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利用 MALDI MS 可视化鱼类之间的距离,快速确定鱼片的分类地位。

Visualization of the Distance among Fishes by MALDI MS for Rapid Determination of the Taxonomic Status of Fish Fillets.

机构信息

College of Food Science and Engineering, Shanghai Ocean University, Hucheng Ring Road 999, Pudong New District, 201306 Shanghai, China.

出版信息

J Agric Food Chem. 2020 Aug 5;68(31):8438-8446. doi: 10.1021/acs.jafc.0c01291. Epub 2020 Jul 23.

Abstract

Taxonomic research plays an important role in the classification of organisms. Molecular techniques provide useful tools for the determination of the taxonomic status of species, although often time-consuming and not cost-efficient. Herein, we developed a strategy to analyze fish samples in a rapid mode. Experimentally, fish fillet samples were pretreated with trifluoroacetic acid aqueous solution, and the obtained protein fraction was analyzed by matrix-assisted laser desorption/ionization mass spectrometry. Principal component analysis of mass spectrometric datasets was used to visualize the taxonomical distance among the analyzed 13 seafood species. The results were illustrated using treemaps where the fish relationship distance can be visualized. The obtained mass spectral results can be taken as reference and successfully used for the identification of unknown fish fillet samples. It is promising to utilize the present strategy to provide clues for the taxonomy study among ambiguous species and identify fish species.

摘要

分类学研究在生物分类中起着重要作用。分子技术为确定物种的分类地位提供了有用的工具,尽管它们通常耗时且成本效益不高。在此,我们开发了一种快速分析鱼类样本的策略。在实验中,用三氟乙酸水溶液预处理鱼片样本,然后通过基质辅助激光解吸/电离质谱分析获得的蛋白质部分。主成分分析用于可视化分析的 13 种海鲜物种之间的分类距离。使用树图来直观展示鱼类的亲缘关系距离,从而展示结果。所获得的质谱结果可以作为参考,并成功用于鉴定未知的鱼片样本。该策略有望为解决分类学上模糊物种之间的关系以及鉴定鱼类物种提供线索。

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