Greig David R, Jenkins Claire, Gharbia Saheer E, Dallman Timothy J
National Infection Service, Public Health England, London, NW9 5EQ, UK.
Division of Infection and Immunity, The Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Easter Bush, EH25 9RG, UK.
Microb Genom. 2021 Mar;7(3). doi: 10.1099/mgen.0.000545. Epub 2021 Mar 8.
Compared to short-read sequencing data, long-read sequencing facilitates single contiguous assemblies and characterization of the prophage region of the genome. Here, we describe our methodological approach to using Oxford Nanopore Technology (ONT) sequencing data to quantify genetic relatedness and to look for microevolutionary events in the core and accessory genomes to assess the within-outbreak variation of four genetically and epidemiologically linked isolates. Analysis of both Illumina and ONT sequencing data detected one SNP between the four sequences of the outbreak isolates. The variant calling procedure highlighted the importance of masking homologous sequences in the reference genome regardless of the sequencing technology used. Variant calling also highlighted the systemic errors in ONT base-calling and ambiguous mapping of Illumina reads that results in variations in the genetic distance when comparing one technology to the other. The prophage component of the outbreak strain was analysed, and nine of the 16 prophages showed some similarity to the prophage in the Sakai reference genome, including the -encoding phage. Prophage comparison between the outbreak isolates identified minor genome rearrangements in one of the isolates, including an inversion and a deletion event. The ability to characterize the accessory genome in this way is the first step to understanding the significance of these microevolutionary events and their impact on the evolutionary history, virulence and potentially the likely source and transmission of this zoonotic, foodborne pathogen.
与短读长测序数据相比,长读长测序有助于对基因组的前噬菌体区域进行单一连续组装和特征分析。在此,我们描述了我们的方法,即使用牛津纳米孔技术(ONT)测序数据来量化遗传相关性,并在核心基因组和辅助基因组中寻找微观进化事件,以评估四个遗传和流行病学相关分离株在疫情爆发期间的变异情况。对Illumina和ONT测序数据的分析在疫情爆发分离株的四个序列之间检测到一个单核苷酸多态性(SNP)。变异检测程序强调了在参考基因组中屏蔽同源序列的重要性,而不管使用何种测序技术。变异检测还突出了ONT碱基识别中的系统误差以及Illumina读段的模糊映射,这导致在比较两种技术时遗传距离出现差异。对疫情爆发菌株的前噬菌体成分进行了分析,16个前噬菌体中有9个与酒井参考基因组中的前噬菌体有一定相似性,包括编码噬菌体。疫情爆发分离株之间的前噬菌体比较在其中一个分离株中发现了微小的基因组重排情况,包括一次倒位和一次缺失事件。以这种方式对辅助基因组进行特征分析是理解这些微观进化事件的意义及其对进化历史、毒力的影响以及潜在地对这种人畜共患食源性病原体的可能来源和传播的影响的第一步。