后基因组时代的真菌天然产物发现

李伟,吴广畏,杨玉萍,尹文兵

菌物学报 ›› 2015, Vol. 34 ›› Issue (5) : 914-926.

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菌物学报 ›› 2015, Vol. 34 ›› Issue (5) : 914-926. DOI: 10.13346/j.mycosystema.150098 CSTR: 32115.14.j.mycosystema.150098

后基因组时代的真菌天然产物发现

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Discovery of fungal natural product in the post-genomic era

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摘要

真菌产生的次级代谢产物是新药发现的重要来源之一,然而近年来传统的真菌天然产物发现方法在大量真菌基因组测序完成的时代遇到了很大的挑战。如何利用这些基因组数据来发现真菌中新的天然产物已成为后基因组时代天然产物发现的研究重点和热点。本综述先后介绍了真菌天然产物的类型及其相应基因簇和骨架酶的特征,基于基因组挖掘技术发展而来的天然产物发现新策略,以及利用合成生物学理念和技术在真菌天然产物发现中的应用现状,最后展望了后基因组时代中的天然产物发现研究前沿及基因组数据在后基因组时代对真菌天然产物发现的应用前景。

Abstract

Fungal secondary metabolite is one of the important sources for drug discovery. Recent years, traditional strategies for discovering the novel fungal natural product have been encountered more and more challenges due to the finish of large numbers of fungal genome sequencing. The scientists have focused on the discovery of natural product from fungi via utilizing the fungal genome data in the post-genomic era. Here, the types of fungal natural product and characteristics of the related gene clusters are reviewed. The strategies such as transcriptional activation, heterologous host expression and epigenetic regulation to discover the novel natural product based on genome data and bioinformatics analysis are described. Finally, the application of synthetic biological approach in the discovery of the fungal natural products is discussed and the prospect of fungal natural product mining using genomic data in the post-genomic era is previewed.

关键词

次级代谢产物 / 基因组挖掘 / 沉默基因簇 / 合成生物学

Key words

secondary metabolite / genomic mining / silent gene clusters / synthetic biology

引用本文

导出引用
李伟, 吴广畏, 杨玉萍, 尹文兵. 后基因组时代的真菌天然产物发现[J]. 菌物学报, 2015, 34(5): 914-926 https://doi.org/10.13346/j.mycosystema.150098
LI Wei, WU Guang-Wei, YANG Yu-Ping, YIN Wen-Bing. Discovery of fungal natural product in the post-genomic era[J]. Mycosystema, 2015, 34(5): 914-926 https://doi.org/10.13346/j.mycosystema.150098

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脚注

The authors have declared that no competing interests exist.

基金

中国科学院“百人计划”(Y454011001)
国家自然科学基金(31470178)
北京市自然科学基金(5152018)
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