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Establishing a timeline for the evolution of novelties is a common, unifying goal at the intersection of evolutionary and developmental biology. Analyses of gene regulatory networks (GRNs) provide the ability to understand the underlying genetic and developmental mechanisms responsible for the origin of morphological structures both in the development of an individual and across entire evolutionary lineages. Accurately dating GRN novelties, thereby establishing a timeline for GRN evolution, is necessary to answer questions about the rate at which GRNs and their subcircuits evolve, and to tie their evolution to paleoenvironmental and paleoecological changes. Paleogenomics unites the fossil record and all aspects of deep time, with modern genomics and developmental biology to understand the evolution of genomes in evolutionary time. Recent work on the regulatory genomic basis of development in cidaroid echinoids, sand dollars, heart urchins, and other nonmodel echinoderms provides an ideal dataset with which to explore GRN evolution in a comparative framework. Using divergence time estimation and ancestral state reconstructions, we have determined the age of the double-negative gate (DNG), the subcircuit which specifies micromeres and skeletogenic cells in Strongylocentrotus purpuratus We have determined that the DNG has likely been used for euechinoid echinoid micromere specification since at least the Late Triassic. The innovation of the DNG thus predates the burst of post-Paleozoic echinoid morphological diversification that began in the Early Jurassic. Paleogenomics has wide applicability for the integration of deep time and molecular developmental data, and has wide utility in rigorously establishing timelines for GRN evolution.
Bottjer,
Paleogenomics of echinoderms.
2006,
Pubmed
,
Echinobase
Davidson,
Gene regulatory networks and the evolution of animal body plans.
2006,
Pubmed
Davidson,
A genomic regulatory network for development.
2002,
Pubmed
,
Echinobase
dos Reis,
Approximate likelihood calculation on a phylogeny for Bayesian estimation of divergence times.
2011,
Pubmed
Drummond,
Relaxed phylogenetics and dating with confidence.
2006,
Pubmed
Duloquin,
Localized VEGF signaling from ectoderm to mesenchyme cells controls morphogenesis of the sea urchin embryo skeleton.
2007,
Pubmed
,
Echinobase
Dunn,
Phylogenetic analysis of gene expression.
2013,
Pubmed
Dylus,
Large-scale gene expression study in the ophiuroid Amphiura filiformis provides insights into evolution of gene regulatory networks.
2016,
Pubmed
,
Echinobase
Erkenbrack,
Evolutionary rewiring of gene regulatory network linkages at divergence of the echinoid subclasses.
2015,
Pubmed
,
Echinobase
Erkenbrack,
Ancestral state reconstruction by comparative analysis of a GRN kernel operating in echinoderms.
2016,
Pubmed
,
Echinobase
Erkenbrack,
Divergence of ectodermal and mesodermal gene regulatory network linkages in early development of sea urchins.
2016,
Pubmed
,
Echinobase
Ettensohn,
Lessons from a gene regulatory network: echinoderm skeletogenesis provides insights into evolution, plasticity and morphogenesis.
2009,
Pubmed
,
Echinobase
Gao,
Juvenile skeletogenesis in anciently diverged sea urchin clades.
2015,
Pubmed
,
Echinobase
Gildor,
Comparative Study of Regulatory Circuits in Two Sea Urchin Species Reveals Tight Control of Timing and High Conservation of Expression Dynamics.
2015,
Pubmed
,
Echinobase
Hejnol,
Animal Evolution: Are Phyla Real?
2016,
Pubmed
Hejnol,
Embracing the comparative approach: how robust phylogenies and broader developmental sampling impacts the understanding of nervous system evolution.
2015,
Pubmed
Hinman,
Developmental gene regulatory network architecture across 500 million years of echinoderm evolution.
2003,
Pubmed
,
Echinobase
Hopkins,
Dynamic evolutionary change in post-Paleozoic echinoids and the importance of scale when interpreting changes in rates of evolution.
2015,
Pubmed
Lartillot,
A Bayesian mixture model for across-site heterogeneities in the amino-acid replacement process.
2004,
Pubmed
Lartillot,
PhyloBayes 3: a Bayesian software package for phylogenetic reconstruction and molecular dating.
