De novo characterization of the Lycium ruthenicum transcriptome and analysis of its digital gene expression profiles during fruit development and ripening
Author(s) -
Yong Peng,
Huiqin Ma,
Shangwu Chen
Publication year - 2016
Publication title -
archives of biological sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.217
H-Index - 25
eISSN - 1821-4339
pISSN - 0354-4664
DOI - 10.2298/abs160123125p
Subject(s) - kegg , lycium , contig , biology , sequence assembly , transcriptome , gene , ripening , rna seq , genome , computational biology , genetics , gene expression , botany , medicine , alternative medicine , pathology
Lycium ruthenicum Murr., which belongs to the family Solanaceae, is a resource plant for Chinese traditional medicine and nutraceutical foods. In this study, RNA sequencing was applied to obtain raw reads of L. ruthenicum fruit at different stages of ripening, and a de novo assembly of its sequence was performed. Approximately 52.45 million 100-bp paired-end raw reads were generated from the samples by deep RNA-seq analysis. These short reads were assembled to obtain 164814 contigs, and the contigs were assembled into 84968 non-redundant unigenes using the Trinity method. Assembled sequences were annotated with gene descriptions, gene ontology, clusters of orthologous group and KEGG (Kyoto Encyclopedia of Genes and Genomes)pathway terms. Digital gene expression analysis was applied to compare gene-expression patterns at different fruit developmental stages. These results contribute to existing sequence resources for Lycium spp. during the fruit-ripening stages, which is valuable for further functional studies of genes involved in L. ruthenicum fruit nutraceutical quality
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