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.
Authors
- Zhenjiang Yao (ORCID: https://orcid.org/0000-0002-2156-7896)
- J.-Y. Chen
- Xiaohua Ye (ORCID: https://orcid.org/0000-0003-4378-7600)
- Jinjian Fu (ORCID: https://orcid.org/0000-0003-1912-5885)
- Yuehe Li
- Dejia Ouyang
- Wenyin Du
- Huiliu Zhou
Institutions
- Guangzhou University of Chinese Medicine (CN)
- Guangdong Pharmaceutical University (CN)
- Liuzhou Maternal and Child Health Hospital (CN)
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
Funders
- National Natural Science Foundation of China
- Basic and Applied Basic Research Foundation of Guangdong Province