在基于全基因组序列数据的基础上,预测大肠杆菌对第三代头类素的降低敏感性的局限性
Anna Heydecke1, Hong Yin2, Eva Tano3
1Center for Research and Development Gävleborg, Uppsala University, Gävle, Sweden.
PloS one
|November 30, 2023
概括
全基因组测序 (WGS) 准确预测了大多数大肠杆菌分离物中的抗生素耐药性. 然而,生物因素和分析截止值可能会影响WGS的准确性,需要基于证据的标准来获得可靠的结果.
科学领域:
- 微生物学 微生物学
- 基因组学就是基因组学.
- 传染性疾病 传染性疾病
背景情况:
- 使用全基因组测序 (WGS) 预测抗生素耐药性是一个正在发展中的领域.
- 预测耐药性的WGS的准确性可能会受到耐药性机制的基础生物学的影响.
研究的目的:
- 将WGS的准确性与传统的抗微生物敏感性测试 (AST) 进行比较,以识别大肠杆菌中的扩展光谱β-乳糖酶 (ESBL).
- 调查WGS和AST结果之间的差异.
主要方法:
- 全基因组测序 (WGS) 在419个大肠杆菌单独体上进行.
- 抗微生物敏感性测试 (AST) 被用作表型参考.
- 用BLASTn和srst2分析了WGS数据,用于对抗性基因的预测.
- 不一致的结果被分为生物学和序列分析相关的解释.
主要成果:
- 在91% (381/419) 的分离物中,WGS与表型检测一致.
- 差异归因于诸如酶活性较弱,等离子体损失,其他抗性机制和序列分析参数 (例如,读取深度,核酸标识和覆盖范围的切断值) 等因素.
结论:
- 传统的AST和基于WGS的阻力预测都有局限性.
- 建立基于证据的序列分析标准对于提高WGS在预测抗生素耐药性的可靠性至关重要.
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