Click
here to close Hello! We notice that
you are using Internet Explorer, which is not supported by Echinobase
and may cause the site to display incorrectly. We suggest using a
current version of Chrome,
FireFox,
or Safari.
Genome Biol
2018 Feb 28;191:26. doi: 10.1186/s13059-018-1402-8.
Show Gene links
Show Anatomy links
Developmental transcriptomics of the brittle star Amphiura filiformis reveals gene regulatory network rewiring in echinoderm larval skeleton evolution.
???displayArticle.abstract???
BACKGROUND: Amongst the echinoderms the class Ophiuroidea is of particular interest for its phylogenetic position, ecological importance and developmental and regenerative biology. However, compared to other echinoderms, notably echinoids (sea urchins), relatively little is known about developmental changes in gene expression in ophiuroids. To address this issue, we have generated and assembled a large RNAseq data set of four key stages of development in the brittle star Amphiura filiformis and a de novo reference transcriptome of comparable quality to that of a model echinoderm-the sea urchin Strongylocentrotus purpuratus. Furthermore, we provide access to the new data via a web interface: http://www.echinonet.eu/shiny/Amphiura_filiformis/ .
RESULTS: We have identified highly conserved genes associated with the development of a biomineralised skeleton. We also identify important class-specific characters, including the independent duplication of the msp130 class of genes in different echinoderm classes and the unique occurrence of spicule matrix (sm) genes in echinoids. Using a new quantification pipeline for our de novo transcriptome, validated with other methodologies, we find major differences between brittle stars and sea urchins in the temporal expression of many transcription factor genes. This divergence in developmental regulatory states is more evident in early stages of development when cell specification begins, rather than when cells initiate differentiation.
CONCLUSIONS: Our findings indicate that there has been a high degree of gene regulatory network rewiring and clade-specific gene duplication, supporting the hypothesis of a convergent evolution of larval skeleton development in echinoderms.
Fig. 1. Pipeline used to obtain the A. filiformis developmental transcriptome. a Developmental timepoints used for RNA-seq: 9hpf corresponds to a late cleavage stage, 18hpf to a blastula stage, 27hpf to a mesenchyme blastula stage and 39hpf to a late gastrula stage (arrows point to position where spicules are formed). The brittle star A. filiformis and the sea urchin S. purpuratus pluteus larvae showing general morphological features and the birifrangent extended skeleton (m mouth, St stomach, Sk skeleton). b Assembly pipeline showing the individual steps and the reduction in sequences
Fig. 2. Gene content in representatives of four echinoderm classes. a Phylogenetic relationships of the four species compared in this study according to the currently most supported phylogeny for the classes these species belong to. b Venn diagram showing the overlaps of genes that were identified using a reciprocal tBLASTx (e-value 1e-6) strategy. The different numbers in each overlap field indicate the species that was used as reference for the BLAST search. Afi Amphiura filiformis, Pmi Patiria miniata, Ame Antedon mediterranea, Spu Strongyloncetrotus prupuratus, Echi Echinoderm core (overlap of all four classes)
Fig. 3. Conservation of gene functional classes in echinoderms. Sea urchin functional classes are based on S. purpuratus [21] and show proportions identified in the other three echinoderms. Average and standard deviation are calculated between Afi, Pmi and Ame and are normalised based on the sea urchin. Afi Amphiura filiformis, Pmi Patiria miniata, Ame Antedon mediterranea, Spu Strongylocentrotus prupuratus, Echi Echinoderm core (overlap of all four classes)
Fig. 4. Homologs of sea urchin skeletogenic genes identified in other echinoderms and expression patterns for selected candidates. Venn diagram showing the overlap of genes involved in sea urchin skeletogenesis with homologs found in other echinoderms; 494/901 are shared between four classes of echinoderms, which is a higher proportion than a set of random genes (Additional file 1: Figure S7). Whole mount in situ expression patterns in two important brittle star developmental stages for several selected candidates from different regions of overlap reveals an association with cells associated with skeleton formation. In the top right corner is depicted the currently most supported phylogeny for these four species. Schematics representing mesenchyme blastula and early gastrula stages are in the bottom right corner (in purple are shown the mesenchymal cells that will give rise to skeleton). Afi Amphiura filiformis, Pmi Patiria miniata, Ame Antedon mediterranea, Spu Strongylocentrotus prupuratus, Echi Echinoderm core (overlap of all four classes). MBl mesenchyme blastula, G gastrula
Fig. 5. Global A. filiformis gene expression and comparison of larval regulatory states. a Fuzzy clustering of 39,000 ECs in 27 clusters of four developmental time points sorted in four distinct modes of expression (EARLY, LATE, INTERMEDIATE, BI-MODAL). Each line represents the expression of a single gene, and the grey intensity indicates the normalised expression. b Comparison of TFs in the four modes of expression between sea urchin (SPU) and brittle star (AFI). The majority of TFs show differences in expression
Fig. 6. Scenario of larval skeleton evolution. A simplified phylogeny of echinoderms with representative larval stages (skeleton in red), which illustrates the position of major transitions in the evolution of the larval skeleton. Specifically, at the base of echinoderms are shown common features for the evolution of the adult skeleton and at the class level are depicted specific features for ophiuroids and echinoids
Altschul,
Basic local alignment search tool.
