PT  - JOURNAL ARTICLE
AU  - Eriko Sasaki
AU  - Taiji Kawakatsu
AU  - Joseph Ecker
AU  - Magnus Nordborg
TI  - Common alleles of &lt;em&gt;CMT2&lt;/em&gt; and &lt;em&gt;NRPE1&lt;/em&gt; are major determinants of &lt;em&gt;de novo&lt;/em&gt; DNA methylation variation in &lt;em&gt;Arabidopsis thaliana&lt;/em&gt;
AID  - 10.1101/819516
DP  - 2019 Jan 01
TA  - bioRxiv
PG  - 819516
4099  - http://biorxiv.org/content/early/2019/10/25/819516.short
4100  - http://biorxiv.org/content/early/2019/10/25/819516.full
AB  - DNA cytosine methylation is an epigenetic mark associated with silencing of transposable elements (TEs) and heterochromatin formation. In plants, it occurs in three sequence contexts: CG, CHG, and CHH (where H is A, T, or C). The latter does not allow direct inheritance of methylation during DNA replication due to lack of symmetry, and methylation must therefore be re-established every cell generation. Genome-wide association studies (GWAS) have previously shown that CMT2 and NRPE1 are major determinants of genome-wide patterns of TE CHH-methylation. Here we instead focus on CHH-methylation of individual TEs and TE-families, allowing us to identify the pathways involved in CHH-methylation simply from natural variation and confirm the associations by comparing them with mutant phenotypes. Methylation at TEs targeted by the RNA-directed DNA methylation (RdDM) pathway is unaffected by CMT2 variation, but is strongly affected by variation at NRPE1, which is largely responsible for the longitudinal cline in this phenotype. In contrast, CMT2-targeted TEs are affected by both loci, which jointly explain 7.3% of the phenotypic variation (13.2% of total genetic effects). There is no longitudinal pattern for this phenotype, however, because the geographic patterns appear to compensate for each other in a pattern suggestive of stabilizing selection.Author Summary DNA methylation is a major component of transposon silencing, and essential for genomic integrity. Recent studies revealed large-scale geographic variation as well as the existence of major trans-acting polymorphisms that partly explained this variation. In this study, we re-analyze previously published data (The 1001 Epigenomes), focusing on de novo DNA methylation patterns of individual TEs and TE families rather than on genome-wide averages (as was done in previous studies). GWAS of the patterns reveals the underlying regulatory networks, and allowed us to comprehensively characterize trans-regulation of de novo DNA methylation and its role in the striking geographic pattern for this phenotype.