Evidence map›Paper›PMID 32920672›Full record

ArticleArchives of microbiology2021

Pollution shapes the microbial communities in river water and sediments from the Olifants River catchment, South Africa.

Angel Valverde, Errol D Cason, Alba Gómez-Arias, Derya Bozkale, Danny Govender, Eddie Riddell, Don Cowan

Abstract read
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In one paragraph

Article in Archives of microbiology, 2021. 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
0.6field-weighted citation impact, top 30% 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, 12 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Molecular Diagnostic Tools Applied for Assessing Microbial Water Quality.International journal of environmental research and public health · 2022
    Review
  7. 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 at 3 institutions in 2 countries.

Angel ValverdeDepartment of Microbial, Biochemical and Food Biotechnology, University of the Free State, Bloemfontein, South Africa. angel.valverde@csic.es.ORCID http://orcid.org/0000-0003-0439-9605
Errol D CasonDepartment of Microbial, Biochemical and Food Biotechnology, University of the Free State, Bloemfontein, South Africa.
Alba Gómez-AriasDepartment of Microbial, Biochemical and Food Biotechnology, University of the Free State, Bloemfontein, South Africa.
Derya BozkaleDepartment of Biochemistry, Genetics and Microbiology, Centre for Microbial Ecology and Genomics (CMEG), University of Pretoria, Pretoria, South Africa.
Danny GovenderSouth African National Parks, Conservation Management, Skukuza, South Africa.
Eddie RiddellSouth African National Parks, Conservation Management, Skukuza, South Africa.
Don CowanDepartment of Biochemistry, Genetics and Microbiology, Centre for Microbial Ecology and Genomics (CMEG), University of Pretoria, Pretoria, South Africa.
University of the Free State · ZASouth African National Parks · ZAUniversity of Pretoria · ZA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Human activities such as agriculture and mining are leading causes of water pollution worldwide. Individual contaminants are known to negatively affect microbial communities. However, the effect of multifaceted pollution on these communities is less well understood. We investigated, using next-generation sequencing of the 16S rRNA genes, the effects of multisource (i.e., fertilizer industry and mining) chronic pollution on bacterial and archaeal communities in water and sediments from the Olifants River catchment, South Africa. Water samples showed less microbial species diversity than sediments and both habitats displayed different microbial communities. Within each of these habitats, pollution had no effect on alpha diversity but shaped the microbial composition and taxonomy-based predicted functions. Certain prokaryotic taxa and functional groups were indicative of different degrees of pollution. Heterotrophic taxa (e.g., Flavobacterium sp.) and sulphur-oxidizing bacteria (i.e., Thiobacillus sp.) were indicators of pollution in water and sediments, respectively. Ultimately, this information could be used to develop microbial indicators of water quality degradation.

Indexed as

ArchaeaBacteriaGeologic SedimentsMicrobiotaMiningRiversRNA, Ribosomal, 16SSouth AfricaWater PollutantsRNA, Ribosomal, 16SWater Pollutants16S rRNA gene sequencingChronic pollutionMicrobial communitiesRiver sediments

Identifiers

PMID32920672
OpenAlexW3084556895

What OpenQuestion holds

Textmetadata
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.