Sagar S. Patel , Dipti B. Shah , Hetalkumar J. Panchal

1 G. H. Patel Post Graduate Department of Computer Science and Technology, Sardar Patel University, Vallabh Vidyanagar, Gujarat-388120, India.
2 Gujarat Agricultural Biotechnology Institute, Navsari Agricultural University, Surat, Gujarat- 395007, India.
Author    Correspondence author
Genomics and Applied Biology, 2015, Vol. 6, No. 2   doi: 10.5376/gab.2015.06.0002
Received: 19 Nov., 2014    Accepted: 15 Jan., 2015    Published: 29 Jan., 2015

This is an open access article published under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Vicia sativa L. which is also known as common vetch; is a nitrogen fixing leguminous plant in the family Fabaceae. Recently, next-generation sequencing technology, termed RNA-seq, has provided a powerful approach for analysing the Transcriptome. This study is focus on RNA-seq of Vicia sativa L. of SRR403901 from NCBI database for de novo Transcriptome analysis. A total of 12.4 million single reads were generated with N50 of 588 bp. Sequence assembly contained total 22748 contigs which is further search with known proteins, a total of 7652 genes were identified. Among these, only 500 unigenes were annotated with 18761 gene ontology (GO) functional categories and sequences mapped to 122 pathways by searching against the Kyoto Encyclopedia of Genes and Genomes pathway database (KEGG). These data will be useful for gene discovery and functional studies and the large number of transcripts reported in the current study will serve as a valuable genetic resource of the Vicia sativa L..

Transcriptome; Bioinformatics; Vicia sativa L.