scholarly journals Purine Auxotrophic Starvation Evokes Phenotype Similar to Stationary Phase Cells in Budding Yeast

2021 ◽  
Vol 8 (1) ◽  
pp. 29
Author(s):  
Agnese Kokina ◽  
Kristel Tanilas ◽  
Zane Ozolina ◽  
Karlis Pleiko ◽  
Karlis Shvirksts ◽  
...  

Purine auxotrophy is an abundant trait among eukaryotic parasites and a typical marker for many budding yeast strains. Supplementation with an additional purine source (such as adenine) is necessary to cultivate these strains. If not supplied in adequate amounts, purine starvation sets in. We explored purine starvation effects in a model organism, a budding yeast Saccharomyces cerevisiae ade8 knockout, at the level of cellular morphology, central carbon metabolism, and global transcriptome. We observed that purine-starved cells stopped their cycle in G1/G0 state and accumulated trehalose, and the intracellular concentration of AXP decreased, but adenylate charge remained stable. Cells became tolerant to severe environmental stresses. Intracellular RNA concentration decreased, and massive downregulation of ribosomal biosynthesis genes occurred. We proved that the expression of new proteins during purine starvation is critical for cells to attain stress tolerance phenotype Msn2/4p targets are upregulated in purine-starved cells when compared to cells cultivated in purine-rich media. The overall transcriptomic response to purine starvation resembles that of stationary phase cells. Our results demonstrate that the induction of a strong stress resistance phenotype in budding yeast can be caused not only by natural starvation, but also starvation for metabolic intermediates, such as purines.

2021 ◽  
Author(s):  
Agnese Kokina ◽  
Zane Ozolina ◽  
Karlis Pleiko ◽  
Karlis Svirksts ◽  
Kristel Tanilas ◽  
...  

Purine auxotrophy is a typical marker for many laboratory yeast strains. Supplementation of additional purine source (like adenine) is necessary to cultivate these strains. If not supplied in adequate amounts, purine starvation sets in. We tested purine starvation effects in budding yeast Saccharomyces cerevisiae ade8 knockout. We explored effects brought by purine starvation in cellular, central carbon metabolism and in the global transcriptome level. We observed that cells cultivated in purine depleted media became significantly more tolerant to severe thermal, oxidative and desiccation stresses when compared to the cells cultivated in media with all necessary supplements. When starved for purine, cells stop their cell cycle in G1 or G0 state; intracellular concentration of ATP, ADP and AMP decreases, but adenylate charge remains stable. Intracellular RNA concentration decreases and massive downregulation of ribosomal RNA occurs. We think that purine auxotrophic starvation in a way mimics natural nitrogen or carbon starvations and therefore initiates elements of a transcriptional program typical for stationary phase cells (cell cycle arrest, increased stress resistance). Therefore our results demonstrate that organised metabolic response is initiated not only via natural starvations, but also when starving for metabolic intermediates, like purines.


2019 ◽  
Vol 9 (5) ◽  
pp. 297
Author(s):  
Shaoyu Wang

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


2015 ◽  
Vol 26 (22) ◽  
pp. 3920-3925 ◽  
Author(s):  
Yoshikazu Ohya ◽  
Yoshitaka Kimori ◽  
Hiroki Okada ◽  
Shinsuke Ohnuki

The demand for phenomics, a high-dimensional and high-throughput phenotyping method, has been increasing in many fields of biology. The budding yeast Saccharomyces cerevisiae, a unicellular model organism, provides an invaluable system for dissecting complex cellular processes using high-resolution phenotyping. Moreover, the addition of spatial and temporal attributes to subcellular structures based on microscopic images has rendered this cell phenotyping system more reliable and amenable to analysis. A well-designed experiment followed by appropriate multivariate analysis can yield a wealth of biological knowledge. Here we review recent advances in cell imaging and illustrate their broad applicability to eukaryotic cells by showing how these techniques have advanced our understanding of budding yeast.


