Maintaining transcriptome solubility constrains mRNA sequence composition

• 成果类型: Article
• 署名作者: Todisco, Marco; Ausler, Christalyn; Jain, Ankur
• 刊物名称: PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
• ISSN/ISSBN: 0027-8424; 1091-6490
• DOI: 10.1073/pnas.2622980123
• 发表日期: 2026-09-22
• 页码: e2622980123
• 关键词: RNA-RNA interactions; biomolecular condensates; RNA aggregation; transcriptome dynamics; molecular evolution; FOLDING FREE-ENERGIES; secondary structure; REVEALS PRINCIPLES; escherichia-coli; EXCLUDED-VOLUME; prediction; regions; DUPLEX; MODEL

摘要

RNA is built from a four-nucleotide alphabet. Complementary sequences inevitably arise, creating pervasive opportunities for promiscuous RNA-RNA interactions. Here, we show that this chemistry makes the transcriptome intrinsically prone to self-association. We simulated the simultaneous interactions of similar to 7,500 mRNAs representing the Escherichia coli transcriptome at physiological concentrations. These large-scale simulations predict widespread, dynamic clustering driven by RNA alone and organized by long, multivalent transcripts. Purified mRNA recapitulates this behavior in vitro, with aggregate composition mirroring model predictions. Strikingly, native mRNA sequences are markedly less prone to self-association than matched randomized controls: They fold more stably, expose shorter single-stranded regions, and form weaker intermolecular contacts. Similar signatures are observed in abundant human mRNAs, suggesting that evolution has shaped coding sequences to minimize self-association. These findings identify transcriptome solubility as an unrecognized constraint on mRNA sequence evolution and provide a framework for understanding how cells keep their transcriptomes dispersed and functional.