Search bioRxiv⌕ Search

bioRxiv · 10.64898/2025.12.02.691879

Base Composition Influences the Position andPrecision of RNA Polymerase II Disassociation inBasal and Perturbed Conditions.

Abstract

RNA Polymerase II (Pol II) transcribes all protein-coding and many non-protein coding genes in the genome. Pol II transcription termination is crucial for mRNA maturation and, when disrupted, can lead to altered mRNA processing and mRNA export. Termination involves two intertwined processes: pre-mRNA cleavage and Pol II release from the DNA (disassociation). Despite its importance, the exact mechanisms underlying Pol II disassociation from the DNA remain poorly understood. Moreover, under certain cellular stress conditions, there is a partial failure of cleavage, leading to a shift of the position of disassociation further downstream, a phenomenon known as run-on transcription. We performed the first-ever systematic analysis of Pol II termination across cell types and species and provide novel insights into the mechanism of disassociation. Using a probabilistic mixture model to quantify Poll II dynamics across an entire gene body from nascent RNA sequencing data, we discovered that genes have two types of conserved regions near the disassociation site: one characterized by a T-rich region upstream of disassociation, and another characterized by a GC-rich region surrounding disassociation. Strikingly, the GC-rich disassociation regions have more accessible chromatin and higher levels of phospho-threonine 4 on the CTD of Pol II. Additionally, we find that upstream T-rich genes are preferentially affected by perturbations that alter disassociation, including heat-shock, viral infection, kinase inhibition, and arsenic treatment. Thus, our work has determined there are two types of Pol II disassociation regions, which are differentially affected by perturbation of cellular homeostasis.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Barone, G. E. F., Stanley, J. T., Ramirez, D., Cardiello, J. F., Ripin, N., Parker, R., Allen, M. A., Dowell, R. D.. 2025-12-03. Base Composition Influences the Position andPrecision of RNA Polymerase II Disassociation inBasal and Perturbed Conditions.. https://doi.org/10.64898/2025.12.02.691879

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related preprints

RNA isoform-resolved multiplexed sequencing with bioorthogonal barcoding

RNA isoform dysregulation drives disease pathogenesis and is the target of FDA-approved splice-switching therapeutics. However, multiplexed sequencing methods discard splice junction information because only 3' termini are barcoded and counted. Here, we repurpose acylation and click chemistries to conjugate bioorthogonal barcodes (bobcodes) directly onto multiple internal positions along cellular RNAs. Bobcoded RNAs from multiple samples are pooled for multiplexed cDNA synthesis, during which reverse transcriptase switches from each RNA template onto its tethered bobcode with greater than 99% accuracy in species mixing experiments. Bobcode attachment intervals set cDNA insert sizes without a library fragmentation step, and priming with poly(dT) or random hexamers selects between 3'-end counting and full-length isoform capture. A bioorthogonal barcode-sequencing (BOB-seq v0.1) drug screen identifies transcriptome-wide on- and off-target RNA splicing effects and outperforms existing multiplexing RNA sequencing methods in workflow simplicity, sample-to-sample variability, and barcoding accuracy. Bobcodes add isoform resolution to scalable multiplexed RNA sequencing.

genomics↗

Integrative Nanopore and Illumina sequencing reveals age-associated tRNA modification and CCA-tail dynamics in yeast

Aging is characterized by a progressive loss of proteostasis. Transfer RNAs (tRNAs) are essential regulators of translation, yet their dynamics during aging remain poorly understood due to challenges in sequencing highly modified RNAs. Here we present a benchmarked Nanopore direct RNA sequencing (RNA004 chemistry) resource that profiles the Saccharomyces cerevisiae tRNAome during replicative aging at single-molecule resolution. Using in vitro transcribed tRNA controls, we establish modification detection thresholds and validate key findings with orthogonal Illumina sequencing. While overall tRNA abundance remains largely stable, our resource reveals age-associated terminal A cleavage at the 3' CCA tail of mature tRNAs, targeted T-loop and anticodon modification changes, and single-molecule evidence of modification co-occurrence. This dataset provides a resource for exploring tRNA regulation, translation fidelity, and longevity.

genomics↗

A hydrogen-producing mitochondrion in an anaerobic eukaryotrophic rhizarian

Diverse eukaryotes thrive under low oxygen conditions, in part through highly modified mitochondrion-related organelles (MROs) that use alternate metabolic pathways to support ATP production and cofactor recycling. Anaerobic lifestyles have evolved repeatedly across the eukaryotic tree of life, each providing an independent opportunity to understand how eukaryotes adapt to life in low oxygen conditions. Here, we use single-cell transcriptomics to reconstruct the MRO metabolism of PCE SSF, a benthic eukaryotrophic flagellate and the first cultivated representative of Novel Clade 12 (NC12; Rhizaria), an independently anaerobic rhizarian lineage. PCE SSF possesses an anaerobic hydrogen-producing mitochondrion capable of hydrogenosome-type substrate-level phosphorylation. It also retains a nearly complete but likely branched tricarboxylic acid pathway that lacks citrate synthase and malate dehydrogenase. The function of citrate synthase may instead be fulfilled by the typically cytosolic ATP citrate lyase, previously reported in this context only in the anaerobic cercozoan, Brevimastigomonas motovehiculus. Unlike B. motovehiculus, however, PCE SSF retains only Complex II and the NuoE/NuoF subunits of the electron transport chain and lacks a mitochondrial genome. Together, these features indicate an atypical and reduced mitochondrial metabolism, highlighting the diversity of evolutionary solutions to anaerobic energy metabolism in eukaryotes.

genomics↗