Yerramilli, P. | Search bioRxiv

bioRxiv2020

Population genomic molecular epidemiological study of macrolide resistant Streptococcus pyogenes in Iceland,1995-2016: Identification of a large clonal population with a pbp2x mutation conferring reduced in vitro beta-lactam susceptibility

Resistance to macrolide antibiotics is a global concern in the treatment of Streptococcus pyogenes (Group A Streptococcus, GAS) infections. In Iceland, since the detection of the first macrolide-resistant isolate in 1998, three epidemic waves of macrolide-resistant GAS infections have occurred with peaks in 1999, 2004, and 2008. We conducted whole genome sequencing of all 1,575 available GAS macrolide-resistant clinical isolates of all infection types collected at the national reference laboratory in Reykjavik from 1998 to 2016. Among 1,515 erythromycin-resistant isolates, 90.3% were of only three emm types: emm4 (n = 713), emm6 (n = 324), and emm12 (n = 332), with each being predominant in a distinct epidemic peak. The antibiotic efflux pump genes, mef(A) and msr(D), were present on chimeric mobile genetic elements in 99.3% of the macrolide-resistant isolates of these emm types. Of note, in addition to macrolide resistance, virtually all emm12 isolates had a single amino acid substitution in penicillin-binding protein PBP2X that conferred a two-fold increased penicillin G and ampicillin MIC among isolates tested. We conclude that each of the three large epidemic peaks of macrolide-resistant GAS infections occurring in Iceland since 1998 was caused by the emergence and clonal expansion of progenitor strains, with macrolide resistance being conferred predominantly by inducible Mef(A)-Msr(D) drug efflux pumps. The occurrence of emm12 strains with macrolide resistance and decreased beta-lactam susceptibility was unexpected and is of public health concern. RepositoriesGenomic sequencing data for all 1,515 macrolide/erythromycin-resistant isolates were deposited into the National Center for Biotechnology Information Sequence Read Archive under bioproject accession PRJNA614628 and assembled sequences for composite elements {Phi}29854, {Phi}29862 and {Phi}29661 were deposited in Genbank under accessions ###, ### and ### respectively.

genomics↗

bioRxiv2020

Molecular Architecture of Early Dissemination and Evolution of the SARS-CoV-2 Virus in Metropolitan Houston, Texas

We sequenced the genomes of 320 SARS-CoV-2 strains from COVID-19 patients in metropolitan Houston, Texas, an ethnically diverse region with seven million residents. These genomes were from the viruses causing infections in the earliest recognized phase of the pandemic affecting Houston. Substantial viral genomic diversity was identified, which we interpret to mean that the virus was introduced into Houston many times independently by individuals who had traveled from different parts of the country and the world. The majority of viruses are apparent progeny of strains derived from Europe and Asia. We found no significant evidence of more virulent viral types, stressing the linkage between severe disease, underlying medical conditions, and perhaps host genetics. We discovered a signal of selection acting on the spike protein, the primary target of massive vaccine efforts worldwide. The data provide a critical resource for assessing virus evolution, the origin of new outbreaks, and the effect of host immune response. SignificanceCOVID-19, the disease caused by the SARS-CoV-2 virus, is a global pandemic. To better understand the first phase of virus spread in metropolitan Houston, Texas, we sequenced the genomes of 320 SARS-CoV-2 strains recovered from COVID-19 patients early in the Houston viral arc. We identified no evidence that a particular strain or its progeny causes more severe disease, underscoring the connection between severe disease, underlying health conditions, and host genetics. Some amino acid replacements in the spike protein suggest positive immune selection is at work in shaping variation in this protein. Our analysis traces the early molecular architecture of SARS-CoV-2 in Houston, and will help us to understand the origin and trajectory of future infection spikes.

genetics↗