The use of the 16S rRNA gene for identification of nontuberculous mycobacteria (NTM) provides a faster and better ability to accurately identify them in addition to contributing significantly in the discovery of new species. Despite their associated problems, many rely on the use of public sequence databases for sequence comparisons. To best evaluate the taxonomic status of NTM species submitted to our reference laboratory, we have created a 16S rRNA sequence database by sequencing 121 American Type Culture Collection strains encompassing 92 species of mycobacteria, and have also included chosen unique mycobacterial sequences from public sequence repositories. In addition, the Ribosomal Differentiation of Medical Microorganisms (RIDOM) service has made freely available on the Internet mycobacterial identification by 16S rRNA analysis. We have evaluated 122 clinical NTM species using our database, comparing >1,400 bp of the 16S gene, and the RIDOM database, comparing ϳ440 bp. The breakdown of analysis was as follows: 61 strains had a sequence with 100% similarity to the type strain of an established species, 19 strains showed a 1-to 5-bp divergence from an established species, 11 strains had sequences corresponding to uncharacterized strain sequences in public databases, and 31 strains represented unique sequences. Our experience with analysis of the 16S rRNA gene of patient strains has shown that clear-cut results are not the rule. As many clinical, research, and environmental laboratories currently employ 16S-based identification of bacteria, including mycobacteria, a freely available quality-controlled database such as that provided by RIDOM is essential to accurately identify species or detect true sequence variations leading to the discovery of new species.The notion that sequence-based methodologies will take their place in routine clinical laboratories is an increasing reality. The initial cost of equipment, i.e., automated sequencers, can quickly be recovered with savings in personnel, time, and ultimately in health care costs. Laboratories are beginning to rely more on genotypic characterization, which is more specific and easier to standardize than conventional tests (14).Leaders in the field of diagnostic mycobacteriology acknowledge the need for advanced methods for more accurate identification of mycobacteria to the species level (36,39,44). The number of members within the genus is highly underestimated, and of the 92 currently established species, as listed in J. P. Euzéby's: "List of bacterial names with standing in nomenclature" (http://www.bacterio.cict.fr/m/mycobacterium.html), many are considered potentially pathogenic. Biochemical characteristics have been well established for the most well-known Mycobacterium species, but with a rapid increase of newly described species, this becomes more and more complex, difficult, and perhaps obsolete. Also, many species that are biochemically inert or extremely slow growing contribute further to these problems.The 16S rRNA gene is the most widely accepte...

The Mycobacterium avium complex consists of epidemiologically distinct subsets. The classification of these subsets is complicated by a number of factors, including the ambiguous results obtained with phenotypic and genetic assays and the recent appreciation that human and avian strains appear to be distinct. In previous work, sequencing based on a 441-bp portion of the hsp65 gene has proven to efficiently classify isolates within the Mycobacterium genus but provides low resolution for distinguishing among members of the M. avium complex. Therefore, in this study, we have targeted the more variable 3 region of the hsp65 gene to determine whether it can effectively discriminate M. avium complex isolates at the levels of species and subspecies. Primers designed for this target consistently generated amplicons for all organisms classified as M. avium complex. Sequences obtained indicate that M. intracellulare is genetically divergent from M. avium organisms, and distinct sequevars were obtained for M. avium subsets, including M. avium subsp. avium (bird type), M. avium subsp. hominissuis, and M. avium subsp. paratuberculosis. In addition, sequence differences served to distinguish bovine from ovine strains of M. avium subsp. paratuberculosis. A unique profile for M. avium subsp. silvaticum was not obtained. These results indicate that sequencing the 3 region of the hsp65 gene can simply and unambiguously distinguish species and subspecies of the M. avium complex.

Invasive fungal disease often plays an important role in the morbidity and mortality of immunocompromised patients. The poor sensitivity of current fungal blood culture and histological practices has led to the development of highly sensitive and specific molecular techniques, such as the PCR. Sequence variability of the internal transcribed spacer 2 (ITS2) region of fungi is potentially useful in rapid and accurate diagnosis of clinical fungal isolates. PCR with fungus-specific primers targeted toward conserved sequences of the 5.8S and 28S ribosomal DNA (rDNA) results in amplification of the species-specific ITS2 regions, which are variable in amplicon length. We have made use of the ABI PRISM 310 genetic analyzer and the ABI PRISM 310 GeneScan analysis software for the determination of variable size differences of the ITS2 region of clinically important fungi, including Candida and non-Candida yeasts,Aspergillus species, and a variety of dermatophytes. No cross-reaction occurred when samples were tested against human and bacterial genomic DNA. We have found that most clinically significant fungal isolates can be differentiated by this method, and it therefore serves to be a promising tool for the rapid (<7 h) diagnosis of fungemia and other invasive fungal infections.

