Reynolds, R. M. | bioRxiv Science

bioRxiv2018

Variably methylated regions in the newborn epigenome: environmental, genetic and combined influences

BackgroundEpigenetic processes, including DNA methylation (DNAm), are among the mechanisms allowing integration of genetic and environmental factors to shape cellular function. While many studies have investigated either environmental or genetic contributions to DNAm, few have assessed their integrated effects. We examined the relative contributions of prenatal environmental factors and genotype on DNA methylation in neonatal blood at variably methylated regions (VMRs), defined as consecutive CpGs showing the highest variability of DNAm in 4 independent cohorts (PREDO, DCHS, UCI, MoBa, N=2,934).\n\nResultsWe used Akaikes information criterion to test which factors best explained variability of methylation in the cohort-specific VMRs: several prenatal environmental factors (E) including maternal demographic, psychosocial and metabolism related phenotypes, genotypes in cis (G), or their additive (G+E) or interaction (GxE) effects. G+E and GxE models consistently best explained variability in DNAm of VMRs across the cohorts, with G explaining the remaining sites best. VMRs best explained by G, GxE or G+E, as well as their associated functional genetic variants (predicted using deep learning algorithms), were located in distinct genomic regions, with different enrichments for transcription and enhancer marks. Genetic variants of not only G and G+E models, but also of variants in GxE models were significantly enriched in genome wide association studies (GWAS) for complex disorders.\n\nConclusionGenetic and environmental factors in combination best explain DNAm at VMRs. The CpGs best explained by G, G+E or GxE are functionally distinct. The enrichment of GxE variants in GWAS for complex disorders supports their importance for disease risk.

genetics↗

bioRxiv2018

Environmental and evolutionary drivers of the modular gene regulatory network underlying phenotypic plasticity for stress resistance in the nematode Caenorhabditis remanei

In response to changing environmental conditions, organisms can acclimate through phenotypic plasticity or adapt by evolving mechanisms to cope with novel stressors. Changes in gene expression, whether dynamic or evolved, are an important way in which environmental responses are mediated; however, much is still unknown about how the molecular networks underlying plastic phenotypes evolve. Here, we compare transcriptional responses to acute heat stress among four populations of the nematode Caenorhabditis remanei--one selected to withstand heat stress, one selected under oxidative stress, an unselected control, and the ancestral population. We used a weighted gene coexpression network analysis within these lines to identify transcriptional modules, which are sets of genes that respond similarly to stress via plastic responses, evolutionary responses, or both. The transcriptional response to acute heat stress is dominated by a plastic response that is shared in the ancestor and all evolved populations. However, we also identified several modules that respond to artificial selection by (1) changing the baseline level of expression, (2) altering the magnitude of the plastic response, or (3) a combination of the two. Our findings reveal that while it is possible to perturb the nature of the transcriptional response network with short bouts of intense selection, the overall structure of transcriptional plasticity is dominated by inherent, ancestral regulatory systems.

evolutionary biology↗