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

Arch Microbiol

Department of Biochemistry, Genetics and Microbiology, Centre for Microbial Ecology and Genomics (CMEG), University of Pretoria, Pretoria, South Africa.

Published: January 2021

AI Article Synopsis

  • Human activities like agriculture and mining significantly contribute to water pollution, affecting microbial communities, though the specific impacts of combined pollution sources are not fully understood.
  • A study conducted in South Africa’s Olifants River catchment used advanced genetic sequencing to analyze the effects of chronic pollution on bacterial and archaeal communities, revealing variations in microbial diversity between water and sediment samples.
  • While pollution did not affect the overall diversity (alpha diversity), it altered the composition and predicted functions of microbial communities, with specific bacteria serving as indicators of pollution levels, providing potential tools for assessing water quality degradation.

Article 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.

Download full-text PDF

Source
http://dx.doi.org/10.1007/s00203-020-02035-2DOI Listing

Publication Analysis

Top Keywords

microbial communities
12
water sediments
12
sediments olifants
8
olifants river
8
river catchment
8
catchment south
8
south africa
8
pollution
7
microbial
6
water
6

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!