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使用概率序列分析和莱文施泰因距离算法对Staphylococcus epidermidis树皮菌进行细分

Ryan Yuki Huang¹, Chengye Zhang², Han Liang Lim³

¹Department of Computer Science, Program in Liberal Medical Education (PLME), Brown University, Providence, RI, 02906, USA. ryan_y_huang@brown.edu.

Current microbiology

|January 10, 2025

概括

在Staphylococcus epidermidis (S. epidermidis) 16S rRNA基因中发现了两种新的20个基对模式. 这些图案可以在各种环境中准确地对各种S. epidermidis亚种进行核型鉴定.

科学领域:

微生物学微生物学
遗传学是一个遗传学.
生物信息学是一种生物信息学.

背景情况:

斯塔菲洛科克斯表皮菌 (S. epidermidis) 是一种常见的细菌,在各种环境中发现.
精确地分类S. epidermidis对于流行病学和生态学研究至关重要.
现有的S. epidermidis分类方法可能需要改进以获得更广泛的适用性.

研究的目的:

为了识别新型遗传标记物用于 Staphylococcus epidermidis (S. epidermidis) 亚种的 ribo typing.
为了建立S. epidermidis 16S rRNA基因的参考序列.
评估各种S. epidermidis分离物中已识别的基因的流行程度和有用性.

主要方法:

利用2507个PCR增强的16SrRNA基因的概率序列分析,从公共数据集中读取.
为S. epidermidis 16S rRNA基因构建了一个序列概率标志 (序列pLogo).
应用了Levenstein距离算法来识别保存的20个基对 (bp) 动机.

主要成果:

在S. epidermidis 16S rRNA基因序列中确定了两个保存的20-bp动机.
这些图案与38个S. epidermidis分离物在人类,动物,植物和环境样本中的序列具有很高的相似性.
使用31次额外的阅读进行的验证证实了使用这些基因进行核型定型的可行性,将S. epidermidis的S1和S3菌株从S2区分开来.

结论:

两种新发现的20-bp基因为S. epidermidis的核型定型提供了有价值的参考核酸残留物.
这些图案在各种S. epidermidis隔离物和环境中显示出广泛的存在.
这些发现为分种识别和S. epidermidis.的基因分析提供了一种精细的方法.

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