Evidence map›Paper›PMID 37988808›Full record

ArticleWater research2024

Composition of active bacterial communities and presence of opportunistic pathogens in disinfected and non-disinfected drinking water distribution systems in Finland.

Sallamaari Siponen, Balamuralikrishna Jayaprakash, Anna-Maria Hokajärvi, Vicente Gomez-Alvarez, Jenni Inkinen, Ivan Ryzhikov, Pia Räsänen, Jenni Ikonen, Anna Pursiainen, Ari Kauppinen and 5 more

Erratum issuedOpen access · hybridAbstract read
In one paragraph

Article in Water research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
4.4field-weighted citation impact, top 5% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 28 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors at 4 institutions in 2 countries.

Sallamaari SiponenFinnish Institute for Health and Welfare, Department of Health Security, P.O. Box 95, 70701 Kuopio, Finland; University of Eastern Finland, Department of Environmental and Biological Sciences, P.O. Box 1627, 70211 Kuopio, Finland. Electronic address: sallamaari.siponen@thl.fi.
Balamuralikrishna JayaprakashFinnish Institute for Health and Welfare, Department of Health Security, P.O. Box 95, 70701 Kuopio, Finland.
Anna-Maria HokajärviFinnish Institute for Health and Welfare, Department of Health Security, P.O. Box 95, 70701 Kuopio, Finland.
Vicente Gomez-AlvarezU.S. Environmental Protection Agency, Office of Research and Development, 26W. Martin Luther King Dr., Cincinnati, OH 45268, United States.
Jenni InkinenUniversity of Eastern Finland, Institute of Biomedicine, P.O. Box 1627, 70211 Kuopio, Finland.
Ivan RyzhikovUniversity of Eastern Finland, Department of Environmental and Biological Sciences, P.O. Box 1627, 70211 Kuopio, Finland.
Pia RäsänenFinnish Institute for Health and Welfare, Department of Health Security, P.O. Box 95, 70701 Kuopio, Finland.
Jenni IkonenFinnish Institute for Health and Welfare, Department of Health Security, P.O. Box 95, 70701 Kuopio, Finland.
Anna PursiainenFinnish Institute for Health and Welfare, Department of Health Security, P.O. Box 95, 70701 Kuopio, Finland.
Ari KauppinenFinnish Institute for Health and Welfare, Department of Health Security, P.O. Box 95, 70701 Kuopio, Finland.
Mikko KolehmainenUniversity of Eastern Finland, Department of Environmental and Biological Sciences, P.O. Box 1627, 70211 Kuopio, Finland.
Jussi PaananenUniversity of Eastern Finland, Institute of Biomedicine, P.O. Box 1627, 70211 Kuopio, Finland.
Eila TorvinenUniversity of Eastern Finland, Department of Environmental and Biological Sciences, P.O. Box 1627, 70211 Kuopio, Finland.
Ilkka T MiettinenFinnish Institute for Health and Welfare, Department of Health Security, P.O. Box 95, 70701 Kuopio, Finland.
Tarja PitkänenFinnish Institute for Health and Welfare, Department of Health Security, P.O. Box 95, 70701 Kuopio, Finland; University of Helsinki, Faculty of Veterinary Medicine, Department of Food Hygiene and Environmental Health, P.O. Box 66, 00014 Helsinki, Finland.
Finnish Institute for Health and Welfare · FIUniversity of Eastern Finland · FIEnvironmental Protection Agency · USUniversity of Helsinki · FI

Funding

Intramural EPA EPA999999
6 · The paper itself

Abstract

Many factors, including microbiome structure and activity in the drinking water distribution system (DWDS), affect the colonization potential of opportunistic pathogens. The present study aims to describe the dynamics of active bacterial communities in DWDS and identify the factors that shape the community structures and activity in the selected DWDSs. Large-volume drinking water and hot water, biofilm, and water meter deposit samples were collected from five DWDSs. Total nucleic acids were extracted, and RNA was further purified and transcribed into its cDNA from a total of 181 water and biofilm samples originating from the DWDS of two surface water supplies (disinfected with UV and chlorine), two artificially recharged groundwater supplies (non-disinfected), and a groundwater supply (disinfected with UV and chlorine). In chlorinated DWDSs, concentrations of <0.02-0.97 mg/l free chlorine were measured. Bacterial communities in the RNA and DNA fractions were analysed using Illumina MiSeq sequencing with primer pair 341F-785R targeted to the 16S rRNA gene. The sequence libraries were analysed using QIIME pipeline, Program R, and MicrobiomeAnalyst. Not all bacterial cells were active based on their 16S rRNA content, and species richness was lower in the RNA fraction (Chao1 mean value 490) than in the DNA fraction (710). Species richness was higher in the two DWDSs distributing non-disinfected artificial groundwater (Chao1 mean values of 990 and 1 000) as compared to the two disinfected DWDSs using surface water (Chao1 mean values 190 and 460) and disinfected DWDS using ground water as source water (170). The difference in community structures between non-disinfected and disinfected water was clear in the beta-diversity analysis. Distance from the waterworks also affected the beta diversity of community structures, especially in disinfected distribution systems. The two most abundant bacteria in the active part of the community (RNA) and total bacterial community (DNA) belonged to the classes Alphaproteobacteria (RNA 28 %, DNA 44 %) and Gammaproteobacteria (RNA 32 %, DNA 30 %). The third most abundant and active bacteria class was Vampirovibrionia (RNA 15 %), whereas in the total community it was Paceibacteria (DNA 11 %). Class Nitrospiria was more abundant and active in both cold and hot water in DWDS that used chloramine disinfection compared to non-chlorinated or chlorine-using DWDSs. Thirty-eight operational taxonomic units (OTU) of Legionella, 30 of Mycobacterium, and 10 of Pseudomonas were detected among the sequences. The (RT)-qPCR confirmed the presence of opportunistic pathogens in the DWDSs studied as Legionella spp. was detected in 85 % (mean value 4.5 × 10

Indexed as

ChloraminesDrinking WaterBacteriaBiofilmsChlorineDNAFinlandRNA, Ribosomal, 16SWater MicrobiologyWater SupplychloramineChloraminesChlorineDNADrinking WaterRNA, Ribosomal, 16SBacterial communitiesDisinfectionDrinking waterOpportunistic pathogensRibosomal RNA

Identifiers

PMID37988808
PMCPMC10840642
OpenAlexW4388594223

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.