Spatio-temporal survey of opportunistic premise plumbing pathogens in the Paris drinking water distribution system.

Opportunistic premise plumbing pathogens present in drinking water are linked to a significant number of infections for health compromised patients. However, their monitoring is not required in current water potability standards and they have been poorly studied in a full-scale network. In this study, we quantified, by qPCR, three opportunistic pathogens, Mycobacterium spp., Legionella pneumophila, Pseudomonas aeruginosa throughout the Paris drinking water network over a one-year sampling campaign. While Mycobacteria spp. seemed ubiquitous whatever the distribution system and the time of the year, the occurrence of L. pneumophila and P. aeruginosa showed seasonal variations. Unlike L. pneumophila and P. aeruginosa, the concentration (copies number/L) of Mycobacterium spp. varied between sampling sites. The variation in microbial numbers did not demonstrate any correlations with temperature, pH, chlorine, conductivity, orthophosphate or nitrate levels. In conclusion, Mycobacterium spp. are common inhabitants of the Paris network while L. pneumophila and P. aeruginosa presence fluctuate over space and time. Such qPCR approach would help to better understand the behaviour of opportunistic premise plumbing pathogens.

Targeted Metagenomics of Microbial Diversity in Free-Living Amoebae and Water Samples.

The presence of Legionella spp. in natural and man-made water systems is a great public health concern and heavily depends on the presence of free-living amoebae. Taking advantage of the development and affordability of next-generation sequencing technology, we present here a method to characterize the whole bacterial community directly from water samples, as well as from isolated free-living amoebae.

Microbiome of drinking water: A full-scale spatio-temporal study to monitor water quality in the Paris distribution system.

The microbiological water quality of drinking water distribution system (DWDS) is of primary importance for human health. High-throughput sequencing has gained more and more attention in the last decade to describe this microbial diversity in water networks. However, there are few studies describing this approach on large drinking water distribution systems and for extended periods of time. To fill this gap and observe the potential subtle variation in microbiota of a water network through time and space, we aimed to apply high-throughput sequencing of the 16S rRNA gene approach to characterize bacterial communities of the Paris' DWDS over a one-year period. In this study, the Paris network, composed of four different DWDSs, was sampled at 31 sites, each month for one year. The sampling campaign was one of the largest described so far (n = 368) and the importance of key spatio-temporal and physico-chemical parameters was investigated. Overall, 1321 taxa were identified within the Paris network, although only fifteen of them were found in high relative abundance (>1%) in all samples. Two genera, Phreatobacter and Hyphomicrobium were dominant. The whole bacterial diversity was not significantly affected between the four DWDSs (spatial parameter) and by physico-chemical parameters. However, the bacterial diversity was slightly modified over the one-year period (temporal parameter) as we were able to observe DWDS microbiome perturbations, presumably linked to a preceding flood event. Comparison of high-throughput sequencing of the 16S rRNA gene amplicons vs. cultivation-based techniques showed that only 1.8% of bacterial diversity was recovered through cultivation. High throughput sequencing has made it possible to monitor DWDS more accurately than conventional methods by describing the whole diversity and detecting slight fluctuations in bacterial communities. This method would be further used to supervise drinking water networks, to follow any perturbations due to internals events (such as treatments) or external events (such as flooding).

Melanization and ageing are not drawbacks for successful agro-transformation of dark septate endophytes.

Dark septate endophytes (DSEs) are melanin-enriched ascomycetous fungi that are abundant in stressed environments. However, little is known about their physiology and metabolism, and DSE genes have not been functionally characterized yet. Therefore developing molecular genetic tools to investigate the biological function of genes of interest in DSEs is of major significance. We investigated Agrobacterium tumefaciens-mediated transformation (ATMT) efficiency in eight DSE strains belonging to Cadophora sp., Cadophora malorum, Leptodontidium sp., Phialophora mustea, and Cladosporium cladosporioides. ATMT efficiency was DSE-dependent and ranged from 0.6 to 125 %. We further focused on the effect of mycelium ageing on ATMT efficiency. Leptodontidium sp. Me07, Leptodontidium sp. Pr30, and C. cladosporioides CBS 101367 were significantly more transformed using 15-d-old mycelium (44.5, 6.9, and 1.1 %, respectively) as compared to 2-d-old mycelium (121, 28.7, and 25.1, respectively), whereas P. mustea Pr29 was more transformed using young mycelium (21.5 % compared to 5.3 % for the old mycelium). Finally, we focused on the effect of melanin content on ATMT efficiency. Melanin content in mycelium ranged from 0.9 to 3.2 mg g-1 DW. Tricyclazole negatively modulated melanin content, while copper positively modulated it. However there was no correlation between hyphal melanin content and ATMT efficiency.