Document Detail

Random models of Menzerath-Altmann law in genomes.
MedLine Citation:
PMID:  22197514     Owner:  NLM     Status:  MEDLINE    
Recently, a random breakage model has been proposed to explain the negative correlation between mean chromosome length and chromosome number that is found in many groups of species and is consistent with Menzerath-Altmann law, a statistical law that defines the dependency between the mean size of the whole and the number of parts in quantitative linguistics. Here, the central assumption of the model, namely that genome size is independent from chromosome number is reviewed. This assumption is shown to be unrealistic from the perspective of chromosome structure and the statistical analysis of real genomes. A general class of random models, including that random breakage model, is analyzed. For any model within this class, a power law with an exponent of -1 is predicted for the expectation of the mean chromosome size as a function of chromosome length, a functional dependency that is not supported by real genomes. The random breakage and variants keeping genome size and chromosome number independent raise no serious objection to the relevance of correlations consistent with Menzerath-Altmann law across taxonomic groups and the possibility of a connection between human language and genomes through that law.
Jaume Baixeries; Antoni Hernández-Fernández; Ramon Ferrer-I-Cancho
Related Documents :
17271414 - Development of the walking support robot with the weight bearing mechanism supporting i...
11804094 - Protozoan predation as a mechanism for the removal of cryptosporidium oocysts from wast...
19205744 - Plc1p is required for proper chromatin structure and activity of the kinetochore in sac...
10780704 - Evidence that kinetochore fibre microtubules shorten predominantly at the pole in anaph...
9734354 - Clb5-dependent activation of late replication origins in s. cerevisiae.
123634 - Ultraviolet-inactivation of conidia from heterokaryons of neurospora crassa containing ...
Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't     Date:  2011-12-16
Journal Detail:
Title:  Bio Systems     Volume:  107     ISSN:  1872-8324     ISO Abbreviation:  BioSystems     Publication Date:  2012 Mar 
Date Detail:
Created Date:  2012-02-08     Completed Date:  2012-05-29     Revised Date:  2013-05-03    
Medline Journal Info:
Nlm Unique ID:  0430773     Medline TA:  Biosystems     Country:  Ireland    
Other Details:
Languages:  eng     Pagination:  167-73     Citation Subset:  IM    
Copyright Information:
Copyright © 2011 Elsevier Ireland Ltd. All rights reserved.
Complexity and Quantitative Linguistics Lab, Departament de Llenguatges i Sistemes Informàtics, LARCA Research Group, Universitat Politècnica de Catalunya, Campus Nord, Edifici Omega, Barcelona (Catalonia), Spain.
Export Citation:
APA/MLA Format     Download EndNote     Download BibTex
MeSH Terms
Chromosome Breakage*
Evolution, Molecular*
Genome Size*
Models, Genetic*
Plants / genetics
Erratum In:
Biosystems. 2013 Mar;111(3):216-7

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

Previous Document:  Environmental and biological monitoring of arsenic in outdoor workers exposed to urban air pollutant...
Next Document:  Modifications of the input currents on VTA dopamine neurons following acute versus chronic cocaine e...