Biomedical subjects

Knut Rudi

Publications and source records attributed to Knut Rudi.

At least 19 recordsLinked to original sources

PubMed2006

A microbial diagnostic microarray technique for the sensitive detection and identification of pathogenic bacteria in a background of nonpathogens.

A major challenge in microbial diagnostics is the parallel detection and identification of low-bundance pathogens within a complex microbial community. In addition, a high specificity providing robust, reliable identification at least at the species level is required. A microbial diagnostic microarray approach, using single nucleotide extension labeling with gyrB as the marker gene, was developed. We present a novel concept applying competitive oligonucleotide probes to improve the specificity of the assay. Our approach enabled the sensitive and specific detection of a broad range of pathogenic bacteria. The approach was tested with a set of 35 oligonucleotide probes targeting Escherichia coli, Shigella spp., Salmonella spp., Aeromonas hydrophila, Vibrio cholerae, Mycobacterium avium, Mycobacterium tuberculosis, Helicobacter pylori, Proteus mirabilis, Yersinia enterocolitica, and Campylobacter jejuni. The introduction of competitive oligonucleotides in the labeling reaction successfully suppressed cross-reaction by closely related sequences, significantly improving the performance of the assay. Environmental applicability was tested with environmental and veterinary samples harboring complex microbial communities. Detection sensitivity in the range of 0.1% has been demonstrated, far below the 5% detection limit of traditional microbial diagnostic microarrays.

Bacteria↗

PubMed2006

The gene encoding the cytosolic small subunit of ADP-glucose pyrophosphorylase in barley endosperm also encodes the major plastidial small subunit in the leaves.

The barley (Hordeum vulgare) gene Hv.AGP.S.1 produces two different transcripts encoding small subunits (SSUs) of ADP-glucose pyrophosphorylase (AGPase). It was shown previously that one of these transcripts, Hv.1a, encodes the cytosolic SSU in the endosperm. It is shown here that the other transcript produced from Hv.AGP.S.1, Hv.1b, encodes a plastidial SSU that is required for >90% of the AGPase activity in the leaves. Thus, both of the alternative transcripts encoded by Hv.AGP.S.1 are physiologically relevant: One is important for starch synthesis in the endosperm and the other for starch synthesis in the leaves. Although the Hv.1b transcript is abundant in embryos and present in endosperm, there is no evidence that a protein is produced from this transcript in these organs. This suggests that some, as yet unidentified, post-transcriptional control mechanism prevents the accumulation of the protein encoded by Hv.1b in embryos and endosperm but not in leaves. There is one other known gene in barley, Hv.AGP.S.2, encoding a SSU of AGPase. This gene has been shown to be responsible for the plastidial SSU in the endosperm. It is shown here that Hv.AGP.S.2 probably also makes some contribution to the SSU of AGPase in the leaves and may be responsible for most or all of the plastidial SSU in a range of non-photosynthetic plant organs including the embryo.

Glucose-1-Phosphate Adenylyltransferase↗

PubMed2006

Comparison of chicken gut colonisation by the pathogens Campylobacter jejuni and Clostridium perfringens by real-time quantitative PCR.

We compared the colonisation of the chicken gut by the two important pathogens Campylobacter jejuni (frequent food-borne pathogen) and alpha-toxin gene containing Clostridium perfringens (causative agent of necrotic enteritis in chickens) using a new high-throughput automated DNA purification method for microbial biodiversity analyses. The method gave high reproducibility (standard deviation of 1.1 C(T)-values for a universal 16S rDNA real-time PCR), and inhibition was observed in only 0.9% of the individual DNA purifications (n = 753). We analysed 253 randomly collected chicken caecal samples (sampled in 2001 and 2003) from Norwegian chicken flocks by real-time quantitative PCR. Our results showed positive correlation (P = 0.009) in chicken caecal colonisation between C. jejuni and Cl. perfringens. We also found that there was a significant underrepresentation (P = 0.008) of chickens containing high levels of Cl. perfringens and low levels of C. jejuni. This indicates a possible interaction between these bacteria. Potential interaction between pathogens and other bacteria in the gut will certainly be important research fields in the future. As demonstrated here, the development of new tools for high-throughput analyses will be of key importance for these studies.

