scholarly journals Yeast Systems Biology: Model Organism and Cell Factory

2019 ◽  
Vol 14 (9) ◽  
pp. 1800421 ◽  
Author(s):  
Jens Nielsen
Keyword(s):  
Systems Biology ◽  
Model Organism ◽  
Cell Factory

scholarly journals Big data in yeast systems biology

2019 ◽  
Vol 19 (7) ◽  
Author(s):  
Rosemary Yu ◽  
Jens Nielsen
Keyword(s):  
Gene Expression ◽  
Big Data ◽  
Systems Biology ◽  
Model Organism ◽  
Cell Factory ◽  
Yeast Saccharomyces Cerevisiae ◽  
Complex Interactions ◽  
Biological Insight ◽  
Big Data Technologies ◽  
Gene Expression Dynamics

ABSTRACT Systems biology uses computational and mathematical modeling to study complex interactions in a biological system. The yeast Saccharomyces cerevisiae, which has served as both an important model organism and cell factory, has pioneered both the early development of such models and modeling concepts, and the more recent integration of multi-omics big data in these models to elucidate fundamental principles of biology. Here, we review the advancement of big data technologies to gain biological insight in three aspects of yeast systems biology: gene expression dynamics, cellular metabolism and the regulation network between gene expression and metabolism. The role of big data and complementary modeling approaches, including the expansion of genome-scale metabolic models and machine learning methodologies, are discussed as key drivers in the rapid advancement of yeast systems biology.

scholarly journals Computational Analysis of Dynamic Light Exposure of Unicellular Algal Cells in a Flat-Panel Photobioreactor to Support Light-Induced CO2 Bioprocess Development

2021 ◽  
Vol 12 ◽  
Author(s):  
Nicolò S. Vasile ◽  
Alessandro Cordara ◽  
Giulia Usai ◽  
Angela Re
Keyword(s):  
Light Transmission ◽  
Light Exposure ◽  
Model Organism ◽  
Cell Factory ◽  
Bioprocess Development ◽  
Cultivation Conditions ◽  
Flat Panel ◽  
Modeling Framework ◽  
Cell Factories ◽  
Cell Trajectories

Cyanobacterial cell factories trace a vibrant pathway to climate change neutrality and sustainable development owing to their ability to turn carbon dioxide-rich waste into a broad portfolio of renewable compounds, which are deemed valuable in green chemistry cross-sectorial applications. Cell factory design requires to define the optimal operational and cultivation conditions. The paramount parameter in biomass cultivation in photobioreactors is the light intensity since it impacts cellular physiology and productivity. Our modeling framework provides a basis for the predictive control of light-limited, light-saturated, and light-inhibited growth of the Synechocystis sp. PCC 6803 model organism in a flat-panel photobioreactor. The model here presented couples computational fluid dynamics, light transmission, kinetic modeling, and the reconstruction of single cell trajectories in differently irradiated areas of the photobioreactor to relate key physiological parameters to the multi-faceted processes occurring in the cultivation environment. Furthermore, our analysis highlights the need for properly constraining the model with decisive qualitative and quantitative data related to light calibration and light measurements both at the inlet and outlet of the photobioreactor in order to boost the accuracy and extrapolation capabilities of the model.

scholarly journals A consensus S. cerevisiae metabolic model Yeast8 and its ecosystem for comprehensively probing cellular metabolism

2019 ◽  
Vol 10 (1) ◽  
Author(s):  
Hongzhong Lu ◽  
Feiran Li ◽  
Benjamín J. Sánchez ◽  
Zhengming Zhu ◽  
Gang Li ◽  
...  
Keyword(s):  
Model Organism ◽  
Metabolic Model ◽  
Phenotypic Traits ◽  
Cell Factory ◽  
Scale Level ◽  
Single Nucleotide ◽  
Multi Scale ◽  
Yeast Strains ◽  
Single Nucleotide Variations ◽  
Genome Scale

Abstract Genome-scale metabolic models (GEMs) represent extensive knowledgebases that provide a platform for model simulations and integrative analysis of omics data. This study introduces Yeast8 and an associated ecosystem of models that represent a comprehensive computational resource for performing simulations of the metabolism of Saccharomyces cerevisiae––an important model organism and widely used cell-factory. Yeast8 tracks community development with version control, setting a standard for how GEMs can be continuously updated in a simple and reproducible way. We use Yeast8 to develop the derived models panYeast8 and coreYeast8, which in turn enable the reconstruction of GEMs for 1,011 different yeast strains. Through integration with enzyme constraints (ecYeast8) and protein 3D structures (proYeast8DB), Yeast8 further facilitates the exploration of yeast metabolism at a multi-scale level, enabling prediction of how single nucleotide variations translate to phenotypic traits.

