Development of DNA methylation-based epigenetic age predictors in loblolly pine (Pinus taeda).

ABSTRACT: Biological ageing is connected to life history variation across ecological scales and informs a basic understanding of age-related declines in organismal function. Altered DNA methylation dynamics are a conserved aspect of biological ageing and have recently been modelled to predict chronological age among vertebrate species. In addition to their utility in estimating individual age, differences between chronological and predicted ages arise due to acceleration or deceleration of epigenetic ageing, and these discrepancies are linked to disease risk and multiple life history traits. Although evidence suggests that patterns of DNA methylation can describe ageing in plants, predictions with epigenetic clocks have yet to be performed. Here, we resolve the DNA methylome across CpG, CHG, and CHH

SUBMITTER: Gardner ST 

PROVIDER: S-EPMC10087248 | biostudies-literature | 2023 Jan

REPOSITORIES: biostudies-literature