Identification of novel microcystins in algal extracts by a liquid chromatography–high-resolution mass spectrometry data analysis pipeline

IF 5.5 1区 生物学 Q1 MARINE & FRESHWATER BIOLOGY Harmful Algae Pub Date : 2024-11-01 DOI:10.1016/j.hal.2024.102739
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Abstract

Background

Microcystins are an emergent public health problem. These toxins are secondary metabolites of harmful cyanobacterial blooms, with blooms becoming more prevalent with eutrophication of water. Exposure to microcystins can result in sickness, liver damage, and even death. Over 300 microcystins have been identified to date, with differences in toxicity based on the specific amino acid composition. Because of this diversity in microcystins, as well as the likelihood of detecting as yet undiscovered microcystins, it is vital to establish a methodological workflow to identify any microcystin in a complex sample, regardless of the availability of a reference standard. Additionally, ascribing varying levels of confidence to these identifications is critical to effectively communicate discoveries.

Methods

A liquid-chromatography–high-resolution mass spectrometry method was utilized to identify microcystins present in cyanobacterial extracts from a strain of Microcystis aeruginosa and an Aphanizomenon sp. First, microcystin congeners with available standards were identified in the cyanobacterial extract. These known-unknown microcystins were considered to have the highest confidence identifications due to availability of accurate masses, retention times, and library spectra for comparison. Utilizing the spectra of these microcystins, relatively high-abundance diagnostic product-ions were identified and employed to screen the data for additional candidate microcystins. Microcystins without a standard that had an exact mass matching a microcystin published in CyanoMetDB were considered semi-known-unknown microcystins. The remaining microcystins were considered unknown-unknown microcystins. The identities of the microcystins determined herein were additionally supported by product-ion analysis, thiol reactivity, esterification reactions, neutral loss analysis, and literature contextualization.

Results

In total, utilizing the systematic workflow presented herein, 23 microcystins were identified in the M. aeruginosa culture, including two not published previously: [d-Asp3]MC-LCit and the incompletely identified MC-L(C7H11NO3).

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利用液相色谱-高分辨质谱数据分析管道鉴定藻类提取物中的新型微囊藻毒素
背景微囊藻毒素是一个新出现的公共卫生问题。这些毒素是有害蓝藻藻华的次级代谢产物,随着水体富营养化,藻华变得越来越普遍。接触微囊藻毒素会导致疾病、肝损伤甚至死亡。迄今已发现 300 多种微囊藻毒素,其毒性因特定的氨基酸组成而异。由于微囊藻毒素种类繁多,而且有可能检测到尚未发现的微囊藻毒素,因此,无论是否有参考标准,都必须建立一套方法工作流程,以鉴定复杂样本中的任何微囊藻毒素。首先,在蓝藻提取物中鉴定出具有可用标准的微囊藻毒素同系物。这些已知-未知的微囊藻毒素被认为是可信度最高的鉴定物,因为它们有准确的质量、保留时间和库谱可作比较。利用这些微囊藻毒素的光谱,确定了相对高丰度的诊断产物离子,并利用这些数据筛选出其他候选微囊藻毒素。没有与 CyanoMetDB 中公布的微囊藻毒素质量完全匹配的标准微囊藻毒素被视为半未知微囊藻毒素。其余的微囊藻毒素被视为未知微囊藻毒素。本文确定的微囊藻毒素的身份还得到了产物离子分析、硫醇反应性、酯化反应、中性损失分析和文献背景分析的支持。结果利用本文介绍的系统工作流程,总共在铜绿微囊藻培养物中鉴定出 23 种微囊藻毒素,其中包括两种以前未发表的微囊藻毒素:[d-Asp3]MC-LCit 和未完全鉴定的 MC-L(C7H11NO3)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Harmful Algae
Harmful Algae 生物-海洋与淡水生物学
CiteScore
12.50
自引率
15.20%
发文量
122
审稿时长
7.5 months
期刊介绍: This journal provides a forum to promote knowledge of harmful microalgae and macroalgae, including cyanobacteria, as well as monitoring, management and control of these organisms.
期刊最新文献
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