1990, Pubmed
Altschul,
Basic local alignment search tool.
1990,
Pubmed Barsi,
General approach for in vivo recovery of cell type-specific effector gene sets.
2014,
Pubmed
,
Echinobase Bolger,
Trimmomatic: a flexible trimmer for Illumina sequence data.
2014,
Pubmed Bottjer,
Paleogenomics of echinoderms.
2006,
Pubmed
,
Echinobase Cameron,
Biomineral ultrastructure, elemental constitution and genomic analysis of biomineralization-related proteins in hemichordates.
2012,
Pubmed
,
Echinobase Cameron,
SpBase: the sea urchin genome database and web site.
2009,
Pubmed
,
Echinobase Cannon,
Phylogenomic resolution of the hemichordate and echinoderm clade.
2014,
Pubmed
,
Echinobase Cheers,
P16 is an essential regulator of skeletogenesis in the sea urchin embryo.
2005,
Pubmed
,
Echinobase Conesa,
Blast2GO: A comprehensive suite for functional analysis in plant genomics.
2008,
Pubmed Czarkwiani,
Skeletal regeneration in the brittle star Amphiura filiformis.
2016,
Pubmed
,
Echinobase Czarkwiani,
Expression of skeletogenic genes during arm regeneration in the brittle star Amphiura filiformis.
2013,
Pubmed
,
Echinobase Davidson,
Gene regulatory networks and the evolution of animal body plans.
2006,
Pubmed Davidson,
Corset: enabling differential gene expression analysis for de novo assembled transcriptomes.
2014,
Pubmed Dupont,
Impact of near-future ocean acidification on echinoderms.
2010,
Pubmed
,
Echinobase Dupont,
Growth or differentiation? Adaptive regeneration in the brittlestar Amphiura filiformis.
2006,
Pubmed
,
Echinobase Dylus,
Large-scale gene expression study in the ophiuroid Amphiura filiformis provides insights into evolution of gene regulatory networks.
2016,
Pubmed
,
Echinobase Elphick,
Reconstructing SALMFamide Neuropeptide Precursor Evolution in the Phylum Echinodermata: Ophiuroid and Crinoid Sequence Data Provide New Insights.
2015,
Pubmed
,
Echinobase ENCODE Project Consortium,
An integrated encyclopedia of DNA elements in the human genome.
2012,
Pubmed Futschik,
Noise-robust soft clustering of gene expression time-course data.
2005,
Pubmed Gao,
Transfer of a large gene regulatory apparatus to a new developmental address in echinoid evolution.
2008,
Pubmed
,
Echinobase Geiss,
Direct multiplexed measurement of gene expression with color-coded probe pairs.
2008,
Pubmed Gilbert,
Molecular aspects of biomineralization of the echinoderm endoskeleton.
2011,
Pubmed
,
Echinobase Goodwin,
Coming of age: ten years of next-generation sequencing technologies.
2016,
Pubmed Grabherr,
Full-length transcriptome assembly from RNA-Seq data without a reference genome.
2011,
Pubmed Guindon,
Estimating maximum likelihood phylogenies with PhyML.
2009,
Pubmed Haas,
De novo transcript sequence reconstruction from RNA-seq using the Trinity platform for reference generation and analysis.
2013,
Pubmed Hall,
The crown-of-thorns starfish genome as a guide for biocontrol of this coral reef pest.
2017,
Pubmed
,
Echinobase Hobert,
Regulatory logic of neuronal diversity: terminal selector genes and selector motifs.
2008,
Pubmed Howard-Ashby,
High regulatory gene use in sea urchin embryogenesis: Implications for bilaterian development and evolution.
2006,
Pubmed
,
Echinobase Israel,
Comparative Developmental Transcriptomics Reveals Rewiring of a Highly Conserved Gene Regulatory Network during a Major Life History Switch in the Sea Urchin Genus Heliocidaris.
2016,
Pubmed
,
Echinobase Jackson,
Parallel evolution of nacre building gene sets in molluscs.
