ArticleMolecular systems biology2016
Disentangling genetic and epigenetic determinants of ultrafast adaptation.
Article in Molecular systems biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Adaptation of the yeast gene knockout collection is near-perfectly predicted by fitness and diminishing return epistasis.G3 (Bethesda, Md.) · 2022Article
- Genetically controlled mtDNA deletions prevent ROS damage by arresting oxidative phosphorylation.eLife · 2022Article
- Shared Molecular Targets Confer Resistance over Short and Long Evolutionary Timescales.Molecular biology and evolution · 2019Article
- Do environmentally induced DNA variations mediate adaptation in Aspergillus flavus exposed to chromium stress in tannery sludge?BMC genomics · 2018Article
- Experimental Design, Population Dynamics, and Diversity in Microbial Experimental Evolution.Microbiology and molecular biology reviews : MMBR · 2018Review
- Disentangling genetic and epigenetic determinants of ultrafast adaptation.Molecular systems biology · 2016Article
Corrections and comments
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Authors and funding
15 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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.
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Registered trials
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