利用多重重组酶聚合酶扩增技术改进对牛鼻咽拭子中整合性连接元件的检测

IF 1.7 4区 生物学 Q4 BIOCHEMICAL RESEARCH METHODS
Cheyenne C. Conrad , Tara Funk , Sara Andrés-Lasheras , Christina Yevtushenko , Curtis Claassen , Simon J.G. Otto , Cheryl Waldner , Rahat Zaheer , Tim A. McAllister
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引用次数: 0

摘要

牛呼吸道疾病(BRD)是全球养牛业的一个重要健康和经济负担。三种经常与 BRD 相关的细菌病原体(溶血曼氏菌、多杀性巴氏杆菌和嗜组胞杆菌)可能具有整合和共轭元件(ICEs),这是一组多样化的移动遗传元件,可获得抗菌药耐药性(AMR)基因(ARGs)并降低抗菌药的疗效。我们开发了一种双工重组酶聚合酶扩增(RPA)测定法,用于检测这些巴斯德菌科细菌中多达两种变体的 ICEs。对含有 ICEs 的溶血霉菌、多杀性念珠菌和 H. somni 分离物进行的全基因组序列分析表明,tet(H)旁边存在 tnpA 或 ebrB,这是一种保守的 ARG,经常在 BRD 相关细菌的 ICEs 中检测到。这种实时多重 RPA 检测同时针对这两种 ICE 变体,分别称为 tetH_tnpA 和 tetH_ebrB,检测限(LOD)分别为 29 个基因组拷贝(95% CI [23, 46])和 38 个基因组拷贝(95% CI [30, 59])。使用实时多重 RPA 检测法检测样本中的 ICEs,并使用培养方法和 RPA 检测样本中的溶血霉菌、多杀性猪嗜血杆菌、鼻疽嗜血杆菌和牛支原体。该检测方法能灵敏、准确地鉴定提取 DNA 中的 ICEs,为及时发现与饲养场牛发生抗菌性 BRD 相关的潜在风险因素提供了有用的分子工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Improving the detection of integrative conjugative elements in bovine nasopharyngeal swabs using multiplex recombinase polymerase amplification

Bovine respiratory disease (BRD) is an important health and economic burden to the cattle industry worldwide. Three bacterial pathogens frequently associated with BRD (Mannheimia haemolytica, Pasteurella multocida, and Histophilus somni) can possess integrative and conjugative elements (ICEs), a diverse group of mobile genetic elements that acquire antimicrobial resistance (AMR) genes (ARGs) and decrease the therapeutic efficacy of antimicrobial drugs. We developed a duplex recombinase polymerase amplification (RPA) assay to detect up to two variants of ICEs in these Pasteurellaceae. Whole genome sequence analysis of M. haemolytica, P. multocida, and H. somni isolates harbouring ICEs revealed the presence of tnpA or ebrB next to tet(H), a conserved ARG that is frequently detected in ICEs within BRD-associated bacteria. This real-time multiplex RPA assay targeted both ICE variants simultaneously, denoted as tetH_tnpA and tetH_ebrB, with a limit of detection (LOD) of 29 (95% CI [23, 46]) and 38 genome copies (95% CI [30, 59]), respectively.

DNA was extracted from 100 deep nasopharyngeal swabs collected from feedlot cattle on arrival. Samples were tested for ICEs using a real-time multiplex RPA assay, and for M. haemolytica, P. multocida, H. somni, and Mycoplasma bovis using both culture methods and RPA. The assay provided sensitive and accurate identification of ICEs in extracted DNA, providing a useful molecular tool for timely detection of potential risk factors associated with the development of antimicrobial-resistant BRD in feedlot cattle.

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来源期刊
Journal of microbiological methods
Journal of microbiological methods 生物-生化研究方法
CiteScore
4.30
自引率
4.50%
发文量
151
审稿时长
29 days
期刊介绍: The Journal of Microbiological Methods publishes scholarly and original articles, notes and review articles. These articles must include novel and/or state-of-the-art methods, or significant improvements to existing methods. Novel and innovative applications of current methods that are validated and useful will also be published. JMM strives for scholarship, innovation and excellence. This demands scientific rigour, the best available methods and technologies, correctly replicated experiments/tests, the inclusion of proper controls, calibrations, and the correct statistical analysis. The presentation of the data must support the interpretation of the method/approach. All aspects of microbiology are covered, except virology. These include agricultural microbiology, applied and environmental microbiology, bioassays, bioinformatics, biotechnology, biochemical microbiology, clinical microbiology, diagnostics, food monitoring and quality control microbiology, microbial genetics and genomics, geomicrobiology, microbiome methods regardless of habitat, high through-put sequencing methods and analysis, microbial pathogenesis and host responses, metabolomics, metagenomics, metaproteomics, microbial ecology and diversity, microbial physiology, microbial ultra-structure, microscopic and imaging methods, molecular microbiology, mycology, novel mathematical microbiology and modelling, parasitology, plant-microbe interactions, protein markers/profiles, proteomics, pyrosequencing, public health microbiology, radioisotopes applied to microbiology, robotics applied to microbiological methods,rumen microbiology, microbiological methods for space missions and extreme environments, sampling methods and samplers, soil and sediment microbiology, transcriptomics, veterinary microbiology, sero-diagnostics and typing/identification.
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