Identification of hepatotoxin-producing cyanobacteria by DNA-chip

We developed a new tool to detect and identify hepatotoxin-producing cyanobacteria of the genera Anabaena , Microcystis , Planktothrix , Nostoc and Nodularia . Genus-specific probe pairs were designed for the detection of the microcystin ( mcyE ) and nodularin synthetase genes ( ndaF ) of these five genera to be used with a DNA-chip. The method couples a ligation detection reaction, in which the polymerase chain reaction (PCR)-amplified mcyE / ndaF genes are recognized by the probe pairs, with a hybridization on a universal microarray. All the probe pairs specifically detected the corresponding mcyE / ndaF gene sequences when DNA from the microcystin- or nodularin-producing cyanobacterial strains were used as template in the PCR. Furthermore, the strict specificity of detection enabled identification of the potential hepatotoxin producers. Detection of the genes was very sensitive; only 1–5 fmol of the PCR product were needed to produce signal intensities that exceeded the set background threshold level. The genus-specific probe pairs also reliably detected potential microcystin producers in DNA extracted from six lake and four brackish water samples. In lake samples, the same microcystin producers were identified with quantitative real-time PCR analysis. The specificity, sensitivity and ability of the DNA-chip in simultaneously detecting all the main hepatotoxin producers make this method suitable for high-throughput analysis and monitoring of environmental samples.     

Quantitative detection of methanotrophs in soil by novel pmoA-targeted real-time PCR assays

Methane oxidation in soils is mostly accomplished by methanotrophic bacteria. Little is known about the abundance of methanotrophs in soils, since quantification by cultivation and microscopic techniques is cumbersome. Comparison of 16S ribosomal DNA and pmoA (alpha subunit of the particulate methane monooxygenase) phylogenetic trees showed good correlation and revealed five distinct groups of methanotrophs within the alpha and gamma subclasses of Proteobacteria: the Methylococcus group, the Methylobacter/Methylosarcina group, the Methylosinus group, the Methylocapsa group, and the forest clones group (a cluster of pmoA sequences retrieved from forest soils). We developed quantitative real-time PCR assays with SybrGreen for each of these five groups and for all methanotrophic bacteria by targeting the pmoA gene. Detection limits were between 10(1) and 10(2) target molecules per reaction for all assays. Real-time PCR analysis of soil samples spiked with cells of Methylococcus capsulatus, Methylomicrobium album, and Methylosinus trichosporium recovered almost all the added bacteria. Only the Methylosinus-specific assay recovered only 20% of added cells, possibly due to a lower lysis efficiency of type II methanotrophs. Analysis of the methanotrophic community structure in a flooded rice field soil showed (5.0 +/- 1.4) x 10(6) pmoA molecules g(-1) for all methanotrophs. The Methylosinus group was predominant (2.7 x 10(6) +/- 1.1 x 10(6) target molecules g(-1)). In addition, bacteria of the Methylobacter/Methylosarcina group were abundant (2.0 x 10(6) +/- 0.9 x 10(6) target molecules g of soil(-1)). On the other hand, pmoA affiliated with the forest clones and the Methylocapsa group was below the detection limit of 1.9 x 10(4) target molecules g of soil(-1). Our results showed that pmoA-targeted real-time PCR allowed fast and sensitive quantification of the five major groups of methanotrophs in soil. This approach will thus be useful for quantitative analysis of the community structure of methanotrophs in nature.     

Development and evaluation of functional gene arrays for detection of selected genes in the environment.

To determine the potential of DNA array technology for assessing functional gene diversity and distribution, a prototype microarray was constructed with genes involved in nitrogen cycling: nitrite reductase (nirS and nirK) genes, ammonia mono-oxygenase (amoA) genes, and methane mono-oxygenase (pmoA) genes from pure cultures and those cloned from marine sediments. In experiments using glass slide microarrays, genes possessing less than 80 to 85% sequence identity were differentiated under hybridization conditions of high stringency (65 degrees C). The detection limit for nirS genes was approximately 1 ng of pure genomic DNA and 25 ng of soil community DNA using our optimized protocol. A linear quantitative relationship (r(2) = 0.89 to 0.94) was observed between signal intensity and target DNA concentration over a range of 1 to 100 ng for genomic DNA (or genomic DNA equivalent) from both pure cultures and mixed communities. However, the quantitative capacity of microarrays for measuring the relative abundance of targeted genes in complex environmental samples is less clear due to divergent target sequences. Sequence divergence and probe length affected hybridization signal intensity within a certain range of sequence identity and size, respectively. This prototype functional gene array did reveal differences in the apparent distribution of nir and amoA and pmoA gene families in sediment and soil samples. Our results indicate that glass-based microarray hybridization has potential as a tool for revealing functional gene composition in natural microbial communities; however, more work is needed to improve sensitivity and quantitation and to understand the associated issue of specificity.     