Animals↗

PubMed2006

Direct haplotype-specific DNA sequencing.

Determining haplotype-specific DNA sequence information is very important in a wide range of research fields. However, no simple and robust approaches are currently available for determining haplotype-specific sequence information. We have addressed this problem by developing a very simple and robust haplotype-specific sequencing approach. We utilise the fact that DNA sequencing polymerases are sensitive to 3'end mismatches in the sequencing primer. By using two sequencing primers with 3'end corresponding to the two alleles in a given SNP locus, we are able to obtain allele-specific DNA sequences from both alleles. We evaluated this direct haplotype-specific approach by determining haplotypes within the intron 2 sequence of the fructan-6-fructosyltransferase (6-ft) gene in Lolium perenne L. We obtained reliable haplotype-specific sequences for all primers and genotypes evaluated. We conclude that the haplotype-specific sequencing is robust, and that the approach has a potentially very wide application range for any diploid organism.

Base Sequence↗

PubMed2006

Alignment-independent bilinear multivariate modelling (AIBIMM) for global analyses of 16S rRNA gene phylogeny.

Alignment-independent phylogenetic methods have interesting properties for global phylogenetic reconstructions, particularly with respect to speed and accuracy. Here, we present a novel multimer-based alignment-independent bilinear mathematical modelling (AIBIMM) approach for global 16S rRNA gene phylogenetic analyses. In AIBIMM, jackknife cross-validated principal component analyses (PCA) are used to explain the variance in nucleotide n-mer frequency data. We compared AIBIMM with alignment-based distance, maximum-parsimony and maximum-likelihood phylogenetic methods, analysing taxa belonging to the Proteobacteria (n=82), Actinobacteria (n=30) and Archaea (n=7). These analyses indicated an attraction between the Actinobacteria and Archaea for the traditional methods, with the two taxa Acidimicrobium and Rubrobacter at the root of the tree. AIBIMM, on the other hand, showed that the Actinobacteria was tightly clustered, with Acidimicrobium and Rubrobacter within a distinct subgroup of the Actinobacteria. The application of AIBIMM was further evaluated, analysing full-length 16S rRNA gene sequences for 2818 taxa representing the prokaryotic domains. We obtained a highly structured description of the prokaryote diversity. Sample-to-model (Si) distances were also determined for taxa included in our work. We determined Si distances for models of the six major subgroups of taxa detected in the global analyses, in addition to nested subgroups within the Alphaproteobacteria. The Si-distance evaluation showed a very good separation of the taxa within the models from those outside. We conclude that AIBIMM represents a novel phylogenetic framework suitable for accommodating the current exponential growth of 16S rRNA gene sequences in the public domain.

Archaea↗

PubMed2006

Use of DNA quantification to measure growth and autolysis of Lactococcus and Propionibacterium spp. in mixed populations.

Autolysis is self-degradation of the bacterial cell wall that results in the release of enzymes and DNA. Autolysis of starter bacteria, such as lactococci and propionibacteria, is essential for cheese ripening, but our understanding of this important process is limited. This is mainly because the current tools for measuring autolysis cannot readily be used for analysis of bacteria in mixed populations. We have now addressed this problem by species-specific detection and quantification of free DNA released during autolysis. This was done by use of 16S rRNA gene single-nucleotide extension probes in combination with competitive PCR. We analyzed pure and mixed populations of Lactococcus lactis subsp. lactis and three different species of Propionibacterium. Results showed that L. lactis subsp. lactis INF L2 autolyzed first, followed by Propionibacterium acidipropionici ATCC 4965, Propionibacterium freudenreichii ISU P59, and then Propionibacterium jensenii INF P303. We also investigated the autolytic effect of rennet (commonly used in cheese production). We found that the effect was highly strain specific, with all the strains responding differently. Finally, autolysis of L. lactis subsp. lactis INF L2 and P. freudenreichii ISU P59 was analyzed in a liquid cheese model. Autolysis was detected later in this cheese model system than in broth media. A challenge with DNA, however, is DNA degradation. We addressed this challenge by using a DNA degradation marker. We obtained a good correlation between the degradation of the marker and the target in a model experiment. We conclude that our DNA approach will be a valuable tool for use in future analyses and for understanding autolysis in mixed bacterial populations.

