bioRxivPlant BiologyPreprint
Elevated CO2 Reshapes the 3D Chromatin Landscape of Arabidopsis thaliana
Scott A. LewisiD, Mao LiiD, Kaushik PandaiD, Alex HarkessiD, R. Keith SlotkiniD, Blake C. MeyersiD
Abstract
Atmospheric CO2 levels are rising rapidly, yet how plants respond at the genomic level remains poorly understood. The three-dimensional (3D) organization of chromatin in the nucleus is a key regulator of gene expression and environmental response, and changes in chromatin architecture can be transmitted across generations through epigenetic mechanisms. Here, we report that elevated CO2 is associated with broad 3D chromatin reorganization in Arabidopsis thaliana, spanning scales from chromosome-wide compartment identity to kilobase-resolution Local Chromatin Domains (LCDs) and LCD-Associated Loops (LALs). Using chromatin conformation capture and sequencing (Hi-C) across four mutant backgrounds, we show that these changes exhibit intergenerational persistence in the self-fertilized progeny of plants grown at elevated CO2, and that this persistence is sensitive to the Pol V branch of the RNA-directed DNA Methylation (RdDM) pathway rather than to upstream small RNA biogenesis. At kilobase resolution, we annotated 2,279 LCDs whose borders are enriched for transposable element loci occupied by the chromatin-silencing members Pol V and LHP1, and near a third of LCD borders are LALs. Elevated CO2 is associated with LAL attenuation and altered transcript abundance at LCD borders marked by H3K27me3, implicating coordinated RdDM and Polycomb group (PcG) activity in the chromatin response to elevated CO2. Integrated transcriptome and DNA methylation analysis across all five genetic backgrounds revealed widespread changes in gene and transposable element abundance. These findings support a model in which CO2-associated chromatin reorganization confers transcriptional plasticity through persistent chromatin states shaped by the RdDM and PcG pathways.
- organism: Arabidopsis
- assay: ChIP-seq
- assay: Hi-C
- research focus: chromatin & epigenetic regulation
- approach: statistical model
- Citations
- 0
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