来自Sphae的菌体治疗候选人:用于预测测序数据的自动化工具包
Bhavya Papudeshi1, Michael J Roach1,2, Vijini Mallawaarachchi1
1Flinders Accelerator for Microbiome Exploration, College of Science and Engineering, Flinders University, Adelaide, SA, 5042, Australia.
bioRxiv : the preprint server for biology
|November 28, 2024
概括
Sphae是一个快速的生物信息学管道,用于评估菌体治疗候选人. 它自动化基因组查以识别安全有效的菌体,加速抗菌素耐药性治疗的开发.
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.
- 基因组学就是基因组学.
背景情况:
- 抗菌素耐药性需要新的治疗策略.
- 菌体治疗为抗生素提供了一个有希望的替代品.
- 选择安全有效的菌体需要进行彻底的基因组分析.
研究的目的:
- 开发一个自动化生物信息学管道,Sphae,用于快速基因组选的菌体治疗候选人.
- 简化识别基因组标记物,表明菌体中的潜在风险.
- 为了加快对菌体适合治疗应用的评估.
主要方法:
- 使用Snakemake.com开发Sphae,这是一个自动化的生物信息管道.
- 整合用于质量控制,组装,基因组评估和特定于菌体生物学的注释工具.
- 自动检测毒性因子,抗微生物耐药性基因和 lysogeny 指标.
主要成果:
- 在不到10分钟的时间里,Sphae可以评估菌体的治疗潜力.
- 对65个菌素序列的基准测试显示了不同的结果:28个显示潜在,8个组装失败,22个具有不必要的标记物,23个包含多个基因组.
- 管道生成全面的报告,以便快速评估安全性和适用性.
结论:
- Sphae显著加快了用于治疗的菌体的基因组评估.
- 该管道提高了临床应用的菌体选择的安全性和效率.
- 斯派的可扩展性和可移植性使其能够在多种不同的计算平台上部署.
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