Evidence map›Paper›PMID 39500921›Full record

ArticleScientific reports2024

Profiling the bacterial microbiome diversity and assessing the potential to detect antimicrobial resistance bacteria in wastewater in Kimberley, South Africa.

Ross D Stewart, Abimbola E Oluwalana-Sanusi, Wisdom A Munzeiwa, Luvo Magoswana, Nhamo Chaukura

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In one paragraph

Article in Scientific reports, 2024. 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

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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.

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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

5 authors.

Ross D StewartDepartment of Biological and Agricultural Sciences, Sol Plaatje University, Kimberley, 8301, South Africa.
Abimbola E Oluwalana-SanusiDepartment of Physical and Earth Sciences, Sol Plaatje University, Kimberley, 8301, South Africa.
Wisdom A MunzeiwaDepartment of Physical and Earth Sciences, Sol Plaatje University, Kimberley, 8301, South Africa.
Luvo MagoswanaNational Herbarium, South African National Biodiversity Institute, Private Bag X101, Pretoria, South Africa.
Nhamo ChaukuraDepartment of Physical and Earth Sciences, Sol Plaatje University, Kimberley, 8301, South Africa. nhamo.chaukura@spu.ac.za.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Wastewater treatment plants (WWTPs) are hotspots for pathogens, and can facilitate horizontal gene transfer, potentially releasing harmful genetic material and antimicrobial resistance genes into the environment. Little information exists on the composition and behavior of microbes in WWTPs, especially in developing countries. This study used environmental DNA (eDNA) techniques to examine the microbiome load of wastewater from WWTPs. The DNA was isolated from wastewater samples collected from the treatment trains of three WWTPs in Kimberley, South Africa, and the microbial diversity and composition was compared through 16 S rRNA gene sequencing. The microbes detected were of the Kingdom Bacteria, and of these, 48.27% were successfully identified to genus level. The majority of reads from the combined bacterial data fall within the class Gammaproteobacteria, which is known to adversely impact ecological and human health. Arcobacteraceae constituted 19% of the bacterial reads, which is expected as this family is widespread in aquatic environments. Interestingly, the most abundant bacterial group was Bacteroides, which contain a variety of antibiotic-resistant members. Overall, various antibiotic-resistant taxa were detected in the wastewater, indicating a concerning level of antibiotic resistance within the bacterial community. Therefore, eDNA analysis can be a valuable tool in monitoring and assessing the bacterial microbiome in wastewater, thus providing important information for the optimization and improvement of wastewater treatment systems and mitigate public health risks.

Indexed as

BacteriaDrug Resistance, BacterialMicrobiotaWastewaterAnti-Bacterial AgentsPhylogenyRNA, Ribosomal, 16SSouth AfricaAnti-Bacterial AgentsRNA, Ribosomal, 16SWastewaterAntibiotic resistanceBacterial diversityMetagenomeMicrobiome surveillanceWater-based epidemiology

Identifiers

PMID39500921
PMCPMC11538266

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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.