16S rRNA gene-based oligonucleotide microarray for environmental monitoring of the betaproteobacterial order "Rhodocyclales"

For simultaneous identification of members of the betaproteobacterial order "Rhodocyclales" in environmental samples, a 16S rRNA gene-targeted oligonucleotide microarray (RHC-PhyloChip) consisting of 79 probes was developed. Probe design was based on phylogenetic analysis of available 16S rRNA sequences from all cultured and as yet uncultured members of the "Rhodocyclales." The multiple nested probe set was evaluated for microarray hybridization with 16S rRNA gene PCR amplicons from 29 reference organisms. Subsequently, the RHC-PhyloChip was successfully used for cultivation-independent "Rhodocyclales" diversity analysis in activated sludge from an industrial wastewater treatment plant. The implementation of a newly designed "Rhodocyclales"-selective PCR amplification system prior to microarray hybridization greatly enhanced the sensitivity of the RHC-PhyloChip and thus enabled the detection of "Rhodocyclales" populations with relative abundances of less than 1% of all bacteria (as determined by fluorescence in situ hybridization) in the activated sludge. The presence of as yet uncultured Zoogloea-, Ferribacterium/Dechloromonas-, and Sterolibacterium-related bacteria in the industrial activated sludge, as indicated by the RHC-PhyloChip analysis, was confirmed by retrieval of their 16S rRNA gene sequences and subsequent phylogenetic analysis, demonstrating the suitability of the RHC-PhyloChip as a novel monitoring tool for environmental microbiology.     

Detection of bacteria in environmental samples by direct PCR without DNA extraction

Cultured cells and environmental samples were used directly in PCRs without the isolation of DNA. Serial dilution was used to eliminate the inhibitory effect of materials in natural samples. Primers specific for pmoA, which encodes a subunit of the particulate methane monooxygenase, were used to detect and quantify methanotrophic bacteria by direct most probable number PCR. Phototrophic bacteria were detected in environmental samples by direct PCR with primers specific for pufM, and members of the bacterial domain were detected with primers for 16S rDNA. Direct PCR provides a rapid, simple, and sensitive methodfor detecting and quantifying bacteria in environmental samples. Detection of methanotrophic bacteria can be applied to monitoring bioremediation.     

Evaluation of 50-mer oligonucleotide arrays for detecting microbial populations in environmental samples

Microarrays fabricated with oligonucleotides longer than 40 bp have been introduced for monitoring whole genome expression but have not been evaluated with environmental samples. To determine the potential of this type of microarray for environmental studies, a 50-mer oligonucleotide microarray was constructed using 763 genes involved in nitrogen cycling: nitrite reductase (nirS and nirK), ammonia monooxygenase (amoA), nitrogenase (nifH), methane monooxygenase (pmoA), and sulfite reductase (dsrAB) from public databases and our own sequence collections. The comparison of the sequences from pure cultures indicated that the developed microarrays could provide species-level resolution for analyzing microorganisms involved in nitrification, denitrification, nitrogen fixation, methane oxidation, and sulfite reduction. Sensitivity tests suggested that the 50-mer oligonucleotide arrays could detect dominant populations in the environments, although sensitivity still needs to be improved. A significant quantitative relationship was also obtained with a mixture of DNAs from eight different bacteria. These results suggest that the 50-mer oligonucleotide array can be used as a specific and quantitative parallel tool for the detection of microbial populations in environmental samples.     

