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一种高通量发现隐藏微生物代谢产物的无遗传学方法。

A genetics-free method for high-throughput discovery of cryptic microbial metabolites.

机构信息

Department of Chemistry, Princeton University, Princeton, NJ, USA.

Department of Molecular Biology, Princeton University, Princeton, NJ, USA.

出版信息

Nat Chem Biol. 2019 Feb;15(2):161-168. doi: 10.1038/s41589-018-0193-2. Epub 2019 Jan 7.

Abstract

Bacteria contain an immense untapped trove of novel secondary metabolites in the form of 'silent' biosynthetic gene clusters (BGCs). These can be identified bioinformatically but are not expressed under normal laboratory growth conditions. Methods to access their products would dramatically expand the pool of bioactive compounds. We report a universal high-throughput method for activating silent BGCs in diverse microorganisms. Our approach relies on elicitor screening to induce the secondary metabolome of a given strain and imaging mass spectrometry to visualize the resulting metabolomes in response to ~500 conditions. Because it does not require challenging genetic, cloning, or culturing procedures, this method can be used with both sequenced and unsequenced bacteria. We demonstrate the power of the approach by applying it to diverse bacteria and report the discovery of nine cryptic metabolites with potentially therapeutic bioactivities, including a new glycopeptide chemotype with potent inhibitory activity against a pathogenic virus.

摘要

细菌中含有大量尚未开发的新型次级代谢产物,这些产物以“沉默”的生物合成基因簇(BGCs)的形式存在。这些 BGCs 可以通过生物信息学方法进行鉴定,但在正常实验室生长条件下不会表达。获取这些产物的方法将极大地扩展生物活性化合物的库。我们报告了一种在多种微生物中激活沉默 BGCs 的通用高通量方法。我们的方法依赖于诱导物筛选来诱导给定菌株的次级代谢组,并用成像质谱法来可视化对~500 种条件的反应产生的代谢组。由于它不需要具有挑战性的遗传、克隆或培养程序,因此该方法可用于已测序和未测序的细菌。我们通过将该方法应用于不同的细菌来证明该方法的强大功能,并报告了发现的 9 种具有潜在治疗生物活性的新型代谢产物,包括一种具有抗致病性病毒的新型糖苷肽化学型的强效抑制活性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bdac/6339573/ffb0781aca0d/nihms-1512142-f0001.jpg

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