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Identification of phenylpropanoid biosynthetic genes and phenylpropanoid accumulation by transcriptome analysis of Lycium chinense
- Source :
- BMC Genomics
- Publisher :
- Springer Nature
-
Abstract
- Background Lycium chinense is well known in traditional Chinese herbal medicine for its medicinal value and composition, which have been widely studied for decades. However, further research on Lycium chinense is limited due to the lack of transcriptome and genomic information. Results The transcriptome of L. chinense was constructed by using an Illumina HiSeq 2000 sequencing platform. All 56,526 unigenes with an average length of 611 nt and an N50 equaling 848 nt were generated from 58,192,350 total raw reads after filtering and assembly. Unigenes were assembled by BLAST similarity searches and annotated with Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) orthology identifiers. Using these transcriptome data, the majority of genes that are associated with phenylpropanoid biosynthesis in L. chinense were identified. In addition, phenylpropanoid biosynthesis-related gene expression and compound content in different organs were analyzed. We found that most phenylpropanoid genes were highly expressed in the red fruits, leaves, and flowers. An important phenylpropanoid, chlorogenic acid, was also found to be extremely abundant in leaves. Conclusions Using Illumina sequencing technology, we have identified the function of novel homologous genes that regulate metabolic pathways in Lycium chinense.
- Subjects :
- Genes, Plant
Lignin
Transcriptome
Anthocyanins
Lycium chinense
Contig Mapping
Genetics
Phenylpropanoids
KEGG
Medicine, Chinese Traditional
Gene
Illumina dye sequencing
Flavonoids
Plants, Medicinal
biology
Phenylpropanoid
Gene Expression Profiling
Illumina sequencing
food and beverages
Molecular Sequence Annotation
Chlorogenic acid
Lycium
biology.organism_classification
Biosynthetic Pathways
Gene expression profiling
Gene Ontology
Organ Specificity
Research Article
Biotechnology
Subjects
Details
- Language :
- English
- ISSN :
- 14712164
- Volume :
- 14
- Issue :
- 1
- Database :
- OpenAIRE
- Journal :
- BMC Genomics
- Accession number :
- edsair.doi.dedup.....0ea989698a0d605d51f066e8090ff882
- Full Text :
- https://doi.org/10.1186/1471-2164-14-802