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Updated: Jun 10, 2025

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De novo Identification of Actively Translated Open Reading Frames with Ribosome Profiling Data
Published on: February 18, 2022
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The Ribosomal Operon Database: A Full-Length rDNA Operon Database Derived From Genome Assemblies
Anders K Krabberød1, Embla Stokke1, Ella Thoen1
1Department of Biosciences, Section for Genetics and Evolutionary Biology, University of Oslo, Oslo, Norway.
Molecular Ecology Resources
|October 21, 2024
Summary
A new Ribosomal Operon Database (ROD) provides full-length eukaryotic rDNA operons for advanced phylogenetic studies. This resource addresses the need for longer DNA sequences driven by new sequencing technologies.
Area of Science:
- Genomics
- Bioinformatics
- Molecular Biology
Background:
- Current rDNA databases focus on short DNA markers, limiting phylogenetic resolution in environmental sequencing.
- Advances in long-read DNA sequencing necessitate longer rDNA reference sequences for improved phylogenetic analysis.
Purpose of the Study:
- To introduce the Ribosomal Operon Database (ROD), a novel resource of eukaryotic full-length rDNA operons.
- To provide researchers with comprehensive, long-read rDNA sequences for enhanced phylogenetic studies.
Main Methods:
- Collected full-length rDNA operons from publicly available eukaryotic genome assemblies in NCBI.
- Detected and analyzed operon presence, copy number, and variant clustering across diverse eukaryotic genomes.
- Evaluated the taxonomic resolution of different rDNA regions within full-length operons.
Main Results:
- Full-length rDNA operons were found in 34.1% of examined eukaryotic genomes.
- Significant intragenomic operon variability and extensive length variation (4136–16,463 bp) were observed.
- The 18S, V4, and V9 regions showed the highest conservation, offering valuable taxonomic resolution.
Conclusions:
- The ROD database successfully compiles eukaryotic full-length rDNA operons, supporting advanced phylogenetic research.
- The database will be regularly updated to incorporate new data and expand its utility.
- Understanding operon variability and length is crucial for mitigating PCR bias and interpreting phylogenetic data.
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