Autolysis↗

PubMed2006

Quencher extension for single nucleotide polymorphism quantification in bacterial typing and microbial community analyses.

Quencher extension is a novel single-step closed tube real-time method to quantify single nucleotide polymorphisms (SNPs) in combination with primer extension. A probe with a 5'-reporter is single-base extended with a dideoxy nucleotide containing a quencher if the target SNP allele is present. The reaction is measured from the quenching (reduced fluorescence) of the reporter. The relative amount of a specific SNP allele is determined from the nucleotide incorporation rate in a thermocycling reaction. The quencher extension protocol presented was developed for SNP allele quantification in Listeria monocytogenes and for microbial community analyses.

Bacterial Typing Techniques↗

PubMed2006

Overview of DNA purification for nucleic acid-based diagnostics from environmental and clinical samples.

Direct deoxyribonucleic acid (DNA)-based detection methods are crucial for future environmental monitoring and clinical diagnosis. In this chapter, we provide an overview of the various sample preparation approaches for bacteria for direct analyses (i.e., without culturing) in environmental and clinical samples. The issues of sampling, sample preservation, separation of the microorganisms from the environmental or clinical matrix, and DNA purification are covered. This chapter will focus on the advantages and the disadvantages of the methods available.

Animals↗

PubMed2006

Multiplex real-time single nucleotide polymorphism detection and quantification by quencher extension.

Multiplex quencher extension (multiplex-QEXT) is a novel closed tube single-step method for detection and quantification of several single nucleotide polymorphisms (SNPs) simultaneously. The principle of multiplex-QEXT is that 5' reporter-labeled probes are 3' single-base-extended with TAMRA dideoxy nucleotides if the respective SNP alleles are present. TAMRA can serve as either an energy acceptor (quencher-based detection) or donor [fluorescence resonance energy transfer (FRET)-based detection] for a wide range of different reporter fluorochromes. The extension can therefore be recorded by the respective reporter fluorescence change. We evaluated multiplex-QEXT, analyzing four different SNP loci in the Listeria monocytogenes inlA gene. Probes labeled with the reporters 6-FAM, TET, VIC, and Alexa Fluor 594 were used. Responses for the fluorochromes 6-FAM, TET, and VIC were detected by quenching (decreased fluorescence), while the response for Alexa Fluor 594 was detected by FRET (increased fluorescence). We evaluated the SNP-allele pattern in 252 different L. monocytogenes strains. Multiplex-QEXT gave a good resolution, detecting seven major and five minor groups of L. monocytogenes. Comparison with serotyping showed that multiplex-QEXT gave better resolution. We also evaluated the quantitative aspects of multiplex-QEXT. Quantitative information was obtained for all the fluorochrome/probe combinations in the sample pools. The detection limits for 6-FAM, TET and Alexa Fluor 594 were the presence of the 10% target SNP alleles (P < 0.05), while the detection limit for VIC was the presence of the 5% target SNP alleles (P < 0.05). Currently, overlap in the fluorescence emission spectra is the limiting factor for the multiplexing potential of QEXT. With the emergence of new fluorochromes with narrow emission spectra, we foresee great potential for increasing the multiplex level in the future.

Chromosome Mapping↗

PubMed2005

Analysis of covariance patterns in gene expression data and FT-IR spectra.

