College of Agriculture, Shanxi Agricultural University, Taigu, 030801, China.
College of Life Science, Shanxi Agricultural University, Taigu, 030801, China.
Sci Rep. 2018 Feb 2;8(1):2197. doi: 10.1038/s41598-018-20181-y.
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.
本研究旨在利用单分子实时 (SMRT) 测序生成粉虱蚜小蜂 (Agasicles hygrophila) 的全长转录组。采集粉虱蚜小蜂的四个发育阶段,包括卵、幼虫、蛹和成虫,用于分离总 RNA。将混合样本用于 SMRT 测序,以生成全长转录组。基于获得的转录组数据,进行了选择性剪接事件、简单重复序列 (SSR) 分析、编码序列预测、转录本功能注释和长非编码 RNA (lncRNA) 预测。共生成 9.45Gb 的清洁读取数据,其中插入物 (ROI) 的 335,045 个读取和全长非嵌合 (FLNC) 的 158,085 个读取。FLNC 读取的转录本聚类分析确定了 40,004 个共识异构体,其中包括 31,015 个高质量异构体。去除冗余读取后,获得 28,982 个转录本。共预测了 145 个选择性剪接事件。此外,基于 SSR 分析鉴定了 12,753 个 SSR 和 16,205 个编码序列。此外,24,031 个转录本在 8 个功能数据库中被注释,预测了 4,198 个 lncRNA。这是首次对粉虱蚜小蜂的全长转录组进行 SMRT 测序的研究。获得的转录组可能有助于进一步探索粉虱蚜小蜂的遗传数据,并揭示这种昆虫与生态系统之间的相互作用。