Searching for RNA genes using base-composition statistics.

Peter Schattner

doi:10.1093/nar/30.9.2076

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Searching for RNA genes using base-composition statistics.

Peter Schattner

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Abstract

The hypothesis that genomic regions rich in non-protein-coding RNAs (ncRNAs) can be identified using local variations in single-base and dinucleotide statistics has been investigated. (G+C)%, (G-C)% difference, (A-T)% difference and dinucleotide-frequency statistics were compared among seven classes of ncRNAs and three genomes. Significant variations were observed in (G+C)% and, in Methanococcus jannaschii, in the frequency of the dinucleotide 'CG'. Screening programs based on these two base-composition statistics were developed. With (G+C)% screening alone, a 1% fraction of the M.jannaschii genome containing all 44 known transfer RNAs, ribosomal RNAs and signal recognition particle RNAs could be identified. When (G+C)% combined with CG dinucleotide-frequency screening was used, 43 of the 44 known M.jannaschii structural ncRNAs were again identified, while the number of presumably false hits overlapping a known or putative protein-coding gene was reduced from 15 to 6. In addition, 19 candidate ncRNAs were identified including one with significant homology to several known archaeal RNaseP RNAs.

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Animals Base Composition Base Sequence Caenorhabditis elegans Feasibility Studies GC Rich Sequence Genetic Variation Genome Methanococcus Models, Statistical Molecular Sequence Data Plasmodium falciparum RNA, Ribosomal RNA, Transfer RNA, Untranslated Sequence Alignment Comparative Study Journal Article

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Peter Schattner. 2002-05-01. Searching for RNA genes using base-composition statistics.. https://doi.org/10.1093/nar%2F30.9.2076

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