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难以抵挡的热度:鬼椒中发现的抗菌肽。

Too Hot to Handle: Antibacterial Peptides Identified in Ghost Pepper.

机构信息

Department of Chemistry, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27514, United States.

Department of Cell Biology, Microbiology and Molecular Biology, University of South Florida, Tampa, Florida 33620, United States.

出版信息

J Nat Prod. 2021 Aug 27;84(8):2200-2208. doi: 10.1021/acs.jnatprod.1c00281. Epub 2021 Aug 17.

Abstract

spp. (hot peppers) demonstrate a range of interesting bioactive properties spanning anti-inflammatory, antioxidant, and antimicrobial activities. While several species within the genus are known to produce antimicrobial peptides (AMPs), AMP sequence mining of genomic data indicates this space remains largely unexplored. Herein, in silico AMP predictions were paired with peptidomics to identify novel AMPs from the interspecific hybrid ghost pepper ( × ). AMP prediction algorithms revealed 115 putative AMPs within the genome, of which 14 were identified in the aerial tissue peptidome. PepSAVI-MS, de novo sequencing, and complementary approaches were used to fully molecularly characterize two novel AMPs, CC-AMP1 and CC-AMP2, including elucidation of a pyroglutamic acid post-translational modification of CC-AMP1 and disulfide bond connectivity of both. Both CC-AMP1 and CC-AMP2 have little homology with known AMPs and exhibited low μM antimicrobial activity against Gram-negative bacteria, including . These findings demonstrate the complementary nature of peptidomics, bioactivity-guided discovery, and bioinformatics-based investigations to characterize plant AMP profiles.

摘要

种(辣椒)表现出一系列有趣的生物活性特性,包括抗炎、抗氧化和抗菌活性。虽然该属的几个物种被认为能产生抗菌肽(AMPs),但对基因组数据的 AMP 序列挖掘表明,这一领域仍在很大程度上未被探索。在此,通过计算机预测的 AMP 与肽组学相结合,从种间杂交鬼椒(×)中鉴定出新型 AMP。AMP 预测算法在基因组中发现了 115 种潜在的 AMP,其中 14 种在气生组织肽组中被鉴定出来。采用 PepSAVI-MS、从头测序和互补方法对两种新型 AMPs,CC-AMP1 和 CC-AMP2 进行了全面的分子表征,包括对 CC-AMP1 的吡咯烷酮羧酸(pyroglutamic acid)翻译后修饰和两个 AMP 的二硫键连接的阐明。CC-AMP1 和 CC-AMP2 与已知的 AMP 几乎没有同源性,对革兰氏阴性菌(包括)具有低 μM 的抗菌活性。这些发现证明了肽组学、基于生物活性的发现和基于生物信息学的研究在表征植物 AMP 图谱方面具有互补性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9194/8600445/391043779838/nihms-1755274-f0001.jpg

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