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Updated: Jan 13, 2026

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Woo Jin Kim¹, Chorong Hahm¹, Dongin Kim¹

¹EONE Laboratories, Incheon 22014, Republic of Korea.

|October 29, 2025

概括

使用16S rRNA标记基因进行预测功能分析,对抗微生物耐药性 (AMR) 检测的准确性较低. 增强AMR数据库和算法对于在公共卫生监测中可靠地预测抗药性至关重要.

科学领域:

微生物学微生物学
生物信息学是一种生物信息学.
公共卫生公共卫生

背景情况:

对抗生素耐药性 (AMR) 的监测对临床和公共卫生至关重要.
传统的基于文化的方法是标准的,但使用16S rRNA基因分析的文化独立工具正在出现.
这些预测性AMR工具的评估是有限的.

研究的目的:

评估用于检测抗微生物耐药性 (AMR) 的培养独立功能预测工具的准确性.
为了比较PICRUSt2,Tax4Fun和MicFunPred (基于16SrRNA) 与猎枪测序 (AMRFinderPlus) 的性能.
评估基于16S rRNA基因标记物的功能分析对AMR监测的有用性.

主要方法:

分析了20种大肠杆菌菌株 (10种耐碳烯,10种敏感).
通过Vitek2确定AMR表型;提取DNA用于16SrRNA (V3-V4) 和猎枪测序.
生物信息管道:QIIM2 (16S rRNA),MetaPhlAn4 (shotgun); 功能预测工具:PICRUSt2,Tax4Fun,MicFunPred (16S rRNA),AMRFinderPlus (shotgun) 这两个管道是最重要的.

主要成果:

对于16S rRNA预测分析仪的F1评分很低:Tax4Fun (0.22),PICRUSt2 (0.12),MicFunPred (0.08) 等.
在基于16SrRNA的工具中,Tax4Fun的F1得分是最高的.
将预测的AMR概况与猎枪测序进行比较,发现其准确性普遍较低.

结论:

目前基于16S rRNA基因的功能预测工具对于AMR检测的准确性有限.
专门的AMR数据库和改进的算法对于可靠的抗药性预测是必要的.
需要进行进一步的研究,以增强在抗菌耐药性监测中培养独立方法的实用性.

关键词:

埃舍里希亚大肠杆菌 (Escherichia coli) 是一个大肠杆菌.这就是MicFunPred.皮克鲁斯t2t2t2t2t 在税收4FunFun.抗微生物基因 (ARG) 是一种抗微生物基因.抗微生物耐药性抗微生物耐药性 AMR 基因基因基因基因基因预测工具.

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