Synteruptor:挖掘基因组岛屿,寻找非经典的专门代谢物基因集群
Drago Haas1, Matthieu Barba1, Cláudia M Vicente2
1Université Paris-Saclay, CEA, CNRS, Institute for Integrative Biology of the Cell (I2BC), 91198, Gif-sur-Yvette, France.
NAR genomics and bioinformatics
|June 25, 2024
概括
一个新的工具Synteruptor有助于发现微生物专用代谢物生物合成基因集群 (SMBGCs),而其他方法没有发现. 它在Streptomyces ambofaciens中发现了一种新的SMBGC,揭示了新的自然产品,如.
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.
- 自然产品的发现自然产品的发现
背景情况:
- 微生物特种代谢物生物合成基因集群 (SMBGCs) 对于识别新药化合物至关重要.
- 现有的生物信息工具主要依赖于序列相似性,可能会忽视使用新型酶的SMBGC.
- 基因组岛屿被认为是SMBGCs的热点.
研究的目的:
- 引入Synteruptor,这是一个用于在相关物种的基因组群岛内识别SMBGCs的新型程序.
- 解决当前SMBGC检测工具在识别含有不足特征酶的集群方面的局限性.
- 改进SMBGCs的划分和边界. 为了改进SMBGCs的划分和边界.
主要方法:
- 开发和应用Synteruptor用于检测富含SMBGCs的基因组岛屿.
- 使用Synteruptor检测SMBGC的比较分析与之前的antiSMASH版本.
- 在 *Streptomyces ambofaciens* ATCC23877.7 中实验验证一种新发现的SMBGC.
主要成果:
- 在 *Streptomyces ambofaciens* ATCC23877.7 中,Synteruptor 成功地发现了以前未被检测到的SMBGC.
- 这种SMBGC经过实验证实能够指导两个代谢物的生物合成,包括新型化合物.
- Synteruptor在划分单个SMBGC和精炼集群边界方面被证明是有效的.
结论:
- Synteruptor是发现新型SMBGC和天然产品的宝贵工具,特别是那些基于序列相似性的方法错过的产品.
- 该工具提高了SMBGC识别和边界定义的准确性.
- 这项工作扩大了已知的微生物二次代谢产物库,并为药物发现提供了新的资源.
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