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      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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          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.

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          Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing

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            Stochastic Community Assembly: Does It Matter in Microbial Ecology?

            Understanding the mechanisms controlling community diversity, functions, succession, and biogeography is a central, but poorly understood, topic in ecology, particularly in microbial ecology. Although stochastic processes are believed to play nonnegligible roles in shaping community structure, their importance relative to deterministic processes is hotly debated. The importance of ecological stochasticity in shaping microbial community structure is far less appreciated. Some of the main reasons for such heavy debates are the difficulty in defining stochasticity and the diverse methods used for delineating stochasticity. Here, we provide a critical review and synthesis of data from the most recent studies on stochastic community assembly in microbial ecology. We then describe both stochastic and deterministic components embedded in various ecological processes, including selection, dispersal, diversification, and drift. We also describe different approaches for inferring stochasticity from observational diversity patterns and highlight experimental approaches for delineating ecological stochasticity in microbial communities. In addition, we highlight research challenges, gaps, and future directions for microbial community assembly research.
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              Soil bacterial diversity in the Arctic is not fundamentally different from that found in other biomes.

              The severe environmental stresses of the Arctic may have promoted unique soil bacterial communities compared with those found in lower latitude environments. Here, we present a comprehensive analysis of the biogeography of soil bacterial communities in the Arctic using a high resolution bar-coded pyrosequencing technique. We also compared arctic soils with soils from a wide range of more temperate biomes to characterize variability in soil bacterial communities across the globe. We show that arctic soil bacterial community composition and diversity are structured according to local variation in soil pH rather than geographical proximity to neighboring sites, suggesting that local environmental heterogeneity is far more important than dispersal limitation in determining community-level differences. Furthermore, bacterial community composition had similar levels of variability, richness and phylogenetic diversity within arctic soils as across soils from a wide range of lower latitudes, strongly suggesting a common diversity structure within soil bacterial communities around the globe. These results contrast with the well-established latitudinal gradients in animal and plant diversity, suggesting that the controls on bacterial community distributions are fundamentally different from those observed for macro-organisms and that our biome definitions are not useful for predicting variability in soil bacterial communities across the globe. © 2010 Society for Applied Microbiology and Blackwell Publishing Ltd.
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                Author and article information

                Contributors
                Role: Data curationRole: Formal analysisRole: InvestigationRole: VisualizationRole: Writing – original draft
                Role: MethodologyRole: ValidationRole: Writing – review & editing
                Role: ConceptualizationRole: Funding acquisitionRole: MethodologyRole: Project administrationRole: ResourcesRole: SupervisionRole: ValidationRole: Writing – review & editing
                Role: ConceptualizationRole: Funding acquisitionRole: MethodologyRole: Project administrationRole: SupervisionRole: Writing – review & editing
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                21 May 2019
                2019
                : 14
                : 5
                : e0216758
                Affiliations
                [1 ] Unit for Environmental Sciences and Management, Microbiology, North-West University, South Africa, Potchefstroom, South Africa
                [2 ] Institut de Biologie Intégrative et des Systèmes (IBIS), Université Laval, Québec, Canada
                USDA-ARS Salinity Laboratory, UNITED STATES
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                [¤a]

                Current address: Centre for Microbial Ecology and Genomics (CMEG), University of Pretoria, Hatfield, Pretoria, South Africa

                [¤b]

                Current address: CGEB-Integrated Microbiome Resource, Dalhousie University, Halifax, Canada

                Author information
                http://orcid.org/0000-0001-9147-9827
                Article
                PONE-D-19-03307
                10.1371/journal.pone.0216758
                6528982
                31112559
                9ff31a93-c769-4afc-907e-9817542d66c3
                © 2019 Jordaan et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 3 February 2019
                : 26 April 2019
                Page count
                Figures: 8, Tables: 2, Pages: 24
                Funding
                Funded by: funder-id http://dx.doi.org/10.13039/100009288, Canadian Bureau for International Education;
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/501100001321, National Research Foundation;
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/501100004424, Water Research Commission;
                Award ID: K5/1996
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/501100000038, Natural Sciences and Engineering Research Council of Canada;
                Award Recipient :
                Funded by: Queen Elizabeth Scholars (QES)
                Award Recipient :
                The study was supported by 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. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Biology and Life Sciences
                Ecology
                Community Ecology
                Community Structure
                Ecology and Environmental Sciences
                Ecology
                Community Ecology
                Community Structure
                Physical Sciences
                Chemistry
                Chemical Elements
                Heavy Metals
                Biology and Life Sciences
                Toxicology
                Toxic Agents
                Toxins
                Heavy Metals
                Medicine and Health Sciences
                Pathology and Laboratory Medicine
                Toxicology
                Toxic Agents
                Toxins
                Heavy Metals
                Ecology and Environmental Sciences
                Pollution
                Water Pollution
                Ecology and Environmental Sciences
                Water Quality
                Physical Sciences
                Chemistry
                Chemical Elements
                Cobalt
                Biology and Life Sciences
                Agriculture
                Earth Sciences
                Marine and Aquatic Sciences
                Bodies of Water
                Rivers
                Ecology and Environmental Sciences
                Aquatic Environments
                Freshwater Environments
                Rivers
                Earth Sciences
                Marine and Aquatic Sciences
                Aquatic Environments
                Freshwater Environments
                Rivers
                Biology and Life Sciences
                Organisms
                Bacteria
                Cyanobacteria
                Custom metadata
                All high-throughput sequencing data files are available from the GenBank database (BioProject PRJNA275052).

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                Uncategorized

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