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Global transcript structure resolution of high gene density genomes through multi-platform data integration

机译:通过多平台数据整合实现高基因密度基因组的全局转录结构解析

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摘要

Annotation of herpesvirus genomes has traditionally been undertaken through the detection of open reading frames and other genomic motifs, supplemented with sequencing of individual cDNAs. Second generation sequencing and high-density microarray studies have revealed vastly greater herpesvirus transcriptome complexity than is captured by existing annotation. The pervasive nature of overlapping transcription throughout herpesvirus genomes, however, poses substantial problems in resolving transcript structures using these methods alone. We present an approach that combines the unique attributes of Pacific Biosciences Iso-Seq long-read, Illumina short-read and deepCAGE (Cap Analysis of Gene Expression) sequencing to globally resolve polyadenylated isoform structures in replicating Epstein-Barr virus (EBV). Our method, Transcriptome Resolution through Integration of Multi-platform Data (TRIMD), identifies nearly 300 novel EBV transcripts, quadrupling the size of the annotated viral transcriptome. These findings illustrate an array of mechanisms through which EBV achieves functional diversity in its relatively small, compact genome including programmed alternative splicing (e.g. across the IR1 repeats), alternative promoter usage by LMP2 and other latency-associated transcripts, intergenic splicing at the BZLF2 locus, and antisense transcription and pervasive readthrough transcription throughout the genome.
机译:疱疹病毒基因组的注释传统上是通过检测开放阅读框和其他基因组基序进行的,并辅以单个cDNA的测序。第二代测序和高密度微阵列研究表明,疱疹病毒转录组的复杂性远大于现有注释所捕获的复杂性。然而,在整个疱疹病毒基因组中重叠转录的普遍性,在仅使用这些方法来解决转录物结构方面就构成了重大问题。我们提出了一种方法,该方法结合了Pacific Biosciences Iso-Seq长读,Illumina短读和deepCAGE(基因表达的上限分析)测序的独特属性,可在复制爱泼斯坦-巴尔病毒(EBV)的过程中全局解决聚腺苷酸同工型结构。我们的方法是通过整合多平台数据(TRIMD)进行转录组解析,可识别将近300种新颖的EBV转录本,是带注释的病毒转录组的四倍。这些发现说明了一系列机制,通过这些机制,EBV在其相对较小的紧凑基因组中实现了功能多样性,包括程序化的可变剪接(例如,跨IR1重复序列),LMP2和其他潜伏期相关转录本的选择性启动子使用,BZLF2基因座的基因间剪接,以及整个基因组中的反义转录和普遍的通读转录。

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