基因芯片技术检测3种食源性致病微生物方法的建立

建立一种运用多重PCR和基因芯片技术检测和鉴定志贺氏菌、沙门氏菌、大肠杆菌O157的方法, 为3种食源性致病菌的快速检测和鉴定提供了准确、快速、灵敏的方法。分别选取编码志贺氏菌侵袭性质粒抗原H基因(ipaH)、沙门氏菌肠毒素(stn)基因和致泻性大肠杆菌O157志贺样毒素(slt)基因设计引物和探针, 进行三重PCR扩增, 产物与含特异性探针的芯片杂交。对7种细菌共26株菌进行芯片检测, 仅3种菌得到阳性扩增结果, 证明此方法具有很高的特异性。3种致病菌基因组DNA和细菌纯培养物的检测灵敏度约为8 pg。对模拟食品样品进行直接检测, 结果与常规细菌学培养结果一致, 检测限为50 CFU/mL。结果表明：所建立的基因芯片检测方法特异性好, 灵敏度高, 为食源性致病菌的检测提供了理想手段, 有良好的应用前景。     

Development and validation of a prototype 16S rRNA-based taxonomic microarray for Alphaproteobacteria

The microarray approach has been proposed for high throughput analysis of the microbial community by providing snapshots of the microbial diversity under different environmental conditions. For this purpose, a prototype of a 16S rRNA-based taxonomic microarray was developed and evaluated for assessing bacterial community diversity. The prototype microarray is composed of 122 probes that target bacteria at various taxonomic levels from phyla to species (mostly Alphaproteobacteria). The prototype microarray was first validated using bacteria in pure culture. Differences in the sequences of probes and potential target DNAs were quantified as weighted mismatches (WMM) in order to evaluate hybridization reliability. As a general feature, probes having a WMM > 2 with target DNA displayed only 2.8% false positives. The prototype microarray was subsequently tested with an environmental sample, which consisted of an Agrobacterium-related polymerase chain reaction amplicon from a maize rhizosphere bacterial community. Microarray results were compared to results obtained by cloning-sequencing with the same DNA. Microarray analysis enabled the detection of all 16S rRNA gene sequences found by cloning-sequencing. Sequences representing only 1.7% of the clone library were detected. In conclusion, this prototype 16S rRNA-based taxonomic microarray appears to be a promising tool for the analysis of Alphaproteobacteria in complex ecosystems.     

Use of PCR methods for detection of selected genes of Mycoplasma pneumoniae

The aim of this study was standardization of PCR for the detection of gene encoding the P1 protein, 16S rRNA and elongation factor Tu of M. pneumoniae. A total of 13 strains of M. pneumoniae, 28 strains of other mycoplasmas and 14 strains of different bacteria causing respiratory tract infections were tested. In all of tested M. pneumoniae strains the presence of the sought genes was confirmed. The specificity of DNA was confirmed by the restriction endonuclease analysis with enzymes Hind III, Alu I and Hha I. With none of primers specific for the M. pneumoniae genes amplification of DNA from other bacteria was noted. The PCR method with the selected primers allowed to detect from 10(2) to 10(4) cfu M. pneumoniae/ml suspended in broth. The obtained results indicate that the PCR method can be used for detection of M. pneumoniae genes. A very good sensitivity and specificity predestine++ PCR as a potential quick diagnostic method for identification of M. pneumoniae in clinical specimens.     

Real-time PCR method for detection of pathogenic Yersinia enterocolitica in food

The current methods for the detection of pathogenic Yersinia enterocolitica bacteria in food are time consuming and inefficient. Therefore, we have developed and evaluated in-house a TaqMan probe-based real-time PCR method for the detection of this pathogen. The complete method comprises overnight enrichment, DNA extraction, and real-time PCR amplification. Also included in the method is an internal amplification control. The selected primer-probe set was designed to use a 163-bp amplicon from the chromosomally located gene ail (attachment and invasion locus). The selectivity of the PCR method was tested with a diverse range (n = 152) of related and unrelated strains, and no false-negative or false-positive PCR results were obtained. The sensitivity of the PCR amplification was 85 fg purified genomic DNA, equivalent to 10 cells per PCR tube. Following the enrichment of 10 g of various food samples (milk, minced beef, cold-smoked sausage, fish, and carrots), the sensitivity ranged from 0.5 to 55 CFU Y. enterocolitica. Good precision, robustness, and efficiency of the PCR amplification were also established. In addition, the method was tested on naturally contaminated food; in all, 18 out of 125 samples were positive for the ail gene. Since no conventional culture method could be used as a reference method, the PCR products amplified from these samples were positively verified by using conventional PCR and sequencing of the amplicons. A rapid and specific real-time PCR method for the detection of pathogenic Y. enterocolitica bacteria in food, as presented here, provides a superior alternative to the currently available detection methods and makes it possible to identify the foods at risk for Y. enterocolitica contamination.     

