Evidence map›Paper›PMID 25637385›Full record

ArticleEnvironmental monitoring and assessment2015

Pyrosequencing analysis of roof-harvested rainwater and river water used for domestic purposes in Luthengele village in the Eastern Cape Province of South Africa.

Lizyben Chidamba, Lise Korsten

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Article in Environmental monitoring and assessment, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
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

6 citing papers in PubMed.

  1. Article
  2. Microorganisms · 2021
    Review
  3. Article
  4. Article
  5. Review
  6. Article
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

2 authors.

Lizyben ChidambaDepartment of Microbiology and Plant Pathology, University of Pretoria, Pretoria, 0002, South Africa, lizybenc@gmail.com.
Lise Korsten

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pyrosequencing targeting the V1-V3 hypervariable of the 16S rDNA was used to investigate the bacterial diversity in river and roof-harvested rainwater (RHRW) used for potable purposes by rural households in Luthengele village in the Eastern Cape Province of South Africa. The phylum Proteobacteria dominated the data set (80.5 % of all reads), while 4.2 % of the reads could not be classified to any of the known phyla at a probability of 0.8 or higher (unclassified bacteria). At class level, the classes; Betaproteobacteria (50.4 % of all reads), Alphaproteobacteria (16.2 %), Verrucomicrobiae (6.6 %), Planctomycetacia (5.7 %), and Sphingobacteria (3 %) dominated the data set in all the samples. Although the class Verrucomicrobiae constituted 6.6 % of all sequences, 88.6 % of the sequences were from the river sample where the class represented 43.7 % of the observed sequences in the sample. The bacteria community structure clearly showed significant similarities between RHRW and differences with the river water control sample, suggesting different levels of contamination and environmental factors affecting the various water sources. Moreover, signatures of potential pathogens including Legionella, Acinetobacter, Pseudomonas, Clostridia, Chromobacterium, Yersinia, and Serratia were detected, and the proportions of Legionella were relatively higher suggesting a potential health risk to households using RHRW. This work provides guidance for prioritizing subsequent culturable and quantitative analysis to ensure that potentially significant pathogens are not left out of risk estimations.

Indexed as

Water MicrobiologyWater ResourcesBacteriaBacteroidetesConservation of Natural ResourcesEnvironmental MonitoringFresh WaterRiversSouth Africa

Identifiers

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Registered trials

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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.