| Literature DB >> 29027325 |
Christina L Richards1, Conchita Alonso2, Claude Becker3, Oliver Bossdorf4, Etienne Bucher5, Maria Colomé-Tatché6,7,8, Walter Durka9,10, Jan Engelhardt11, Bence Gaspar4, Andreas Gogol-Döring10,12, Ivo Grosse10,12, Thomas P van Gurp13, Katrin Heer14, Ilkka Kronholm15, Christian Lampei16, Vít Latzel17, Marie Mirouze18, Lars Opgenoorth19, Ovidiu Paun20, Sonja J Prohaska11,21, Stefan A Rensing22,23, Peter F Stadler10,11,21,24, Emiliano Trucchi20, Kristian Ullrich22, Koen J F Verhoeven13.
Abstract
Growing evidence shows that epigenetic mechanisms contribute to complex traits, with implications across many fields of biology. In plant ecology, recent studies have attempted to merge ecological experiments with epigenetic analyses to elucidate the contribution of epigenetics to plant phenotypes, stress responses, adaptation to habitat, and range distributions. While there has been some progress in revealing the role of epigenetics in ecological processes, studies with non-model species have so far been limited to describing broad patterns based on anonymous markers of DNA methylation. In contrast, studies with model species have benefited from powerful genomic resources, which contribute to a more mechanistic understanding but have limited ecological realism. Understanding the significance of epigenetics for plant ecology requires increased transfer of knowledge and methods from model species research to genomes of evolutionarily divergent species, and examination of responses to complex natural environments at a more mechanistic level. This requires transforming genomics tools specifically for studying non-model species, which is challenging given the large and often polyploid genomes of plants. Collaboration among molecular geneticists, ecologists and bioinformaticians promises to enhance our understanding of the mutual links between genome function and ecological processes.Keywords: Bioinformatics; ecological epigenetics; genomics; phenotypic plasticity; response to environment
Mesh:
Year: 2017 PMID: 29027325 DOI: 10.1111/ele.12858
Source DB: PubMed Journal: Ecol Lett ISSN: 1461-023X Impact factor: 9.492