4.3 Article

Active community profiling via capillary electrophoresis single-strand conformation polymorphism analysis of amplified 16S rRNA and 16S rRNA genes

期刊

JOURNAL OF MICROBIOLOGICAL METHODS
卷 83, 期 3, 页码 286-290

出版社

ELSEVIER
DOI: 10.1016/j.mimet.2010.10.002

关键词

CE-SSCP; Microbial community; 16S rRNA; Microbial fingerprinting

资金

  1. NSF [0651947]
  2. EPA Office of Research and Development Engineering Technical Support Center [68-C-00-136]
  3. Rocky Mountain Hazardous Substance Research Center through the EPA [R 8395101-0]
  4. Div Of Chem, Bioeng, Env, & Transp Sys
  5. Directorate For Engineering [0900147] Funding Source: National Science Foundation
  6. Div Of Chem, Bioeng, Env, & Transp Sys
  7. Directorate For Engineering [0651947] Funding Source: National Science Foundation

向作者/读者索取更多资源

Here, we report the validation and advancement of a high-throughput method for fingerprinting the active members of a microbial community. This method, termed active community profiling (ACP), provides information about both the composition and the activity of mixed microbial cultures via comparative measurements of amplified 16S rRNA (RNA) and 16S rRNA genes (DNA). Capillary electrophoresis is used to resolve single-strand conformation polymorphisms of polymerase chain reaction (PCR) and reverse transcription PCR (RT-PCR) products, producing electropherograms representative of the community structure. Active members of the community are distinguished by elevated RNA:DNA peak area ratios. Chemostat experiments with defined populations were conducted to validate the ACP approach. Using a pure culture of Escherichia coli, a direct correlation was found between the growth rate and the RNA:DNA peak ratio. In a second validation experiment, a binary culture of E. coli and Pseudomonas putida was subjected to a controlled environmental change consisting of a shift to anaerobic conditions. ACP revealed the expected cessation of growth of P. putida, an obligate aerobe, while the corresponding DNA-only analysis indicated no change in the culture. Finally, ACP was applied to a complex microbial community, and a novel binning approach was demonstrated for integrating the RNA and DNA electropherograms. ACP thus represents a significant advance from traditional DNA-based profiling techniques, which do not distinguish active from inactive or dead cells, and is well suited for high-throughput community analysis. (C) 2010 Elsevier B.V. All tights reserved.

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