Broad range DNA probes for detecting and amplifying eubacterial nucleic acids

In this report we describe and characterize two oligomer probes that are broadly homologous to conserved eubacterial 16S ribosomal RNA (rRNA) sequences not present in human 18 rRNA or human mitochondrial 12S rRNA. One or both of the probes can detect all of 23 phylogenetically diverse eubacterial nucleic acids against which they were tested by dot blot hybridization. A sensitivity of about 1 bacterium per 10 eukaryotic cells was achieved. By using these oligomer sequences or their complements as primers in the polymerase chain reaction (PCR), the equivalent of 1 pg of E. coli DNA was detected in the presence of a large excess of eukaryotic DNA. Information useful for partial phylogenetic classification of detected organisms may be obtained by direct sequence analysis of the amplified DNA and comparison with known sequences or catalogs. Such broadly homologous probes offer advantages over more narrowly specific probes for detecting organisms whose identity is unknown. They could thus be employed for recognizing infection by organisms that cannot be cultured as may occur, for example, in tissue culture or in plant or animal diseases of unknown cause, provided the probes fail to hybridize with host nucleic acids.     

Nucleic acid probes for the food industry

Recombinant DNA technology has revolutionised microbiological analysis by providing rapid and sensitive methods for the direct detection and identification of organisms. These advances have been most successfully applied to basic research and to clinical microbiology. Continued improvements in the techniques and in assay formats have now brought them to the stage where they could be useful on an industrial scale. The use of nucleic acid techniques for the identification of bacteria of importance to the food industry is discussed with emphasis on developments in practical applications.     

A proposal on metrics for identification using nucleic acid sequences

Abstract The need is stressed for attempts to be made to permit diagnostic nucleic acid sequences to be used in a quantitative manner. Sequence differences or binding values should be converted to a distance measure and from this an ultrametric tree should be constructed. A single quantitative determination can yield considerable information about the likely identity of an unknown microorganism when the distance obtained from the sequence is compared with the tree. The concept is illustrated by hypothetical species and genus subsequences, and it is suitable both for successive use of hierarchical subsequences and for automated identification. It is pointed out that entirely specific subsequences for higher taxa may be difficult to discover. These principles will be useful for the future design of diagnostic sequences, including possible application to DNA-DNA pairing.     

Linking soil process and microbial ecology in freshwater wetland ecosystems

Soil microorganisms mediate many processes such as nitrification, denitrification, and methanogenesis that regulate ecosystem functioning and also feed back to influence atmospheric chemistry. These processes are of particular interest in freshwater wetland ecosystems where nutrient cycling is highly responsive to fluctuating hydrology and nutrients and soil gas releases may be sensitive to climate warming. In this review we briefly summarize research from process and taxonomic approaches to the study of wetland biogeochemistry and microbial ecology, and highlight areas where further research is needed to increase our mechanistic understanding of wetland system functioning. Research in wetland biogeochemistry has most often been focused on processes (e.g., methanogenesis), and less often on microbial communities or on populations of specific microorganisms of interest. Research on process has focused on controls over, and rates of, denitrification, methanogenesis, and methanotrophy. There has been some work on sulfate and iron transformations and wetland enzyme activities. Work to date indicates an important process level role for hydrology and soil nutrient status. The impact of plant species composition on processes is potentially critical, but is as yet poorly understood. Research on microbial communities in wetland soils has primarily focused on bacteria responsible for methanogenesis, denitrification, and sulfate reduction. There has been less work on taxonomic groups such as those responsible for nitrogen fixation, or aerobic processes such as nitrification. Work on general community composition and on wetland mycorrhizal fungi is particularly sparse. The general goal of microbial research has been to understand how microbial groups respond to the environment. There has been relatively little work done on the interactions among environmental controls over process rates, environmental constraints on microbial activities and community composition, and changes in processes at the ecosystem level. Finding ways to link process-based and biochemical or gene-based assays is becoming increasingly important as we seek a mechanistic understanding of the response of wetland ecosystems to current and future anthropogenic perturbations. We discuss the potential of new approaches, and highlight areas for further research.     

