Refining the transcriptional landscapes for distinct clades of virulent phages infecting Pseudomonas aeruginosa.

microLife Pub Date : 2024-02-28 eCollection Date: 2024-01-01 DOI:10.1093/femsml/uqae002
Leena Putzeys, Laura Wicke, Maarten Boon, Vera van Noort, Jörg Vogel, Rob Lavigne
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引用次数: 0

Abstract

The introduction of high-throughput sequencing has resulted in a surge of available bacteriophage genomes, unveiling their tremendous genomic diversity. However, our current understanding of the complex transcriptional mechanisms that dictate their gene expression during infection is limited to a handful of model phages. Here, we applied ONT-cappable-seq to reveal the transcriptional architecture of six different clades of virulent phages infecting Pseudomonas aeruginosa. This long-read microbial transcriptomics approach is tailored to globally map transcription start and termination sites, transcription units, and putative RNA-based regulators on dense phage genomes. Specifically, the full-length transcriptomes of LUZ19, LUZ24, 14-1, YuA, PAK_P3, and giant phage phiKZ during early, middle, and late infection were collectively charted. Beyond pinpointing traditional promoter and terminator elements and transcription units, these transcriptional profiles provide insights in transcriptional attenuation and splicing events and allow straightforward validation of Group I intron activity. In addition, ONT-cappable-seq data can guide genome-wide discovery of novel regulatory element candidates, including noncoding RNAs and riboswitches. This work substantially expands the number of annotated phage-encoded transcriptional elements identified to date, shedding light on the intricate and diverse gene expression regulation mechanisms in Pseudomonas phages, which can ultimately be sourced as tools for biotechnological applications in phage and bacterial engineering.

完善感染铜绿假单胞菌的毒性噬菌体不同支系的转录景观。
随着高通量测序技术的引入,噬菌体基因组的数量激增,揭示了噬菌体基因组的巨大多样性。然而,我们目前对感染过程中决定其基因表达的复杂转录机制的了解仅限于少数模式噬菌体。在这里,我们应用ONT-cappable-seq技术揭示了感染铜绿假单胞菌的六个不同支系毒性噬菌体的转录结构。这种长读数微生物转录组学方法专门用于绘制密集噬菌体基因组上的全局转录起始和终止位点、转录单元以及假定的基于 RNA 的调控因子。具体来说,我们对 LUZ19、LUZ24、14-1、YuA、PAK_P3 和巨型噬菌体 phiKZ 在感染早期、中期和晚期的全长转录组进行了集体绘制。除了确定传统的启动子和终止子元件以及转录单元外,这些转录图谱还提供了对转录衰减和剪接事件的深入了解,并可直接验证 I 组内含子的活性。此外,ONT-cappable-seq 数据还能指导在全基因组范围内发现新的候选调控元件,包括非编码 RNA 和核糖开关。这项工作大大增加了迄今为止发现的噬菌体编码转录元件的注释数量,揭示了假单胞菌噬菌体复杂多样的基因表达调控机制,最终可将其作为噬菌体和细菌工程中生物技术应用的工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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CiteScore
5.50
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0.00%
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