Literature DB >> 25713369

Dynamic evolutionary change in post-Paleozoic echinoids and the importance of scale when interpreting changes in rates of evolution.

Melanie J Hopkins1, Andrew B Smith2.   

Abstract

How ecological and morphological diversity accrues over geological time has been much debated by paleobiologists. Evidence from the fossil record suggests that many clades reach maximal diversity early in their evolutionary history, followed by a decline in evolutionary rates as ecological space fills or due to internal constraints. Here, we apply recently developed methods for estimating rates of morphological evolution during the post-Paleozoic history of a major invertebrate clade, the Echinoidea. Contrary to expectation, rates of evolution were lowest during the initial phase of diversification following the Permo-Triassic mass extinction and increased over time. Furthermore, although several subclades show high initial rates and net decreases in rates of evolution, consistent with "early bursts" of morphological diversification, at more inclusive taxonomic levels, these bursts appear as episodic peaks. Peak rates coincided with major shifts in ecological morphology, primarily associated with innovations in feeding strategies. Despite having similar numbers of species in today's oceans, regular echinoids have accrued far less morphological diversity than irregular echinoids due to lower intrinsic rates of morphological evolution and less morphological innovation, the latter indicative of constrained or bounded evolution. These results indicate that rates of evolution are extremely heterogenous through time and their interpretation depends on the temporal and taxonomic scale of analysis.

Entities:  

Keywords:  early bursts; evolutionary innovation; fossil record; mode of evolution; morphological diversification

Mesh:

Year:  2015        PMID: 25713369      PMCID: PMC4378421          DOI: 10.1073/pnas.1418153112

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  23 in total

1.  Testing for phylogenetic signal in comparative data: behavioral traits are more labile.

Authors:  Simon P Blomberg; Theodore Garland; Anthony R Ives
Journal:  Evolution       Date:  2003-04       Impact factor: 3.694

2.  A novel comparative method for identifying shifts in the rate of character evolution on trees.

Authors:  Jonathan M Eastman; Michael E Alfaro; Paul Joyce; Andrew L Hipp; Luke J Harmon
Journal:  Evolution       Date:  2011-08-24       Impact factor: 3.694

3.  Early bursts of body size and shape evolution are rare in comparative data.

Authors:  Luke J Harmon; Jonathan B Losos; T Jonathan Davies; Rosemary G Gillespie; John L Gittleman; W Bryan Jennings; Kenneth H Kozak; Mark A McPeek; Franck Moreno-Roark; Thomas J Near; Andy Purvis; Robert E Ricklefs; Dolph Schluter; James A Schulte Ii; Ole Seehausen; Brian L Sidlauskas; Omar Torres-Carvajal; Jason T Weir; Arne Ø Mooers
Journal:  Evolution       Date:  2010-04-29       Impact factor: 3.694

4.  Testing the molecular clock: molecular and paleontological estimates of divergence times in the Echinoidea (Echinodermata).

Authors:  Andrew B Smith; Davide Pisani; Jacqueline A Mackenzie-Dodds; Bruce Stockley; Bonnie L Webster; D Timothy J Littlewood
Journal:  Mol Biol Evol       Date:  2006-06-15       Impact factor: 16.240

5.  Strong top-down control in southern California kelp forest ecosystems.

Authors:  Benjamin S Halpern; Karl Cottenie; Bernardo R Broitman
Journal:  Science       Date:  2006-05-26       Impact factor: 47.728

6.  Phylogenetic signal, evolutionary process, and rate.

Authors:  Liam J Revell; Luke J Harmon; David C Collar
Journal:  Syst Biol       Date:  2008-08       Impact factor: 15.683

7.  Clades reach highest morphological disparity early in their evolution.

Authors:  Martin Hughes; Sylvain Gerber; Matthew Albion Wills
Journal:  Proc Natl Acad Sci U S A       Date:  2013-07-24       Impact factor: 11.205

8.  Robust regression and posterior predictive simulation increase power to detect early bursts of trait evolution.

Authors:  Graham J Slater; Matthew W Pennell
Journal:  Syst Biol       Date:  2013-10-22       Impact factor: 15.683

9.  The radiation of cynodonts and the ground plan of mammalian morphological diversity.

Authors:  Marcello Ruta; Jennifer Botha-Brink; Stephen A Mitchell; Michael J Benton
Journal:  Proc Biol Sci       Date:  2013-08-28       Impact factor: 5.349

10.  Automatic detection of key innovations, rate shifts, and diversity-dependence on phylogenetic trees.

Authors:  Daniel L Rabosky
Journal:  PLoS One       Date:  2014-02-26       Impact factor: 3.240

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  32 in total

1.  The morphological state space revisited: what do phylogenetic patterns in homoplasy tell us about the number of possible character states?

Authors:  Jennifer F Hoyal Cuthill
Journal:  Interface Focus       Date:  2015-12-06       Impact factor: 3.906

2.  What limits the morphological disparity of clades?

Authors:  Jack W Oyston; Martin Hughes; Peter J Wagner; Sylvain Gerber; Matthew A Wills
Journal:  Interface Focus       Date:  2015-12-06       Impact factor: 3.906

3.  Evolutionary rewiring of gene regulatory network linkages at divergence of the echinoid subclasses.

Authors:  Eric M Erkenbrack; Eric H Davidson
Journal:  Proc Natl Acad Sci U S A       Date:  2015-07-13       Impact factor: 11.205

4.  Not-so-early bursts and the dynamic nature of morphological diversification.

Authors:  Graham J Slater
Journal:  Proc Natl Acad Sci U S A       Date:  2015-03-11       Impact factor: 11.205

5.  Post-Cretaceous bursts of evolution along the benthic-pelagic axis in marine fishes.

Authors:  Emanuell Ribeiro; Aaron M Davis; Rafael A Rivero-Vega; Guillermo Ortí; Ricardo Betancur-R
Journal:  Proc Biol Sci       Date:  2018-12-19       Impact factor: 5.349

6.  Accelerated body size evolution during cold climatic periods in the Cenozoic.

Authors:  Julien Clavel; Hélène Morlon
Journal:  Proc Natl Acad Sci U S A       Date:  2017-04-03       Impact factor: 11.205

7.  Early bursts of disparity and the reorganization of character integration.

Authors:  Peter J Wagner
Journal:  Proc Biol Sci       Date:  2018-11-14       Impact factor: 5.349

8.  Phylogenetic non-independence in rates of trait evolution.

Authors:  Manabu Sakamoto; Chris Venditti
Journal:  Biol Lett       Date:  2018-10-03       Impact factor: 3.703

9.  Little evidence for enhanced phenotypic evolution in early teleosts relative to their living fossil sister group.

Authors:  John T Clarke; Graeme T Lloyd; Matt Friedman
Journal:  Proc Natl Acad Sci U S A       Date:  2016-09-26       Impact factor: 11.205

10.  Paleogenomics of echinoids reveals an ancient origin for the double-negative specification of micromeres in sea urchins.

Authors:  Jeffrey R Thompson; Eric M Erkenbrack; Veronica F Hinman; Brenna S McCauley; Elizabeth Petsios; David J Bottjer
Journal:  Proc Natl Acad Sci U S A       Date:  2017-06-06       Impact factor: 11.205

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