Disentangling genetic and epigenetic determinants of ultrafast adaptation

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 below the upper bound of empirical 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.

Identifier
Source https://data.blue-cloud.org/search-details?step=~0123B6BC15D1CE11E21026266FE43A50E6015E85EF8
Metadata Access https://data.blue-cloud.org/api/collections/3B6BC15D1CE11E21026266FE43A50E6015E85EF8
Provenance
Instrument AB 5500xl Genetic Analyzer; ABI_SOLID
Publisher Blue-Cloud Data Discovery & Access service; ELIXIR-ENA
Publication Year 2024
OpenAccess true
Contact blue-cloud-support(at)maris.nl
Representation
Discipline Marine Science
Temporal Point 2016-11-09T00:00:00Z