Matrix-assisted laser desorption ionization (MALDI)-time of flight mass spectrometry- and MALDI biotyper-based identification of cultured biphenyl-metabolizing bacteria from contaminated horseradish rhizosphere soil

Bacteria that are able to utilize biphenyl as a sole source of carbon were extracted and isolated from polychlorinated biphenyl (PCB)-contaminated soil vegetated by horseradish. Isolates were identified using matrix-assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF MS). The usage of MALDI Biotyper for the classification of isolates was evaluated and compared to 16S rRNA gene sequence analysis. A wide spectrum of bacteria was isolated, with Arthrobacter, Serratia, Rhodococcus, and Rhizobium being predominant. Arthrobacter isolates also represented the most diverse group. The use of MALDI Biotyper in many cases permitted the identification at the level of species, which was not achieved by 16S rRNA gene sequence analyses. However, some isolates had to be identified by 16S rRNA gene analyses if MALDI Biotyper-based identification was at the level of probable or not reliable identification, usually due to a lack of reference spectra included in the database. Overall, this study shows the possibility of using MALDI-TOF MS and MALDI Biotyper for the fast and relatively nonlaborious identification/classification of soil isolates. At the same time, it demonstrates the dominant role of employing 16S rRNA gene analyses for the identification of recently isolated strains that can later fill the gaps in the protein-based identification databases.     

Genotypic characterization of soil bacteria in the Umm Al-Namil Island,Kuwait

Microflora is an integral part of soil ecosystem, in which bacteria are the largest group of soil microbes. This is a pioneer study for establishing baseline data on the diversity of soil bacteria among different regions in Kuwait. The aim is to understand biodiversity in different settings, how bacteria adapt to different niches in the environment as well as in different hosts. The identification of bacterial 16S rRNA molecules from environmental soil samples was investigated. Genomic Deoxyribonucleic acid DNA was extracted from 25 soil samples derived from five different test regions in the Umm Al-Namil Island, Kuwait. After amplification of bacterial 16S rRNA molecules by the Polymerase chain reaction PCR, the products were characterized and complex band patterns were obtained, indicating high bacterial diversity. A sample of the 16 s rRNA amplicons were sequenced in order to identify the species. The spatial distribution of bacterial taxa in the different soil samples was homogeneous, suggesting a stable and widespread community. Forty-nine isolates from Umm Al-Namil island were identified by comparative analysis of partial 16S rRNA gene sequences. Phylogenetic analysis was carried out in order to study the connection between the isolates to identify species. A large proportion of these isolates represent correspond to known or novel species within the Pseudomonus and Bacillus genera, which are common soil bacteria. Our results provided a reference for future studies to facilitate bacterial identification and ecological research in Kuwait.     

Suitability of partial 16S ribosomal RNA gene sequence analysis for the identification of dangerous bacterial pathogens

AIMS: In a bioterrorism event a rapid tool is needed to identify relevant dangerous bacteria. The aim of the study was to assess the usefulness of partial 16S rRNA gene sequence analysis and the suitability of diverse databases for identifying dangerous bacterial pathogens. METHODS AND RESULTS: For rapid identification purposes a 500-bp fragment of the 16S rRNA gene of 28 isolates comprising Bacillus anthracis, Brucella melitensis, Burkholderia mallei, Burkholderia pseudomallei, Francisella tularensis, Yersinia pestis, and eight genus-related and unrelated control strains was amplified and sequenced. The obtained sequence data were submitted to three public and two commercial sequence databases for species identification. The most frequent reason for incorrect identification was the lack of the respective 16S rRNA gene sequences in the database. CONCLUSIONS: Sequence analysis of a 500-bp 16S rDNA fragment allows the rapid identification of dangerous bacterial species. However, for discrimination of closely related species sequencing of the entire 16S rRNA gene, additional sequencing of the 23S rRNA gene or sequencing of the 16S-23S rRNA intergenic spacer is essential. SIGNIFICANCE AND IMPACT OF THE STUDY: This work provides comprehensive information on the suitability of partial 16S rDNA analysis and diverse databases for rapid and accurate identification of dangerous bacterial pathogens.     

Comparison of 16S rRNA sequencing with conventional and commercial phenotypic techniques for identification of enterococci from the marine environment

AIMS: To compare accuracy of genus and species level identification of presumptive enterococci isolates from the marine environment using conventional biochemical testing, four commercial identification systems and 16S rRNA sequence analysis. METHODS AND RESULTS: Ninety-seven environmental bacterial isolates identified as presumptive enterococci on mEI media were tested using conventional and Enterococcus genus screen biochemical tests, four commercial testing systems and 16S rRNA sequencing. Conventional and Enterococcus genus screen biochemical testing, 16S rRNA sequencing and two commercial test systems achieved an accuracy of > or = 94% for Enterococcus genus confirmation. Conventional biochemical testing and 16S rRNA sequencing achieved an accuracy of > or = 90% for species level identification. CONCLUSIONS: For confirmation of Enterococcus genus from mEI media, conventional or genus screen biochemical testing, 16S rRNA sequencing and the four commercial systems were correct 79-100% of the time. For speciation to an accuracy of 90% or better, either conventional biochemical testing or 16S rRNA sequencing is required. SIGNIFICANCE AND IMPACT OF THE STUDY: Accurate identification of presumptive environmental Enterococcus isolates to genus and species level is an integral part of laboratory quality assurance and further characterization of Enterococcus species from pollution incidents. This investigation determines the ability of six different methods to correctly identify environmental isolates.     

16S rRNA gene sequencing on a benchtop sequencer: accuracy for identification of clinically important bacteria

Aims

Test the choice of 16S rRNA gene amplicon and data analysis method on the accuracy of identification of clinically important bacteria utilizing a benchtop sequencer.

Methods and Results

Nine 16S rRNA amplicons were tested on an Ion Torrent PGM to identify 41 strains of clinical importance. The V1–V2 region identified 40 of 41 isolates to the species level. Three data analysis methods were tested, finding that the Ribosomal Database Project's SequenceMatch outperformed BLAST and the Ion Reporter Metagenomics analysis pipeline. Lastly, 16S rRNA gene sequencing mixtures of four species through a six log range of dilution showed species were identifiable even when present as 0·1% of the mixture.

Conclusions

Sequencing the V1–V2 16S rRNA gene region, made possible by the increased read length Ion Torrent PGM sequencer's 400 base pair chemistry, may be a better choice over other commonly used regions for identifying clinically important bacteria. In addition, the SequenceMatch algorithm, freely available from the Ribosomal Database Project, is a good choice for matching filtered reads to organisms. Lastly, 16S rRNA gene sequencing's sensitivity to the presence of a bacterial species at 0·1% of a mixture suggests it has sufficient sensitivity for samples in which important bacteria may be rare.

Significance and Impact of the Study

We have validated 16S rRNA gene sequencing on a benchtop sequencer including simple mixtures of organisms; however, our results highlight deficits for clinical application in place of current identification methods.     

16S rRNA gene-based phylogenetic microarray for simultaneous identification of members of the genus Burkholderia

For cultivation-independent and highly parallel analysis of members of the genus Burkholderia , an oligonucleotide microarray (phylochip) consisting of 131 hierarchically nested 16S rRNA gene-targeted oligonucleotide probes was developed. A novel primer pair was designed for selective amplification of a 1.3 kb 16S rRNA gene fragment of Burkholderia species prior to microarray analysis. The diagnostic performance of the microarray for identification and differentiation of Burkholderia species was tested with 44 reference strains of the genera Burkholderia , Pandoraea , Ralstonia and Limnobacter . Hybridization patterns based on presence/absence of probe signals were interpreted semi-automatically using the novel likelihood-based strategy of the web-tool PhyloDetect. Eighty-eight per cent of the reference strains were correctly identified at the species level. The evaluated microarray was applied to investigate shifts in the Burkholderia community structure in acidic forest soil upon addition of cadmium, a condition that selected for Burkholderia species. The microarray results were in agreement with those obtained from phylogenetic analysis of Burkholderia 16S rRNA gene sequences recovered from the same cadmium-contaminated soil, demonstrating the value of the Burkholderia phylochip for determinative and environmental studies.     

Identification of species of the genus Legionella using a cloned rRNA gene from Legionella pneumophila

A cloned EcoRI fragment from Legionella pneumophila, which includes 16S and 23S rRNA genes, was used to identify bacteria belonging to the genus Legionella by hybridization to a series of species specific restriction fragments. Examination of the type strains of 28 species of legionellae gave different band patterns in every case. When further isolates of these species were tested the patterns obtained were usually either identical, or very similar, to those of the respective type strains. Thirty-one coded isolates were examined and of these 29 were allocated to the correct species. The remaining strains (a non-Legionella and a L. pneumophila) could not be identified using this technique. The rRNA gene probe method should be of great value in the identification of legionellae, particularly for those species which are at present very difficult to distinguish serologically.     

Comparison of genotypic and biochemical characteristics of Streptococcus thermophilus strains isolated from sour milk products

Overall, 72 strains of lactic acid thermophilic streptococci isolated from sour milk products manufactured in various regions of Russia and European countries were analyzed using classical microbiological and molecular biological methods. Physiological and biochemical properties and genetic diversity of these Streptococcus thermophilus strains were studied, and a comparative analysis of the nucleotide sequences of the 16S rRNA gene was conducted. It has been demonstrated that the homology of proximal parts of the 16S rRNA gene of all the strains studied towards one another and towards the reference strain ATCC19258 amounts to 100%. As for the sugar fermentation, some strains display the characteristics untypical of the S. thermophilus members. The data obtained suggest that it is preferable to use gene 16S rRNA sequencing data for identification of natural isolates of closely related lactic acid bacterial species; moreover, this method is recommended for a precise species identification of industrial bacterial strains used in the food industry.     

Use of 16S-23S rRNA spacer-region (SR)-PCR for identification of intestinal clostridia

The suitability of a species identification technique based on PCR analysis of 16S-23S rRNA spacer region (SR) polymorphism for human intestinal Clostridium species was evaluated. This SR-PCR based technique is highly reproducible and successfully differentiated the strains tested, which included 17 ATCC type strains of Clostridium and 152 human stool Clostridium isolates, at the species or intraspecies level. Ninety-eight of 152 stool isolates, including C. bifermentans, C. butyricum, C. cadaveris, C. orbiscindens, C. paraputrificum, C. pefringens, C. ramosum, C. scindens, C. spiroforme, C. symbiosum and C. tertium, were identified to species level by SR-PCR patterns that were identical to those of their corresponding ATCC type strains. The other 54 stool isolates distributed among ten SR-PCR patterns that are unique and possibly represent ten novel Clostridium species or subspecies. The species identification obtained by SR-PCR pattern analysis completely agreed with that obtained by 16S rRNA sequencing, and led to identification that clearly differed from that obtained by cellular fatty acid analysis for 23/152 strains (15%). These results indicate that SR-PCR provides an accurate and rapid molecular method for the identification of human intestinal Clostridium species.     

RNA polymerase beta subunit (rpoB) gene and the 16S-23S rRNA intergenic transcribed spacer region (ITS) as complementary molecular markers in addition to the 16S rRNA gene for phylogenetic analysis and identification of the species of the family Mycoplasmataceae

Conventional classification of the species in the family Mycoplasmataceae is mainly based on phenotypic criteria, which are complicated, can be difficult to measure, and have the potential to be hampered by phenotypic deviations among the isolates. The number of biochemical reactions suitable for phenotypic characterization of the Mycoplasmataceae is also very limited and therefore the strategy for the final identification of the Mycoplasmataceae species is based on comparative serological results. However, serological testing of the Mycoplasmataceae species requires a performance panel of hyperimmune sera which contains anti-serum to each known species of the family, a high level of technical expertise, and can only be properly performed by mycoplasma-reference laboratories. In addition, the existence of uncultivated and fastidious Mycoplasmataceae species/isolates in clinical materials significantly complicates, or even makes impossible, the application of conventional bacteriological tests. The analysis of available genetic markers is an additional approach for the primary identification and phylogenetic classification of cultivable species and uncultivable or fastidious organisms in standard microbiological laboratories. The partial nucleotide sequences of the RNA polymerase β-subunit gene (rpoB) and the 16S-23S rRNA intergenic transcribed spacer (ITS) were determined for all known type strains and the available non-type strains of the Mycoplasmataceae species. In addition to the available 16S rRNA gene data, the ITS and rpoB sequences were used to infer phylogenetic relationships among these species and to enable identification of the Mycoplasmataceae isolates to the species level. The comparison of the ITS and rpoB phylogenetic trees with the 16S rRNA reference phylogenetic tree revealed a similar clustering patterns for the Mycoplasmataceae species, with minor discrepancies for a few species that demonstrated higher divergence of their ITS and rpoB in comparison to their neighbor species. Overall, our results demonstrated that the ITS and rpoB gene could be useful complementary phylogenetic markers to infer phylogenetic relationships among the Mycoplasmataceae species and provide useful background information for the choice of appropriate metabolic and serological tests for the final classification of isolates. In summary, three-target sequence analysis, which includes the ITS, rpoB, and 16S rRNA genes, was demonstrated to be a reliable and useful taxonomic tool for the species differentiation within the family Mycoplasmataceae based on their phylogenetic relatedness and pairwise sequence similarities. We believe that this approach might also become a valuable tool for routine analysis and primary identification of new isolates in medical and veterinary microbiological laboratories.     

涅斯捷连科氏菌特异性引物PCR分子鉴定

涅斯捷连科氏菌属的建立基于对Micrococcus halobius的再分类,这是一类广泛分布于高盐土壤环境的革兰氏阳性细菌,属放线菌类.在对我国西部盐湖环境放线菌的生物多样性及分类学研究中,大量类似菌株被分离.[目的]为了对其进行快速鉴定,特别是筛选出属于优势类群的涅斯捷连科氏菌,[方法]本研究根据前人以报道的方法设计了一对针对其16S rRNA基因的特异性PCR引物(Nes1/Nes2),[结果]并通过部分典型菌和野生菌株的PCR实验验证,结合16S rRNA基因的测序验证,证明了Nes1/Nes2的PCR反应有效性及其对涅斯捷连科氏菌的特异性.[结论]利用该引物可以快速准确的对涅斯捷连科氏菌进行鉴定.     

Refined identification of Vibrio bacterial flora from Acanthasther planci based on biochemical profiling and analysis of housekeeping genes

We used a polyphasic approach for precise identification of bacterial flora (Vibrionaceae) isolated from crown-of-thorns starfish (COTS) from Lizard Island (Great Barrier Reef, Australia) and Guam (U.S.A., Western Pacific Ocean). Previous 16S rRNA gene phylogenetic analysis was useful to allocate and identify isolates within the Photobacterium, Splendidus and Harveyi clades but failed in the identification of Vibrio harveyi-like isolates. Species of the V harveyi group have almost indistinguishable phenotypes and genotypes, and thus, identification by standard biochemical tests and 16S rRNA gene analysis is commonly inaccurate. Biochemical profiling and sequence analysis of additional topA and mreB housekeeping genes were carried out for definitive identification of 19 bacterial isolates recovered from sick and wild COTS. For 8 isolates, biochemical profiles and topA and mreB gene sequence alignments with the closest relatives (GenBank) confirmed previous 16S rRNA-based identification: V. fortis and Photobacterium eurosenbergii species (from wild COTS), and V natriegens (from diseased COTS). Further phylogenetic analysis based on topA and mreB concatenated sequences served to identify the remaining 11 V harveyi-like isolates: V. owensii and V. rotiferianus (from wild COTS), and V. owensii, V. rotiferianus, and V. harveyi (from diseased COTS). This study further confirms the reliability of topA-mreB gene sequence analysis for identification of these close species, and it reveals a wider distribution range of the potentially pathogenic V. harveyi group.     

Comparison of genotypic and biochemical characteristics of <Emphasis Type="Italic">Streptococcus thermophilus</Emphasis> strains isolated from sour milk products

Overall, 72 strains of lactic acid thermophilic streptococci isolated from sour milk products manufactured in various regions of Russia and European countries were analyzed using classical microbiological and molecular biological methods. Physiological and biochemical properties and genetic diversity of these Streptococcus thermophilus strains were studied, and a comparative analysis of the nucleotide sequences of the 16S rRNA gene was conducted. It has been demonstrated that the homology of proximal parts of the 16S rRNA gene of all the strains studied towards one another and towards the reference strain ATCC19258 amounts to 100%. As for the sugar fermentation, some strains display the characteristics untypical of the S. thermophilus members. The data obtained suggest that it is preferable to use gene 16S rRNA sequencing data for identification of natural isolates of closely related lactic acid bacterial species; moreover, this method is recommended for a precise species identification of industrial bacterial strains used in the food industry.     

青海可可西里嗜碱芽胞杆菌资源调查

【目的】了解可可西里嗜碱芽胞杆菌资源多样性及产酶多样性,为芽胞杆菌功能资源挖掘和菌剂开发提供基础。【方法】采用Horikoshi I培养基,通过可培养法分离青海可可西里土壤中的嗜碱芽胞杆菌,利用16S r RNA基因序列初步鉴定分离获得的芽胞杆菌。采用透明圈法分析分离菌株的产蛋白酶、纤维素酶及木聚糖酶活性。【结果】从青海可可西里土壤中共分离获得66株嗜碱芽胞杆菌,根据16S r RNA基因序列相似性分析,发现它们隶属于6个属22个种,分别为芽胞杆菌属(Bacillus)、纤细芽胞杆菌属(Gracilibacillus)、喜盐芽胞杆菌属(Halobacillus)、咸海鲜芽胞杆菌属(Jeotgalibacillus)、类芽胞杆菌属(Paenibacillus)和嗜冷芽胞杆菌属(Psychrobacillus),其中以芽胞杆菌属(Bacillus)为优势属。2株嗜碱芽胞杆菌与它们最近匹配模式菌株的16S r RNA基因序列相似性为97.00%和98.65%,为潜在新种。三种酶活检测结果表明产酶菌株约占总分离菌株的95.00%,其中55株具有产蛋白酶活性,27株具有产纤维素酶活性,8株能够产木聚糖酶。【结论】青海可可西里蕴藏着较丰富的嗜碱芽胞杆菌资源及丰富的产酶资源,为后续嗜碱芽胞杆菌的挖掘提供理论基础。     

Diversity of culturable actinobacteria isolated from marine sponge <Emphasis Type="Italic">Haliclona</Emphasis> sp.

This study describes actinobacteria isolated from the marine sponge Haliclona sp. collected in shallow water of the South China Sea. A total of 54 actinobacteria were isolated using media selective for actinobacteria. Species diversity and natural product diversity of isolates from marine sponge Haliclona sp. were analysed. Twenty-four isolates were selected on the basis of their morphology on different media and assigned to the phylum Actinobacteria by a combination of 16S rRNA gene based restriction enzymes digestion and 16S rRNA gene sequence analysis. The 16S rRNA genes of 24 isolates were digested by restriction enzymes TaqI and MspI and assigned to different groups according to their restriction enzyme pattern. The phylogenetic analysis based on 16S rRNA gene sequencing showed that the isolates belonged to the genera Streptomyces, Nocardiopsis, Micromonospora and Verrucosispora; one other isolate was recovered that does not belong to known genera based on its unique 16S rRNA gene sequence. To our knowledge, this is the first report of a bacterium classified as Verrucosispora sp. that has been isolated from a marine sponge. The majority of the strains tested belong to the genus Streptomyces and three isolates may be new species. All of the 24 isolates were screened for genes encoding polyketide synthases (PKS) and nonribosomal peptide synthetases (NRPS). PKS and NRPS sequences were detected in more than half of the isolates and the different "PKS-I-PKS-II-NRPS" combinations in different isolates belonging to the same species are indicators of their potential natural product diversity and divergent genetic evolution.     

Partial rpoB gene sequencing for identification of Leptospira species

The usual target for sequence-based identification of Leptospira species is the 16S rRNA gene. However, because the 16S rRNA gene is not polymorphic enough, it is necessary to sequence a 1500 bp segment of this gene for accurate identification. Based on the alignment of previously determined rpoB of three Leptospira strains, we designed and tested a primer pair that enabled us to amplify and sequence a 600 bp segment of Leptospira rpoB. This segment was species-specific for the 16 species tested, but was unable to separate Leptospira interrogans serovars accurately. For the 11 L. interrogans serovars tested, only seven genotypes could be determined. We thus think that analysis of partial rpoB may be useful as an initial screening test for the identification of a new isolate of Leptospira and detection or identification of Leptospira in clinical or environmental samples, but not for serovar determination.     

Characterization of bacteria in ballast water using MALDI-TOF mass spectrometry

To evaluate a rapid and cost-effective method for monitoring bacteria in ballast water, several marine bacterial isolates were characterized by matrix-assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF MS). Since International Maritime Organization (IMO) regulations are concerned with the unintended transportation of pathogenic bacteria through ballast water, emphasis was placed on detecting species of Vibrio, enterococci and coliforms. Seawater samples collected from the North Sea were incubated in steel ballast tanks and the presence of potentially harmful species of Pseudomonas was also investigated. At the genus-level, the identification of thirty six isolates using MALDI-TOF MS produced similar results to those obtained by 16S rRNA gene sequencing. No pathogenic species were detected either by 16S rRNA gene analysis or by MALDI-TOF MS except for the opportunistically pathogenic bacterium Pseudomonas aeruginosa. In addition, in house software that calculated the correlation coefficient values (CCV) of the mass spectral raw data and their variation was developed and used to allow the rapid and efficient identification of marine bacteria in ballast water for the first time.     

