Posidonia oceanica is an endemic seagrass in the Mediterranean Sea, where it provides important ecosystem services and sustains a rich and diverse ecosystem. P. oceanica meadows extend from the surface to 40 meters depth. With the aim of boosting research in this iconic species, we generated a comprehensive RNA-Seq data set for P. oceanica by sequencing specimens collected at two depths and two times during the day. With this approach we attempted to capture the transcriptional diversity associated with change in light and other depth-related environmental factors. Using this extensive data set we generated gene predictions and identified an extensive catalogue of potential Simple Sequence Repeats (SSR) markers. The data generated here will open new avenues for the analysis of population genetic features and functional variation in P. oceanica. In total, 79,235 contigs were obtained by the assembly of 70,453,120 paired end reads. 43,711 contigs were successfully annotated. A total of 17,436 SSR were identified within 13,912 contigs.

Transcriptome characterisation and simple sequence repeat marker discovery in the seagrass Posidonia oceanica / D. D'Esposito, L. Orru, E. Dattolo, L. Bernardo, A. Lamontara, L. Orsini, I.A. Serra, S. Mazzuca, G. Procaccini. - In: SCIENTIFIC DATA. - ISSN 2052-4463. - 3:1(2016), pp. 160115.1-160115.9. [10.1038/sdata.2016.115]

Transcriptome characterisation and simple sequence repeat marker discovery in the seagrass Posidonia oceanica

L. Bernardo;
2016

Abstract

Posidonia oceanica is an endemic seagrass in the Mediterranean Sea, where it provides important ecosystem services and sustains a rich and diverse ecosystem. P. oceanica meadows extend from the surface to 40 meters depth. With the aim of boosting research in this iconic species, we generated a comprehensive RNA-Seq data set for P. oceanica by sequencing specimens collected at two depths and two times during the day. With this approach we attempted to capture the transcriptional diversity associated with change in light and other depth-related environmental factors. Using this extensive data set we generated gene predictions and identified an extensive catalogue of potential Simple Sequence Repeats (SSR) markers. The data generated here will open new avenues for the analysis of population genetic features and functional variation in P. oceanica. In total, 79,235 contigs were obtained by the assembly of 70,453,120 paired end reads. 43,711 contigs were successfully annotated. A total of 17,436 SSR were identified within 13,912 contigs.
Computational biology and bioinformatics; Plant sciences
Settore BIOS-08/A - Biologia molecolare
Settore BIOS-01/C - Botanica ambientale e applicata
Settore BIOS-02/A - Fisiologia vegetale
2016
20-dic-2016
Article (author)
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/1205224
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