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Evolutionary Trade-Offs, Pareto Optimality, and the Geometry of Phenotype Space.

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Title: Evolutionary Trade-Offs, Pareto Optimality, and the Geometry of Phenotype Space.
Authors: Shoval, O., Sheftel, H., Shinar, G., Hart, Y., Ramote, O., Mayo, A., Dekel, E., Kavanagh, K., Alon, U.
Source: Science (pre-March 2025). 6/1/2012, Vol. 336 Issue 6085, p1157-1160. 4p.
Subjects: Biological systems, Phenotypes, Evolutionary theories, Pareto optimum, Allometry, Gene expression in bacteria, Trait intercorrelations
Abstract: Biological systems that perform multiple tasks face a fundamental trade-off: A given phenotype cannot be optimal at all tasks. Here we ask how trade-offs affect the range of phenotypes found in nature. Using the Pareto front concept from economics and engineering, we find that best-trade-off phenotypes are weighted averages of archetypes--phenotypes specialized for single tasks. For two tasks, phenotypes fall on the line connecting the two archetypes, which could explain linear trait correlations, allometric relationships, as well as bacterial gene-expression patterns. For three tasks, phenotypes fall within a triangle in phenotype space, whose vertices are the archetypes, as evident in morphological studies, including on Darwin's finches. Tasks can be inferred from measured phenotypes based on the behavior of organisms nearest the archetypes. [ABSTRACT FROM AUTHOR]
Copyright of Science (pre-March 2025) is the property of American Association for the Advancement of Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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  Data: Evolutionary Trade-Offs, Pareto Optimality, and the Geometry of Phenotype Space.
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  Data: <searchLink fieldCode="AR" term="%22Shoval%2C+O%2E%22">Shoval, O.</searchLink><br /><searchLink fieldCode="AR" term="%22Sheftel%2C+H%2E%22">Sheftel, H.</searchLink><br /><searchLink fieldCode="AR" term="%22Shinar%2C+G%2E%22">Shinar, G.</searchLink><br /><searchLink fieldCode="AR" term="%22Hart%2C+Y%2E%22">Hart, Y.</searchLink><br /><searchLink fieldCode="AR" term="%22Ramote%2C+O%2E%22">Ramote, O.</searchLink><br /><searchLink fieldCode="AR" term="%22Mayo%2C+A%2E%22">Mayo, A.</searchLink><br /><searchLink fieldCode="AR" term="%22Dekel%2C+E%2E%22">Dekel, E.</searchLink><br /><searchLink fieldCode="AR" term="%22Kavanagh%2C+K%2E%22">Kavanagh, K.</searchLink><br /><searchLink fieldCode="AR" term="%22Alon%2C+U%2E%22">Alon, U.</searchLink>
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  Data: <searchLink fieldCode="JN" term="%22Science+%28pre-March+2025%29%22">Science (pre-March 2025)</searchLink>. 6/1/2012, Vol. 336 Issue 6085, p1157-1160. 4p.
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  Data: Biological systems that perform multiple tasks face a fundamental trade-off: A given phenotype cannot be optimal at all tasks. Here we ask how trade-offs affect the range of phenotypes found in nature. Using the Pareto front concept from economics and engineering, we find that best-trade-off phenotypes are weighted averages of archetypes--phenotypes specialized for single tasks. For two tasks, phenotypes fall on the line connecting the two archetypes, which could explain linear trait correlations, allometric relationships, as well as bacterial gene-expression patterns. For three tasks, phenotypes fall within a triangle in phenotype space, whose vertices are the archetypes, as evident in morphological studies, including on Darwin's finches. Tasks can be inferred from measured phenotypes based on the behavior of organisms nearest the archetypes. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Science (pre-March 2025) is the property of American Association for the Advancement of Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=pbh&AN=76600186
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              Text: 6/1/2012
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