在Actinobacteria中利用监管网络来发现天然产品
Hannah E Augustijn1,2, Anna M Roseboom2, Marnix H Medema1,2
1Bioinformatics Group, Wageningen University, Wageningen, The Netherlands.
Journal of industrial microbiology & biotechnology
|April 3, 2024
概括
动态细菌产生有价值的天然产品,但发现它们是具有挑战性的. 分析转录因子结合部位的新计算和实验方法可以帮助优先考虑和激活用于药物发现的静态基因集群.
科学领域:
- 微生物学 微生物学
- 基因组学就是基因组学.
- 生物化学 生物化学
背景情况:
- 动态细菌是各种生物活性天然产品的丰富生产者,包括抗生素和抗癌剂.
- 鉴定和激活对这些化合物负责的生物合成基因集群 (BGCs) 是至关重要的,但由于沉默的BGC和低选ROI,因此具有挑战性.
- 了解复杂的调节网络控制基因表达在Actinobacteria是克服这些发现障碍的关键.
研究的目的:
- 审查最近实验和计算方法的进展,以表征和预测转录因子结合位 (TFBS).
- 突出这些方法的应用,以指导从Actinobacteria发现天然产品.
- 建议以监管为指导的基因组挖掘作为优先级和激活BGCs的战略.
主要方法:
- 对TFBS识别的实验技术的审查.
- 用于TFBS预测的计算算法概述.
- 讨论将TFBS数据与基因组挖掘用于自然产品发现的整合.
主要成果:
- 最近的进展使得TFBS在Actinobacteria中的表征和预测更加准确.
- 这些方法提供了一个强大的方法来识别控制BCC表达的监管元素.
- 通过分析其监管格局,可以实现BGCs的激活优先级.
结论:
- 监管导向的基因组挖掘是发现新型自然产品的有希望的策略.
- 预测TFBS对于理解和操纵BGC表达是必不可少的.
- 合成生物学方法与监管见解相结合,可以释放无声BGC的潜力.
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