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Genomic Error-Correcting Codes in the Living World

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Abstract

This paper is intended to complement our previous works on the necessary existence of error-correcting codes endowing genomes with the ability of being regenerated, not merely copied. It sketchily recalls some fundamental definitions and results of information theory and error-correcting codes; provides an overview of our research; shows that the disjunction of replication and regeneration enlightens the divide between germinal and somatic cells; suggests that some phenomena referred to as epigenetic may possibly find an explanation within the framework of error-correcting codes; points out some difficulties, especially those related to sexual reproduction; criticizes the template-replication paradigm, and prompts geneticists to become familiar with information theory.

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Notes

  1. An error-correcting code is best described as a set of words. In biology the word ‘code’ generally refers to an encoding rule, e.g., the genetic code. We shall see later that an error-correcting code can be generated by an encoding rule.

References

  • Audit, B., Vaillant, C., Arneodo, A., d’Aubenton-Carafa, Y., & Thermes, C. (2002). Long-range correlation between DNA bending sites: Relation to the structure and dynamics of nucleosomes. Journal of Molecular Biology, 316, 903–918.

    Article  PubMed  CAS  Google Scholar 

  • Barbieri, M. (2003). The organic codes. Cambridge University Press.

  • Battail, G. (1998). A conceptual framework for understanding turbo-codes. IEEE Journal Select Areas Communication, 16, 245–254, Feb.

    Article  Google Scholar 

  • Battail, G. (2006a). Error-correcting codes and genetics. tripleC, 4(2), 217–229. http://triplec.uti.at.

    Google Scholar 

  • Battail, G. (2006b) Should genetics get an information-theoretic education? IEEE Engineering in Medicine and Biology Magazine, 25(1), 34–45, Jan.–Feb.

    Article  PubMed  Google Scholar 

  • Battail, G. (2007a). Information theory and error-correcting codes in genetics and biological evolution. In M. Barbieri (Ed.), Introduction to Biosemiotics (pp. 299–345). Springer.

  • Battail, G. (2007b). Impact of information theory on the fundamentals of genetics. In G. Witzany (Ed.), Biosemiotics in transdisciplinary contexts. Umweb, Helsinki.

  • Berrou C., & Glavieux, A. (1996). Near optimum error correcting coding and decoding: Turbo codes. IEEE Transaction on Communications, 44, 1261–1271, Oct.

    Article  Google Scholar 

  • Berrou, C., Glavieux, A., & Thitimajshima, P. (1993). Near Shannon limit error-correcting coding and decoding: Turbo-codes. In Proc. ICC’93 (pp. 1064–1070).

  • Forsdyke, D. R. (2006). Evolutionary bioinformatics. Springer.

  • Guizzo, E. (2004). Closing in on the perfect code. IEEE Spectrum, 41(3), 28–34, (INT), March.

    Article  Google Scholar 

  • Kondrashov, A. S. (2003) Direct estimate of human per nucleotide mutation rate at 20 loci causing Mendelian diseases. Human Mutation, 21(1), 12–27, Jan.

    Article  PubMed  CAS  Google Scholar 

  • Mantegna, R. N., Buldyrev, S. V., Goldberger, A. L., Havlin, S., Peng, C.-K., Simons, S., et al. (1994). Linguistic features of noncoding DNA sequences. Physical Review Letter, 73, 3169–3172.

    Article  CAS  Google Scholar 

  • Moher, B. (2007). Spring theory. Nature, 448(7157), 984–986, Aug. 30.

    Article  Google Scholar 

  • Nachman, M. W. (2004). Haldane and the first estimates of the human mutation rate. Journal of Genetics, 83(3), 231–233, Dec.

    Article  PubMed  Google Scholar 

  • Pembrey, M., Bygren, L. O., et al. (2006). Sex-specific, male-line transgenerational responses in humans. European Journal of Human Genetics, 14, 156–166.

    Article  Google Scholar 

  • Searls, D. B. (2002). The language of genes. Nature, 420(6912), 211–217, Nov. 14.

    Article  PubMed  CAS  Google Scholar 

  • Shannon, C. E. (1948). A mathematical theory of communication. BSTJ, 27, 379–457, 623–656, July and Oct.

    Google Scholar 

  • Voss, R. F. (1992). Evolution of long-range fractal correlation and 1/f noise in DNA base sequences. Physical Review Letter, 68, 3805–3808, June.

    Article  CAS  Google Scholar 

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Acknowledgements

The author is deeply indebted to Prof. Mark E. Samuels of the University of Montréal for helpful comments on a draft version of this paper, as well as for having provided relevant references. He is also very grateful to the two referees whose reviews were both positive and critical enough to prompt significant improvements.

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Correspondence to Gérard Battail.

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Parts of this material have been presented at the 7-th Biosemiotics Gathering, Groningen, The Netherlands, 6–9 June 2007.

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Battail, G. Genomic Error-Correcting Codes in the Living World. Biosemiotics 1, 221–238 (2008). https://doi.org/10.1007/s12304-008-9019-z

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  • DOI: https://doi.org/10.1007/s12304-008-9019-z

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