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Informational Structure of Agrobacterium Tumefaciens C58 Genome

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Book cover Life System Modeling and Simulation (LSMS 2007)

Part of the book series: Lecture Notes in Computer Science ((LNBI,volume 4689))

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Abstract

Base-base correlation (BBC) method, based on information theory, translates a DNA sequence into a 16-dimensional vector. It has proven quite effective in distinguishing various functional regions on one chromosome. In this study, we explore the potential use of distinguishing different chromosomes within one species, with particular emphasis on Agrobacterium tumefaciens strain C58. Our findings show that BBC method could effectively distinguish informational structure of Agrobacterium tumefaciens strain C58 genomes. In conclusion, BBC provides a new methodology in post-genome informatics and its applications could be further explored in the further.

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References

  1. Schieg, P., Herzel, H.: Periodicities of 10-11bp as indicators of the supercoiled state of genomic DNA. Journal of molecular biology 343(4), 891–901 (2004)

    Article  Google Scholar 

  2. Nikolaou, C., Almirantis, Y.: Word preference in the genomic text and genome evolution: different modes of n-tuplet usage in coding and noncoding sequences. Journal of molecular evolution 61(1), 23–35 (2005)

    Article  Google Scholar 

  3. Karlin, S., Burge, C.: Dinucleotide relative abundance extremes: a genomic signature. Trends Genet. 11(7), 283–290 (1995)

    Article  Google Scholar 

  4. Holste, D., Grosse, I., Beirer, S., Schieg, P., Herzel, H.: Repeats and correlations in human DNA sequences. Physical review 67(6 Pt 1), 061913 (2003)

    Google Scholar 

  5. Bush, E.C., Lahn, B.T.: The evolution of word composition in metazoan promoter sequence. PLoS computational biology 2(11), e150 (2006)

    Article  Google Scholar 

  6. Gentles, A.J., Karlin, S.: Genome-scale compositional comparisons in eukaryotes. Genome research 11(4), 540–546 (2001)

    Article  Google Scholar 

  7. Liu, Z.H., Jiao, D., Sun, X.: Classifying genomic sequences by sequence feature analysis. Genomics, proteomics & bioinformatics / Beijing Genomics Institute 3(4), 201–205 (2005)

    MATH  Google Scholar 

  8. Goodner, B., Hinkle, G., Gattung, S., Miller, N., Blanchard, M., Qurollo, B., Goldman, B.S., Cao, Y., Askenazi, M., Halling, C., et al.: Genome sequence of the plant pathogen and biotechnology agent Agrobacterium tumefaciens C58. Science 294(5550), 2323–2328 (2001)

    Article  Google Scholar 

  9. Wood, D.W., Setubal, J.C., Kaul, R., Monks, D.E., Kitajima, J.P., Okura, V.K., Zhou, Y., Chen, L., Wood, G.E., Almeida Jr., N.F.: The genome of the natural genetic engineer Agrobacterium tumefaciens C58. Science 294(5550), 2317–2323 (2001)

    Article  Google Scholar 

  10. Saitou, N., Nei, M.: The neighbor-joining method: a new method for reconstructing phylogenetic trees. Molecular biology and evolution 4(4), 406–425 (1987)

    Google Scholar 

  11. Studier, J.A., Keppler, K.J.: A note on the neighbor-joining algorithm of Saitou and Nei. Molecular biology and evolution 5(6), 729–731 (1988)

    Google Scholar 

  12. Gascuel, O.: BIONJ: an improved version of the NJ algorithm based on a simple model of sequence data. Molecular biology and evolution 14(7), 685–695 (1997)

    Google Scholar 

  13. Highton, R.: The relationship between the number of loci and the statistical support for the topology of UPGMA trees obtained from genetic distance data. Molecular phylogenetics and evolution 2(4), 337–343 (1993)

    Article  Google Scholar 

  14. Allardet-Servent, A., Michaux-Charachon, S., Jumas-Bilak, E., Karayan, L., Ramuz, M.: Presence of one linear and one circular chromosome in the Agrobacterium tumefaciens C58 genome. Journal of bacteriology 175(24), 7869–7874 (1993)

    Google Scholar 

  15. Goodner, B.W., Markelz, B.P., Flanagan, M.C., Crowell Jr., C.B., Racette, J.L., Schilling, B.A., Halfon, L.M., Mellors, J.S., Grabowski, G.: Combined genetic and physical map of the complex genome of Agrobacterium tumefaciens. Journal of bacteriology 181(17), 5160–5166 (1999)

    Google Scholar 

  16. Grosse, I., Herzel, H., Buldyrev, S.V., Stanley, H.E.: Species independence of mutual information in coding and noncoding DNA. Physical review 61(5 Pt B), 5624–5629 (2000)

    Google Scholar 

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Kang Li Xin Li George William Irwin Gusen He

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© 2007 Springer-Verlag Berlin Heidelberg

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Liu, Z., Sun, X. (2007). Informational Structure of Agrobacterium Tumefaciens C58 Genome. In: Li, K., Li, X., Irwin, G.W., He, G. (eds) Life System Modeling and Simulation. LSMS 2007. Lecture Notes in Computer Science(), vol 4689. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74771-0_18

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  • DOI: https://doi.org/10.1007/978-3-540-74771-0_18

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-74770-3

  • Online ISBN: 978-3-540-74771-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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