An integrated insight into the response of bacterial communities to anthropogenic contaminants in a river: A case study of the Wonderfonteinspruit catchment area, South Africa

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dc.contributor.author Jordaan, Karen
dc.contributor.author Comeau, A.M.
dc.contributor.author Khasa, D.P.
dc.contributor.author Bezuidenhout, C.C.
dc.date.accessioned 2019-08-23T14:21:35Z
dc.date.available 2019-08-23T14:21:35Z
dc.date.issued 2019
dc.description S1 Fig. Rarefaction curves for all sequences at all sampling locations estimating the number of bacterial OTUs at the 97% identity level. en_ZA
dc.description S2 Fig. Stacked column bar graph representing the predicted metabolic attributes between upstream and downstream sites against the KEGG database implemented in PICRUSt at (A) tier level-1 and (B) tier level-2. The mean Nearest Sequenced Taxon Index (NSTI) value for all samples was 0.188 ± 0.000125 s.d. en_ZA
dc.description S3 Fig. Heat map and cluster analysis of bacterial core 97% identity OTUs between the different sampling locations. Samples were grouped using hierarchical clustering (complete linkage) based on the Bray–Curtis distance matrix calculated from the relative abundances (in percent) of the OTUs. The colour code goes from blue (not detected) to yellow (low abundance) to orange (medium abundance) to red (high abundance) on a logarithmic scale to improve visualization between low and medium abundance. en_ZA
dc.description S4 Fig. Network analysis of bacterial core OTUs (i.e. OTUs with relative abundance >0.2%) and environmental parameters. Co-occurrence patterns were based on significant (P<0.05) Spearman correlations with ρ ±0.6 showing the entire network structured according to site (upstream, downstream and/or both). Each node (circle) in the network represents a unique OTU and the size is proportional to node degree. Each edge (connection) represents a strong and significant correlation (P<0.05), while the colour relates to the type of interaction: positive (grey solid lines) or negative (red dashed lines). Environmental parameters are presented by purple rectangles. en_ZA
dc.description S1 Table. Summary of the sampling area, anthropogenic activities performed in the lower WFS and associated contaminants. en_ZA
dc.description S2 Table. Recommended Target Water Quality Range (TWQR) for the lower Wonderfonteinspruit. en_ZA
dc.description The authors kindly thank IBIS/Universite´ Laval Plate-forme d’Analyses Ge´nomiques for 454- pyrosequencing and support, especially Dr. Brian Boyle, as well as Marie-E`ve Beaulieu (manager of DPK’s laboratory). We also acknowledge the Unit for Environmental Sciences and Management (UESM), and David Hamman for assistance with sampling. en_ZA
dc.description.abstract Bacterial communities in human-impacted rivers and streams are exposed to multiple anthropogenic contaminants, which can eventually lead to biodiversity loss and function. The Wonderfonteinspruit catchment area is impacted by operational and abandoned gold mines, farms, and formal and informal settlements. In this study, we used 16S rRNA gene high-throughput sequencing to characterize bacterial communities in the lower Wonderfonteinspruit and their response to various contaminant sources. The results showed that composition and structure of bacterial communities differed significantly (P<0.05) between less (downstream) and more (upstream) polluted sites. The taxonomic and functional gene dissimilarities significantly correlated with each other, while downstream sites had more distinct functional genes. The relative abundance of Proteobacteria, Bacteroidetes and Actinobacteria was higher at upstream sites, while Acidobacteria, Cyanobacteria, Firmicutes and Verrucomicrobia were prominent at downstream sites. In addition, upstream sites were rich in genera pathogenic and/or potentially pathogenic to humans. Multivariate and correlation analyses suggest that bacterial diversity was significantly (P<0.05) impacted by pH and heavy metals (cobalt, arsenic, chromium, nickel and uranium). A significant fraction (~14%) of the compositional variation was explained by a combination of anthropogenic inputs, of which mining (~6%) was the main contributor to bacterial community variation. Network analysis indicated that bacterial communities had non-random inter- and intra-phyla associations and that the main taxa showed both positive and negative linkages to environmental parameters. Our results suggest that species sorting, due to environmental parameters, was the main process that structured bacterial communities. Furthermore, upstream sites had higher relative abundances of genes involved in xenobiotic degradation, suggesting stronger removal of polycyclic aromatic hydrocarbons and other organic compounds. This study provides insights into the influences of anthropogenic land use on bacterial community structure and functions in the lower Wonderfonteinspruit. en_ZA
dc.description.department Microbiology and Plant Pathology en_ZA
dc.description.librarian am2019 en_ZA
dc.description.sponsorship The Canadian Bureau for International Education (CBIE) (https://cbie.ca) to KJ & DPK, the Natural Sciences and Engineering Research Council of Canada (NSERC) Discovery Grant (www.nserc-crsng.gc. ca/index_eng.asp) to DPK, the Water Research Commission (WRC) (www.wrc.org.za) through grant K5/1996 to CCB, the National Research Foundation (NRF) (https://www.nrf.ac.za) to CCB, and by Queen Elizabeth Scholars (QES) to DPK. en_ZA
dc.description.uri http://www.plosone.org en_ZA
dc.identifier.citation Jordaan K, Comeau AM, Khasa DP, Bezuidenhout CC (2019) An integrated insight into the response of bacterial communities to anthropogenic contaminants in a river: A case study of the Wonderfonteinspruit catchment area, South Africa. PLoS ONE 14(5): e0216758. https:// DOI.org/10.1371/journal.pone.0216758. en_ZA
dc.identifier.issn 1932-6203 (online)
dc.identifier.other 10.1371/journal.pone.0216758
dc.identifier.uri http://hdl.handle.net/2263/71195
dc.language.iso en en_ZA
dc.publisher BioMed Central en_ZA
dc.rights © 2019 The Authors. This is an open access article distributed under the terms of the Creative Commons Attribution License. en_ZA
dc.subject Bacterial communities en_ZA
dc.subject Anthropogenic contaminants en_ZA
dc.subject Wonderfonteinspruit en_ZA
dc.subject Informal settlements en_ZA
dc.subject Networks en_ZA
dc.subject Sediments en_ZA
dc.subject Bacterioplankton en_ZA
dc.subject Pollution en_ZA
dc.subject Water en_ZA
dc.subject Diversity en_ZA
dc.subject Urban river en_ZA
dc.subject Heavy metals en_ZA
dc.subject Heterotrophic bacteria en_ZA
dc.subject Microbial communities en_ZA
dc.title An integrated insight into the response of bacterial communities to anthropogenic contaminants in a river: A case study of the Wonderfonteinspruit catchment area, South Africa en_ZA
dc.type Article en_ZA


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