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Database Commons

a catalog of worldwide biological databases

Database Profile

EchinoDB

General information

URL: https://echinodb.uncc.edu
Full name:
Description: EchinoDB is a database consisting of amino acid sequence othoclusters from 42 echinoderm transcriptomes. We sampled taxa to span the deepest divergences within each of the 5 extant echinoderm classes. Data can be searched by keywords such as annotation and database identifiers from the Strongylocentrotus purpuratus reference protein set at NCBI.
Year founded: 2016
Last update:
Version: v2.0
Accessibility:
Accessible
Country/Region: United States

Classification & Tag

Data type:
Data object:
Database category:
Major species:
Keywords:

Contact information

University/Institution: University of North Carolina at Charlotte
Address:
City:
Province/State:
Country/Region: United States
Contact name (PI/Team): Varnika Mittal
Contact email (PI/Helpdesk): vmittal@uncc.edu

Publications

36274129
EchinoDB: an update to the web-based application for genomic and transcriptomic data on echinoderms. [PMID: 36274129]
Varnika Mittal, Robert W Reid, Denis Jacob Machado, Vladimir Mashanov, Daniel A Janies

BACKGROUND: Here we release a new version of EchinoDB, EchinoDB v2.0 ( https://echinodb.uncc.edu ). EchinoDB is a database of genomic and transcriptomic data on echinoderms. The initial database consisted of groups of 749,397 orthologous and paralogous transcripts arranged in orthoclusters by sequence similarity.
RESULTS: The updated version of EchinoDB includes two new major datasets: the RNA-Seq data of the brittle star Ophioderma brevispinum and the high-quality genomic assembly data of the green sea urchin Lytechinus variegatus. In addition, we enabled keyword searches for annotated data and installed an updated version of Sequenceserver to allow Basic Local Alignment Search Tool (BLAST) searches. The data are downloadable in FASTA format. The first version of EchinoDB appeared in 2016 and was implemented in GO on a local server. The new version has been updated using R Shiny to include new features and improvements in the application. Furthermore, EchinoDB now runs entirely in the cloud for increased reliability and scaling.
CONCLUSION: EchinoDB serves a user base drawn from the fields of phylogenetics, developmental biology, genomics, physiology, neurobiology, and regeneration. As use cases, we illustrate the function of EchinoDB in retrieving components of signaling pathways involved in the tissue regeneration process of different echinoderms, including the emerging model species Ophioderma brevispinum. Moreover, we use EchinoDB to shed light on the conservation of the molecular components involved in two echinoderm-specific phenomena: spicule matrix proteins involved in the formation of stereom endoskeleton and the tensilin protein that contributes to the capacity of the connective tissues to quickly change its mechanical properties. The genes involved in the former had been previously studied in echinoids, while gene sequences involved in the latter had been previously described in holothuroids. Specifically, we ask (a) if the biomineralization-related proteins previously reported only in sea urchins are also present in other, non-echinoid, echinoderms and (b) if tensilin, the protein responsible for the control of stiffness of the mutable collagenous tissue, previously described in sea cucumbers, is conserved across the phylum.

BMC Genom Data. 2022:23(1) | 2 Citations (from Europe PMC, 2025-12-13)
26800861
EchinoDB, an application for comparative transcriptomics of deeply-sampled clades of echinoderms. [PMID: 26800861]
Daniel A Janies, Zach Witter, Gregorio V Linchangco, David W Foltz, Allison K Miller, Alexander M Kerr, Jeremy Jay, Robert W Reid, Gregory A Wray,

BACKGROUND: One of our goals for the echinoderm tree of life project (http://echinotol.org) is to identify orthologs suitable for phylogenetic analysis from next-generation transcriptome data. The current dataset is the largest assembled for echinoderm phylogeny and transcriptomics. We used RNA-Seq to profile adult tissues from 42 echinoderm specimens from 24 orders and 37 families. In order to achieve sampling members of clades that span key evolutionary divergence, many of our exemplars were collected from deep and polar seas.
DESCRIPTION: A small fraction of the transcriptome data we produced is being used for phylogenetic reconstruction. Thus to make a larger dataset available to researchers with a wide variety of interests, we made a web-based application, EchinoDB (http://echinodb.uncc.edu). EchinoDB is a repository of orthologous transcripts from echinoderms that is searchable via keywords and sequence similarity.
CONCLUSIONS: From transcripts we identified 749,397 clusters of orthologous loci. We have developed the information technology to manage and search the loci their annotations with respect to the Sea Urchin (Strongylocentrotus purpuratus) genome. Several users have already taken advantage of these data for spin-off projects in developmental biology, gene family studies, and neuroscience. We hope others will search EchinoDB to discover datasets relevant to a variety of additional questions in comparative biology.

BMC Bioinformatics. 2016:17() | 18 Citations (from Europe PMC, 2025-12-13)

Ranking

All databases:
4073/6895 (40.943%)
Gene genome and annotation:
1248/2021 (38.298%)
4073
Total Rank
18
Citations
2
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Record metadata

Created on: 2023-08-22
Curated by:
Yuanyuan Cheng [2023-09-11]
Yuxin Qin [2023-09-05]
Yuanyuan Cheng [2023-08-22]