Enhanced nucleic acid capture and flow cytometry detection with peptide nucleic acid probes and tunable-surface microparticles

New methods for automated, direct nucleic acid purification and detection are required for the next generation of unattended environmental monitoring devices. In this study we investigated whether tunable-surface bead chemistry and peptide nucleic acids (PNA) could enhance the recovery and detection of intact rRNA in both test tube and automated suspension array hybridization formats. Intact rRNA was easily captured and detected on PNA-coated Lumavidin beads from 0.1 ng total RNA with a 15-min hybridization in pH 7 buffer, representing 1.7 x 10(3) cell equivalents of total RNA. DNA-conjugated beads in pH 5 hybridization buffer required an overnight hybridization to achieve a detectable signal at 0.1 ng target RNA. Standard DNA hybridization conditions (pH 7) were one order of magnitude less sensitive than the tunable-surface (pH 5) condition. The PNA-conjugated particles were 100x more sensitive than the tunable-surface DNA particles in the automated format, with a detection limit of 0.1 ng total RNA. The detection limits for total RNA on PNA-conjugated microparticles is immediately conducive to the detection and characterization of microorganisms in low-biomass environments or to the identification of rare sequences in a complex sample mixture, without using PCR.     

Comparison of microbial community assays for the assessment of stream biofilm ecology

We investigated a range of microbiological community assays performed on scrapes of biofilms formed on artificial diffusing substrates deployed in 8 streams in eastern Scotland, with a view to using them to characterize ecological response to stream water quality. The assays considered were: Multiplex Terminal Restriction Fragment Length Polymorphism or M-TRFLP (a molecular method), Phospholipid Fatty Acid or PLFA analysis (a biochemical method) and MICRORESP^™ (a physiological method) alongside TDI, diatom species, and chlorophyll a content. Four of the streams were classified as of excellent status (3-6 μg/L Soluble Reactive Phosphorus (SRP)) with respect to soluble P content under the EU Water Framework Directive and four were of borderline good/moderate or moderate status (43-577 μg/L SRP). At each site, 3 replicates of 3 solute diffusion treatments were deployed in a Latin square design. Solute diffusion treatments were: KCl (as a control solute), N and P (to investigate the effect of nutrient enrichment), or the herbicide isoproturon (as a “high impact” control, which aimed to affect biofilm growth in a way detectable by all assays). Biofilms were sampled after 4 weeks deployment in a low flow period of early summer 2006.The chlorophyll a content of biofilms after 4 weeks was 2.0 ± 0.29 mg/m² (mean ± se). Dry matter content was 16.0 ± 13.1 g/m². The M-TRFLP was successfully used for generating community profiles of cyanobacteria, algae and bacteria and was much faster than diatom identification. The PFLA and TDI were successful after an increase in the sample size, due to low counts. The MICRORESP^™ assays were often below or near detection limit. We estimated the per-sample times for the successful assays as follows: M-TRFLP: 20 min, PLFA 40 min, TDI 90 min. Using MANOVA on the first 5 principal co-ordinates, all the assays except MICRORESP^™ showed significant differences between sites, but none of the assays showed a significant effect of either initial stream trophic status (as classified by the EU Water Framework Directive using chemical standards for soluble P), or of the diffusing solute treatment. Multiple Procrustes analysis on the ordination results showed that the diatom and M-TRFLP data sets hold distinct, though as yet unexplored, information about the ecological factors affecting stream biofilms. The diatom data were subjected to principal components analysis, to identify which taxa were more strongly influenced by site variables, trophic status or treatment effects. These were Acnanthes lanceolata, A. minutissimma, Nitzchia spp., Coccineis spp. and Navicula spp. Further experimentation and data analysis on a larger number of sites, to identify specific M-TRFLP bands that could be used as indicators linked to specific taxa, are desirable. Results highlight the need for a multifactorial approach to understanding controls on stream ecology.     

Postcolumn nucleic acid intercalation for the fluorescent detection of nucleic acids using ion pair reverse phase high-performance liquid chromatography

Here we report a simple and effective procedure enabling the fluorescent detection of nucleic acids following the rapid, high-resolution separation using ion pair reverse phase chromatography. This approach uses postcolumn nucleic acid intercalation of fluorescent dyes with subsequent fluorescent detection, demonstrating more than a 1000-fold increase in sensitivity in the detection of nucleic acids when compared with traditional UV detection. Moreover, a wide range of intercalating dyes can be incorporated, including those known to disrupt the structure of the nucleic acids, thereby enabling the sensitive detection of DNA and RNA with no adverse effect on resolution of the nucleic acids during ion pair reverse phase chromatography. In addition, such approaches allow one to readily distinguish single-stranded DNA from double-stranded DNA following their separation using ion pair reverse phase high-performance liquid chromatography.     

