从已知的微生物中高吞吐量挖掘新型化合物:促进自然产品选
Surya Nandan Meena1, Anna Wajs-Bonikowska2, Savita Girawale1
1Department of Chemistry, Savitribai Phule Pune University, Pune 411007, India.
Molecules (Basel, Switzerland)
|July 13, 2024
概括
使用先进技术,加速从微生物中发现天然产品. 本综述详细介绍了来自静态生物合成基因集群 (BGCs) 的新型天然化合物 (NCs) 的高通量选策略.
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.
- 自然产品化学 自然产品化学
背景情况:
- 来自微生物的天然产品的发现落后于药物的发现.
- 微生物基因组包含大量未开发的静默生物合成基因集群 (BGCs) 储存库.
研究的目的:
- 提出一种具体的战略,用于从已知的微生物中对新型天然化合物 (NC) 进行高通量选.
- 讨论自然产品发现的跨学科和尖端技术.
主要方法:
- 生物信息学工具,如antiSMASH 5.0用于识别无声BGCs.
- 高通量诱导体选 (HiTES) 用于在各种条件下表达无声BGC.
- 先进的质谱技术,包括LAESI-IMS,用于快速NC识别.
主要成果:
- 识别具有无声BGCs的微生物菌株.
- 成功表达了无声的BGCs.
- 快速识别直接从微型板上获得的新型NCs.
结论:
- 先进的跨学科技术可以显著加速自然产品的发现.
- 识别和表达无声BGC的策略,再加上先进的检测方法,至关重要.
- 脱复制策略提高了新型天然化合物选的效率.
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