Evidence map›Paper›PMID 36274724›Full record

ArticleFrontiers in microbiology2022

Microbiome characterization of alpine water springs for human consumption reveals site- and usage-specific microbial signatures.

Renato Pedron, Alfonso Esposito, William Cozza, Massimo Paolazzi, Mario Cristofolini, Nicola Segata, Olivier Jousson

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Article in Frontiers in microbiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Renato PedronDepartment of Cellular, Computational and Integrative Biology - CIBIO, University of Trento, Trento, Italy.
Alfonso EspositoInternational Centre for Genetic Engineering and Biotechnology - ICGEB, Trieste, Italy.
William CozzaDepartment of Cellular, Computational and Integrative Biology - CIBIO, University of Trento, Trento, Italy.
Massimo PaolazziAgenzia provinciale per la protezione dell'ambiente - APPA, Trento, Italy.
Mario CristofoliniIstituto G.B. Mattei, Stenico, Italy.
Nicola SegataDepartment of Cellular, Computational and Integrative Biology - CIBIO, University of Trento, Trento, Italy.
Olivier JoussonDepartment of Cellular, Computational and Integrative Biology - CIBIO, University of Trento, Trento, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The microbiome of water springs is gaining increasing interest, especially in water intended for human consumption. However, the knowledge about large-scale patterns in water springs microbiome is still incomplete. The presence of bacteria in water sources used for human consumption is a major concern for health authorities; nonetheless, the standard microbiological quality checks are focused only on pathogenic species and total microbial load. Using 16S rRNA high throughput sequencing, we characterized the microbiome from 38 water springs in Trentino (Northern Italy) for 2 consecutive years in order to gain precious insights on the microbiome composition of these unexplored yet hardly exploited environments. The microbiological studies were integrated with standard measurements of physico-chemical parameters performed by the Provincial Office for Environmental Monitoring in order to highlight some of the dynamics influencing the microbial communities of these waters. We found that alpha diversity showed consistent patterns of variation overtime, and showed a strong positive correlation with the water nitrate concentration and negatively with fixed residue, electrical conductivity, and calcium concentration. Surprisingly, alpha diversity did not show any significant correlation with neither pH nor temperature. We found that despite their remarkable stability, different water springs display different coefficients of variation in alpha diversity, and that springs used for similar purposes showed similar microbiomes. Furthermore, the springs could be grouped according to the number of shared species into three major groups: low, mid, and high number of shared taxa, and those three groups of springs were consistent with the spring usage. Species belonging to the phyla Planctomycetes and Verrucomicrobia were prevalent and at relatively high abundance in springs classified as low number of shared species, whereas the phylum Lentisphaerae and the Candidate Phyla radiation were prevalent at higher abundance in the mineral and potable springs. The present study constitutes an example for standard water spring monitoring integrated with microbial community composition on a regional scale, and provides information which could be useful in the design and application of future water management policies in Trentino.

Indexed as

16S amplicon sequencinghuman consumption and productionlongitudinal studymicrobiomewater springs

Identifiers

PMID36274724
PMCPMC9581249

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