Evidence map›Paper›PMID 32790793›Full record

ArticlePloS one2020

Combining physicochemical properties and microbiome data to evaluate the water quality of South African drinking water production plants.

Tawanda E Maguvu, Cornelius C Bezuidenhout, Rinaldo Kritzinger, Karabo Tsholo, Moitshepi Plaatjie, Lesego G Molale-Tom, Charlotte M Mienie, Roelof D Coertze

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2020. 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
0.8field-weighted citation impact, top 28% 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

7 citing papers in PubMed, 22 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Review
  7. Clean and Safe Drinking Water SystemsFrontiers in microbiology · 2022
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 1 institution in 1 country.

Tawanda E MaguvuUnit for Environmental Sciences and Management - Microbiology, North-West University, Potchefstroom, South Africa.ORCID 0000-0001-6085-433X
Cornelius C BezuidenhoutUnit for Environmental Sciences and Management - Microbiology, North-West University, Potchefstroom, South Africa.
Rinaldo KritzingerUnit for Environmental Sciences and Management - Microbiology, North-West University, Potchefstroom, South Africa.
Karabo TsholoUnit for Environmental Sciences and Management - Microbiology, North-West University, Potchefstroom, South Africa.
Moitshepi PlaatjieUnit for Environmental Sciences and Management - Microbiology, North-West University, Potchefstroom, South Africa.
Lesego G Molale-TomUnit for Environmental Sciences and Management - Microbiology, North-West University, Potchefstroom, South Africa.
Charlotte M MienieUnit for Environmental Sciences and Management - Microbiology, North-West University, Potchefstroom, South Africa.
Roelof D CoertzeUnit for Environmental Sciences and Management - Microbiology, North-West University, Potchefstroom, South Africa.ORCID 0000-0002-6324-7575
North-West University · ZA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Anthropogenic activities in catchments used for drinking water production largely contaminates source waters, and this may impact the quality of the final drinking water product. These contaminants may also affect taxonomic and functional profiles of the bacterial communities in the drinking water. Here, we report an integrated insight into the microbiome and water quality of four water treatment plants (NWC, NWE, WCA and NWG) that supply portable water to communities in South Africa. A new scoring system based on combined significant changes of physicochemical parameters and microbial abundance from raw to treated water was used to evaluate the effectiveness of the treatment plants at water purification. Physicochemical parameters which include total soluble solids, turbidity, pH, nitrites and phosphorus among others, were measured in source, treated, and distributed water. There were general statistically significant (P ≤ 0.05) differences between raw and treated water, demonstrating the effectiveness of the purification process. Illumina sequencing of the 16S rRNA gene was used for taxonomic profiling of the microbial communities and this data was used to infer functional attributes of the communities. Structure and composition of the bacterial communities differed significantly (P < 0.05) among the treatment plants, only NWE and NWG showed no significant differences (P > 0.05), this correlated with the predicted functional profile of the microbial communities obtained from Phylogenetic Investigation of Communities by Reconstruction of Observed States (PICRUSt), as well as the likely pollutants of source water. Bacteroidetes, Chlorobi and Fibrobacteres significantly differed (P < 0.05) between raw and distributed water. PICRUSt inferred a number of pathways involved in the degradation of xenobiotics such as Dichlorodiphenyltrichloroethane, atrazine and polycyclic aromatic hydrocarbons. More worryingly, was the presence of pathways involved in beta-lactam resistance, potential pathogenic Escherichia coli infection, Vibrio cholerae infection, and Shigellosis. Also present in drinking and treated water were OTUs associated with a number of opportunistic pathogens.

Indexed as

Water PurificationWater QualityWater SupplyBacteriaDrinking WaterHumansRNA, Ribosomal, 16SSouth AfricaWater MicrobiologyDrinking WaterRNA, Ribosomal, 16S

Identifiers

PMID32790793
PMCPMC7425920
OpenAlexW3049746328

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.