Are Indicator Microorganisms Predictive of Pathogens in Water?

Author:

Richiardi Lisa1ORCID,Pignata Cristina1ORCID,Fea Elisabetta1,Bonetta Silvia2ORCID,Carraro Elisabetta1ORCID

Affiliation:

1. Department of Public Health and Pediatrics, University of Torino, Via Santena 5 bis, 10126 Torino, Italy

2. Department of Life Sciences and Systems Biology, University of Torino, Via Accademia Albertina 13, 10123 Torino, Italy

Abstract

The microbiological quality assessment of drinking water (DW) and drinking water sources (DWSs) is based on the detection of indicator microorganisms (IMs). However, the relationship between IMs and pathogens has been questioned, as pathogens have been detected even in the absence of IMs, and vice versa. Therefore, the aim of this review was to evaluate the reliability of IMs by analysing the correlation between the presence of IMs and pathogens in water. This review focused on studies that reported statistical analyses of the relationship between traditional and alternative IMs and enteric pathogens in DWSs (groundwater, surface water, and rainwater) and in DW. Additionally, the main DW guidelines and regulations, along with a focus on the application of Quantitative Microbial Risk Assessment (QMRA), were also reported. The overall analysis of publications revealed a controversial correlation, characterised by high spatiotemporal variability, indicating the impossibility of identifying a reliable IM for any specific pathogen or water type. The association was also influenced by numerous factors, such as intrinsic characteristics of microorganisms, seasonal variations, sample number, water sample volume, and the detection method used. In conclusion, the detection of IMs should be considered complementary to, rather than a substitute for, the detection of pathogens.

Publisher

MDPI AG

Subject

Water Science and Technology,Aquatic Science,Geography, Planning and Development,Biochemistry

Reference94 articles.

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3. Zainurin, S.N., Wan Ismail, W.Z., Mahamud, S.N.I., Ismail, I., Jamaludin, J., Ariffin, K.N.Z., and Wan Ahmad Kamil, W.M. (2022). Advancements in monitoring water quality based on various sensing methods: A systematic review. Int. J. Environ. Res. Public Health, 19.

4. United Nations (2023). The United Nations World Water Development Report 2023: Partnerships and Cooperation for Water, UNESCO.

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