The aim of this study was to detect and interpret correlation patterns in several large data matrices from the same biological system using Partial Least Squares Regression (PLSR) in order to get information on the system under investigation. To do this, DNA microarray data and Fourier Transform Infrared (FT-IR) spectra from a designed study where Campylobacter jejuni was exposed to environmental stress conditions, were used. The experimental design included variation in atmospheric conditions, temperature and time. PLSR was first used to analyse each of the two data types separately in order to explore the effect of the experimental parameters on the data. The results showed that both the gene expression and FT-IR spectra were affected by the variations in atmosphere, temperature and time, but that the effect was different for the two types of data. When the DNA microarray data and FT-IR spectra were linked together by PLSR, covariation due to temperature was seen. Both specific genes and ranges in the FT-IR spectra that were connected to the variation in temperature were detected. Some of these are possibly connected to properties of the cell wall of the bacteria. The results in this study show the potential of PLSR for investigation of covariance structures in biological data. By doing this, valuable information about the biological system can be detected and interpreted. It was also shown that the use of FT-IR spectroscopy provided important information about the stress responses in the bacteria, information that was not detected from the DNA microarray data.

Campylobacter jejuni↗

PubMed2005

Differentiation of important and closely related cereal plant species (Poaceae) in food by hybridization to an oligonucleotide array.

We report the development of an oligonucleotide microarray for the simultaneous detection of six important cereal food plant species from the Poaceae based on the chloroplast trnL intron sequence. We used universal primers to amplify the trnL intron from wheat, rye, barley, oat, rice, and maize, followed by a cyclic labeling of oligonucleotides probes and subsequent hybridization to an oligonucleotide microarray. In single taxon analyses, positive signals were produced with a high signal-to-noise ratio. The assay also enabled the analysis of mixed samples. The results obtained for real food samples were in agreement with the ingredient labels, but positive results for grains not declared on the ingredients list were observed in three out of 10 samples, which indicates that the final products and/or the declared ingredients were probably botanically impure or contaminated. The combination of the sensitivity of a universal polymerase chain reaction with the specificity of the labeling reaction allows this protocol to be applied in routine analyses of food samples, as demonstrated by successful analysis of processed composite food products.

DNA, Plant↗

PubMed2005

Detection and quantification of Shiga toxin-encoding genes in sheep faeces by real-time PCR.

Sheep faeces may be an important source of Shiga toxin (Stx)-producing Escherichia coli. We have, therefore, established and evaluated a real-time 5'-nuclease PCR assay to quantify the stx(1) and stx(2) genes in sheep faeces. The detection limit of our assay for both stx(1) and stx(2) in spiked samples corresponded to 10(2)--10(3)CFU/g, which is lower than for other assays for measuring these genes in faecal samples. Quantification values for our assay ranged from 10(2) to 10(7)CFU/g faeces. The assay was evaluated on native, un-spiked faeces. All sheep tested (n=7) shed stx(1), and the quantitative results corresponded to the gene copies in 10(3)--10(4)CFU/g. The level of stx(2), however, was below the quantitative detection limit in all the samples analyzed. This quantitative stx(1) and stx(2) assay may be important in assessing whether sheep harbouring Shiga toxin-producing bacteria represent a potential hazard to human health.

Animals↗

PubMed2005

16S rDNA analyses of the cyanobacterial microbiota through the water-column in a boreal lake with a metalimnic Planktothrix population.

The Planktothrix population in Lake Steinsfjord has attracted particular attention, due to the potential development of toxic blooms. This population is special in the sense that mass developments of Planktothrix occur in the metalimnion. We investigated the distribution of Planktothrix, as well as other cyanobacteria, through the water-column during a Planktothrix mass development at 10-16 m depth. The analyses were done by chlorophyll measurements, microscopy, and by a recently developed 16S rDNA array-based method. These analyses showed that Planktothrix dominated the cyanobacterial community at 11 m, while cyanobacteria belonging to the order Nostocales were predominant at 4 m. The combination of analytical methods presented in this work provides a powerful tool to analyze cyanobacterial communities. We have developed a concept that enables both relative (16S rDNA array analyses) and absolute quantification (chlorophyll a measurements) of cyanobacteria through water-columns. Such approaches will be important in better understanding cyanobacterial microbiota and bloom dynamics.

