多平台全基因组测序用于结核病的临床和监测应用
Joseph Thorpe1, Waritta Sawaengdee2, Daniel Ward1
1Department of Infection Biology, Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, Keppel Street, London, WC1E 7HT, UK.
Scientific reports
|March 2, 2024
概括
使用牛津纳米孔技术 (ONT) 进行全基因组测序,尽管错误率更高,但对结核病控制有希望. ONT有助于识别耐药性和传播链,这对于高负担地区的精准医学至关重要.
科学领域:
- 基因组学就是基因组学.
- 微生物学 微生物学
- 流行病学 流行病学
背景情况:
- 全基因组测序 (WGS) 对结核病 (TB) 控制至关重要.
- 越来越多地使用像Illumina和牛津纳米孔技术 (ONT) 这样的高通量测序平台.
- ONT技术以更高的错误率而闻名,并且在基因组研究中不那么成熟.
研究的目的:
- 为了比较Illumina和ONT平台对Mycobacterium结核病的测序输出.
- 分析来自泰国的临床分离样本,寻找血统,耐药性和传播模式.
- 评估ONT在资源有限的环境中对结核病基因组研究的潜力.
主要方法:
- 使用Illumina和ONT平台对59个临床Mycobacterium结核病分离体进行全基因组测序.
- 对血统,耐药性和传播链识别的序列数据的分析.
- 与泰国的公开可用的WGS数据进行比较 (n=1456).
主要成果:
- 隔离物主要属于1和2系,具有一致的耐药性概况,包括多药耐药菌株.
- 与Illumina相比,ONT数据分析显示了更长的基因分支,表明错误率更高.
- 整合较大的数据集,确定了潜在的传染群体和大量的多药耐药分离物.
- 在pe/ppe基因中,ONT确定了菌株特定的结构变异,是疫苗开发的潜在目标.
结论:
- 尽管存在局限性,但ONT测序是结核病基因组研究的一个有希望的方法.
- ONT支持精准医学和公共卫生决策,特别是在基础设施较不发达的地区.
- ONT检测结构变异的能力及其在资源有限的环境中的潜力是结核病控制的重要优势.
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