OTTR-seq profiling reveals dynamic tRNA modification landscapes across diverse archaeal species

Abstract Background Transfer RNA (tRNA) modifications are essential for structural integrity, decoding fidelity, and stress adaptation, yet their evolutionary dynamics remain poorly characterized in archaea. Here, we apply Ordered Two-Template Relay sequencing (OTTR-seq), a high-throughput approach that captures full-length tRNAs and modification-sensitive reverse transcription signatures, to systematically profile tRNA modification landscapes across diverse archaeal species. Results Across nine archaeal species spanning thermophilic, acidophilic, halophilic, and mesophilic environments, we identify position-specific and clade-dependent patterns of tRNA modifications. We detect coordinated and mutually exclusive methylation at acceptor stem positions 6 and 67 in hyperthermophiles, as well as clade-specific co-modification at positions 10 and 26, which are typically known as tRNA modification anti-determinants. Comparative analyses also reveal lineage-specific divergence in the domain architectures of tRNA methyltransferases, including Trm1, Trm10, Trm11, and Trm14, linking enzymatic evolution to substrate specificity. We further refine known identity elements, such as the G10oU25 pairing, and identify novel structural features that may facilitate or prevent modification. Conclusions These findings exemplify the co-evolution of tRNAs and their modifying enzymes, providing new insights into how archaea may fine-tune translation in extreme environments. The broad scope of data and comparative analyses establishes a multispecies framework for future biochemical, mechanistic, and predictive modeling efforts.

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Publication Details

Journal
Genome biology
Published
2026-06-18
DOI
https://doi.org/10.1186/s13059-026-04158-z
Primary Topic
RNA modifications and cancer
Type
article
Field-Weighted Citation Impact
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article

OTTR-seq profiling reveals dynamic tRNA modification landscapes across diverse archaeal species

Thomas J. Santangelo, Henry T. Moore, Todd M. Lowe, Jesse S. Leavitt
Genome biology
RNA modifications and cancer
article

OTTR-seq profiling reveals dynamic tRNA modification landscapes across diverse archaeal species

Thomas J. Santangelo, Henry T. Moore, Todd M. Lowe, Jesse S. Leavitt
article en

Abstract

Abstract Background Transfer RNA (tRNA) modifications are essential for structural integrity, decoding fidelity, and stress adaptation, yet their evolutionary dynamics remain poorly characterized in archaea. Here, we apply Ordered Two-Template Relay sequencing (OTTR-seq), a high-throughput approach that captures full-length tRNAs and modification-sensitive reverse transcription signatures, to systematically profile tRNA modification landscapes across diverse archaeal species. Results Across nine archaeal species spanning thermophilic, acidophilic, halophilic, and mesophilic environments, we identify position-specific and clade-dependent patterns of tRNA modifications. We detect coordinated and mutually exclusive methylation at acceptor stem positions 6 and 67 in hyperthermophiles, as well as clade-specific co-modification at positions 10 and 26, which are typically known as tRNA modification anti-determinants. Comparative analyses also reveal lineage-specific divergence in the domain architectures of tRNA methyltransferases, including Trm1, Trm10, Trm11, and Trm14, linking enzymatic evolution to substrate specificity. We further refine known identity elements, such as the G10oU25 pairing, and identify novel structural features that may facilitate or prevent modification. Conclusions These findings exemplify the co-evolution of tRNAs and their modifying enzymes, providing new insights into how archaea may fine-tune translation in extreme environments. The broad scope of data and comparative analyses establishes a multispecies framework for future biochemical, mechanistic, and predictive modeling efforts.

Genome biology
University of California, Santa Cruz (US), Colorado State University (US)
Life in Land
Openalex Percentile: Top 10%
RNA modifications and cancer
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