SUMMARY The past several years have witnessed an upsurge of genomic data pertaining to the Mycobacterium avium complex (MAC). Despite clear advances, problems with the detection of MAC persist, spanning the tests that can be used, samples required for their validation, and the use of appropriate nomenclature. Additionally, the amount of genomic variability documented to date greatly outstrips the functional understanding of epidemiologically different subsets of the organism. In this review, we discuss how postgenomic insights into the MAC have helped to clarify the relationships between MAC organisms, highlighting the distinction between environmental and pathogenic subsets of M. avium. We discuss the availability of various genetic targets for accurate classification of organisms and how these results provide a framework for future studies of MAC variability. The results of postgenomic M. avium study provide optimism that a functional understanding of these organisms will soon emerge, with genomically defined subsets that are epidemiologically distinct and possess different survival mechanisms for their various niches. Although the status quo has largely been to study different M. avium subsets in isolation, it is expected that attention to the similarities and differences between M. avium organisms will provide greater insight into their fundamental differences, including their propensity to cause disease.

Mycobacterium avium comprises organisms that share the same species designation despite considerable genomic and phenotypic variability. To determine the degree and nature of variability between subspecies and strains of M. avium, we used multilocus sequencing analysis, studying 56 genetically diverse strains of M. avium that included all described subspecies. In total, 8,064 bp of sequence from 10 gene loci were studied, with 205 (2.5%) representing variable positions. The majority (149/205) of these variations were found among M. avium subsp. hominissuis organisms. Recombination was also evident in this subspecies. In contrast, there was comparatively little variability and no evidence of recombination within the pathogenic subspecies, M. avium subsp. paratuberculosis, M. avium subsp. avium, and M. avium subsp. silvaticum. Phylogenetic analysis showed that M. avium subsp. avium and M. avium subsp. silvaticum strains clustered together on one branch, while a distinct branch defined M. avium subsp. paratuberculosis organisms. Despite the independent origin of these pathogenic subspecies, an analysis of their rates of nonsynonymous (dN) to synonymous (dS) substitutions showed increased dN/dS ratios for both: 0.67 for M. avium subsp. paratuberculosis and 0.50 for M. avium subsp. avium/M. avium subsp. silvaticum, while the value was 0.08 for M. avium subsp. hominissuis organisms. In conclusion, M. avium subsp. hominissuis represents a diverse group of organisms from which two pathogenic clones (M. avium subsp. paratuberculosis and M. avium subsp. avium/M. avium subsp. silvaticum) have evolved independently.

Current methods for identification of Mycobacterium spp. rely upon time-consuming phenotypic tests, mycolic acid analysis, and narrow-spectrum nucleic acid probes. Newer approaches include PCR and sequencing technologies. We evaluated the MicroSeq 500 16S ribosomal DNA (rDNA) bacterial sequencing kit (Applied Biosystems, Foster City, Calif.) for its ability to identify Mycobacterium isolates. The kit is based on PCR and sequencing of the first 500 bp of the bacterial rRNA gene. One hundred nineteen mycobacterial isolates (94 clinical isolates and 25 reference strains) were identified using traditional phenotypic methods and the MicroSeq system in conjunction with separate databases. The sequencing system gave 87% (104 of 119) concordant results when compared with traditional phenotypic methods. An independent laboratory using a separate database analyzed the sequences of the 15 discordant samples and confirmed the results. The use of 16S rDNA sequencing technology for identification of Mycobacterium spp. provides more rapid and more accurate characterization than do phenotypic methods. The MicroSeq 500 system simplifies the sequencing process but, in its present form, requires use of additional databases such as the Ribosomal Differentiation of Medical Microorganisms (RIDOM) to precisely identify subtypes of type strains and species not currently in the MicroSeq library.

BackgroundIn the past decade, the availability of complete genome sequence data has greatly facilitated comparative genomic research aimed at addressing genetic variability within species. More recently, analysis across species has become feasible, especially in genera where genome sequencing projects of multiple species have been initiated. To understand the genesis of the pathogen Mycobacterium tuberculosis within a genus where the majority of species are harmless environmental organisms, we have used genome sequence data from 16 mycobacteria to look for evidence of horizontal gene transfer (HGT) associated with the emergence of pathogenesis. First, using multi-locus sequence analysis (MLSA) of 20 housekeeping genes across these species, we derived a phylogeny that serves as the basis for HGT assignments. Next, we performed alignment searches for the 3989 proteins of M. tuberculosis H37Rv against 15 other mycobacterial genomes, generating a matrix of 59835 comparisons, to look for genetic elements that were uniquely found in M. tuberculosis and closely-related pathogenic mycobacteria. To assign when foreign genes were likely acquired, we designed a bioinformatic program called mycoHIT (mycobacterial homologue investigation tool) to analyze these data in conjunction with the MLSA-based phylogeny.ResultsThe bioinformatic screen predicted that 137 genes had been acquired by HGT at different phylogenetic strata; these included genes coding for metabolic functions and modification of mycobacterial lipids. For the majority of these genes, corroborating evidence of HGT was obtained, such as presence of phage or plasmid, and an aberrant GC%.ConclusionM. tuberculosis emerged through vertical inheritance along with the step-wise addition of genes acquired via HGT events, a process that may more generally describe the evolution of other pathogens.

Mycobacterium avium comprises genetically related yet phenotypically distinct subspecies. Consistent with their common origin, whole-genome sequence comparisons have revealed extensive synteny among M. avium organisms. However, the sequenced strains also display numerous regions of heterogeneity that likely contribute to the diversity of the individual subspecies. Starting from a phylogenetic framework derived by multilocus sequence analysis, we examined the distribution of 25 large sequence polymorphisms across a panel of genetically defined M. avium strains. This distribution was most variable among M. avium subsp. hominissuis isolates. In contrast, M. avium subsp. paratuberculosis strains exhibited a characteristic profile, with all isolates containing a set of genomic insertions absent from other M. avium strains. The emergence of the pathogen from its putative M. avium subsp. hominissuis ancestor entailed the acquisition of approximately 125 kb of novel genetic material, followed by a second phase, characterized by reductive genomics. One genomic deletion is common to all isolates while additional deletions distinguish two major lineages of M. avium subsp. paratuberculosis. For the average strain, these losses total at least 38 kb (sheep lineage) to 90 kb (cattle lineage). This biphasic pattern of evolution, characterized by chromosomal gene acquisition with subsequent gene loss, describes the emergence of M. avium subsp. paratuberculosis and may serve as a general model for the origin of pathogenic mycobacteria.Mycobacterium avium organisms are nontuberculous mycobacteria prevalent in environmental and clinical settings. M. avium infections result in diverse diseases, including avian tuberculosis, Johne's disease, and Lady Windermere's syndrome. Isolates are phenotypically different and were historically classified as separate species. However, current taxonomy, based on molecular analyses, recognizes a single species, M. avium, which is divided into distinct subgroups (21,22).At present, M. avium subsp. hominissuis denotes environmental organisms associated with opportunistic infections in humans and swine (13,23). M. avium subsp. avium is the classical agent of tuberculosis in birds and, along with M. avium subsp. silvaticum, represents a distinct lineage of bird pathogens (22). M. avium subsp. paratuberculosis causes Johne's disease (Paratuberculosis), a chronic granulomatous intestinal disease (5). Although primarily associated with livestock, the bacterium may infect a wide range of mammalian hosts. A number of studies, using molecular testing for the M. avium subsp. paratuberculosis-specific insertion element IS900, have found an association between the presence of M. avium subsp. paratuberculosis and Crohn's disease in humans (1, 9).Previous studies, including bigenomic comparisons of the sequenced strains M. avium subsp. hominissuis 104 and M. avium subsp. paratuberculosis K-10 (11), have revealed interand intrasubspecies differences (6,12,15,16,18,19,26). The phenotypic heterogeneity of M. avium s...