Optimization of diagnostic microarray for application in analysing landfill methanotroph communities under different plant covers

Landfill sites are responsible for 6-12% of global methane emission. Methanotrophs play a very important role in decreasing landfill site methane emissions. We investigated the methane oxidation capacity and methanotroph diversity in lysimeters simulating landfill sites with different plant vegetations. Methane oxidation rates were 35 g methane m-2 day-1 or higher for planted lysimeters and 18 g methane m-2 day-1 or less for bare soil controls. Best methane oxidation, as displayed by gas depth profiles, was found under a vegetation of grass and alfalfa. Methanotroph communities were analysed at high throughput and resolution using a microbial diagnostic microarray targeting the particulate methane monooxygenase (pmoA) gene of methanotrophs and functionally related bacteria. Members of the genera Methylocystis and Methylocaldum were found to be the dominant members in landfill site simulating lysimeters. Soil bacterial communities in biogas free control lysimeters, which were less abundant in methanotrophs, were dominated by Methylocaldum. Type Ia methanotrophs were found only in the top layers of bare soil lysimeters with relatively high oxygen and low methane concentrations. A competetive advantage of type II methanotrophs over type Ia methanotrophs was indicated under all plant covers investigated. Analysis of average and individual results from parallel samples was used to identify general trends and variations in methanotroph community structures in relation to depth, methane supply and plant cover. The applicability of the technology for the detection of environmental perturbations was proven by an erroneous result, where an unexpected community composition detected with the microarray indicated a potential gas leakage in the lysimeter being investigated.     

Rapid detection of columnaris disease in channel catfish (Ictalurus punctatus) with a new species-specific 16-S rRNA gene-based PCR primer for Flavobacterium columnare

A 16-S rRNA gene from the chromosomal DNA of the fish-pathogenic bacterium Flavobacterium columnare (formerly Flexibacter columnaris), strain ARS-I, was cloned, sequenced and used to design a polymerase chain reaction (PCR) primer set. The primer set amplified a specific 1193-bp DNA fragment from F. columnare strains but not from related bacteria, F. psychrophilum, F. aquatile, F. branchiophilum, or other bacterial pathogens of fish, Flexibacter maritimus, Cytophaga johnsonae, Edwardsiella ictaluri, E. tarda, Aeromonas hydrophila, and Streptococcus iniae or from the non-fish pathogen Escherichia coli. The PCR reaction conditions were optimized to permit detection of the organism from agar plates, broth culture, frozen samples, dead fish tissue, and live fish in less than 5 h (8 h, if the more sensitive nested PCR is used). DNA was extracted by a boiled-extraction method or by commercial column purification. The PCR product was detected at DNA concentrations below 0.1 ng and from as few as 100 bacterial cells. Nested PCR using universal eubacterial primers increased the sensitivity five-fold, allowing detection of F. columnare strains at DNA concentrations below 0.05 ng and from as few as 10 bacterial cells in apparently healthy, asymptomatic fish. The efficiency of this primer set was compared to the 16-S rRNA gene primer sets of Toyama et al. [Fish Pathol. 29 (1994) 271.] and that of Bader and Shotts [J. Aquat. Anim. Health 10 (1998) 311.]. The new primer set is as good or better than the previously published primer sets for detecting F. columnare in all samples and under all conditions tested.     

Detection and identification of Vibrio parahaemolyticus by multiplex PCR and DNA-DNA hybridization on a microarray

In this paper,we developed a rapid and accurate method for the detection of Vibrio parahaemolyticus strains,using multiplex PCR and DNA-DNA hybridization.Multiplex PCR was used to simultaneously amplify three diagnostic genes(tlh,tdh and fia)that serve as molecular markers of V.parahaemolyticus.Biotinylated PCR products were hybridized to primers immobilized on a microarray,and detected by chemiluminesce with avidin-conjugated alkaline phosphatase.With this method,forty-five samples were tested.Eight known virulent strains (tlh+/tdh+/fia+)and four known avirulent strains(tlh+/tdh-/fla+)of the V.parahaemolyttcus were successtuny aetectea,ana no non-spectnc hybridization and cross-hybridization reaction were found from fifteen closely-related strains(tin-/tdh-/fta+)or the Vibrio spp.In addition,all the other eighteen strains of non-Vibrio bacteria(tlh-/tdh-/fla-)gave negative results.The DNA microarray successfully distinguished V.parahaemolyticus from other Vibrio spp.The results demonstrated that this was an efficient and robust method for identifying virulent strains of V.parahaemolyticus.     

