The regulation mechanisms and the Lamarckian inheritance property of DNA methylation in animals

From Environmental Epigenetics to the Inheritance of Acquired Traits: A Historian and Molecular Perspective on an Unnecessary Lamarckian Explanation

In the last decade, it has been suggested that epigenetics may enhance the adaptive possibilities of animals and plants to novel environments and/or habitats and that such epigenetic changes may be inherited from parents to offspring, favoring their adaptation. As a consequence, several Authors called for a shift in the Darwinian paradigm, asking for a neo-Lamarckian view of evolution. Regardless of what will be discovered about the mechanisms of rapid adaptation to environmental changes, the description of epigenetic inheritance as a Lamarckian process is incorrect from a historical point of view and useless at a scientific level. At the same time, even if some examples support the presence of adaptation without the involvement of changes in DNA sequences, in the current scenario no revolution is actually occurring, so we are simply working on a stimulating research program that needs to be developed but that is, at present, completely Darwinian.

Evidence for differences in DNA methylation between Germans and Japanese

As a contribution to the discussion about the possible effects of ethnicity/ancestry on age estimation based on DNA methylation (DNAm) patterns, we directly compared age-associated DNAm in German and Japanese donors in one laboratory under identical conditions. DNAm was analyzed by pyrosequencing for 22 CpG sites (CpGs) in the genes PDE4C, RPA2, ELOVL2, DDO, and EDARADD in buccal mucosa samples from German and Japanese donors (N = 368 and N = 89, respectively).

Twenty of these CpGs revealed a very high correlation with age and were subsequently tested for differences between German and Japanese donors aged between 10 and 65 years (N = 287 and N = 83, respectively). ANCOVA was performed by testing the Japanese samples against age- and sex-matched German subsamples (N = 83 each; extracted 500 times from the German total sample). The median p values suggest a strong evidence for significant differences (p < 0.05) at least for two CpGs (EDARADD, CpG 2, and PDE4C, CpG 2) and no differences for 11 CpGs (p > 0.3).

Age prediction models based on DNAm data from all 20 CpGs from German training data did not reveal relevant differences between the Japanese test samples and German subsamples. Obviously, the high number of included “robust CpGs” prevented relevant effects of differences in DNAm at two CpGs.

Nevertheless, the presented data demonstrates the need for further research regarding the impact of confounding factors on DNAm in the context of ethnicity/ancestry to ensure a high quality of age estimation. One approach may be the search for “robust” CpG markers—which requires the targeted investigation of different populations, at best by collaborative research with coordinated research strategies.