Cargando…

SMRT sequencing of full-length transcriptome of flea beetle Agasicles hygrophila (Selman and Vogt)

This study was aimed at generating the full-length transcriptome of flea beetle Agasicles hygrophila (Selman and Vogt) using single-molecule real-time (SMRT) sequencing. Four developmental stages of A. hygrophila, including eggs, larvae, pupae, and adults were harvested for isolating total RNA. The...

Descripción completa

Detalles Bibliográficos
Autores principales: Jia, Dong, Wang, Yuanxin, Liu, Yanhong, Hu, Jun, Guo, Yanqiong, Gao, Lingling, Ma, Ruiyan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5797098/
https://www.ncbi.nlm.nih.gov/pubmed/29396453
http://dx.doi.org/10.1038/s41598-018-20181-y
Descripción
Sumario:This study was aimed at generating the full-length transcriptome of flea beetle Agasicles hygrophila (Selman and Vogt) using single-molecule real-time (SMRT) sequencing. Four developmental stages of A. hygrophila, including eggs, larvae, pupae, and adults were harvested for isolating total RNA. The mixed samples were used for SMRT sequencing to generate the full-length transcriptome. Based on the obtained transcriptome data, alternative splicing event, simple sequence repeat (SSR) analysis, coding sequence prediction, transcript functional annotation, and lncRNA prediction were performed. Total 9.45 Gb of clean reads were generated, including 335,045 reads of insert (ROI) and 158,085 full-length non-chimeric (FLNC) reads. Transcript clustering analysis of FLNC reads identified 40,004 consensus isoforms, including 31,015 high-quality ones. After removing redundant reads, 28,982 transcripts were obtained. Total 145 alternative splicing events were predicted. Additionally, 12,753 SSRs and 16,205 coding sequences were identified based on SSR analysis. Furthermore, 24,031 transcripts were annotated in eight functional databases, and 4,198 lncRNAs were predicted. This is the first study to perform SMRT sequencing of the full-length transcriptome of A. hygrophila. The obtained transcriptome may facilitate further exploration of the genetic data of A. hygrophila and uncover the interactions between this insect and the ecosystem.