Rapid and reliable detection of 11 food-borne pathogens using thin-film biosensor chips

Traditional methods for identifying food-borne pathogens are time-consuming and laborious, so it is necessary to develop innovative methods for the rapid identification of food-borne pathogens. Here, we report the development of silicon-based optical thin-film biosensor chips for sensitive detection of 11 food-borne pathogens. Briefly, aldehyde-labeled probes were arrayed and covalently attached to a hydrazine-derivatized chip surface, and then, biotinylated polymerase chain reaction (PCR) amplicons were hybridized with the probes. After washing and brief incubation with an antibiotin immunoglobulin G–horseradish peroxidase conjugate and a precipitable horseradish peroxidase substrate, biotinylated chains bound to the probes were visualized as a color change on the chip surface (gold to blue/purple). Highly sensitive and accurate examination of PCR fragment targets can be completed within 30 min. This assay is extremely robust, sensitive, specific, and economical and can be adapted to different throughputs. Thus, a rapid, sensitive, and reliable technique for detecting 11 food-borne pathogens was successfully developed.     

Extending the Bacillus cereus group genomics to putative food-borne pathogens of different toxicity

The Bacillus cereus group represents sporulating soil bacteria containing pathogenic strains which may cause diarrheic or emetic food poisoning outbreaks. Multiple locus sequence typing revealed a presence in natural samples of these bacteria of about 30 clonal complexes. Application of genomic methods to this group was however biased due to the major interest for representatives closely related to Bacillus anthracis. Albeit the most important food-borne pathogens were not yet defined, existing data indicate that they are scattered all over the phylogenetic tree. The preliminary analysis of the sequences of three genomes discussed in this paper narrows down the gaps in our knowledge of the B. cereus group. The strain NVH391-98 is a rare but particularly severe food-borne pathogen. Sequencing revealed that the strain should be a representative of a novel bacterial species, for which the name Bacillus cytotoxis or Bacillus cytotoxicus is proposed. This strain has a reduced genome size compared to other B. cereus group strains. Genome analysis revealed absence of sigma B factor and the presence of genes encoding diarrheic Nhe toxin, not detected earlier. The strain B. cereus F837/76 represents a clonal complex close to that of B. anthracis. Including F837/76, three such B. cereus strains had been sequenced. Alignment of genomes suggests that B. anthracis is their common ancestor. Since such strains often emerge from clinical cases, they merit a special attention. The third strain, KBAB4, is a typical facultative psychrophile generally found in soil. Phylogenic studies show that in nature it is the most active group in terms of gene exchange. Genomic sequence revealed high presence of extra-chromosomal genetic material (about 530kb) that may account for this phenomenon. Genes coding Nhe-like toxin were found on a big plasmid in this strain. This may indicate a potential mechanism of toxicity spread from the psychrophile strain community. The results of this genomic work and ecological compartments of different strains incite to consider a necessity of creating prophylactic vaccines against bacteria closely related to NVH391-98 and F837/76. Presumably developing of such vaccines can be based on the properties of non-pathogenic strains such as KBAB4 or ATCC14579 reported here or earlier. By comparing the protein coding genes of strains being sequenced in this project to others we estimate the shared proteome, or core genome, in the B. cereus group to be 3000+/-200 genes and the total proteome, or pan-genome, to be 20-25,000 genes.     

Genome sequencing and comparative genomics of tropical disease pathogens

The sequencing of eukaryotic genomes has lagged behind sequencing of organisms in the other domains of life, archae and bacteria, primarily due to their greater size and complexity. With recent advances in high-throughput technologies such as robotics and improved computational resources, the number of eukaryotic genome sequencing projects has increased significantly. Among these are a number of sequencing projects of tropical pathogens of medical and veterinary importance, many of which are responsible for causing widespread morbidity and mortality in peoples of developing countries. Uncovering the complete gene complement of these organisms is proving to be of immense value in the development of novel methods of parasite control, such as antiparasitic drugs and vaccines, as well as the development of new diagnostic tools. Combining pathogen genome sequences with the host and vector genome sequences is promising to be a robust method for the identification of host-pathogen interactions. Finally, comparative sequencing of related species, especially of organisms used as model systems in the study of the disease, is beginning to realize its potential in the identification of genes, and the evolutionary forces that shape the genes, that are involved in evasion of the host immune response.     