磷脂脂肪酸分析方法在微生物生态学中的应用

磷脂脂肪酸分析方法(PLFA)是基于生物化学手段的一种微生物生态学研究新技术,它具有对细胞生理活性没有特殊的要求,对样品保存时间也要求不高等优点,由样品中所有微生物提供信息,是一种快捷、可靠的分析方法。本文介绍了PLFA在微生物生态学研究中的应用,主要包括对微生物群落生物量、群落结构和功能及其变化,指示特定微生物以及营养状况方面的研究。     

The use of gene probes in the rapid analysis of natural microbial communities

Summary Hybridization probes produced from DNA sequences have proven to be a powerful tool in the rapid and sensitive analysis of natural microbial communities. By using function-specific probes, such as those identifying genes coding for photosynthesis, the potential a microbial community has for performing a given function may be rapidly determined. Gene probes have also been used in the identification and isolation of a specific catabolic genotype in less than one-fourth the time required for the conventional culture enrichment technique. Species-specific probes constructed from portions of genes coding for ribosomal RNA have been used for the rapid identification and enumeration of bacterial species in environmental samples. The use of reassociation kinetics as a measure of community diversity and complexity is also discussed. The successful application of this technique to community analysis may reduce the time required from 1 year, for conventional analysis, to 2 weeks.     

Quantitative real-time PCR approaches for microbial community studies in wastewater treatment systems: Applications and considerations

Quantitative real-time PCR (qPCR) has been widely used in recent environmental microbial ecology studies as a tool for detecting and quantifying microorganisms of interest, which aids in better understandings of the complexity of wastewater microbial communities. Although qPCR can be used to provide more specific and accurate quantification than other molecular techniques, it does have limitations that must be considered when applying it in practice. This article reviews the principle of qPCR quantification and its applications to microbial ecology studies in various wastewater treatment environments. Here we also address several limitations of qPCR-based approaches that can affect the validity of quantification data: template nucleic acid quality, nucleic acid extraction efficiency, specificity of group-specific primers and probes, amplification of nonviable DNA, gene copy number variation, and limited number of sequences in the database. Even with such limitations, qPCR is reportedly among the best methods for quantitatively investigating environmental microbial communities. The application of qPCR is and will continue to be increasingly common in studies of wastewater treatment systems. To obtain reliable analyses, however, the limitations that have often been overlooked must be carefully considered when interpreting the results.     

Bridging the gap between micro - and macro-scale perspectives on the role of microbial communities in global change ecology

In order to understand the role microbial communities play in mediating ecosystem response to disturbances it is essential to address the methodological and conceptual gap that exists between micro- and macro-scale perspectives in ecology. While there is little doubt microorganisms play a central role in ecosystem functioning and therefore in ecosystem response to global change-induced disturbance, our ability to investigate the exact nature of that role is limited by disciplinary and methodological differences among microbial and ecosystem ecologists. In this paper we present results from an interdisciplinary graduate-level seminar class focused on this topic. Through the medium of case studies in global change ecology (soil respiration, nitrogen cycling, plant species invasion and land use/cover change) we highlight differences in our respective approach to ecology and give examples where disciplinary perspective influences our interpretation of the system under study. Finally, we suggest a model for integrating perspectives that may lead to greater interdisciplinary collaboration and enhanced conceptual and mechanistic modeling of ecosystem response to disturbance.     

Preventing disease transmission by deceased tissue donors by testing blood for viral nucleic acid

Nucleic acid testing (NAT) has reduced the risk of transmitting infectious disease through blood transfusion. Currently NAT for HIV-1 and HCV are FDA licensed and performed by nearly all blood collection facilities, but HBV NAT is performed under an investigational study protocol. Residual risk estimates indicate that NAT could potentially reduce disease transmission through transplanted tissue. However, tissue donor samples obtained post-mortem have the potential to produce an invalid NAT result due to inhibition of amplification reactions by hemolysis and other factors. The studies reported here summarize the development of protocols to allow NAT of deceased donor samples with reduced rates of invalid results. Using these protocols, inventories from two tissue centers were tested with greater than 99% of samples producing a valid test result.     

