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March 29, 20260 citationsOpen Access

CER: A microbiome-relay model for cross-kingdom RNA signalling and seed-stage epigenetic modulation in plants

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PKPiotr KukierMNMartin Noirmont

Key Points

  • The central aim is to explore RNA communication between mammals and plants through the soil microbiome and its implications for plant epigenetics.
  • Introduces the Cross Epigenetic Recycling (CER) hypothesis.
  • Tests predictions using apomictic Taraxacum officinale.
  • Employs techniques such as sRNA-seq, ATAC-seq, UPLC-MS metabolomics, and rhizosphere microbiome sequencing.
  • Focuses on the role of Pseudomonas spp. in RNA signal transmission.
  • Confirms bidirectional RNA transfer between mammalian cells and bacteria.
  • Establishes a relay model where microbial processing can influence plant epigenetics.
  • Highlights the role of the seed stage in RNA-directed DNA methylation.

Abstract

In this article, we present the Cross Epigenetic Recycling (CER) hypothesis, which postulates a microbiome-based channel for RNA information transfer between mammals and plants via the soil. The central novelty is the relay model: miRNAs from mammalian waste-derived extracellular vesicles (EVs) enter the soil and are taken up by rhizosphere bacteria - particularly Pseudomonas spp. with a documented OMV/sRNA system - which repackage and retransmit the signal to plant root cells via outer membrane vesicles (OMVs). The model relies exclusively on biologically documented intermediate steps, each with at least one clear precedent in the literature. The proposed mechanistic window is the seed stage: the plant embryo exhibits the highest RNA-directed DNA methylation (RdDM) activity of any plant tissue, and RDR2-dependent amplification can fix exogenous RNA signals as permanent chromatin marks. Recent studies confirm bidirectional RNA transfer between mammalian cells and bacteria via EVs (Gröger et al., 2026) and between bacteria such as e.g. Pseudomonas and plants (Ravet et al., 2025), collectively strengthening the biological realism of the relay model. Additionally, we propose five testable predictions, including a negative control, an experimental design using apomictic Taraxacum officinale, incorporating sRNA-seq, ATAC-seq, UPLC-MS metabolomics, and rhizosphere microbiome sequencing, to test the CER model and explore its potential for non-GMO precision RNA agriculture.

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Cite This Study

Kukier et al. (2026) studied this question.

synapsesocial.com/papers/69c8c35cde0f0f753b39e113https://doi.org/10.5281/zenodo.19259742
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