Mutation rules and the evolution of sparseness and modularity in biological systems.

Biological systems exhibit two structural features on many levels of organization: sparseness, in which only a small fraction of possible interactions between components actually occur; and modularity--the near decomposability of the system into modules with distinct functionality. Recent work sugge...

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Autores principales: Tamar Friedlander, Avraham E Mayo, Tsvi Tlusty, Uri Alon
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Publicado: Public Library of Science (PLoS) 2013
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spelling oai:doaj.org-article:fcf6b25a9c9e4f6e88a42192f582625a2021-11-18T09:01:00ZMutation rules and the evolution of sparseness and modularity in biological systems.1932-620310.1371/journal.pone.0070444https://doaj.org/article/fcf6b25a9c9e4f6e88a42192f582625a2013-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/23936433/pdf/?tool=EBIhttps://doaj.org/toc/1932-6203Biological systems exhibit two structural features on many levels of organization: sparseness, in which only a small fraction of possible interactions between components actually occur; and modularity--the near decomposability of the system into modules with distinct functionality. Recent work suggests that modularity can evolve in a variety of circumstances, including goals that vary in time such that they share the same subgoals (modularly varying goals), or when connections are costly. Here, we studied the origin of modularity and sparseness focusing on the nature of the mutation process, rather than on connection cost or variations in the goal. We use simulations of evolution with different mutation rules. We found that commonly used sum-rule mutations, in which interactions are mutated by adding random numbers, do not lead to modularity or sparseness except for in special situations. In contrast, product-rule mutations in which interactions are mutated by multiplying by random numbers--a better model for the effects of biological mutations--led to sparseness naturally. When the goals of evolution are modular, in the sense that specific groups of inputs affect specific groups of outputs, product-rule mutations also lead to modular structure; sum-rule mutations do not. Product-rule mutations generate sparseness and modularity because they tend to reduce interactions, and to keep small interaction terms small.Tamar FriedlanderAvraham E MayoTsvi TlustyUri AlonPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 8, Iss 8, p e70444 (2013)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Tamar Friedlander
Avraham E Mayo
Tsvi Tlusty
Uri Alon
Mutation rules and the evolution of sparseness and modularity in biological systems.
description Biological systems exhibit two structural features on many levels of organization: sparseness, in which only a small fraction of possible interactions between components actually occur; and modularity--the near decomposability of the system into modules with distinct functionality. Recent work suggests that modularity can evolve in a variety of circumstances, including goals that vary in time such that they share the same subgoals (modularly varying goals), or when connections are costly. Here, we studied the origin of modularity and sparseness focusing on the nature of the mutation process, rather than on connection cost or variations in the goal. We use simulations of evolution with different mutation rules. We found that commonly used sum-rule mutations, in which interactions are mutated by adding random numbers, do not lead to modularity or sparseness except for in special situations. In contrast, product-rule mutations in which interactions are mutated by multiplying by random numbers--a better model for the effects of biological mutations--led to sparseness naturally. When the goals of evolution are modular, in the sense that specific groups of inputs affect specific groups of outputs, product-rule mutations also lead to modular structure; sum-rule mutations do not. Product-rule mutations generate sparseness and modularity because they tend to reduce interactions, and to keep small interaction terms small.
format article
author Tamar Friedlander
Avraham E Mayo
Tsvi Tlusty
Uri Alon
author_facet Tamar Friedlander
Avraham E Mayo
Tsvi Tlusty
Uri Alon
author_sort Tamar Friedlander
title Mutation rules and the evolution of sparseness and modularity in biological systems.
title_short Mutation rules and the evolution of sparseness and modularity in biological systems.
title_full Mutation rules and the evolution of sparseness and modularity in biological systems.
title_fullStr Mutation rules and the evolution of sparseness and modularity in biological systems.
title_full_unstemmed Mutation rules and the evolution of sparseness and modularity in biological systems.
title_sort mutation rules and the evolution of sparseness and modularity in biological systems.
publisher Public Library of Science (PLoS)
publishDate 2013
url https://doaj.org/article/fcf6b25a9c9e4f6e88a42192f582625a
work_keys_str_mv AT tamarfriedlander mutationrulesandtheevolutionofsparsenessandmodularityinbiologicalsystems
AT avrahamemayo mutationrulesandtheevolutionofsparsenessandmodularityinbiologicalsystems
AT tsvitlusty mutationrulesandtheevolutionofsparsenessandmodularityinbiologicalsystems
AT urialon mutationrulesandtheevolutionofsparsenessandmodularityinbiologicalsystems
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