Sensitive and specific detection of microRNAs by northern blot analysis using LNA-modified oligonucleotide probes

We describe here a new method for highly efficient detection of microRNAs by northern blot analysis using LNA (locked nucleic acid)-modified oligonucleotides. In order to exploit the improved hybridization properties of LNA with their target RNA molecules, we designed several LNA-modified oligonucleotide probes for detection of different microRNAs in animals and plants. By modifying DNA oligonucleotides with LNAs using a design, in which every third nucleotide position was substituted by LNA, we could use the probes in northern blot analysis employing standard end-labelling techniques and hybridization conditions. The sensitivity in detecting mature microRNAs by northern blots was increased by at least 10-fold compared to DNA probes, while simultaneously being highly specific, as demonstrated by the use of different single and double mismatched LNA probes. Besides being highly efficient as northern probes, the same LNA-modified oligonucleotide probes would also be useful for miRNA in situ hybridization and miRNA expression profiling by LNA oligonucleotide microarrays.     

Microarray based Raman spectroscopic detection with gold nanoparticle probes

A microarray approach based on surface-enhanced Raman spectroscopic (SERS) was developed for detection of spotted peptide, peptide-protein or protein-antibody interaction. The procedure involves the attachment of peptide-capped gold nanoparticles followed by silver deposition for signal enhancement. The attachment of the gold nanoparticles is achieved by standard avidin-biotin chemistry. The well-known biomolecular recognition pairs, IgG/protein A and biotin/avidin, were used to demonstrate proof-of-concept of the SERS assay. Detection limits of 10 and 100 fg per microarray spot were obtained respectively for the peptide and protein arrays. For the protein in solution, a limit of 0.1 microg/mL is reported. Furthermore, enzyme activity of the kinase (PKA) is also detected with high specificity for an established peptide substrate (kemptide) on the microarray spots.     

凝集素在食源致病菌快速检测中应用的研究进展

凝集素是一类具有独特糖专一性、能够与糖非共价可逆结合的蛋白质。食源致病菌表面存在大量糖蛋白分子,凝集素因能够与其发生高亲和力的结合,被广泛应用于食源致病菌的快速检测中。凝集素作为识别分子用于食源致病菌的分离与检测,能够改善检测新方法的实用性、消除食品基质的干扰、缩短样品的处理时间、提高检测的灵敏度。本文介绍了凝集素的基本信息及其糖特异性识别机制,并对凝集素在食源致病菌快速检测领域的应用进展进行了综述。     

基于单碱基延伸标签反应的常见食源性致病菌基因芯片检测方法的建立

针对8种常见的食源性致病菌(金黄色葡萄球菌、副溶血弧菌、单核细胞增生李斯特菌、沙门氏菌、阪崎肠杆菌、志贺氏菌、肠出血性大肠杆菌O157:H7和空肠弯曲杆菌),建立了基于单碱基延伸标签反应原理的基因芯片检测方法。筛选和整合8种食源性致病菌基因组中的特异性序列和相应PCR引物,致病菌靶DNA片段被扩增和纯化作为单碱基延伸标签反应的模板,反应产物在DNA芯片上与探针进行杂交反应,然后通过扫描基片的荧光强度进行判断。实验结果表明,可采用基于单碱基延伸标签反应的基因芯片方法同时特异性检测8种食源性致病菌,基因组DNA多重检测灵敏度可达到0.1pg,以鼠伤寒沙门氏菌为单一检测对象的细菌纯培养物灵敏度可达到5×102CFU/mL。本方法可以快速灵敏地检测食源性致病菌,为食源性疾病的诊断和防治提供了一个有效的方法。     

Comprehensive splice-site analysis using comparative genomics

We have collected over half a million splice sites from five species-Homo sapiens, Mus musculus, Drosophila melanogaster, Caenorhabditis elegans and Arabidopsis thaliana-and classified them into four subtypes: U2-type GT-AG and GC-AG and U12-type GT-AG and AT-AC. We have also found new examples of rare splice-site categories, such as U12-type introns without canonical borders, and U2-dependent AT-AC introns. The splice-site sequences and several tools to explore them are available on a public website (SpliceRack). For the U12-type introns, we find several features conserved across species, as well as a clustering of these introns on genes. Using the information content of the splice-site motifs, and the phylogenetic distance between them, we identify: (i) a higher degree of conservation in the exonic portion of the U2-type splice sites in more complex organisms; (ii) conservation of exonic nucleotides for U12-type splice sites; (iii) divergent evolution of C.elegans 3' splice sites (3'ss) and (iv) distinct evolutionary histories of 5' and 3'ss. Our study proves that the identification of broad patterns in naturally-occurring splice sites, through the analysis of genomic datasets, provides mechanistic and evolutionary insights into pre-mRNA splicing.     

