Addressing underestimation of waterborne disease risks due to fecal indicator bacteria bound in aggregates.

IF 3.2 3区 生物学 Q2 BIOTECHNOLOGY & APPLIED MICROBIOLOGY Journal of Applied Microbiology Pub Date : 2024-11-04 DOI:10.1093/jambio/lxae280
Dan E Angelescu, David Abi-Saab, Raphael Ganaye, David Wanless, Joyce Wong
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Abstract

Aims: This study aims to identify and address significant limitations in current culture-based regulatory methods used for monitoring microbiological water quality. Specifically, these methods' inability to distinguish between planktonic forms and aggregates containing higher bacterial loads and associated pathogens may lead to a severe underestimation of exposure risks, with critical public health implications.

Methods and results: We employed a novel methodology combining size fractionation with ALERT (Automatic Lab-in-a-vial E.coli Remote Tracking), an automated rapid method for comprehensive quantification of culturable fecal indicator bacteria (FIB). Our findings reveal a substantial and widespread presence of aggregate-bound indicator bacteria across various water matrices and geographical locations. Comprehensive bacterial counts consistently exceeded those obtained by traditional methods by significant multiples, such as an average of 3.4× at the Seine River 2024 Olympic venue, and occasionally up to 100× in irrigation canals and wastewater plant effluent. These results, supported by microscopic and molecular analyses, underscore a systematic bias in global water safety regulatory frameworks.

Conclusions: Our research demonstrates the inadequacy of traditional culture-based techniques in assessing microbiological risks posed by aggregate-bound FIB and associated pathogens, particularly in water matrices affected by FIB-rich fecal particles from recent sewer overflows or sediment, which can carry higher infectious risks. Incorporating comprehensive FIB analysis techniques, including molecular methods and rapid culture-based approaches as shown in this study, offers a promising and effective solution to these risk assessment limitations.

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解决因粪便指示菌聚集而导致的水传播疾病风险被低估的问题。
目的:本研究旨在确定和解决目前用于监测微生物水质的基于培养的监管方法的重大局限性。具体来说,这些方法无法区分浮游形态和含有较高细菌量及相关病原体的聚集体,这可能会导致严重低估暴露风险,对公共健康产生重大影响:我们采用了一种新方法,将大小分馏与 ALERT(一种用于全面量化可培养粪便指示菌 (FIB) 的自动快速方法)相结合。我们的研究结果表明,在不同的水体基质和地理位置中都广泛存在大量的聚集指示菌。综合细菌计数始终比传统方法获得的细菌计数高出数倍之多,例如在塞纳河 2024 年奥运场馆中的平均细菌计数为 3.4 倍,而在灌溉渠和污水处理厂污水中的细菌计数有时高达 100 倍。这些结果在显微镜和分子分析的支持下,凸显了全球水安全监管框架的系统性偏差:我们的研究表明,传统的基于培养的技术不足以评估聚集的 FIB 和相关病原体带来的微生物风险,尤其是在受到近期下水道溢流或沉积物中富含 FIB 的粪便颗粒影响的水基质中,这可能带来更高的感染风险。综合 FIB 分析技术,包括分子方法和快速培养方法(如本研究所示),为解决这些风险评估局限性提供了一种有前景的有效解决方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Applied Microbiology
Journal of Applied Microbiology 生物-生物工程与应用微生物
CiteScore
7.30
自引率
2.50%
发文量
427
审稿时长
2.7 months
期刊介绍: Journal of & Letters in Applied Microbiology are two of the flagship research journals of the Society for Applied Microbiology (SfAM). For more than 75 years they have been publishing top quality research and reviews in the broad field of applied microbiology. The journals are provided to all SfAM members as well as having a global online readership totalling more than 500,000 downloads per year in more than 200 countries. Submitting authors can expect fast decision and publication times, averaging 33 days to first decision and 34 days from acceptance to online publication. There are no page charges.
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