scholarly journals Studies of the Production of Fungal Polyketides in Aspergillus nidulans by Using Systems Biology Tools

2009 ◽  
Vol 75 (7) ◽  
pp. 2212-2220 ◽  
Author(s):  
Gianni Panagiotou ◽  
Mikael R. Andersen ◽  
Thomas Grotkjaer ◽  
Torsten B. Regueira ◽  
Jens Nielsen ◽  
...  
Keyword(s):  
Systems Biology ◽  
Metabolic Flux ◽  
Model Organism ◽  
Interaction Model ◽  
Chemical Diversity ◽  
Recombinant Strains ◽  
Production Platform ◽  
Depth Analysis ◽  
Penicillium Griseofulvum ◽  
High Yields

ABSTRACT Many filamentous fungi produce polyketide molecules with great significance as human pharmaceuticals; these molecules include the cholesterol-lowering compound lovastatin, which was originally isolated from Aspergillus terreus. The chemical diversity and potential uses of these compounds are virtually unlimited, and it is thus of great interest to develop a well-described microbial production platform for polyketides. Using genetic engineering tools available for the model organism Aspergillus nidulans, we constructed two recombinant strains, one expressing the Penicillium griseofulvum 6-methylsalicylic acid (6-MSA) synthase gene and one expressing the 6-MSA synthase gene and overexpressing the native xylulose-5-phosphate phosphoketolase gene (xpkA) for increasing the pool of polyketide precursor levels. The physiology of the recombinant strains and that of a reference wild-type strain were characterized on glucose, xylose, glycerol, and ethanol media in controlled bioreactors. Glucose was found to be the preferred carbon source for 6-MSA production, and 6-MSA concentrations up to 455 mg/liter were obtained for the recombinant strain harboring the 6-MSA gene. Our findings indicate that overexpression of xpkA does not directly improve 6-MSA production on glucose, but it is possible, if the metabolic flux through the lower part of glycolysis is reduced, to obtain quite high yields for conversion of sugar to 6-MSA. Systems biology tools were employed for in-depth analysis of the metabolic processes. Transcriptome analysis of 6-MSA-producing strains grown on glucose and xylose in the presence and absence of xpkA overexpression, combined with flux and physiology data, enabled us to propose an xpkA-msaS interaction model describing the competition between biomass formation and 6-MSA production for the available acetyl coenzyme A.

scholarly journals Leveraging budding yeast Saccharomyces cerevisiae for discovering aging modulation substances for functional food

2019 ◽  
Vol 9 (5) ◽  
pp. 297
Author(s):  
Shaoyu Wang
Keyword(s):  
Saccharomyces Cerevisiae ◽  
Bioactive Compounds ◽  
Functional Food ◽  
Budding Yeast ◽  
Model Organism ◽  
Cellular Systems ◽  
Cell Factory ◽  
Compression Of Morbidity ◽  
Bioactive Substances ◽  
Yeast Saccharomyces Cerevisiae

Background: Discovery of bioactive substances contained in functional food and the mechanism of their aging modulation are imperative steps in developing better, potent and safer functional food for promoting health and compression of morbidity in the aging population.  Budding yeast (Saccharomyces cerevisiae) is invaluable model organism for aging modulation and bioactive compounds discovery. In this paper we have conceptualised a framework for achieving such aim. This framework consists of four components: discovering targets for aging modulation, discovering and validating caloric restriction mimetics, acting as cellular systems for screening natural products or compounds for aging modulation and being a biological factory for producing bioactive compounds according to the roles the yeast systems play. It have been argued that the component of being a biological factory for producing bioactive compounds has much underexplored which also present an opportunity for new active substance discovery and validation for health promotion in functional food industry.Keywords: Aging modulation, budding yeast, functional food, bioactive substances, cell factory

scholarly journals Aspergillus nidulans: A Potential Resource of the Production of the Native and Heterologous Enzymes for Industrial Applications

