Genome-based model for differentiating between infection and carriage <i>Staphylococcus aureus</i>

Defining the disease-causing isolates is the first step toward disease control. However, the disease-associated genetic elements of <i>Staphylococcus aureus</i> remain unknown, which leads to difficulties in differentiating infection isolates from harmless carriage isolates. Our comprehensive genome-wide association study (GWAS) found consensus evidence that certain genetic elements are overrepresented among infection isolates than carriage isolates, suggesting that the enrichment of disease-associated elements may promote infection. Notably, a single k-mer predictor achieved a high classification accuracy, which forms the basis for early diagnostics and interventions.

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Publication Details

Journal
Microbiology Spectrum
Published
2024-09-09
DOI
https://doi.org/10.1128/spectrum.00493-24
Citations
1
Primary Topic
Antimicrobial Resistance in Staphylococcus
Type
article
Field-Weighted Citation Impact
0.39

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article

Genome-based model for differentiating between infection and carriage Staphylococcus aureus

Zhenjiang Yao, J.-Y. Chen, Xiaohua Ye, Jinjian Fu et al.
1 citations
Microbiology Spectrum
Antimicrobial Resistance in Staphylococcus
0.39
article

Genome-based model for differentiating between infection and carriage Staphylococcus aureus

Zhenjiang Yao, J.-Y. Chen, Xiaohua Ye, Jinjian Fu, Yuehe Li, Dejia Ouyang, Wenyin Du, Huiliu Zhou
article en
1 citations

Abstract

Defining the disease-causing isolates is the first step toward disease control. However, the disease-associated genetic elements of <i>Staphylococcus aureus</i> remain unknown, which leads to difficulties in differentiating infection isolates from harmless carriage isolates. Our comprehensive genome-wide association study (GWAS) found consensus evidence that certain genetic elements are overrepresented among infection isolates than carriage isolates, suggesting that the enrichment of disease-associated elements may promote infection. Notably, a single k-mer predictor achieved a high classification accuracy, which forms the basis for early diagnostics and interventions.

Microbiology SpectrumVol. 12(10)
Guangzhou University of Chinese Medicine (CN), Guangdong Pharmaceutical University (CN), Liuzhou Maternal and Child Health Hospital (CN)
National Natural Science Foundation of China, Basic and Applied Basic Research Foundation of Guangdong Province
Openalex Percentile: Top 37%
Antimicrobial Resistance in Staphylococcus
0.39
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Genome-based model for differentiating between infection and carriage <i>Staphylococcus aureus</i> — Zhenjiang Yao, J.-Y. Chen, et al. · Microbiology Spectrum (2024) | TGRS Research Map | TGRS