Analysis of methanotroph community composition using a pmoA-based microbial diagnostic microarray

Microbial diagnostic microarrays (MDMs) are highly parallel hybridization platforms containing multiple sets of immobilized oligonucleotide probes used for parallel detection and identification of many different microorganisms in environmental and clinical samples. Each probe is approximately specific to a given group of organisms. Here we describe the protocol used to develop and validate an MDM method for the semiquantification of a range of functional genes--in this case, particulate methane monooxygenase (pmoA)--and we give an example of its application to the study of the community structure of methanotrophs and functionally related bacteria in the environment. The development and validation of an MDM, following this protocol, takes ～6 months. The pmoA MDM described in detail comprises 199 probes and addresses ～50 different species-level clades. An experiment comprising 24 samples can be completed, from DNA extraction to data acquisition, within 3 d (12-13 h bench work).     

Species-specific detection of hydrocarbon-utilizing bacteria

Rapid detection and quantitative assessment of specific microbial species in environmental samples is desirable for monitoring changes in ecosystems and for tracking natural or introduced microbial species during bioremediation of contaminated sites. In the interests of developing rapid tests for hydrocarbon-degrading bacteria, species-specific PCR primer sets have been developed for Pseudomonas aeruginosa, Stentrophomonas (Xanthomonas) maltophilia, and Serratia marsescens. Highly variable regions of the 16S rRNA gene were used to design these primer sets. The amplification products of these primer sets have been verified and validated with hemi-nested PCR and with ligase chain reaction (LCR) techniques, and have been applied to the analyses of environmental water samples. These species-specific primer sets were also chosen to amplify in conjunction with a universal set of PCR primers chosen from highly conserved neighboring sequences in the same gene. These multiplex or competitive PCR procedures enable testing with an internal marker and/or the quantitative estimation of the relative proportion of the microbial community that any one of these species occupies. In addition, this universal PCR primer set amplified the same size amplicon from a wide spectrum of procaryotic and eucaryotic organisms and may have potential in earth biota analyses.     

Identification of Aeromonas hydrophila hybridization group 1 by PCR assays.

Synthetic oligonucleotide primers of 24 and 23 bases were used in a PCR assay to amplify a sequence of the lip gene, which encodes a thermostable extracellular lipase of Aeromonas hydrophila. A DNA fragment of approximately 760 bp was amplified from both sources, i.e., lysed A. hydrophila cells and isolated DNA. The amplified sequence was detected in ethidium bromide-stained agarose gels or by Southern blot analysis with an internal HindIII-BamHI 356-bp fragment as a hybridization probe. With A. hydrophila cells, the sensitivity of the PCR assay was < 10 CFU, and with the isolated target, the lower detection limit was 0.89 pg of DNA. Primer specificity for A. hydrophila was determined by the PCR assay with cells of 50 strains of bacteria, including most of the 14 currently recognized DNA hybridization groups of Aeromonas spp. as well as other human and environmental Aeromonas isolates. Detection of A. hydrophila by PCR amplification of DNA has great potential for rapid identification of this bacterium because it has proved to be highly specific.     

Quantitative detection of the free-living amoeba Hartmannella vermiformis in surface water by using real-time PCR

A real-time PCR-based method targeting the 18S rRNA gene was developed for the quantitative detection of Hartmannella vermiformis, a free-living amoeba which is a potential host for Legionella pneumophila in warm water systems and cooling towers. The detection specificity was validated using genomic DNA of the closely related amoeba Hartmannella abertawensis as a negative control and sequence analysis of amplified products from environmental samples. Real-time PCR detection of serially diluted DNA extracted from H. vermiformis was linear for microscopic cell counts between 1.14 x 10(-1) and 1.14 x 10(4) cells per PCR. The genome of H. vermiformis harbors multiple copies of the 18S rRNA gene, and an average number (with standard error) of 1,330 +/- 127 copies per cell was derived from real-time PCR calibration curves for cell suspensions and plasmid DNA. No significant differences were observed between the 18S rRNA gene copy numbers for trophozoites and cysts of strain ATCC 50237 or between the copy numbers for this strain and strain KWR-1. The developed method was applied to water samples (200 ml) collected from a variety of lakes and rivers serving as sources for drinking water production in The Netherlands. Detectable populations were found in 21 of the 28 samples, with concentrations ranging from 5 to 75 cells/liter. A high degree of similarity (> or =98%) was observed between sequences of clones originating from the different surface waters and between these clones and the reference strains. Hence, H. vermiformis, which is highly similar to strains serving as hosts for L. pneumophila, is a common component of the microbial community in fresh surface water.     

