The bacterial community structure of a diuron-degrading enrichment culture from lotic surface water samples was analyzed and the diuron-degrading strains were selected using a series of techniques combining temporal temperature gradient gel electrophoresis (TTGE) of 16 S rDNA gene V1-V3 variable regions, isolation of strains on agar plates, colony hybridization methods, and biodegradation assays. The TTGE fingerprints revealed that diuron had a strong impact on bacterial community structure and highlighted both diuron-sensitive and diuron-adapted bacterial strains. Two bacterial strains, designated IB78 and IB93 and identified as belonging to Pseudomonas sp. and Stenotrophomonas sp., were isolated and shown to degrade diuron in pure resting cells in a first-order kinetic reaction during the first 24 h of incubation with no 3,4-DCA detected. The percentages of degradation varied from 25% to 60% for IB78 and 20% to 65% for IB93 and for a diuron concentration range from 20 mg/L to 2 mg/L, respectively. It is interesting to note that diuron was less degraded by single isolates than by mixed resting cells, thereby underlining a cumulative effect between these two strains. To the best of our knowledge, this is the first report of diuron-degrading strains isolated from lotic surface water.
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http://dx.doi.org/10.1007/s00248-007-9241-2 | DOI Listing |
J Contam Hydrol
January 2025
Department of Computer Science, Instituto Nacional de Astrofísica, Optica y Electrónica, Luis Enrique Erro 1, Tonantzintla, 72840 Puebla, México; Consejo Nacional de Humanidades, Ciencias y Tecnologías (Conahcyt), Insurgentes Sur 1582, Mexico City 03940, Mexico. Electronic address:
This study addresses the critical challenge of assessing the quality of groundwater and surface water, which are essential resources for various societal needs. The main contribution of this study is the application of machine learning models for evaluating water quality, using a national database from Mexico that includes groundwater, lotic (flowing), lentic (stagnant), and coastal water quality parameters. Notably, no comparable water quality classification system currently exists.
View Article and Find Full Text PDFJ Hazard Mater
December 2024
Department of Ecology, Jinan University, Guangzhou 510632, PR China.
Heavy metals (HMs) exert a profound influence on soil carbon storage potential. The microbially-mediated association between HM content and carbon structure in riverine sediments remains unclear in lotic ecosystems. We investigated the spatiotemporal variations of HMs content, carbon content and microbial communities in riverine surface sediments, and further explored the chemical structure of sediment organic carbon (OC), the molecular composition of dissolved organic matter (DOM), and their interactions with microorganisms.
View Article and Find Full Text PDFAquat Toxicol
December 2024
Department Aquatic Ecotoxicology, Goethe University Frankfurt, Max-von-Laue Straße 13, 60438 Frankfurt am Main, Germany; Kompetenzzentrum Wasser Hessen, Max-von-Laue Straße 13, 60438 Frankfurt am Main, Germany.
Based on effect data, regulatory acceptable concentrations (RACs) are derived for surface waters to avoid unacceptable effects on the environment. RACs often relay on acute tests with single species, which may underestimate the effects under field conditions. Therefore, we applied a higher tier approach with artificial indoor streams (AIS).
View Article and Find Full Text PDFZoology (Jena)
November 2024
Laboratório de Ecologia do Ictioplâncton e Pesca em Águas Interiores, Instituto de Ciências e Tecnologia das Águas, Universidade Federal do Oeste do Pará, Santarém, PA 68040-255, Brazil; Programa de Pós-Graduação em Biodiversidade, Instituto de Ciências e Tecnologia das Águas, Universidade Federal do Oeste do Pará, Santarém, PA 68040-255, Brazil. Electronic address:
During early development, fishes undergo significant changes that influence external morphology and the functioning of internal organs and systems. This often results in gradual variation of the morphological traits of individuals across developmental stages. The investigation of larval and juvenile fish development and growth patterns has pertinent implications for the systematic and ecological elucidation of species.
View Article and Find Full Text PDFSci Total Environ
December 2024
Office of Research and Development, United States Environmental Protection Agency, Cincinnati, OH 45268, United States. Electronic address:
Phytoplankton overgrowth, which characterizes the eutrophication or trophic status of surface water bodies, threatens ecosystems and public health. Quantitative polymerase chain reaction (qPCR) is promising for assessing the abundance and community composition of phytoplankton. However, applications of qPCR to indicate eutrophication and trophic status, especially in lotic systems, have yet to be comprehensively evaluated.
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