Evolution of genetic redundancy: the relevance of complexity in genotype–phenotype mapping
Despite its ubiquity among organisms, genetic redundancy is presumed to reduce total population fitness and is therefore unlikely to evolve. This study evaluates an evolutionary model with high-dimensional genotype–phenotype mapping (GPM) by applying a replica method to deal with quenched randomness...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
IOP Publishing
2014-01-01
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| Series: | New Journal of Physics |
| Subjects: | |
| Online Access: | https://doi.org/10.1088/1367-2630/16/6/063013 |
| _version_ | 1827874128763289600 |
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| author | Nen Saito Shuji Ishihara Kunihiko Kaneko |
| author_facet | Nen Saito Shuji Ishihara Kunihiko Kaneko |
| author_sort | Nen Saito |
| collection | DOAJ |
| description | Despite its ubiquity among organisms, genetic redundancy is presumed to reduce total population fitness and is therefore unlikely to evolve. This study evaluates an evolutionary model with high-dimensional genotype–phenotype mapping (GPM) by applying a replica method to deal with quenched randomness. From the method, the dependence of fitness on genetic redundancy is analytically calculated. The results demonstrate that genetic redundancy can have higher population fitness under complex GPM, which tends to favor gene duplication in selection processes, further enhancing the potential for evolutionary innovations. |
| first_indexed | 2024-03-12T16:48:49Z |
| format | Article |
| id | doaj.art-9e24c175d42d47248d39edc1b477bc9d |
| institution | Directory Open Access Journal |
| issn | 1367-2630 |
| language | English |
| last_indexed | 2024-03-12T16:48:49Z |
| publishDate | 2014-01-01 |
| publisher | IOP Publishing |
| record_format | Article |
| series | New Journal of Physics |
| spelling | doaj.art-9e24c175d42d47248d39edc1b477bc9d2023-08-08T11:28:15ZengIOP PublishingNew Journal of Physics1367-26302014-01-0116606301310.1088/1367-2630/16/6/063013Evolution of genetic redundancy: the relevance of complexity in genotype–phenotype mappingNen Saito0Shuji Ishihara1Kunihiko Kaneko2Graduate School of Arts and Sciences The University of Tokyo 3-8-1 Komaba , Meguro-ku, Tokyo 153-8902, JapanGraduate School of Arts and Sciences The University of Tokyo 3-8-1 Komaba , Meguro-ku, Tokyo 153-8902, JapanGraduate School of Arts and Sciences The University of Tokyo 3-8-1 Komaba , Meguro-ku, Tokyo 153-8902, JapanDespite its ubiquity among organisms, genetic redundancy is presumed to reduce total population fitness and is therefore unlikely to evolve. This study evaluates an evolutionary model with high-dimensional genotype–phenotype mapping (GPM) by applying a replica method to deal with quenched randomness. From the method, the dependence of fitness on genetic redundancy is analytically calculated. The results demonstrate that genetic redundancy can have higher population fitness under complex GPM, which tends to favor gene duplication in selection processes, further enhancing the potential for evolutionary innovations.https://doi.org/10.1088/1367-2630/16/6/063013evolutionary modelspin glassfitness landscape89.75.-k87.23.Kg75.10.Nr |
| spellingShingle | Nen Saito Shuji Ishihara Kunihiko Kaneko Evolution of genetic redundancy: the relevance of complexity in genotype–phenotype mapping New Journal of Physics evolutionary model spin glass fitness landscape 89.75.-k 87.23.Kg 75.10.Nr |
| title | Evolution of genetic redundancy: the relevance of complexity in genotype–phenotype mapping |
| title_full | Evolution of genetic redundancy: the relevance of complexity in genotype–phenotype mapping |
| title_fullStr | Evolution of genetic redundancy: the relevance of complexity in genotype–phenotype mapping |
| title_full_unstemmed | Evolution of genetic redundancy: the relevance of complexity in genotype–phenotype mapping |
| title_short | Evolution of genetic redundancy: the relevance of complexity in genotype–phenotype mapping |
| title_sort | evolution of genetic redundancy the relevance of complexity in genotype phenotype mapping |
| topic | evolutionary model spin glass fitness landscape 89.75.-k 87.23.Kg 75.10.Nr |
| url | https://doi.org/10.1088/1367-2630/16/6/063013 |
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