کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
10889840 1081506 2010 5 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Active community profiling via capillary electrophoresis single-strand conformation polymorphism analysis of amplified 16S rRNA and 16S rRNA genes
موضوعات مرتبط
علوم زیستی و بیوفناوری بیوشیمی، ژنتیک و زیست شناسی مولکولی بیوتکنولوژی یا زیست‌فناوری
پیش نمایش صفحه اول مقاله
Active community profiling via capillary electrophoresis single-strand conformation polymorphism analysis of amplified 16S rRNA and 16S rRNA genes
چکیده انگلیسی
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.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Microbiological Methods - Volume 83, Issue 3, December 2010, Pages 286-290
نویسندگان
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