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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...

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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
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author Jia, Dong
Wang, Yuanxin
Liu, Yanhong
Hu, Jun
Guo, Yanqiong
Gao, Lingling
Ma, Ruiyan
author_facet Jia, Dong
Wang, Yuanxin
Liu, Yanhong
Hu, Jun
Guo, Yanqiong
Gao, Lingling
Ma, Ruiyan
author_sort Jia, Dong
collection PubMed
description 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.
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spelling pubmed-57970982018-02-12 SMRT sequencing of full-length transcriptome of flea beetle Agasicles hygrophila (Selman and Vogt) Jia, Dong Wang, Yuanxin Liu, Yanhong Hu, Jun Guo, Yanqiong Gao, Lingling Ma, Ruiyan Sci Rep Article 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. Nature Publishing Group UK 2018-02-02 /pmc/articles/PMC5797098/ /pubmed/29396453 http://dx.doi.org/10.1038/s41598-018-20181-y Text en © The Author(s) 2018 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Jia, Dong
Wang, Yuanxin
Liu, Yanhong
Hu, Jun
Guo, Yanqiong
Gao, Lingling
Ma, Ruiyan
SMRT sequencing of full-length transcriptome of flea beetle Agasicles hygrophila (Selman and Vogt)
title SMRT sequencing of full-length transcriptome of flea beetle Agasicles hygrophila (Selman and Vogt)
title_full SMRT sequencing of full-length transcriptome of flea beetle Agasicles hygrophila (Selman and Vogt)
title_fullStr SMRT sequencing of full-length transcriptome of flea beetle Agasicles hygrophila (Selman and Vogt)
title_full_unstemmed SMRT sequencing of full-length transcriptome of flea beetle Agasicles hygrophila (Selman and Vogt)
title_short SMRT sequencing of full-length transcriptome of flea beetle Agasicles hygrophila (Selman and Vogt)
title_sort smrt sequencing of full-length transcriptome of flea beetle agasicles hygrophila (selman and vogt)
topic Article
url 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
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