Cargando…
Evolutionary tradeoffs, Pareto optimality and the morphology of ammonite shells
BACKGROUND: Organisms that need to perform multiple tasks face a fundamental tradeoff: no design can be optimal at all tasks at once. Recent theory based on Pareto optimality showed that such tradeoffs lead to a highly defined range of phenotypes, which lie in low-dimensional polyhedra in the space...
Autores principales: | , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4404009/ https://www.ncbi.nlm.nih.gov/pubmed/25884468 http://dx.doi.org/10.1186/s12918-015-0149-z |
_version_ | 1782367427577774080 |
---|---|
author | Tendler, Avichai Mayo, Avraham Alon, Uri |
author_facet | Tendler, Avichai Mayo, Avraham Alon, Uri |
author_sort | Tendler, Avichai |
collection | PubMed |
description | BACKGROUND: Organisms that need to perform multiple tasks face a fundamental tradeoff: no design can be optimal at all tasks at once. Recent theory based on Pareto optimality showed that such tradeoffs lead to a highly defined range of phenotypes, which lie in low-dimensional polyhedra in the space of traits. The vertices of these polyhedra are called archetypes- the phenotypes that are optimal at a single task. To rigorously test this theory requires measurements of thousands of species over hundreds of millions of years of evolution. Ammonoid fossil shells provide an excellent model system for this purpose. Ammonoids have a well-defined geometry that can be parameterized using three dimensionless features of their logarithmic-spiral-shaped shells. Their evolutionary history includes repeated mass extinctions. RESULTS: We find that ammonoids fill out a pyramid in morphospace, suggesting five specific tasks - one for each vertex of the pyramid. After mass extinctions, surviving species evolve to refill essentially the same pyramid, suggesting that the tasks are unchanging. We infer putative tasks for each archetype, related to economy of shell material, rapid shell growth, hydrodynamics and compactness. CONCLUSIONS: These results support Pareto optimality theory as an approach to study evolutionary tradeoffs, and demonstrate how this approach can be used to infer the putative tasks that may shape the natural selection of phenotypes. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12918-015-0149-z) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-4404009 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-44040092015-04-21 Evolutionary tradeoffs, Pareto optimality and the morphology of ammonite shells Tendler, Avichai Mayo, Avraham Alon, Uri BMC Syst Biol Research Article BACKGROUND: Organisms that need to perform multiple tasks face a fundamental tradeoff: no design can be optimal at all tasks at once. Recent theory based on Pareto optimality showed that such tradeoffs lead to a highly defined range of phenotypes, which lie in low-dimensional polyhedra in the space of traits. The vertices of these polyhedra are called archetypes- the phenotypes that are optimal at a single task. To rigorously test this theory requires measurements of thousands of species over hundreds of millions of years of evolution. Ammonoid fossil shells provide an excellent model system for this purpose. Ammonoids have a well-defined geometry that can be parameterized using three dimensionless features of their logarithmic-spiral-shaped shells. Their evolutionary history includes repeated mass extinctions. RESULTS: We find that ammonoids fill out a pyramid in morphospace, suggesting five specific tasks - one for each vertex of the pyramid. After mass extinctions, surviving species evolve to refill essentially the same pyramid, suggesting that the tasks are unchanging. We infer putative tasks for each archetype, related to economy of shell material, rapid shell growth, hydrodynamics and compactness. CONCLUSIONS: These results support Pareto optimality theory as an approach to study evolutionary tradeoffs, and demonstrate how this approach can be used to infer the putative tasks that may shape the natural selection of phenotypes. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12918-015-0149-z) contains supplementary material, which is available to authorized users. BioMed Central 2015-03-07 /pmc/articles/PMC4404009/ /pubmed/25884468 http://dx.doi.org/10.1186/s12918-015-0149-z Text en © Tendler et al.; licensee BioMed Central. 2015 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Tendler, Avichai Mayo, Avraham Alon, Uri Evolutionary tradeoffs, Pareto optimality and the morphology of ammonite shells |
title | Evolutionary tradeoffs, Pareto optimality and the morphology of ammonite shells |
title_full | Evolutionary tradeoffs, Pareto optimality and the morphology of ammonite shells |
title_fullStr | Evolutionary tradeoffs, Pareto optimality and the morphology of ammonite shells |
title_full_unstemmed | Evolutionary tradeoffs, Pareto optimality and the morphology of ammonite shells |
title_short | Evolutionary tradeoffs, Pareto optimality and the morphology of ammonite shells |
title_sort | evolutionary tradeoffs, pareto optimality and the morphology of ammonite shells |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4404009/ https://www.ncbi.nlm.nih.gov/pubmed/25884468 http://dx.doi.org/10.1186/s12918-015-0149-z |
work_keys_str_mv | AT tendleravichai evolutionarytradeoffsparetooptimalityandthemorphologyofammoniteshells AT mayoavraham evolutionarytradeoffsparetooptimalityandthemorphologyofammoniteshells AT alonuri evolutionarytradeoffsparetooptimalityandthemorphologyofammoniteshells |