Title |
Fitness effects of altering gene expression noise in Saccharomyces cerevisiae
|
---|---|
Published in |
eLife, August 2018
|
DOI | 10.7554/elife.37272 |
Pubmed ID | |
Authors |
Fabien Duveau, Andrea Hodgins-Davis, Brian PH Metzger, Bing Yang, Stephen Tryban, Elizabeth A Walker, Tricia Lybrook, Patricia J Wittkopp |
Abstract |
Gene expression noise is an evolvable property of biological systems that describes differences in expression among genetically identical cells in the same environment. Prior work has shown that expression noise is heritable and can be shaped by selection, but the impact of variation in expression noise on organismal fitness has proven difficult to measure. Here, we quantify the fitness effects of altering expression noise for the TDH3 gene in Saccharomyces cerevisiae. We show that increases in expression noise can be deleterious or beneficial depending on the difference between the average expression level of a genotype and the expression level maximizing fitness. We also show that a simple model relating single-cell expression levels to population growth produces patterns consistent with our empirical data. We use this model to explore a broad range of average expression levels and expression noise, providing additional insight into the fitness effects of variation in expression noise. |
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Canada | 4 | 4% |
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Spain | 2 | 2% |
New Zealand | 1 | 1% |
Colombia | 1 | 1% |
Other | 4 | 4% |
Unknown | 30 | 32% |
Demographic breakdown
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Scientists | 51 | 55% |
Members of the public | 39 | 42% |
Practitioners (doctors, other healthcare professionals) | 2 | 2% |
Science communicators (journalists, bloggers, editors) | 1 | 1% |
Mendeley readers
Geographical breakdown
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Unknown | 138 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Ph. D. Student | 37 | 27% |
Researcher | 26 | 19% |
Student > Master | 22 | 16% |
Student > Postgraduate | 8 | 6% |
Student > Bachelor | 8 | 6% |
Other | 21 | 15% |
Unknown | 16 | 12% |
Readers by discipline | Count | As % |
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Agricultural and Biological Sciences | 38 | 28% |
Immunology and Microbiology | 5 | 4% |
Physics and Astronomy | 5 | 4% |
Engineering | 4 | 3% |
Other | 11 | 8% |
Unknown | 21 | 15% |