Clonal Distribution of Clindamycin-Resistant Erythromycin-Susceptible (CRES) Streptococcus agalactiae in Korea Based on Whole Genome Sequences

BACKGROUND

The clindamycin-resistant erythromycin-susceptible (CRES) phenotype is rare in Streptococcus agalactiae (group B streptococci). We aimed to determine the molecular characteristics of CRES S. agalactiae using whole genome sequencing (WGS).

METHODS

Sixty-six S. agalactiae isolates obtained from blood (N=26), cerebrospinal fluid (N=10), urine (N=17), and vaginal discharge (N=13) between 2010 and 2017 in Korea were subjected to WGS. Based on the WGS data, we analyzed antimicrobial resistance (AMR) determinants, sequence types (STs), capsular polysaccharide (CPS) genotypes, and virulence gene profiles, and constructed a phylogenetic tree. We included the clindamycin-susceptible erythromycin-resistant (CSER) phenotype for comparison.

RESULTS

We identified seven CRES S. agalactiae isolates from urine (N=5) and vaginal discharge (N=2) collected between 2010 and 2011. All CRES isolates harbored AMR determinants of lnu(B), lsa(E), and aac(6')-aph(2″), revealed ST19 and CPS genotype III, and had a virulence gene profile of rib-lmb-cylE. Phylogenetic tree analysis revealed that all CRES isolates belonged to the same cluster, suggesting a clonal distribution. In contrast, seven CSER isolates showed a diverse distribution and clustered separately from the CRES isolates.

CONCLUSIONS

CRES isolates collected between 2010 and 2011 showed a unique cluster with ST19 and CPS genotype III in Korea. This is the first report on WGS-based characteristics of S. agalactiae in Korea.

High-Throughput Mapping and Clonal Quantification of Retroviral Integration Sites

We describe here a method to identify the position of retroviral insertion sites and simultaneously to quantify the absolute abundance of each clone, i.e., the number of cells having the provirus inserted at a given place in the host genome. The method is based on random shearing of the host cell DNA, followed by a linker-mediated PCR to amplify the genomic regions flanking the proviruses, and high-throughput sequencing of the amplicons. The quantification of the abundance of each infected clone allowed us to develop two new metrics: i. the oligoclonality index, which quantifies the nonuniformity of the distribution of clone abundance, and ii. an estimator of the total number of clones in the body of the host. These new tools are valuable for the study of retroviral infections and can also be adapted for the tracking of gene-edited cells.