Science Inventory

16S rRNA Gene Sequence Analysis of Drinking Water Using RNA and DNA Extracts as Targets for Clone Library Development

Citation:

REVETTA, R. P., R. S. Matlib, AND J. W. SANTO-DOMINGO. 16S rRNA Gene Sequence Analysis of Drinking Water Using RNA and DNA Extracts as Targets for Clone Library Development . CURRENT MICROBIOLOGY. Springer, New York, NY, 63(1):50-59, (2011).

Impact/Purpose:

To inform the public.

Description:

The bacterial composition of chlorinated drinking water was analyzed using 16S rRNA gene clone libraries derived from DNA extracts of 12 samples and compared to clone libraries previously generated using RNA extracts from the same samples. Phylogenetic analysis of 761 DNA-based clone sequences showed that unclassified Bacteria were the most abundant sequences, representing 66% of all DNA sequences analyzed. Other phylogenetic groups identified included Proteobacteria (20%), Actinobacteria (9%), cyanobacteria (3%), and Bacteroidetes (2%). The composition of RNA-based libraries was similar to the DNA-based libraries with a few notable exceptions: Proteobacteria were more dominant in the RNA clone libraries (i.e., 35% RNA; 20% DNA). Differences in the Proteobacteria composition were also observed; alpha-Proteobacteria was 22 times more abundant in the RNA-based clones while beta-Proteobacteria was eight times more abundant in the DNA libraries. Nearly twice as many DNA operational taxonomic units (OTUs) than RNA OTUs were observed at distance 0.03 (101 DNA; 53 RNA). Twenty four OTUs were shared between all RNA- and DNA-based libraries (OTU0.03) representing only 18% of the total OTUs, but 81% (1527/1883) of all sequences. Such differences between clone libraries demonstrate the necessity of generating both RNA- and DNA-derived clone libraries to compare these two different molecular approaches for community analyses.

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Record Details:

Record Type: DOCUMENT (JOURNAL/PEER REVIEWED JOURNAL)
Product Published Date: 07/01/2011
Record Last Revised: 05/31/2011
OMB Category: Other
Record ID: 231826