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发育和评估美洲幼虫腐臭病菌(蜜蜂的致命美国幼虫腐臭病病原体)的核心基因组多位点序列分型方案。

Development and evaluation of a core genome multilocus sequence typing scheme for Paenibacillus larvae, the deadly American foulbrood pathogen of honeybees.

机构信息

Anses, Sophia-Antipolis Laboratory, Unit of Honey Bee Pathology, Sophia Antipolis, France.

Department of Ecology, Swedish University of Agricultural Sciences, Uppsala, Sweden.

出版信息

Environ Microbiol. 2021 Sep;23(9):5042-5051. doi: 10.1111/1462-2920.15442. Epub 2021 Mar 2.

Abstract

Paenibacillus larvae is the causative agent of the fatal American foulbrood disease in honeybees (Apis mellifera). Strain identification is vital for preventing the spread of the disease. To date, the most accessible and robust scheme to identify strains is the multilocus sequence typing (MLST) method. However, this approach has limited resolution, especially for epidemiological studies. As the cost of whole-genome sequencing has decreased and as it becomes increasingly available to most laboratories, an extended MLST based on the core genome (cgMLST) presents a valuable tool for high-resolution investigations. In this study, we present a standardized, robust cgMLST scheme for P. larvae typing using whole-genome sequencing. A total of 333 genomes were used to identify, validate and evaluate 2419 core genes. The cgMLST allowed fine-scale differentiation between samples that had the same profile using traditional MLST and allowed for the characterization of strains impossible by MLST. The scheme was successfully used to trace a localized Swedish outbreak, where a cluster of 38 isolates was linked to a country-wide beekeeping operation. cgMLST greatly enhances the power of a traditional typing scheme, while preserving the same stability and standardization for sharing results and methods across different laboratories.

摘要

幼虫芽孢杆菌是导致致命的美洲幼虫腐臭病(American foulbrood disease)在蜜蜂(Apis mellifera)中的病原体。菌株鉴定对于防止疾病传播至关重要。迄今为止,最易获得和最强大的菌株鉴定方案是多位点序列分型(multilocus sequence typing,MLST)方法。然而,这种方法的分辨率有限,特别是在流行病学研究方面。随着全基因组测序成本的降低,并且越来越多的实验室都能够获得全基因组测序,基于核心基因组(cgMLST)的扩展 MLST 为高分辨率研究提供了有价值的工具。在这项研究中,我们提出了一种标准化、稳健的基于全基因组测序的幼虫芽孢杆菌 cgMLST 分型方案。总共使用了 333 个基因组来识别、验证和评估 2419 个核心基因。cgMLST 允许在使用传统 MLST 具有相同图谱的样本之间进行精细区分,并允许对 MLST 无法表征的菌株进行特征描述。该方案成功地用于追踪瑞典的局部暴发疫情,其中 38 个分离株的集群与全国范围内的养蜂作业有关。cgMLST 极大地增强了传统分型方案的能力,同时保持了相同的稳定性和标准化,以便在不同实验室之间共享结果和方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f4ab/8518682/647c9cfbcfd1/EMI-23-5042-g002.jpg

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