Transcriptome-wide survey of pseudorabies virus using next- and third-generation sequencing platforms

被引:19
|
作者
Tombacz, Dora [1 ]
Sharon, Donald [2 ]
Szucs, Attila [1 ]
Moldovan, Norbert [1 ]
Snyder, Michael [2 ]
Boldogkoi, Zsolt [1 ]
机构
[1] Univ Szeged, Dept Med Biol, Fac Med, H-6720 Szeged, Hungary
[2] Stanford Univ, Sch Med, Dept Genet, Stanford, CA 94305 USA
关键词
IMMUNIZATION; ALIGNMENT; PIGS; RNA;
D O I
10.1038/sdata.2018.119
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Pseudorabies virus (PRV) is an alphaherpesvirus of swine. PRV has a large double-stranded DNA genome and, as the latest investigations have revealed, a very complex transcriptome. Here, we present a large RNA-Seq dataset, derived from both short-and long-read sequencing. The dataset contains 1.3 million 100 bp paired-end reads that were obtained from the Illumina random-primed libraries, as well as 10 million 50 bp single-end reads generated by the Illumina polyA-seq. The Pacific Biosciences RSII non-amplified method yielded 57,021 reads of inserts (ROIs) aligned to the viral genome, the amplified method resulted in 158,396 PRV-specific ROIs, while we obtained 12,555 ROIs using the Sequel platform. The Oxford Nanopore's MinION device generated 44,006 reads using their regular cDNA-sequencing method, whereas 29,832 and 120,394 reads were produced by using the direct RNA-sequencing and the Cap-selection protocols, respectively. The raw reads were aligned to the PRV reference genome (KJ717942.1). Our provided dataset can be used to compare different sequencing approaches, library preparation methods, as well as for validation and testing bioinformatic pipelines. [GRAPHICS] .
引用
收藏
页数:13
相关论文
共 50 条
  • [1] Transcriptome-wide survey of pseudorabies virus using next- and third-generation sequencing platforms
    Dóra Tombácz
    Donald Sharon
    Attila Szűcs
    Norbert Moldován
    Michael Snyder
    Zsolt Boldogkői
    Scientific Data, 5
  • [2] Targeting RNA with Next- and Third-Generation Sequencing Improves Pathogen Identification in Clinical Samples
    Zhao, Na
    Cao, Jiabao
    Xu, Jiayue
    Liu, Beibei
    Liu, Bin
    Chen, Dingqiang
    Xia, Binbin
    Chen, Liang
    Zhang, Wenhui
    Zhang, Yuqing
    Zhang, Xuan
    Duan, Zhimei
    Wang, Kaifei
    Xie, Fei
    Xiao, Kun
    Yan, Wei
    Xie, Lixin
    Zhou, Hongwei
    Wang, Jun
    ADVANCED SCIENCE, 2021, 8 (23)
  • [3] The Transition from Cancer "omics" to "epi-omics" through Next- and Third-Generation Sequencing
    Athanasopoulou, Konstantina
    Daneva, Glykeria N.
    Boti, Michaela A.
    Dimitroulis, Georgios
    Adamopoulos, Panagiotis G.
    Scorilas, Andreas
    LIFE-BASEL, 2022, 12 (12):
  • [4] The RNA structurome: transcriptome-wide structure probing with next-generation sequencing
    Kwok, Chun Kit
    Tang, Yin
    Assmann, Sarah M.
    Bevilacqua, Philip C.
    TRENDS IN BIOCHEMICAL SCIENCES, 2015, 40 (04) : 221 - 232
  • [5] TRANSCRIPTOME-WIDE ANALYSIS USING NANOPORE THIRD GENERATION SEQUENCING IN A RAT GLIOBLASTOMA MODEL: PROOF OF PRINCIPLE
    Jejaroenpun, Piroon
    Wongsurawat, Thidathip
    DeLoose, Annick
    Ussery, David
    Nookaew, Intawat
    Day, J. D.
    Rodriguez, Analiz
    NEURO-ONCOLOGY, 2019, 21 : 101 - 101
  • [6] Benchmarking second and third-generation sequencing platforms for microbial metagenomics
    Meslier, Victoria
    Quinquis, Benoit
    Da Silva, Kevin
    Plaza Onate, Florian
    Pons, Nicolas
    Roume, Hugo
    Podar, Mircea
    Almeida, Mathieu
    SCIENTIFIC DATA, 2022, 9 (01)
  • [7] Benchmarking second and third-generation sequencing platforms for microbial metagenomics
    Victoria Meslier
    Benoit Quinquis
    Kévin Da Silva
    Florian Plaza Oñate
    Nicolas Pons
    Hugo Roume
    Mircea Podar
    Mathieu Almeida
    Scientific Data, 9
  • [8] Transcriptome-wide analysis of a baculovirus using nanopore sequencing
    Boldogkoi, Zsolt
    Moldovan, Norbert
    Szucs, Attila
    Tombacz, Dora
    SCIENTIFIC DATA, 2018, 5
  • [9] Next-Generation Sequencing (NGS) and Third-Generation Sequencing (TGS) for the Diagnosis of Thalassemia
    Hassan, Syahzuwan
    Bahar, Rosnah
    Johan, Muhammad Farid
    Mohamed Hashim, Ezzeddin Kamil
    Abdullah, Wan Zaidah
    Esa, Ezalia
    Abdul Hamid, Faidatul Syazlin
    Zulkafli, Zefarina
    DIAGNOSTICS, 2023, 13 (03)
  • [10] Transcriptome-wide analysis of a baculovirus using nanopore sequencing
    Zsolt Boldogkői
    Norbert Moldován
    Attila Szűcs
    Dóra Tombácz
    Scientific Data, 5