Criticality Is an Emergent Property of Genetic Networks that Exhibit Evolvability
- Publication Date
- September 06, 2012
- Journal
- PLOS Computational Biology
- Authors
- Christian Torres Sosa, Sui Huang & Maximino Aldana
- Volume
- 8
- Issue
- 9
- Pages
- e1002669
- DOI
- https://dx.plos.org/10.1371/journal.pcbi.1002669
- Publisher URL
- http://journals.plos.org/ploscompbiol/article?id=10.1371%2Fjournal.pcbi.1002669
- PubMed
- http://www.ncbi.nlm.nih.gov/pubmed/22969419
- PubMed Central
- http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3435273
- Europe PMC
- http://europepmc.org/abstract/MED/22969419
- Web of Science
- 000309510900012
- Scopus
- 84866931077
- Mendeley
- http://www.mendeley.com/research/criticality-emergent-property-genetic-networks-exhibit-evolvability
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CiteULike | Further Information
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Mendeley | Further Information
{"title"=>"Criticality Is an Emergent Property of Genetic Networks that Exhibit Evolvability", "type"=>"journal", "authors"=>[{"first_name"=>"Christian", "last_name"=>"Torres-Sosa", "scopus_author_id"=>"55370433100"}, {"first_name"=>"Sui", "last_name"=>"Huang", "scopus_author_id"=>"55553736375"}, {"first_name"=>"Maximino", "last_name"=>"Aldana", "scopus_author_id"=>"8418916400"}], "year"=>2012, "source"=>"PLoS Computational Biology", "identifiers"=>{"sgr"=>"84866931077", "doi"=>"10.1371/journal.pcbi.1002669", "pui"=>"365755962", "pmid"=>"22969419", "scopus"=>"2-s2.0-84866931077", "issn"=>"1553734X", "isbn"=>"1553-7358"}, "id"=>"d750fc8b-e1c0-3112-8661-67b2e300e21f", "abstract"=>"Accumulating experimental evidence suggests that the gene regulatory networks of living organisms operate in the critical phase, namely, at the transition between ordered and chaotic dynamics. Such critical dynamics of the network permits the coexistence of robustness and flexibility which are necessary to ensure homeostatic stability (of a given phenotype) while allowing for switching between multiple phenotypes (network states) as occurs in development and in response to environmental change. However, the mechanisms through which genetic networks evolve such critical behavior have remained elusive. Here we present an evolutionary model in which criticality naturally emerges from the need to balance between the two essential components of evolvability: phenotype conservation and phenotype innovation under mutations. We simulated the Darwinian evolution of random Boolean networks that mutate gene regulatory interactions and grow by gene duplication. The mutating networks were subjected to selection for networks that both (i) preserve all the already acquired phenotypes (dynamical attractor states) and (ii) generate new ones. Our results show that this interplay between extending the phenotypic landscape (innovation) while conserving the existing phenotypes (conservation) suffices to cause the evolution of all the networks in a population towards criticality. Furthermore, the networks produced by this evolutionary process exhibit structures with hubs (global regulators) similar to the observed topology of real gene regulatory networks. Thus, dynamical criticality and certain elementary topological properties of gene regulatory networks can emerge as a byproduct of the evolvability of the phenotypic landscape.", "link"=>"http://www.mendeley.com/research/criticality-emergent-property-genetic-networks-exhibit-evolvability", "reader_count"=>152, "reader_count_by_academic_status"=>{"Unspecified"=>1, "Professor > Associate Professor"=>6, "Researcher"=>54, "Student > Doctoral Student"=>7, "Student > Ph. D. Student"=>26, "Student > Postgraduate"=>9, "Student > Master"=>18, "Other"=>5, "Student > Bachelor"=>11, "Lecturer > Senior Lecturer"=>1, "Professor"=>13}, "reader_count_by_user_role"=>{"Unspecified"=>1, "Professor > Associate Professor"=>6, "Researcher"=>54, "Student > Doctoral Student"=>7, "Student > Ph. D. Student"=>26, "Student > Postgraduate"=>9, "Student > Master"=>18, "Other"=>5, "Student > Bachelor"=>11, "Lecturer > Senior Lecturer"=>1, "Professor"=>13}, "reader_count_by_subject_area"=>{"Unspecified"=>3, "Agricultural and Biological Sciences"=>79, "Philosophy"=>1, "Computer Science"=>9, "Economics, Econometrics and Finance"=>2, "Engineering"=>6, "Environmental Science"=>3, "Biochemistry, Genetics and Molecular Biology"=>10, "Mathematics"=>1, "Medicine and Dentistry"=>3, "Neuroscience"=>4, "Sports and Recreations"=>1, "Physics and Astronomy"=>26, "Psychology"=>1, "Social Sciences"=>2}, "reader_count_by_subdiscipline"=>{"Medicine and Dentistry"=>{"Medicine and Dentistry"=>3}, "Social Sciences"=>{"Social Sciences"=>2}, "Sports and Recreations"=>{"Sports and Recreations"=>1}, "Physics and Astronomy"=>{"Physics and Astronomy"=>26}, "Psychology"=>{"Psychology"=>1}, "Mathematics"=>{"Mathematics"=>1}, "Unspecified"=>{"Unspecified"=>3}, "Environmental Science"=>{"Environmental Science"=>3}, "Engineering"=>{"Engineering"=>6}, "Neuroscience"=>{"Neuroscience"=>4}, "Economics, Econometrics and Finance"=>{"Economics, Econometrics and Finance"=>2}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>79}, "Computer Science"=>{"Computer Science"=>9}, "Biochemistry, Genetics and Molecular Biology"=>{"Biochemistry, Genetics and Molecular Biology"=>10}, "Philosophy"=>{"Philosophy"=>1}}, "reader_count_by_country"=>{"Colombia"=>1, "United States"=>14, "Japan"=>1, "United Kingdom"=>1, "Spain"=>1, "Canada"=>1, "Netherlands"=>1, "Iran"=>1, "Norway"=>2, "Poland"=>1, "Serbia and Montenegro"=>1, "Italy"=>1, "Mexico"=>2, "Israel"=>1, "Australia"=>1, "France"=>1}, "group_count"=>7}CrossRef
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Scopus | Further Information
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Counter
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PMC Usage Stats | Further Information
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Relative Metric
{"start_date"=>"2012-01-01T00:00:00Z", "end_date"=>"2012-12-31T00:00:00Z", "subject_areas"=>[{"subject_area"=>"/Biology and life sciences/Genetics", "average_usage"=>[333, 576, 707, 814, 908, 1004, 1104, 1197, 1280, 1370, 1449, 1531, 1603, 1673, 1742, 1817, 1886, 1954, 2025, 2098, 2171, 2234, 2304, 2365, 2431]}, {"subject_area"=>"/Computer and information sciences", "average_usage"=>[352, 587, 696, 809, 901, 989, 1072, 1156, 1257, 1334, 1422, 1486, 1555, 1647, 1714, 1780, 1844, 1919, 1997, 2051, 2138, 2198, 2267, 2324, 2391]}, {"subject_area"=>"/Computer and information sciences/Network analysis", "average_usage"=>[388, 661, 797, 921, 1016, 1101, 1200, 1314, 1391, 1476, 1588, 1693, 1772, 1858, 1918, 2003, 2085, 2158, 2232, 2309, 2385, 2448, 2517, 2595, 2658]}]}Loading … 

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