SymPortal: a novel analytical framework and platform for coral algal symbiont next-generation sequencing ITS2\n profiling

B C C Hume, E G Smith, Maren Ziegler, H J M Warrington, J A Burt, T C LaJeunesse, J Wiedenmann, Christian R. Voolstra

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61 Scopus citations

Abstract

We present SymPortal (SymPortal.org), a novel analytical framework and platform for genetically resolving the algal symbionts of reef corals using next-generation sequencing (NGS) data of the ITS2 rDNA. Although the ITS2 marker is widely used to genetically characterise taxa within the family Symbiodiniaceae (formerly the genus Symbiodinium), the multi-copy nature of the marker complicates its use. Commonly, the intragenomic diversity resultant from this multi-copy nature is collapsed by analytical approaches thereby focusing on only the most abundant sequences. In contrast, SymPortal employs logic to identify within-sample informative intragenomic sequences, which we have termed 'defining intragenomic variants' (DIVs), to identify ITS2 type profiles representative of putative Symbiodiniaceae taxa. By making use of this intragenomic ITS2 diversity, SymPortal is able to resolve genetic delineations using the ITS2 at a level that was previously only possible by using additional genetic markers. We demonstrate this by comparing this novel approach to the most commonly used alternative approach for NGS ITS2 data, the 97% similarity clustering to operational taxonomic units (OTUs). The SymPortal platform accepts NGS raw sequencing data as input to provide an easy to use, standardisation-enforced, and community-driven framework that integrates with a database to gain resolving power with increased use. We consider that SymPortal, in conjunction with ongoing large-scale sampling and sequencing efforts, should play an instrumental role in making future sampling efforts more comparable and in maximizing their efficacy in working towards the classification of a global Symbiodiniaceae diversity. This article is protected by copyright. All rights reserved.
Original languageEnglish (US)
Pages (from-to)1063-1080
Number of pages18
JournalMolecular Ecology Resources
Volume19
Issue number4
DOIs
StatePublished - Apr 26 2019

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