Anabaena↗

PubMed2005

Use of ethidium monoazide and PCR in combination for quantification of viable and dead cells in complex samples.

The distinction between viable and dead cells is a major issue in many aspects of biological research. The current technologies for determining viable versus dead cells cannot readily be used for quantitative differentiation of specific cells in mixed populations. This is a serious limitation. We have solved this problem by developing a new concept with the viable/dead stain ethidium monoazide (EMA) in combination with real-time PCR (EMA-PCR). A dynamic range of approximately 4 log(10) was obtained for the EMA-PCR viable/dead assay. Viable/dead differentiation is obtained by covalent binding of EMA to DNA in dead cells by photoactivation. EMA penetrates only dead cells with compromised membrane/cell wall systems. DNA covalently bound to EMA cannot be PCR amplified. Thus, only DNA from viable cells can be detected. We evaluated EMA-PCR with the major food-borne bacterium Campylobacter jejuni as an example. Traditional diagnosis of this bacterium is very difficult due to its specific growth requirements and because it may enter a state where it is viable but not cultivable. The conditions analyzed included detection in mixed and natural samples, survival in food, and survival after disinfection or antibiotic treatment. We obtained reliable viable/dead quantifications for all conditions tested. Comparison with standard fluorescence-based viable/dead techniques showed that the EMA-PCR has a broader dynamic range and enables quantification in mixed and complex samples. In conclusion, EMA-PCR offers a novel real-time PCR method for quantitative distinction between viable and dead cells with potentially very wide application.

Affinity Labels↗

PubMed2005

Explorative multifactor approach for investigating global survival mechanisms of Campylobacter jejuni under environmental conditions.

Explorative approaches such as DNA microarray experiments are becoming increasingly important in microbial research. Despite these major technical advancements, approaches to study multifactor experiments are still lacking. We have addressed this problem by using rotation testing and a novel multivariate analysis of variance (MANOVA) approach (50-50 MANOVA) to investigate interacting experimental factors in a complex experimental design. Furthermore, a new rotation testing based method was introduced to calculate false-discovery rates for each response. This novel analytical concept was used to investigate global survival mechanisms in the environment of the major food-borne pathogen C. jejuni. We simulated nongrowth environmental conditions by investigating combinations of the factors temperature (5 and 25 degrees C) and oxygen tension (anaerobic, microaerobic, and aerobic). Data were generated with DNA microarrays for information about gene expression patterns and Fourier transform infrared (FT-IR) spectroscopy to study global macromolecular changes in the cell. Microarray analyses showed that most genes were either unchanged or down regulated compared to the reference (day 0) for the conditions tested and that the 25 degrees C anaerobic condition gave the most distinct expression pattern with the fewest genes expressed. The few up-regulated genes were generally stress related and/or related to the cell envelope. We found, using FT-IR spectroscopy, that the amount of polysaccharides and oligosaccharides increased under the nongrowth survival conditions. Potential mechanisms for survival could be to down regulate most functions to save energy and to produce polysaccharides and oligosaccharides for protection against harsh environments. Basic knowledge about the survival mechanisms is of fundamental importance in preventing transmission of this bacterium through the food chain.

Bacterial Proteins↗

PubMed2005

Explorative screening of complex microbial communities by real-time 16S rDNA restriction fragment melting curve analyses.

We have developed restriction fragment melting curve analyses (RFMCA), which is a novel method for the real-time analysis of microbial communities. The major advantage of RFMCA compared to, for example, terminal restriction fragment length polymorphism (T-RFLP) or temperature/denaturing gradient gel electrophoresis (TGGE/DGGE) is that the physical separation of DNA fragments is avoided. The RFMCA detection is done by melting point analyses in closed tube systems, which enables high-throughput applications. The robustness of RFMCA was demonstrated by analyzing both mixtures of known samples and the microbial communities in the cecal content of poultry. Our conclusions are that RFMCA is robust, gives a relatively high resolution, and has the potential for high-throughput explorative screenings of microbial communities and large clone libraries.

