Evidence map›Paper›PMID 27979908›Full record

ArticleMolecular systems biology2016

Disentangling genetic and epigenetic determinants of ultrafast adaptation.

Arne B Gjuvsland, Enikö Zörgö, Jeevan Ka Samy, Simon Stenberg, Ibrahim H Demirsoy, Francisco Roque, Ewa Maciaszczyk-Dziubinska, Magdalena Migocka, Elisa Alonso-Perez, Martin Zackrisson and 5 more

Abstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors.

Arne B GjuvslandCentre for Integrative Genetics (CIGENE), Department of Animal and Aquacultural Sciences, Norwegian University of Life Sciences, Ås, Norway arne.gjuvsland@nmbu.no jonas.warringer@cmb.gu.se.ORCID http://orcid.org/0000-0002-4391-3411
Enikö ZörgöCentre for Integrative Genetics (CIGENE), Department of Animal and Aquacultural Sciences, Norwegian University of Life Sciences, Ås, Norway.
Jeevan Ka SamyCentre for Integrative Genetics (CIGENE), Department of Animal and Aquacultural Sciences, Norwegian University of Life Sciences, Ås, Norway.
Simon StenbergCentre for Integrative Genetics (CIGENE), Department of Animal and Aquacultural Sciences, Norwegian University of Life Sciences, Ås, Norway.
Ibrahim H DemirsoyDepartment of Chemistry and Molecular Biology, University of Gothenburg, Gothenburg, Sweden.ORCID http://orcid.org/0000-0001-7825-7787
Francisco RoqueComputational Biology Unit, University of Bergen, Bergen, Norway.
Ewa Maciaszczyk-DziubinskaInstitute of Experimental Biology, University of Wroclaw, Wroclaw, Poland.
Magdalena MigockaInstitute of Experimental Biology, University of Wroclaw, Wroclaw, Poland.
Elisa Alonso-PerezDepartment of Chemistry and Molecular Biology, University of Gothenburg, Gothenburg, Sweden.
Martin ZackrissonDepartment of Chemistry and Molecular Biology, University of Gothenburg, Gothenburg, Sweden.
Robert WysockiInstitute of Experimental Biology, University of Wroclaw, Wroclaw, Poland.
Markus J TamásDepartment of Chemistry and Molecular Biology, University of Gothenburg, Gothenburg, Sweden.
Inge JonassenComputational Biology Unit, University of Bergen, Bergen, Norway.
Stig W OmholtCentre for Biodiversity Dynamics, Department of Biology, NTNU - Norwegian University of Science and Technology, Trondheim, Norway.
Jonas WarringerCentre for Integrative Genetics (CIGENE), Department of Animal and Aquacultural Sciences, Norwegian University of Life Sciences, Ås, Norway arne.gjuvsland@nmbu.no jonas.warringer@cmb.gu.se.ORCID http://orcid.org/0000-0001-6144-2740

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Epigenesis, GeneticMutationAdaptation, PhysiologicalArsenicBacterial ProteinsEvolution, MolecularGenetic FitnessHigh-Throughput Nucleotide SequencingModels, GeneticSaccharomycetalesSelection, GeneticSequence Analysis, DNASystems BiologyArsenicBacterial Proteinsadaptationepigeneticsevolutionmodellingpopulation genetics

Identifiers

PMID27979908
PMCPMC5199126

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.