2020 ◽  
Vol 2020 ◽  
pp. 1-11
Author(s):  
Amit Kumar
Keyword(s):  
Aspergillus Nidulans ◽  
Low Cost ◽  
Model Organism ◽  
Alcohol Oxidase ◽  
Industrial Applications ◽  
Genetically Engineered ◽  
Cell Factory ◽  
Industrial Enzymes ◽  
Fungal Cell ◽  
Potential Resource

Aspergillus nidulans is a filamentous fungus that is a potential resource for industrial enzymes. It is a versatile fungal cell factory that can synthesize various industrial enzymes such as cellulases, β-glucosidases, hemicellulases, laccases, lipases, proteases, β-galactosidases, tannases, keratinase, cutinases, and aryl alcohol oxidase. A. nidulans has shown the potential to utilize low-cost substrates such as wheat bran, rice straw, sugarcane bagasse, rice bran, coir pith, black gram residue, and chicken feathers to produce enzymes cost-effectively. A. nidulans has also been known as a model organism for the production of heterologous enzymes. Several studies reported genetically engineered strains of A. nidulans for the production of different enzymes. Native as well as heterologous enzymes of A. nidulans have been employed for various industrial processes.

scholarly journals EcoCyc: fusing model organism databases with systems biology

2012 ◽  
Vol 41 (D1) ◽  
pp. D605-D612 ◽  
Author(s):  
Ingrid M. Keseler ◽  
Amanda Mackie ◽  
Martin Peralta-Gil ◽  
Alberto Santos-Zavaleta ◽  
Socorro Gama-Castro ◽  
...  
Keyword(s):  
Systems Biology ◽  
Model Organism ◽  
Model Organism Databases

scholarly journals Industrial Systems Biology of Saccharomyces cerevisiae Enables Novel Succinic Acid Cell Factory

PLoS ONE ◽  
2013 ◽  
Vol 8 (1) ◽  
pp. e54144 ◽  
Author(s):  
José Manuel Otero ◽  
Donatella Cimini ◽  
Kiran R. Patil ◽  
Simon G. Poulsen ◽  
Lisbeth Olsson ◽  
...  
Keyword(s):  
Saccharomyces Cerevisiae ◽  
Systems Biology ◽  
Succinic Acid ◽  
Cell Factory ◽  
Industrial Systems

scholarly journals Genome sequencing of the neotype strain CBS 554.65 reveals the MAT1-2 locus of Aspergillus niger

2021 ◽  
Author(s):  
Valeria Ellena ◽  
Sjoerd J. Seekles ◽  
Arthur F.J. Ram ◽  
Matthias G. Steiger
Keyword(s):  
Aspergillus Niger ◽  
Genome Sequence ◽  
Model Organism ◽  
Nuclear Genome ◽  
Fungal Species ◽  
Cell Factory ◽  
Dna Assembly ◽  
High Quality ◽  
Genetic Organization ◽  
Wide Range

Abstract Background Aspergillus niger is a ubiquitous filamentous fungus widely employed as a cell factory thanks to its abilities to produce a wide range of organic acids and enzymes. Due to its economic importance and its role as model organism to study fungal fermentation, its genome was one of the first Aspergillus genomes to be sequenced in 2007. Nowadays, the genome sequences of at least five other A. niger strains are available. These, however, do not include the neotype strain CBS 554.65. Results In this study, the genome of CBS 554.65 was sequenced with PacBio. A high-quality nuclear genome sequence consisting of 17 contigs with a N50 value of 4.07 Mbp was obtained. The sequencing covered all the 8 centromeric regions of the chromosomes. In addition, a complete circular mitochondrial DNA assembly was obtained. In silico analyses revealed the presence of a MAT1-2-1 gene in this genome, contrary to the so far sequenced A. niger strains, which all contain a MAT1-1-1 gene. An alignment at the MAT locus showed a different position of the MAT1-1-1 gene of ATCC 1015 compared to the MAT1-2-1 gene of CBS 554.65, relative to the surrounding genes. In addition, 24 other sequenced isolates of A. niger showed a 1:1 ratio of MAT1-1 and MAT1-2 loci. While the genetic organization of the MAT1-2 locus of CBS 554.65 is similar to what is found in other aspergilli, the genetic organization of the MAT1-1 locus is flipped in all sequenced strains. Conclusions This study, besides providing a high-quality genome sequence of an important A. niger strain, suggests the occurrence of genetic flipping or switching events at the MAT1-1 locus of A. niger. These results provide new insights in the mating system of A. niger and could contribute to the investigation and potential discovery of sexuality of this so far asexual fungal species.

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