We are analyzing https://link.springer.com/article/10.1186/s12918-015-0149-z.

Title:
Evolutionary tradeoffs, Pareto optimality and the morphology of ammonite shells | BMC Systems Biology
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.
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Keywords {🔍}

shell, tasks, ammonoids, google, scholar, ammonoid, pyramid, data, archetype, article, figure, vertices, pareto, archetypes, morphospace, triangle, function, shells, mass, growth, performance, volume, westermann, morphology, ratio, genera, theory, tradeoffs, evolution, economy, diameter, task, fitness, hydrodynamic, pubmed, evolutionary, drag, extinction, internal, find, size, dataset, vertex, shape, front, contours, values, analysis, optimality, space,

Topics {✒️}

avraham mayo & uri alon multi-dimensional trait data multiple-objective situation abisch-frenkel professorial chair mcghee jr gr explore evolutionary tradeoffs article download pdf functional–structural models optimize classic fitness-landscape approaches open access license large-scale metabolic networks molecular cell biology alternative view systems showed lines bmc evol biol full size image privacy choices/manage cookies logarithmic-spiral-shaped shells author information authors split augmented lagrangian evolutionary trade-offs growth-dependent phenotypic variation parallel evolution controlled favor smaller-volume ammonoids open shell morphology findings lend support biological homeostasis systems chamberlain jr ja shell-volume performance function ua designed research niche-dependent fitness functions entire pareto front pareto front boundaries study evolutionary tradeoffs pareto optimality showed article tendler pareto optimality theory full access air-filled chambers dimensional pareto front pyramidal pareto front morphological trade-offs power distribution systems ann biomed eng promoting individual freedoms oxf econ pap cystic fibrosis airways ben-moshe nb permo-triassic bottleneck schweizerbart ’sche stuttgart

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         Physiological
         Cellular and Medical Topics
         Algorithms
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