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Pseudomonas-Specific NGS Assay Provides Insight Into Abundance and Dynamics of Pseudomonas Species Including P. aeruginosa in a Cooling Tower

机译:特定于假单胞菌的NGS分析可提供对冷却塔中包括铜绿假单胞菌在内的假单胞菌物种的丰度和动力学的深入了解

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摘要

Pseudomonas species are frequent inhabitants of freshwater environments and colonizers of water supply networks via bioadhesion and biofilm formation. P. aeruginosa is the species most commonly associated with human disease, causing a wide variety of infections with links to its presence in freshwater systems. Though several other Pseudomonas species are of ecological and public health importance, little knowledge exists regarding environmental abundances of these species. In the present study, an Illumina-based next-generation sequencing (NGS) approach using Pseudomonas-specific primers targeting the 16S rRNA gene was evaluated and applied to a set of freshwater samples from different environments including a cooling tower sampled monthly during 2 years. Our approach showed high in situ specificity and accuracy. NGS read counts revealed a precise quantification of P. aeruginosa and a good correlation with the absolute number of Pseudomonas genome copies in a validated genus-specific qPCR assay, demonstrating the ability of the NGS approach to determine both relative and absolute abundances of Pseudomonas species and P. aeruginosa. The characterization of Pseudomonas communities in cooling tower water allowed us to identify 43 phylotypes, with P. aeruginosa being the most abundant. A shift existed within each year from a community dominated by phylotypes belonging to P. fluorescens and P. oleovorans phylogenetic groups to a community where P. aeruginosa was highly abundant. Co-occurrence was observed between P. aeruginosa and other phylotypes of P. aeruginosa group as well as the potentially pathogenic species P. stutzeri, but not with phylotypes of the P. fluorescens group, indicating the need to further investigate the metabolic networks and ecological traits of Pseudomonas species. This study demonstrates the potential of deep sequencing as a valuable tool in environmental diagnostics and surveillance of health-related pathogens in freshwater environments.
机译:假单胞菌物种是淡水环境的常见居民,并通过生物粘附和生物膜形成而成为供水网络的定居者。铜绿假单胞菌是最常见的与人类疾病有关的物种,其引起的多种感染与其在淡水系统中的存在有关。尽管其他几种假单胞菌物种具有生态和公共卫生重要性,但对这些物种的环境丰度知之甚少。在本研究中,评估了使用针对16S rRNA基因的假单胞菌特异性引物的基于Illumina的下一代测序(NGS)方法,并将其应用于一组来自不同环境的淡水样品,包括在2年内每月采样的冷却塔。我们的方法显示出很高的原位特异性和准确性。 NGS读取计数显示,在经过验证的属特异性qPCR分析中,铜绿假单胞菌的精确定量和与假单胞菌基因组拷贝的绝对数量有很好的相关性,证明了NGS方法能够确定假单胞菌属的相对和绝对丰度以及铜绿假单胞菌。冷却塔水中假单胞菌群落的特征使我们能够鉴定出43种系统型,其中铜绿假单胞菌是最丰富的。每年都有一个从以荧光假单胞菌和油橄榄假单胞菌系统发育群为主的系统型为主的群落向铜绿假单胞菌高度丰富的群落的转变。铜绿假单胞菌和铜绿假单胞菌组的其他种型以及潜在致病菌 P之间共存。 stutzeri ,但没有 P的系统型。荧光组,表明有必要进一步研究假单胞菌物种的代谢网络和生态特性。这项研究证明了深度测序作为淡水环境中环境诊断和健康相关病原体监测的有价值工具的潜力。

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