Abstract

BackgroundGenomic and transcriptomic sequence data are essential tools for tackling ecological problems. Using an approach that combines next-generation sequencing, de novo transcriptome assembly, gene annotation and synthetic gene construction, we identify and cluster the protein families from Favia corals from the northern Red Sea.ResultsWe obtained 80 million 75 bp paired-end cDNA reads from two Favia adult samples collected at 65 m (Fav1, Fav2) on the Illumina GA platform, and generated two de novo assemblies using ABySS and CAP3. After removing redundancy and filtering out low quality reads, our transcriptome datasets contained 58,268 (Fav1) and 62,469 (Fav2) contigs longer than 100 bp, with N50 values of 1,665 bp and 1,439 bp, respectively. Using the proteome of the sea anemone Nematostella vectensis as a reference, we were able to annotate almost 20% of each dataset using reciprocal homology searches. Homologous clustering of these annotated transcripts allowed us to divide them into 7,186 (Fav1) and 6,862 (Fav2) homologous transcript clusters (E-value ≤ 2e-30). Functional annotation categories were assigned to homologous clusters using the functional annotation of Nematostella vectensis. General annotation of the assembled transcripts was improved 1-3% using the Acropora digitifera proteome. In addition, we screened these transcript isoform clusters for fluorescent proteins (FPs) homologs and identified seven potential FP homologs in Fav1, and four in Fav2. These transcripts were validated as bona fide FP transcripts via robust fluorescence heterologous expression. Annotation of the assembled contigs revealed that 1.34% and 1.61% (in Fav1 and Fav2, respectively) of the total assembled contigs likely originated from the corals’ algal symbiont, Symbiodinium spp.ConclusionsHere we present a study to identify the homologous transcript isoform clusters from the transcriptome of Favia corals using a far-related reference proteome. Furthermore, the symbiont-derived transcripts were isolated from the datasets and their contribution quantified. This is the first annotated transcriptome of the genus Favia, a major increase in genomics resources available in this important family of corals.

Highlights

  • Genomic and transcriptomic sequence data are essential tools for tackling ecological problems

  • In order to recover transcripts across a range of expression levels, we carried out assembly across a range of k-mer values

  • Using a range of k-mer values allows for the identification of expressed splice variants arising from a single gene

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Summary

Introduction

Genomic and transcriptomic sequence data are essential tools for tackling ecological problems. Transcriptomic datasets can facilitate genome annotation, single-nucleotide. This method is valuable for relatively understudied species, such as Favia corals. Because NGS requires only small amounts of animal tissue, it is possible get large amounts of information from very small samples (1–2 coral polyps). Anthropogenic threats such as climate change, metal pollution and oceanic acidification [9] have led to rapid declines in worldwide coral populations, lending increased urgency to the need for genomic data. Detailed understanding at the genomic and transcriptomic level will allow for the development experimental studies to assess how the intensity and frequency of disturbances affects coral health and abundance

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