1990 ◽  
Vol 68 (2) ◽  
pp. 427-435 ◽  
Author(s):  
Gerald C. Johnston ◽  
Richard A. Singer

Mutations in the budding yeast Saccharomyces cerevisiae define regulatory activities both for the mitotic cell cycle and for resumption of proliferation from the quiescent stationary-phase state. In each case, the regulation of proliferation occurs in the prereplicative interval that precedes the initiation of DNA replication. This regulation is particularly responsive to the nutrient environment and the biosynthetic capacity of the cell. Mutations in components of the cAMP-mediated effector pathway and in components of the biosynthetic machinery itself affect regulation of proliferation within the mitotic cell cycle. In the extreme case of nutrient starvation, cells cease proliferation and enter stationary phase. Mutations in newly defined genes prevent stationary-phase cells from reentering the mitotic cell cycle, but have no effect on proliferating cells. Thus stationary phase represents a unique developmental state, with requirements to resume proliferation that differ from those for the maintenance of proliferation in the mitotic cell cycle.Key words: Saccharomyces cerevisiae, cell cycle, growth, cAMP, stationary phase.


2013 ◽  
Vol 60 (1) ◽  
Author(s):  
Renata Zadrag-Tecza ◽  
Mateusz Molon ◽  
Jan Mamczur ◽  
Tomasz Bilinski

The lifespan of budding yeast cells is divided into two stages: reproductive and post-reproductive. The post-reproductive stage of the yeast's lifespan has never been characterized before. We have analyzed the influence of various mutations on the post-reproductive (PRLS) and replicative (RLS) lifespans. The results indicate that PRLS demonstrates an inverse relationship with RLS. The observed lack of differences in the total lifespan (TLS) (expressed in units of time) of strains differing up to five times in RLS (expressed in the number of daughters formed) suggests the necessity of revision of opinions concerning the use of yeast as a model organism of gerontology.


2021 ◽  
Author(s):  
Yanni Sudiyani ◽  
Muhammad Eka Prastya ◽  
Roni Maryana ◽  
Eka Triwahyuni ◽  
Muryanto

Saccharomyces cerevisiae, the budding yeast was long history as industrial baker’s yeast due to its ability to produce numerous product such as ethanol, acetate, industrial bakers etc. Interestingly, this yeast was also important tools for studying biological mechanism in eukaryotic cells including aging, autophagy, mitochondrial response etc. S. cerevisiae has arisen as a powerful chemical and genetic screening platform, due to a rapid workflow with experimental amenability and the availability of a wide range of genetic mutant libraries. Calorie restriction (CR) as the reduction of nutrients intake could promote yeast longevity through some pathways such as inhibition of nutrient sensing target of rapamycin (TOR), serine–threonine kinase (SCH9), protein adenylate cyclase (AC), protein kinase A (PKA) and ras, reduced ethanol, acetic acid and apoptotic process. In addition, CR also induces the expression of antioxidative proteins, sirtuin2 (Sir2), autophagy and induction of mitochondrial yeast adaptive response. Three methods, spotting test; chronological life span (CLS) and replicative life span (RLS) assays, have been developed to study aging in S. cerevisiae. Here, we present strategies for pharmacological anti-aging screens in yeast, discuss common pitfalls and summarize studies that have used yeast for drug discovery.


Microbiology ◽  
1997 ◽  
Vol 143 (6) ◽  
pp. 1867-1876 ◽  
Author(s):  
P. A. Radcliffe ◽  
K. M. Binley ◽  
J. Trevethick ◽  
M. Hall ◽  
P. E. Sudbery

2007 ◽  
Vol 3 ◽  
pp. 117693510700300 ◽  
Author(s):  
B.P. Ingalls ◽  
B.P. Duncker ◽  
D.R. Kim ◽  
B.J. McConkey

Proteins involved in the regulation of the cell cycle are highly conserved across all eukaryotes, and so a relatively simple eukaryote such as yeast can provide insight into a variety of cell cycle perturbations including those that occur in human cancer. To date, the budding yeast Saccharomyces cerevisiae has provided the largest amount of experimental and modeling data on the progression of the cell cycle, making it a logical choice for in-depth studies of this process. Moreover, the advent of methods for collection of high-throughput genome, transcriptome, and proteome data has provided a means to collect and precisely quantify simultaneous cell cycle gene transcript and protein levels, permitting modeling of the cell cycle on the systems level. With the appropriate mathematical framework and sufficient and accurate data on cell cycle components, it should be possible to create a model of the cell cycle that not only effectively describes its operation, but can also predict responses to perturbations such as variation in protein levels and responses to external stimuli including targeted inhibition by drugs. In this review, we summarize existing data on the yeast cell cycle, proteomics technologies for quantifying cell cycle proteins, and the mathematical frameworks that can integrate this data into representative and effective models. Systems level modeling of the cell cycle will require the integration of high-quality data with the appropriate mathematical framework, which can currently be attained through the combination of dynamic modeling based on proteomics data and using yeast as a model organism.


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