bioRxiv Science⌕ Search

Biology subjects

Weir, P.

Publications and source records attributed to Weir, P..

2 recordsLinked to original sources

Design and testing of a PCR assay to quantify coliform bacteria in drinking water

Here we present an enhanced lacZ qPCR assay targeting {beta}-galactosidase, encoded by lacZ, to assess coliforms in drinking water. Coliform bacteria are a diverse group of over 80 species, commonly found in enteric environments, and act as indicators of water supply contamination. Due to the significant variation among coliforms, and the size of the group designing a single target was challenging, as previous studies have demonstrated. To address this, a coliform lacZ sequence database was created, and the phylogeny of the group was reviewed. The degree of phylogenetic differences both between and among different coliform genera is indeed large, raising questions about their current definition. Using the database, current and new primer sets were tested for specificity and coverage both in silico and in vitro. The de novo primer set, LZ1, was found to be the most effective for qPCR. When compared directly with traditional culture-based methods and flow cytometry total cell counts, the LZ1 lacZ qPCR assay quantified E. coli in drinking water down to a concentration of 1.82 x 103 cfu/100mL, equivalent to 360 cfu per qPCR reaction. ImportanceColiform bacteria and E. coli are key indicators of faecal contamination in drinking water. Compliance with U.K., U.S.A., or European regulations requires that drinking water be free of these organisms. However, the culture-based methods used to quantify these bacteria have remained unchanged for over 100 years, relying on the culturability of the organisms, sampling only a small volume at a single time point, and lacking direct correlation to pathogenic microbes. There is a pressing need for a rapid, high-throughput analysis capable of detecting coliforms more representatively, without relying solely on culturability. By analysing larger volumes or more replicates, this qPCR assay could potentially be used to assess the risk of drinking water contamination over longer periods of time, offering a more comprehensive evaluation compared to traditional, culture-dependent methods.

microbiology↗

Microbiomes in drinking water treatment and distribution: a critical review and meta-analysis from source to tap

A meta-analysis of existing and available Illumina 16S rRNA datasets from drinking water source, treatment and drinking water distribution systems (DWDS) were collated to compare changes in abundance and diversity throughout. Samples from bulk water and biofilm were used to assess principles governing microbial community assembly and the value of amplicon sequencing to water utilities. Individual phyla relationships were explored to identify competitive or synergistic factors governing DWDS microbiomes. The relative importance of stochasticity in the assembly of the DWDS microbiome was considered to identify the significance of source and treatment in determining communities in DWDS. Treatment of water significantly reduces overall species abundance and richness, with chlorination of water providing the most impact to individual taxa relationships. The assembly of microbial communities in the bulk water of the source, primary treatment process and DWDS is governed by more stochastic processes, as is the DWDS biofilm. DWDS biofilm is significantly different from bulk water in terms of local contribution to beta diversity, type and abundance of taxa present. Water immediately post chlorination has a more deterministic microbial assembly, highlighting the significance of this process in changing the microbiome, although elevated levels of stochasticity in DWDS samples suggest that this may not be the case at customer taps. 16S rRNA sequencing is becoming more routine, and may have several uses for water utilities, including: detection and risk assessment of potential pathogens such as those within the genera of Legionella and Mycobacterium; assessing the risk of nitrification in DWDS; providing improved indicators of process performance and monitoring for significant changes in the microbial community to detect contamination. Combining this with quantitative methods like flow cytometry will allow a greater depth of understanding of the DWDS microbiome.

microbiology↗