Scientific Reports · 2022 · 10 citations · 33 references
Life SciencesPlant BiologyPlant SciencesPlant EvolutionPlant GeneticsSpeciationEnvironmental EpigeneticsGenome Evolution In PlantsPlant EpigeneticsPolyploid SpeciationPolyploidy In Plant EvolutionSpeciation In PlantsAbiotic Stress EpigeneticsEcological Consequences Of PolyploidyEcological Speciation In PolyploidsGlobal Dna MethylationPolyploid AdaptationPolyploid EpigeneticsPolyploidy EvolutionStress-induced Epigenetic Changes
Polyploidization drives the evolution of grasses and can result in epigenetic changes, which may have a role in the creation of new evolutionary lineages and ecological speciation. As such changes may be inherited, they can also influence adaptation to the environment. Populations from different regions and climates may also differ epigenetically; however, this phenomenon is poorly understood. The present study analyzes the effect of climatic stress on global DNA methylation based on a garden collection of two related mountain grasses (the narrow endemic diploid Festuca tatrae and the more widely distributed mixed-ploidy F. amethystina) with different geographic ranges and ecological niches. A lower level of DNA methylation was observed for F. tatrae, while a higher mean level was obtained for the diploid and tetraploid of F. amethystina; with the tetraploids having a higher level of global methylated DNA than the diploids. The weather conditions (especially insolation) measured 24 h prior to sampling appeared to have a closer relationship with global DNA methylation level than those observed seven days before sampling. Our findings suggest that the level of methylation during stress conditions (drought, high temperature and high insolation) may be significantly influenced by the ploidy level and bioclimatic provenance of specimens; however an important role may also be played by the intensity of stress conditions in a given year.
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Widespread natural variation of DNA methylation within angiosperms
Chad E. Niederhuth, Adam J. Bewick, Lexiang Ji et al. · Genome biology · 2016 · 589 citations · Full text