Mining prokaryotic genomes for unknown amino acids: a stop-codon-based approach.

Access this Article

Search this Article

Abstract

[Background]Selenocysteine and pyrrolysine are the 21st and 22nd amino acids, which are genetically encoded by stop codons. Since a number of microbial genomes have been completely sequenced to date, it is tempting to ask whether the 23rd amino acid is left undiscovered in these genomes. Recently, a computational study addressed this question and reported that no tRNA gene for unknown amino acid was found in genome sequences available. However, performance of the tRNA prediction program on an unknown tRNA family, which may have atypical sequence and structure, is unclear, thereby rendering their result inconclusive. A protein-level study will provide independent insight into the novel amino acid. [Results]Assuming that the 23rd amino acid is also encoded by a stop codon, we systematically predicted proteins that contain stop-codon-encoded amino acids from 191 prokaryotic genomes. Since our prediction method relies only on the conservation patterns of primary sequences, it also provides an opportunity to search novel selenoproteins and other readthrough proteins. It successfully recovered many of currently known selenoproteins and pyrrolysine proteins. However, no promising candidate for the 23rd amino acid was detected, and only one novel selenoprotein was predicted. [Conclusion]Our result suggests that the unknown amino acid encoded by stop codons does not exist, or its phylogenetic distribution is rather limited, which is in agreement with the previous study on tRNA. The method described here can be used in future studies to explore novel readthrough events from complete genomes, which are rapidly growing.

Journal

  • BMC bioinformatics

    BMC bioinformatics (8), 2007-06-28

    BioMed Central Ltd.

Codes

  • NII Article ID (NAID)
    120004770237
  • NII NACSIS-CAT ID (NCID)
    AA12034719
  • Text Lang
    ENG
  • Article Type
    journal article
  • ISSN
    1471-2105
  • Data Source
    IR 
Page Top