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oai:www.ideals.illinois.edu:2142/26089 2023-07-10 col_2142_5131 col_2142_8951 com_2142_5130 com_2142_8950 com_2142_150

Luthey-Schulten, Zaida A. Efron, Miles J. Wright, Daniel T. Gasser, Les Gasser, Les Renear, Allen H. 2011-08-25T22:12:33Z 2011-08-25T22:12:33Z 2011-08-25T22:12:33Z 2011-08 The informational properties of biological systems are the subject of much debate and research. I present a general argument in favor of the existence and central importance of information in organisms, followed by a case study of the genetic code (specifically, codon bias) and the translation system from the perspective of information. The codon biases of 831 Bacteria and Archeae are analyzed and modeled as points in a 64-dimensional statistical space. The major results are that (1) codon bias evolution does not follow canonical patterns, and (2) the use of coding space in organsims is a subset of the total possible coding space. These findings imply that codon bias is a unique adaptive mechanism that owes its existence to organisms' use of information in representing genes, and that there is a particularly biological character to the resulting biased coding and information use. Item withdrawn by Mark Zulauf (zulauf@illinois.edu) on 2011-07-11T17:29:07Z Item was in collections: University of Illinois Theses & Dissertations (ID: 1) No. of bitstreams: 2 0_wright_daniel_diss_source.zip: 9278099 bytes, checksum: b18efe72b5fcf653a4bf4d2e8cd1f9b1 (MD5) wright_daniel.pdf: 2238891 bytes, checksum: 264a02c435e04e8335227c77f4b5a6a6 (MD5) Made available in DSpace on 2011-08-25T22:12:33Z (GMT). No. of bitstreams: 3 wright_daniel.pdf: 2238891 bytes, checksum: 264a02c435e04e8335227c77f4b5a6a6 (MD5) license.txt: 4063 bytes, checksum: 088bc2ae1aa9aa7649e49d190cc5684a (MD5) 0_wright_daniel_diss_source.zip: 9278099 bytes, checksum: b18efe72b5fcf653a4bf4d2e8cd1f9b1 (MD5) http://hdl.handle.net/2142/26089 en Copyright 2011 by Daniel T. Wright. All rights reserved. Information science Philosophy of information Evolution Genetic code Codon bias Biological information Information and the evolution of codon bias Library & Information Science 1992 Library & Information Science 0370 University of Illinois at Urbana-Champaign Dissertation Ph.D. PHD:Library & Infor Sci -UIUC 10KS0370PHD