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      Cell type phylogenetics informs the evolutionary origin of echinoderm larval skeletogenic cell identity

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          Abstract

          The multiplicity of cell types comprising multicellular organisms begs the question as to how cell type identities evolve over time. Cell type phylogenetics informs this question by comparing gene expression of homologous cell types in distantly related taxa. We employ this approach to inform the identity of larval skeletogenic cells of echinoderms, a clade for which there are phylogenetically diverse datasets of spatial gene expression patterns. We determined ancestral spatial expression patterns of alx1, ets1, tbr, erg, and vegfr, key components of the skeletogenic gene regulatory network driving identity of the larval skeletogenic cell. Here we show ancestral state reconstructions of spatial gene expression of extant eleutherozoan echinoderms support homology and common ancestry of echinoderm larval skeletogenic cells. We propose larval skeletogenic cells arose in the stem lineage of eleutherozoans during a cell type duplication event that heterochronically activated adult skeletogenic cells in a topographically distinct tissue in early development.

          Abstract

          Eric Erkenbrack and Jeffrey Thompson have performed ancestral state reconstructions of echinoderm larval skeletogenic cells to examine their relatedness and provide insights into cell-type evolution. They propose that larval skeletogenic cells originated in the stem lineage of eleutherozoans.

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          Detecting Correlated Evolution on Phylogenies: A General Method for the Comparative Analysis of Discrete Characters

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            The selection and function of cell type-specific enhancers.

            The human body contains several hundred cell types, all of which share the same genome. In metazoans, much of the regulatory code that drives cell type-specific gene expression is located in distal elements called enhancers. Although mammalian genomes contain millions of potential enhancers, only a small subset of them is active in a given cell type. Cell type-specific enhancer selection involves the binding of lineage-determining transcription factors that prime enhancers. Signal-dependent transcription factors bind to primed enhancers, which enables these broadly expressed factors to regulate gene expression in a cell type-specific manner. The expression of genes that specify cell type identity and function is associated with densely spaced clusters of active enhancers known as super-enhancers. The functions of enhancers and super-enhancers are influenced by, and affect, higher-order genomic organization.
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              The Maximum Likelihood Approach to Reconstructing Ancestral Character States of Discrete Characters on Phylogenies

              Mark Page (1999)
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                Author and article information

                Contributors
                eric.erkenbrack@yale.edu
                jeff.thompson@ucl.ac.uk
                Journal
                Commun Biol
                Commun Biol
                Communications Biology
                Nature Publishing Group UK (London )
                2399-3642
                3 May 2019
                3 May 2019
                2019
                : 2
                : 160
                Affiliations
                [1 ]ISNI 0000000419368710, GRID grid.47100.32, Department of Ecology and Evolutionary Biology, , Yale University, ; New Haven, CT 06511 USA
                [2 ]ISNI 0000000419368710, GRID grid.47100.32, Yale Systems Biology Institute, , Yale University, ; West Haven, CT 06516 USA
                [3 ]ISNI 0000 0001 2111 2894, GRID grid.252890.4, Department of Geosciences, , Baylor University, ; Waco, TX 76706 USA
                [4 ]ISNI 0000 0001 2156 6853, GRID grid.42505.36, Department of Earth Sciences, , University of Southern California, ; Los Angeles, CA 90089-0740 USA
                Author information
                http://orcid.org/0000-0001-9375-3279
                Article
                417
                10.1038/s42003-019-0417-3
                6499829
                95393dc9-ce71-4483-abc4-b15352a70d50
                © The Author(s) 2019

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 19 October 2018
                : 4 April 2019
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                © The Author(s) 2018

                phylogenetics,evolutionary developmental biology

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