Comparison of the Biolog OmniLog Identification System and 16S ribosomal RNA gene sequencing for accuracy in identification of atypical bacteria of clinical origin

The Biolog OmniLog Identification System (Biolog) and the 16S ribosomal RNA (rRNA) gene sequencing methods were compared to conventional microbiological methods and evaluated for accuracy of bacterial identification. These methods were evaluated using 159 clinical isolates. Each isolate was initially identified by conventional biochemical tests and morphological characteristics and subsequently placed into one of seven categories: aerobic Actinomycetes, Bacillus, Coryneforms, fastidious Gram-negative rods (GNR), non-fermenting GNR, miscellaneous Gram-positive rods (GPR), and Vibrio/Aeromonas. After comparison to the conventional identification, the Biolog system and 16S rRNA gene sequence identifications were classified as follows: a) correct to the genus and species levels; b) correct to the genus level only; or c) neither (unacceptable) identification. Overall, 16S rRNA gene sequencing had the highest percent accuracy with 90.6% correct identifications, while the Biolog system identified 68.3% of the isolates correctly. For each category, 16S rRNA gene sequencing had a substantially higher percent accuracy compared to the conventional methods. It was determined that the Biolog system is deficient when identifying organisms in the fastidious GNR category (20.0%). The observed data suggest that 16S rRNA gene sequencing provides a more accurate identification of atypical bacteria than the Biolog system.     

Characterization of Ni-resistant bacteria in the rhizosphere of the hyperaccumulator <Emphasis Type="Italic">Alyssum murale</Emphasis> by 16S rRNA gene sequence analysis

The diversity of 184 isolates from rhizosphere and bulk soil samples taken from the Ni hyperaccumulator Alyssum murale, grown in a Ni-rich serpentine soil, was determined by 16S rRNA gene analysis. Restriction digestion of the 16S rRNA gene was used to identify 44 groups. Representatives of each of these groups were placed within the phyla Proteobacteria, Firmicutes and Actinobacteria by 16S rRNA gene sequence analysis. By combining the 16S rRNA gene restriction data with the gene sequence analysis it was concluded that 44.6% (82/184) of the isolates were placed within the phylum Proteobacteria, among these 35.9% (66/184) were placed within the class α-Proteobacteria, and 20.7% (38/184) had 16S rRNA gene sequences indicative of bacteria within genera that form symbioses with legumes (rhizobia). Of the remaining isolates, 44.6% (82/184) and 5.4% (10/184) were placed within the phyla Actinobacteria and Firmicutes, respectively. No placement was obtained for a small number (10/184) of the isolates. Bacteria of the phyla Proteobacteria and Actinobacteria were the most numerous within the rhizosphere of A. murale and represented 32.1% (59/184) and 42.9% (79/184) of all isolates, respectively. The approach of using 16S rRNA gene sequence analysis in this study has enabled a comprehensive characterization of bacteria that predominate in the rhizosphere of A. murale growing in Ni-contaminated soil.     

Use of a novel multiplex probe array for rapid identification of <Emphasis Type="Italic">Mycobacterium</Emphasis> species from clinical isolates

Conventional identification of mycobacteria is based on the analysis of their phenotypic and biochemical characteristics after culture; thus this method is time-consuming, laborious, and is not always conclusive. Developing a fast and accurate method for rapid identification of Mycobacterium species is in urgent need for early diagnosis of mycobacteriosis and effective patient management. In this study, an efficient and affordable novel multiplex probe array which allows simultaneous identification of 15 medically important mycobacterial species was developed. A pair of genus-specific primers and a set of genus- and species-specific probes were designed according to the conserved and polymorphic regions of the 16S rRNA gene, internal transcribed spacer (ITS) sequence, and 23S rRNA gene of mycobacteria. This probe array was applied for the identification of 78 clinical mycobacterial isolates recovered from Henan, China. The results showed that the specificity and sensitivity of the probe array were 100% for both genus-specific probe and Mycobacterium tuberculosis complex-specific probe. Among 52 isolates of nontuberculous mycobacteria, 43 isolates (82.7%) can be rapidly identified to the species level. Genetic variability of 16S-23S rRNA gene ITS region in M. avium, M. intracellulare, M. chelonae, M. abscessus and M. fortuitum were analyzed. With the accumulation of the sequences of ITS identified and further optimization of probes, the multiplex probe array has the potential to be developed into a practical tool for rapid and accurate identification of mycobacterial species in clinical laboratory.