Accelerating comparative genomics using parallel computing

In the past decade there has been an increase in the number of completely sequenced genomes due to the race of multibillion-dollar genome-sequencing projects. The enormous biological sequence data thus flooding into the sequence databases necessitates the development of efficient tools for comparative genome sequence analysis. The information deduced by such analysis has various applications viz. structural and functional annotation of novel genes and proteins, finding gene order in the genome, gene fusion studies, constructing metabolic pathways etc. Such study also proves invaluable for pharmaceutical industries, such as in silico drug target identification and new drug discovery. There are various sequence analysis tools available for mining such useful information of which FASTA and Smith-Waterman algorithms are widely used. However, analyzing large datasets of genome sequences using the above codes seems to be impractical on uniprocessor machines. Hence there is a need for improving the performance of the above popular sequence analysis tools on parallel cluster computers. Performance of the Smith-Waterman (SSEARCH) and FASTA programs were studied on PARAM 10000, a parallel cluster of workstations designed and developed in-house. FASTA and SSEARCH programs, which are available from the University of Virginia, were ported on PARAM and were optimized. In this era of high performance computing, where the paradigm is shifting from conventional supercomputers to the cost-effective general-purpose cluster of workstations and PCs, this study finds extreme relevance. Good performance of sequence analysis tools on a cluster of workstations was demonstrated, which is important for accelerating identification of novel genes and drug targets by screening large databases.     

Improved template preparation for PCR-based assays for detection of food-borne bacterial pathogens

Shigella flexneri, Salmonella enterica serotype Typhimurium, and Listeria monocytogenes were applied to FTA filters, and the filters were used directly as templates to demonstrate their sensitivity and applicability in PCR-based detection assays. With pure cultures, the sensitivities of detection by FTA filter-based PCR were 30 to 50 and 200 CFU for the gram-negative enterics and Listeria, respectively. Different numbers of S. flexneri cells were used in controlled contamination experiments with several different foods (produce, beef, and apple cider). Aliquots from concentrated food washes subsequently spotted onto FTA filters and assayed by PCR gave consistently positive results and detection limits similar to those observed with pure-culture dilutions. This universal method for PCR template preparation from bacterial cells is rapid and highly sensitive and reduces interference from food-associated inhibitors of PCR. In addition, its broad applicability eliminates the need for multiple methods for analysis of food matrices.     

Rapid detection of pathogenic Vibrio parahaemolyticus by a sensitive and specific duplex PCR-hybridization probes assay using LightCycler

Aims:  To develop a real-time polymerase chain reaction (PCR) hybridization probe assay for rapid and specific detection of thermostable direct haemolysin-producing Vibrio parahaemolyticus.
Methods and Results:  Primers and hybridization probes were designed to target the toxR and tdh2 genes. Mismatches were introduced in the tdh2 primers for specific amplification of the target. The 3' ends of donor probes for both genes were labelled with fluorescein. The 5' ends of recipient probes for tdh2 and toxR were labelled with LC Red 640 and LC Red 705, respectively. The real-time assay was evaluated against conventional biochemical tests and the KAP-RPLA kit (Kanagawa phenomenon detection kit by reverse passive latex agglutination). toxR and tdh2 were detected in 100% and 91% of clinical V. parahaemolyticus isolates ( n  = 118), respectively. Specificity and sensitivity of the real-time assay for toxR and tdh2 were 100%, respectively. Dynamic range of detection for toxR was 10⁷–10¹ CFU ml⁻¹ and that for tdh2 was 10⁷–10⁴ CFU ml⁻¹.
Conclusions:  The LightCycler assay described is sensitive and highly specific for detection of pathogenic V. parahaemolyticus in a single reaction tube within 80 min.
Significance and Impact of the Study:  The assay developed allows accurate detection of pathogenic V. parahaemolyticus , which is valuable for rapid tracing of infection source during outbreaks.     