Bacteria↗

PubMed2004

Direct real-time PCR quantification of Campylobacter jejuni in chicken fecal and cecal samples by integrated cell concentration and DNA purification.

Campylobacter jejuni is a major cause of diarrheal disease and food-borne gastroenteritis. The main reservoir of C. jejuni in poultry is the cecum, with an estimated content of 6 to 8 log10 CFU/g. If a flock is infected with C. jejuni, the majority of the birds in that flock will harbor the bacterium. Diagnostics at the flock level could thus be an important control point. The aim of the work presented here was to develop a complete quantitative PCR-based detection assay for C. jejuni obtained directly from cecal contents and fecal samples. We applied an approach in which the same paramagnetic beads were used both for cell isolation and for DNA purification. This integrated approach enabled both fully automated and quantitative sample preparation and a DNA extraction method. We developed a complete quantitative diagnostic assay through the combination of the sample preparation approach and real-time 5'-nuclease PCR. The assay was evaluated both by spiking the samples with C. jejuni and through the detection of C. jejuni in naturally colonized chickens. Detection limits between 2 and 25 CFU per PCR and a quantitative range of >4 log10 were obtained for spiked fecal and cecal samples. Thirty-one different poultry flocks were screened for naturally colonized chickens. A total of 262 (204 fecal and 58 cecal) samples were analyzed. Nineteen of the flocks were Campylobacter positive, whereas 12 were negative. Two of the flocks contained Campylobacter species other than C. jejuni. There was a large difference in the C. jejuni content, ranging from 4 to 8 log10 CFU/g of fecal or cecal material, for the different flocks tested. Some issues that have not yet promoted much attention are the prequantitative differences in the ability of C. jejuni to colonize poultry and the importance of these differences for causing human disease through food contamination. Understanding the colonization kinetics in poultry is therefore of great importance for controlling human infections by this bacterium.

Animals↗

PubMed2004

Explorative multivariate analyses of 16S rRNA gene data from microbial communities in modified-atmosphere-packed salmon and coalfish.

Modified-atmosphere packaging (MAP) of foods in combination with low-temperature storage extends product shelf life by limiting microbial growth. We investigated the microbial biodiversity of MAP salmon and coalfish by using an explorative approach and analyzing both the total amounts of bacteria and the microbial group composition (both aerobic and anaerobic bacteria). Real-time PCR analyses revealed a surprisingly large difference in the microbial loads for the different fish samples. The microbial composition was determined by examining partial 16S rRNA gene sequences from 180 bacterial isolates, as well as by performing terminal restriction fragment length polymorphism analysis and cloning 92 sequences from PCR products of DNA directly retrieved from the fish matrix. Twenty different bacterial groups were identified. Partial least-squares (PLS) regression was used to relate the major groups of bacteria identified to the fish matrix and storage time. A strong association of coalfish with Photobacterium phosphoreum was observed. Brochothrix spp. and Carnobacterium spp., on the other hand, were associated with salmon. These bacteria dominated the fish matrixes after a storage period. Twelve Carnobacterium isolates were identified as either Carnobacterium piscicola (five isolates) or Carnobacterium divergens (seven isolates), while the eight Brochothrix isolates were identified as Brochothrix thermosphacta by full-length 16S rRNA gene sequencing. Principal-component analyses and PLS analysis of the growth characteristics (with 49 different substrates) showed that C. piscicola had distinct substrate requirements, while the requirements of B. thermosphacta and C. piscicola were quite divergent. In conclusion, our explorative multivariate approach gave a picture of the total microbial biodiversity in MAP fish that was more comprehensive than the picture that could be obtained previously. Such information is crucial in controlled food production when, for example, the hazard analysis of critical control points principle is used.

Animals↗