Performance Characteristics of a High-Throughput Automated Transcription-Mediated Amplification Test for SARS-CoV-2 Detection.

The COVID-19 pandemic caused by the new SARS-CoV-2 coronavirus has imposed severe challenges on laboratories in their effort to achieve sufficient diagnostic testing capability for identifying infected individuals. In this study, we report the analytical and clinical performance characteristics of a new, high-throughput, fully automated nucleic acid amplification test system for the detection of SARS-CoV-2. The assay utilizes target capture, transcription-mediated amplification, and acridinium ester-labeled probe chemistry on the automated Panther system to directly amplify and detect two separate target sequences in the open reading frame 1ab (ORF1ab) region of the SARS-CoV-2 RNA genome. The probit 95% limit of detection of the assay was determined to be 0.004 50% tissue culture infective dose (TCID50)/ml using inactivated virus and 25 copies/ml (c/ml) using synthetic in vitro transcript RNA targets. Analytical sensitivity (100% detection) was confirmed to be 83 to 194 c/ml using three commercially available SARS-CoV-2 nucleic acid controls. No cross-reactivity or interference was observed with testing of six related human coronaviruses, as well as 24 other viral, fungal, and bacterial pathogens, at high titers. Clinical nasopharyngeal swab specimen testing (n = 140) showed 100%, 98.7%, and 99.3% positive, negative, and overall agreement, respectively, with a validated reverse transcription-PCR nucleic acid amplification test (NAAT) for SARS-CoV-2 RNA. These results provide validation evidence for a sensitive and specific method for pandemic-scale automated molecular diagnostic testing for SARS-CoV-2.

Description of an unusual Neisseria meningitidis isolate containing and expressing Neisseria gonorrhoeae-Specific 16S rRNA gene sequences.

An apparently rare Neisseria meningitidis isolate containing one copy of a Neisseria gonorrhoeae 16S rRNA gene is described herein. This isolate was identified as N. meningitidis by biochemical identification methods but generated a positive signal with Gen-Probe Aptima assays for the detection of Neisseria gonorrhoeae. Direct 16S rRNA gene sequencing of the purified isolate revealed mixed bases in signature regions that allow for discrimination between N. meningitidis and N. gonorrhoeae. The mixed bases were resolved by sequencing individually PCR-amplified single copies of the genomic 16S rRNA gene. A total of 121 discrete sequences were obtained; 92 (76%) were N. meningitidis sequences, and 29 (24%) were N. gonorrhoeae sequences. Based on the ratio of species-specific sequences, the N. meningitidis strain seems to have replaced one of its four intrinsic 16S rRNA genes with the gonococcal gene. Fluorescence in situ hybridization (FISH) probes specific for meningococcal and gonococcal rRNA were used to demonstrate the expression of the rRNA genes. Interestingly, the clinical isolate described here expresses both N. meningitidis and N. gonorrhoeae 16S rRNA genes, as shown by positive FISH signals with both probes. This explains why the probes for N. gonorrhoeae in the Gen-Probe Aptima assays cross-react with this N. meningitidis isolate. The N. meningitidis isolate described must have obtained N. gonorrhoeae-specific DNA through interspecies recombination.

Targeted access to the genomes of low-abundance organisms in complex microbial communities.

Current metagenomic approaches to the study of complex microbial consortia provide a glimpse into the community metabolism and occasionally allow genomic assemblies for the most abundant organisms. However, little information is gained for the members of the community present at low frequencies, especially those representing yet-uncultured taxa, which include the bulk of the diversity present in most environments. Here we used phylogenetically directed cell separation by fluorescence in situ hybridization and flow cytometry, followed by amplification and sequencing of a fraction of the genomic DNA of several bacterial cells that belong to the TM7 phylum. Partial genomic assembly allowed, for the first time, a look into the evolution and potential metabolism of a soil representative from this group of organisms for which there are no species in stable laboratory cultures. Genomic reconstruction from targeted cells of uncultured organisms isolated directly from the environment represents a powerful approach to access any specific members of a community and an alternative way to assess the community's metabolic potential.

High-throughput cultivation of microorganisms using microcapsules.

