ArticleNucleic acids research2007
In silico detection of tRNA sequence features characteristic to aminoacyl-tRNA synthetase class membership.
Article in Nucleic acids research, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- The tRNA identity landscape for aminoacylation and beyond.Nucleic acids research · 2023Review
- Neurodegenerative disorder and diffuse brain calcifications due toClinical case reports · 2022Article
- Hierarchical groove discrimination by Class I and II aminoacyl-tRNA synthetases reveals a palimpsest of the operational RNA code in the tRNA acceptor-stem bases.Nucleic acids research · 2018Article
- Identifying the ligated amino acid of archaeal tRNAs based on positions outside the anticodon.RNA (New York, N.Y.) · 2016Article
- Aminoacyl-tRNA Synthetases in the Bacterial World.EcoSal Plus · 2016Review
- Fitness Landscapes of Functional RNAs.Life (Basel, Switzerland) · 2015Review
- Does the genetic code have a eukaryotic origin?Genomics, proteomics & bioinformatics · 2013Article
- Mapping hidden potential identity elements by computing the average discriminating power of individual tRNA positions.DNA research : an international journal for rapid publication of reports on genes and genomes · 2012Article
- Undetected antisense tRNAs in mitochondrial genomes?Biology direct · 2010Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Aminoacyl tRNA synthetases (aaRS) are grouped into Class I and II based on primary and tertiary structure and enzyme properties suggesting two independent phylogenetic lineages. Analogously, tRNA molecules can also form two respective classes, based on the class membership of their corresponding aaRS. Although some aaRS-tRNA interactions are not extremely specific and require editing mechanisms to avoid misaminoacylation, most aaRS-tRNA interactions are rather stereospecific. Thus, class-specific aaRS features could be mirrored by class-specific tRNA features. However, previous investigations failed to detect conserved class-specific nucleotides. Here we introduce a discrete mathematical approach that evaluates not only class-specific 'strictly present', but also 'strictly absent' nucleotides. The disjoint subsets of these elements compose a unique partition, named extended consensus partition (ECP). By analyzing the ECP for both Class I and II tDNA sets from 50 (13 archaeal, 30 bacterial and 7 eukaryotic) species, we could demonstrate that class-specific tRNA sequence features do exist, although not in terms of strictly conserved nucleotides as it had previously been anticipated. This finding demonstrates that important information was hidden in tRNA sequences inaccessible for traditional statistical methods. The ECP analysis might contribute to the understanding of tRNA evolution and could enrich the sequence analysis tool repertoire.
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