RNA-protein complexes as key regulators of plant secondary metabolism: Biophysical interactions and functional significance

RNA-protein complexes (RNPs) are central regulators of post-transcriptional gene expression and are increasingly implicated in controlling when, where and to what extent specialised (secondary) metabolic pathways operate in plants. Relative to transcription factor-centred regulation, RNPs can modify pathway output rapidly by modulating mRNA processing, stability, localisation and translation, thereby enabling plants to adjust metabolite production on developmentally and environmentally relevant timescales. Many regulatory RNPs assemble into membraneless biomolecular condensates (e.g., stress granules and processing bodies) via liquid-liquid phase separation (LLPS), providing reversible mechanisms to sequester, protect or degrade transcripts, including those encoding enzymes and regulators of specialised metabolism. In addition, small RNA-guided silencing complexes (e.g., AGO-containing RISC) form well-defined RNP modules that post-transcriptionally regulate transcription factors and biosynthetic genes involved in phenylpropanoid/flavonoid and other pathways. Here, we synthesise current evidence linking RNP biology to specialised metabolism, explicitly distinguishing mechanistic evidence (e.g., direct binding with functional perturbation) from associative evidence (e.g., co-localisation or proteomic enrichment). We also summarise experimental and computational approaches for mapping plant RNA-protein interactions, including key limitations (crosslinking bias, antibody specificity and contamination) and emerging tools (enhanced RNA interactome capture, proximity labelling and deep-learning-assisted binding prediction). Finally, we highlight evidence gaps in non-model medicinal plants and propose a framework that integrates spatiotemporal transcriptomics, structural biology and RNP-centred engineering to improve plant biofactories and stress-resilient phytochemical production.

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Publication Details

Journal
Biochemistry and Biophysics Reports
Published
2026-06-08
DOI
https://doi.org/10.1016/j.bbrep.2026.102664
Primary Topic
Plant nutrient uptake and metabolism
Type
article
Field-Weighted Citation Impact
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article

RNA-protein complexes as key regulators of plant secondary metabolism: Biophysical interactions and functional significance

Hope Onohuean, Melvin Nnaemeka Ugwu, Ibe Michael Usman, Hilal Ahmad Rather et al.
Biochemistry and Biophysics Reports
Plant nutrient uptake and metabolism
article

RNA-protein complexes as key regulators of plant secondary metabolism: Biophysical interactions and functional significance

Hope Onohuean, Melvin Nnaemeka Ugwu, Ibe Michael Usman, Hilal Ahmad Rather, Okechukwu Paul-Chima Ugwu
article en

Abstract

RNA-protein complexes (RNPs) are central regulators of post-transcriptional gene expression and are increasingly implicated in controlling when, where and to what extent specialised (secondary) metabolic pathways operate in plants. Relative to transcription factor-centred regulation, RNPs can modify pathway output rapidly by modulating mRNA processing, stability, localisation and translation, thereby enabling plants to adjust metabolite production on developmentally and environmentally relevant timescales. Many regulatory RNPs assemble into membraneless biomolecular condensates (e.g., stress granules and processing bodies) via liquid-liquid phase separation (LLPS), providing reversible mechanisms to sequester, protect or degrade transcripts, including those encoding enzymes and regulators of specialised metabolism. In addition, small RNA-guided silencing complexes (e.g., AGO-containing RISC) form well-defined RNP modules that post-transcriptionally regulate transcription factors and biosynthetic genes involved in phenylpropanoid/flavonoid and other pathways. Here, we synthesise current evidence linking RNP biology to specialised metabolism, explicitly distinguishing mechanistic evidence (e.g., direct binding with functional perturbation) from associative evidence (e.g., co-localisation or proteomic enrichment). We also summarise experimental and computational approaches for mapping plant RNA-protein interactions, including key limitations (crosslinking bias, antibody specificity and contamination) and emerging tools (enhanced RNA interactome capture, proximity labelling and deep-learning-assisted binding prediction). Finally, we highlight evidence gaps in non-model medicinal plants and propose a framework that integrates spatiotemporal transcriptomics, structural biology and RNP-centred engineering to improve plant biofactories and stress-resilient phytochemical production.

Biochemistry and Biophysics ReportsVol. 47
Enugu State University of Science and Technology (NG), Kampala International University (UG)
Zero hunger
Openalex Percentile: Top 7%
Plant nutrient uptake and metabolism
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