous microorganisms. These results motivate the development of a genome-scale model for complete elucidation of R. toruloides metabolism. Fil: Castañeda, María Teresita. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Centro de Investigación y Desarrollo en Fermentaciones Industriales. Universidad Nacional de La Plata. Facultad de Ciencias Exactas. Centro de Investigación y Desarrollo en Fermentaciones Industriales; Argentina Fil: Nuñez, Sebastián. Universidad Nacional de La Plata. Facultad de Ingeniería. Departamento de Electrotecnia. Laboratorio de Electrónica Industrial, Control e Instrumentación; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina Fil: Garelli, Fabricio. Universidad Nacional de La Plata. Facultad de Ingeniería. Departamento de Electrotecnia. Laboratorio de Electrónica Industrial, Control e Instrumentación; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina Fil: Voget, Claudio Enrique. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Centro de Investigación y Desarrollo en Fermentaciones Industriales. Universidad Nacional de La Plata. Facultad de Ciencias Exactas. Centro de Investigación y Desarrollo en Fermentaciones Industriales; Argentina Fil: de Battista, Hernán. Universidad Nacional de La Plata. Facultad de Ingeniería. Departamento de Electrotecnia. Laboratorio de Electrónica Industrial, Control e Instrumentación; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina

Published
2018

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