Disentangling genetic and epigenetic determinants of ultrafast adaptation
| Autor: | Simon Stenberg, Francisco S. Roque, Enikö Zörgö, Ewa Maciaszczyk-Dziubinska, Markus J. Tamás, Magdalena Migocka, Arne B. Gjuvsland, Elisa Alonso-Perez, Jeevan Karloss Antony Samy, Jonas Warringer, Ibrahim H Demirsoy, Martin Zackrisson, Robert W. Wysocki, Inge Jonassen, Stig W. Omholt |
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| Jazyk: | angličtina |
| Rok vydání: | 2016 |
| Předmět: |
0301 basic medicine
Mutation rate Evolution Genetic Fitness Population genetics adaptation Biology General Biochemistry Genetics and Molecular Biology Modelling Arsenic Epigenesis Genetic modelling Evolution Molecular 03 medical and health sciences Bacterial Proteins Pleiotropy Report evolution Selection Genetic Adaptation Genetics Phenotypic plasticity Experimental evolution Models Genetic General Immunology and Microbiology epigenetics Systems Biology Applied Mathematics High-Throughput Nucleotide Sequencing population genetics Sequence Analysis DNA Adaptation Physiological 030104 developmental biology Computational Theory and Mathematics Evolutionary biology Genome-Scale & Integrative Biology Mutation Saccharomycetales Mutation (genetic algorithm) General Agricultural and Biological Sciences Reports Information Systems |
| Zdroj: | Molecular Systems Biology |
| Popis: | A major rationale for the advocacy of epigenetically mediated adaptive responses is that they facilitate faster adaptation to environmental challenges. This motivated us to develop a theoretical–experimental framework for disclosing the presence of such adaptation‐speeding mechanisms in an experimental evolution setting circumventing the need for pursuing costly mutation–accumulation experiments. To this end, we exposed clonal populations of budding yeast to a whole range of stressors. By growth phenotyping, we found that almost complete adaptation to arsenic emerged after a few mitotic cell divisions without involving any phenotypic plasticity. Causative mutations were identified by deep sequencing of the arsenic‐adapted populations and reconstructed for validation. Mutation effects on growth phenotypes, and the associated mutational target sizes were quantified and embedded in data‐driven individual‐based evolutionary population models. We found that the experimentally observed homogeneity of adaptation speed and heterogeneity of molecular solutions could only be accounted for if the mutation rate had been near estimates of the basal mutation rate. The ultrafast adaptation could be fully explained by extensive positive pleiotropy such that all beneficial mutations dramatically enhanced multiple fitness components in concert. As our approach can be exploited across a range of model organisms exposed to a variety of environmental challenges, it may be used for determining the importance of epigenetic adaptation‐speeding mechanisms in general. © 2016 The Authors. Published under the terms of the CC BY 4.0 license. |
| Databáze: | OpenAIRE |
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