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海洋甲藻中多元醇聚酮的快速筛选。

Rapid Screening of Polyol Polyketides from Marine Dinoflagellates.

机构信息

Departamento de Química Orgánica, Instituto Universitario de Bio-Orgánica Antonio González (IUBO AG), Universidad de La Laguna (ULL), Avenida Astrofísico Francisco Sánchez 2, 38206 La Laguna, Tenerife, Spain.

Department of Biomolecular Chemistry, Leibniz Institute for Natural Products Research and Infection Biology, Hans Knöll Institute (HKI), Adolf-Reichwein-Straße 23, 07745 Jena, Germany.

出版信息

Anal Chem. 2022 Oct 18;94(41):14205-14213. doi: 10.1021/acs.analchem.2c02185. Epub 2022 Oct 3.

Abstract

Dinoflagellate-derived polyketides are typically large molecules (>1000 Da) with complex structures, potent bioactivities, and high toxicities. Their discovery suffers three major bottlenecks: insufficient bioavailability, low-yield cultivation of producer organisms, and production of multiple highly related analogues by a single strain. Consequently, the biotechnological production of therapeutics or toxicological standards of dinoflagellate-derived polyketides is also hampered. Strategies based on sensitive and selective techniques for chemical prospection of dinoflagellate extracts could aid in overcoming these limitations, as it allows selecting the most interesting candidates for discovery and exploitation programs according to the biosynthetic potential. In this work, we assess the combination of data-dependent liquid chromatography coupled with high-resolution tandem mass spectrometry (LC-HRMS) and molecular networking to screen polyol polyketides. To demonstrate the power of this approach, we selected dinoflagellate since it is commonly used as a biotechnological model and produces amphidinols, a family of polyol-polyene compounds with antifungal and antimycoplasmal activity. First, we screened families of compounds with multiple hydroxyl groups by examining MS profiles that contain sequential neutral losses of water. Then, we clustered MS spectra by molecular networking to facilitate the dereplication and discovery of amphidinols. Finally, we used the MS fragmentation behavior of well-characterized luteophanol D as a model to propose a structural hypothesis of nine novel amphidinols. We envision that this strategy is a valuable approach to rapidly monitoring toxin production of known and unknown polyol polyketides in dinoflagellates, even in small culture volumes, and distinguishing strains according to their toxin profiles.

摘要

甲藻衍生的聚酮类化合物通常是分子量大于 1000 Da 的大分子,具有复杂的结构、强大的生物活性和高毒性。它们的发现存在三个主要瓶颈:生物利用度不足、产生菌的低产培养以及单一菌株产生多种高度相关的类似物。因此,甲藻衍生聚酮类化合物的生物技术生产治疗剂或毒理学标准也受到阻碍。基于对甲藻提取物进行化学勘探的敏感和选择性技术的策略可以帮助克服这些限制,因为它可以根据生物合成潜力选择最有趣的候选物用于发现和开发计划。在这项工作中,我们评估了基于数据的液相色谱与高分辨串联质谱(LC-HRMS)和分子网络相结合的方法,用于筛选多元醇聚酮类化合物。为了证明这种方法的有效性,我们选择了甲藻,因为它通常被用作生物技术模型,并产生 Amphidinols,这是一类具有抗真菌和抗支原体活性的多元醇多烯化合物。首先,我们通过检查包含连续失水的 MS 图谱,筛选出含有多个羟基的化合物家族。然后,我们通过分子网络对 MS 光谱进行聚类,以促进 Amphidinols 的去重复和发现。最后,我们使用特征明确的 Luteophanol D 的 MS 碎裂行为作为模型,提出了 9 种新型 Amphidinols 的结构假设。我们设想,这种策略是一种快速监测已知和未知多元醇聚酮类化合物在甲藻中产生毒素的有价值的方法,即使在小培养体积中,也可以根据其毒素特征来区分菌株。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5ecd/9583072/4b25672b43dd/ac2c02185_0002.jpg

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