Document Detail


Statistical limitations on molecular evolution.
MedLine Citation:
PMID:  12023805     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Complexity of functions evolving in an evolution process are expected to be limited by the time length of an evolution process among other factors. This paper outlines a general method of deriving function-complexity limitations based on mathematical statistics and independent from details of a biological or genetic mechanism of the evolution of the function. Limitations on the emergence of life are derived, these limitations indicate a possibility of a very fast evolution and are consistent with "RNA world" hypothesis. The discussed method is general and can be used to characterize evolution of more specific biological organism functions and relate functions to genetic structures. The derived general limitations indicate that a co-evolution of multiple functions and species could be a slow process, whereas an evolution of a specific function might proceed very fast, so that no trace of intermediate forms (species) is preserved in fossil records of phenotype or DNA structure; this is consistent with a picture of "punctuated equilibrium".
Authors:
Leonid I Perlovsky
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Journal of biomolecular structure & dynamics     Volume:  19     ISSN:  0739-1102     ISO Abbreviation:  J. Biomol. Struct. Dyn.     Publication Date:  2002 Jun 
Date Detail:
Created Date:  2002-05-23     Completed Date:  2003-08-19     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  8404176     Medline TA:  J Biomol Struct Dyn     Country:  United States    
Other Details:
Languages:  eng     Pagination:  1031-43     Citation Subset:  IM    
Affiliation:
Air Force Research Lab. 80 Scott Road, Hanscom AFB, MA 01731, USA. leonid.perlovsky@hanscom.af.mil
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MeSH Terms
Descriptor/Qualifier:
Biogenesis
Data Interpretation, Statistical*
Evolution, Molecular*
Models, Biological
RNA
Chemical
Reg. No./Substance:
63231-63-0/RNA

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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