拓数据分析捕获了临床相关细菌中抗微生物耐药性基因家族的水平基因转移
Shaday Guerrero-Flores1, Haydeé Contreras-Peruyero1, José María Ibarra-Rodríguez2
1Centro de Ciencias Matemáticas, Universidad Nacional Autónoma de México, Morelia, Mexico.
Frontiers in microbiology
|May 22, 2025
概括
抗生素耐药性是一个主要的威胁. 使用持久同质的拓数据分析揭示了细菌抵抗体中水平基因转移的独特模式,为抗菌素耐药性的移动性提供了新的见解.
科学领域:
- 微生物学 微生物学
- 计算生物学 计算生物学
- 拓学的拓学
背景情况:
- 抗生素耐药性构成了全球严重的健康威胁,预计到2050年每年会造成1000万人的死亡.
- 医院是多药耐药性的重要驱动因素,主要是通过横向基因转移.
- 在没有基因组序列或元数据的情况下分析细菌抵抗体是一个重大挑战.
研究的目的:
- 为了研究持久性同类学在分析细菌抗体和识别水平基因转移模式的实用性.
- 使用拓特征区分垂直遗传和水平基因转移.
- 将持久的同质性应用于来自大规模数据分析挑战的批判性评估中的真实世界的细菌分离数据.
主要方法:
- 在细菌抵抗体中模拟垂直和水平基因转移.
- 应用了持久性同理学和分析了持久性条形码,以量化拓特征 (1洞).
- 检查了来自细菌分离物的存在-缺席基因表,包括来自大规模数据分析挑战的批判性评估的基因表.
主要成果:
- 模拟的横向基因转移平均每三个基因组产生两个1孔.
- 证实了1个洞存在于细菌属之间水平基因转移的记录案例中.
- 在大规模数据分析的批判性评估中观察到1个洞的Klebsiella*和Escherichia*的抗体,但不是Enterobacter*.
结论:
- 持久性同源性为分析抗生素耐药性的复杂临床模式提供了一个新的框架.
- 拓特征,特别是1孔,可以作为水平基因转移的指标.
- 这种方法提供了基因组测序的替代方案,用于理解使用存在-缺席数据的抗菌素耐药性流动性.
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