Evidence map›Paper›PMID 34224087›Full record

ArticleFolia microbiologica2021

Investigation into the bacterial diversity of sediment samples obtained from Berg River, Western Cape, South Africa.

Oluwadara Alegbeleye, Arghavan Alisoltani, Akebe Luther King Abia, Adetunji Ajibola Awe, Adewole Tomiwa Adetunji, Saidat Rabiu, Beatrice Olutoyin Opeolu

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Article in Folia microbiologica, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Microorganisms · 2025
    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

7 authors.

Oluwadara AlegbeleyeDepartment of Food Science, University of Campinas (UNICAMP), Rua Monteiro Lobato, 80, Campinas, SP, 13083-862, Brazil. seunalegbeleye@gmail.com.ORCID http://orcid.org/0000-0002-2708-1301
Arghavan AlisoltaniSchool of Medicine, University of California, Riverside, Riverside, CA, USA.
Akebe Luther King AbiaAntimicrobial Research Unit, College of Health Sciences, University of KwaZulu-Natal, Durban, South Africa.
Adetunji Ajibola AweDepartment of Conservation and Marine Sciences, Faculty of Applied Sciences, Cape Peninsula University of Technology, Cape Town, South Africa.
Adewole Tomiwa AdetunjiDepartment of Agriculture, Faculty of Applied Sciences, Cape Peninsula University of Technology, Western Cape, Wellington, 7654, South Africa.
Saidat RabiuDepartment of Environmental and Occupational Studies, Cape Peninsula University of Technology, Cape Town, South Africa.
Beatrice Olutoyin OpeoluExtended Curriculum Programmes, Faculty of Applied Sciences, Cape Peninsula University of Technology, Cape Town, 8000, South Africa.

Funding

Cape Peninsula University of Technology N/A
6 · The paper itself

Abstract

This study used conventional culturing and 16S rRNA metagenomics analyses to assess the diversity of bacterial communities in sediment samples obtained from the Berg River, Western Cape, South Africa. Samples were collected from six points: a residential and recreational area, an industrial area, an informal residential settlement, a point next to a wastewater treatment plant (WWTP), a pumping station, and a residential and agricultural farming area along the river. High bacterial counts recorded on general selective and differential culture media signify substantial microbial contamination along the sampling sites. The most prevalent bacterial phyla detected (through metagenomics analyses) along the sampling sites were Proteobacteria (61%), Planctomycetes (9.5%), Firmicutes (7.8%), Bacteroidetes (5%), Acidobacteria (4.6%), and Actinobacteria (4.6%). Some members of the identified predominant bacterial phyla, genera, and classes are important public health bacteria that have been implicated in human diseases and outbreaks, while some others are metal or hydrocarbon tolerant, indicating possible significant environmental pollution. Notable human pathogenic genera such as Bacillus, Clostridium, Shigella, Legionella, Mycobacterium, and Pseudomonas were identified in varying percentages at five of the six sampling areas. Fecal contamination was particularly rife at all residential areas, with the informal housing area being the most notably polluted. Diverse functional pathways were predicted for identified bacteria, such as those associated with different chronic and infectious human diseases as well as those related to hydrocarbon and metal remediation. The point next to a WWTP contained vastly diverse groups of bacterial contaminants as well as the most abundant pathway identities and titles.

Indexed as

BacteriaRiversHumansMetagenomicsRNA, Ribosomal, 16SSouth AfricaRNA, Ribosomal, 16S

Identifiers

What OpenQuestion holds

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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.