Population-level analysis reveals the widespread occurrence and phenotypic consequence of DNA methylation variation not tagged by genetic variation in maize

• Published in: Genome Biology Vol. 20; no. 1; p. 243
• Main Authors: Xu, Jing, Chen, Guo, Hermanson, Peter J, Xu, Qiang, Sun, Changshuo, Chen, Wenqing, Kan, Qiuxin, Li, Minqi, Crisp, Peter A, Yan, Jianbing, Li, Lin, Springer, Nathan M, Li, Qing
• Format: Journal Article
• Language: English
• Published: England BioMed Central 19-11-2019; BMC
• Subjects: DNA Methylation; Gene Expression; Genome, Plant; Genome-Wide Association Study; Maize; Phenotype; Phenotypic diversity; Polymorphism, Single Nucleotide; Zea mays - genetics; Zea mays - metabolism; Phenotypic diversity; DNA methylation; Maize; Gene expression
• ISSN: 1474-760X; 1474-7596; 1474-760X
• DOI: 10.1186/s13059-019-1859-0

DNA methylation can provide a source of heritable information that is sometimes entirely uncoupled from genetic variation. However, the extent of this uncoupling and the roles of DNA methylation in shaping diversity of both gene expression and phenotypes are hotly debated. Here, we investigate the genetic basis and biological functions of DNA methylation at a population scale in maize.
We perform targeted DNA methylation profiling for a diverse panel of 263 maize inbred genotypes. All genotypes show similar levels of DNA methylation globally, highlighting the importance of DNA methylation in maize development. Nevertheless, we identify more than 16,000 differentially methylated regions (DMRs) that are distributed across the 10 maize chromosomes. Genome-wide association analysis with high-density genetic markers reveals that over 60% of the DMRs are not tagged by SNPs, suggesting the presence of unique information in DMRs. Strong associations between DMRs and the expression of many genes are identified in both the leaf and kernel tissues, pointing to the biological significance of methylation variation. Association analysis with 986 metabolic traits suggests that DNA methylation is associated with phenotypic variation of 156 traits. There are some traits that only show significant associations with DMRs and not with SNPs.
These results suggest that DNA methylation can provide unique information to explain phenotypic variation in maize.