Development and application of an oligonucleotide microarray for the detection of food-borne bacterial pathogens

The rapid and accurate detection and identification of food-borne pathogenic bacteria is critical for food safety. In this paper, we describe a rapid (<4 h) high-throughput detection and identification system that uses universal polymerase chain reaction (PCR) primers to amplify a variable region of bacterial the 16S rRNA gene, followed by reverse hybridization of the products to species-specific oligonucleotide probes on a chip. This procedure was successful in discriminating 204 strains of bacteria from pure culture belonging to 13 genera of bacteria. When this method was applied directly to 115 strains of bacteria isolated from foods, 112/115 (97.4%) were correctly identified; two strains were indistinguishable due to weak signal, while one failed to produce a PCR product. The array was used to detect and successfully identify two strains of bacteria from food poisoning outbreak samples, giving results through hybridization that were identical to those obtained by traditional methods. The sensitivity of the microarray assay was 10² CFU of bacteria. Thus, the oligonucleotide microarray is a powerful tool for the detection and identification of pathogens from foods. Electronic supplementary material The online version of this article (doi:) contains supplementary material, which is available to authorized users.     

The specific and sensitive detection of bacterial pathogens within 4 h using bacteriophage amplification

This paper describes a novel approach, termed the 'phage amplification assay', for the rapid detection and identification of specific bacteria. The technique is based on the phage lytic cycle with plaque formation as the assay end-point. It is highly sensitive, quantitative and gives results typically within 4 h. The assay comprises four main stages : (1) phage infection of target bacterium ; (2) destruction of exogenous phage ; (3) amplification of phage within infected host and (4) plaque formation from infected host with the aid of helper bacteria. A key component of this assay is a potent virucidal agent derived from natural plant extracts, pomegranate rind extract (PRE). In combination with ferrous sulphate PRE can bring about an 11 log-cycle reduction in phage titre within 3 min. This is achieved without any injury to the infected target bacteria. Subsequently, any resulting plaques are derived only from infected target organisms. Data are presented for a range of bacterial hosts including Pseudomonas aeruginosa, Salmonella typhimurium and Staphylococcus aureus. The detection limit for Ps. aeruginosa was 40 bacteria ml⁻¹ in a time of 4 h and 600 bacteria m⁻¹ for Salm. typhimurium. Application of the principles of this technology to other bacterial genera is discussed.     

Enumeration of Legionella CFU by colony hybridization using specific DNA probes

Oligonucleotide probes and colony hybridization (CH) were applied to enumerate organisms of the genus Legionella in cooling tower water. The CH counts indicated almost the same results as CFU counts in cultivated samples derived from the water. It was concluded that it is possible to substitute the CH procedure for the conventional one.     

Quenched probes for highly specific detection of cellular RNAs

Nucleic acid-based RNA detection is a promising field in molecular biotechnology that is leading to the rapid and accurate identification of microorganisms, diagnosis of infections and imaging of gene expression. The specificity of short synthetic DNA probes raises the hope of distinguishing small differences in sequence, ultimately achieving single nucleotide resolution. Recent work using quenched fluorescently labeled oligonucleotide probes as sensors for RNA in bacterial and human cells has overcome several difficult hurdles on the way to these goals, including delivery of probes to live cells, accessing RNA sites containing a high degree of secondary structure, and eliminating many sources of background. Two new classes of quenched oligonucleotide probes, molecular beacons and quenched auto-ligation probes, have shown the most promise for in situ RNA detection. High-specificity detection, at the single-nucleotide resolution level, is now possible in solution with these classes of probes. However, for applications in intact cells, signal and background issues still need to be addressed before the full potential of these methods is achieved.     

Application of DNA microarray technology for detection, identification, and characterization of food-borne pathogens

DNA microarrays represent the latest advance in molecular technology. In combination with bioinformatics, they provide unparalleled opportunities for simultaneous detection of thousands of genes or target DNA sequences and offer tremendous potential for studying food-borne microorganisms. This review provides an up-to-date look at the application of DNA microarray technology to detect food-borne pathogenic bacteria, viruses, and parasites. In addition, it covers the advantages of using microarray technology to further characterize microorganisms by providing information for specific identification of isolates, to understand the pathogenesis based on the presence of virulence genes, and to indicate how new pathogenic strains evolved epidemiologically and phylogenetically.