Literature DB >> 19308636

Identification and characterization of freshwater algae from a pollution gradient using rbcL sequencing and toxicity testing.

Phil M Novis1, Cornelia Halle, Belinda Wilson, Louis A Tremblay.   

Abstract

One approach in toxicity testing using microalgae is to assess the modulation of light energy absorbed as a result of exposure to contaminants. In this study, four strains of microalgae were isolated to obtain a variety of taxa for testing from sites receiving various levels of environmental stressors around Christchurch, New Zealand. The strains were characterized by partially sequencing rbcL, a routinely used gene in plant phylogenetics with a large existing database of strains. Based on morphological observation and gene sequences, the strains were identified as Chlorella sp., Neochloris sp., and Choricystis minor. The isolates were exposed to the herbicide glyphosate and the metal zinc, and their responses were measured using the ToxY-PAM system. Chlorella sp. was the most sensitive. Two strains of Choricystis minor were isolated from different ponds in an effluent gradient at a sewage treatment plant. Analysis of variance indicated that the isolate from the least contaminated pond was more sensitive to zinc (although regression analysis did not show this result). This suggests that the selective pressure exerted on algal strains by a contamination gradient over short a distance is detectable by both genetic and physiological methods, with implications for sourcing appropriate indicator organisms from the environment.

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Year:  2009        PMID: 19308636     DOI: 10.1007/s00244-009-9312-0

Source DB:  PubMed          Journal:  Arch Environ Contam Toxicol        ISSN: 0090-4341            Impact factor:   2.804


  1 in total

1.  Metal biosorption in lignocellulosic biofuel biorefinery effluent: an initial step towards sustainability of water resources.

Authors:  Amanda J Palumbo; Sean C Taylor; Sarah L Addison; Alison H Slade; Chris N Glover
Journal:  J Ind Microbiol Biotechnol       Date:  2012-04-26       Impact factor: 3.346

  1 in total

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