应用重新排列距离,以使等离子体流行病学与pling
Daria Frolova1, Leandro Lima1, Leah Wendy Roberts2
1European Bioinformatics Institute, Hinxton, Cambridge CB10 1SD, UK.
Microbial genomics
|October 14, 2024
概括
追踪抗生素耐药性等离子体是具有挑战性的,因为它们的快速演变. 一个新的双切和合并Indel (DCJ-Indel) 模型和绘图软件提供了改进的等离子体分析和聚类,考虑到结构变化和可转换元素.
科学领域:
- 基因组学就是基因组学.
- 生物信息学是一种生物信息学.
- 进化生物学 进化生物学
背景情况:
- 等离子体是抗生素耐药性基因传播的关键载体.
- 由于结构的快速变化,当前的生物信息学工具难以准确分析等离子体进化.
- 现有的方法,如复制体类型或k-mer分析,在反映真正的等离子体相关性方面存在局限性.
研究的目的:
- 为准确的等离子体进化和流行病学分析开发一种新型模型和计算工作流.
- 解决现有方法在处理等离子体重组,基因增加/损失和可转移元素方面的局限性.
- 改进等离子体的聚类,以更好地了解它们的传输动态.
主要方法:
- 使用双切并连接Indel (DCJ-Indel) 模型来表示等离子体作为签名整数 (基因/块) 的序列.
- 基于转换所需的最小数量的重新排列事件和内置所计算的等离子体距离.
- 开发了集成DCJ-Indel和封闭距离的规划软件工作流程,用于TE感知等离子体网络建设.
主要成果:
- 与传统方法相比,DCJ-Indel模型提供了更有意义的等离子体距离.
- 工作流显示了在等离子体聚类中卓越的性能和可解释性.
- 具有 TE 意识的网络构建有效地减轻了可转移元素造成的过度集群.
结论:
- DCJ-Indel模型和绘图软件代表了等离子体分析的重大进步.
- 精确的等离子体跟踪对于打击抗生素耐药性至关重要.
- 这种方法提高了我们研究等离子体进化和流行病学的能力.
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