Chrome Extension
WeChat Mini Program
Use on ChatGLM

MRSA strains with distinct accessory genes predominate at different ages in cystic fibrosis

PEDIATRIC PULMONOLOGY(2021)

Cited 5|Views17
No score
Abstract
Rationale Methicillin resistant Staphylococcus aureus (MRSA) is prevalent and consequential in cystic fibrosis (CF). Whole genome sequencing (WGS) could reveal genomic differences in MRSA associated with poorer outcomes or detect MRSA transmission. Objectives To identify MRSA genes associated with low lung function and potential MRSA transmission in CF. Methods We collected 97 MRSA isolates from 74 individuals with CF from 2017 and performed short-read WGS. We determined sequence type (ST) and the phylogenetic relationship between isolates. We aligned accessory genes from 25 reference genomes to genome assemblies, classified isolates by accessory gene content, and correlated the accessory genome to clinical outcomes. Results The most prevalent ST were ST5 (N = 55), ST8 (N = 15), and ST105 (N = 14). Closely related MRSA strains were shared by family members with CF, but rarely between unrelated individuals. Three clusters of MRSA were identified by accessory genome content. Cluster A, including ST5 and ST105, was highly prevalent at all ages. Cluster B, including ST8, was more limited to younger patients. Cluster C included 6 distantly related strains. Patients 20 years old and younger infected with Cluster A had lower forced expiratory volume in the first second (FEV1) and higher sputum biomass compared to similar-aged patients with Cluster B. Conclusions In this CF cohort, we identified MRSA subtypes that predominate at different ages and differ by accessory gene content. The most prevalent cluster of MRSA, including ST5 and ST105, was associated with lower FEV1. ST8 MRSA was more common in younger patients and thus has the potential to rise in prevalence as these patients age.
More
Translated text
Key words
birth cohort effect,cystic fibrosis,MRSA,Staphylococcus aureus,whole genome sequencing
AI Read Science
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper
Chat Paper
Summary is being generated by the instructions you defined