Integrative genomic, virulence, and transcriptomic analysis of emergent <i>Streptococcus dysgalactiae</i> subspecies <i>equisimilis</i> (SDSE) <i>emm</i> type <i>stG62647</i> isolates causing human infections

This study integrated genomic sequencing, mouse virulence assays, and bacterial transcriptomic analysis to advance our understanding of the molecular mechanisms contributing to <i>Streptococcus dysgalactiae</i> subsp. <i>equisimilis emm</i> type <i>stG62647</i> pathogenesis. We tested a large cohort of genetically closely related <i>stG62647</i> isolates for virulence using an established mouse model of necrotizing myositis and discovered a broad spectrum of virulence phenotypes, with near-mortality rates ranging from 20% to 95%. This variation was unexpected, given their close genetic proximity. Transcriptome analysis of <i>stG62647</i> isolates responsible for the lowest and highest near-mortality rates suggested that these isolates used multiple molecular pathways to alter their virulence. In addition, some genes encoding transcriptional regulators and putative virulence factors likely contribute to SDSE <i>emm</i> type <i>stG62647</i> pathogenesis. These data underscore the complexity of pathogen-host interactions in an emerging SDSE clonal group.

Authors

Institutions

Publication Details

Journal
mBio
Published
2024-10-17
DOI
https://doi.org/10.1128/mbio.02578-24
Citations
6
Primary Topic
Streptococcal Infections and Treatments
Type
article
Field-Weighted Citation Impact
3.26

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Integrative genomic, virulence, and transcriptomic analysis of emergent Streptococcus dysgalactiae subspecies equisimilis (SDSE) emm type stG62647 isolates causing human infections

Sarrah Boukthir, S. Wesley Long, James M. Musser, Jesus M. Eraso et al.
6 citations
mBio
Streptococcal Infections and Treatments
3.26
article

Integrative genomic, virulence, and transcriptomic analysis of emergent Streptococcus dysgalactiae subspecies equisimilis (SDSE) emm type stG62647 isolates causing human infections

Sarrah Boukthir, S. Wesley Long, James M. Musser, Jesus M. Eraso, Samer Kayal, Ryan Gadd, Ahmad Faili, Randall J. Olsen
article en
6 citations

Abstract

This study integrated genomic sequencing, mouse virulence assays, and bacterial transcriptomic analysis to advance our understanding of the molecular mechanisms contributing to <i>Streptococcus dysgalactiae</i> subsp. <i>equisimilis emm</i> type <i>stG62647</i> pathogenesis. We tested a large cohort of genetically closely related <i>stG62647</i> isolates for virulence using an established mouse model of necrotizing myositis and discovered a broad spectrum of virulence phenotypes, with near-mortality rates ranging from 20% to 95%. This variation was unexpected, given their close genetic proximity. Transcriptome analysis of <i>stG62647</i> isolates responsible for the lowest and highest near-mortality rates suggested that these isolates used multiple molecular pathways to alter their virulence. In addition, some genes encoding transcriptional regulators and putative virulence factors likely contribute to SDSE <i>emm</i> type <i>stG62647</i> pathogenesis. These data underscore the complexity of pathogen-host interactions in an emerging SDSE clonal group.

mBioVol. 15(11)
Houston Methodist (US), Inserm (FR), Cornell University (US), Oncogenesis Stress Signaling (FR), Methodist Hospital (US), CIC Rennes (FR), Centre Hospitalier Universitaire de Rennes (FR), Université de Rennes (FR)
Fondren Foundation, National Institute of Allergy and Infectious Diseases
Good health and well-being
Openalex Percentile: Top 8%
Streptococcal Infections and Treatments
3.26
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.