This chapter describes a universal and novel method that provides access to the immense reservoir of untapped microbial diversity by cultivation. This technique uses microcapsules to encapsulate single cells combined with parallel microbial cultivation under low nutrient flux conditions. Under these conditions, single encapsulated cells grow and form microcolonies within the microcapsules. Flow cytometry is used as a sensitive tool to detect growth within the microcapsules. Microcapsules that contain microcolonies (originated from a single encapsulated cell) are sorted individually into microtiter dishes containing organic-rich medium. This high-throughput cultivation can provide more than 10,000 bacterial and fungal isolates per environmental sample.

Evolutionary history of the genus Listeria and its virulence genes.

The genus Listeria contains the two pathogenic species Listeria monocytogenes and Listeria ivanovii and the four apparently apathogenic species Listeria innocua, Listeria seeligeri, Listeria welshimeri, and Listeria grayi. Pathogenicity of the former two species is enabled by an approximately 9 kb virulence gene cluster which is also present in a modified form in L. seeligeri. For all Listeria species, the sequence of the virulence gene cluster locus and its flanking regions was either determined in this study or assembled from public databases. Furthermore, some virulence-associated internalin loci were compared among the six species. Phylogenetic analyses were performed on a data set containing the sequences of prs, ldh, vclA, and vclB (all directly flanking the virulence gene cluster), as well as the iap gene and the 16S and 23S-rRNA coding genes which are located at different sites in the listerial chromosomes. L. grayi represents the deepest branch within the genus. The remaining five species form two groupings which have a high bootstrap support and which are consistently found by using different treeing methods. One lineage represents L. monocytogenes and L. innocua, while the other contains L. welshimeri, L. ivanovii and L. seeligeri, with L. welshimeri forming the deepest branch. Based on this perception, we tried to reconstruct the evolution of the virulence gene cluster. Since no traces of lateral gene transfer events could be detected the most parsimonious scenario is that the virulence gene cluster was present in the common ancestor of L. monocytogenes, L. innocua, L. ivanovii, L. seeligeri and L. welshimeri and that the pathogenic capability has been lost in two separate events represented by L. innocua and L. welshimeri. This hypothesis is also supported by the location of the putative deletion breakpoints of the virulence gene cluster within L. innocua and L. welshimeri.

Characterization of activated sludge flocs by confocal laser scanning microscopy and image analysis.

In this study we present a new approach to determine volumes, heterogeneity factors, and compositions of the bacterial population of activated sludge flocs by 3D confocal imaging. After staining the fresh flocs with fluorescein-isothiocyanate, 75 stacks of images (containing approx. 3000 flocs) were acquired with a confocal laser scanning microscope. The self-developed macro 3D volume and surface determination for the KS 400 software package combined the images of one stack to a 3D image and calculated the real floc volume and surface. We determined heterogeneity factors like the ratio of real floc surface to the surface of a sphere with the respective volume and the fractal dimension (D(f)). According to their significant influence on floc integrity and quality, we also investigated the chemical composition of flocs and quantified their bacterial population structure by using group-specific rRNA-targeted probes for fluorescence in situ hybridization. By a settling experiment we enriched flocs with poor settling properties and determined the above-mentioned parameters. This approach revealed shifts in floc volume, heterogeneity, and bacterial and chemical composition according to the settling quality of the flocs.

Nucleic acid-based, cultivation-independent detection of Listeria spp and genotypes of L monocytogenes.

Based on comparative analysis of 16S rRNA gene sequences, two oligonucleotide probes for in situ detection of all members of the genus Listeria were designed. These probes allowed fast and reliable in situ detection of Listeria spp. even in complex samples like raw milk. Almost full-length iap (invasion-associated protein) gene sequences were determined for 69 Listeria monocytogenes strains of all 13 known serotypes. A comparison of these sequences revealed that the L. monocytogenes strains can be grouped into three distinct genotypes. These clusters correlate well with distinct serotypes. Thus, strains of serotypes b and d belong to genotype I, a and c to genotype II, and 4a and 4c, which are rarely isolated from humans, group together within genotype III. These results could be corroborated by further comparative sequence analysis of genes encoding two phospholipases - plcA and plcB. Based on the iap gene sequences, a highly specific and reproducible competitive PCR detection method was developed. Primer pairs targeting genotype-specific regions of the iap gene were designed. The amplification of non-specific PCR products from DNA of non-target strains was prevented by adding competitive primers. By applying this method, the rapid and reliable distinction of the three L. monocytogenes genotypes was possible.