Multiple Classes of Antimicrobial Peptides in Amaranthus tricolor Revealed by Prediction, Proteomics, and Mass Spectrometric Characterization,Journal of Natural Products

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Multiple Classes of Antimicrobial Peptides in Amaranthus tricolor Revealed by Prediction, Proteomics, and Mass Spectrometric Characterization
Journal of Natural Products ( IF 3.3 ) Pub Date : 2021-02-12 , DOI: 10.1021/acs.jnatprod.0c01203
Tessa B Moyer ₁ , Jessie L Allen ₂ , Lindsey N Shaw ₂ , Leslie M Hicks ₁

Affiliation

Traditional medicinal plants are rich reservoirs of antimicrobial agents, including antimicrobial peptides (AMPs). Advances in genomic sequencing, in silico AMP predictions, and mass spectrometry-based peptidomics facilitate increasingly high-throughput bioactive peptide discovery. Herein, Amaranthus tricolor aerial tissue was profiled via MS-based proteomics/peptidomics, identifying AMPs predicted in silico. Bottom-up proteomics identified seven novel peptides spanning three AMP classes including lipid transfer proteins, snakins, and a defensin. Characterization via top-down peptidomic analysis of Atr-SN1, Atr-DEF1, and Atr-LTP1 revealed unexpected proteolytic processing and enumerated disulfide bonds. Bioactivity screening of isolated Atr-LTP1 showed activity against the high-risk ESKAPE bacterial pathogens (Enterococcus faecium, Staphylococcus aureus, Klebsiella pneumoniae, Acinetobacter baumannii, and Enterobacter cloacae). These results highlight the potential for integrating AMP prediction algorithms with complementary -omics approaches to accelerate characterization of biologically relevant AMP peptidoforms.

中文翻译：

通过预测、蛋白质组学和质谱表征揭示三色苋中的多类抗菌肽

传统药用植物富含抗菌剂，包括抗菌肽 (AMP)。基因组测序、计算机 AMP 预测和基于质谱的肽组学的进步促进了日益高通量的生物活性肽的发现。在此，通过基于 MS 的蛋白质组学/肽组学对三色苋气生组织进行了分析，鉴定了计算机预测的 AMP。自下而上的蛋白质组学鉴定了七种新型肽，涵盖三个 AMP 类别，包括脂质转移蛋白、蛇蛋白和防御素。通过自上而下的 Atr-SN1、Atr-DEF1 和 Atr-LTP1 肽组学分析进行表征，揭示了意想不到的蛋白水解加工和列举的二硫键。分离的 Atr-LTP1 的生物活性筛选显示对高风险 ESKAPE 细菌病原体（屎肠球菌、金黄色葡萄球菌、肺炎克雷伯菌、鲍曼不动杆菌和阴沟肠杆菌）具有活性。这些结果凸显了将 AMP 预测算法与互补组学方法相结合以加速生物学相关 AMP 肽型表征的潜力。

更新日期：2021-02-26

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