Abstract

In plants, transgenerational inheritance of some epialleles has been demonstrated but it remains controversial whether epigenetic variation is subject to selection and contributes to adaptation. Simulating selection in a rapidly changing environment, we compare phenotypic traits and epigenetic variation between Arabidopsis thaliana populations grown for five generations under selection and their genetically nearly identical ancestors. Selected populations of two distinct genotypes show significant differences in flowering time and plant architecture, which are maintained for at least 2–3 generations in the absence of selection. While we cannot detect consistent genetic changes, we observe a reduction of epigenetic diversity and changes in the methylation state of about 50,000 cytosines, some of which are associated with phenotypic changes. Thus, we propose that epigenetic variation is subject to selection and can contribute to rapid adaptive responses, although the extent to which epigenetics plays a role in adaptation is still unclear.

Details

Title
Contribution of epigenetic variation to adaptation in Arabidopsis
Author
Schmid, Marc W 1   VIAFID ORCID Logo  ; Heichinger, Christian 2 ; Diana Coman Schmid 3 ; Guthörl, Daniela 4 ; Gagliardini, Valeria 4 ; Bruggmann, Rémy 5 ; Aluri, Sirisha 6 ; Aquino, Catharine 6 ; Schmid, Bernhard 7   VIAFID ORCID Logo  ; Turnbull, Lindsay A 8   VIAFID ORCID Logo  ; Grossniklaus, Ueli 4   VIAFID ORCID Logo 

 Department of Plant and Microbial Biology, University of Zurich, Zurich, Switzerland; Zurich-Basel Plant Science Center, University of Zurich, ETH Zurich and University of Basel, Zurich, Switzerland; Service and Support for Science IT, University of Zurich, Zurich, Switzerland; MWSchmid GmbH, Zurich, Switzerland 
 Department of Plant and Microbial Biology, University of Zurich, Zurich, Switzerland; Zurich-Basel Plant Science Center, University of Zurich, ETH Zurich and University of Basel, Zurich, Switzerland; L. Hoffmann-La Roche AG, Basel, Switzerland 
 Department of Plant and Microbial Biology, University of Zurich, Zurich, Switzerland; Zurich-Basel Plant Science Center, University of Zurich, ETH Zurich and University of Basel, Zurich, Switzerland; Scientific IT Services, ETH Zurich, Zurich, Switzerland 
 Department of Plant and Microbial Biology, University of Zurich, Zurich, Switzerland; Zurich-Basel Plant Science Center, University of Zurich, ETH Zurich and University of Basel, Zurich, Switzerland 
 Interfaculty Bioinformatics Unit and Swiss Institute of Bioinformatics, University of Bern, Bern, Switzerland 
 Functional Genomics Center Zurich, ETH and University of Zurich, Zurich, Switzerland 
 Zurich-Basel Plant Science Center, University of Zurich, ETH Zurich and University of Basel, Zurich, Switzerland; Department of Evolutionary Biology and Environmental Studies, University of Zurich, Zurich, Switzerland 
 Zurich-Basel Plant Science Center, University of Zurich, ETH Zurich and University of Basel, Zurich, Switzerland; Department of Evolutionary Biology and Environmental Studies, University of Zurich, Zurich, Switzerland; Department of Plant Sciences, University of Oxford, Oxford, UK 
Pages
1-12
Publication year
2018
Publication date
Oct 2018
Publisher
Nature Publishing Group
e-ISSN
20411723
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2125272372
Copyright
© 2018. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.