2009,
Pubmed
Le,
Probabilistic error correction for RNA sequencing.
2013,
Pubmed
,
Echinobase
Levin,
The mid-developmental transition and the evolution of animal body plans.
2016,
Pubmed
Littlewood,
A combined morphological and molecular phylogeny for sea urchins (Echinoidea: Echinodermata).
1995,
Pubmed
,
Echinobase
McCauley,
A conserved gene regulatory network subcircuit drives different developmental fates in the vegetal pole of highly divergent echinoderm embryos.
2010,
Pubmed
,
Echinobase
McCauley,
Development of an embryonic skeletogenic mesenchyme lineage in a sea cucumber reveals the trajectory of change for the evolution of novel structures in echinoderms.
2012,
Pubmed
,
Echinobase
McClay,
Evolutionary crossroads in developmental biology: sea urchins.
2011,
Pubmed
,
Echinobase
Oliveri,
Global regulatory logic for specification of an embryonic cell lineage.
2008,
Pubmed
,
Echinobase
Oliveri,
A regulatory gene network that directs micromere specification in the sea urchin embryo.
2002,
Pubmed
,
Echinobase
Pagel,
Bayesian estimation of ancestral character states on phylogenies.
2004,
Pubmed
Parham,
Best practices for justifying fossil calibrations.
2012,
Pubmed
Peter,
Implications of Developmental Gene Regulatory Networks Inside and Outside Developmental Biology.
2016,
Pubmed
Peter,
Evolution of gene regulatory networks controlling body plan development.
2011,
Pubmed
Peter,
Genomic control of patterning.
2009,
Pubmed
,
Echinobase
Posada,
MODELTEST: testing the model of DNA substitution.
1998,
Pubmed
Rannala,
Inferring speciation times under an episodic molecular clock.
2007,
Pubmed
Revilla-i-Domingo,
A missing link in the sea urchin embryo gene regulatory network: hesC and the double-negative specification of micromeres.
2007,
Pubmed
,
Echinobase
Sharma,
Activation of the skeletogenic gene regulatory network in the early sea urchin embryo.
2010,
Pubmed
,
Echinobase
Smith,
Testing the molecular clock: molecular and paleontological estimates of divergence times in the Echinoidea (Echinodermata).
2006,
Pubmed
,
Echinobase
Smith,
Regulative recovery in the sea urchin embryo and the stabilizing role of fail-safe gene network wiring.
2009,
Pubmed
,
Echinobase
Stamatakis,
RAxML version 8: a tool for phylogenetic analysis and post-analysis of large phylogenies.
2014,
Pubmed
Telford,
Phylogenomic analysis of echinoderm class relationships supports Asterozoa.
2014,
Pubmed
,
Echinobase
Thompson,
Reorganization of sea urchin gene regulatory networks at least 268 million years ago as revealed by oldest fossil cidaroid echinoid.
2015,
Pubmed
,
Echinobase
Wray,
The origin of spicule-forming cells in a 'primitive' sea urchin (Eucidaris tribuloides) which appears to lack primary mesenchyme cells.
1988,
Pubmed
,
Echinobase
Wu,
The Snail repressor is required for PMC ingression in the sea urchin embryo.
2007,
Pubmed
,
Echinobase
Yamazaki,
Expession patterns of mesenchyme specification genes in two distantly related echinoids, Glyptocidaris crenularis and Echinocardium cordatum.
2015,
Pubmed
,
Echinobase
Yamazaki,
Larval mesenchyme cell specification in the primitive echinoid occurs independently of the double-negative gate.
2014,
Pubmed
,
Echinobase
Yamazaki,
Structure-function correlation of micro1 for micromere specification in sea urchin embryos.
2009,
Pubmed
,
Echinobase
Yamazaki,
Conserved early expression patterns of micromere specification genes in two echinoid species belonging to the orders clypeasteroida and echinoida.
2010,
Pubmed
,
Echinobase
Yang,
PAML 4: phylogenetic analysis by maximum likelihood.
2007,
Pubmed
Yang,
Bayesian estimation of species divergence times under a molecular clock using multiple fossil calibrations with soft bounds.
2006,
Pubmed