Skip to main content

Identification of Small Non-coding RNAs in Bacterial Genome Annotation Using Databases and Computational Approaches

  • Conference paper
Advances in Computational Biology

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 232))

Abstract

RNA genes are unquestionable today, non-coding RNA is functional but its classification at the present is complex due to lack of computational tools. The vast progress in computer science for DNA and protein is not enough to resolve folding and function of RNA. Fortunately, computational tools for solving RNA concerns are in progress: web source as Centroid Homofold, CentroidFold (CBRC), Rfam (Sanger-HHMI, Janelia farm), sRNAdb (MGIL), RNApredator (Vienna RNA web server), TargetRNA2 (Wellesley College), Noncoding RNAdatabase (IBC), Mfold (CAS) and RNAcon (IMTC) are quickly supplying the bioinformatics gaps. In this work was used those tools to fill and appoint the intergenic annotation in the Leuconostoc mesenteroides bacterium, recently sequenced in 454 Roche. More than 2000 intergenic sequence were run on the mentioned tools. Various ncRNA were classified as Mir-(#)s, many T-Boxes, various L(#) leaders and some ones TPPs, yybp-ykoY and ykkC-yxkD, between others. Other interesting structures without matching in Rfam, ncRNA databases were annotated as hypothetical ncRNA.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Hamada, M., Sato, K., Kiryu, H., Mituyama, T., Asai, K.: Predictions of RNA secondary structure by combining homologous sequence information. Bioinformatics 25(12), i330–i338 (2009)

    Google Scholar 

  2. Hershberg, R., Altuvia, S., Margalit, H.: A survey of small RNA-encoding genes in Escherichia coli. Nucleic Acids Res. 31, 1813–1820 (2003)

    Article  Google Scholar 

  3. Tjaden, B., Goodwin, S.S., Opdyke, J.A., Guillier, M., Fu, D.X., Gottesman, S., Storz, G.: Target prediction for small, noncoding RNAs in bacteria. Nucleic Acids Res. 34, 2791–2802 (2006)

    Article  Google Scholar 

  4. Hébrard, M., Kröger, C., Srikumar, S., Colgan, A., Händler, K., Hintons, J.: RNAs and the virulence of Salmonella enterica serovar Typhimurium. RNA Biol. 9(4), 437–445 (2012)

    Article  Google Scholar 

  5. Venkova-Canova, T., Patek, M., Nesvera, J.: Control of rep gene expression in plasmid pGA1 from Corynebacterium glutamicum. J. Bacteriol. 185(8), 2402–2409 (2003)

    Article  Google Scholar 

  6. Tjaden, T.: Biocomputational Identification of Bacterial Small RNAs and Their Target Binding Sites. In: Mallick, B., Ghosh, Z. (eds.) Regulatory RNAs: Basics, Methods and Applications. Springer (2012)

    Google Scholar 

  7. Gottesman, S.: The small RNA regulators of Escherichia coli: roles and mechanisms. Annu. Rev. Microbiol., 58303–58328 (2004)

    Google Scholar 

  8. Storz, G., Gottesman, S.: Versatile roles of small RNA regulators in bacteria. In: Gesteland, R.F., Cech, T.R., Atkins, J.F. (eds.) The RNA World, 3rd edn., pp. 567–594. Cold Spring Harbor Laboratory Press, Cold Spring Harbor (2006) (2006

    Google Scholar 

  9. Rivas, E., Eddy, S.: The greater part of sRNAs known in bacteria, have been identified in Escherichia coli, which are conserved in closely related bacteria. Bioinformatics 16(7), 583–605 (2000)

    Article  Google Scholar 

  10. Amin, A.: A need for a “whole-istic functional genomics” approach in complex human diseases. Arthritis Res. Ther. 5, 76–79 (2003)

    Article  Google Scholar 

  11. Neuman, E., Gay, R.E., Gay, S., Müller-Ladner, U.: Functional genomics of fibroblasts. Curr. Opin. Rheumatol. 16, 238–245 (2004)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Mauricio Corredor .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer International Publishing Switzerland

About this paper

Cite this paper

Corredor, M., Murillo, O. (2014). Identification of Small Non-coding RNAs in Bacterial Genome Annotation Using Databases and Computational Approaches. In: Castillo, L., Cristancho, M., Isaza, G., Pinzón, A., Rodríguez, J. (eds) Advances in Computational Biology. Advances in Intelligent Systems and Computing, vol 232. Springer, Cham. https://doi.org/10.1007/978-3-319-01568-2_42

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-01568-2_42

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-01567-5

  • Online ISBN: 978-3-319-01568-2

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics