Rapid detection and species identification of Mycobacterium spp. using real-time PCR and DNA-microarray

DNA microarray chip assay in new use: early diagnostic value in cutaneous mycobacterial infection

Introduction

The clinical practicability of DNA microarray chip in detecting the presence of mycobacterial species/isolates directly in the skin tissues has not been evaluated, nor the efficacy of DNA microarray chip as a novel diagnostic tool for the early diagnosis of cutaneous mycobacterial infections is known.

Methods

The present study analyzed the incidence of cutaneous mycobacterial infections in Shanghai and explored the efficacy of a novel DNA microarray chip assay for the clinical diagnosis of the disease from skin tissue specimens compared to traditional detection methods. A total of 60 participants fulfilling the defined diagnostic criteria and confirmed positive for cutaneous mycobacterial infections from 2019 to 2021 were enrolled in the study. Subsequent to recording the participants' medical history and clinical characteristics, the skin tissue specimens were collected for analyses. The specimens underwent histopathological analyses, skin tissue culture, and DNA microarray chip assay.

Results

Increased incidence of cutaneous mycobacterial infection was detected from 2019 to 2021. The most common infecting pathogen was M. marinum followed by M. abscessus. The sensitivity, specificity and accuracy of the skin tissue culture method were 70%, 100% and 76.62%, respectively, while that of the DNA microarray chip assay were 91.67%, 100% and 93.51%, respectively. The sensitivity and accuracy of the DNA microarray chip assay were significantly higher than those of the skin tissue culture method. The positive likelihood and diagnostic odds ratio were >10 and >1, respectively for both the methods. The negative likelihood ratio was significantly higher (30% vs 8.33%) and the Youden's index was significantly lower (70.00% vs 91.67%) in the skin culture method compared to that of the DNA microarray chip assay. There was a significant association of false negative results with a history of antibiotic use in the skin tissue culture method.

Discussion

Given the increasing incidence of cutaneous mycobacterial infections, early diagnosis remains a prime clinical focus. The DNA microarray chip assay provides a simple, rapid, high-throughput, and reliable method for the diagnosis of cutaneous mycobacterial infections with potential for clinical application.

[Two severe cases of disseminated cutaneous nontuberculous mycobacteriosis due to Mycobacterium haemophilum]

Mycobacterium haemophilum is a rare pathogen belonging to the group of slowly growing nontuberculous mycobacteria (NTM) that can cause infections, especially in immunocompromised patients. Detection by culturing is difficult because M. haemophilum only grows under special cultivation conditions. Therefore, it is believed that the pathogen is too rarely identified as a cause of disease overall. In addition to patients with severe immunodeficiency, e.g. due to acquired immunodeficiency syndrome (AIDS), chemotherapy or immunosuppression after transplantation, patients with underlying rheumatic diseases are increasingly described in the literature, who are at risk due to the immunosuppressive treatment regimen. Clinically, ulcerative skin alterations, lymphadenopathy and arthropathy are in the foreground. In immunosuppressed patients with unclear skin lesions, infections due to M. haemophilum should be considered and specific microbiological diagnostics should be initiated.

Surgical site infections by atypical mycobacteria: prevalence and species characterization using MALDI-TOF and molecular LCD chip array

BACKGROUND

Surgical site infection (SSI) is a post-operative complication of high concern with adverse impact on patient prognosis and public health systems. Recently, SSI pathogens have experienced a change in microbial profile with increasing reports of non-tuberculous mycobacteria (NTM) as important pathogens.

AIM

of the study The study aimed to detect the prevalence of NTM among cases with SSIs and describe their species using matrix-assisted laser desorption ionization time of flight mass spectrometry (MALDI-TOF MS) and PCR-based microarray.

METHODS

The study was conducted with 192 pus samples collected from patients with SSI. Mycobacterial investigations were done in the form of Ziehl-Neelsen (ZN) smears for acid-fast bacilli, automated mycobacterial culture to isolate mycobacteria, followed by immunochromatography test to predict NTM. NTM-positive cultures were tested by MALDI -TOF MS and PCR-based microarray to reach species-level identification.

RESULTS

Mycobacterial growth was found in 11/192 samples (5.7%) and identified as 4 NTM and 7 M. tuberculosis isolates with prevalence of 2.1% and 3.64%, respectively. The NTM species were described by MALDI-TOF as M. abscessus, M. porcinum, M. bacteremicum, and M. gordonae. Microarray agreed with MALDI-TOF in identifying one isolate (M. abscessus), while two isolates were classified as belonging to broad groups and one isolate failed to be identified.

CONCLUSIONS

The prevalence of NTM among SSI was found to be low, yet have to be considered in the diagnosis of mycobacteria. Employing advanced technologies in diagnosis is recommended to guide for appropriate treatment.

Simultaneous Detection of Mycobacterium tuberculosis and Atypical Mycobacteria by DNA-Microarray in Egypt

BACKGROUND AND OBJECTIVES

Immunocompromised patients are a high-risk group for developing mycobacterial infections with either pulmonary and/or extrapulmonary diseases. Low-cost/density DNA-microarray is considered an easy and efficient method for the detection of typical and atypical mycobacterial species.

MATERIALS AND METHODS

Thirty immunocompromised patients were recruited to provide their clinical specimens (sputum, serum, urine, and lymph node aspirates). Real-time polymerase chain reaction (PCR) and DNA-microarray techniques were performed and compared to the conventional methods of Ziehl-Neelsen staining and Lowenstein Jensen culturing.

RESULTS

Mycobacterium tuberculosis complex was detected in all 30 clinical specimens (100% sensitivity) by real-time PCR and DNA-microarray. Additionally, coinfection with 4 atypical species belonging to nontuberculous mycobacteria was identified in 7 sputum specimens. These atypical mycobacterial species were identified as M. kansasii 10% (n = 3), M. avium complex 6.6% (n = 2), M. gordanae 3.3% (n = 1), and M. peregrinum 3.3% (n = 1).

CONCLUSION

This study documents the presence of certain species of atypical mycobacteria among immunocompromised patients in Egypt.

Nontuberculous mycobacteria in drinking water systems - the challenges of characterization and risk mitigation

Nontuberculous mycobacteria (NTM) pulmonary infections are a growing concern worldwide, with a disproportionate incidence in persons with pre-existing health conditions. NTM have frequently been found in municipally-treated drinking water and building plumbing, leading to the hypothesis that an important source of NTM exposure is drinking water. The identification and quantification of NTM in environmental samples are complicated by genetic variability among NTM species, making it challenging to determine if clinically relevant NTM are present. Additionally, their unique cellular features and lifestyles make NTM and their nucleic acids difficult to recover. This review highlights a recent work focused on quantification and characterization of NTM and on understanding the influence of source water, treatment plants, distribution systems, and building plumbing on the abundance of NTM in drinking water.

Mycobacterioses identified in the National Reference Laboratory of Colombia from 2012 to 2016

Introduction: In recent years, there has been an increase in the prevalence of mycobacterioses caused by non-tuberculous mycobacteria, which are considered as emerging pathogens. Their presence depends on several factors such as the clinical history, the health status of the affected person, and the presence of these microorganisms in the water, the soil, and the animals, among others. Objective: To describe the mycobacteria and the etiological agent identified in isolates received at the Laboratorio Nacional de Referencia de Micobacterias of the Instituto Nacional de Salud between 2012 and 2016. Materials and methods: We conducted a retrospective analysis of samples from 273 patients with mycobacterioses. We analyzed the following variables: mycobacteriosis type, etiological agent, and associated predisposing factors. Results: 57.1% of the cases presented pulmonary mycobacteriosis; 26%, cutaneous; 10.6%, disseminated, and 2.6%, lymphatic. We found the Mycobacterium avium complex more frequently in pulmonary mycobacteriosis, while M. abscessus was more frequent in the extrapulmonary types of the disease. Patients with pulmonary mycobacteriosis had a history of tuberculosis more frequently than those with extrapulmonary forms. Conclusion: These findings highlight the importance of the differential diagnosis between M. tuberculosis complex species and non-tuberculous mycobacteria since the latter are genetically resistant to conventional antituberculosis drugs.

Differential Identification of Mycobacterial Species Using High-Resolution Melting Analysis

Infections caused by non-tuberculous mycobacteria (NTM) is increasing wordwide. Due to the difference in treatment of NTM infections and tuberculosis, rapid species identification of mycobacterial clinical isolates is necessary for the effective management of mycobacterial diseases treatment and their control strategy. In this study, a cost-effective technique, real-time PCR coupled with high-resolution melting (HRM) analysis, was developed for the differentiation of Mycobacterial species using a novel rpoBC sequence. A total of 107 mycobacterial isolates (nine references and 98 clinical isolates) were subjected to differentiation using rpoBC locus sequence in a real-time PCR-HRM assay scheme. From 98 Mycobacterium clinical isolates, 88 species (89.7%), were identified at the species level by rpoBC locus sequence analysis as a gold standard method. M. simiae was the most frequently encountered species (41 isolates), followed by M. fortuitum (20 isolates), M. tuberculosis (15 isolates), M. kansassi (10 isolates), M. abscessus group (5 isolates), M. avium (5 isolates), and M. chelonae and M. intracellulare one isolate each. The HRM analysis generated six unique specific groups representing M. tuberculosis complex, M. kansasii, M. simiae, M. fortuitum, M. abscessus–M. chelonae group, and M. avium complex. In conclusion, this study showed that the rpoBC-based real-time PCR followed by HRM analysis could differentiate the majority of mycobacterial species that are commonly encountered in clinical specimens.

Methodological approaches for monitoring opportunistic pathogens in premise plumbing: A review

Opportunistic premise (i.e., building) plumbing pathogens (OPPPs, e.g., Legionella pneumophila, Mycobacterium avium complex, Pseudomonas aeruginosa, Acanthamoeba, and Naegleria fowleri) are a significant and growing source of disease. Because OPPPs establish and grow as part of the native drinking water microbiota, they do not correspond to fecal indicators, presenting a major challenge to standard drinking water monitoring practices. Further, different OPPPs present distinct requirements for sampling, preservation, and analysis, creating an impediment to their parallel detection. The aim of this critical review is to evaluate the state of the science of monitoring OPPPs and identify a path forward for their parallel detection and quantification in a manner commensurate with the need for reliable data that is informative to risk assessment and mitigation. Water and biofilm sampling procedures, as well as factors influencing sample representativeness and detection sensitivity, are critically evaluated with respect to the five representative bacterial and amoebal OPPPs noted above. Available culturing and molecular approaches are discussed in terms of their advantages, limitations, and applicability. Knowledge gaps and research needs towards standardized approaches are identified.

Application of a dual target PCR-high resolution melting (HRM) method for rapid nontuberculous mycobacteria identification

Species differentiation of nontuberculous mycobacteria (NTM) has long been a difficult task in clinical laboratories. This study demonstrated and evaluated a simple and cost-effective method using the real-time PCR with high-resolution melting (PCR-HRM) analysis technique, which could differentiate at least 14 different medically related NTM.

Rapid differentiation of mycobacteria by simplex real-time PCR with melting temperature calling analysis

AIMS

This study aimed to develop a rapid, simple and cost-effective method for the differentiation of Mycobacterium species.

METHODS AND RESULTS

A total of 80 clinical mycobacterial isolates belonging to 12 different species and 16 reference strains of 16 different species were differentiated by the simplex real-time PCR coupled with melting temperature calling analysis. By comparing their melting profiles with those of the reference strains, all clinical mycobacterial isolates were differentiated as Mycobacterium tuberculosis complex or nontuberculous mycobacteria, and the latter were further divided into five groups. In comparison with 16S-23S internal transcribed spacer sequencing method as the gold standard method, both sensitivity and specificity of the assay were 100% when it was used for the differentiation between Myco. tuberculosis complex and nontuberculous mycobacteria.

CONCLUSIONS

The simplex real-time PCR coupled with melting temperature calling analysis could be an alternative method for the differentiation between Myco. tuberculosis complex and nontuberculous mycobacteria.

SIGNIFICANCE AND IMPACT OF THE STUDY

Rapid differentiation of mycobacteria could shorten the diagnostic time of mycobacterial diseases. It is also helpful for achieving optimal therapy and appropriate patient management.

Solid and Suspension Microarrays for Microbial Diagnostics

Advancements in molecular technologies have provided new platforms that are being increasingly adopted for use in the clinical microbiology laboratory. Among these, microarray methods are particularly well suited for diagnostics as they allow multiplexing, or the ability to test for multiple targets simultaneously from the same specimen. Microarray technologies commonly used for the detection and identification of microbial targets include solid-state microarrays, electronic microarrays and bead suspension microarrays. Microarray methods have been applied to microbial detection, genotyping and antimicrobial resistance gene detection. Microarrays can offer a panel approach to diagnose specific patient presentations, such as respiratory or gastrointestinal infections, and can discriminate isolates by genotype for tracking epidemiology and outbreak investigations. And, as more information has become available on specific genes and pathways involved in antimicrobial resistance, we are beginning to be able to predict susceptibility patterns based on sequence detection for particular organisms. With further advances in automated microarray processing methods and genotype-phenotype prediction algorithms, these tests will become even more useful as an adjunct or replacement for conventional antimicrobial susceptibility testing, allowing for more rapid selection of targeted therapy for infectious diseases.

Detection of mycobacteria, Mycobacterium avium subspecies, and Mycobacterium tuberculosis complex by a novel tetraplex real-time PCR assay

Mycobacterium tuberculosis complex, Mycobacterium avium, and many other nontuberculous mycobacteria are worldwide distributed microorganisms of major medical and veterinary importance. Considering the growing epidemiologic significance of wildlife-livestock-human interrelation, developing rapid detection tools of high specificity and sensitivity is vital to assess their presence and accelerate the process of diagnosing mycobacteriosis. Here we describe the development and evaluation of a novel tetraplex real-time PCR for simultaneous detection of Mycobacterium genus, M. avium subspecies, and M. tuberculosis complex in an internally monitored single assay. The method was evaluated using DNA from mycobacterial (n = 38) and nonmycobacterial (n = 28) strains, tissues spiked with different CFU amounts of three mycobacterial species (n = 57), archival clinical samples (n = 233), and strains isolated from various hosts (n = 147). The minimum detectable DNA amount per reaction was 50 fg for M. bovis BCG and M. kansasii and 5 fg for M. avium subsp. hominissuis. When spiked samples were analyzed, the method consistently detected as few as 100 to 1,000 mycobacterial CFU per gram. The sensitivity and specificity values for the panel of clinical samples were 97.5 and 100% using a verified culture-based method as the reference method. The assays performed on clinical isolates confirmed these results. This PCR was able to identify M. avium and M. tuberculosis complex in the same sample in one reaction. In conclusion, the tetraplex real-time PCR we designed represents a highly specific and sensitive tool for the detection and identification of mycobacteria in routine laboratory diagnosis with potential additional uses.

atpE gene as a new useful specific molecular target to quantify Mycobacterium in environmental samples

Background

The environment is the likely source of many pathogenic mycobacterial species but detection of mycobacteria by bacteriological tools is generally difficult and time-consuming. Consequently, several molecular targets based on the sequences of housekeeping genes, non-functional RNA and structural ribosomal RNAs have been proposed for the detection and identification of mycobacteria in clinical or environmental samples. While certain of these targets were proposed as specific for this genus, most are prone to false positive results in complex environmental samples that include related, but distinct, bacterial genera. Nowadays the increased number of sequenced genomes and the availability of software for genomic comparison provide tools to develop novel, mycobacteria-specific targets, and the associated molecular probes and primers. Consequently, we conducted an in silico search for proteins exclusive to Mycobacterium spp. genomes in order to design sensitive and specific molecular targets.

Results

Among the 3989 predicted proteins from M. tuberculosis H37Rv, only 11 proteins showed 80% to 100% of similarity with Mycobacterium spp. genomes, and less than 50% of similarity with genomes of closely related Corynebacterium, Nocardia and Rhodococcus genera. Based on DNA sequence alignments, we designed primer pairs and a probe that specifically detect the atpE gene of mycobacteria, as verified by quantitative real-time PCR on a collection of mycobacteria and non-mycobacterial species. The real-time PCR method we developed was successfully used to detect mycobacteria in tap water and lake samples.

Conclusions

The results indicate that this real-time PCR method targeting the atpE gene can serve for highly specific detection and precise quantification of Mycobacterium spp. in environmental samples.

Comparative studies on species identification of Noctuoidea moths in two nature reserve conservation zones (Beijing, China) using DNA barcodes and thin-film biosensor chips

Rapid and accurate identification of species is required for the biological control of pest Noctuoidea moths. DNA barcodes and thin-film biosensor chips are two molecular approaches that have gained wide attention. Here, we compare these two methods for the identification of a limited number of Noctuoidea moth species. Based on the commonly used mitochondrial gene cytochrome c oxidase I (the standard DNA barcode for animal species), 14 probes were designed and synthesized for 14 species shared by two national nature reserves in Beijing and Hebei, China. Probes ranged in length from 18 to 27 bp and were designed as mismatch probes to guarantee that there were at least three base differences between the probe and nontarget sequences. The results on the chip could be detected by the naked eye without needing special equipment. No cross-hybridizations were detected although we tested all probes on the 14 target and 24 nontarget Noctuoidea species. The neighbour-joining tree of the 38 species based on COI sequences gave 38 highly supported independent groups. Both DNA barcoding and thin-film biosensor chips, based on the COI gene, are able to accurately identify and discriminate the 14 targeted moth species in this study. Because of its speed, high accuracy and low cost, the thin-film biosensor chip is a very practical means of species identification. Now, a more comprehensive chip will be developed for the identification of additional Noctuoidea moths for pest control and ecological protection.

Comparative evaluation of two rapid methods for differentiating mycobacteria

The real-time PCR with duplex primer sets and the MPB64-based immunochromatographic assay are newly developed methods for rapid differentiation of mycobacteria. The aim of this study is to evaluate the two methods for differentiation between Mycobacterium tuberculosis complex and nontuberculous mycobacteria. A total of 95 clinical mycobacterial isolates belonging to 22 different species and 16 reference strains of 16 different species were differentiated by duplex real-time PCR method and MPB64-based immunochromatographic assay method. The two methods were evaluated by comparison with conventional biochemical technique as the gold standard method. The duplex real-time PCR method correctly differentiated all reference strains as well as the MPB64-based immunochromatographic assay method. For clinical isolates, the accuracy of the duplex real-time PCR method (100%) was slightly higher than the MPB64-based immunochromatographic assay method (97.9%), but there was no statistical significance between the two methods (P > 0.05), and there was an excellent agreement between them (Kappa = 0.957). The duplex real-time PCR method possesses greater potential for differentiation of mycobacteria in the clinical laboratory than the MPB64-based immunochromatographic assay method. However, the MPB64-based immunochromatographic assay method is more convenient than the duplex real-time PCR method when the number of sample is small.

Rapid and accurate identification of Mycobacterium tuberculosis complex and common non-tuberculous mycobacteria by multiplex real-time PCR targeting different housekeeping genes

Rapid and accurate identification of mycobacteria isolates from primary culture is important due to timely and appropriate antibiotic therapy. Conventional methods for identification of Mycobacterium species based on biochemical tests needs several weeks and may remain inconclusive. In this study, a novel multiplex real-time PCR was developed for rapid identification of Mycobacterium genus, Mycobacterium tuberculosis complex (MTC) and the most common non-tuberculosis mycobacteria species including M. abscessus, M. fortuitum, M. avium complex, M. kansasii, and the M. gordonae in three reaction tubes but under same PCR condition. Genetic targets for primer designing included the 16S rDNA gene, the dnaJ gene, the gyrB gene and internal transcribed spacer (ITS). Multiplex real-time PCR was setup with reference Mycobacterium strains and was subsequently tested with 66 clinical isolates. Results of multiplex real-time PCR were analyzed with melting curves and melting temperature (T (m)) of Mycobacterium genus, MTC, and each of non-tuberculosis Mycobacterium species were determined. Multiplex real-time PCR results were compared with amplification and sequencing of 16S-23S rDNA ITS for identification of Mycobacterium species. Sensitivity and specificity of designed primers were each 100 % for MTC, M. abscessus, M. fortuitum, M. avium complex, M. kansasii, and M. gordonae. Sensitivity and specificity of designed primer for genus Mycobacterium was 96 and 100 %, respectively. According to the obtained results, we conclude that this multiplex real-time PCR with melting curve analysis and these novel primers can be used for rapid and accurate identification of genus Mycobacterium, MTC, and the most common non-tuberculosis Mycobacterium species.

Clinical manifestations, diagnosis, and treatment of Mycobacterium haemophilum infections

Mycobacterium haemophilum is a slowly growing acid-fast bacillus (AFB) belonging to the group of nontuberculous mycobacteria (NTM) frequently found in environmental habitats, which can colonize and occasionally infect humans and animals. Several findings suggest that water reservoirs are a likely source of M. haemophilum infections. M. haemophilum causes mainly ulcerating skin infections and arthritis in persons who are severely immunocompromised. Disseminated and pulmonary infections occasionally occur. The second at-risk group is otherwise healthy children, who typically develop cervical and perihilar lymphadenitis. A full diagnostic regimen for the optimal detection of M. haemophilum includes acid-fast staining, culturing at two temperatures with iron-supplemented media, and molecular detection. The most preferable molecular assay is a real-time PCR targeting an M. haemophilum-specific internal transcribed spacer (ITS), but another approach is the application of a generic PCR for a mycobacterium-specific fragment with subsequent sequencing to identify M. haemophilum. No standard treatment guidelines are available, but published literature agrees that immunocompromised patients should be treated with multiple antibiotics, tailored to the disease presentation and underlying degree of immune suppression. The outcome of M. haemophilum cervicofacial lymphadenitis in immunocompetent patients favors surgical intervention rather than antibiotic treatment.

Development of a real-time qPCR method for detection and enumeration of Mycobacterium spp. in surface water

A real-time quantitative PCR method was developed for the detection and enumeration of Mycobacterium spp. from environmental samples and was compared to two other methods already described. The results showed that our method, targeting 16S rRNA, was more specific than the two previously published real-time quantitative PCR methods targeting another 16S rRNA locus and the hsp65 gene (100% versus 44% and 91%, respectively).

Identifying Fishes through DNA Barcodes and Microarrays

Background

International fish trade reached an import value of 62.8 billion Euro in 2006, of which 44.6% are covered by the European Union. Species identification is a key problem throughout the life cycle of fishes: from eggs and larvae to adults in fisheries research and control, as well as processed fish products in consumer protection.

Methodology/Principal Findings

This study aims to evaluate the applicability of the three mitochondrial genes 16S rRNA (16S), cytochrome b (cyt b), and cytochrome oxidase subunit I (COI) for the identification of 50 European marine fish species by combining techniques of “DNA barcoding” and microarrays. In a DNA barcoding approach, neighbour Joining (NJ) phylogenetic trees of 369 16S, 212 cyt b, and 447 COI sequences indicated that cyt b and COI are suitable for unambiguous identification, whereas 16S failed to discriminate closely related flatfish and gurnard species. In course of probe design for DNA microarray development, each of the markers yielded a high number of potentially species-specific probes in silico, although many of them were rejected based on microarray hybridisation experiments. None of the markers provided probes to discriminate the sibling flatfish and gurnard species. However, since 16S-probes were less negatively influenced by the “position of label” effect and showed the lowest rejection rate and the highest mean signal intensity, 16S is more suitable for DNA microarray probe design than cty b and COI. The large portion of rejected COI-probes after hybridisation experiments (>90%) renders the DNA barcoding marker as rather unsuitable for this high-throughput technology.

Conclusions/Significance

Based on these data, a DNA microarray containing 64 functional oligonucleotide probes for the identification of 30 out of the 50 fish species investigated was developed. It represents the next step towards an automated and easy-to-handle method to identify fish, ichthyoplankton, and fish products.

Future Veterinary Diagnostics

The development of rapid, accurate, and sensitive diagnostic methods for detecting pathogens is the basis for treating, controlling, and eradicating infectious diseases of veterinary importance. Scientific and technological advancements have revolutionized the field of veterinary diagnostics. Genome sequencing has allowed efficient, sensitive, and specific diagnostic assays to be developed based on the detection of nucleic acids. The integration of advances in biochemistry, proteomics, engineering, and medicine offers enormous potential for the rapid and accurate diagnosis of viral, microbial, genetic, and metabolic disease. In the future, polymerase chain reaction assays, microarray testing, genomic analysis, and metabolic profiling will be accomplished in a rapid, portable, sensitive, and cost-efficient manner.

DNA microarrays for identifying fishes

In many cases marine organisms and especially their diverse developmental stages are difficult to identify by morphological characters. DNA-based identification methods offer an analytically powerful addition or even an alternative. In this study, a DNA microarray has been developed to be able to investigate its potential as a tool for the identification of fish species from European seas based on mitochondrial 16S rDNA sequences. Eleven commercially important fish species were selected for a first prototype. Oligonucleotide probes were designed based on the 16S rDNA sequences obtained from 230 individuals of 27 fish species. In addition, more than 1200 sequences of 380 species served as sequence background against which the specificity of the probes was tested in silico. Single target hybridisations with Cy5-labelled, PCR-amplified 16S rDNA fragments from each of the 11 species on microarrays containing the complete set of probes confirmed their suitability. True-positive, fluorescence signals obtained were at least one order of magnitude stronger than false-positive cross-hybridisations. Single nontarget hybridisations resulted in cross-hybridisation signals at approximately 27% of the cases tested, but all of them were at least one order of magnitude lower than true-positive signals. This study demonstrates that the 16S rDNA gene is suitable for designing oligonucleotide probes, which can be used to differentiate 11 fish species. These data are a solid basis for the second step to create a "Fish Chip" for approximately 50 fish species relevant in marine environmental and fisheries research, as well as control of fisheries products.

Development of a real-time PCR-based method for rapid differential identification of Mycobacterium species

AIMS

To develop a real-time PCR method for rapid differential identification of many clinically important mycobacteria to the species level.

METHODS AND RESULTS

Eighteen Mycobacterium species that are considered clinically important were targeted for the identification. One primer pair and 21 pairs of hybridization probes (HybProbes) specific for the genus, species or complex were designed based on the rpoB gene sequences of mycobacteria. Twenty-five different Mycobacterium reference species were tested. In a single round of real-time PCR, all the nontuberculous mycobacteria (NTM) species tested were identified at the genus level and 16 of the 18 targeted species were differentially identified to the species or complex level during the amplification cycles; subsequent melting curve analysis allowed the specific identification of all the target species at the species or complex level without cross-reactivity with the other species.

CONCLUSIONS

The developed real-time PCR assay rapidly identifies the NTM at the genus level and 18 clinically important Mycobacterium species at the species or complex level.

SIGNIFICANCE AND IMPACT OF THE STUDY

This real-time PCR assay provides a useful tool for the rapid differentiation of most clinically important Mycobacterium species.

[New methods for mycobacteria identification]

Currently, the genus Mycobacterium comprises more than 100 different species, many of which cause significant clinical infections with high morbidity and mortality. Mycobacteria identification by conventional methods (rate and optimal temperature of growth, pigment production, colony morphology, and biochemical characteristics) has been the standard in most clinical microbiology laboratories. However, this phenotypic approach has considerable limitations, since numerous species cannot be differentiated. Moreover, because of the slow growth of these microorganisms, the results may not be available until 2-4 weeks after the initial isolation. Therefore, one of the most important challenges for clinical mycobacteriology laboratories is rapid and accurate identification of this variety of microorganism. This review aims to briefly describe several alternative procedures for mycobacterial identification. Although analysis of cell wall lipids (mycolic acids) by high-performance liquid chromatography is an interesting and well-known option, the most promising innovation for mycobacteria identification is the use of rapid molecular methods such as nucleic acid probes and, especially, genomic amplification methods.