Time-resolved detection probe for homogeneous nucleic acid analyses in one-step format

We report here an extension of homogeneous assays based on fluorescence intensity and lifetime measuring on DNA hybridization. A novel decay probe that allows simple one-step nucleic acid detection with subnanomolar sensitivity, and is suitable for closed-tube applications, is introduced. The decay probe uses fluorescence resonance energy transfer (FRET) between a europium chelate donor and an organic fluorophore acceptor. The substantial change in the acceptor emission decay time on hybridization with the target sequence allows the direct separation of the hybridized and unhybridized probe populations in a time-resolved measurement. No additional sample manipulation or self-hybridization of the probes is required. The wavelength and decay time of a decay probe can be adjusted according to the selection of probe length and acceptor fluorophore, thereby making the probes applicable to multiplexed assays. Here we demonstrate the decay probe principle and decay probe-based, one-step, dual DNA assay using celiac disease-related target oligonucleotides (single-nucleotide polymorphisms [SNPs]) as model analytes. Decay probes showed specific response for their complementary DNA target and allowed good signal deconvolution based on simultaneous optical and temporal filtering. This technique potentially could be used to further increase the number of simultaneously detected DNA targets in a simple one-step homogeneous assay.     

A method for detecting distant evolutionary relationships between protein or nucleic acid sequences in the presence of deletions or insertions

Summary A method for detecting homology between two protein or nucleic acid sequences which require insertions or deletions for optimum alignment has been devised for use with a computer. Sequences are assessed for possible relationship by Monte Carlo methods involving comparisons between the alignment of the real sequences and alignments of randomly scrambled sequences of the Same composition as the real sequences, each alignment having the optimum number of gaps. As each gap is successively introduced into a comparison (real or random) a maximum score is determined from the similarity of the aligned residues. From the distribution of the maximum alignment scores of randomly scrambled sequences having the same number of gaps, the percentage of random comparisons having higher scores is determined, and the smallest of these percentage levels for each pair of sequences (real or random) indicates the optimum alignment. The fraction of the comparisons of random sequences having percentage levels at their optimum alignment below that of the real sequence comparison at its optimum estimates the probability that such an alignment might have arisen by chance. Related sequences are detected since their optimum alignment score, by virtue of a contribution from ancestral homology in addition to optimised random considerations, occupies a more extreme position in the appropriate frequency distribution of scores than do the majority of optimum scores of randomly scrambled sequences in their appropriate distributions.Application of this optimum match method of sequence comparison shows that the sensitivity of the maximum match method of Needleman and Wunsch (1970) decreases quite dramatically with sequence comparisons which require only a few gaps for a reasonable alignment, or when sequences differ greatly in length. The maximum match method as applied by Barker and Dayhoff (1972) has the additional disadvantage that deletions which have occurred in the longer of two homologous protein sequences further decrease the sensitivity of detection of relationship. The constrained match method of Sankoff and Cedergren (1973) is seen to be misleading since large increments in the alignment score from added gaps do not necessarily result in a high total alignment score required to demonstrate sequence homology.     

Microbial production and degradation of γ-aminobutyric acid (GABA) in the abalone larval settlement habitat

Abstract Short-term fluctuations in the number of culturable microorganisms and the composition of the bacterial community colonising the phyllosphere of field grown sugar beet were determined at 6 h intervals over a 42 h period. The number of culturable bacteria and Erwinia were found to fluctuate diurnally, increasing in size overnight and declining during daylight hours. In contrast, the number of Arthrobacter and yeasts were constant throughout the study, even after rainfall. Over most of the study the number of filamentous fungi and pseudomonads decreased. The short-term fluctuations in bacterial numbers were similar in magnitude to those detected over most of the previous season. No significant variation was observed in microbial numbers between samples taken from three locations within the field. Fatty acid analysis of isolated bacteria revealed the community to be similar in composition to that detected during the same period the previous year and indicated no significant short-term temporal or spatial variation. To limit the effects of diurnal fluctuations on the number of culturable bacteria detected, it is recommended that in long-term studies, samples be collected at the same time of day on each occasion.