Spatial and temporal variation of Enterobacter genotypes in sediments and the underlying hyporheic zone of an agricultural stream

• Published in: Microbial ecology Vol. 42; no. 3; pp. 286 - 294
• Main Authors: Halda-Alija, L, Hendricks, S.P, Johnston, T.C
• Format: Journal Article
• Language: English
• Published: United States Springer-Verlag New York Inc 01-10-2001
• Subjects: Bacteria; Burkholderia cepacia; DNA; ecosystems; enteric bacteria; Enterobacter; Enterobacter agglomerans; Enterobacter cloacae; Enterobacteriaceae; Freshwater; genotype; gravel; intestinal microorganisms; nutrients; Pseudomonas picketii; ribosomal RNA; Sediments; Shoals; spatial variations; Streambeds; streams; Summer; Surface water; temperature; temporal variation; Upwelling water; USA, Kentucky; Winter; Kentucky; USA, Kentucky
• ISSN: 0095-3628; 1432-184X
• DOI: 10.1007/s00248-001-0021-0

Population studies of enteric bacteria in an agriculturally impacted stream (Ledbetter Creek, Murray, Kentucky, USA) were conducted over a period of 2 years. Total number of bacteria, cultivated heterotrophic aerobic bacteria, and enteric bacteria showed significant differences between winter and summer. The cultivated numbers of heterotrophic aerobic bacteria and enteric bacteria were significantly more abundant in summer than in winter. The abundance of enteric bacteria was 12.9% in an upwelling zone and 9.8% in a downwelling zone in summer. Most of the enteric bacterial strains isolated on MacConkey agar were assigned to Enterobacter cloacae and E. agglomerans by API 20E and an analysis of the restriction patterns produced by amplified DNA coding for 16S rRNA (ARDRA) with the enzyme Hpa II. E. cloacae and E. agglomerans genotypes isolated from three hyporheic and gravel bar depth intervals (0-10 cm, 15-25 cm, and 30-40 cm) in summer and fall showed significant spatial variation and were heterogeneously distributed along the stream. Temperature, inorganic nutrients, and occurrence of anoxic zones affected the distribution of enteric bacteria. These techniques can be used as a model to monitor shifts among different species in the stream ecosystem.