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Integrated transcriptome catalog of Tenualosa ilisha as a resource for gene discovery and expression profiling

The silver pride of Bangladesh, migratory shad, Tenualosa ilisha (Hilsa), makes the highest contribution to the total fish production of Bangladesh. Despite its noteworthy contribution, a well-annotated transcriptome data is not available. Here we report a transcriptomic catalog of Hilsa, constructe...

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Detalles Bibliográficos
Autores principales: Chowdhury, Md. Arko Ayon, Islam, Md. Rakibul, Amin, Al, Mou, Sadia Noor, Ullah, Kazi Newaz, Baten, Abdul, Shoyaib, Mohammad, Ali, Amin Ahsan, Chowdhury, Farhana Tasnim, Rahi, Md. Lifat, Khan, Haseena, Amin, M Ashraful, Islam, Mohammad Riazul
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10106452/
https://www.ncbi.nlm.nih.gov/pubmed/37062771
http://dx.doi.org/10.1038/s41597-023-02132-z
Descripción
Sumario:The silver pride of Bangladesh, migratory shad, Tenualosa ilisha (Hilsa), makes the highest contribution to the total fish production of Bangladesh. Despite its noteworthy contribution, a well-annotated transcriptome data is not available. Here we report a transcriptomic catalog of Hilsa, constructed by assembling RNA-Seq reads from different tissues of the fish including brain, gill, kidney, liver, and muscle. Hilsa fish were collected from different aquatic habitats (fresh, brackish, and sea water) and the sequencing was performed in the next generation sequencing (NGS) platform. De novo assembly of the sequences obtained from 46 cDNA libraries revealed 462,085 transcript isoforms that were subsequently annotated using the Universal Protein Resource Knowledgebase (UniPortKB) as a reference. Starting from the sampling to final annotation, all the steps along with the workflow are reported here. This study will provide a significant resource for ongoing and future research on Hilsa for transcriptome based expression profiling and identification of candidate genes.