Literature DB >> 17484038

The use of molecular techniques based on ribosomal RNA and DNA for rumen microbial ecosystem studies: a review.

Weidong Deng1, Dongmei Xi, Huaming Mao, Metha Wanapat.   

Abstract

This paper analyses the research progress in the use of molecular techniques based on ribosomal RNA and DNA (rRNA/rDNA) for rumen microbial ecosystem since first literature by Stahl et al. (1988). Because rumen microbial populations could be under-estimated by adopting the traditional techniques such as roll-tube technique or most-probable-number estimates, modern molecular techniques based on 16S/18S rRNA/rDNA can be used to more accurately provide molecular characterization, microbe populations and classification scheme than traditional methods. Phylogenetic-group-specific probes can be used to hybridize samples for detecting and quantifying of rumen microbes. But, competitive-PCR and real-time PCR can more sensitively quantify rumen microbes than hybridization. Molecular fingerprinting techniques including both denaturing gradient gel electrophoresis (DGGE), temperature gradient gel electrophoresis (TGGE) and restriction fragment length polymorphisms (RFLP) can used to explore diversity of bacteria, protozoa and fungi in the rumen ecosystem. By constructing clone libraries of 16S/18S rRNA/rDNA of rumen microbes, more new microbes can be discovered and identified. For fungi, internal transcribed spacers (ITS) of fungi are better than 18S rRNA/rDNA for discriminating operational taxonomic units. In conclusion, 16S/18S rRNA/rDNA procedures have been used with success in rumen microbes and are quickly gaining acceptance for studying rumen microbial ecosystem, and will become useful methods for rumen ecology research. However, molecular techniques based on 16S/18S rRNA/rDNA don't preclude classical and traditional microbiological techniques. It should used together to acquire accurate and satisfactory results.

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Year:  2007        PMID: 17484038     DOI: 10.1007/s11033-007-9079-1

Source DB:  PubMed          Journal:  Mol Biol Rep        ISSN: 0301-4851            Impact factor:   2.316


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