Skip to main content

Information is Specific to Life

  • Chapter
  • First Online:
  • 1285 Accesses

Abstract

It is argued in Chap. 9 that information is specific to life. The concept of ‘semantic feedback loops’ is first introduced in order to explain the onset of living structures and their conservation. The basic fact is that certain proteins act as enzymes which catalyze the operations which are needed for their own synthesis: transcription of DNA into messenger or premessenger RNA, splicing out the introns (in the case of eukaryotic cells) and translation as operated by the ribosome, i.e., synthesizing proteins under the control of messenger RNA. This can be interpreted as a set of interwoven feedback loops which all involve the genetic ‘code’ (or mapping). This set of loops acts as a trap since, once closed, it keeps its structure. If any of its parts fails, however, the whole system ceases operating. We refer to it as ‘semantic’ because the genetic mapping consists of a set of semantic rules. Hence, the set of feedback loops implements the semantics which enables the assembly of proteins (and more generally of phenotypes) in terms of the information that DNA bears. This shows how information, as an abstract fundamental entity, controls the assembly of physical structures. ‘Abstract’ should be understood here as opposed to physical, since assuming that information is physical leads to results which contradict its very definition. The set of semantic feedback loops, although each loop is closed, does not prevent the lengthening of genomes by horizontal genetic transfer, hence is compatible with evolution. The last section of this chapter examines the achievements of Nature as an engineer and pleads for a collaboration of engineers and biologists.

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

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   109.00
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD   109.99
Price excludes VAT (USA)
  • Durable hardcover 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

Learn about institutional subscriptions

Notes

  1. 1.

    Except for a few very old variants like that found in mitochondria.

  2. 2.

    The mechanisms which perform genome regeneration thanks to the genomic error-correcting codes have not yet been identified. However, all the functions of molecular biology need enzymes as catalysts; this one may safely be assumed not to be an exception.

  3. 3.

    Similarly to biology, the word ‘information’ is far from unusual in physical texts. What lacks is an adequate scientific concept of information.

  4. 4.

    Shannon ’s random coding alluded to in Sect. 5.4.2 may to some extent have been inspired by Darwin.

References

  • Avery, J. S. (2012). Information theory and evolution, 2nd edition. Singapore: World Scientific.

    Book  Google Scholar 

  • Barbieri, M. (2003). Organic codes. Cambridge: Cambridge University Press.

    Google Scholar 

  • Barbieri, M. (2008). Biosemiotics: A new understanding of life. Naturwissenschaften, 95, 577–599.

    Article  PubMed  CAS  Google Scholar 

  • Bar-Cohen, Y. (2005). Biomimetics: Biologically inspired technologies. Boca Raton: CRC Press.

    Book  Google Scholar 

  • Bar-Cohen, Y. (2011). Biomimetics: Nature based innovation. Boca Raton: CRC Press.

    Google Scholar 

  • Battail, G. (1997). Does information theory explain biological evolution? Europhysics letters, 40(3), 343–348.

    Article  CAS  Google Scholar 

  • Battail, G. (2009a). Applying semiotics and information theory to biology: A critical comparison. Biosemiotics, 2(3), 303–320. doi:10.1007/s12304-009-9062-4.

    Article  Google Scholar 

  • Battail, G. (2009b). Living versus inanimate: The information border. Biosemiotics, 2(3), 321–341. doi:10.1007/s12304-009-9059-z.

    Article  Google Scholar 

  • Battail, G. (2011). An answer to Schrödinger’s What is life? Biosemiotics, 4(1), 55–67. doi:10.1007/s12304-010-9102-0.

    Article  Google Scholar 

  • Benner, S. (2008). Biology from the bottom up. Nature, 452(7188), 692–694.

    Article  CAS  Google Scholar 

  • Benyus, J. M. (1997). Biomimicry: Innovation inspired by nature. New York: Harper-Collins.

    Google Scholar 

  • Dawkins, R. (1982). The extended phenotype. Oxford: Oxford University Press.

    Google Scholar 

  • Dawkins, R. (1991). The blind watchmaker, new edition. London: Penguin Books.

    Google Scholar 

  • Forsdyke, D. R. (1981). Are introns in-series error-detecting sequences? Journal of Theoretical Biology, 93, 861–866.

    Article  PubMed  CAS  Google Scholar 

  • Jacob, F. (1981). Le jeu des possibles. Paris: Fayard.

    Google Scholar 

  • Regis, E. (2008). What is life? Investigating the nature of life in the age of synthetic biology. New York: Farrar, Straus and Giroux.

    Google Scholar 

  • Schrödinger, E. (1943). In What is life? and mind and matter. London: Cambridge University Press (1967).

    Google Scholar 

  • Wills, C. (1989). The wisdom of the genes. New pathways in evolution. New York: Basic Books.

    Google Scholar 

  • Yockey, H. P. (2005). Information theory, evolution, and the origin of life. Cambridge: Cambridge University Press.

    Book  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Gérard Battail .

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer Science+Business Media Dordrecht

About this chapter

Cite this chapter

Battail, G. (2014). Information is Specific to Life. In: Information and Life. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-7040-9_9

Download citation

Publish with us

Policies and ethics