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SeqSero2:利用全基因组测序数据进行快速且改进的血清型测定。

SeqSero2: Rapid and Improved Serotype Determination Using Whole-Genome Sequencing Data.

机构信息

Center for Food Safety, University of Georgia, Griffin, Georgia, USA.

Division of Foodborne, Waterborne and Environmental Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.

出版信息

Appl Environ Microbiol. 2019 Nov 14;85(23). doi: 10.1128/AEM.01746-19. Print 2019 Dec 1.

Abstract

SeqSero, launched in 2015, is a software tool for serotype determination from whole-genome sequencing (WGS) data. Despite its routine use in public health and food safety laboratories in the United States and other countries, the original SeqSero pipeline is relatively slow (minutes per genome using sequencing reads), is not optimized for draft genome assemblies, and may assign multiple serotypes for a strain. Here, we present SeqSero2 (github.com/denglab/SeqSero2; denglab.info/SeqSero2), an algorithmic transformation and functional update of the original SeqSero. Major improvements include (i) additional sequence markers for identification of species and subspecies and certain serotypes, (ii) a k-mer based algorithm for rapid serotype prediction from raw reads (seconds per genome) and improved serotype prediction from assemblies, and (iii) a targeted assembly approach for specific retrieval of serotype determinants from WGS for serotype prediction, new allele discovery, and prediction troubleshooting. Evaluated using 5,794 genomes representing 364 common U.S. serotypes, including 2,280 human isolates of 117 serotypes from the National Antimicrobial Resistance Monitoring System, SeqSero2 is up to 50 times faster than the original SeqSero while maintaining equivalent accuracy for raw reads and substantially improving accuracy for assemblies. SeqSero2 further suggested that 3% of the tested genomes contained reads from multiple serotypes, indicating a use for contamination detection. In addition to short reads, SeqSero2 demonstrated potential for accurate and rapid serotype prediction directly from long nanopore reads despite base call errors. Testing of 40 nanopore-sequenced genomes of 17 serotypes yielded a single H antigen misidentification. Serotyping is the basis of public health surveillance of It remains a first-line subtyping method even as surveillance continues to be transformed by whole-genome sequencing. SeqSero allows the integration of serotyping into a whole-genome-sequencing-based laboratory workflow while maintaining continuity with the classic serotyping scheme. SeqSero2, informed by extensive testing and application of SeqSero in the United States and other countries, incorporates important improvements and updates that further strengthen its application in routine and large-scale surveillance of by whole-genome sequencing.

摘要

SeqSero 于 2015 年推出,是一种用于从全基因组测序 (WGS) 数据中确定血清型的软件工具。尽管在美国和其他国家的公共卫生和食品安全实验室中已常规使用,但原始的 SeqSero 管道相对较慢(使用测序reads 每分钟一个基因组),未针对草图基因组组装进行优化,并且可能为一个菌株分配多个血清型。在这里,我们介绍了 SeqSero2(github.com/denglab/SeqSero2; denglab.info/SeqSero2),这是对原始 SeqSero 的算法转换和功能更新。主要改进包括:(i)用于鉴定物种和亚种以及某些血清型的附加序列标记,(ii)基于 k-mer 的从原始reads 中快速预测血清型的算法(每秒一个基因组),以及从组装中改进血清型预测,以及(iii)针对特定的 WGS 血清型决定因素的靶向组装方法,用于血清型预测、新等位基因发现和预测故障排除。使用代表 364 种美国常见血清型的 5,794 个基因组进行评估,包括来自国家抗生素耐药性监测系统的 117 种血清型的 2,280 个人类分离株,SeqSero2 的速度比原始 SeqSero 快 50 倍,同时保持对原始reads 的等效准确性,并大大提高了对组装的准确性。SeqSero2 进一步表明,3%的测试基因组包含来自多个血清型的reads,表明存在污染检测的用途。除了短读长之外,SeqSero2 还证明了在存在碱基调用错误的情况下,直接从长纳米孔读长进行准确和快速的血清型预测的潜力。对 17 种血清型的 40 个纳米孔测序基因组的测试导致单个 H 抗原错误识别。血清型鉴定是公共卫生监测的基础,即使监测继续通过全基因组测序进行转型,它仍然是一线亚分型方法。SeqSero 允许将血清型鉴定纳入基于全基因组测序的实验室工作流程,同时保持与经典血清型鉴定方案的连续性。SeqSero2 在广泛测试和在美国和其他国家应用 SeqSero 的基础上进行了信息更新,进一步加强了其在基于全基因组测序的公共卫生监测中的应用。

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