Next-generation whole genome sequencing identifies the direction of norovirus transmission in linked patients.

BACKGROUND: Noroviruses are a highly transmissible and major cause of nosocomial gastroenteritis resulting in bed and hospital-ward closures. Where hospital outbreaks are suspected, it is important to determine the routes of spread so that appropriate infection-control procedures can be implemented. To investigate a cluster of norovirus cases occurring in children undergoing bone marrow transplant, we undertook norovirus genome sequencing by next-generation methods. Detailed comparison of sequence data from 2 linked cases enabled us to identify the likely direction of spread. METHODS: Norovirus complementary DNA was amplified by overlapping polymerase chain reaction (PCR) from 13 stool samples from 5 diagnostic real-time PCR-positive patients. The amplicons were sequenced by Roche 454, the genomes assembled by de novo assembly, and the data analyzed phylogenetically. RESULTS: Phylogenetic analysis indicated that patients were infected by viruses similar to 4 distinct GII.4 subtypes and 2 patients were linked by the same virus. Of the 14 sites at which there were differences between the consensus sequences of the 2 linked viral genomes, 9 had minor variants present within one or the other patient. Further analysis confirmed that minor variants at all 9 sites in patient B w ere present as the consensus sequence in patient A. CONCLUSIONS: Phylogenetic analysis excluded a common source of infection in this apparent outbreak. Two of 3 patients on the same ward had closely related viruses, raising the possibility of cross-infection despite protective isolation. Analysis of deep sequencing data enabled us to establish the likely direction of nosocomial transmission.

Streptococcus pseudopneumoniae identification by pherotype: a method to assist understanding of a potentially emerging or overlooked pathogen.

The recent identification of Streptococcus pseudopneumoniae (pseudopneumococcus) has complicated classification schemes within members of the "mitis" streptococcal group. Accurate differentiation of this species is necessary for understanding its disease potential and identification in clinical settings. This work described the use of the competence-stimulatory peptide ComC sequence for identification of S. pseudopneumoniae. ComC sequences from clinical sources were determined for 17 strains of S. pseudopneumoniae, Streptococcus pneumoniae, and Streptococcus oralis. An additional 58 ComC sequences from a range of sources were included to understand the diversity and suitability of this protein as a diagnostic marker for species identification. We identified three pherotypes for this species, delineated CSP6.1 (10/14, 79%), CSP6.3 (3/14, 21%), and SK674 (1/14, 7%). Pseudopneumococcal ComC sequences formed a discrete cluster within those of other oral streptococci. This suggests that the comC sequence could be used to identify S. pseudopneumoniae, thus simplifying the study of the pathogenic potential of this organism. To avoid confusion between pneumococcal and pseudopneumococcal pherotypes, we have renamed the competence pherotype CSP6.1, formerly reported as an "atypical" pneumococcus, CSPps1 to reflect its occurrence in S. pseudopneumoniae.

Detection and identification of bacteria in clinical samples by 16S rRNA gene sequencing: comparison of two different approaches in clinical practice.

Amplification and sequence analysis of the 16S rRNA gene can be applied to detect and identify bacteria in clinical samples. We examined 75 clinical samples (17 culture-positive, 58 culture-negative) prospectively by two different PCR protocols, amplifying either a single fragment (1343 bp) or two fragments (762/598 bp) of the 16S rRNA gene. The 1343 bp PCR and 762/598 bp PCRs detected and identified the bacterial 16S rRNA gene in 23 (31 %) and 38 (51 %) of the 75 samples, respectively. The 1343 bp PCR identified 19 of 23 (83 %) PCR-positive samples to species level while the 762/598 bp PCR identified 14 of 38 (37 %) bacterial 16S rRNA gene fragments to species level and 24 to the genus level only. Amplification of shorter fragments of the bacterial 16S rRNA gene (762 and 598 bp) resulted in a more sensitive assay; however, analysis of a large fragment (1343 bp) improved species discrimination. Although not statistically significant, the 762/598 bp PCR detected the bacterial 16S rRNA gene in more samples than the 1343 bp PCR, making it more likely to be a more suitable method for the primary detection of the bacterial 16S rRNA gene in the clinical setting. The 1343 bp PCR may be used in combination with the 762/598 bp PCR when identification of the bacterial rRNA gene to species level is required.