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Author Pavissich, J.P.; Silva, M.; Gonzalez, B.
Title Sulfate Reduction, Molecular Diversity, And Copper Amendment Effects In Bacterial Communities Enriched From Sediments Exposed To Copper Mining Residues Type
Year 2010 Publication Environmental Toxicology And Chemistry Abbreviated Journal Environ. Toxicol. Chem.
Volume 29 Issue 2 Pages 256-264
Keywords Sulfate reduction; Coastal sediments; Sulfate-reducing bacteria; Copper; Molecular diversity
Abstract Sulfate-reducing bacterial communities from coastal sediments with a long-term exposure to copper (Cu)-mining residues were studied in lactate enrichments. The toxicity of excess copper may affect sulfate-reducing bacterial communities. Sulfate reduction was monitored by sulfate and organic acid measurements. Molecular diversity was analyzed by 16S rRNA, dissimilatory sulfate reduction dsrAB, and Cu translocating phospho-type adenosine triphosphatases (P-ATPases) cop-like gene sequence profiling. The influence of Cu amendment was tested in these enrichments. Results showed fast sulfate reduction mostly coupled to incomplete organic carbon oxidation and partial sulfate reduction inhibition due to copper amendment. The 16S rRNA clonal libraries analysis indicated that delta- and gamma-Proteobacteria and Cytophaga-Flexibacter-Bacteroides dominated the enrichments. The dsrAB libraries revealed the presence of Desulfobacteraceae and Desulfovibrionaceae families-related sequences. Copper produced significant shifts (i.e., a decrease in the relative abundance of sulfate-reducing microorganisms) in the enriched bacterial community structure as determined by terminal-restriction fragment length polymorphism (T-RFLP) profiling and multivariate analyses. Clonal libraries of cop-like sequences showed low richness in the enriched microbial communities, and a strong effect of copper on its relative abundance. Novel Cu-P-IB-ATPase sequences encoding Cu resistance were detected. The present study indicates that Cu does not significantly affect sulfate reduction and genetic diversity of taxonomic and dissimilatory sulfate-reduction molecular markers. However, the diversity of Cu resistance genetic determinants was strongly modified by this toxic metal. Environ. Toxicol. Chem. 2010;29:256-264. (C) 2009 SETAC
Address [Pavissich, Juan P.; Silva, Macarena; Gonzalez, Bernardo] Pontificia Univ Catolica Chile, Fac Ciencias Biol, Millennium Nucleus Microbial Ecol & Environm Micr, Dept Mol Genet & Microbiol,CASEB, Santiago, Chile, Email: bernardo.gonzalez@uai.cl
Corporate Author Thesis
Publisher Setac Press Place of Publication Editor
Language English Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 0730-7268 ISBN Medium
Area Expedition Conference
Notes WOS:000274272500004 Approved
Call Number UAI @ eduardo.moreno @ Serial 81
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Author Santore, R.C.; Ryan, A.C.; Kroglund, F.; Rodriguez, P.H.; Stubblefield, W.A.; Cardwell, A.S.; Adams, W.J.; Nordheim, E.
Title Development and Application of a Biotic Ligand Model for Predicting the Chronic Toxicity of Dissolved and Precipitated Aluminum to Aquatic Organisms Type
Year 2018 Publication Environmental Toxicology And Chemistry Abbreviated Journal Environ. Toxicol. Chem.
Volume 37 Issue 1 Pages 70-79
Keywords Aluminum; Biotic ligand model; Bioavailability; Chronic toxicity; Water quality criteria
Abstract Aluminum (Al) toxicity to aquatic organisms is strongly affected by water chemistry. Toxicity-modifying factors such as pH, dissolved organic carbon (DOC), hardness, and temperature have a large impact on the bioavailability and toxicity of Al to aquatic organisms. The importance of water chemistry on the bioavailability and toxicity of Al suggests that interactions between Al and chemical constituents in exposures to aquatic organisms can affect the form and reactivity of Al, thereby altering the extent to which it interacts with biological membranes. These types of interactions have previously been observed in the toxicity data for other metals, which have been well described by the biotic ligand model (BLM) framework. In BLM applications to other metals (including cadmium, cobalt, copper, lead, nickel, silver, and zinc), these interactions have focused on dissolved metal. A review of Al toxicity data shows that concentrations of Al that cause toxicity are frequently in excess of solubility limitations. Aluminum solubility is strongly pH dependent, with a solubility minimum near pH 6 and increasing at both lower and higher pH values. For the Al BLM, the mechanistic framework has been extended to consider toxicity resulting from a combination of dissolved and precipitated Al to recognize the solubility limitation. The resulting model can effectively predict toxicity to fish, invertebrates, and algae over a wide range of conditions. (C) 2017 SETAC
Address [Santore, Robert C.; Ryan, Adam C.] Windward Environm, Syracuse, NY 13202 USA, Email: RobertS@WindwardEnv.com
Corporate Author Thesis
Publisher Wiley Place of Publication Editor
Language English Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 0730-7268 ISBN Medium
Area Expedition Conference
Notes WOS:000418866400009 Approved
Call Number UAI @ eduardo.moreno @ Serial 824
Permanent link to this record