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Sequencing and de novo transcriptome assembly of Anthopleura dowii Verrill (1869), from Mexico

Next-generation technologies for determination of genomics and transcriptomics composition have a wide range of applications. Moreover, the development of tools for big data set analysis has allowed the identification of molecules and networks involved in metabolism, evolution or behavior. By natura...

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Detalles Bibliográficos
Autores principales: Ayala-Sumuano, Jorge-Tonatiuh, Licea-Navarro, Alexei, Rudiño-Piñera, Enrique, Rodríguez, Estefanía, Rodríguez-Almazán, Claudia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5200871/
https://www.ncbi.nlm.nih.gov/pubmed/28066713
http://dx.doi.org/10.1016/j.gdata.2016.11.022
Descripción
Sumario:Next-generation technologies for determination of genomics and transcriptomics composition have a wide range of applications. Moreover, the development of tools for big data set analysis has allowed the identification of molecules and networks involved in metabolism, evolution or behavior. By natural habitats aquatic organisms have implemented molecular strategies for survival, including the production and secretion of toxic compounds for their predators; therefore these organisms are possible sources of proteins or peptides with potential biotechnological application. In the last decade anthozoans, mainly octocorals but also sea anemones, have been proben to be a source of natural products. Members of the genus Anthopleura are one of the best known and most studied sea anemones because they are common constituents of rocky intertidal communities and show interesting ecological and biological phenomena (e.g. intraespecific competition, symbiosis, etc.); however, many aspects of these taxa remain in need to be analyzed. This work describes the transcriptome sequencing of Anthopleura dowii Verrill, 1869 (Cnidaria: Anthozoa: Actiniaria); this is the first report of this kind for these species. The data set used to construct the transcriptome has been deposited on NCBI's database. Illumina sequence reads are available under BioProject accession number PRJNA329297 and Sequence Read Archive under accession number SRP078992.