ArticleBMC genomics2014
Production of a reference transcriptome and transcriptomic database (EdwardsiellaBase) for the lined sea anemone, Edwardsiella lineata, a parasitic cnidarian.
Article in BMC genomics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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18 citing papers in PubMed, 54 citations in OpenAlex.
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- Multiomic Approach for Bioprospection: Investigation of Toxins and Peptides of Brazilian Sea AnemoneMarine drugs · 2023Article
- Evolutionary Analysis of Cystatins of Early-Emerging Metazoans Reveals a Novel Subtype in Parasitic Cnidarians.Biology · 2021Article
- Toxin-like neuropeptides in the sea anemoneProceedings of the National Academy of Sciences of the United States of America · 2020Article
- A comparative genomics study of neuropeptide genes in the cnidarian subclasses Hexacorallia and Ceriantharia.BMC genomics · 2020Article
- Looking Down on NF-κB.Molecular and cellular biology · 2020Review
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- Global Neuropeptide Annotations From the Genomes and Transcriptomes of Cubozoa, Scyphozoa, Staurozoa (Cnidaria: Medusozoa), and Octocorallia (Cnidaria: Anthozoa).Frontiers in endocrinology · 2019Article
- Cell type-specific expression profiling unravels the development and evolution of stinging cells in sea anemone.BMC biology · 2018Article
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- Characterization of the piRNA pathway during development of the sea anemone Nematostella vectensis.RNA biology · 2017Article
- Sequencing andGenomics data · 2017Article
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- Jellyfish Bioactive Compounds: Methods for Wet-Lab Work.Marine drugs · 2016Review
- The cnidarian origin of the proto-oncogenes NF-κB/STAT and WNT-like oncogenic pathway drives the ctenophores (Review).International journal of oncology · 2015Review
- De Novo Assembly and Characterization of Four Anthozoan (Phylum Cnidaria) Transcriptomes.G3 (Bethesda, Md.) · 2015Article
- Current directions and future perspectives from the third Nematostella research conference.Zoology (Jena, Germany) · 2015Article
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8 authors at 2 institutions in 1 country.
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Abstract
backgroundThe lined sea anemone Edwardsiella lineata is an informative model system for evolutionary-developmental studies of parasitism. In this species, it is possible to compare alternate developmental pathways leading from a larva to either a free-living polyp or a vermiform parasite that inhabits the mesoglea of a ctenophore host. Additionally, E. lineata is confamilial with the model cnidarian Nematostella vectensis, providing an opportunity for comparative genomic, molecular and organismal studies. DESCRIPTION: We generated a reference transcriptome for E. lineata via high-throughput sequencing of RNA isolated from five developmental stages (parasite; parasite-to-larva transition; larva; larva-to-adult transition; adult). The transcriptome comprises 90,440 contigs assembled from >15 billion nucleotides of DNA sequence. Using a molecular clock approach, we estimated the divergence between E. lineata and N. vectensis at 215-364 million years ago. Based on gene ontology and metabolic pathway analyses and gene family surveys (bHLH-PAS, deiodinases, Fox genes, LIM homeodomains, minicollagens, nuclear receptors, Sox genes, and Wnts), the transcriptome of E. lineata is comparable in depth and completeness to N. vectensis. Analyses of protein motifs and revealed extensive conservation between the proteins of these two edwardsiid anemones, although we show the NF-κB protein of E. lineata reflects the ancestral structure, while the NF-κB protein of N. vectensis has undergone a split that separates the DNA-binding domain from the inhibitory domain. All contigs have been deposited in a public database (EdwardsiellaBase), where they may be searched according to contig ID, gene ontology, protein family motif (Pfam), enzyme commission number, and BLAST. The alignment of the raw reads to the contigs can also be visualized via JBrowse.
conclusionsThe transcriptomic data and database described here provide a platform for studying the evolutionary developmental genomics of a derived parasitic life cycle. In addition, these data from E. lineata will aid in the interpretation of evolutionary novelties in gene sequence or structure that have been reported for the model cnidarian N. vectensis (e.g., the split NF-κB locus). Finally, we include custom computational tools to facilitate the annotation of a transcriptome based on high-throughput sequencing data obtained from a "non-model system."
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