Department of Medical Microbiology, Institute of Microbiology, Faculty of Biology, University of Warsaw, Poland.
Department of Biology (DBIO), University of Florence, via Madonna del Piano 10, Sesto Fiorentino 50019, Italy.
Infect Genet Evol. 2023 Nov;115:105508. doi: 10.1016/j.meegid.2023.105508. Epub 2023 Sep 26.
Spoligotyping is one of the molecular typing methods widely used for exploring the genetic variety of Mycobacterium tuberculosis. The aim of this study was to compare the spoligoprofiles of M. tuberculosis clinical isolates, obtained using in vitro and in silico approaches. The study included 230 M. tuberculosis isolates, recovered from Poland and Lithuania between 2018 and 2021. Spoligotyping in vitro was performed with a commercially available kit. Whole genome sequencing (WGS) was done with Illumina NovaSeq 6000 sequencer. Spoligotype International Types (SITs) were assigned according to the SITVIT2 database or using three different in silico tools, and based on WGS data, namely SpoTyping, SpolPred, and lorikeet. Upon in vitro spoligotyping, the isolates produced 65 different spoligotypes. Spoligotypes inferred from the WGS data were congruent with in vitro generated patterns in 81.7% (188/230) for lorikeet and 81.3% (187/230) for SpolPred and SpoTyping. Spacers 18 and 31 produced the highest ratio of discrepant results between in vitro and in silico approaches, with their signals discordantly assigned for 15 (6.5%) and 9 (3.9%) isolates, respectively. All three in silico approaches used were similarly efficient for M. tuberculosis spoligotype prediction. However, only SpoTyping could predict spoligotypes without a need for manual curation. Thus, we consider it as the most accurate tool. Its use is further advocated by the shortest time of analysis. A relatively high (ca. 20%) discordance between in vitro and in silico spoligotyping results was observed. While we discourage comparing conventional spoligotyping with in silico equivalents, we advise the use of the latter, as it improves the accuracy of spoligopatterns, and thus depicts the relatedness between the isolates more reliably.
spoligotyping 是广泛用于探索结核分枝杆菌遗传多样性的分子分型方法之一。本研究旨在比较使用体外和计算机模拟方法获得的结核分枝杆菌临床分离株 spoligoprofiles。该研究包括 2018 年至 2021 年期间在波兰和立陶宛回收的 230 株结核分枝杆菌分离株。体外 spoligotyping 使用市售试剂盒进行。全基因组测序 (WGS) 使用 Illumina NovaSeq 6000 测序仪进行。根据 SITVIT2 数据库或使用三种不同的计算机模拟工具(基于 WGS 数据的 SpoTyping、SpolPred 和 lorikeet)分配 spoligotype 国际类型 (SIT)。通过体外 spoligotyping,分离株产生了 65 种不同的 spoligotypes。基于 WGS 数据推断的 spoligotypes 在 81.7%(188/230)的 lorikeet 和 81.3%(187/230)的 SpolPred 和 SpoTyping 中与体外生成的模式一致。间隔区 18 和 31 在体外和计算机模拟方法之间产生最高比例的不一致结果,其信号分别为 15 个(6.5%)和 9 个(3.9%)分离株不一致分配。用于结核分枝杆菌 spoligotype 预测的三种计算机模拟方法都同样有效。然而,只有 SpoTyping 可以在不需要手动策管的情况下预测 spoligotypes。因此,我们认为它是最准确的工具。其最短的分析时间进一步支持其使用。在体外和计算机模拟 spoligotyping 结果之间观察到相对较高(约 20%)的不一致。虽然我们不鼓励将传统 spoligotyping 与计算机模拟等效物进行比较,但我们建议使用后者,因为它可以提高 spoligopatterns 的准确性,从而更可靠地描绘分离株之间的相关性。