The University of Southampton
University of Southampton Institutional Repository

Ancestral state reconstruction by comparative analysis of a GRN kernel operating in echinoderms

Ancestral state reconstruction by comparative analysis of a GRN kernel operating in echinoderms
Ancestral state reconstruction by comparative analysis of a GRN kernel operating in echinoderms
Diverse sampling of organisms across the five major classes in the phylum Echinodermata is beginning to reveal much about the structure and function of gene regulatory networks (GRNs) in development and evolution. Sea urchins are the most studied clade within this phylum, and recent work suggests there has been dramatic rewiring at the top of the skeletogenic GRN along the lineage leading to extant members of the euechinoid sea urchins. Such rewiring likely accounts for some of the observed developmental differences between the two major subclasses of sea urchins—cidaroids and euechinoids. To address effects of topmost rewiring on downstream GRN events, we cloned four downstream regulatory genes within the skeletogenic GRN and surveyed their spatiotemporal expression patterns in the cidaroid Eucidaris tribuloides. We performed phylogenetic analyses with homologs from other non-vertebrate deuterostomes and characterized their spatiotemporal expression by quantitative polymerase chain reaction (qPCR) and whole-mount in situ hybridization (WMISH). Our data suggest the erg–hex–tgif subcircuit, a putative GRN kernel, exhibits a mesoderm-specific expression pattern early in Eucidaris development that is directly downstream of the initial mesodermal GRN circuitry. Comparative analysis of the expression of this subcircuit in four echinoderm taxa allowed robust ancestral state reconstruction, supporting hypotheses that its ancestral function was to stabilize the mesodermal regulatory state and that it has been co-opted and deployed as a unit in mesodermal subdomains in distantly diverged echinoderms. Importantly, our study supports the notion that GRN kernels exhibit structural and functional modularity, locking down and stabilizing clade-specific, embryonic regulatory states.
1432-041X
37-45
Erkenbrack, Eric M.
5e52102d-6135-4231-a33f-4933dc070f19
Ako-Asare, Kayla
2dd30af0-0dc0-4c6d-9fac-34f90e5ab91b
Miller, Emily
3b722b0a-4931-4d87-bf44-4e56bce1e5b4
Tekelenburg, Saira
22c2b23f-42ad-4668-bf3d-9fd83182e4b2
Thompson, Jeffrey R.
d2c9b7bb-3e33-4918-97c8-0c36e7af30a4
Romano, Laura
891b08d3-dbba-4088-a7c5-d5db6c8f9104
Erkenbrack, Eric M.
5e52102d-6135-4231-a33f-4933dc070f19
Ako-Asare, Kayla
2dd30af0-0dc0-4c6d-9fac-34f90e5ab91b
Miller, Emily
3b722b0a-4931-4d87-bf44-4e56bce1e5b4
Tekelenburg, Saira
22c2b23f-42ad-4668-bf3d-9fd83182e4b2
Thompson, Jeffrey R.
d2c9b7bb-3e33-4918-97c8-0c36e7af30a4
Romano, Laura
891b08d3-dbba-4088-a7c5-d5db6c8f9104

Erkenbrack, Eric M., Ako-Asare, Kayla, Miller, Emily, Tekelenburg, Saira, Thompson, Jeffrey R. and Romano, Laura (2016) Ancestral state reconstruction by comparative analysis of a GRN kernel operating in echinoderms. Development Genes and Evolution, 226, 37-45. (doi:10.1007/s00427-015-0527-y).

Record type: Article

Abstract

Diverse sampling of organisms across the five major classes in the phylum Echinodermata is beginning to reveal much about the structure and function of gene regulatory networks (GRNs) in development and evolution. Sea urchins are the most studied clade within this phylum, and recent work suggests there has been dramatic rewiring at the top of the skeletogenic GRN along the lineage leading to extant members of the euechinoid sea urchins. Such rewiring likely accounts for some of the observed developmental differences between the two major subclasses of sea urchins—cidaroids and euechinoids. To address effects of topmost rewiring on downstream GRN events, we cloned four downstream regulatory genes within the skeletogenic GRN and surveyed their spatiotemporal expression patterns in the cidaroid Eucidaris tribuloides. We performed phylogenetic analyses with homologs from other non-vertebrate deuterostomes and characterized their spatiotemporal expression by quantitative polymerase chain reaction (qPCR) and whole-mount in situ hybridization (WMISH). Our data suggest the erg–hex–tgif subcircuit, a putative GRN kernel, exhibits a mesoderm-specific expression pattern early in Eucidaris development that is directly downstream of the initial mesodermal GRN circuitry. Comparative analysis of the expression of this subcircuit in four echinoderm taxa allowed robust ancestral state reconstruction, supporting hypotheses that its ancestral function was to stabilize the mesodermal regulatory state and that it has been co-opted and deployed as a unit in mesodermal subdomains in distantly diverged echinoderms. Importantly, our study supports the notion that GRN kernels exhibit structural and functional modularity, locking down and stabilizing clade-specific, embryonic regulatory states.

This record has no associated files available for download.

More information

Published date: 19 January 2016

Identifiers

Local EPrints ID: 473098
URI: http://eprints.soton.ac.uk/id/eprint/473098
ISSN: 1432-041X
PURE UUID: 304bd184-59ae-4725-b6d4-952d552f0de4
ORCID for Jeffrey R. Thompson: ORCID iD orcid.org/0000-0003-3485-172X

Catalogue record

Date deposited: 10 Jan 2023 18:03
Last modified: 17 Mar 2024 04:15

Export record

Altmetrics

Contributors

Author: Eric M. Erkenbrack
Author: Kayla Ako-Asare
Author: Emily Miller
Author: Saira Tekelenburg
Author: Jeffrey R. Thompson ORCID iD
Author: Laura Romano

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×