ArticleGenome biology and evolution2014
A neutrality test for detecting selection on DNA methylation using single methylation polymorphism frequency spectrum.
Article in Genome biology and evolution, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- Methylomes Reveal Recent Evolutionary Changes in Populations of Two Plant Species.Genome biology and evolution · 2025Article
- Article
- Epimutations Define a Fast-Ticking Molecular Clock in Plants.Trends in genetics : TIG · 2021Review
- Article
- Environment-Driven Adaptations of Leaf Cuticular Waxes Are Inheritable forFrontiers in plant science · 2021Article
- Population Genetics and Natural Selection in Rheumatic Disease.Rheumatic diseases clinics of North America · 2017Review
- Maximizing ecological and evolutionary insight in bisulfite sequencing data sets.Nature ecology & evolution · 2017Review
- Facilitation of environmental adaptation and evolution by epigenetic phenotype variation: insights from clonal, invasive, polyploid, and domesticated animals.Environmental epigenetics · 2017Review
- Methylome evolution in plants.Genome biology · 2016Review
- Genetic sources of population epigenomic variation.Nature reviews. Genetics · 2016Review
- The concerted impact of domestication and transposon insertions on methylation patterns between dogs and grey wolves.Molecular ecology · 2016Article
- BsRADseq: screening DNA methylation in natural populations of non-model species.Molecular ecology · 2016Article
- Genetics of autoimmune diseases: insights from population genetics.Journal of human genetics · 2015Review
- Rate, spectrum, and evolutionary dynamics of spontaneous epimutations.Proceedings of the National Academy of Sciences of the United States of America · 2015Article
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2 authors.
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Abstract
Inheritable epigenetic mutations (epimutations) can contribute to transmittable phenotypic variation. Thus, epimutations can be subject to natural selection and impact the fitness and evolution of organisms. Based on the framework of the modified Tajima's D test for DNA mutations, we developed a neutrality test with the statistic "D(m)" to detect selection forces on DNA methylation mutations using single methylation polymorphisms. With computer simulation and empirical data analysis, we compared the D(m) test with the original and modified Tajima's D tests and demonstrated that the D(m) test is suitable for detecting selection on epimutations and outperforms original/modified Tajima's D tests. Due to the higher resetting rate of epimutations, the interpretation of D(m) on epimutations and Tajima's D test on DNA mutations could be different in inferring natural selection. Analyses using simulated and empirical genome-wide polymorphism data suggested that genes under genetic and epigenetic selections behaved differently. We applied the D(m) test to recently originated Arabidopsis and human genes, and showed that newly evolved genes contain higher level of rare epialleles, suggesting that epimutation may play a role in origination and evolution of genes and genomes. Overall, we demonstrate the utility of the D(m) test to detect whether the loci are under selection regarding DNA methylation. Our analytical metrics and methodology could contribute to our understanding of evolutionary processes of genes and genomes in the field of epigenetics. The Perl script for the "D(m)" test is available at http://fanlab.wayne.edu/ (last accessed December 18, 2014).
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