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  • 标题:Time-course profiling of bovine alphaherpesvirus 1.1 transcriptome using multiplatform sequencing
  • 其他标题:Time-course profiling of bovine alphaherpesvirus 1.1 transcriptome using multiplatform sequencing
  • 本地全文:下载
  • 作者:Norbert Moldován ; Gábor Torma ; Gábor Gulyás
  • 期刊名称:Scientific Reports
  • 电子版ISSN:2045-2322
  • 出版年度:2020
  • 卷号:10
  • 期号:1
  • 页码:1-14
  • DOI:10.1038/s41598-020-77520-1
  • 出版社:Springer Nature
  • 摘要:Long-read sequencing (LRS) has become a standard approach for transcriptome analysis in recent years. Bovine alphaherpesvirus 1 (BoHV-1) is an important pathogen of cattle worldwide. This study reports the profiling of the dynamic lytic transcriptome of BoHV-1 using two long-read sequencing (LRS) techniques, the Oxford Nanopore Technologies MinION, and the LoopSeq synthetic LRS methods, using multiple library preparation protocols. In this work, we annotated viral mRNAs and non-coding transcripts, and a large number of transcript isoforms, including transcription start and end sites, as well as splice variants of BoHV-1. Our analysis demonstrated an extremely complex pattern of transcriptional overlaps.
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