Single-stranded conformational polymorphism for separation of mixed rRNAS (rRNA-SSCP), a new method for profiling microbial communities

Toward the development of microbial indicators for wetland assessment

Wetland assessment tools are being developed and employed in wetland monitoring and conservation based on physical, chemical and biological characterization. In wetland biological assessment, various ecological functions have been described by biological traits of an entire species pool that adapts to different types of wetland environments. Since microorganisms play a key role in wetland biogeochemical processes and respond quickly to environmental disturbances, this review paper describes the different macro indicators used in wetland biological monitoring and expands the potential use of microbial indicators in wetland assessment and management. Application of molecular microbial technologies paves the path to an integrated measure of wetland health conditions. For example, the ratio of ammonia-oxidizing archaeal and bacterial populations has been proposed to serve as a microbial indicator of wetland nutrient conditions. The microbial indicators coupled with physical, chemical and other biological parameters are vital to the development of multi-metric index for measuring wetland health conditions. Inclusion of microbial indicators will lead to a more comprehensive wetland assessment for wetland restoration and management practices.

Capillary electrophoresis ribosomal RNA single-stranded conformation polymorphism: a new approach for characterization of low-diversity microbial communities

Capillary electrophoresis (CE) has been the principle system for nucleic acid analysis since the early 1990s due to its inherent advantages such as fast analysis time, high resolution and efficiency, minimal sample requirement, high detection sensitivity, and automation. In the past few decades, microbial community fingerprinting methods such as terminal restriction fragment length polymorphism and single-stranded conformation polymorphism (SSCP) have migrated to CE to utilize its advantages over conventional slab gel electrophoresis. Recently, a gel-based direct rRNA fingerprint method was demonstrated. Different from other existing microbial community characterization approaches, this novel approach is polymerase chain reaction free and capable of providing information on the relative abundance of rRNA from individual phylotypes in low-diversity samples. As a gel-based method, it has a long analysis time and relatively large reagent and sample requirements. Here, we addressed these limitations by transferring the RNA fingerprint approach to the CE platform. Analysis time significantly improved from 24 h to 60 min, and the use of a fluorescently labeled hybridization probe as the detection strategy decreased the sample requirement by ten-fold. The combination of fast analysis time, low sample requirement, and sensitive fluorescence detection makes CE-RNA-SSCP an appealing new approach for characterizing low-diversity microbial communities.

Principal methods for isolation and identification of soil microbial communities

Soil microbial populations play crucial role in soil properties and influence below-ground ecosystem processes. Microbial composition and functioning changes the soil quality through decomposition of organic matter, recycling of nutrients, and biological control of parasites of plants. Moreover, the discovery that soil microbes may translate into benefits for biotechnology, management of agricultural, forest, and natural ecosystems, biodegradation of pollutants, and waste treatment systems maximized the need of scientists for the isolation and their characterization. Operations such as the production of antibiotics and enzymic activities from microorganisms of soil constitute objectives of industry in her effort to cope with the increase of population of earth and disturbance of environment and may ameliorate the effects of global climate change. In the past decades, new biochemical and molecular techniques have been developed in our effort to identify and classify soil bacteria. The goal of measuring the soil microbial diversity is difficult because of the limited knowledge about bacteria species and classification through families and orders. Molecular techniques extend our knowledge about microbial diversity and help the taxonomy of species. Measuring and monitoring soil microbial communities can lead us to better understanding of their composition and function in many ecosystem processes.

Direct rRNA fingerprinting, a novel method to profile low diversity microbial communities

In the past decade, an increasing number of methods in microbial ecology have been developed that address the questions of which microbes exist in the environment, what their roles are and, to some extent, what their abundance is. In the present paper, we propose and describe the proof of principle of a novel method for analysing shifts in microbial community composition that uses small RNA fragments directly derived from 16S rRNA. Community fingerprints are generated on the basis of sequence-dependent conformational differences of rRNA fragments. We applied this method to profile artificial and natural communities and to detect changes in community structure in enrichment cultures. This method constitutes a PCR-free alternative to microbial community characterisation and can provide information on the relative abundance of rRNA from individual phylotypes in low diversity samples.

Comparative evaluation of prokaryotic 16S rDNA clone libraries and SSCP in groundwater samples

A comparison of ribosomal RNA sequence analysis methods based on clone libraries and single-strand conformational polymorphism technique (SSCP) was performed with groundwater samples obtained between 523-555 meters below surface. The coverage of analyzed clones by phylotype-richness estimates was between 88-100%, confirming that the clone libraries were adequately examined. Analysis of individual bands retrieved from SSCP gels identified 1-6 different taxonomic units per band, suggesting that a single SSCP band does often represent more than one single prokaryotic species. The prokaryotic diversity obtained by both methods showed an overall difference of 42-80%. In comparison to SSCP, clone libraries underestimated the phylogenetic diversity and only 36-66% of the phylotypes observed with SSCP were also detected with the clone libraries. An exception was a sample where the SSCP analysis of Archaea identified only half of the phylotypes retrieved by the clone library. Overall, this study suggests that the clone library and the SSCP approach do not provide an identical picture of the prokaryotic diversity in groundwater samples. The results clearly show that the SSCP method, although this approach is prone to generate methodological artifacts, was able to detect significantly more phylotypes than microbial community analysis based on clone libraries.

Recent advances in molecular techniques for the detection of phylogenetic markers and functional genes in microbial communities

The detection and analysis of nucleic acids extracted from microbial communities are the ultimate ways to determine the diversity and functional capability of microbial communities in the environments. However, it remains a challenge to use molecular techniques for unequivocal determination and quantification of microbial species composition and functional activities. Considerable efforts have been made to enhance the capability of molecular techniques. Here an update of the recent developments in molecular techniques for environmental microbiology is provided.