ArticlePloS one2010
Characterization of coastal urban watershed bacterial communities leads to alternative community-based indicators.
Article in PloS one, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.
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Who cites it
37 citing papers in PubMed.
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- Seasonal dynamics of bacterial community structure and function in the surf zone seawater of a recreational beach in Ostend, Belgium.Environmental microbiology reports · 2024Article
- Towards more accurate microbial source tracking via non-negative matrix factorization (NMF).Bioinformatics (Oxford, England) · 2024Article
- Impact of wastewater treatment upgrade and nitrogen removal on bacterial communities and their interactions in eutrophic prairie streams.FEMS microbiology ecology · 2023Article
- Article
- Deciphering the influence of multiple anthropogenic inputs on taxonomic and functional profiles of the microbial communities in Yitong River, Northeast China.Environmental science and pollution research international · 2022Article
- Community-Based 16S rDNA Fingerprinting Analysis of Geographically Distinct Marine Sediments of Unexplored Coastal Regions of Palk Bay and Gulf of Mannar.Current microbiology · 2022Article
- Rhizosphere microbiome dynamics in tropical seagrass under short-term inorganic nitrogen fertilization.Environmental science and pollution research international · 2021Article
- Patterns in Benthic Microbial Community Structure Across Environmental Gradients in the Beaufort Sea Shelf and Slope.Frontiers in microbiology · 2021Article
- Relationship between Rainfall, Fecal Pollution, Antimicrobial Resistance, and Microbial Diversity in an Urbanized Subtropical Bay.Applied and environmental microbiology · 2020Article
- Vertical Beta-Diversity of Bacterial Communities Depending on Water Stratification.Frontiers in microbiology · 2020Article
- FEAST: fast expectation-maximization for microbial source tracking.Nature methods · 2019Article
- Development of microbial community-based index of biotic integrity to evaluate the wetland ecosystem health in Suzhou, China.Environmental monitoring and assessment · 2019Article
- Effects of nutrient loading on sediment bacterial and pathogen communities within seagrass meadows.MicrobiologyOpen · 2018Article
- Bacterial communities and potential waterborne pathogens within the typical urban surface waters.Scientific reports · 2018Article
- Dynamics of Sediment Microbial Functional Capacity and Community Interaction Networks in an Urbanized Coastal Estuary.Frontiers in microbiology · 2018Article
- Bacterial community structure transformed after thermophilically composting human waste in Haiti.PloS one · 2017Article
- A comprehensive method for amplicon-based and metagenomic characterization of viruses, bacteria, and eukaryotes in freshwater samples.Microbiome · 2016Article
- The microbiome of urban waters.International microbiology : the official journal of the Spanish Society for Microbiology · 2015Review
- Coral transcriptome and bacterial community profiles reveal distinct Yellow Band Disease states in Orbicella faveolata.The ISME journal · 2014Article
Corrections and comments
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundMicrobial communities in aquatic environments are spatially and temporally dynamic due to environmental fluctuations and varied external input sources. A large percentage of the urban watersheds in the United States are affected by fecal pollution, including human pathogens, thus warranting comprehensive monitoring. METHODOLOGY/PRINCIPAL
findingsUsing a high-density microarray (PhyloChip), we examined water column bacterial community DNA extracted from two connecting urban watersheds, elucidating variable and stable bacterial subpopulations over a 3-day period and community composition profiles that were distinct to fecal and non-fecal sources. Two approaches were used for indication of fecal influence. The first approach utilized similarity of 503 operational taxonomic units (OTUs) common to all fecal samples analyzed in this study with the watershed samples as an index of fecal pollution. A majority of the 503 OTUs were found in the phyla Firmicutes, Proteobacteria, Bacteroidetes, and Actinobacteria. The second approach incorporated relative richness of 4 bacterial classes (Bacilli, Bacteroidetes, Clostridia and alpha-proteobacteria) found to have the highest variance in fecal and non-fecal samples. The ratio of these 4 classes (BBC:A) from the watershed samples demonstrated a trend where bacterial communities from gut and sewage sources had higher ratios than from sources not impacted by fecal material. This trend was also observed in the 124 bacterial communities from previously published and unpublished sequencing or PhyloChip- analyzed studies. CONCLUSIONS/SIGNIFICANCE: This study provided a detailed characterization of bacterial community variability during dry weather across a 3-day period in two urban watersheds. The comparative analysis of watershed community composition resulted in alternative community-based indicators that could be useful for assessing ecosystem health.
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