Li, Lin and Liu, Houbo and Wen, Weie and Huang, Ceyin and Li, Xiaomei and Xiao, Shiji and Wu, Mingkai and Shi, Junhua and Xu, Delin (2020) Full Transcriptome Analysis of Callus Suspension Culture System of Bletilla striata. Frontiers in Genetics, 11. ISSN 1664-8021
pubmed-zip/versions/2/package-entries/fgene-11-00995-r1/fgene-11-00995.pdf - Published Version
Download (3MB)
Abstract
Background: Bletilla striata has been widely used in the pharmacology industry. To effectively produce the secondary metabolites through suspension cultured cells of B. striata, it is important to exploring the full-length transcriptome data and the genes related to cell growth and chemical producing of all culture stages. We applied a combination of Real-Time Sequencing of Single Molecule (SMRT) and second-generation sequencing (SGS) to generate the complete and full-length transcriptome of B. striata suspension cultured cells.
Methods: The B. striata transcriptome was formed in de novo way by using PacBio isoform sequencing (Iso-Seq) on a pooled RNA sample derived from 23 samples of 10 culture stages, to explore the potential for capturing full-length transcript isoforms. All unigenes were obtained after splicing, assembling, and clustering, and corrected by the SGS results. The obtained unigenes were compared with the databases, and the functions were annotated and classified.
Results and conclusions: A total of 100,276 high-quality full-length transcripts were obtained, with an average length of 2530 bp and an N50 of 3302 bp. About 52% of total sequences were annotated against the Gene Ontology, 53,316 unigenes were hit by KOG annotations and divided into 26 functional categories, 80,020 unigenes were mapped by KEGG annotations and clustered into 363 pathways. Furthermore, 15,133 long-chain non-coding RNAs (lncRNAs) were detected. And 68,996 coding sequences were identified based on SSR analysis, among which 31 pairs of primers selected at random were amplified and obtained stable bands. In conclusion, our results provide new full-length transcriptome data and genetic resources for identifying growth and metabolism-related genes, which provide a solid foundation for further research on its growth regulation mechanisms and genetic engineering breeding mechanisms of B. striata.
Item Type: | Article |
---|---|
Subjects: | Digital Academic Press > Medical Science |
Depositing User: | Unnamed user with email support@digiacademicpress.org |
Date Deposited: | 25 Jan 2023 10:17 |
Last Modified: | 01 Jul 2024 09:12 |
URI: | http://science.researchersasian.com/id/eprint/209 |