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Distribution and regulation of stochasticity and plasticity in Saccharomyces cerevisiae

Journal Article · · Chaos: An Interdisciplinary Journal of Nonlinear Science
DOI:https://doi.org/10.1063/1.3486800· OSTI ID:989716
Stochasticity is an inherent feature of complex systems with nanoscale structure. In such systems information is represented by small collections of elements (e.g. a few electrons on a quantum dot), and small variations in the populations of these elements may lead to big uncertainties in the information. Unfortunately, little is known about how to work within this inherently noisy environment to design robust functionality into complex nanoscale systems. Here, we look to the biological cell as an intriguing model system where evolution has mediated the trade-offs between fluctuations and function, and in particular we look at the relationships and trade-offs between stochastic and deterministic responses in the gene expression of budding yeast (Saccharomyces cerevisiae). We find gene regulatory arrangements that control the stochastic and deterministic components of expression, and show that genes that have evolved to respond to stimuli (stress) in the most strongly deterministic way exhibit the most noise in the absence of the stimuli. We show that this relationship is consistent with a bursty 2-state model of gene expression, and demonstrate that this regulatory motif generates the most uncertainty in gene expression when there is the greatest uncertainty in the optimal level of gene expression.
Research Organization:
Oak Ridge National Laboratory (ORNL); Center for Nanophase Materials Sciences
Sponsoring Organization:
SC USDOE - Office of Science (SC)
DOE Contract Number:
AC05-00OR22725
OSTI ID:
989716
Journal Information:
Chaos: An Interdisciplinary Journal of Nonlinear Science, Journal Name: Chaos: An Interdisciplinary Journal of Nonlinear Science Journal Issue: 3 Vol. 20; ISSN 1054-1500
Country of Publication:
United States
Language:
English

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Cited By (6)

Perspective: Engineering noise in biological systems towards predictive stochastic design journal June 2018
Computational Investigation of Environment-Noise Interaction in Single-Cell Organisms: The Merit of Expression Stochasticity Depends on the Quality of Environmental Fluctuations journal January 2018
The Low Noise Limit in Gene Expression journal October 2015
High-Throughput Yeast Aging Analysis for Cryptococcus (HYAAC) microfluidic device streamlines aging studies in Cryptococcus neoformans journal July 2019
Screening for noise in gene expression identifies drug synergies journal June 2014
Fine-tuning of noise in gene expression with nucleosome remodeling journal June 2018

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