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采用基于表观遗传培养的方法对南非叶凋落物真菌物种的化学多样性进行代谢组学分析。

Metabolomic Analysis of The Chemical Diversity of South Africa Leaf Litter Fungal Species Using an Epigenetic Culture-Based Approach.

机构信息

Fundación MEDINA, Av. Conocimiento 34, Health Sciences Technology Park, 18016 Granada, Spain.

出版信息

Molecules. 2021 Jul 14;26(14):4262. doi: 10.3390/molecules26144262.

Abstract

Microbial natural products are an invaluable resource for the biotechnological industry. Genome mining studies have highlighted the huge biosynthetic potential of fungi, which is underexploited by standard fermentation conditions. Epigenetic effectors and/or cultivation-based approaches have successfully been applied to activate cryptic biosynthetic pathways in order to produce the chemical diversity suggested in available fungal genomes. The addition of Suberoylanilide Hydroxamic Acid to fermentation processes was evaluated to assess its effect on the metabolomic diversity of a taxonomically diverse fungal population. Here, metabolomic methodologies were implemented to identify changes in secondary metabolite profiles to determine the best fermentation conditions. The results confirmed previously described effects of the epigenetic modifier on the metabolism of a population of 232 wide diverse South Africa fungal strains cultured in different fermentation media where the induction of differential metabolites was observed. Furthermore, one solid-state fermentation (BRFT medium), two classic successful liquid fermentation media (LSFM and YES) and two new liquid media formulations (MCKX and SMK-II) were compared to identify the most productive conditions for the different populations of taxonomic subgroups.

摘要

微生物天然产物是生物技术产业的宝贵资源。基因组挖掘研究突出了真菌巨大的生物合成潜力,但这一潜力尚未被标准发酵条件所充分利用。表观遗传效应物和/或基于培养的方法已成功应用于激活隐藏的生物合成途径,以生产现有真菌基因组中所暗示的化学多样性。本文评估了向发酵过程中添加琥珀酰亚胺基羟肟酸,以评估其对分类多样化真菌群体代谢组多样性的影响。在这里,采用代谢组学方法来确定次生代谢产物谱的变化,以确定最佳发酵条件。结果证实了先前描述的表观遗传调节剂对 232 种南非真菌菌株在不同发酵培养基中培养的种群代谢的影响,其中观察到差异代谢物的诱导。此外,还比较了一种固态发酵(BRFT 培养基)、两种经典的成功液体发酵培养基(LSFM 和 YES)和两种新的液体培养基配方(MCKX 和 SMK-II),以确定不同分类亚群的菌群的最具生产力的条件。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d0c2/8305139/59a5096c8d62/molecules-26-04262-g001.jpg

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