2010,
Pubmed
,
Echinobase Janies,
EchinoDB, an application for comparative transcriptomics of deeply-sampled clades of echinoderms.
2016,
Pubmed
,
Echinobase Langmead,
Aligning short sequencing reads with Bowtie.
2010,
Pubmed Lartillot,
PhyloBayes 3: a Bayesian software package for phylogenetic reconstruction and molecular dating.
2009,
Pubmed Levin,
The mid-developmental transition and the evolution of animal body plans.
2016,
Pubmed Li,
RSEM: accurate transcript quantification from RNA-Seq data with or without a reference genome.
2011,
Pubmed Livingston,
A genome-wide analysis of biomineralization-related proteins in the sea urchin Strongylocentrotus purpuratus.
2006,
Pubmed
,
Echinobase Löytynoja,
Phylogeny-aware gap placement prevents errors in sequence alignment and evolutionary analysis.
2008,
Pubmed Luo,
The Lingula genome provides insights into brachiopod evolution and the origin of phosphate biomineralization.
2015,
Pubmed Mann,
In-depth, high-accuracy proteomics of sea urchin tooth organic matrix.
2008,
Pubmed
,
Echinobase Mann,
Proteomic analysis of sea urchin (Strongylocentrotus purpuratus) spicule matrix.
2010,
Pubmed
,
Echinobase Materna,
A protocol for unraveling gene regulatory networks.
2008,
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 McIntyre,
Branching out: origins of the sea urchin larval skeleton in development and evolution.
2014,
Pubmed
,
Echinobase Moreton,
A consensus approach to vertebrate de novo transcriptome assembly from RNA-seq data: assembly of the duck (Anas platyrhynchos) transcriptome.
2014,
Pubmed Morino,
Heterochronic activation of VEGF signaling and the evolution of the skeleton in echinoderm pluteus larvae.
2012,
Pubmed
,
Echinobase O'Hara,
Phylogenomic resolution of the class Ophiuroidea unlocks a global microfossil record.
2014,
Pubmed
,
Echinobase Oliveri,
Global regulatory logic for specification of an embryonic cell lineage.
2008,
Pubmed
,
Echinobase Parra,
CEGMA: a pipeline to accurately annotate core genes in eukaryotic genomes.
2007,
Pubmed Pisani,
Resolving phylogenetic signal from noise when divergence is rapid: a new look at the old problem of echinoderm class relationships.
2012,
Pubmed
,
Echinobase Primus,
Regional specification in the early embryo of the brittle star Ophiopholis aculeata.
2005,
Pubmed
,
Echinobase Purushothaman,
Transcriptomic and proteomic analyses of Amphiura filiformis arm tissue-undergoing regeneration.
2015,
Pubmed
,
Echinobase Rafiq,
Genome-wide analysis of the skeletogenic gene regulatory network of sea urchins.
2014,
Pubmed
,
Echinobase Rafiq,
The genomic regulatory control of skeletal morphogenesis in the sea urchin.
2012,
Pubmed
,
Echinobase Robinson,
Phylo.io: Interactive Viewing and Comparison of Large Phylogenetic Trees on the Web.
2016,
Pubmed Roth,
Algorithm of OMA for large-scale orthology inference.
2008,
Pubmed Seaver,
Examination of the skeletal proteome of the brittle star Ophiocoma wendtii reveals overall conservation of proteins but variation in spicule matrix proteins.
2015,
Pubmed
,
Echinobase Simão,
BUSCO: assessing genome assembly and annotation completeness with single-copy orthologs.
2015,
Pubmed Sodergren,
The genome of the sea urchin Strongylocentrotus purpuratus.
2006,
Pubmed
,
Echinobase Szabó,
Another biomineralising protostome with an msp130 gene and conservation of msp130 gene structure across Bilateria.
2015,
Pubmed Telford,
Phylogenomic analysis of echinoderm class relationships supports Asterozoa.
2014,
Pubmed
,
Echinobase Tu,
Gene structure in the sea urchin Strongylocentrotus purpuratus based on transcriptome analysis.
2012,
Pubmed
,
Echinobase Tu,
Quantitative developmental transcriptomes of the sea urchin Strongylocentrotus purpuratus.
2014,
Pubmed
,
Echinobase Vaughn,
Sequencing and analysis of the gastrula transcriptome of the brittle star Ophiocoma wendtii.
2012,
Pubmed
,
Echinobase Vijay,
Challenges and strategies in transcriptome assembly and differential gene expression quantification. A comprehensive in silico assessment of RNA-seq experiments.
2013,
Pubmed Wang,
RNA-Seq: a revolutionary tool for transcriptomics.
2009,
Pubmed