Microbial Ecology

, Volume 54, Issue 4, pp 761–770 | Cite as

Isolation and Characterization of Diuron-degrading Bacteria from Lotic Surface Water

  • Isabelle Batisson
  • Stéphane Pesce
  • Pascale Besse-Hoggan
  • Martine Sancelme
  • Jacques Bohatier
Article

Abstract

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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Copyright information

© Springer Science+Business Media, LLC 2007

Authors and Affiliations

  • Isabelle Batisson
    • 1
  • Stéphane Pesce
    • 1
  • Pascale Besse-Hoggan
    • 2
  • Martine Sancelme
    • 2
  • Jacques Bohatier
    • 1
  1. 1.Laboratoire de Biologie des ProtistesUMR CNRS 6023, Université Blaise PascalAubière cedexFrance
  2. 2.Laboratoire de Synthèse Et Etude de Systèmes à Intérêt BiologiquesUMR 6504 CNRS, Université Blaise PascalAubière cedexFrance

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