High diversity and differential persistence of fecal Bacteroidales population spiked into freshwater microcosm

Water Res. 2012 Jan 1;46(1):247-57. doi: 10.1016/j.watres.2011.11.004. Epub 2011 Nov 9.

Abstract

Bacteroidales markers are promising indicators of fecal pollution and are now widely used in microbial source tracking (MST) studies. However, a thorough understanding of the persistence of Bacteroidales population after being released into environmental waters is lacking. We investigated the persistence of two host specific markers (HF183 and CF193) and temporal change of Bacteroidales population over 14 days in freshwater microcosms seeded with human or bovine feces. The concentrations of HF183/CF193 and Escherichia coli were determined using quantitative polymerase chain reaction (qPCR) and standard cultivation method, respectively. Shifts in the Bacteroidales population structure were fingerprinted using PCR-denaturing gradient gel electrophoresis (DGGE) and subsequent sequencing analysis targeting both 16S rDNA and rRNA-transcribed cDNA. Both HF183 and CF193 decayed significantly faster than E. coli but the decay curves fit poorly with first-order model. High diversity of Bacteroidales population was observed for both microcosms, and persistence of different species in the population varied. Sequence analysis indicated that most of the bovine Bacteroidales populations in our study are unexplored. DGGE and decay curve indicated that RNA decayed faster than DNA, further supporting the use of rRNA as indicator of metabolically active Bacteroidales population. Evaluations with more realistic scenarios are warranted prior to extending the results of this study to real field settings.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Animals
  • Bacteroidetes / genetics*
  • Base Sequence
  • Cattle
  • DNA, Bacterial / genetics
  • Denaturing Gradient Gel Electrophoresis
  • Escherichia coli / genetics
  • Feces / microbiology*
  • Fresh Water / microbiology*
  • Genetic Markers
  • Genetic Variation*
  • Humans
  • Microbial Viability
  • Molecular Sequence Data
  • RNA, Bacterial / genetics
  • RNA, Ribosomal, 16S / genetics
  • Regression Analysis
  • Species Specificity

Substances

  • DNA, Bacterial
  • Genetic Markers
  • RNA, Bacterial
  • RNA, Ribosomal, 16S

Associated data

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