Design and application of an oligonucleotide microarray for the investigation of compost microbial communities

A microarray consisting of oligonucleotide probes targeting variable regions of the 16S rRNA gene was designed and tested for the investigation of microbial communities in compost. Probes were designed for microorganisms that have been previously reported in the composting process and for plant, animal and human pathogens. The oligonucleotide probes were between 17 and 25 bp in length and included mostly species-specific sequences. Validation of probe specificity and optimization of hybridization conditions were conducted using fluorescently labeled 16S rRNA gene PCR products of pure culture strains. A labeling method employing a Cy3 or Cy5-labeled forward primer together with a phosphate-conjugated reverse primer for the production of single stranded DNA after a digestion step was optimised and used to label target DNA. A combination of two different DNA extraction methods using both physical and chemical lysis was found to give the best DNA yields. Increased hybridization signal intensities were obtained for probes modified with a 12 mer T-spacer. The microarray was found to have a detection limit of 10(3) cells, although in compost spiking experiments, the detection limit was reduced to 10(5) cells. The application of the microarray to compost samples indicated the presence of Streptococcus, Acinetobacter lwoffii, and Clostridium tetani in various compost samples. The presence of A. lwoffii in those compost samples was confirmed by PCR using primers specific for the organism. The aim of this study was to develop a molecular tool that would allow screening for the presence or absence of different microorganisms within compost samples.     

Design and evaluation of an oligonucleotide-microarray for the detection of different species of the genus Kitasatospora

An oligonucleotide-microarray method was developed for the detection of Kitasatospora species in soil samples. The 16S-23S rDNA internal transcribed spacer (ITS) sequence of these antibiotics-producing actinomycetes was applied to design short oligonucleotide probes. Two different 26-mers were synthesized, specific to each species used. Additionally, four oligonucleotide probes were designed to evaluate the system. The oligonucleotides were spotted onto slides of the ArrayTube microarray system and examined with a new silver-labeling detection technique. Prior to hybridization analysis, the 16S-23S rDNA were amplified by polymerase chain reaction both from bacterial cells and environmental samples using two actinomycetes specific primers containing a 5' biotin labeling. The type strains of eight Kitasatospora species included in this study were K. phosalacinea DSM 43860, K. setae DSM 43861, K. cochleata DSM 41652, K. cystarginea DSM 41680, K. azatica DSM 41650, K. mediocidica DSM 43929, K. paracochleata DSM 41656, and K. griseola DSM 43859. The actinomycetes-specific primers were shown to amplify the entire 16S-23S rDNA ITS region from all tested strains. More importantly, the described technique allows the detection of Kitasatospora strains from soil samples by extracting metagenomic DNA followed by a PCR amplification step. This indicates that the oligonucleotide-microarray method developed in this study is a reliable tool for the detection of Kitasatospora species in environmental samples.     

Cloning and sequencing of the histidine decarboxylase genes of gram-negative,histamine-producing bacteria and their application in detection and identification of these organisms in fish

The use of molecular tools for early and rapid detection of gram-negative histamine-producing bacteria is important for preventing the accumulation of histamine in fish products. To date, no molecular detection or identification system for gram-negative histamine-producing bacteria has been developed. A molecular method that allows the rapid detection of gram-negative histamine producers by PCR and simultaneous differentiation by single-strand conformation polymorphism (SSCP) analysis using the amplification product of the histidine decarboxylase genes (hdc) was developed. A collection of 37 strains of histamine-producing bacteria (8 reference strains from culture collections and 29 isolates from fish) and 470 strains of non-histamine-producing bacteria isolated from fish were tested. Histamine production of bacteria was determined by paper chromatography and confirmed by high-performance liquid chromatography. Among 37 strains of histamine-producing bacteria, all histidine-decarboxylating gram-negative bacteria produced a PCR product, except for a strain of Citrobacter braakii. In contrast, none of the non-histamine-producing strains (470 strains) produced an amplification product. Specificity of the amplification was further confirmed by sequencing the 0.7-kbp amplification product. A phylogenetic tree of the isolates constructed using newly determined sequences of partial hdc was similar to the phylogenetic tree generated from 16S ribosomal DNA sequences. Histamine accumulation occurred when PCR amplification of hdc was positive in all of fish samples tested and the presence of powerful histamine producers was confirmed by subsequent SSCP identification. The potential application of the PCR-SSCP method as a rapid monitoring tool is discussed.