Evaluation of sediment slurry microcosms for modeling microbial communities in estuarine sediments

Janis C. Kurtz, Richard Devereux, Tamar Barkay, Robert B. Jonas

Research output: Contribution to journalArticlepeer-review

7 Scopus citations

Abstract

Microcosms consisting of estuarine sediment slurries were examined for their utility as models for assessing effects on microbial community structure and function. Data were obtained over a 2-week period to evaluate the reproducibility between individual microcosms and the variability between microcosm slurries and fresh sediment cores. Sulfate reduction rates in microcosm slurries did not differ significantly from rates for freshly collected sediment cores (p ≤ 0.05). However, the measured rates were more variable in microcosm slurries (SE = ±0.03-0.25 nM/ml/h) than in freshly collected sediments (SE = ±0.01-0.12 nM/ml/ h). Rates of dark CO2 fixation in the microcosm slurries declined but were consistent with rates in freshly collected sediments (6.51 and 9.29 nM/ml/h on day 3, respectively). Relative abundances (RAs) of 16S rRNA determined for six specific phylogenetic assemblages of sulfate-reducing bacteria were reproducible among three microcosm replicates with Desulfovibrio spp. consistently in greatest abundance (RA = 8.61 ± 1.40, day 7). Total direct bacterial counts were not significantly different between freshly collected sediments and microcosm slurries (p ≤ 0.05). The results indicated that microcosms were both reproducible and representative of the field, and could thus provide a potentially useful tool for studies of microbial community response to perturbation.

Original languageEnglish (US)
Pages (from-to)1274-1281
Number of pages8
JournalEnvironmental Toxicology and Chemistry
Volume17
Issue number7
DOIs
StatePublished - Jun 26 1998
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Environmental Chemistry
  • Health, Toxicology and Mutagenesis

Keywords

  • Estuarine sediment
  • Microbial communities
  • Microcosm
  • Risk assessment
  • Sulfate-reducing bacteria

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