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基于优化分型方案的副猪嗜血杆菌多位点序列分型(MLST)和分析的精心管理公共数据库。

A curated public database for multilocus sequence typing (MLST) and analysis of Haemophilus parasuis based on an optimized typing scheme.

机构信息

Virus and Prion Research Unit, USDA/Agricultural Research Service/National Animal Disease Center, 1920 Dayton Avenue, Ames, Iowa, 50010, United States.

Virus and Prion Research Unit, USDA/Agricultural Research Service/National Animal Disease Center, 1920 Dayton Avenue, Ames, Iowa, 50010, United States.

出版信息

Vet Microbiol. 2013 Mar 23;162(2-4):899-906. doi: 10.1016/j.vetmic.2012.11.019. Epub 2012 Nov 20.

Abstract

Haemophilus parasuis causes Glässer's disease and pneumonia in swine. Serotyping is often used to classify isolates but requires reagents that are costly to produce and not standardized or widely available. Sequence-based methods, such as multilocus sequence typing (MLST), offer many advantages over serotyping. An MLST scheme was previously proposed for H. parasuis but genome sequence data only recently available reveals the primers recommended, based on sequences of related bacteria, are not optimal. Here we report modifications to enhance the original method, including primer redesign to eliminate mismatches with H. parasuis sequences and to avoid regions of high sequence heterogeneity, standardization of primer T(m)s and identification of universal PCR conditions that result in robust and reproducible amplification of all targets. The modified typing method was applied to a collection of 127 isolates from North and South America, Europe and Asia. An alignment of the concatenated sequences obtained from seven target housekeeping genes identified 278 variable nucleotide sites that define 116 unique sequence types. A comparison of the original and modified methods using a subset of 86 isolates indicates little difference in overall locus diversity, discriminatory power or in the clustering of strains within Neighbor-Joining trees. Data from the optimized MLST were used to populate a newly created and publicly available H. parasuis database. An accompanying database designed to capture provenance and epidemiological information for each isolate was also created. The modified MLST scheme is highly discriminatory but more robust, reproducible and user-friendly than the original. The MLST database provides a novel resource for investigation of H. parasuis outbreaks and for tracking strain evolution.

摘要

副猪嗜血杆菌引起猪格拉泽氏病和肺炎。血清型鉴定通常用于对分离株进行分类,但需要生产成本高且未标准化或广泛供应的试剂。基于序列的方法,如多位点序列分型(MLST),比血清型鉴定具有许多优势。先前已经提出了用于副猪嗜血杆菌的 MLST 方案,但最近获得的基因组序列数据表明,基于相关细菌的序列推荐的引物不是最佳的。在这里,我们报告了改进原始方法的修改,包括重新设计引物以消除与副猪嗜血杆菌序列的不匹配,并避免高度序列异质性区域,标准化引物 T(m)和确定通用 PCR 条件,这些条件可导致所有靶标的稳健和可重复扩增。改良的分型方法应用于来自北美、欧洲和亚洲的 127 株分离株的集合。从七个靶标管家基因获得的串联序列的比对确定了 278 个可定义 116 个独特序列型的可变核苷酸位点。使用 86 个分离株的子集比较原始方法和改良方法表明,总体基因座多样性、区分力或在邻接聚类树中的菌株聚类方面几乎没有差异。从优化的 MLST 获得的数据用于填充新创建的和公开可用的副猪嗜血杆菌数据库。还创建了一个设计用于捕获每个分离株的来源和流行病学信息的配套数据库。改良的 MLST 方案具有高度区分力,但比原始方案更稳健、可重复且易于使用。MLST 数据库为副猪嗜血杆菌爆发的调查和跟踪菌株进化提供了一个新的资源。

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