Draft genomes of the corallimorpharians Amplexidiscus fenestrafer and Discosoma sp

Xin Wang, Yi Jin Liew, Yong Li, Didier Zoccola, Sylvie Tambutte, Manuel Aranda

Research output: Contribution to journalArticlepeer-review

17 Scopus citations

Abstract

Corallimorpharia are the closest non-calcifying relatives of reef-building corals. Aside from their popularity among aquarium hobbyists, their evolutionary position between the Actiniaria (sea anemones) and the Scleractinia (hard corals) makes them ideal candidates for comparative studies aiming at understanding the evolution of hexacorallian orders in general and reef-building corals in particular. Here we have sequenced and assembled two draft genomes for the Corallimorpharia species Amplexidiscus fenestrafer and Discosoma sp.. The draft genomes encompass 370 Mbp and 445 Mbp respectively and encode for 21,372 and 23,199 genes. To facilitate future studies using these resources, we provide annotations for the predicted gene models-not only at gene level, by annotating gene models with the function of the best-matching homolog, and GO terms when available; but also at protein domain level, where gene function can be better verified through the conservation of the sequence and order of protein domains. Further, we provide an online platform (http://corallimorpharia.reefgenomics.org), which includes a BLAST interface as well as a genome browser to facilitate the use of these resources. We believe that these two genomes are important resources for future studies on hexacorallian systematics and the evolutionary basis of their specific traits such as the symbiotic relationship with dinoflagellates of the genus Symbiodinium or the evolution of calcification in reef-building corals. This article is protected by copyright. All rights reserved.
Original languageEnglish (US)
Pages (from-to)e187-e195
Number of pages1
JournalMolecular Ecology Resources
Volume17
Issue number6
DOIs
StatePublished - Jun 27 2017

Bibliographical note

KAUST Repository Item: Exported on 2020-10-01
Acknowledgements: The research reported in this publication was supported by funding from King Abdullah University of Science and Technology (KAUST). We would like to also thank Craig Michell for library construction, and the KAUST Sequencing Core Facility for sequencing the libraries.

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