使用植物动力学推断量化药物耐药的西格拉菌种中的等离子体运动
Nicola F Müller1,2, Ryan R Wick3, Louise M Judd4
1Division of HIV, ID and Global Medicine, University of California San Francisco, San Francisco, California, United States of America.
PLoS pathogens
|December 1, 2025
概括
我们开发了一种新的计算方法来跟踪抗微生物耐药性 (AMR) 基因如何通过塑体在细菌之间移动. 这有助于了解AMR的传播,这是一个主要的全球健康威胁.
科学领域:
- 微生物学 微生物学
- 进化生物学 进化生物学
- 计算生物学 计算生物学
背景情况:
- 抗菌素耐药性 (AMR) 是一个日益严重的全球健康危机.
- 抗菌激素基因经常位于等离子体上,这些是可以在细菌之间转移的移动遗传元素.
- 量化等离子体运动和AMR基因传播在计算上具有挑战性.
研究的目的:
- 引入一种新的计算方法,用于重建和量化细菌群中的等离子体运动.
- 模拟染色体和等离子体DNA的共同进化,以推断等离子体转移事件.
- 在五年时间内分析Shigella种群中的AMR等离子体动态.
主要方法:
- 开发了一种贝叶斯系遗传网络方法,模拟了联合染色体和等离子体DNA的共同进化.
- 结合了凝聚过程和等离子体转移模型来推断进化历史.
- 将该方法应用于5年的Shigella数据集,分析了5种具有不同AMR和毒性概况的等离子体.
主要成果:
- 重建了一个大型Shigella毒性等离子体与染色体DNA的共同进化.
- 对三种在Shigella sonnei血统之间移动的小等离子体进行了量化较高的转移率.
- 确定了S. sonnei和S. flexneri之间一种多抗药性等离子体的最近独立传播事件.
结论:
- 这种新的方法准确地重建了等离子体的运动和细菌系之间的转移率.
- 这种方法提高了对携带AMR的等离子体动态的理解,包括引入,循环和维护.
- 这些发现突出了特定的等离子体转移事件,这些事件有助于西格拉菌中多药耐药性的传播.
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