PIPdb:一个全面的等离子体序列资源,用于跟踪病原性因素和抗菌素耐药性基因的水平转移
Qianhui Zhu1,2, Qi Chen1,3, Shenghan Gao1,2
1Microbial Resource and Big Data Center, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China.
Nucleic acids research
|October 26, 2024
概括
病原菌中的等离子体数据库 (PIPdb) 是研究病原菌中的等离子体的新资源. 它有助于追踪抗生素耐药性和毒性基因,这对抗生素的生命至关重要.
科学领域:
- 微生物学 微生物学
- 基因组学就是基因组学.
- 生物信息学是一种生物信息学.
背景情况:
- 等离子体是移动的遗传元素,可以携带耐药性和毒性基因,促进它们在病原体之间传播.
- 在"一健康"倡议下,控制等离子体传播对公共卫生至关重要.
- 对病原体中的等离子体进行全面的表征对于有效的控制策略至关重要.
研究的目的:
- 引入"病原体中的等离子体数据库" (PIPdb),这是一个用于综合性等离子体分析的新资源.
- 为病原细菌等离子体的详细元数据和功能注释提供一个集中平台.
- 促进研究等离子体流行病学,进化和抗菌素耐药性基因 (ARG) 的传播.
主要方法:
- 从1,009,571个组装的基因组中策划了792,964个等离子体段集群 (PSC) 的大型数据集.
- 收集的多维元数据包括地理来源,宿主分类学和息地.
- 对等离子体类型,ARG,毒性因子和移动遗传元素进行了广泛的功能注释.
主要成果:
- PIPdb是第一个专门用于病原细菌中的等离子体的数据库.
- 该数据库包含了110个属的450个物种的等离子体的详细信息.
- 包括用于等离子体识别,注释和风险评估的用户友好工具.
结论:
- PIPdb是了解病原体中的等离子体动态的一个开创性资源.
- 促进对ARG和毒性因子传播的研究.
- 支持"一个健康"的方法,使高风险等离子体能够更好地表征和控制.
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